diff --git a/Demo from GeoPandas.ipynb b/Demo from GeoPandas.ipynb
new file mode 100644
index 0000000..1ec566f
--- /dev/null
+++ b/Demo from GeoPandas.ipynb	
@@ -0,0 +1,1319 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "65aeb65c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "from pathlib import Path\n",
+    "from maploc.osm.viz import GeoPlotter\n",
+    "from maploc.osm.tiling import TileManager\n",
+    "from maploc.osm.viz import Colormap, plot_nodes\n",
+    "from maploc.utils.viz_2d import plot_images\n",
+    "from maploc.utils.geo import BoundaryBox, Projection\n",
+    "from maploc.utils.exif import EXIF\n",
+    "import cv2\n",
+    "from typing import Dict, Optional, Tuple\n",
+    "import numpy as np"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "1f1ef8db-4756-40f6-81b0-435cad6b6dda",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Custom Overrides to avoid pytorch\n",
+    "def parse_location_prior(\n",
+    "    exif: EXIF,\n",
+    "    prior_latlon: Optional[Tuple[float, float]] = None,\n",
+    "    prior_address: Optional[str] = None,\n",
+    ") -> np.ndarray:\n",
+    "    latlon = None\n",
+    "    if latlon is None:\n",
+    "        geo = exif.extract_geo()\n",
+    "        if geo:\n",
+    "            alt = geo.get(\"altitude\", 0)  # read if available\n",
+    "            latlon = (geo[\"latitude\"], geo[\"longitude\"], alt)\n",
+    "        else:\n",
+    "            raise ValueError(\n",
+    "                \"No location prior given or found in the image EXIF metadata: \"\n",
+    "                \"maybe provide the name of a street, building or neighborhood?\"\n",
+    "            )\n",
+    "    return np.array(latlon)\n",
+    "\n",
+    "def read_input_image(\n",
+    "    image_path: str,\n",
+    "    prior_latlon: Optional[Tuple[float, float]] = None,\n",
+    "    prior_address: Optional[str] = None,\n",
+    "    focal_length: Optional[float] = None,\n",
+    "    tile_size_meters: int = 64,\n",
+    ") -> Tuple[np.ndarray, Tuple[str, str], Projection, BoundaryBox]:\n",
+    "    image = read_image(image_path)\n",
+    "    with open(image_path, \"rb\") as fid:\n",
+    "        exif = EXIF(fid, lambda: image.shape[:2])\n",
+    "        latlon = parse_location_prior(exif, prior_latlon, prior_address)\n",
+    "        proj = Projection(*latlon)\n",
+    "        center = proj.project(latlon)\n",
+    "        bbox = BoundaryBox(center, center) + tile_size_meters\n",
+    "        return image, None, proj, bbox\n",
+    "\n",
+    "def read_image(path, grayscale=False):\n",
+    "    if grayscale:\n",
+    "        mode = cv2.IMREAD_GRAYSCALE\n",
+    "    else:\n",
+    "        mode = cv2.IMREAD_COLOR\n",
+    "    image = cv2.imread(str(path), mode)\n",
+    "    if image is None:\n",
+    "        raise ValueError(f\"Cannot read image {path}.\")\n",
+    "    if not grayscale and len(image.shape) == 3:\n",
+    "        image = np.ascontiguousarray(image[:, :, ::-1])  # BGR to RGB\n",
+    "    return image"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "9b2905bb",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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+       "        if (window.MathJax && window.MathJax.Hub && window.MathJax.Hub.Config) {window.MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}\n",
+       "        if (typeof require !== 'undefined') {\n",
+       "        require.undef(\"plotly\");\n",
+       "        define('plotly', function(require, exports, module) {\n",
+       "            /**\n",
+       "* plotly.js v2.35.2\n",
+       "* Copyright 2012-2024, Plotly, Inc.\n",
+       "* All rights reserved.\n",
+       "* Licensed under the MIT license\n",
+       "*/\n",
+       "/*! For license information please see plotly.min.js.LICENSE.txt */\n",
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r=l[t],s=null;s=o?i(r,e.range):Math.pow(10,r),n(s)||(s=null),a(c+t,s)}}},63737:function(t,e,r){\"use strict\";var n=r(34809),i=r(29714),a=r(59008),o=r(53271),s=r(50222);function l(t,e,r){function a(r,i){return n.coerce(t,e,s,r,i)}var l=a(\"visible\"),c=a(\"clicktoshow\");if(l||c){o(t,e,r,a);for(var u=e.showarrow,h=[\"x\",\"y\"],f=[-10,-30],p={_fullLayout:r},d=0;d<2;d++){var m=h[d],g=i.coerceRef(t,e,p,m,\"\",\"paper\");if(\"paper\"!==g&&i.getFromId(p,g)._annIndices.push(e._index),i.coercePosition(e,p,a,g,m,.5),u){var y=\"a\"+m,v=i.coerceRef(t,e,p,y,\"pixel\",[\"pixel\",\"paper\"]);\"pixel\"!==v&&v!==g&&(v=e[y]=\"pixel\");var x=\"pixel\"===v?f[d]:.4;i.coercePosition(e,p,a,v,y,x)}a(m+\"anchor\"),a(m+\"shift\")}if(n.noneOrAll(t,e,[\"x\",\"y\"]),u&&n.noneOrAll(t,e,[\"ax\",\"ay\"]),c){var _=a(\"xclick\"),b=a(\"yclick\");e._xclick=void 0===_?e.x:i.cleanPosition(_,p,e.xref),e._yclick=void 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C=\"clip\"+w._uid+\"_ann\"+r;if(e._input&&!1!==e.visible){var L={x:{},y:{}},I=+e.textangle||0,P=w._infolayer.append(\"g\").classed(_,!0).attr(\"data-index\",String(r)).style(\"opacity\",e.opacity),z=P.append(\"g\").classed(\"annotation-text-g\",!0),O=k[e.showarrow?\"annotationTail\":\"annotationPosition\"],D=e.captureevents||k.annotationText||O,R=z.append(\"g\").style(\"pointer-events\",D?\"all\":null).call(p,\"pointer\").on(\"click\",(function(){t._dragging=!1,t.emit(\"plotly_clickannotation\",Z(n.event))}));e.hovertext&&R.on(\"mouseover\",(function(){var r=e.hoverlabel,n=r.font,i=this.getBoundingClientRect(),a=t.getBoundingClientRect();h.loneHover({x0:i.left-a.left,x1:i.right-a.left,y:(i.top+i.bottom)/2-a.top,text:e.hovertext,color:r.bgcolor,borderColor:r.bordercolor,fontFamily:n.family,fontSize:n.size,fontColor:n.color,fontWeight:n.weight,fontStyle:n.style,fontVariant:n.variant,fontShadow:n.fontShadow,fontLineposition:n.fontLineposition,fontTextcase:n.fontTextcase},{container:w._hoverlayer.node(),outerContainer:w._paper.node(),gd:t})})).on(\"mouseout\",(function(){h.loneUnhover(w._hoverlayer.node())}));var F=e.borderwidth,B=e.borderpad,N=F+B,j=R.append(\"rect\").attr(\"class\",\"bg\").style(\"stroke-width\",F+\"px\").call(c.stroke,e.bordercolor).call(c.fill,e.bgcolor),U=e.width||e.height,V=w._topclips.selectAll(\"#\"+C).data(U?[0]:[]);V.enter().append(\"clipPath\").classed(\"annclip\",!0).attr(\"id\",C).append(\"rect\"),V.exit().remove();var q=e.font,H=w._meta?o.templateString(e.text,w._meta):e.text,G=R.append(\"text\").classed(\"annotation-text\",!0).text(H);k.annotationText?G.call(f.makeEditable,{delegate:R,gd:t}).call(W).on(\"edit\",(function(r){e.text=r,this.call(W),S(\"text\",r),y&&y.autorange&&M(y._name+\".autorange\",!0),x&&x.autorange&&M(x._name+\".autorange\",!0),i.call(\"_guiRelayout\",t,E())})):G.call(W)}else n.selectAll(\"#\"+C).remove();function Z(t){var n={index:r,annotation:e._input,fullAnnotation:e,event:t};return a&&(n.subplotId=a),n}function W(r){return r.call(u.font,q).attr({\"text-anchor\":{left:\"start\",right:\"end\"}[e.align]||\"middle\"}),f.convertToTspans(r,t,Y),r}function Y(){var r=G.selectAll(\"a\");1===r.size()&&r.text()===G.text()&&R.insert(\"a\",\":first-child\").attr({\"xlink:xlink:href\":r.attr(\"xlink:href\"),\"xlink:xlink:show\":r.attr(\"xlink:show\")}).style({cursor:\"pointer\"}).node().appendChild(j.node());var n=R.select(\".annotation-text-math-group\"),h=!n.empty(),m=u.bBox((h?n:G).node()),_=m.width,b=m.height,A=e.width||_,D=e.height||b,B=Math.round(A+2*N),q=Math.round(D+2*N);function H(t,e){return\"auto\"===e&&(e=t<1/3?\"left\":t>2/3?\"right\":\"center\"),{center:0,middle:0,left:.5,bottom:-.5,right:-.5,top:.5}[e]}for(var W=!1,Y=[\"x\",\"y\"],X=0;X<Y.length;X++){var $,J,K,Q,tt,et=Y[X],rt=e[et+\"ref\"]||et,nt=e[\"a\"+et+\"ref\"],it={x:y,y:x}[et],at=(I+(\"x\"===et?0:-90))*Math.PI/180,ot=B*Math.cos(at),st=q*Math.sin(at),lt=Math.abs(ot)+Math.abs(st),ct=e[et+\"anchor\"],ut=e[et+\"shift\"]*(\"x\"===et?1:-1),ht=L[et],ft=l.getRefType(rt);if(it&&\"domain\"!==ft){var pt=it.r2fraction(e[et]);(pt<0||pt>1)&&(nt===rt?((pt=it.r2fraction(e[\"a\"+et]))<0||pt>1)&&(W=!0):W=!0),$=it._offset+it.r2p(e[et]),Q=.5}else{var dt=\"domain\"===ft;\"x\"===et?(K=e[et],$=dt?it._offset+it._length*K:$=T.l+T.w*K):(K=1-e[et],$=dt?it._offset+it._length*K:$=T.t+T.h*K),Q=e.showarrow?.5:K}if(e.showarrow){ht.head=$;var mt=e[\"a\"+et];if(tt=ot*H(.5,e.xanchor)-st*H(.5,e.yanchor),nt===rt){var gt=l.getRefType(nt);\"domain\"===gt?(\"y\"===et&&(mt=1-mt),ht.tail=it._offset+it._length*mt):\"paper\"===gt?\"y\"===et?(mt=1-mt,ht.tail=T.t+T.h*mt):ht.tail=T.l+T.w*mt:ht.tail=it._offset+it.r2p(mt),J=tt}else ht.tail=$+mt,J=tt+mt;ht.text=ht.tail+tt;var yt=w[\"x\"===et?\"width\":\"height\"];if(\"paper\"===rt&&(ht.head=o.constrain(ht.head,1,yt-1)),\"pixel\"===nt){var vt=-Math.max(ht.tail-3,ht.text),xt=Math.min(ht.tail+3,ht.text)-yt;vt>0?(ht.tail+=vt,ht.text+=vt):xt>0&&(ht.tail-=xt,ht.text-=xt)}ht.tail+=ut,ht.head+=ut}else J=tt=lt*H(Q,ct),ht.text=$+tt;ht.text+=ut,tt+=ut,J+=ut,e[\"_\"+et+\"padplus\"]=lt/2+J,e[\"_\"+et+\"padminus\"]=lt/2-J,e[\"_\"+et+\"size\"]=lt,e[\"_\"+et+\"shift\"]=tt}if(W)R.remove();else{var _t=0,bt=0;if(\"left\"!==e.align&&(_t=(A-_)*(\"center\"===e.align?.5:1)),\"top\"!==e.valign&&(bt=(D-b)*(\"middle\"===e.valign?.5:1)),h)n.select(\"svg\").attr({x:N+_t-1,y:N+bt}).call(u.setClipUrl,U?C:null,t);else{var wt=N+bt-m.top,Tt=N+_t-m.left;G.call(f.positionText,Tt,wt).call(u.setClipUrl,U?C:null,t)}V.select(\"rect\").call(u.setRect,N,N,A,D),j.call(u.setRect,F/2,F/2,B-F,q-F),R.call(u.setTranslate,Math.round(L.x.text-B/2),Math.round(L.y.text-q/2)),z.attr({transform:\"rotate(\"+I+\",\"+L.x.text+\",\"+L.y.text+\")\"});var kt,At=function(r,n){P.selectAll(\".annotation-arrow-g\").remove();var l=L.x.head,h=L.y.head,f=L.x.tail+r,p=L.y.tail+n,m=L.x.text+r,_=L.y.text+n,b=o.rotationXYMatrix(I,m,_),w=o.apply2DTransform(b),A=o.apply2DTransform2(b),C=+j.attr(\"width\"),O=+j.attr(\"height\"),D=m-.5*C,F=D+C,B=_-.5*O,N=B+O,U=[[D,B,D,N],[D,N,F,N],[F,N,F,B],[F,B,D,B]].map(A);if(!U.reduce((function(t,e){return t^!!o.segmentsIntersect(l,h,l+1e6,h+1e6,e[0],e[1],e[2],e[3])}),!1)){U.forEach((function(t){var e=o.segmentsIntersect(f,p,l,h,t[0],t[1],t[2],t[3]);e&&(f=e.x,p=e.y)}));var V=e.arrowwidth,q=e.arrowcolor,H=e.arrowside,G=P.append(\"g\").style({opacity:c.opacity(q)}).classed(\"annotation-arrow-g\",!0),Z=G.append(\"path\").attr(\"d\",\"M\"+f+\",\"+p+\"L\"+l+\",\"+h).style(\"stroke-width\",V+\"px\").call(c.stroke,c.rgb(q));if(g(Z,H,e),k.annotationPosition&&Z.node().parentNode&&!a){var W=l,Y=h;if(e.standoff){var X=Math.sqrt(Math.pow(l-f,2)+Math.pow(h-p,2));W+=e.standoff*(f-l)/X,Y+=e.standoff*(p-h)/X}var $,J,K=G.append(\"path\").classed(\"annotation-arrow\",!0).classed(\"anndrag\",!0).classed(\"cursor-move\",!0).attr({d:\"M3,3H-3V-3H3ZM0,0L\"+(f-W)+\",\"+(p-Y),transform:s(W,Y)}).style(\"stroke-width\",V+6+\"px\").call(c.stroke,\"rgba(0,0,0,0)\").call(c.fill,\"rgba(0,0,0,0)\");d.init({element:K.node(),gd:t,prepFn:function(){var t=u.getTranslate(R);$=t.x,J=t.y,y&&y.autorange&&M(y._name+\".autorange\",!0),x&&x.autorange&&M(x._name+\".autorange\",!0)},moveFn:function(t,r){var n=w($,J),i=n[0]+t,a=n[1]+r;R.call(u.setTranslate,i,a),S(\"x\",v(y,t,\"x\",T,e)),S(\"y\",v(x,r,\"y\",T,e)),e.axref===e.xref&&S(\"ax\",v(y,t,\"ax\",T,e)),e.ayref===e.yref&&S(\"ay\",v(x,r,\"ay\",T,e)),G.attr(\"transform\",s(t,r)),z.attr({transform:\"rotate(\"+I+\",\"+i+\",\"+a+\")\"})},doneFn:function(){i.call(\"_guiRelayout\",t,E());var e=document.querySelector(\".js-notes-box-panel\");e&&e.redraw(e.selectedObj)}})}}};e.showarrow&&At(0,0),O&&d.init({element:R.node(),gd:t,prepFn:function(){kt=z.attr(\"transform\")},moveFn:function(t,r){var n=\"pointer\";if(e.showarrow)e.axref===e.xref?S(\"ax\",v(y,t,\"ax\",T,e)):S(\"ax\",e.ax+t),e.ayref===e.yref?S(\"ay\",v(x,r,\"ay\",T.w,e)):S(\"ay\",e.ay+r),At(t,r);else{if(a)return;var i,o;if(y)i=v(y,t,\"x\",T,e);else{var l=e._xsize/T.w,c=e.x+(e._xshift-e.xshift)/T.w-l/2;i=d.align(c+t/T.w,l,0,1,e.xanchor)}if(x)o=v(x,r,\"y\",T,e);else{var u=e._ysize/T.h,h=e.y-(e._yshift+e.yshift)/T.h-u/2;o=d.align(h-r/T.h,u,0,1,e.yanchor)}S(\"x\",i),S(\"y\",o),y&&x||(n=d.getCursor(y?.5:i,x?.5:o,e.xanchor,e.yanchor))}z.attr({transform:s(t,r)+kt}),p(R,n)},clickFn:function(r,n){e.captureevents&&t.emit(\"plotly_clickannotation\",Z(n))},doneFn:function(){p(R),i.call(\"_guiRelayout\",t,E());var e=document.querySelector(\".js-notes-box-panel\");e&&e.redraw(e.selectedObj)}})}}}t.exports={draw:function(t){var e=t._fullLayout;e._infolayer.selectAll(\".annotation\").remove();for(var r=0;r<e.annotations.length;r++)e.annotations[r].visible&&y(t,r);return a.previousPromises(t)},drawOne:y,drawRaw:x}},23768:function(t,e,r){\"use strict\";var n=r(45568),i=r(78766),a=r(11645),o=r(34809),s=o.strScale,l=o.strRotate,c=o.strTranslate;t.exports=function(t,e,r){var o,u,h,f,p=t.node(),d=a[r.arrowhead||0],m=a[r.startarrowhead||0],g=(r.arrowwidth||1)*(r.arrowsize||1),y=(r.arrowwidth||1)*(r.startarrowsize||1),v=e.indexOf(\"start\")>=0,x=e.indexOf(\"end\")>=0,_=d.backoff*g+r.standoff,b=m.backoff*y+r.startstandoff;if(\"line\"===p.nodeName){o={x:+t.attr(\"x1\"),y:+t.attr(\"y1\")},u={x:+t.attr(\"x2\"),y:+t.attr(\"y2\")};var w=o.x-u.x,T=o.y-u.y;if(f=(h=Math.atan2(T,w))+Math.PI,_&&b&&_+b>Math.sqrt(w*w+T*T))return void O();if(_){if(_*_>w*w+T*T)return void O();var k=_*Math.cos(h),A=_*Math.sin(h);u.x+=k,u.y+=A,t.attr({x2:u.x,y2:u.y})}if(b){if(b*b>w*w+T*T)return void O();var M=b*Math.cos(h),S=b*Math.sin(h);o.x-=M,o.y-=S,t.attr({x1:o.x,y1:o.y})}}else if(\"path\"===p.nodeName){var E=p.getTotalLength(),C=\"\";if(E<_+b)return void O();var L=p.getPointAtLength(0),I=p.getPointAtLength(.1);h=Math.atan2(L.y-I.y,L.x-I.x),o=p.getPointAtLength(Math.min(b,E)),C=\"0px,\"+b+\"px,\";var P=p.getPointAtLength(E),z=p.getPointAtLength(E-.1);f=Math.atan2(P.y-z.y,P.x-z.x),u=p.getPointAtLength(Math.max(0,E-_)),C+=E-(C?b+_:_)+\"px,\"+E+\"px\",t.style(\"stroke-dasharray\",C)}function O(){t.style(\"stroke-dasharray\",\"0px,100px\")}function D(e,a,o,u){e.path&&(e.noRotate&&(o=0),n.select(p.parentNode).append(\"path\").attr({class:t.attr(\"class\"),d:e.path,transform:c(a.x,a.y)+l(180*o/Math.PI)+s(u)}).style({fill:i.rgb(r.arrowcolor),\"stroke-width\":0}))}v&&D(m,o,h,y),x&&D(d,u,f,g)}},3599:function(t,e,r){\"use strict\";var n=r(3377),i=r(6035);t.exports={moduleType:\"component\",name:\"annotations\",layoutAttributes:r(50222),supplyLayoutDefaults:r(63737),includeBasePlot:r(20706)(\"annotations\"),calcAutorange:r(60317),draw:n.draw,drawOne:n.drawOne,drawRaw:n.drawRaw,hasClickToShow:i.hasClickToShow,onClick:i.onClick,convertCoords:r(59741)}},38239:function(t,e,r){\"use strict\";var n=r(50222),i=r(13582).overrideAll,a=r(78032).templatedArray;t.exports=i(a(\"annotation\",{visible:n.visible,x:{valType:\"any\"},y:{valType:\"any\"},z:{valType:\"any\"},ax:{valType:\"number\"},ay:{valType:\"number\"},xanchor:n.xanchor,xshift:n.xshift,yanchor:n.yanchor,yshift:n.yshift,text:n.text,textangle:n.textangle,font:n.font,width:n.width,height:n.height,opacity:n.opacity,align:n.align,valign:n.valign,bgcolor:n.bgcolor,bordercolor:n.bordercolor,borderpad:n.borderpad,borderwidth:n.borderwidth,showarrow:n.showarrow,arrowcolor:n.arrowcolor,arrowhead:n.arrowhead,startarrowhead:n.startarrowhead,arrowside:n.arrowside,arrowsize:n.arrowsize,startarrowsize:n.startarrowsize,arrowwidth:n.arrowwidth,standoff:n.standoff,startstandoff:n.startstandoff,hovertext:n.hovertext,hoverlabel:n.hoverlabel,captureevents:n.captureevents}),\"calc\",\"from-root\")},47979:function(t,e,r){\"use strict\";var n=r(34809),i=r(29714);function a(t,e){var r=e.fullSceneLayout.domain,a=e.fullLayout._size,o={pdata:null,type:\"linear\",autorange:!1,range:[-1/0,1/0]};t._xa={},n.extendFlat(t._xa,o),i.setConvert(t._xa),t._xa._offset=a.l+r.x[0]*a.w,t._xa.l2p=function(){return.5*(1+t._pdata[0]/t._pdata[3])*a.w*(r.x[1]-r.x[0])},t._ya={},n.extendFlat(t._ya,o),i.setConvert(t._ya),t._ya._offset=a.t+(1-r.y[1])*a.h,t._ya.l2p=function(){return.5*(1-t._pdata[1]/t._pdata[3])*a.h*(r.y[1]-r.y[0])}}t.exports=function(t){for(var e=t.fullSceneLayout.annotations,r=0;r<e.length;r++)a(e[r],t);t.fullLayout._infolayer.selectAll(\".annotation-\"+t.id).remove()}},34232:function(t,e,r){\"use strict\";var n=r(34809),i=r(29714),a=r(59008),o=r(53271),s=r(38239);function l(t,e,r,a){function l(r,i){return n.coerce(t,e,s,r,i)}function c(t){var n=t+\"axis\",a={_fullLayout:{}};return 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0!