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feat: add time-series operators to syntax highlighting VSCODE-266 (#307)
* feat: add time-series operators to syntax highlighting VSCODE-266 * build: use npm 7 * build: use fresh package lock
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‎package-lock.json‎

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‎package.json‎

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"engines": {
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"vscode": "^1.49.0",
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"node": "^12.4.0",
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"npm": ">=6.13.0"
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"npm": "^7.19.0"
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},
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"activationEvents": [
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"onCommand:mdb.connect",
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"mocha": "^8.2.1",
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"mocha-junit-reporter": "^2.0.0",
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"mocha-multi": "^1.1.3",
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"mongodb-ace-autocompleter": "^0.4.14",
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"mongodb-ace-autocompleter": "^0.6.0",
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"mongodb-build-info": "^1.1.1",
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"mongodb-runner": "^4.8.3",
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"node-loader": "^0.6.0",

‎snippets/stage-autocompleter.json‎

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"prefix": "$geoNear",
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"body": [
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"/**",
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" * options: The geo query options.",
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" */",
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" * near: The point to search near.",
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" * distanceField: The calculated distance.",
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" * maxDistance: The maximum distance, in meters, documents can be before being excluded from results.",
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" * query: Limits results that match the query",
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" * includeLocs: Optional. Labels and includes the point used to match the document.",
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" * num: Optional. The maximum number of documents to return.",
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" * spherical: Defaults to false. Specifies whether to use spherical geometry.",
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"}",
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"\\$geoNear: {",
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" near: The point to search near.",
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" distanceField: The calculated distance.",
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" maxDistance: The maximum distance, in meters, documents can be before being excluded from results.",
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" query: Limits results that match the query",
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" includeLocs: Optional. Labels and includes the point used to match the document.",
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" num: Optional. The maximum number of documents to return.",
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" spherical: Defaults to false. Specifies whether to use spherical geometry.",
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" near: { type: 'Point', coordinates: [ ${1:number}, ${2:number} ] },",
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" distanceField: '${3:string}',",
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" maxDistance: ${4:number},",
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" query: {${5}},",
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" includeLocs: '${6}',",
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" num: ${7:number},",
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" spherical: ${8:boolean}",
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"}"
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],
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"description": "Returns documents based on proximity to a geospatial point."
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],
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"description": "Adds new fields to documents. $set outputs documents that contain all existing fields from the input documents and newly added fields."
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},
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"MongoDB Aggregations $setWindowFields": {
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"prefix": "$setWindowFields",
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"body": [
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"/**",
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" * partitionBy: partitioning of data.",
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" * sortBy: fields to sort by.",
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" * output: {",
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" * path: {",
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" * function: The window function to compute over the given window.",
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" * window: {",
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" * documents: A number of documents before and after the current document.",
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" * range: A range of possible values around the value in the current document's sortBy field.",
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" * unit: Specifies the units for the window bounds.",
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" * }",
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" * }",
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" * }",
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" */",
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"\\$setWindowFields: {",
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" partitionBy: ${1:expression},",
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" sortBy: ${2:sortSpec},",
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" output: {",
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" ${3:path}: {",
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" ${4:function}: ${5:functionArgs},",
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" window: {",
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" documents: [${6:lowerBound}, ${7:upperBound}],",
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" range: [${8:lowerBound}, ${9:upperBound}],",
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" unit: ${10:string}",
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" }",
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" },",
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" ${11:path2}: ...",
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" }",
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"}"
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],
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"description": "Capable of partitioning incoming data, and can apply one or more functions to defined windows within each partition."
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},
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"MongoDB Aggregations $skip": {
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"prefix": "$skip",
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"body": [