==t.zLabelVal&&(a.z=t.zLabelVal)),e.appendArrayPointValue(a,r,i),a},e.appendArrayPointValue=function(t,e,r){var i=e._arrayAttrs;if(i)for(var s=0;s<i.length;s++){var l=i[s],c=a(l);if(void 0===t[c]){var u=o(n.nestedProperty(e,l).get(),r);void 0!==u&&(t[c]=u)}}},e.appendArrayMultiPointValues=function(t,e,r){var i=e._arrayAttrs;if(i)for(var s=0;s<i.length;s++){var l=i[s],c=a(l);if(void 0===t[c]){for(var u=n.nestedProperty(e,l).get(),h=new Array(r.length),f=0;f<r.length;f++)h[f]=o(u,r[f]);t[c]=h}}};var i={ids:\"id\",locations:\"location\",labels:\"label\",values:\"value\",\"marker.colors\":\"color\",parents:\"parent\"};function a(t){return i[t]||t}function o(t,e){return Array.isArray(e)?Array.isArray(t)&&Array.isArray(t[e[0]])?t[e[0]][e[1]]:void 0:t[e]}var s={x:!0,y:!0},l={\"x unified\":!0,\"y unified\":!0};e.isUnifiedHover=function(t){return\"string\"==typeof t&&!!l[t]},e.isXYhover=function(t){return\"string\"==typeof t&&!!s[t]}},38103:function(t,e,r){\"use strict\";var n=r(45568),i=r(10721),a=r(65657),o=r(34809),s=o.pushUnique,l=o.strTranslate,c=o.strRotate,u=r(68596),h=r(30635),f=r(93134),p=r(62203),d=r(78766),m=r(14751),g=r(29714),y=r(54826).zindexSeparator,v=r(33626),x=r(36040),_=r(85988),b=r(73970),w=r(6134),T=_.YANGLE,k=Math.PI*T/180,A=1/Math.sin(k),M=Math.cos(k),S=Math.sin(k),E=_.HOVERARROWSIZE,C=_.HOVERTEXTPAD,L={box:!0,ohlc:!0,violin:!0,candlestick:!0},I={scatter:!0,scattergl:!0,splom:!0};function P(t,e){return t.distance-e.distance}function z(t){return[t.trace.index,t.index,t.x0,t.y0,t.name,t.attr,t.xa?t.xa._id:\"\",t.ya?t.ya._id:\"\"].join(\",\")}e.hover=function(t,e,r,a){t=o.getGraphDiv(t);var l=e.target;o.throttle(t._fullLayout._uid+_.HOVERID,_.HOVERMINTIME,(function(){!function(t,e,r,a,l){r||(r=\"xy\"),\"string\"==typeof r&&(r=r.split(y)[0]);var c,h,p,_=Array.isArray(r)?r:[r],b=t._fullLayout,w=b.hoversubplots,T=b._plots||[],k=T[r],M=b._has(\"cartesian\"),S=e.hovermode||b.hovermode,C=\"x\"===(S||\"\").charAt(0),O=\"y\"===(S||\"\").charAt(0);if(M&&(C||O)&&\"axis\"===w)for(var R=_.length,V=0;V<R;V++)if(T[c=_[V]]){h=g.getFromId(t,c,\"x\"),p=g.getFromId(t,c,\"y\");var Z=(C?h:p)._subplotsWith;if(Z&&Z.length)for(var W=0;W<Z.length;W++)s(_,Z[W])}if(k&&\"single\"!==w){var Y=k.overlays.map((function(t){return t.id}));_=_.concat(Y)}for(var X=_.length,$=new Array(X),J=new Array(X),K=!1,Q=0;Q<X;Q++)if(T[c=_[Q]])K=!0,$[Q]=T[c].xaxis,J[Q]=T[c].yaxis;else{if(!b[c]||!b[c]._subplot)return void o.warn(\"Unrecognized subplot: \"+c);var tt=b[c]._subplot;$[Q]=tt.xaxis,J[Q]=tt.yaxis}if(S&&!K&&(S=\"closest\"),-1===[\"x\",\"y\",\"closest\",\"x unified\",\"y unified\"].indexOf(S)||!t.calcdata||t.querySelector(\".zoombox\")||t._dragging)return m.unhoverRaw(t,e);var et=b.hoverdistance;-1===et&&(et=1/0);var rt=b.spikedistance;-1===rt&&(rt=1/0);var nt,it,at,ot,st,lt,ct,ut,ht,ft,pt,dt,mt,gt=[],yt=[],vt={hLinePoint:null,vLinePoint:null},xt=!1;if(Array.isArray(e))for(S=\"array\",at=0;at<e.length;at++)(st=t.calcdata[e[at].curveNumber||0])&&(lt=st[0].trace,\"skip\"!==st[0].trace.hoverinfo&&(yt.push(st),\"h\"===lt.orientation&&(xt=!0)));else{var _t,bt,wt=t.calcdata.slice();for(wt.sort((function(t,e){return(t[0].trace.zorder||0)-(e[0].trace.zorder||0)})),ot=0;ot<wt.length;ot++)st=wt[ot],\"skip\"!==(lt=st[0].trace).hoverinfo&&x.isTraceInSubplots(lt,_)&&(yt.push(st),\"h\"===lt.orientation&&(xt=!0));if(l){if(!1===u.triggerHandler(t,\"plotly_beforehover\",e))return;var Tt=l.getBoundingClientRect();_t=e.clientX-Tt.left,bt=e.clientY-Tt.top,b._calcInverseTransform(t);var kt=o.apply3DTransform(b._invTransform)(_t,bt);if(_t=kt[0],bt=kt[1],_t<0||_t>$[0]._length||bt<0||bt>J[0]._length)return m.unhoverRaw(t,e)}else _t=\"xpx\"in e?e.xpx:$[0]._length/2,bt=\"ypx\"in e?e.ypx:J[0]._length/2;if(e.pointerX=_t+$[0]._offset,e.pointerY=bt+J[0]._offset,nt=\"xval\"in e?x.flat(_,e.xval):x.p2c($,_t),it=\"yval\"in e?x.flat(_,e.yval):x.p2c(J,bt),!i(nt[0])||!i(it[0]))return o.warn(\"Fx.hover failed\",e,t),m.unhoverRaw(t,e)}var At=1/0;function Mt(r,n){for(ot=0;ot<yt.length;ot++)if((st=yt[ot])&&st[0]&&st[0].trace&&!0===(lt=st[0].trace).visible&&0!==lt._length&&-1===[\"carpet\",\"contourcarpet\"].indexOf(lt._module.name)){if(ht=S,x.isUnifiedHover(ht)&&(ht=ht.charAt(0)),\"splom\"===lt.type?ct=_[ut=0]:(ct=x.getSubplot(lt),ut=_.indexOf(ct)),dt={cd:st,trace:lt,xa:$[ut],ya:J[ut],maxHoverDistance:et,maxSpikeDistance:rt,index:!1,distance:Math.min(At,et),spikeDistance:1/0,xSpike:void 0,ySpike:void 0,color:d.defaultLine,name:lt.name,x0:void 0,x1:void 0,y0:void 0,y1:void 0,xLabelVal:void 0,yLabelVal:void 0,zLabelVal:void 0,text:void 0},b[ct]&&(dt.subplot=b[ct]._subplot),b._splomScenes&&b._splomScenes[lt.uid]&&(dt.scene=b._splomScenes[lt.uid]),\"array\"===ht){var a=e[ot];\"pointNumber\"in a?(dt.index=a.pointNumber,ht=\"closest\"):(ht=\"\",\"xval\"in a&&(ft=a.xval,ht=\"x\"),\"yval\"in a&&(pt=a.yval,ht=ht?\"closest\":\"y\"))}else void 0!==r&&void 0!==n?(ft=r,pt=n):(ft=nt[ut],pt=it[ut]);if(mt=gt.length,0!==et)if(lt._module&&lt._module.hoverPoints){var s=lt._module.hoverPoints(dt,ft,pt,ht,{finiteRange:!0,hoverLayer:b._hoverlayer,hoversubplots:w,gd:t});if(s)for(var l,c=0;c<s.length;c++)l=s[c],i(l.x0)&&i(l.y0)&&gt.push(N(l,S))}else o.log(\"Unrecognized trace type in hover:\",lt);if(\"closest\"===S&&gt.length>mt&&(gt.splice(0,mt),At=gt[0].distance),M&&0!==rt&&0===gt.length){dt.distance=rt,dt.index=!1;var u=lt._module.hoverPoints(dt,ft,pt,\"closest\",{hoverLayer:b._hoverlayer});if(u&&(u=u.filter((function(t){return t.spikeDistance<=rt}))),u&&u.length){var h,f=u.filter((function(t){return t.xa.showspikes&&\"hovered data\"!==t.xa.spikesnap}));if(f.length){var p=f[0];i(p.x0)&&i(p.y0)&&(h=Et(p),(!vt.vLinePoint||vt.vLinePoint.spikeDistance>h.spikeDistance)&&(vt.vLinePoint=h))}var m=u.filter((function(t){return t.ya.showspikes&&\"hovered data\"!==t.ya.spikesnap}));if(m.length){var g=m[0];i(g.x0)&&i(g.y0)&&(h=Et(g),(!vt.hLinePoint||vt.hLinePoint.spikeDistance>h.spikeDistance)&&(vt.hLinePoint=h))}}}}}function St(t,e,r){for(var n,i=null,a=1/0,o=0;o<t.length;o++)h&&h._id!==t[o].xa._id||p&&p._id!==t[o].ya._id||(n=t[o].spikeDistance,r&&0===o&&(n=-1/0),n<=a&&n<=e&&(i=t[o],a=n));return i}function Et(t){return t?{xa:t.xa,ya:t.ya,x:void 0!==t.xSpike?t.xSpike:(t.x0+t.x1)/2,y:void 0!==t.ySpike?t.ySpike:(t.y0+t.y1)/2,distance:t.distance,spikeDistance:t.spikeDistance,curveNumber:t.trace.index,color:t.color,pointNumber:t.index}:null}Mt();var Ct={fullLayout:b,container:b._hoverlayer,event:e},Lt=t._spikepoints,It={vLinePoint:vt.vLinePoint,hLinePoint:vt.hLinePoint};t._spikepoints=It;var Pt=function(){var t=gt.filter((function(t){return h&&h._id===t.xa._id&&p&&p._id===t.ya._id})),e=gt.filter((function(t){return!(h&&h._id===t.xa._id&&p&&p._id===t.ya._id)}));t.sort(P),e.sort(P),gt=function(t,e){for(var r=e.charAt(0),n=[],i=[],a=[],o=0;o<t.length;o++){var s=t[o];v.traceIs(s.trace,\"bar-like\")||v.traceIs(s.trace,\"box-violin\")?a.push(s):s.trace[r+\"period\"]?i.push(s):n.push(s)}return n.concat(i).concat(a)}(gt=t.concat(e),S)};Pt();var zt=S.charAt(0),Ot=(\"x\"===zt||\"y\"===zt)&&gt[0]&&I[gt[0].trace.type];if(M&&0!==rt&&0!==gt.length){var Dt=St(gt.filter((function(t){return t.ya.showspikes})),rt,Ot);vt.hLinePoint=Et(Dt);var Rt=St(gt.filter((function(t){return t.xa.showspikes})),rt,Ot);vt.vLinePoint=Et(Rt)}if(0===gt.length){var Ft=m.unhoverRaw(t,e);return!M||null===vt.hLinePoint&&null===vt.vLinePoint||U(Lt)&&j(t,vt,Ct),Ft}if(M&&U(Lt)&&j(t,vt,Ct),x.isXYhover(ht)&&0!==gt[0].length&&\"splom\"!==gt[0].trace.type){var Bt=gt[0],Nt=(gt=L[Bt.trace.type]?gt.filter((function(t){return t.trace.index===Bt.trace.index})):[Bt]).length;Mt(q(\"x\",Bt,b),q(\"y\",Bt,b));var jt,Ut=[],Vt={},qt=0,Ht=function(t){var e=L[t.trace.type]?z(t):t.trace.index;if(Vt[e]){var r=Vt[e]-1,n=Ut[r];r>0&&Math.abs(t.distance)<Math.abs(n.distance)&&(Ut[r]=t)}else qt++,Vt[e]=qt,Ut.push(t)};for(jt=0;jt<Nt;jt++)Ht(gt[jt]);for(jt=gt.length-1;jt>Nt-1;jt--)Ht(gt[jt]);gt=Ut,Pt()}var Gt=t._hoverdata,Zt=[],Wt=H(t),Yt=G(t);for(at=0;at<gt.length;at++){var Xt=gt[at],$t=x.makeEventData(Xt,Xt.trace,Xt.cd);if(!1!==Xt.hovertemplate){var Jt=!1;Xt.cd[Xt.index]&&Xt.cd[Xt.index].ht&&(Jt=Xt.cd[Xt.index].ht),Xt.hovertemplate=Jt||Xt.trace.hovertemplate||!1}if(Xt.xa&&Xt.ya){var Kt=Xt.x0+Xt.xa._offset,Qt=Xt.x1+Xt.xa._offset,te=Xt.y0+Xt.ya._offset,ee=Xt.y1+Xt.ya._offset,re=Math.min(Kt,Qt),ne=Math.max(Kt,Qt),ie=Math.min(te,ee),ae=Math.max(te,ee);$t.bbox={x0:re+Yt,x1:ne+Yt,y0:ie+Wt,y1:ae+Wt}}Xt.eventData=[$t],Zt.push($t)}t._hoverdata=Zt;var oe=\"y\"===S&&(yt.length>1||gt.length>1)||\"closest\"===S&&xt&&gt.length>1,se=d.combine(b.plot_bgcolor||d.background,b.paper_bgcolor),le=D(gt,{gd:t,hovermode:S,rotateLabels:oe,bgColor:se,container:b._hoverlayer,outerContainer:b._paper.node(),commonLabelOpts:b.hoverlabel,hoverdistance:b.hoverdistance}),ce=le.hoverLabels;if(x.isUnifiedHover(S)||(function(t,e,r,n){var i,a,o,s,l,c,u,h=e?\"xa\":\"ya\",f=e?\"ya\":\"xa\",p=0,d=1,m=t.size(),g=new Array(m),y=0,v=n.minX,x=n.maxX,_=n.minY,b=n.maxY,w=function(t){return t*r._invScaleX},T=function(t){return t*r._invScaleY};function k(t){var e=t[0],r=t[t.length-1];if(a=e.pmin-e.pos-e.dp+e.size,o=r.pos+r.dp+r.size-e.pmax,a>.01){for(l=t.length-1;l>=0;l--)t[l].dp+=a;i=!1}if(!(o<.01)){if(a<-.01){for(l=t.length-1;l>=0;l--)t[l].dp-=o;i=!1}if(i){var n=0;for(s=0;s<t.length;s++)(c=t[s]).pos+c.dp+c.size>e.pmax&&n++;for(s=t.length-1;s>=0&&!(n<=0);s--)(c=t[s]).pos>e.pmax-1&&(c.del=!0,n--);for(s=0;s<t.length&&!(n<=0);s++)if((c=t[s]).pos<e.pmin+1)for(c.del=!0,n--,o=2*c.size,l=t.length-1;l>=0;l--)t[l].dp-=o;for(s=t.length-1;s>=0&&!(n<=0);s--)(c=t[s]).pos+c.dp+c.size>e.pmax&&(c.del=!0,n--)}}}for(t.each((function(t){var n=t[h],i=t[f],a=\"x\"===n._id.charAt(0),o=n.range;0===y&&o&&o[0]>o[1]!==a&&(d=-1);var s=0,l=a?r.width:r.height;if(\"x\"===r.hovermode||\"y\"===r.hovermode){var c,u,p=F(t,e),m=t.anchor,k=\"end\"===m?-1:1;if(\"middle\"===m)u=(c=t.crossPos+(a?T(p.y-t.by/2):w(t.bx/2+t.tx2width/2)))+(a?T(t.by):w(t.bx));else if(a)u=(c=t.crossPos+T(E+p.y)-T(t.by/2-E))+T(t.by);else{var M=w(k*E+p.x),S=M+w(k*t.bx);c=t.crossPos+Math.min(M,S),u=t.crossPos+Math.max(M,S)}a?void 0!==_&&void 0!==b&&Math.min(u,b)-Math.max(c,_)>1&&(\"left\"===i.side?(s=i._mainLinePosition,l=r.width):l=i._mainLinePosition):void 0!==v&&void 0!==x&&Math.min(u,x)-Math.max(c,v)>1&&(\"top\"===i.side?(s=i._mainLinePosition,l=r.height):l=i._mainLinePosition)}g[y++]=[{datum:t,traceIndex:t.trace.index,dp:0,pos:t.pos,posref:t.posref,size:t.by*(a?A:1)/2,pmin:s,pmax:l}]})),g.sort((function(t,e){return t[0].posref-e[0].posref||d*(e[0].traceIndex-t[0].traceIndex)}));!i&&p<=m;){for(p++,i=!0,s=0;s<g.length-1;){var M=g[s],S=g[s+1],C=M[M.length-1],L=S[0];if((a=C.pos+C.dp+C.size-L.pos-L.dp+L.size)>.01){for(l=S.length-1;l>=0;l--)S[l].dp+=a;for(M.push.apply(M,S),g.splice(s+1,1),u=0,l=M.length-1;l>=0;l--)u+=M[l].dp;for(o=u/M.length,l=M.length-1;l>=0;l--)M[l].dp-=o;i=!1}else s++}g.forEach(k)}for(s=g.length-1;s>=0;s--){var I=g[s];for(l=I.length-1;l>=0;l--){var P=I[l],z=P.datum;z.offset=P.dp,z.del=P.del}}}(ce,oe,b,le.commonLabelBoundingBox),B(ce,oe,b._invScaleX,b._invScaleY)),l&&l.tagName){var ue=v.getComponentMethod(\"annotations\",\"hasClickToShow\")(t,Zt);f(n.select(l),ue?\"pointer\":\"\")}l&&!a&&function(t,e,r){if(!r||r.length!==t._hoverdata.length)return!0;for(var n=r.length-1;n>=0;n--){var i=r[n],a=t._hoverdata[n];if(i.curveNumber!==a.curveNumber||String(i.pointNumber)!==String(a.pointNumber)||String(i.pointNumbers)!==String(a.pointNumbers))return!0}return!1}(t,0,Gt)&&(Gt&&t.emit(\"plotly_unhover\",{event:e,points:Gt}),t.emit(\"plotly_hover\",{event:e,points:t._hoverdata,xaxes:$,yaxes:J,xvals:nt,yvals:it}))}(t,e,r,a,l)}))},e.loneHover=function(t,e){var r=!0;Array.isArray(t)||(r=!1,t=[t]);var i=e.gd,a=H(i),o=G(i),s=D(t.map((function(t){var r=t._x0||t.x0||t.x||0,n=t._x1||t.x1||t.x||0,s=t._y0||t.y0||t.y||0,l=t._y1||t.y1||t.y||0,c=t.eventData;if(c){var u=Math.min(r,n),h=Math.max(r,n),f=Math.min(s,l),p=Math.max(s,l),m=t.trace;if(v.traceIs(m,\"gl3d\")){var g=i._fullLayout[m.scene]._scene.container,y=g.offsetLeft,x=g.offsetTop;u+=y,h+=y,f+=x,p+=x}c.bbox={x0:u+o,x1:h+o,y0:f+a,y1:p+a},e.inOut_bbox&&e.inOut_bbox.push(c.bbox)}else c=!1;return{color:t.color||d.defaultLine,x0:t.x0||t.x||0,x1:t.x1||t.x||0,y0:t.y0||t.y||0,y1:t.y1||t.y||0,xLabel:t.xLabel,yLabel:t.yLabel,zLabel:t.zLabel,text:t.text,name:t.name,idealAlign:t.idealAlign,borderColor:t.borderColor,fontFamily:t.fontFamily,fontSize:t.fontSize,fontColor:t.fontColor,fontWeight:t.fontWeight,fontStyle:t.fontStyle,fontVariant:t.fontVariant,nameLength:t.nameLength,textAlign:t.textAlign,trace:t.trace||{index:0,hoverinfo:\"\"},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:t.hovertemplate||!1,hovertemplateLabels:t.hovertemplateLabels||!1,eventData:c}})),{gd:i,hovermode:\"closest\",rotateLabels:!1,bgColor:e.bgColor||d.background,container:n.select(e.container),outerContainer:e.outerContainer||e.container}).hoverLabels,l=0,c=0;return s.sort((function(t,e){return t.y0-e.y0})).each((function(t,r){var n=t.y0-t.by/2;t.offset=n-5<l?l-n+5:0,l=n+t.by+t.offset,r===e.anchorIndex&&(c=t.offset)})).each((function(t){t.offset-=c})),B(s,!1,i._fullLayout._invScaleX,i._fullLayout._invScaleY),r?s:s.node()};var O=/<extra>([\\s\\S]*)<\\/extra>/;function D(t,e){var r=e.gd,i=r._fullLayout,a=e.hovermode,s=e.rotateLabels,u=e.bgColor,f=e.container,m=e.outerContainer,g=e.commonLabelOpts||{};if(0===t.length)return[[]];var y=e.fontFamily||_.HOVERFONT,k=e.fontSize||_.HOVERFONTSIZE,A=e.fontWeight||i.font.weight,M=e.fontStyle||i.font.style,S=e.fontVariant||i.font.variant,L=e.fontTextcase||i.font.textcase,I=e.fontLineposition||i.font.lineposition,P=e.fontShadow||i.font.shadow,O=t[0],D=O.xa,F=O.ya,B=a.charAt(0),N=B+\"Label\",j=O[N];if(void 0===j&&\"multicategory\"===D.type)for(var U=0;U<t.length&&void 0===(j=t[U][N]);U++);var V=Z(r,m),q=V.top,H=V.width,G=V.height,W=void 0!==j&&O.distance<=e.hoverdistance&&(\"x\"===a||\"y\"===a);if(W){var 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U,V=b.height/2,H=q-b.top-V,G=\"clip\"+i._uid+\"commonlabel\"+F._id;if(x<b.width+2*C+E){U=\"M-\"+(E+C)+\"-\"+V+\"h-\"+(b.width-C)+\"V\"+V+\"h\"+(b.width-C)+\"Z\";var W=b.width-x+C;h.positionText(s,W,H),\"end\"===R&&s.selectAll(\"tspan\").each((function(){var t=n.select(this),e=p.tester.append(\"text\").text(t.text()).call(p.font,v),i=Z(r,e.node());Math.round(i.width)<Math.round(b.width)&&t.attr(\"x\",W-i.width),e.remove()}))}else h.positionText(s,B*(C+E),H),U=null;var Y=i._topclips.selectAll(\"#\"+G).data(U?[0]:[]);Y.enter().append(\"clipPath\").attr(\"id\",G).append(\"path\"),Y.exit().remove(),Y.select(\"path\").attr(\"d\",U),p.setClipUrl(s,U?G:null,r)}t.attr(\"transform\",l(x,_))})),x.isUnifiedHover(a)){f.selectAll(\"g.hovertext\").remove();var tt=t.filter((function(t){return\"none\"!==t.hoverinfo}));if(0===tt.length)return[];var et=i.hoverlabel,rt=et.font,nt={showlegend:!0,legend:{title:{text:j,font:rt},font:rt,bgcolor:et.bgcolor,bordercolor:et.bordercolor,borderwidth:1,tracegroupgap:7,traceorder:i.legend?i.legend.traceorder:void 0,orientation:\"v\"}},it={font:rt};b(nt,it,r._fullData);var at=it.legend;at.entries=[];for(var ot=0;ot<tt.length;ot++){var st=tt[ot];if(\"none\"!==st.hoverinfo){var lt=R(st,!0,a,i,j),ct=lt[0],ut=lt[1];st.name=ut,st.text=\"\"!==ut?ut+\" : \"+ct:ct;var ht=st.cd[st.index];ht&&(ht.mc&&(st.mc=ht.mc),ht.mcc&&(st.mc=ht.mcc),ht.mlc&&(st.mlc=ht.mlc),ht.mlcc&&(st.mlc=ht.mlcc),ht.mlw&&(st.mlw=ht.mlw),ht.mrc&&(st.mrc=ht.mrc),ht.dir&&(st.dir=ht.dir)),st._distinct=!0,at.entries.push([st])}}at.entries.sort((function(t,e){return t[0].trace.index-e[0].trace.index})),at.layer=f,at._inHover=!0,at._groupTitleFont=et.grouptitlefont,w(r,at);var ft,pt,dt,mt,gt=f.select(\"g.legend\"),yt=Z(r,gt.node()),vt=yt.width+2*C,xt=yt.height+2*C,_t=tt[0],bt=(_t.x0+_t.x1)/2,wt=(_t.y0+_t.y1)/2,Tt=!(v.traceIs(_t.trace,\"bar-like\")||v.traceIs(_t.trace,\"box-violin\"));\"y\"===B?Tt?(pt=wt-C,ft=wt+C):(pt=Math.min.apply(null,tt.map((function(t){return Math.min(t.y0,t.y1)}))),ft=Math.max.apply(null,tt.map((function(t){return Math.max(t.y0,t.y1)})))):pt=ft=o.mean(tt.map((function(t){return(t.y0+t.y1)/2})))-xt/2,\"x\"===B?Tt?(dt=bt+C,mt=bt-C):(dt=Math.max.apply(null,tt.map((function(t){return Math.max(t.x0,t.x1)}))),mt=Math.min.apply(null,tt.map((function(t){return Math.min(t.x0,t.x1)})))):dt=mt=o.mean(tt.map((function(t){return(t.x0+t.x1)/2})))-vt/2;var kt,At,Mt=D._offset,St=F._offset;return mt+=Mt-vt,pt+=St-xt,kt=(dt+=Mt)+vt<H&&dt>=0?dt:mt+vt<H&&mt>=0?mt:Mt+vt<H?Mt:dt-bt<bt-mt+vt?H-vt:0,kt+=C,At=(ft+=St)+xt<G&&ft>=0?ft:pt+xt<G&&pt>=0?pt:St+xt<G?St:ft-wt<wt-pt+xt?G-xt:0,At+=C,gt.attr(\"transform\",l(kt-1,At-1)),gt}var Et=f.selectAll(\"g.hovertext\").data(t,(function(t){return z(t)}));return Et.enter().append(\"g\").classed(\"hovertext\",!0).each((function(){var t=n.select(this);t.append(\"rect\").call(d.fill,d.addOpacity(u,.8)),t.append(\"text\").classed(\"name\",!0),t.append(\"path\").style(\"stroke-width\",\"1px\"),t.append(\"text\").classed(\"nums\",!0).call(p.font,{weight:A,style:M,variant:S,textcase:L,lineposition:I,shadow:P,family:y,size:k})})),Et.exit().remove(),Et.each((function(t){var e=n.select(this).attr(\"transform\",\"\"),o=t.color;Array.isArray(o)&&(o=o[t.eventData[0].pointNumber]);var f=t.bgcolor||o,m=d.combine(d.opacity(f)?f:d.defaultLine,u),g=d.combine(d.opacity(o)?o:d.defaultLine,u),v=t.borderColor||d.contrast(m),x=R(t,W,a,i,j,e),_=x[0],b=x[1],w=e.select(\"text.nums\").call(p.font,{family:t.fontFamily||y,size:t.fontSize||k,color:t.fontColor||v,weight:t.fontWeight||A,style:t.fontStyle||M,variant:t.fontVariant||S,textcase:t.fontTextcase||L,lineposition:t.fontLineposition||I,shadow:t.fontShadow||P}).text(_).attr(\"data-notex\",1).call(h.positionText,0,0).call(h.convertToTspans,r),z=e.select(\"text.name\"),O=0,D=0;if(b&&b!==_){z.call(p.font,{family:t.fontFamily||y,size:t.fontSize||k,color:g,weight:t.fontWeight||A,style:t.fontStyle||M,variant:t.fontVariant||S,textcase:t.fontTextcase||L,lineposition:t.fontLineposition||I,shadow:t.fontShadow||P}).text(b).attr(\"data-notex\",1).call(h.positionText,0,0).call(h.convertToTspans,r);var F=Z(r,z.node());O=F.width+2*C,D=F.height+2*C}else z.remove(),e.select(\"rect\").remove();e.select(\"path\").style({fill:m,stroke:v});var B=t.xa._offset+(t.x0+t.x1)/2,N=t.ya._offset+(t.y0+t.y1)/2,U=Math.abs(t.x1-t.x0),V=Math.abs(t.y1-t.y0),Y=Z(r,w.node()),X=Y.width/i._invScaleX,$=Y.height/i._invScaleY;t.ty0=(q-Y.top)/i._invScaleY,t.bx=X+2*C,t.by=Math.max($+2*C,D),t.anchor=\"start\",t.txwidth=X,t.tx2width=O,t.offset=0;var J,K,Q=(X+E+C+O)*i._invScaleX;if(s)t.pos=B,J=N+V/2+Q<=G,K=N-V/2-Q>=0,\"top\"!==t.idealAlign&&J||!K?J?(N+=V/2,t.anchor=\"start\"):t.anchor=\"middle\":(N-=V/2,t.anchor=\"end\"),t.crossPos=N;else{if(t.pos=N,J=B+U/2+Q<=H,K=B-U/2-Q>=0,\"left\"!==t.idealAlign&&J||!K)if(J)B+=U/2,t.anchor=\"start\";else{t.anchor=\"middle\";var tt=Q/2,et=B+tt-H,rt=B-tt;et>0&&(B-=et),rt<0&&(B+=-rt)}else B-=U/2,t.anchor=\"end\";t.crossPos=B}w.attr(\"text-anchor\",t.anchor),O&&z.attr(\"text-anchor\",t.anchor),e.attr(\"transform\",l(B,N)+(s?c(T):\"\"))})),{hoverLabels:Et,commonLabelBoundingBox:Q}}function R(t,e,r,n,i,a){var s=\"\",l=\"\";void 0!==t.nameOverride&&(t.name=t.nameOverride),t.name&&(t.trace._meta&&(t.name=o.templateString(t.name,t.trace._meta)),s=V(t.name,t.nameLength));var c=r.charAt(0),u=\"x\"===c?\"y\":\"x\";void 0!==t.zLabel?(void 0!==t.xLabel&&(l+=\"x: \"+t.xLabel+\"<br>\"),void 0!==t.yLabel&&(l+=\"y: \"+t.yLabel+\"<br>\"),\"choropleth\"!==t.trace.type&&\"choroplethmapbox\"!==t.trace.type&&\"choroplethmap\"!==t.trace.type&&(l+=(l?\"z: \":\"\")+t.zLabel)):e&&t[c+\"Label\"]===i?l=t[u+\"Label\"]||\"\":void 0===t.xLabel?void 0!==t.yLabel&&\"scattercarpet\"!==t.trace.type&&(l=t.yLabel):l=void 0===t.yLabel?t.xLabel:\"(\"+t.xLabel+\", \"+t.yLabel+\")\",!t.text&&0!==t.text||Array.isArray(t.text)||(l+=(l?\"<br>\":\"\")+t.text),void 0!==t.extraText&&(l+=(l?\"<br>\":\"\")+t.extraText),a&&\"\"===l&&!t.hovertemplate&&(\"\"===s&&a.remove(),l=s);var h=t.hovertemplate||!1;if(h){var f=t.hovertemplateLabels||t;t[c+\"Label\"]!==i&&(f[c+\"other\"]=f[c+\"Val\"],f[c+\"otherLabel\"]=f[c+\"Label\"]),l=(l=o.hovertemplateString(h,f,n._d3locale,t.eventData[0]||{},t.trace._meta)).replace(O,(function(e,r){return s=V(r,t.nameLength),\"\"}))}return[l,s]}function F(t,e){var r=0,n=t.offset;return e&&(n*=-S,r=t.offset*M),{x:r,y:n}}function B(t,e,r,i){var a=function(t){return t*r},o=function(t){return t*i};t.each((function(t){var r=n.select(this);if(t.del)return r.remove();var i,s,l,c,u=r.select(\"text.nums\"),f=t.anchor,d=\"end\"===f?-1:1,m=(c=(l=(s={start:1,end:-1,middle:0}[(i=t).anchor])*(E+C))+s*(i.txwidth+C),\"middle\"===i.anchor&&(l-=i.tx2width/2,c+=i.txwidth/2+C),{alignShift:s,textShiftX:l,text2ShiftX:c}),g=F(t,e),y=g.x,v=g.y,x=\"middle\"===f;r.select(\"path\").attr(\"d\",x?\"M-\"+a(t.bx/2+t.tx2width/2)+\",\"+o(v-t.by/2)+\"h\"+a(t.bx)+\"v\"+o(t.by)+\"h-\"+a(t.bx)+\"Z\":\"M0,0L\"+a(d*E+y)+\",\"+o(E+v)+\"v\"+o(t.by/2-E)+\"h\"+a(d*t.bx)+\"v-\"+o(t.by)+\"H\"+a(d*E+y)+\"V\"+o(v-E)+\"Z\");var _=y+m.textShiftX,b=v+t.ty0-t.by/2+C,w=t.textAlign||\"auto\";\"auto\"!==w&&(\"left\"===w&&\"start\"!==f?(u.attr(\"text-anchor\",\"start\"),_=x?-t.bx/2-t.tx2width/2+C:-t.bx-C):\"right\"===w&&\"end\"!==f&&(u.attr(\"text-anchor\",\"end\"),_=x?t.bx/2-t.tx2width/2-C:t.bx+C)),u.call(h.positionText,a(_),o(b)),t.tx2width&&(r.select(\"text.name\").call(h.positionText,a(m.text2ShiftX+m.alignShift*C+y),o(v+t.ty0-t.by/2+C)),r.select(\"rect\").call(p.setRect,a(m.text2ShiftX+(m.alignShift-1)*t.tx2width/2+y),o(v-t.by/2-1),a(t.tx2width),o(t.by+2)))}))}function N(t,e){var r=t.index,n=t.trace||{},a=t.cd[0],s=t.cd[r]||{};function l(t){return t||i(t)&&0===t}var c=Array.isArray(r)?function(t,e){var i=o.castOption(a,r,t);return l(i)?i:o.extractOption({},n,\"\",e)}:function(t,e){return o.extractOption(s,n,t,e)};function u(e,r,n){var i=c(r,n);l(i)&&(t[e]=i)}if(u(\"hoverinfo\",\"hi\",\"hoverinfo\"),u(\"bgcolor\",\"hbg\",\"hoverlabel.bgcolor\"),u(\"borderColor\",\"hbc\",\"hoverlabel.bordercolor\"),u(\"fontFamily\",\"htf\",\"hoverlabel.font.family\"),u(\"fontSize\",\"hts\",\"hoverlabel.font.size\"),u(\"fontColor\",\"htc\",\"hoverlabel.font.color\"),u(\"fontWeight\",\"htw\",\"hoverlabel.font.weight\"),u(\"fontStyle\",\"hty\",\"hoverlabel.font.style\"),u(\"fontVariant\",\"htv\",\"hoverlabel.font.variant\"),u(\"nameLength\",\"hnl\",\"hoverlabel.namelength\"),u(\"textAlign\",\"hta\",\"hoverlabel.align\"),t.posref=\"y\"===e||\"closest\"===e&&\"h\"===n.orientation?t.xa._offset+(t.x0+t.x1)/2:t.ya._offset+(t.y0+t.y1)/2,t.x0=o.constrain(t.x0,0,t.xa._length),t.x1=o.constrain(t.x1,0,t.xa._length),t.y0=o.constrain(t.y0,0,t.ya._length),t.y1=o.constrain(t.y1,0,t.ya._length),void 0!==t.xLabelVal&&(t.xLabel=\"xLabel\"in t?t.xLabel:g.hoverLabelText(t.xa,t.xLabelVal,n.xhoverformat),t.xVal=t.xa.c2d(t.xLabelVal)),void 0!==t.yLabelVal&&(t.yLabel=\"yLabel\"in t?t.yLabel:g.hoverLabelText(t.ya,t.yLabelVal,n.yhoverformat),t.yVal=t.ya.c2d(t.yLabelVal)),void 0!==t.zLabelVal&&void 0===t.zLabel&&(t.zLabel=String(t.zLabelVal)),!(isNaN(t.xerr)||\"log\"===t.xa.type&&t.xerr<=0)){var h=g.tickText(t.xa,t.xa.c2l(t.xerr),\"hover\").text;void 0!==t.xerrneg?t.xLabel+=\" +\"+h+\" / -\"+g.tickText(t.xa,t.xa.c2l(t.xerrneg),\"hover\").text:t.xLabel+=\" ± \"+h,\"x\"===e&&(t.distance+=1)}if(!(isNaN(t.yerr)||\"log\"===t.ya.type&&t.yerr<=0)){var f=g.tickText(t.ya,t.ya.c2l(t.yerr),\"hover\").text;void 0!==t.yerrneg?t.yLabel+=\" +\"+f+\" / -\"+g.tickText(t.ya,t.ya.c2l(t.yerrneg),\"hover\").text:t.yLabel+=\" ± \"+f,\"y\"===e&&(t.distance+=1)}var p=t.hoverinfo||t.trace.hoverinfo;return p&&\"all\"!==p&&(-1===(p=Array.isArray(p)?p:p.split(\"+\")).indexOf(\"x\")&&(t.xLabel=void 0),-1===p.indexOf(\"y\")&&(t.yLabel=void 0),-1===p.indexOf(\"z\")&&(t.zLabel=void 0),-1===p.indexOf(\"text\")&&(t.text=void 0),-1===p.indexOf(\"name\")&&(t.name=void 0)),t}function j(t,e,r){var n,i,o=r.container,s=r.fullLayout,l=s._size,c=r.event,u=!!e.hLinePoint,h=!!e.vLinePoint;if(o.selectAll(\".spikeline\").remove(),h||u){var f=d.combine(s.plot_bgcolor,s.paper_bgcolor);if(u){var m,y,v=e.hLinePoint;n=v&&v.xa,\"cursor\"===(i=v&&v.ya).spikesnap?(m=c.pointerX,y=c.pointerY):(m=n._offset+v.x,y=i._offset+v.y);var x,_,b=a.readability(v.color,f)<1.5?d.contrast(f):v.color,w=i.spikemode,T=i.spikethickness,k=i.spikecolor||b,A=g.getPxPosition(t,i);if(-1!==w.indexOf(\"toaxis\")||-1!==w.indexOf(\"across\")){if(-1!==w.indexOf(\"toaxis\")&&(x=A,_=m),-1!==w.indexOf(\"across\")){var 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n=r(80337),i=r(10229);t.exports={_isSubplotObj:!0,visible:{valType:\"boolean\",dflt:!0,editType:\"legend\"},bgcolor:{valType:\"color\",editType:\"legend\"},bordercolor:{valType:\"color\",dflt:i.defaultLine,editType:\"legend\"},borderwidth:{valType:\"number\",min:0,dflt:0,editType:\"legend\"},font:n({editType:\"legend\"}),grouptitlefont:n({editType:\"legend\"}),orientation:{valType:\"enumerated\",values:[\"v\",\"h\"],dflt:\"v\",editType:\"legend\"},traceorder:{valType:\"flaglist\",flags:[\"reversed\",\"grouped\"],extras:[\"normal\"],editType:\"legend\"},tracegroupgap:{valType:\"number\",min:0,dflt:10,editType:\"legend\"},entrywidth:{valType:\"number\",min:0,editType:\"legend\"},entrywidthmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"pixels\",editType:\"legend\"},indentation:{valType:\"number\",min:-15,dflt:0,editType:\"legend\"},itemsizing:{valType:\"enumerated\",values:[\"trace\",\"constant\"],dflt:\"trace\",editType:\"legend\"},itemwidth:{valType:\"number\",min:30,dflt:30,editType:\"legend\"},itemclick:{valType:\"enumerated\",values:[\"toggle\",\"toggleothers\",!1],dflt:\"toggle\",editType:\"legend\"},itemdoubleclick:{valType:\"enumerated\",values:[\"toggle\",\"toggleothers\",!1],dflt:\"toggleothers\",editType:\"legend\"},groupclick:{valType:\"enumerated\",values:[\"toggleitem\",\"togglegroup\"],dflt:\"togglegroup\",editType:\"legend\"},x:{valType:\"number\",editType:\"legend\"},xref:{valType:\"enumerated\",dflt:\"paper\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\",editType:\"legend\"},y:{valType:\"number\",editType:\"legend\"},yref:{valType:\"enumerated\",dflt:\"paper\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],editType:\"legend\"},uirevision:{valType:\"any\",editType:\"none\"},valign:{valType:\"enumerated\",values:[\"top\",\"middle\",\"bottom\"],dflt:\"middle\",editType:\"legend\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"legend\"},font:n({editType:\"legend\"}),side:{valType:\"enumerated\",values:[\"top\",\"left\",\"top left\",\"top center\",\"top right\"],editType:\"legend\"},editType:\"legend\"},editType:\"legend\"}},72783:function(t){\"use strict\";t.exports={scrollBarWidth:6,scrollBarMinHeight:20,scrollBarColor:\"#808BA4\",scrollBarMargin:4,scrollBarEnterAttrs:{rx:20,ry:3,width:0,height:0},titlePad:2,itemGap:5}},73970:function(t,e,r){\"use strict\";var n=r(33626),i=r(34809),a=r(78032),o=r(9829),s=r(86405),l=r(6704),c=r(57599);function u(t,e,r,u){var h=e[t]||{},f=a.newContainer(r,t);function p(t,e){return i.coerce(h,f,s,t,e)}var d=i.coerceFont(p,\"font\",r.font);if(p(\"bgcolor\",r.paper_bgcolor),p(\"bordercolor\"),p(\"visible\")){for(var m,g=function(t,e){var r=m._input,n=m;return i.coerce(r,n,o,t,e)},y=r.font||{},v=i.coerceFont(p,\"grouptitlefont\",y,{overrideDflt:{size:Math.round(1.1*y.size)}}),x=0,_=!1,b=\"normal\",w=(r.shapes||[]).filter((function(t){return t.showlegend})),T=u.concat(w).filter((function(e){return t===(e.legend||\"legend\")})),k=0;k<T.length;k++)if((m=T[k]).visible){var A=m._isShape;(m.showlegend||m._dfltShowLegend&&!(m._module&&m._module.attributes&&m._module.attributes.showlegend&&!1===m._module.attributes.showlegend.dflt))&&(x++,m.showlegend&&(_=!0,(!A&&n.traceIs(m,\"pie-like\")||!0===m._input.showlegend)&&x++),i.coerceFont(g,\"legendgrouptitle.font\",v)),(!A&&n.traceIs(m,\"bar\")&&\"stack\"===r.barmode||-1!==[\"tonextx\",\"tonexty\"].indexOf(m.fill))&&(b=c.isGrouped({traceorder:b})?\"grouped+reversed\":\"reversed\"),void 0!==m.legendgroup&&\"\"!==m.legendgroup&&(b=c.isReversed({traceorder:b})?\"reversed+grouped\":\"grouped\")}var M=i.coerce(e,r,l,\"showlegend\",_&&x>(\"legend\"===t?1:0));if(!1===M&&(r[t]=void 0),(!1!==M||h.uirevision)&&(p(\"uirevision\",r.uirevision),!1!==M)){p(\"borderwidth\");var S,E,C,L=\"h\"===p(\"orientation\"),I=\"paper\"===p(\"yref\"),P=\"paper\"===p(\"xref\"),z=\"left\";if(L?(S=0,n.getComponentMethod(\"rangeslider\",\"isVisible\")(e.xaxis)?I?(E=1.1,C=\"bottom\"):(E=1,C=\"top\"):I?(E=-.1,C=\"top\"):(E=0,C=\"bottom\")):(E=1,C=\"auto\",P?S=1.02:(S=1,z=\"right\")),i.coerce(h,f,{x:{valType:\"number\",editType:\"legend\",min:P?-2:0,max:P?3:1,dflt:S}},\"x\"),i.coerce(h,f,{y:{valType:\"number\",editType:\"legend\",min:I?-2:0,max:I?3:1,dflt:E}},\"y\"),p(\"traceorder\",b),c.isGrouped(r[t])&&p(\"tracegroupgap\"),p(\"entrywidth\"),p(\"entrywidthmode\"),p(\"indentation\"),p(\"itemsizing\"),p(\"itemwidth\"),p(\"itemclick\"),p(\"itemdoubleclick\"),p(\"groupclick\"),p(\"xanchor\",z),p(\"yanchor\",C),p(\"valign\"),i.noneOrAll(h,f,[\"x\",\"y\"]),p(\"title.text\")){p(\"title.side\",L?\"left\":\"top\");var O=i.extendFlat({},d,{size:i.bigFont(d.size)});i.coerceFont(p,\"title.font\",O)}}}}t.exports=function(t,e,r){var n,a=r.slice(),o=e.shapes;if(o)for(n=0;n<o.length;n++){var 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P=S,z=E;S=k?i.constrain(S,0,d.width-f._width):P,E=M?i.constrain(E,0,d.height-f._effHeight):z,S!