‎syntaxes/mongodb.tmLanguage.json‎

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}
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}
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},
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{
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"name": "meta.object.member.mongodb",
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"match": "\\$setWindowFields\\b",
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"captures": {
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"0": {
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"name": "keyword.other.aggStageOperators.setWindowFields.mongodb"
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}
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}
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},
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{
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"name": "meta.object.member.mongodb",
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"match": "\\$sample\\b",
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}
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}
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},
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{
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"name": "meta.object.member.mongodb",
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"match": "\\$dateTrunc\\b",
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"captures": {
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"0": {
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"name": "keyword.other.aggExpressionOperators.dateTrunc.mongodb"
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}
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}
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},
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{
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"name": "meta.object.member.mongodb",
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"match": "\\$dateToString\\b",
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}
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}
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},
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{
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"name": "meta.object.member.mongodb",
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"match": "\\$dateSubtract\\b",
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"captures": {
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"0": {
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"name": "keyword.other.aggExpressionOperators.dateSubtract.mongodb"
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}
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}
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},
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{
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"name": "meta.object.member.mongodb",
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"match": "\\$dateFromString\\b",
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}
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}
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},
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{
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"name": "meta.object.member.mongodb",
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"match": "\\$dateDiff\\b",
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"captures": {
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"0": {
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"name": "keyword.other.aggExpressionOperators.dateDiff.mongodb"
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}
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}
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},
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{
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"name": "meta.object.member.mongodb",
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"match": "\\$dateAdd\\b",
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"captures": {
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"0": {
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"name": "keyword.other.aggExpressionOperators.dateAdd.mongodb"
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}
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}
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},
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{
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"name": "meta.object.member.mongodb",
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"match": "\\$cond\\b",
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}
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}
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},
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{
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"name": "meta.object.member.mongodb",
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"match": "\\$shift\\b",
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"captures": {
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"0": {
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"name": "keyword.other.aggAccumulators.shift.mongodb"
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}
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}
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},
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{
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"name": "meta.object.member.mongodb",
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"match": "\\$stdDevSamp\\b",
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}
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}
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},
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{
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"name": "meta.object.member.mongodb",
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"match": "\\$rank\\b",
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"captures": {
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"0": {
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"name": "keyword.other.aggAccumulators.rank.mongodb"
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}
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}
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},
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{
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"name": "meta.object.member.mongodb",
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"match": "\\$push\\b",
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}
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}
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},
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{
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"name": "meta.object.member.mongodb",
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"match": "\\$integral\\b",
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"captures": {
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"0": {
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"name": "keyword.other.aggAccumulators.integral.mongodb"
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}
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}
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},
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{
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"name": "meta.object.member.mongodb",
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"match": "\\$first\\b",
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}
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}
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},
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{
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"name": "meta.object.member.mongodb",
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"match": "\\$expMovingAvg\\b",
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"captures": {
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"0": {
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"name": "keyword.other.aggAccumulators.expMovingAvg.mongodb"
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}
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}
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},
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{
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"name": "meta.object.member.mongodb",
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"match": "\\$documentNumber\\b",
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"captures": {
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"0": {
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"name": "keyword.other.aggAccumulators.documentNumber.mongodb"
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}
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}
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},
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{
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"name": "meta.object.member.mongodb",
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"match": "\\$denseRank\\b",
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"captures": {
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"0": {
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"name": "keyword.other.aggAccumulators.denseRank.mongodb"
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}
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}
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},
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{
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"name": "meta.object.member.mongodb",
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"match": "\\$derivative\\b",
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"captures": {
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"0": {
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"name": "keyword.other.aggAccumulators.derivative.mongodb"
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}
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}
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},
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{
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"name": "meta.object.member.mongodb",
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"match": "\\$count\\b",
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"captures": {
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"0": {
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"name": "keyword.other.aggAccumulators.count.mongodb"
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}
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}
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},
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{
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"name": "meta.object.member.mongodb",
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"match": "\\$covarianceSamp\\b",
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"captures": {
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"name": "keyword.other.aggAccumulators.covarianceSamp.mongodb"
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}
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}
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},
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{
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"name": "meta.object.member.mongodb",
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"match": "\\$covariancePop\\b",
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"captures": {
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"0": {
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"name": "keyword.other.aggAccumulators.covariancePop.mongodb"
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}
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}
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},
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{
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"name": "meta.object.member.mongodb",
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"match": "\\$avg\\b",

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