==P&&i.log(\"Constrain \"+w+\".x to make legend fit inside graph\"),E!==z&&i.log(\"Constrain \"+w+\".y to make legend fit inside graph\")}c.setTranslate(N,S,E)}if(G.on(\".drag\",null),N.on(\"wheel\",null),T||f._height<=f._maxHeight||t._context.staticPlot){var O=f._effHeight;T&&(O=f._height),U.attr({width:f._width-b,height:O-b,x:b/2,y:b/2}),c.setTranslate(q,0,0),j.select(\"rect\").attr({width:f._width-2*b,height:O-2*b,x:b,y:b}),c.setClipUrl(q,r,t),c.setRect(G,0,0,0,0),delete f._scrollY}else{var 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n=s.selectAll(\"g.traces\").filter((function(){var t=this.getBoundingClientRect();return r.clientX>=t.left&&r.clientX<=t.right&&r.clientY>=t.top&&r.clientY<=t.bottom}));n.size()>0&&A(t,N,n,e,r)}}))}],t)}}function k(t,e,r){var n=t[0],i=n.width,a=e.entrywidthmode,o=n.trace.legendwidth||e.entrywidth;return\"fraction\"===a?e._maxWidth*o:r+(o||i)}function A(t,e,r,n,i){var a=r.data()[0][0].trace,l={event:i,node:r.node(),curveNumber:a.index,expandedIndex:a._expandedIndex,data:t.data,layout:t.layout,frames:t._transitionData._frames,config:t._context,fullData:t._fullData,fullLayout:t._fullLayout};a._group&&(l.group=a._group),o.traceIs(a,\"pie-like\")&&(l.label=r.datum()[0].label);var c=s.triggerHandler(t,\"plotly_legendclick\",l);if(1===n){if(!1===c)return;e._clickTimeout=setTimeout((function(){t._fullLayout&&f(r,t,n)}),t._context.doubleClickDelay)}else 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t._id||\"legend\"}t.exports=function(t,e){if(e)T(t,e);else{var r=t._fullLayout,i=r._legends;r._infolayer.selectAll('[class^=\"legend\"]').each((function(){var t=n.select(this),e=t.attr(\"class\").split(\" \")[0];e.match(w)&&-1===i.indexOf(e)&&t.remove()}));for(var a=0;a<i.length;a++){var o=i[a];T(t,t._fullLayout[o])}}}},851:function(t,e,r){\"use strict\";var n=r(33626),i=r(57599);t.exports=function(t,e,r){var a,o,s=e._inHover,l=i.isGrouped(e),c=i.isReversed(e),u={},h=[],f=!1,p={},d=0,m=0;function g(t,n,a){if(!1!==e.visible&&(!r||t===e._id))if(\"\"!==n&&i.isGrouped(e))-1===h.indexOf(n)?(h.push(n),f=!0,u[n]=[a]):u[n].push(a);else{var o=\"~~i\"+d;h.push(o),u[o]=[a],d++}}for(a=0;a<t.length;a++){var y=t[a],v=y[0],x=v.trace,_=x.legend,b=x.legendgroup;if(s||x.visible&&x.showlegend)if(n.traceIs(x,\"pie-like\"))for(p[b]||(p[b]={}),o=0;o<y.length;o++){var w=y[o].label;p[b][w]||(g(_,b,{label:w,color:y[o].color,i:y[o].i,trace:x,pts:y[o].pts}),p[b][w]=!0,m=Math.max(m,(w||\"\").length))}else 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t.showlegend})),y=m.concat(g),v=d.trace;v._isShape&&(v=v._fullInput);var x,_,b,w,T,k=v.legendgroup,A={},M=[],S=[],E=[],C=(s.shapes||[]).map((function(t){return t._input})),L=!1,I=v.legend,P=v._fullInput;if(P&&P._isShape||!n.traceIs(v,\"pie-like\")){var z,O=k&&k.length,D=[];if(O)for(x=0;x<y.length;x++)(z=y[x]).visible&&z.legendgroup===k&&D.push(x);if(\"toggle\"===l){var R;switch(v.visible){case!0:R=\"legendonly\";break;case!1:R=!1;break;case\"legendonly\":R=!0}if(O)if(f)for(x=0;x<y.length;x++){var F=y[x];!1!==F.visible&&F.legendgroup===k&&tt(F,R)}else tt(v,R);else tt(v,R)}else if(\"toggleothers\"===l){var 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l=r.coloring;\"lines\"===l?o=!0:n=\"none\"===l||\"heatmap\"===l||r.showlines,\"constraint\"===r.type?a=\"=\"!==r._operation:\"fill\"!==l&&\"heatmap\"!==l||(s=!0)}return{showMarker:i,showLine:n,showFill:a,showGradientLine:o,showGradientFill:s,anyLine:n||o,anyFill:a||s}}function g(t,e,r){return t&&a.isArrayOrTypedArray(t)?e:t>r?r:t}t.exports=function(t,e,r){var y=e._fullLayout;r||(r=y.legend);var v=\"constant\"===r.itemsizing,x=r.itemwidth,_=(x+2*p.itemGap)/2,b=o(_,0),w=function(t,e,r,n){var i;if(t+1)i=t;else{if(!(e&&e.width>0))return 0;i=e.width}return v?n:Math.min(i,r)};function T(t,a,o){var 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e=n.list({_fullLayout:t},null,!0),r=0;r<e.length;r++)if(!e[r].fixedrange)return!1;return!0}(e),E=o(e.hovermode),C=[];function L(t){if(t.length){for(var e=[],r=0;r<t.length;r++){for(var n=t[r],i=l[n],a=i.name.toLowerCase(),o=(i._cat||i.name).toLowerCase(),s=!1,c=0;c<d.length;c++){var u=d[c].toLowerCase();if(u===a||u===o){s=!0;break}}s||e.push(l[n])}C.push(e)}}var I=[\"toImage\"];s.showEditInChartStudio?I.push(\"editInChartStudio\"):s.showSendToCloud&&I.push(\"sendDataToCloud\"),L(I);var P=[],z=[],O=[],D=[];(m||_||v||x||b)+y+g+w+T+k+A>1?(z=[\"toggleHover\"],O=[\"resetViews\"]):y?(P=[\"zoomInGeo\",\"zoomOutGeo\"],z=[\"hoverClosestGeo\"],O=[\"resetGeo\"]):g?(z=[\"hoverClosest3d\"],O=[\"resetCameraDefault3d\",\"resetCameraLastSave3d\"]):w?(P=[\"zoomInMapbox\",\"zoomOutMapbox\"],z=[\"toggleHover\"],O=[\"resetViewMapbox\"]):T?(P=[\"zoomInMap\",\"zoomOutMap\"],z=[\"toggleHover\"],O=[\"resetViewMap\"]):_?z=[\"hoverClosestGl2d\"]:v?z=[\"hoverClosestPie\"]:M?(z=[\"hoverClosestCartesian\",\"hoverCompareCartesian\"],O=[\"resetViewSankey\"]):z=[\"toggleHover\"],m&&z.push(\"toggleSpikelines\",\"hoverClosestCartesian\",\"hoverCompareCartesian\"),(function(t){for(var e=0;e<t.length;e++)if(!a.traceIs(t[e],\"noHover\"))return!1;return!0}(r)||E)&&(z=[]),!m&&!_||S||(P=[\"zoomIn2d\",\"zoomOut2d\",\"autoScale2d\"],\"resetViews\"!==O[0]&&(O=[\"resetScale2d\"])),g?D=[\"zoom3d\",\"pan3d\",\"orbitRotation\",\"tableRotation\"]:(m||_)&&!S||b?D=[\"zoom2d\",\"pan2d\"]:w||T||y?D=[\"pan2d\"]:k&&(D=[\"zoom2d\"]),function(t){for(var e=!1,r=0;r<t.length&&!e;r++){var n=t[r];n._module&&n._module.selectPoints&&(a.traceIs(n,\"scatter-like\")?(i.hasMarkers(n)||i.hasText(n))&&(e=!0):a.traceIs(n,\"box-violin\")&&\"all\"!==n.boxpoints&&\"all\"!==n.points||(e=!0))}return e}(r)&&D.push(\"select2d\",\"lasso2d\");var R=[],F=function(t){-1===R.indexOf(t)&&-1!==z.indexOf(t)&&R.push(t)};if(Array.isArray(p)){for(var B=[],N=0;N<p.length;N++){var j=p[N];\"string\"==typeof j?(j=j.toLowerCase(),-1!==c.indexOf(j)?(e._has(\"mapbox\")||e._has(\"map\")||e._has(\"cartesian\"))&&D.push(j):\"togglespikelines\"===j?F(\"toggleSpikelines\"):\"togglehover\"===j?F(\"toggleHover\"):\"hovercompare\"===j?F(\"hoverCompareCartesian\"):\"hoverclosest\"===j?(F(\"hoverClosestCartesian\"),F(\"hoverClosestGeo\"),F(\"hoverClosest3d\"),F(\"hoverClosestGl2d\"),F(\"hoverClosestPie\")):\"v1hovermode\"===j&&(F(\"hoverClosestCartesian\"),F(\"hoverCompareCartesian\"),F(\"hoverClosestGeo\"),F(\"hoverClosest3d\"),F(\"hoverClosestGl2d\"),F(\"hoverClosestPie\"))):B.push(j)}p=B}return L(D),L(P.concat(O)),L(R),function(t,e){if(e.length)if(Array.isArray(e[0]))for(var r=0;r<e.length;r++)t.push(e[r]);else t.push(e);return t}(C,p)}(t),h?h.update(t,f):e._modeBar=s(t,f)}else h&&(h.destroy(),delete e._modeBar)}},85393:function(t,e,r){\"use strict\";var n=r(45568),i=r(10721),a=r(34809),o=r(35188),s=r(29697).version,l=new DOMParser;function 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\"+o.activecolor);var l=!this.hasButtons(e),c=this.hasLogo!==r.displaylogo,u=this.locale!==r.locale;if(this.locale=r.locale,(l||c||u)&&(this.removeAllButtons(),this.updateButtons(e),r.watermark||r.displaylogo)){var h=this.getLogo();r.watermark&&(h.className=h.className+\" watermark\"),\"v\"===n.modebar.orientation?this.element.insertBefore(h,this.element.childNodes[0]):this.element.appendChild(h),this.hasLogo=!0}this.updateActiveButton()},u.updateButtons=function(t){var e=this;this.buttons=t,this.buttonElements=[],this.buttonsNames=[],this.buttons.forEach((function(t){var r=e.createGroup();t.forEach((function(t){var n=t.name;if(!n)throw new Error(\"must provide button 'name' in button config\");if(-1!==e.buttonsNames.indexOf(n))throw new Error(\"button name '\"+n+\"' is taken\");e.buttonsNames.push(n);var i=e.createButton(t);e.buttonElements.push(i),r.appendChild(i)})),e.element.appendChild(r)}))},u.createGroup=function(){var t=document.createElement(\"div\");return t.className=\"modebar-group\",t},u.createButton=function(t){var e=this,r=document.createElement(\"a\");r.setAttribute(\"rel\",\"tooltip\"),r.className=\"modebar-btn\";var i=t.title;void 0===i?i=t.name:\"function\"==typeof i&&(i=i(this.graphInfo)),(i||0===i)&&r.setAttribute(\"data-title\",i),void 0!==t.attr&&r.setAttribute(\"data-attr\",t.attr);var a=t.val;if(void 0!==a&&(\"function\"==typeof a&&(a=a(this.graphInfo)),r.setAttribute(\"data-val\",a)),\"function\"!=typeof t.click)throw new Error(\"must provide button 'click' function in button config\");r.addEventListener(\"click\",(function(r){t.click(e.graphInfo,r),e.updateActiveButton(r.currentTarget)})),r.setAttribute(\"data-toggle\",t.toggle||!1),t.toggle&&n.select(r).classed(\"active\",!0);var s=t.icon;return\"function\"==typeof s?r.appendChild(s()):r.appendChild(this.createIcon(s||o.question)),r.setAttribute(\"data-gravity\",t.gravity||\"n\"),r},u.createIcon=function(t){var e,r=i(t.height)?Number(t.height):t.ascent-t.descent,n=\"http://www.w3.org/2000/svg\";if(t.path){(e=document.createElementNS(n,\"svg\")).setAttribute(\"viewBox\",[0,0,t.width,r].join(\" \")),e.setAttribute(\"class\",\"icon\");var a=document.createElementNS(n,\"path\");a.setAttribute(\"d\",t.path),t.transform?a.setAttribute(\"transform\",t.transform):void 0!==t.ascent&&a.setAttribute(\"transform\",\"matrix(1 0 0 -1 0 \"+t.ascent+\")\"),e.appendChild(a)}return t.svg&&(e=l.parseFromString(t.svg,\"application/xml\").childNodes[0]),e.setAttribute(\"height\",\"1em\"),e.setAttribute(\"width\",\"1em\"),e},u.updateActiveButton=function(t){var e=this.graphInfo._fullLayout,r=void 0!==t?t.getAttribute(\"data-attr\"):null;this.buttonElements.forEach((function(t){var i=t.getAttribute(\"data-val\")||!0,o=t.getAttribute(\"data-attr\"),s=\"true\"===t.getAttribute(\"data-toggle\"),l=n.select(t);if(s)o===r&&l.classed(\"active\",!l.classed(\"active\"));else{var c=null===o?o:a.nestedProperty(e,o).get();l.classed(\"active\",c===i)}}))},u.hasButtons=function(t){var e=this.buttons;if(!e)return!1;if(t.length!==e.length)return!1;for(var r=0;r<t.length;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;n++)if(t[r][n].name!==e[r][n].name)return!1}return!0},u.getLogo=function(){var t=this.createGroup(),e=document.createElement(\"a\");return e.href=\"https://plotly.com/\",e.target=\"_blank\",e.setAttribute(\"data-title\",a._(this.graphInfo,\"Produced with Plotly.js\")+\" (v\"+s+\")\"),e.className=\"modebar-btn plotlyjsicon modebar-btn--logo\",e.appendChild(this.createIcon(o.newplotlylogo)),t.appendChild(e),t},u.removeAllButtons=function(){for(;this.element.firstChild;)this.element.removeChild(this.element.firstChild);this.hasLogo=!1},u.destroy=function(){a.removeElement(this.container.querySelector(\".modebar\")),a.deleteRelatedStyleRule(this._uid)},t.exports=function(t,e){var r=t._fullLayout,i=new c({graphInfo:t,container:r._modebardiv.node(),buttons:e});return r._privateplot&&n.select(i.element).append(\"span\").classed(\"badge-private float--left\",!0).text(\"PRIVATE\"),i}},91032:function(t,e,r){\"use strict\";var n=r(80337),i=r(10229),a=(0,r(78032).templatedArray)(\"button\",{visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},step:{valType:\"enumerated\",values:[\"month\",\"year\",\"day\",\"hour\",\"minute\",\"second\",\"all\"],dflt:\"month\",editType:\"plot\"},stepmode:{valType:\"enumerated\",values:[\"backward\",\"todate\"],dflt:\"backward\",editType:\"plot\"},count:{valType:\"number\",min:0,dflt:1,editType:\"plot\"},label:{valType:\"string\",editType:\"plot\"},editType:\"plot\"});t.exports={visible:{valType:\"boolean\",editType:\"plot\"},buttons:a,x:{valType:\"number\",min:-2,max:3,editType:\"plot\"},xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\",editType:\"plot\"},y:{valType:\"number\",min:-2,max:3,editType:\"plot\"},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"bottom\",editType:\"plot\"},font:n({editType:\"plot\"}),bgcolor:{valType:\"color\",dflt:i.lightLine,editType:\"plot\"},activecolor:{valType:\"color\",editType:\"plot\"},bordercolor:{valType:\"color\",dflt:i.defaultLine,editType:\"plot\"},borderwidth:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},editType:\"plot\"}},68508:function(t){\"use 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g=d(\"bgcolor\");d(\"activecolor\",i.contrast(g,l.lightAmount,l.darkAmount)),d(\"bordercolor\"),d(\"borderwidth\")}}},45431:function(t,e,r){\"use strict\";var n=r(45568),i=r(33626),a=r(44122),o=r(78766),s=r(62203),l=r(34809),c=l.strTranslate,u=r(30635),h=r(5975),f=r(4530),p=f.LINE_SPACING,d=f.FROM_TL,m=f.FROM_BR,g=r(68508),y=r(16383);function v(t){return t._id}function x(t,e,r){var n=l.ensureSingle(t,\"rect\",\"selector-rect\",(function(t){t.attr(\"shape-rendering\",\"crispEdges\")}));n.attr({rx:g.rx,ry:g.ry}),n.call(o.stroke,e.bordercolor).call(o.fill,function(t,e){return e._isActive||e._isHovered?t.activecolor:t.bgcolor}(e,r)).style(\"stroke-width\",e.borderwidth+\"px\")}function _(t,e,r,n){var i,a;l.ensureSingle(t,\"text\",\"selector-text\",(function(t){t.attr(\"text-anchor\",\"middle\")})).call(s.font,e.font).text((i=r,a=n._fullLayout._meta,i.label?a?l.templateString(i.label,a):i.label:\"all\"===i.step?\"all\":i.count+i.step.charAt(0))).call((function(t){u.convertToTspans(t,n)}))}t.exports=function(t){var e=t._fullLayout._infolayer.selectAll(\".rangeselector\").data(function(t){for(var e=h.list(t,\"x\",!0),r=[],n=0;n<e.length;n++){var i=e[n];i.rangeselector&&i.rangeselector.visible&&r.push(i)}return r}(t),v);e.enter().append(\"g\").classed(\"rangeselector\",!0),e.exit().remove(),e.style({cursor:\"pointer\",\"pointer-events\":\"all\"}),e.each((function(e){var r=n.select(this),o=e,h=o.rangeselector,f=r.selectAll(\"g.button\").data(l.filterVisible(h.buttons));f.enter().append(\"g\").classed(\"button\",!0),f.exit().remove(),f.each((function(e){var r=n.select(this),a=y(o,e);e._isActive=function(t,e,r){if(\"all\"===e.step)return!0===t.autorange;var n=Object.keys(r);return t.range[0]===r[n[0]]&&t.range[1]===r[n[1]]}(o,e,a),r.call(x,h,e),r.call(_,h,e,t),r.on(\"click\",(function(){t._dragged||i.call(\"_guiRelayout\",t,a)})),r.on(\"mouseover\",(function(){e._isHovered=!0,r.call(x,h,e)})),r.on(\"mouseout\",(function(){e._isHovered=!1,r.call(x,h,e)}))})),function(t,e,r,i,o){var h=0,f=0,y=r.borderwidth;e.each((function(){var t=n.select(this).select(\".selector-text\"),e=r.font.size*p,i=Math.max(e*u.lineCount(t),16)+3;f=Math.max(f,i)})),e.each((function(){var t=n.select(this),e=t.select(\".selector-rect\"),i=t.select(\".selector-text\"),a=i.node()&&s.bBox(i.node()).width,o=r.font.size*p,l=u.lineCount(i),d=Math.max(a+10,g.minButtonWidth);t.attr(\"transform\",c(y+h,y)),e.attr({x:0,y:0,width:d,height:f}),u.positionText(i,d/2,f/2-(l-1)*o/2+3),h+=d+5}));var v=t._fullLayout._size,x=v.l+v.w*r.x,_=v.t+v.h*(1-r.y),b=\"left\";l.isRightAnchor(r)&&(x-=h,b=\"right\"),l.isCenterAnchor(r)&&(x-=h/2,b=\"center\");var w=\"top\";l.isBottomAnchor(r)&&(_-=f,w=\"bottom\"),l.isMiddleAnchor(r)&&(_-=f/2,w=\"middle\"),h=Math.ceil(h),f=Math.ceil(f),x=Math.round(x),_=Math.round(_),a.autoMargin(t,i+\"-range-selector\",{x:r.x,y:r.y,l:h*d[b],r:h*m[b],b:f*m[w],t:f*d[w]}),o.attr(\"transform\",c(x,_))}(t,f,h,o._name,r)}))}},16383:function(t,e,r){\"use strict\";var n=r(50936),i=r(34809).titleCase;t.exports=function(t,e){var r=t._name,a={};if(\"all\"===e.step)a[r+\".autorange\"]=!0;else{var o=function(t,e){var r,a=t.range,o=new Date(t.r2l(a[1])),s=e.step,l=n[\"utc\"+i(s)],c=e.count;switch(e.stepmode){case\"backward\":r=t.l2r(+l.offset(o,-c));break;case\"todate\":var u=l.offset(o,-c);r=t.l2r(+l.ceil(u))}return[r,a[1]]}(t,e);a[r+\".range[0]\"]=o[0],a[r+\".range[1]\"]=o[1]}return a}},44453:function(t,e,r){\"use strict\";t.exports={moduleType:\"component\",name:\"rangeselector\",schema:{subplots:{xaxis:{rangeselector:r(91032)}}},layoutAttributes:r(91032),handleDefaults:r(86255),draw:r(45431)}},63608:function(t,e,r){\"use 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y=.5,v=Math.round(h(f-l))-y,x=Math.round(h(p-l))+y;t.select(\"g.\"+m.grabberMinClassName).attr(\"transform\",s(v,y)),t.select(\"g.\"+m.grabberMaxClassName).attr(\"transform\",s(x,y))}(a,0,r,l,c,h),\"bottom\"===r.side&&u.draw(t,r._id+\"title\",{propContainer:r,propName:r._name+\".title\",placeholder:e._dfltTitle.x,attributes:{x:r._offset+r._length/2,y:C+l._height+l._offsetShift+10+1.5*r.title.font.size,\"text-anchor\":\"middle\"}})})))}},80400:function(t,e,r){\"use strict\";var n=r(5975),i=r(30635),a=r(20604),o=r(4530).LINE_SPACING,s=a.name;function l(t){var e=t&&t[s];return e&&e.visible}e.isVisible=l,e.makeData=function(t){var e=n.list({_fullLayout:t},\"x\",!0),r=t.margin,i=[];if(!t._has(\"gl2d\"))for(var a=0;a<e.length;a++){var o=e[a];if(l(o)){i.push(o);var c=o[s];c._id=s+o._id,c._height=(t.height-r.b-r.t)*c.thickness,c._offsetShift=Math.floor(c.borderwidth/2)}}t._rangeSliderData=i},e.autoMarginOpts=function(t,e){var r=t._fullLayout,n=e[s],l=e._id.charAt(0),c=0,u=0;return\"bottom\"===e.side&&(c=e._depth,e.title.text!==r._dfltTitle[l]&&(u=1.5*e.title.font.size+10+n._offsetShift,u+=(e.title.text.match(i.BR_TAG_ALL)||[]).length*e.title.font.size*o)),{x:0,y:e._counterDomainMin,l:0,r:0,t:0,b:n._height+c+Math.max(r.margin.b,u),pad:a.extraPad+2*n._offsetShift}}},55429:function(t,e,r){\"use strict\";var n=r(34809),i=r(63608),a=r(66249),o=r(80400);t.exports={moduleType:\"component\",name:\"rangeslider\",schema:{subplots:{xaxis:{rangeslider:n.extendFlat({},i,{yaxis:a})}}},layoutAttributes:r(63608),handleDefaults:r(41295),calcAutorange:r(46223),draw:r(88887),isVisible:o.isVisible,makeData:o.makeData,autoMarginOpts:o.autoMarginOpts}},66249:function(t){\"use 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w=f(t)&&t._fullLayout._activeSelectionIndex===e;w&&(v=t._fullLayout.activeselection.fillcolor,y=t._fullLayout.activeselection.opacity);for(var T=[],k=1;k>=0;k--){var A=r.append(\"path\").attr(g).style(\"opacity\",k?.1:y).call(o.stroke,x).call(o.fill,v).call(s.dashLine,k?\"solid\":b,k?4+_:_);if(d(A,t,a),w){var M=l(t.layout,\"selections\",a);A.style({cursor:\"move\"});var S={element:A.node(),plotinfo:p,gd:t,editHelpers:M,isActiveSelection:!0},E=n(c,t);i(E,A,S)}else A.style(\"pointer-events\",k?\"all\":\"none\");T[k]=A}var C=T[0];T[1].node().addEventListener(\"click\",(function(){return function(t,e){if(f(t)){var r=+e.node().getAttribute(\"data-index\");if(r>=0){if(r===t._fullLayout._activeSelectionIndex)return void m(t);t._fullLayout._activeSelectionIndex=r,t._fullLayout._deactivateSelection=m,h(t)}}}(t,C)}))}(t._fullLayout._selectionLayer)}function d(t,e,r){var n=r.xref+r.yref;s.setClipUrl(t,\"clip\"+e._fullLayout._uid+n,e)}function m(t){f(t)&&t._fullLayout._activeSelectionIndex>=0&&(a(t),delete t._fullLayout._activeSelectionIndex,h(t))}t.exports={draw:h,drawOne:p,activateLastSelection:function(t){if(f(t)){var e=t._fullLayout.selections.length-1;t._fullLayout._activeSelectionIndex=e,t._fullLayout._deactivateSelection=m,h(t)}}}},52307:function(t,e,r){\"use strict\";var n=r(94850).T,i=r(93049).extendFlat;t.exports={newselection:{mode:{valType:\"enumerated\",values:[\"immediate\",\"gradual\"],dflt:\"immediate\",editType:\"none\"},line:{color:{valType:\"color\",editType:\"none\"},width:{valType:\"number\",min:1,dflt:1,editType:\"none\"},dash:i({},n,{dflt:\"dot\",editType:\"none\"}),editType:\"none\"},editType:\"none\"},activeselection:{fillcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"none\"},opacity:{valType:\"number\",min:0,max:1,dflt:.5,editType:\"none\"},editType:\"none\"}}},43028:function(t){\"use 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v,x=o(a,c,h,d),_={xref:f._id,yref:p._id,opacity:u.opacity,line:{color:u.line.color,width:u.line.width,dash:u.line.dash}};1===x.length&&(v=x[0]),v&&5===v.length&&\"select\"===m?(_.type=\"rect\",_.x0=v[0][1],_.y0=v[0][2],_.x1=v[2][1],_.y1=v[2][2]):(_.type=\"path\",f&&p&&l(x,f,p),_.path=s(x),v=null),i(c);for(var b=e.editHelpers,w=(b||{}).modifyItem,T=[],k=0;k<g.length;k++){var A=c._fullLayout.selections[k];if(A){if(T[k]=A._input,void 0!==d&&k===c._fullLayout._activeSelectionIndex){var M=_;switch(A.type){case\"rect\":w(\"x0\",M.x0),w(\"x1\",M.x1),w(\"y0\",M.y0),w(\"y1\",M.y1);break;case\"path\":w(\"path\",M.path)}}}else T[k]=A}return void 0===d?(T.push(_),T):b?b.getUpdateObj():{}}}}},49801:function(t,e,r){\"use strict\";var n=r(34809).strTranslate;function i(t,e){switch(t.type){case\"log\":return t.p2d(e);case\"date\":return t.p2r(e,0,t.calendar);default:return t.p2r(e)}}t.exports={p2r:i,r2p:function(t,e){switch(t.type){case\"log\":return t.d2p(e);case\"date\":return 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n=r(11516),i=r(52773),a=r(33626),o=r(62203).dashStyle,s=r(78766),l=r(32141),c=r(36040).makeEventData,u=r(70414),h=u.freeMode,f=u.rectMode,p=u.drawMode,d=u.openMode,m=u.selectMode,g=r(49728),y=r(2956),v=r(561),x=r(78534).clearOutline,_=r(81055),b=_.handleEllipse,w=_.readPaths,T=r(87562).newShapes,k=r(51817),A=r(7028).activateLastSelection,M=r(34809),S=M.sorterAsc,E=r(80899),C=r(64025),L=r(5975).getFromId,I=r(34823),P=r(71817).redrawReglTraces,z=r(78865),O=z.MINSELECT,D=E.filter,R=E.tester,F=r(49801),B=F.p2r,N=F.axValue,j=F.getTransform;function U(t){return void 0!==t.subplot}function V(t,e,r,n,i,a,o){var s,l,c,u,h,f,p,m,g,y=e._hoverdata,x=e._fullLayout.clickmode.indexOf(\"event\")>-1,_=[];if(function(t){return t&&Array.isArray(t)&&!0!==t[0].hoverOnBox}(y)){Z(t,e,a);var b=function(t,e){var r,n,i=t[0],a=-1,o=[];for(n=0;n<e.length;n++)if(r=e[n],i.fullData._expandedIndex===r.cd[0].trace._expandedIndex){if(!0===i.hoverOnBox)break;void 0!==i.pointNumber?a=i.pointNumber:void 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v,x,_,b,w=[],T=h[y][0],k=T;switch(T){case\"M\":f[++p]=[],d=+h[y][1],m=+h[y][2],w.push([k,d,m]),g();break;case\"Q\":case\"S\":v=+h[y][1],_=+h[y][2],d=+h[y][3],m=+h[y][4],w.push([k,d,m,v,_]);break;case\"C\":v=+h[y][1],_=+h[y][2],x=+h[y][3],b=+h[y][4],d=+h[y][5],m=+h[y][6],w.push([k,d,m,v,_,x,b]);break;case\"T\":case\"L\":d=+h[y][1],m=+h[y][2],w.push([k,d,m]);break;case\"H\":k=\"L\",d=+h[y][1],w.push([k,d,m]);break;case\"V\":k=\"L\",m=+h[y][1],w.push([k,d,m]);break;case\"A\":k=\"L\";var A=+h[y][1],M=+h[y][2];+h[y][4]||(A=-A,M=-M);var S=d-A,E=m;for(o=1;o<=a/2;o++){var C=2*Math.PI*o/a;w.push([k,S+A*Math.cos(C),E+M*Math.sin(C)])}break;case\"Z\":d===s&&m===u||(d=s,m=u,w.push([k,d,m]))}for(var L=(r||{}).domain,I=e._fullLayout._size,P=r&&\"pixel\"===r.xsizemode,z=r&&\"pixel\"===r.ysizemode,O=!1===i,D=0;D<w.length;D++){for(o=0;o+2<7;o+=2){var R=w[D][o+1],F=w[D][o+2];void 0!==R&&void 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p=2*f*Math.PI/a;h.push([s+c*Math.cos(p),l+u*Math.sin(p)])}return h},e.ellipseOver=function(t){var e=t.x0,r=t.y0,n=t.x1,i=t.y1,a=n-e,s=i-r,l=((e-=a)+n)/2,c=((r-=s)+i)/2;return{x0:l-(a*=o),y0:c-(s*=o),x1:l+a,y1:c+s}},e.fixDatesForPaths=function(t,e,r){var n=\"date\"===e.type,i=\"date\"===r.type;if(!n&&!i)return t;for(var a=0;a<t.length;a++)for(var o=0;o<t[a].length;o++)for(var s=0;s+2<t[a][o].length;s+=2)n&&(t[a][o][s+1]=t[a][o][s+1].replace(\" \",\"_\")),i&&(t[a][o][s+2]=t[a][o][s+2].replace(\" \",\"_\"));return t}},87562:function(t,e,r){\"use strict\";var n=r(70414),i=n.drawMode,a=n.openMode,o=r(93391),s=o.i000,l=o.i090,c=o.i180,u=o.i270,h=o.cos45,f=o.sin45,p=r(49801),d=p.p2r,m=p.r2p,g=r(78534).clearOutline,y=r(81055),v=y.readPaths,x=y.writePaths,_=y.ellipseOver,b=y.fixDatesForPaths;function w(t,e,r){var n,i=t[0][0],o=e.gd,p=i.getAttribute(\"d\"),g=o._fullLayout.newshape,y=e.plotinfo,w=e.isActiveShape,T=y.xaxis,k=y.yaxis,A=!!y.domain||!y.xaxis,M=!!y.domain||!y.yaxis,S=a(r),E=v(p,o,y,w),C={editable:!0,visible:g.visible,name:g.name,showlegend:g.showlegend,legend:g.legend,legendwidth:g.legendwidth,legendgroup:g.legendgroup,legendgrouptitle:{text:g.legendgrouptitle.text,font:g.legendgrouptitle.font},legendrank:g.legendrank,label:g.label,xref:A?\"paper\":T._id,yref:M?\"paper\":k._id,layer:g.layer,opacity:g.opacity,line:{color:g.line.color,width:g.line.width,dash:g.line.dash}};if(S||(C.fillcolor=g.fillcolor,C.fillrule=g.fillrule),1===E.length&&(n=E[0]),n&&5===n.length&&\"drawrect\"===r)C.type=\"rect\",C.x0=n[0][1],C.y0=n[0][2],C.x1=n[2][1],C.y1=n[2][2];else if(n&&\"drawline\"===r)C.type=\"line\",C.x0=n[0][1],C.y0=n[0][2],C.x1=n[1][1],C.y1=n[1][2];else if(n&&\"drawcircle\"===r){C.type=\"circle\";var L=n[s][1],I=n[l][1],P=n[c][1],z=n[u][1],O=n[s][2],D=n[l][2],R=n[c][2],F=n[u][2],B=y.xaxis&&(\"date\"===y.xaxis.type||\"log\"===y.xaxis.type),N=y.yaxis&&(\"date\"===y.yaxis.type||\"log\"===y.yaxis.type);B&&(L=m(y.xaxis,L),I=m(y.xaxis,I),P=m(y.xaxis,P),z=m(y.xaxis,z)),N&&(O=m(y.yaxis,O),D=m(y.yaxis,D),R=m(y.yaxis,R),F=m(y.yaxis,F));var j=(I+z)/2,U=(O+R)/2,V=_({x0:j,y0:U,x1:j+(z-I+P-L)/2*h,y1:U+(F-D+R-O)/2*f});B&&(V.x0=d(y.xaxis,V.x0),V.x1=d(y.xaxis,V.x1)),N&&(V.y0=d(y.yaxis,V.y0),V.y1=d(y.yaxis,V.y1)),C.x0=V.x0,C.y0=V.y0,C.x1=V.x1,C.y1=V.y1}else C.type=\"path\",T&&k&&b(E,T,k),C.path=x(E),n=null;return C}t.exports={newShapes:function(t,e){if(t.length&&t[0][0]){var r=e.gd,n=e.isActiveShape,a=e.dragmode,o=(r.layout||{}).shapes||[];if(!i(a)&&void 0!==n){var s=r._fullLayout._activeShapeIndex;if(s<o.length)switch(r._fullLayout.shapes[s].type){case\"rect\":a=\"drawrect\";break;case\"circle\":a=\"drawcircle\";break;case\"line\":a=\"drawline\";break;case\"path\":var l=o[s].path||\"\";a=\"Z\"===l[l.length-1]?\"drawclosedpath\":\"drawopenpath\"}}var c=w(t,e,a);g(r);for(var u=e.editHelpers,h=(u||{}).modifyItem,f=[],p=0;p<o.length;p++){var d=r._fullLayout.shapes[p];if(f[p]=d._input,void 0!==n&&p===r._fullLayout._activeShapeIndex){var m=c;switch(d.type){case\"line\":case\"rect\":case\"circle\":h(\"x0\",m.x0-(d.x0shift||0)),h(\"x1\",m.x1-(d.x1shift||0)),h(\"y0\",m.y0-(d.y0shift||0)),h(\"y1\",m.y1-(d.y1shift||0));break;case\"path\":h(\"path\",m.path)}}}return void 0===n?(f.push(c),f):u?u.getUpdateObj():{}}},createShapeObj:w}},78534:function(t){\"use strict\";t.exports={clearOutlineControllers:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(\".outline-controllers\").remove()},clearOutline:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(\".select-outline\").remove(),t._fullLayout._outlining=!1}}},49728:function(t,e,r){\"use strict\";var n=r(2956),i=r(34809),a=r(29714);function o(t,e){var r=0;return(e=e||0)&&t&&(\"category\"===t.type||\"multicategory\"===t.type)&&(r=(t.r2p(1)-t.r2p(0))*e),r}e.rangeToShapePosition=function(t){return\"log\"===t.type?t.r2d:function(t){return t}},e.shapePositionToRange=function(t){return\"log\"===t.type?t.d2r:function(t){return t}},e.decodeDate=function(t){return function(e){return e.replace&&(e=e.replace(\"_\",\" \")),t(e)}},e.encodeDate=function(t){return function(e){return t(e).replace(\" \",\"_\")}},e.extractPathCoords=function(t,e,r){var a=[];return t.match(n.segmentRE).forEach((function(t){var o=e[t.charAt(0)].drawn;if(void 0!==o){var s=t.substr(1).match(n.paramRE);if(s&&!(s.length<o)){var l=s[o],c=r?l:i.cleanNumber(l);a.push(c)}}})),a},e.getDataToPixel=function(t,r,n,i,a){var s,l=t._fullLayout._size;if(r)if(\"domain\"===a)s=function(t){return r._length*(i?1-t:t)+r._offset};else{var c=e.shapePositionToRange(r);s=function(t){var e=o(r,n);return r._offset+r.r2p(c(t,!0))+e},\"date\"===r.type&&(s=e.decodeDate(s))}else s=i?function(t){return l.t+l.h*(1-t)}:function(t){return l.l+l.w*t};return s},e.getPixelToData=function(t,r,n,i){var a,o=t._fullLayout._size;if(r)if(\"domain\"===i)a=function(t){var e=(t-r._offset)/r._length;return n?1-e:e};else{var s=e.rangeToShapePosition(r);a=function(t){return s(r.p2r(t-r._offset))}}else a=n?function(t){return 1-(t-o.t)/o.h}:function(t){return(t-o.l)/o.w};return a},e.roundPositionForSharpStrokeRendering=function(t,e){var r=1===Math.round(e%2),n=Math.round(t);return r?n+.5:n},e.makeShapesOptionsAndPlotinfo=function(t,e){var r=t._fullLayout.shapes[e]||{},n=t._fullLayout._plots[r.xref+r.yref];return n?n._hadPlotinfo=!0:(n={},r.xref&&\"paper\"!==r.xref&&(n.xaxis=t._fullLayout[r.xref+\"axis\"]),r.yref&&\"paper\"!==r.yref&&(n.yaxis=t._fullLayout[r.yref+\"axis\"])),n.xsizemode=r.xsizemode,n.ysizemode=r.ysizemode,n.xanchor=r.xanchor,n.yanchor=r.yanchor,{options:r,plotinfo:n}},e.makeSelectionsOptionsAndPlotinfo=function(t,e){var r=t._fullLayout.selections[e]||{},n=t._fullLayout._plots[r.xref+r.yref];return n?n._hadPlotinfo=!0:(n={},r.xref&&(n.xaxis=t._fullLayout[r.xref+\"axis\"]),r.yref&&(n.yaxis=t._fullLayout[r.yref+\"axis\"])),{options:r,plotinfo:n}},e.getPathString=function(t,r){var s,l,c,u,h,f,p,d,m=r.type,g=a.getRefType(r.xref),y=a.getRefType(r.yref),v=a.getFromId(t,r.xref),x=a.getFromId(t,r.yref),_=t._fullLayout._size,b=o(v,r.x0shift),w=o(v,r.x1shift),T=o(x,r.y0shift),k=o(x,r.y1shift);if(v?\"domain\"===g?l=function(t){return v._offset+v._length*t}:(s=e.shapePositionToRange(v),l=function(t){return v._offset+v.r2p(s(t,!0))}):l=function(t){return _.l+_.w*t},x?\"domain\"===y?u=function(t){return x._offset+x._length*(1-t)}:(c=e.shapePositionToRange(x),u=function(t){return x._offset+x.r2p(c(t,!0))}):u=function(t){return _.t+_.h*(1-t)},\"path\"===m)return v&&\"date\"===v.type&&(l=e.decodeDate(l)),x&&\"date\"===x.type&&(u=e.decodeDate(u)),function(t,e,r){var a=t.path,o=t.xsizemode,s=t.ysizemode,l=t.xanchor,c=t.yanchor;return a.replace(n.segmentRE,(function(t){var a=0,u=t.charAt(0),h=n.paramIsX[u],f=n.paramIsY[u],p=n.numParams[u],d=t.substr(1).replace(n.paramRE,(function(t){return h[a]?t=\"pixel\"===o?e(l)+Number(t):e(t):f[a]&&(t=\"pixel\"===s?r(c)-Number(t):r(t)),++a>p&&(t=\"X\"),t}));return a>p&&(d=d.replace(/[\\s,]*X.*/,\"\"),i.log(\"Ignoring extra params in segment \"+t)),u+d}))}(r,l,u);if(\"pixel\"===r.xsizemode){var A=l(r.xanchor);h=A+r.x0+b,f=A+r.x1+w}else h=l(r.x0)+b,f=l(r.x1)+w;if(\"pixel\"===r.ysizemode){var M=u(r.yanchor);p=M-r.y0+T,d=M-r.y1+k}else p=u(r.y0)+T,d=u(r.y1)+k;if(\"line\"===m)return\"M\"+h+\",\"+p+\"L\"+f+\",\"+d;if(\"rect\"===m)return\"M\"+h+\",\"+p+\"H\"+f+\"V\"+d+\"H\"+h+\"Z\";var S=(h+f)/2,E=(p+d)/2,C=Math.abs(S-h),L=Math.abs(E-p),I=\"A\"+C+\",\"+L,P=S+C+\",\"+E;return\"M\"+P+I+\" 0 1,1 \"+S+\",\"+(E-L)+I+\" 0 0,1 \"+P+\"Z\"}},43701:function(t,e,r){\"use strict\";var n=r(28231);t.exports={moduleType:\"component\",name:\"shapes\",layoutAttributes:r(43144),supplyLayoutDefaults:r(74367),supplyDrawNewShapeDefaults:r(85522),includeBasePlot:r(20706)(\"shapes\"),calcAutorange:r(44959),draw:n.draw,drawOne:n.drawOne}},41235:function(t){\"use strict\";function e(t,e){return e?e.d2l(t):t}function r(t,e){return e?e.l2d(t):t}function n(t){return t.x0shift||0}function i(t){return t.x1shift||0}function a(t){return t.y0shift||0}function o(t){return t.y1shift||0}function s(t,r){return e(t.x1,r)+i(t)-e(t.x0,r)-n(t)}function l(t,r,n){return e(t.y1,n)+o(t)-e(t.y0,n)-a(t)}t.exports={x0:function(t){return t.x0},x1:function(t){return t.x1},y0:function(t){return t.y0},y1:function(t){return t.y1},slope:function(t,e,r){return\"line\"!==t.type?void 0:l(t,0,r)/s(t,e)},dx:s,dy:l,width:function(t,e){return Math.abs(s(t,e))},height:function(t,e,r){return Math.abs(l(t,0,r))},length:function(t,e,r){return\"line\"!==t.type?void 0:Math.sqrt(Math.pow(s(t,e),2)+Math.pow(l(t,0,r),2))},xcenter:function(t,a){return r((e(t.x1,a)+i(t)+e(t.x0,a)+n(t))/2,a)},ycenter:function(t,n,i){return r((e(t.y1,i)+o(t)+e(t.y0,i)+a(t))/2,i)}}},8606:function(t,e,r){\"use strict\";var n=r(80337),i=r(57891),a=r(93049).extendDeepAll,o=r(13582).overrideAll,s=r(49722),l=r(78032).templatedArray,c=r(64194),u=l(\"step\",{visible:{valType:\"boolean\",dflt:!0},method:{valType:\"enumerated\",values:[\"restyle\",\"relayout\",\"animate\",\"update\",\"skip\"],dflt:\"restyle\"},args:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},label:{valType:\"string\"},value:{valType:\"string\"},execute:{valType:\"boolean\",dflt:!0}});t.exports=o(l(\"slider\",{visible:{valType:\"boolean\",dflt:!0},active:{valType:\"number\",min:0,dflt:0},steps:u,lenmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"fraction\"},len:{valType:\"number\",min:0,dflt:1},x:{valType:\"number\",min:-2,max:3,dflt:0},pad:a(i({editType:\"arraydraw\"}),{},{t:{dflt:20}}),xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\"},y:{valType:\"number\",min:-2,max:3,dflt:0},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"top\"},transition:{duration:{valType:\"number\",min:0,dflt:150},easing:{valType:\"enumerated\",values:s.transition.easing.values,dflt:\"cubic-in-out\"}},currentvalue:{visible:{valType:\"boolean\",dflt:!0},xanchor:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],dflt:\"left\"},offset:{valType:\"number\",dflt:10},prefix:{valType:\"string\"},suffix:{valType:\"string\"},font:n({})},font:n({}),activebgcolor:{valType:\"color\",dflt:c.gripBgActiveColor},bgcolor:{valType:\"color\",dflt:c.railBgColor},bordercolor:{valType:\"color\",dflt:c.railBorderColor},borderwidth:{valType:\"number\",min:0,dflt:c.railBorderWidth},ticklen:{valType:\"number\",min:0,dflt:c.tickLength},tickcolor:{valType:\"color\",dflt:c.tickColor},tickwidth:{valType:\"number\",min:0,dflt:1},minorticklen:{valType:\"number\",min:0,dflt:c.minorTickLength}}),\"arraydraw\",\"from-root\")},64194:function(t){\"use strict\";t.exports={name:\"sliders\",containerClassName:\"slider-container\",groupClassName:\"slider-group\",inputAreaClass:\"slider-input-area\",railRectClass:\"slider-rail-rect\",railTouchRectClass:\"slider-rail-touch-rect\",gripRectClass:\"slider-grip-rect\",tickRectClass:\"slider-tick-rect\",inputProxyClass:\"slider-input-proxy\",labelsClass:\"slider-labels\",labelGroupClass:\"slider-label-group\",labelClass:\"slider-label\",currentValueClass:\"slider-current-value\",railHeight:5,menuIndexAttrName:\"slider-active-index\",autoMarginIdRoot:\"slider-\",minWidth:30,minHeight:30,textPadX:40,arrowOffsetX:4,railRadius:2,railWidth:5,railBorder:4,railBorderWidth:1,railBorderColor:\"#bec8d9\",railBgColor:\"#f8fafc\",railInset:8,stepInset:10,gripRadius:10,gripWidth:20,gripHeight:20,gripBorder:20,gripBorderWidth:1,gripBorderColor:\"#bec8d9\",gripBgColor:\"#f6f8fa\",gripBgActiveColor:\"#dbdde0\",labelPadding:8,labelOffset:0,tickWidth:1,tickColor:\"#333\",tickOffset:25,tickLength:7,minorTickOffset:25,minorTickColor:\"#333\",minorTickLength:4,currentValuePadding:8,currentValueInset:0}},74537:function(t,e,r){\"use 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n.coerce(t,e,s,r,i)}if(\"skip\"===t.method||Array.isArray(t.args)?r(\"visible\"):e.visible=!1){r(\"method\"),r(\"args\");var i=r(\"label\",\"step-\"+e._index);r(\"value\",i),r(\"execute\")}}t.exports=function(t,e){i(t,e,{name:o,handleItemDefaults:l})}},44097:function(t,e,r){\"use strict\";var n=r(45568),i=r(44122),a=r(78766),o=r(62203),s=r(34809),l=s.strTranslate,c=r(30635),u=r(78032).arrayEditor,h=r(64194),f=r(4530),p=f.LINE_SPACING,d=f.FROM_TL,m=f.FROM_BR;function g(t){return h.autoMarginIdRoot+t._index}function y(t){return t._index}function v(t,e){var r=o.tester.selectAll(\"g.\"+h.labelGroupClass).data(e._visibleSteps);r.enter().append(\"g\").classed(h.labelGroupClass,!0);var a=0,l=0;r.each((function(t){var r=b(n.select(this),{step:t},e).node();if(r){var i=o.bBox(r);l=Math.max(l,i.height),a=Math.max(a,i.width)}})),r.remove();var u=e._dims={};u.inputAreaWidth=Math.max(h.railWidth,h.gripHeight);var f=t._fullLayout._size;u.lx=f.l+f.w*e.x,u.ly=f.t+f.h*(1-e.y),\"fraction\"===e.lenmode?u.outerLength=Math.round(f.w*e.len):u.outerLength=e.len,u.inputAreaStart=0,u.inputAreaLength=Math.round(u.outerLength-e.pad.l-e.pad.r);var p=(u.inputAreaLength-2*h.stepInset)/(e._stepCount-1),y=a+h.labelPadding;if(u.labelStride=Math.max(1,Math.ceil(y/p)),u.labelHeight=l,u.currentValueMaxWidth=0,u.currentValueHeight=0,u.currentValueTotalHeight=0,u.currentValueMaxLines=1,e.currentvalue.visible){var v=o.tester.append(\"g\");r.each((function(t){var r=x(v,e,t.label),n=r.node()&&o.bBox(r.node())||{width:0,height:0},i=c.lineCount(r);u.currentValueMaxWidth=Math.max(u.currentValueMaxWidth,Math.ceil(n.width)),u.currentValueHeight=Math.max(u.currentValueHeight,Math.ceil(n.height)),u.currentValueMaxLines=Math.max(u.currentValueMaxLines,i)})),u.currentValueTotalHeight=u.currentValueHeight+e.currentvalue.offset,v.remove()}u.height=u.currentValueTotalHeight+h.tickOffset+e.ticklen+h.labelOffset+u.labelHeight+e.pad.t+e.pad.b;var _=\"left\";s.isRightAnchor(e)&&(u.lx-=u.outerLength,_=\"right\"),s.isCenterAnchor(e)&&(u.lx-=u.outerLength/2,_=\"center\");var w=\"top\";s.isBottomAnchor(e)&&(u.ly-=u.height,w=\"bottom\"),s.isMiddleAnchor(e)&&(u.ly-=u.height/2,w=\"middle\"),u.outerLength=Math.ceil(u.outerLength),u.height=Math.ceil(u.height),u.lx=Math.round(u.lx),u.ly=Math.round(u.ly);var T={y:e.y,b:u.height*m[w],t:u.height*d[w]};\"fraction\"===e.lenmode?(T.l=0,T.xl=e.x-e.len*d[_],T.r=0,T.xr=e.x+e.len*m[_]):(T.x=e.x,T.l=u.outerLength*d[_],T.r=u.outerLength*m[_]),i.autoMargin(t,g(e),T)}function x(t,e,r){if(e.currentvalue.visible){var n,i,a=e._dims;switch(e.currentvalue.xanchor){case\"right\":n=a.inputAreaLength-h.currentValueInset-a.currentValueMaxWidth,i=\"left\";break;case\"center\":n=.5*a.inputAreaLength,i=\"middle\";break;default:n=h.currentValueInset,i=\"left\"}var l=s.ensureSingle(t,\"text\",h.labelClass,(function(t){t.attr({\"text-anchor\":i,\"data-notex\":1})})),u=e.currentvalue.prefix?e.currentvalue.prefix:\"\";if(\"string\"==typeof r)u+=r;else{var f=e.steps[e.active].label,d=e._gd._fullLayout._meta;d&&(f=s.templateString(f,d)),u+=f}e.currentvalue.suffix&&(u+=e.currentvalue.suffix),l.call(o.font,e.currentvalue.font).text(u).call(c.convertToTspans,e._gd);var m=c.lineCount(l),g=(a.currentValueMaxLines+1-m)*e.currentvalue.font.size*p;return c.positionText(l,n,g),l}}function _(t,e,r){s.ensureSingle(t,\"rect\",h.gripRectClass,(function(n){n.call(A,e,t,r).style(\"pointer-events\",\"all\")})).attr({width:h.gripWidth,height:h.gripHeight,rx:h.gripRadius,ry:h.gripRadius}).call(a.stroke,r.bordercolor).call(a.fill,r.bgcolor).style(\"stroke-width\",r.borderwidth+\"px\")}function b(t,e,r){var n=s.ensureSingle(t,\"text\",h.labelClass,(function(t){t.attr({\"text-anchor\":\"middle\",\"data-notex\":1})})),i=e.step.label,a=r._gd._fullLayout._meta;return a&&(i=s.templateString(i,a)),n.call(o.font,r.font).text(i).call(c.convertToTspans,r._gd),n}function w(t,e){var r=s.ensureSingle(t,\"g\",h.labelsClass),i=e._dims,a=r.selectAll(\"g.\"+h.labelGroupClass).data(i.labelSteps);a.enter().append(\"g\").classed(h.labelGroupClass,!0),a.exit().remove(),a.each((function(t){var r=n.select(this);r.call(b,t,e),o.setTranslate(r,E(e,t.fraction),h.tickOffset+e.ticklen+e.font.size*p+h.labelOffset+i.currentValueTotalHeight)}))}function T(t,e,r,n,i){var a=Math.round(n*(r._stepCount-1)),o=r._visibleSteps[a]._index;o!==r.active&&k(t,e,r,o,!0,i)}function k(t,e,r,n,a,o){var s=r.active;r.active=n,u(t.layout,h.name,r).applyUpdate(\"active\",n);var l=r.steps[r.active];e.call(S,r,o),e.call(x,r),t.emit(\"plotly_sliderchange\",{slider:r,step:r.steps[r.active],interaction:a,previousActive:s}),l&&l.method&&a&&(e._nextMethod?(e._nextMethod.step=l,e._nextMethod.doCallback=a,e._nextMethod.doTransition=o):(e._nextMethod={step:l,doCallback:a,doTransition:o},e._nextMethodRaf=window.requestAnimationFrame((function(){var r=e._nextMethod.step;r.method&&(r.execute&&i.executeAPICommand(t,r.method,r.args),e._nextMethod=null,e._nextMethodRaf=null)}))))}function A(t,e,r){if(!e._context.staticPlot){var i=r.node(),o=n.select(e);t.on(\"mousedown\",l),t.on(\"touchstart\",l)}function s(){return r.data()[0]}function l(){var t=s();e.emit(\"plotly_sliderstart\",{slider:t});var l=r.select(\".\"+h.gripRectClass);n.event.stopPropagation(),n.event.preventDefault(),l.call(a.fill,t.activebgcolor);var c=C(t,n.mouse(i)[0]);function u(){var t=s(),a=C(t,n.mouse(i)[0]);T(e,r,t,a,!1)}function f(){var t=s();t._dragging=!1,l.call(a.fill,t.bgcolor),o.on(\"mouseup\",null),o.on(\"mousemove\",null),o.on(\"touchend\",null),o.on(\"touchmove\",null),e.emit(\"plotly_sliderend\",{slider:t,step:t.steps[t.active]})}T(e,r,t,c,!0),t._dragging=!0,o.on(\"mousemove\",u),o.on(\"touchmove\",u),o.on(\"mouseup\",f),o.on(\"touchend\",f)}}function M(t,e){var r=t.selectAll(\"rect.\"+h.tickRectClass).data(e._visibleSteps),i=e._dims;r.enter().append(\"rect\").classed(h.tickRectClass,!0),r.exit().remove(),r.attr({width:e.tickwidth+\"px\",\"shape-rendering\":\"crispEdges\"}),r.each((function(t,r){var s=r%i.labelStride==0,l=n.select(this);l.attr({height:s?e.ticklen:e.minorticklen}).call(a.fill,e.tickcolor),o.setTranslate(l,E(e,r/(e._stepCount-1))-.5*e.tickwidth,(s?h.tickOffset:h.minorTickOffset)+i.currentValueTotalHeight)}))}function S(t,e,r){for(var n=t.select(\"rect.\"+h.gripRectClass),i=0,a=0;a<e._stepCount;a++)if(e._visibleSteps[a]._index===e.active){i=a;break}var o=E(e,i/(e._stepCount-1));if(!e._invokingCommand){var s=n;r&&e.transition.duration>0&&(s=s.transition().duration(e.transition.duration).ease(e.transition.easing)),s.attr(\"transform\",l(o-.5*h.gripWidth,e._dims.currentValueTotalHeight))}}function E(t,e){var r=t._dims;return r.inputAreaStart+h.stepInset+(r.inputAreaLength-2*h.stepInset)*Math.min(1,Math.max(0,e))}function C(t,e){var r=t._dims;return Math.min(1,Math.max(0,(e-h.stepInset-r.inputAreaStart)/(r.inputAreaLength-2*h.stepInset-2*r.inputAreaStart)))}function L(t,e,r){var n=r._dims,i=s.ensureSingle(t,\"rect\",h.railTouchRectClass,(function(n){n.call(A,e,t,r).style(\"pointer-events\",\"all\")}));i.attr({width:n.inputAreaLength,height:Math.max(n.inputAreaWidth,h.tickOffset+r.ticklen+n.labelHeight)}).call(a.fill,r.bgcolor).attr(\"opacity\",0),o.setTranslate(i,0,n.currentValueTotalHeight)}function I(t,e){var r=e._dims,n=r.inputAreaLength-2*h.railInset,i=s.ensureSingle(t,\"rect\",h.railRectClass);i.attr({width:n,height:h.railWidth,rx:h.railRadius,ry:h.railRadius,\"shape-rendering\":\"crispEdges\"}).call(a.stroke,e.bordercolor).call(a.fill,e.bgcolor).style(\"stroke-width\",e.borderwidth+\"px\"),o.setTranslate(i,h.railInset,.5*(r.inputAreaWidth-h.railWidth)+r.currentValueTotalHeight)}t.exports=function(t){var e=t._context.staticPlot,r=t._fullLayout,a=function(t,e){for(var r=t[h.name],n=[],i=0;i<r.length;i++){var a=r[i];a.visible&&(a._gd=e,n.push(a))}return n}(r,t),s=r._infolayer.selectAll(\"g.\"+h.containerClassName).data(a.length>0?[0]:[]);function l(e){e._commandObserver&&(e._commandObserver.remove(),delete e._commandObserver),i.autoMargin(t,g(e))}if(s.enter().append(\"g\").classed(h.containerClassName,!0).style(\"cursor\",e?null:\"ew-resize\"),s.exit().each((function(){n.select(this).selectAll(\"g.\"+h.groupClassName).each(l)})).remove(),0!==a.length){var c=s.selectAll(\"g.\"+h.groupClassName).data(a,y);c.enter().append(\"g\").classed(h.groupClassName,!0),c.exit().each(l).remove();for(var u=0;u<a.length;u++){var f=a[u];v(t,f)}c.each((function(e){var r=n.select(this);!function(t){var e=t._dims;e.labelSteps=[];for(var r=t._stepCount,n=0;n<r;n+=e.labelStride)e.labelSteps.push({fraction:n/(r-1),step:t._visibleSteps[n]})}(e),i.manageCommandObserver(t,e,e._visibleSteps,(function(e){var n=r.data()[0];n.active!==e.index&&(n._dragging||k(t,r,n,e.index,!1,!0))})),function(t,e,r){(r.steps[r.active]||{}).visible||(r.active=r._visibleSteps[0]._index),e.call(x,r).call(I,r).call(w,r).call(M,r).call(L,t,r).call(_,t,r);var n=r._dims;o.setTranslate(e,n.lx+r.pad.l,n.ly+r.pad.t),e.call(S,r,!1),e.call(x,r)}(t,n.select(this),e)}))}}},15359:function(t,e,r){\"use strict\";var n=r(64194);t.exports={moduleType:\"component\",name:n.name,layoutAttributes:r(8606),supplyLayoutDefaults:r(74537),draw:r(44097)}},17240:function(t,e,r){\"use strict\";var n=r(45568),i=r(10721),a=r(44122),o=r(33626),s=r(34809),l=s.strTranslate,c=r(62203),u=r(78766),h=r(30635),f=r(20438),p=r(4530).OPPOSITE_SIDE,d=/ [XY][0-9]* /;t.exports={draw:function(t,e,r){var m,g=t._fullLayout,y=r.propContainer,v=r.propName,x=r.placeholder,_=r.traceIndex,b=r.avoid||{},w=r.attributes,T=r.transform,k=r.containerGroup,A=1,M=y.title,S=(M&&M.text?M.text:\"\").trim(),E=!1,C=M&&M.font?M.font:{},L=C.family,I=C.size,P=C.color,z=C.weight,O=C.style,D=C.variant,R=C.textcase,F=C.lineposition,B=C.shadow,N=!!r.subtitlePropName,j=r.subtitlePlaceholder,U=(y.title||{}).subtitle||{text:\"\",font:{}},V=U.text.trim(),q=!1,H=1,G=U.font,Z=G.family,W=G.size,Y=G.color,X=G.weight,$=G.style,J=G.variant,K=G.textcase,Q=G.lineposition,tt=G.shadow;\"title.text\"===v?m=\"titleText\":-1!==v.indexOf(\"axis\")?m=\"axisTitleText\":v.indexOf(!0)&&(m=\"colorbarTitleText\");var et=t._context.edits[m];function rt(t,e){return void 0!==t&&void 0!==e&&t.replace(d,\" % \")===e.replace(d,\" % \")}\"\"===S?A=0:rt(S,x)&&(et||(S=\"\"),A=.2,E=!0),N&&(\"\"===V?H=0:rt(V,j)&&(et||(V=\"\"),H=.2,q=!0)),r._meta?S=s.templateString(S,r._meta):g._meta&&(S=s.templateString(S,g._meta));var nt,it=S||V||et;k||(k=s.ensureSingle(g._infolayer,\"g\",\"g-\"+e),nt=g._hColorbarMoveTitle);var at=k.selectAll(\"text.\"+e).data(it?[0]:[]);at.enter().append(\"text\"),at.text(S).attr(\"class\",e),at.exit().remove();var ot=null,st=e+\"-subtitle\",lt=V||et;if(N&&lt&&((ot=k.selectAll(\"text.\"+st).data(lt?[0]:[])).enter().append(\"text\"),ot.text(V).attr(\"class\",st),ot.exit().remove()),!it)return k;function ct(t,e){s.syncOrAsync([ut,ht],{title:t,subtitle:e})}function ut(r){var i,o=r.title,f=r.subtitle;if(!T&&nt&&(T={}),T?(i=\"\",T.rotate&&(i+=\"rotate(\"+[T.rotate,w.x,w.y]+\")\"),(T.offset||nt)&&(i+=l(0,(T.offset||0)-(nt||0)))):i=null,o.attr(\"transform\",i),o.style(\"opacity\",A*u.opacity(P)).call(c.font,{color:u.rgb(P),size:n.round(I,2),family:L,weight:z,style:O,variant:D,textcase:R,shadow:B,lineposition:F}).attr(w).call(h.convertToTspans,t,(function(t){if(t){var e=n.select(t.node().parentNode).select(\".\"+st);if(!e.empty()){var r=t.node().getBBox();if(r.height){var i=r.y+r.height+1.6*W;e.attr(\"y\",i)}}}})),f){var p=k.select(\".\"+e+\"-math-group\"),d=o.node().getBBox(),m=p.node()?p.node().getBBox():void 0,g=m?m.y+m.height+1.6*W:d.y+d.height+1.6*W,y=s.extendFlat({},w,{y:g});f.attr(\"transform\",i),f.style(\"opacity\",H*u.opacity(Y)).call(c.font,{color:u.rgb(Y),size:n.round(W,2),family:Z,weight:X,style:$,variant:J,textcase:K,shadow:tt,lineposition:Q}).attr(y).call(h.convertToTspans,t)}return a.previousPromises(t)}function ht(e){var r=e.title,a=n.select(r.node().parentNode);if(b&&b.selection&&b.side&&S){a.attr(\"transform\",null);var o=p[b.side],u=\"left\"===b.side||\"top\"===b.side?-1:1,h=i(b.pad)?b.pad:2,f=c.bBox(a.node()),d={t:0,b:0,l:0,r:0},m=t._fullLayout._reservedMargin;for(var v in m)for(var x in m[v]){var _=m[v][x];d[x]=Math.max(d[x],_)}var w={left:d.l,top:d.t,right:g.width-d.r,bottom:g.height-d.b},T=b.maxShift||u*(w[b.side]-f[b.side]),k=0;if(T<0)k=T;else{var 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pt=at.node().getBBox(),dt=pt.y+pt.height+1.6*W;ot.attr(\"y\",dt)}V?ot.on(\".opacity\",null):(ft(ot,j),q=!0),ot.call(h.makeEditable,{gd:t}).on(\"edit\",(function(e){o.call(\"_guiRelayout\",t,\"title.subtitle.text\",e)})).on(\"cancel\",(function(){this.text(this.attr(\"data-unformatted\")).call(ct)})).on(\"input\",(function(t){this.text(t||\" \").call(h.positionText,ot.attr(\"x\"),ot.attr(\"y\"))}))}return at.classed(\"js-placeholder\",E),ot&&ot.classed(\"js-placeholder\",q),k},SUBTITLE_PADDING_EM:1.6,SUBTITLE_PADDING_MATHJAX_EM:1.6}},85389:function(t,e,r){\"use strict\";var n=r(80337),i=r(10229),a=r(93049).extendFlat,o=r(13582).overrideAll,s=r(57891),l=r(78032).templatedArray,c=l(\"button\",{visible:{valType:\"boolean\"},method:{valType:\"enumerated\",values:[\"restyle\",\"relayout\",\"animate\",\"update\",\"skip\"],dflt:\"restyle\"},args:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},args2:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},label:{valType:\"string\",dflt:\"\"},execute:{valType:\"boolean\",dflt:!0}});t.exports=o(l(\"updatemenu\",{_arrayAttrRegexps:[/^updatemenus\\[(0|[1-9][0-9]+)\\]\\.buttons/],visible:{valType:\"boolean\"},type:{valType:\"enumerated\",values:[\"dropdown\",\"buttons\"],dflt:\"dropdown\"},direction:{valType:\"enumerated\",values:[\"left\",\"right\",\"up\",\"down\"],dflt:\"down\"},active:{valType:\"integer\",min:-1,dflt:0},showactive:{valType:\"boolean\",dflt:!0},buttons:c,x:{valType:\"number\",min:-2,max:3,dflt:-.05},xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"right\"},y:{valType:\"number\",min:-2,max:3,dflt:1},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"top\"},pad:a(s({editType:\"arraydraw\"}),{}),font:n({}),bgcolor:{valType:\"color\"},bordercolor:{valType:\"color\",dflt:i.borderLine},borderwidth:{valType:\"number\",min:0,dflt:1,editType:\"arraydraw\"}}),\"arraydraw\",\"from-root\")},71559:function(t){\"use strict\";t.exports={name:\"updatemenus\",containerClassName:\"updatemenu-container\",headerGroupClassName:\"updatemenu-header-group\",headerClassName:\"updatemenu-header\",headerArrowClassName:\"updatemenu-header-arrow\",dropdownButtonGroupClassName:\"updatemenu-dropdown-button-group\",dropdownButtonClassName:\"updatemenu-dropdown-button\",buttonClassName:\"updatemenu-button\",itemRectClassName:\"updatemenu-item-rect\",itemTextClassName:\"updatemenu-item-text\",menuIndexAttrName:\"updatemenu-active-index\",autoMarginIdRoot:\"updatemenu-\",blankHeaderOpts:{label:\"  \"},minWidth:30,minHeight:30,textPadX:24,arrowPadX:16,rx:2,ry:2,textOffsetX:12,textOffsetY:3,arrowOffsetX:4,gapButtonHeader:5,gapButton:2,activeColor:\"#F4FAFF\",hoverColor:\"#F4FAFF\",arrowSymbol:{left:\"◄\",right:\"►\",up:\"▲\",down:\"▼\"}}},42746:function(t,e,r){\"use strict\";var n=r(34809),i=r(59008),a=r(85389),o=r(71559).name,s=a.buttons;function l(t,e,r){function o(r,i){return n.coerce(t,e,a,r,i)}o(\"visible\",i(t,e,{name:\"buttons\",handleItemDefaults:c}).length>0)&&(o(\"active\"),o(\"direction\"),o(\"type\"),o(\"showactive\"),o(\"x\"),o(\"y\"),n.noneOrAll(t,e,[\"x\",\"y\"]),o(\"xanchor\"),o(\"yanchor\"),o(\"pad.t\"),o(\"pad.r\"),o(\"pad.b\"),o(\"pad.l\"),n.coerceFont(o,\"font\",r.font),o(\"bgcolor\",r.paper_bgcolor),o(\"bordercolor\"),o(\"borderwidth\"))}function c(t,e){function r(r,i){return n.coerce(t,e,s,r,i)}r(\"visible\",\"skip\"===t.method||Array.isArray(t.args))&&(r(\"method\"),r(\"args\"),r(\"args2\"),r(\"label\"),r(\"execute\"))}t.exports=function(t,e){i(t,e,{name:o,handleItemDefaults:l})}},40974:function(t,e,r){\"use strict\";var n=r(45568),i=r(44122),a=r(78766),o=r(62203),s=r(34809),l=r(30635),c=r(78032).arrayEditor,u=r(4530).LINE_SPACING,h=r(71559),f=r(21736);function p(t){return t._index}function d(t,e){return+t.attr(h.menuIndexAttrName)===e._index}function m(t,e,r,n,i,a,o,s){e.active=o,c(t.layout,h.name,e).applyUpdate(\"active\",o),\"buttons\"===e.type?y(t,n,null,null,e):\"dropdown\"===e.type&&(i.attr(h.menuIndexAttrName,\"-1\"),g(t,n,i,a,e),s||y(t,n,i,a,e))}function g(t,e,r,n,i){var a=s.ensureSingle(e,\"g\",h.headerClassName,(function(t){t.style(\"pointer-events\",\"all\")})),l=i._dims,c=i.active,u=i.buttons[c]||h.blankHeaderOpts,f={y:i.pad.t,yPad:0,x:i.pad.l,xPad:0,index:0},p={width:l.headerWidth,height:l.headerHeight};a.call(v,i,u,t).call(M,i,f,p),s.ensureSingle(e,\"text\",h.headerArrowClassName,(function(t){t.attr(\"text-anchor\",\"end\").call(o.font,i.font).text(h.arrowSymbol[i.direction])})).attr({x:l.headerWidth-h.arrowOffsetX+i.pad.l,y:l.headerHeight/2+h.textOffsetY+i.pad.t}),a.on(\"click\",(function(){r.call(S,String(d(r,i)?-1:i._index)),y(t,e,r,n,i)})),a.on(\"mouseover\",(function(){a.call(w)})),a.on(\"mouseout\",(function(){a.call(T,i)})),o.setTranslate(e,l.lx,l.ly)}function y(t,e,r,a,o){r||(r=e).attr(\"pointer-events\",\"all\");var l=function(t){return-1==+t.attr(h.menuIndexAttrName)}(r)&&\"buttons\"!==o.type?[]:o.buttons,c=\"dropdown\"===o.type?h.dropdownButtonClassName:h.buttonClassName,u=r.selectAll(\"g.\"+c).data(s.filterVisible(l)),f=u.enter().append(\"g\").classed(c,!0),p=u.exit();\"dropdown\"===o.type?(f.attr(\"opacity\",\"0\").transition().attr(\"opacity\",\"1\"),p.transition().attr(\"opacity\",\"0\").remove()):p.remove();var d=0,g=0,y=o._dims,x=-1!==[\"up\",\"down\"].indexOf(o.direction);\"dropdown\"===o.type&&(x?g=y.headerHeight+h.gapButtonHeader:d=y.headerWidth+h.gapButtonHeader),\"dropdown\"===o.type&&\"up\"===o.direction&&(g=-h.gapButtonHeader+h.gapButton-y.openHeight),\"dropdown\"===o.type&&\"left\"===o.direction&&(d=-h.gapButtonHeader+h.gapButton-y.openWidth);var _={x:y.lx+d+o.pad.l,y:y.ly+g+o.pad.t,yPad:h.gapButton,xPad:h.gapButton,index:0},k={l:_.x+o.borderwidth,t:_.y+o.borderwidth};u.each((function(s,l){var c=n.select(this);c.call(v,o,s,t).call(M,o,_),c.on(\"click\",(function(){n.event.defaultPrevented||(s.execute&&(s.args2&&o.active===l?(m(t,o,0,e,r,a,-1),i.executeAPICommand(t,s.method,s.args2)):(m(t,o,0,e,r,a,l),i.executeAPICommand(t,s.method,s.args))),t.emit(\"plotly_buttonclicked\",{menu:o,button:s,active:o.active}))})),c.on(\"mouseover\",(function(){c.call(w)})),c.on(\"mouseout\",(function(){c.call(T,o),u.call(b,o)}))})),u.call(b,o),x?(k.w=Math.max(y.openWidth,y.headerWidth),k.h=_.y-k.t):(k.w=_.x-k.l,k.h=Math.max(y.openHeight,y.headerHeight)),k.direction=o.direction,a&&(u.size()?function(t,e,r,n,i,a){var o,s,l,c=i.direction,u=\"up\"===c||\"down\"===c,f=i._dims,p=i.active;if(u)for(s=0,l=0;l<p;l++)s+=f.heights[l]+h.gapButton;else for(o=0,l=0;l<p;l++)o+=f.widths[l]+h.gapButton;n.enable(a,o,s),n.hbar&&n.hbar.attr(\"opacity\",\"0\").transition().attr(\"opacity\",\"1\"),n.vbar&&n.vbar.attr(\"opacity\",\"0\").transition().attr(\"opacity\",\"1\")}(0,0,0,a,o,k):function(t){var e=!!t.hbar,r=!!t.vbar;e&&t.hbar.transition().attr(\"opacity\",\"0\").each(\"end\",(function(){e=!1,r||t.disable()})),r&&t.vbar.transition().attr(\"opacity\",\"0\").each(\"end\",(function(){r=!1,e||t.disable()}))}(a))}function v(t,e,r,n){t.call(x,e).call(_,e,r,n)}function x(t,e){s.ensureSingle(t,\"rect\",h.itemRectClassName,(function(t){t.attr({rx:h.rx,ry:h.ry,\"shape-rendering\":\"crispEdges\"})})).call(a.stroke,e.bordercolor).call(a.fill,e.bgcolor).style(\"stroke-width\",e.borderwidth+\"px\")}function _(t,e,r,n){var i=s.ensureSingle(t,\"text\",h.itemTextClassName,(function(t){t.attr({\"text-anchor\":\"start\",\"data-notex\":1})})),a=r.label,c=n._fullLayout._meta;c&&(a=s.templateString(a,c)),i.call(o.font,e.font).text(a).call(l.convertToTspans,n)}function b(t,e){var r=e.active;t.each((function(t,i){var o=n.select(this);i===r&&e.showactive&&o.select(\"rect.\"+h.itemRectClassName).call(a.fill,h.activeColor)}))}function w(t){t.select(\"rect.\"+h.itemRectClassName).call(a.fill,h.hoverColor)}function T(t,e){t.select(\"rect.\"+h.itemRectClassName).call(a.fill,e.bgcolor)}function k(t,e){var r=e._dims={width1:0,height1:0,heights:[],widths:[],totalWidth:0,totalHeight:0,openWidth:0,openHeight:0,lx:0,ly:0},a=o.tester.selectAll(\"g.\"+h.dropdownButtonClassName).data(s.filterVisible(e.buttons));a.enter().append(\"g\").classed(h.dropdownButtonClassName,!0);var c=-1!==[\"up\",\"down\"].indexOf(e.direction);a.each((function(i,a){var s=n.select(this);s.call(v,e,i,t);var f=s.select(\".\"+h.itemTextClassName),p=f.node()&&o.bBox(f.node()).width,d=Math.max(p+h.textPadX,h.minWidth),m=e.font.size*u,g=l.lineCount(f),y=Math.max(m*g,h.minHeight)+h.textOffsetY;y=Math.ceil(y),d=Math.ceil(d),r.widths[a]=d,r.heights[a]=y,r.height1=Math.max(r.height1,y),r.width1=Math.max(r.width1,d),c?(r.totalWidth=Math.max(r.totalWidth,d),r.openWidth=r.totalWidth,r.totalHeight+=y+h.gapButton,r.openHeight+=y+h.gapButton):(r.totalWidth+=d+h.gapButton,r.openWidth+=d+h.gapButton,r.totalHeight=Math.max(r.totalHeight,y),r.openHeight=r.totalHeight)})),c?r.totalHeight-=h.gapButton:r.totalWidth-=h.gapButton,r.headerWidth=r.width1+h.arrowPadX,r.headerHeight=r.height1,\"dropdown\"===e.type&&(c?(r.width1+=h.arrowPadX,r.totalHeight=r.height1):r.totalWidth=r.width1,r.totalWidth+=h.arrowPadX),a.remove();var f=r.totalWidth+e.pad.l+e.pad.r,p=r.totalHeight+e.pad.t+e.pad.b,d=t._fullLayout._size;r.lx=d.l+d.w*e.x,r.ly=d.t+d.h*(1-e.y);var 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f(t,c,x);l.enter().size()&&(c.node().parentNode.appendChild(c.node()),c.call(S)),l.exit().each((function(t){c.call(S),a(t)})).remove(),l.each((function(e){var r=n.select(this),a=\"dropdown\"===e.type?c:null;i.manageCommandObserver(t,e,e.buttons,(function(n){m(t,e,e.buttons[n.index],r,a,_,n.index,!0)})),\"dropdown\"===e.type?(g(t,r,c,_,e),d(c,e)&&y(t,r,c,_,e)):y(t,r,null,null,e)}))}}},46230:function(t,e,r){\"use strict\";var n=r(71559);t.exports={moduleType:\"component\",name:n.name,layoutAttributes:r(85389),supplyLayoutDefaults:r(42746),draw:r(40974)}},21736:function(t,e,r){\"use strict\";t.exports=s;var n=r(45568),i=r(78766),a=r(62203),o=r(34809);function s(t,e,r){this.gd=t,this.container=e,this.id=r,this.position=null,this.translateX=null,this.translateY=null,this.hbar=null,this.vbar=null,this.bg=this.container.selectAll(\"rect.scrollbox-bg\").data([0]),this.bg.exit().on(\".drag\",null).on(\"wheel\",null).remove(),this.bg.enter().append(\"rect\").classed(\"scrollbox-bg\",!0).style(\"pointer-events\",\"all\").attr({opacity:0,x:0,y:0,width:0,height:0})}s.barWidth=2,s.barLength=20,s.barRadius=2,s.barPad=1,s.barColor=\"#808BA4\",s.prototype.enable=function(t,e,r){var o=this.gd._fullLayout,l=o.width,c=o.height;this.position=t;var u,h,f,p,d=this.position.l,m=this.position.w,g=this.position.t,y=this.position.h,v=this.position.direction,x=\"down\"===v,_=\"left\"===v,b=\"up\"===v,w=m,T=y;x||_||\"right\"===v||b||(this.position.direction=\"down\",x=!0),x||b?(h=(u=d)+w,x?(f=g,T=(p=Math.min(f+T,c))-f):T=(p=g+T)-(f=Math.max(p-T,0))):(p=(f=g)+T,_?w=(h=d+w)-(u=Math.max(h-w,0)):(u=d,w=(h=Math.min(u+w,l))-u)),this._box={l:u,t:f,w:w,h:T};var k=m>w,A=s.barLength+2*s.barPad,M=s.barWidth+2*s.barPad,S=d,E=g+y;E+M>c&&(E=c-M);var C=this.container.selectAll(\"rect.scrollbar-horizontal\").data(k?[0]:[]);C.exit().on(\".drag\",null).remove(),C.enter().append(\"rect\").classed(\"scrollbar-horizontal\",!0).call(i.fill,s.barColor),k?(this.hbar=C.attr({rx:s.barRadius,ry:s.barRadius,x:S,y:E,width:A,height:M}),this._hbarXMin=S+A/2,this._hbarTranslateMax=w-A):(delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax);var L=y>T,I=s.barWidth+2*s.barPad,P=s.barLength+2*s.barPad,z=d+m,O=g;z+I>l&&(z=l-I);var D=this.container.selectAll(\"rect.scrollbar-vertical\").data(L?[0]:[]);D.exit().on(\".drag\",null).remove(),D.enter().append(\"rect\").classed(\"scrollbar-vertical\",!0).call(i.fill,s.barColor),L?(this.vbar=D.attr({rx:s.barRadius,ry:s.barRadius,x:z,y:O,width:I,height:P}),this._vbarYMin=O+P/2,this._vbarTranslateMax=T-P):(delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax);var R=this.id,F=u-.5,B=L?h+I+.5:h+.5,N=f-.5,j=k?p+M+.5:p+.5,U=o._topdefs.selectAll(\"#\"+R).data(k||L?[0]:[]);if(U.exit().remove(),U.enter().append(\"clipPath\").attr(\"id\",R).append(\"rect\"),k||L?(this._clipRect=U.select(\"rect\").attr({x:Math.floor(F),y:Math.floor(N),width:Math.ceil(B)-Math.floor(F),height:Math.ceil(j)-Math.floor(N)}),this.container.call(a.setClipUrl,R,this.gd),this.bg.attr({x:d,y:g,width:m,height:y})):(this.bg.attr({width:0,height:0}),this.container.on(\"wheel\",null).on(\".drag\",null).call(a.setClipUrl,null),delete this._clipRect),k||L){var V=n.behavior.drag().on(\"dragstart\",(function(){n.event.sourceEvent.preventDefault()})).on(\"drag\",this._onBoxDrag.bind(this));this.container.on(\"wheel\",null).on(\"wheel\",this._onBoxWheel.bind(this)).on(\".drag\",null).call(V);var q=n.behavior.drag().on(\"dragstart\",(function(){n.event.sourceEvent.preventDefault(),n.event.sourceEvent.stopPropagation()})).on(\"drag\",this._onBarDrag.bind(this));k&&this.hbar.on(\".drag\",null).call(q),L&&this.vbar.on(\".drag\",null).call(q)}this.setTranslate(e,r)},s.prototype.disable=function(){(this.hbar||this.vbar)&&(this.bg.attr({width:0,height:0}),this.container.on(\"wheel\",null).on(\".drag\",null).call(a.setClipUrl,null),delete this._clipRect),this.hbar&&(this.hbar.on(\".drag\",null),this.hbar.remove(),delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax),this.vbar&&(this.vbar.on(\".drag\",null),this.vbar.remove(),delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax)},s.prototype._onBoxDrag=function(){var t=this.translateX,e=this.translateY;this.hbar&&(t-=n.event.dx),this.vbar&&(e-=n.event.dy),this.setTranslate(t,e)},s.prototype._onBoxWheel=function(){var t=this.translateX,e=this.translateY;this.hbar&&(t+=n.event.deltaY),this.vbar&&(e+=n.event.deltaY),this.setTranslate(t,e)},s.prototype._onBarDrag=function(){var t=this.translateX,e=this.translateY;if(this.hbar){var r=t+this._hbarXMin,i=r+this._hbarTranslateMax;t=(o.constrain(n.event.x,r,i)-r)/(i-r)*(this.position.w-this._box.w)}if(this.vbar){var a=e+this._vbarYMin,s=a+this._vbarTranslateMax;e=(o.constrain(n.event.y,a,s)-a)/(s-a)*(this.position.h-this._box.h)}this.setTranslate(t,e)},s.prototype.setTranslate=function(t,e){var r=this.position.w-this._box.w,n=this.position.h-this._box.h;if(t=o.constrain(t||0,0,r),e=o.constrain(e||0,0,n),this.translateX=t,this.translateY=e,this.container.call(a.setTranslate,this._box.l-this.position.l-t,this._box.t-this.position.t-e),this._clipRect&&this._clipRect.attr({x:Math.floor(this.position.l+t-.5),y:Math.floor(this.position.t+e-.5)}),this.hbar){var i=t/r;this.hbar.call(a.setTranslate,t+i*this._hbarTranslateMax,e)}if(this.vbar){var s=e/n;this.vbar.call(a.setTranslate,t,e+s*this._vbarTranslateMax)}}},4530:function(t){\"use strict\";t.exports={FROM_BL:{left:0,center:.5,right:1,bottom:0,middle:.5,top:1},FROM_TL:{left:0,center:.5,right:1,bottom:1,middle:.5,top:0},FROM_BR:{left:1,center:.5,right:0,bottom:0,middle:.5,top:1},LINE_SPACING:1.3,CAP_SHIFT:.7,MID_SHIFT:.35,OPPOSITE_SIDE:{left:\"right\",right:\"left\",top:\"bottom\",bottom:\"top\"}}},35081:function(t){\"use strict\";t.exports={axisRefDescription:function(t,e,r){return[\"If set to a\",t,\"axis id (e.g. *\"+t+\"* or\",\"*\"+t+\"2*), the `\"+t+\"` position refers to a\",t,\"coordinate. 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y=n/(h[2]-h[0])*(l[2]-l[0])+l[0],v=i/(h[3]-h[1])*(l[3]-l[1])+l[1];c.boxInited||(c.boxStart[0]=y,c.boxStart[1]=v,c.dragStart[0]=n,c.dragStart[1]=i),c.boxEnd[0]=y,c.boxEnd[1]=v,c.boxInited=!0,c.boxEnabled||c.boxStart[0]===c.boxEnd[0]&&c.boxStart[1]===c.boxEnd[1]||(c.boxEnabled=!0);var x=Math.abs(c.dragStart[0]-n)<m,_=Math.abs(c.dragStart[1]-i)<m;if(!function(){for(var e=t.graphDiv._fullLayout._axisConstraintGroups,r=t.xaxis._id,n=t.yaxis._id,i=0;i<e.length;i++)if(-1!==e[i][r]){if(-1!==e[i][n])return!0;break}return!1}()||x&&_)x&&(c.boxEnd[0]=c.boxStart[0]),_&&(c.boxEnd[1]=c.boxStart[1]);else{a=c.boxEnd[0]-c.boxStart[0],s=c.boxEnd[1]-c.boxStart[1];var b=(l[3]-l[1])/(l[2]-l[0]);Math.abs(a*b)>Math.abs(s)?(c.boxEnd[1]=c.boxStart[1]+Math.abs(a)*b*(s>=0?1:-1),c.boxEnd[1]<l[1]?(c.boxEnd[1]=l[1],c.boxEnd[0]=c.boxStart[0]+(l[1]-c.boxStart[1])/Math.abs(b)):c.boxEnd[1]>l[3]&&(c.boxEnd[1]=l[3],c.boxEnd[0]=c.boxStart[0]+(l[3]-c.boxStart[1])/Math.abs(b))):(c.boxEnd[0]=c.boxStart[0]+Math.abs(s)/b*(a>=0?1:-1),c.boxEnd[0]<l[0]?(c.boxEnd[0]=l[0],c.boxEnd[1]=c.boxStart[1]+(l[0]-c.boxStart[0])*Math.abs(b)):c.boxEnd[0]>l[2]&&(c.boxEnd[0]=l[2],c.boxEnd[1]=c.boxStart[1]+(l[2]-c.boxStart[0])*Math.abs(b)))}}else c.boxEnabled?(a=c.boxStart[0]!==c.boxEnd[0],s=c.boxStart[1]!==c.boxEnd[1],a||s?(a&&(g(0,c.boxStart[0],c.boxEnd[0]),t.xaxis.autorange=!1),s&&(g(1,c.boxStart[1],c.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),c.boxEnabled=!1,c.boxInited=!1):c.boxInited&&(c.boxInited=!1);break;case\"pan\":c.boxEnabled=!1,c.boxInited=!1,e?(c.panning||(c.dragStart[0]=n,c.dragStart[1]=i),Math.abs(c.dragStart[0]-n)<d&&(n=c.dragStart[0]),Math.abs(c.dragStart[1]-i)<d&&(i=c.dragStart[1]),a=(f-n)*(l[2]-l[0])/(r.viewBox[2]-r.viewBox[0]),s=(p-i)*(l[3]-l[1])/(r.viewBox[3]-r.viewBox[1]),l[0]+=a,l[2]+=a,l[1]+=s,l[3]+=s,t.setRanges(l),c.panning=!0,c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations()):c.panning&&(c.panning=!1,t.relayoutCallback())}c.lastPos[0]=n,c.lastPos[1]=i}return c.mouseListener=n(e,h),e.addEventListener(\"touchstart\",(function(t){var r=a(t.changedTouches[0],e);h(0,r[0],r[1]),h(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchmove\",(function(t){t.preventDefault();var r=a(t.changedTouches[0],e);h(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchend\",(function(t){h(0,c.lastPos[0],c.lastPos[1]),t.preventDefault()}),!!s&&{passive:!1}),c.wheelListener=i(e,(function(e,n){if(!t.scrollZoom)return!1;var i=t.calcDataBox(),a=r.viewBox,o=c.lastPos[0],s=c.lastPos[1],l=Math.exp(5*n/(a[3]-a[1])),h=o/(a[2]-a[0])*(i[2]-i[0])+i[0],f=s/(a[3]-a[1])*(i[3]-i[1])+i[1];return i[0]=(i[0]-h)*l+h,i[2]=(i[2]-h)*l+h,i[1]=(i[1]-f)*l+f,i[3]=(i[3]-f)*l+f,t.setRanges(i),c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0}),!0),c}},10749:function(t,e,r){\"use strict\";var n=r(29714),i=r(55010);function a(t){this.scene=t,this.gl=t.gl,this.pixelRatio=t.pixelRatio,this.screenBox=[0,0,1,1],this.viewBox=[0,0,1,1],this.dataBox=[-1,-1,1,1],this.borderLineEnable=[!1,!1,!1,!1],this.borderLineWidth=[1,1,1,1],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.ticks=[[],[]],this.tickEnable=[!0,!0,!1,!1],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labels=[\"x\",\"y\"],this.labelEnable=[!0,!0,!1,!1],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelPad=[15,15,15,15],this.labelSize=[12,12],this.labelFont=[\"sans-serif\",\"sans-serif\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.title=\"\",this.titleEnable=!0,this.titleCenter=[0,0,0,0],this.titleAngle=0,this.titleColor=[0,0,0,1],this.titleFont=\"sans-serif\",this.titleSize=18,this.gridLineEnable=[!0,!0],this.gridLineColor=[[0,0,0,.5],[0,0,0,.5]],this.gridLineWidth=[1,1],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[1,1],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.static=this.scene.staticPlot}var o=a.prototype,s=[\"xaxis\",\"yaxis\"];o.merge=function(t){var e,r,n,a,o,l,c,u,h,f,p;for(this.titleEnable=!1,this.backgroundColor=i(t.plot_bgcolor),f=0;f<2;++f){var d=(e=s[f]).charAt(0);for(n=(r=t[this.scene[e]._name]).title.text===this.scene.fullLayout._dfltTitle[d]?\"\":r.title.text,p=0;p<=2;p+=2)this.labelEnable[f+p]=!1,this.labels[f+p]=n,this.labelColor[f+p]=i(r.title.font.color),this.labelFont[f+p]=r.title.font.family,this.labelSize[f+p]=r.title.font.size,this.labelPad[f+p]=this.getLabelPad(e,r),this.tickEnable[f+p]=!1,this.tickColor[f+p]=i((r.tickfont||{}).color),this.tickAngle[f+p]=\"auto\"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[f+p]=this.getTickPad(r),this.tickMarkLength[f+p]=0,this.tickMarkWidth[f+p]=r.tickwidth||0,this.tickMarkColor[f+p]=i(r.tickcolor),this.borderLineEnable[f+p]=!1,this.borderLineColor[f+p]=i(r.linecolor),this.borderLineWidth[f+p]=r.linewidth||0;c=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!c,l=this.hasAxisInAltrPos(e,r)&&!c,a=r.mirror||!1,u=c?-1!==String(a).indexOf(\"all\"):!!a,h=c?\"allticks\"===a:-1!==String(a).indexOf(\"ticks\"),o?this.labelEnable[f]=!0:l&&(this.labelEnable[f+2]=!0),o?this.tickEnable[f]=r.showticklabels:l&&(this.tickEnable[f+2]=r.showticklabels),(o||u)&&(this.borderLineEnable[f]=r.showline),(l||u)&&(this.borderLineEnable[f+2]=r.showline),(o||h)&&(this.tickMarkLength[f]=this.getTickMarkLength(r)),(l||h)&&(this.tickMarkLength[f+2]=this.getTickMarkLength(r)),this.gridLineEnable[f]=r.showgrid,this.gridLineColor[f]=i(r.gridcolor),this.gridLineWidth[f]=r.gridwidth,this.zeroLineEnable[f]=r.zeroline,this.zeroLineColor[f]=i(r.zerolinecolor),this.zeroLineWidth[f]=r.zerolinewidth}},o.hasSharedAxis=function(t){var e=this.scene,r=e.fullLayout._subplots.gl2d;return 0!==n.findSubplotsWithAxis(r,t).indexOf(e.id)},o.hasAxisInDfltPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"bottom\"===r:\"yaxis\"===t?\"left\"===r:void 0},o.hasAxisInAltrPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"top\"===r:\"yaxis\"===t?\"right\"===r:void 0},o.getLabelPad=function(t,e){var r=1.5,n=e.title.font.size,i=e.showticklabels;return\"xaxis\"===t?\"top\"===e.side?n*(r+(i?1:0))-10:n*(r+(i?.5:0))-10:\"yaxis\"===t?\"right\"===e.side?10+n*(r+(i?1:.5)):10+n*(r+(i?.5:0)):void 0},o.getTickPad=function(t){return\"outside\"===t.ticks?10+t.ticklen:15},o.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return\"inside\"===t.ticks?-e:e},t.exports=function(t){return new a(t)}},24585:function(t,e,r){\"use strict\";var n=r(13582).overrideAll,i=r(27672),a=r(6704),o=r(62972),s=r(54826),l=r(37703),c=r(6811),u=r(4173).KO;e.name=\"gl2d\",e.attr=[\"xaxis\",\"yaxis\"],e.idRoot=[\"x\",\"y\"],e.idRegex=s.idRegex,e.attrRegex=s.attrRegex,e.attributes=r(55126),e.supplyLayoutDefaults=function(t,e,r){e._has(\"cartesian\")||l.supplyLayoutDefaults(t,e,r)},e.layoutAttrOverrides=n(l.layoutAttributes,\"plot\",\"from-root\"),e.baseLayoutAttrOverrides=n({plot_bgcolor:a.plot_bgcolor,hoverlabel:c.hoverlabel},\"plot\",\"nested\"),e.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,a=0;a<n.length;a++){var o=n[a],s=e._plots[o],l=u(r,\"gl2d\",o),c=s._scene2d;void 0===c&&(c=new i({id:o,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=c),c.plot(l,t.calcdata,e,t.layout)}},e.clean=function(t,e,r,n){for(var i=n._subplots.gl2d||[],a=0;a<i.length;a++){var o=i[a],s=n._plots[o];s._scene2d&&0===u(t,\"gl2d\",o).length&&(s._scene2d.destroy(),delete n._plots[o])}l.clean.apply(this,arguments)},e.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},e.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var i=e._plots[r[n]]._scene2d,a=i.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":a,x:0,y:0,width:\"100%\",height:\"100%\",preserveAspectRatio:\"none\"}),i.destroy()}},e.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++)e._plots[r[n]]._scene2d.updateFx(e.dragmode)}},27672:function(t,e,r){\"use strict\";var n,i,a=r(33626),o=r(29714),s=r(32141),l=r(99098).gl_plot2d,c=r(99098).gl_spikes2d,u=r(99098).gl_select_box,h=r(22248),f=r(10749),p=r(77055),d=r(97464),m=r(84391),g=m.enforce,y=m.clean,v=r(32919).doAutoRange,x=r(70414),_=x.drawMode,b=x.selectMode,w=[\"xaxis\",\"yaxis\"],T=r(54826).SUBPLOT_PATTERN;function k(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context._scrollZoom.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=f(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=c(this.glplot),this.selectBox=u(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}t.exports=k;var A=k.prototype;A.makeFramework=function(){if(this.staticPlot){if(!(i||(n=document.createElement(\"canvas\"),i=h({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"Error creating static canvas/context for image server\");this.canvas=n,this.gl=i}else{var t=this.container.querySelector(\".gl-canvas-focus\"),e=h({canvas:t,preserveDrawingBuffer:!0,premultipliedAlpha:!0});if(!e)return d(this),void(this.stopped=!0);this.canvas=t,this.gl=e}var r=this.canvas;r.style.width=\"100%\",r.style.height=\"100%\",r.style.position=\"absolute\",r.style.top=\"0px\",r.style.left=\"0px\",r.style[\"pointer-events\"]=\"none\",this.updateSize(r);var a=this.svgContainer=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");a.style.position=\"absolute\",a.style.top=a.style.left=\"0px\",a.style.width=a.style.height=\"100%\",a.style[\"z-index\"]=20,a.style[\"pointer-events\"]=\"none\";var o=this.mouseContainer=document.createElement(\"div\");o.style.position=\"absolute\",o.style[\"pointer-events\"]=\"auto\",this.pickCanvas=this.container.querySelector(\".gl-canvas-pick\");var s=this.container;s.appendChild(a),s.appendChild(o);var l=this;o.addEventListener(\"mouseout\",(function(){l.isMouseOver=!1,l.unhover()})),o.addEventListener(\"mouseover\",(function(){l.isMouseOver=!0}))},A.toImage=function(t){t||(t=\"png\"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a);for(var o=0,s=i-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var c=0;c<4;++c){var u=a[4*(r*o+l)+c];a[4*(r*o+l)+c]=a[4*(r*s+l)+c],a[4*(r*s+l)+c]=u}var h=document.createElement(\"canvas\");h.width=r,h.height=i;var f,p=h.getContext(\"2d\",{willReadFrequently:!0}),d=p.createImageData(r,i);switch(d.data.set(a),p.putImageData(d,0,0),t){case\"jpeg\":f=h.toDataURL(\"image/jpeg\");break;case\"webp\":f=h.toDataURL(\"image/webp\");break;default:f=h.toDataURL(\"image/png\")}return this.staticPlot&&this.container.removeChild(n),f},A.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,i=r.height,a=0|Math.ceil(e*n),o=0|Math.ceil(e*i);return t.width===a&&t.height===o||(t.width=a,t.height=o),t},A.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+\"\";return t},A.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(T),r=\"xaxis\"+e[1],n=\"yaxis\"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},A.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,i={},o=i[e._name+\".range\"]=e.range.slice(),s=i[r._name+\".range\"]=r.range.slice();i[e._name+\".autorange\"]=e.autorange,i[r._name+\".autorange\"]=r.autorange,a.call(\"_storeDirectGUIEdit\",t.layout,t._fullLayout._preGUI,i);var l=n[e._name];l.range=o,l.autorange=e.autorange;var c=n[r._name];c.range=s,c.autorange=r.autorange,i.lastInputTime=this.camera.lastInputTime,t.emit(\"plotly_relayout\",i)},A.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;a<n.length;++a)if(n[a].x!==i[a].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},A.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&a.getComponentMethod(\"annotations\",\"drawOne\")(t,r)}},A.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map((function(e){t[e].dispose(),delete t[e]})),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null}},A.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var i=r.width,a=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,i,a];var s={_fullLayout:{_axisConstraintGroups:r._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis,_size:r._size}};y(s,this.xaxis),y(s,this.yaxis);var l,c,u=r._size,h=this.xaxis.domain,f=this.yaxis.domain;for(o.viewBox=[u.l+h[0]*u.w,u.b+f[0]*u.h,i-u.r-(1-h[1])*u.w,a-u.t-(1-f[1])*u.h],this.mouseContainer.style.width=u.w*(h[1]-h[0])+\"px\",this.mouseContainer.style.height=u.h*(f[1]-f[0])+\"px\",this.mouseContainer.height=u.h*(f[1]-f[0]),this.mouseContainer.style.left=u.l+h[0]*u.w+\"px\",this.mouseContainer.style.top=u.t+(1-f[1])*u.h+\"px\",c=0;c<2;++c)(l=this[w[c]])._length=o.viewBox[c+2]-o.viewBox[c],v(this.graphDiv,l),l.setScale();g(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},A.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,i=t.r2l,a=e.r2l;return[i(r[0]),a(n[0]),i(r[1]),a(n[1])]},A.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,i=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[i(t[1]),i(t[3])]},A.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if((i=t[n]).uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){i=t[r];var l=e[r],c=this.traces[i.uid];c?c.update(i,l):(c=i._module.plot(this,i,l),this.traces[i.uid]=c)}this.glplot.objects.sort((function(t,e){return t._trace.index-e._trace.index}))},A.updateFx=function(t){b(t)||_(t)?(this.pickCanvas.style[\"pointer-events\"]=\"none\",this.mouseContainer.style[\"pointer-events\"]=\"none\"):(this.pickCanvas.style[\"pointer-events\"]=\"auto\",this.mouseContainer.style[\"pointer-events\"]=\"auto\"),this.mouseContainer.style.cursor=\"pan\"===t?\"move\":\"zoom\"===t?\"crosshair\":null},A.emitPointAction=function(t,e){for(var r,n=t.trace.uid,i=t.pointIndex,a=0;a<this.fullData.length;a++)this.fullData[a].uid===n&&(r=this.fullData[a]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:i,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,i),this.graphDiv.emit(e,{points:[o]})},A.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,i=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var a,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&\"zoom\"===i.dragmode){this.selectBox.enabled=!0;for(var c=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],u=0;u<2;u++)e.boxStart[u]===e.boxEnd[u]&&(c[u]=t.dataBox[u],c[u+2]=t.dataBox[u+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var h=i._size,f=this.xaxis.domain,p=this.yaxis.domain,d=(a=t.pick(o/t.pixelRatio+h.l+f[0]*h.w,l/t.pixelRatio-(h.t+(1-p[1])*h.h)))&&a.object._trace.handlePick(a);if(d&&n&&this.emitPointAction(d,\"plotly_click\"),a&&\"skip\"!==a.object._trace.hoverinfo&&i.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var m=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),m.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,\"plotly_hover\");var g=this.fullData[m.trace.index]||{},y=m.pointIndex,v=s.castHoverinfo(g,i,y);if(v&&\"all\"!==v){var x=v.split(\"+\");-1===x.indexOf(\"x\")&&(m.traceCoord[0]=void 0),-1===x.indexOf(\"y\")&&(m.traceCoord[1]=void 0),-1===x.indexOf(\"z\")&&(m.traceCoord[2]=void 0),-1===x.indexOf(\"text\")&&(m.textLabel=void 0),-1===x.indexOf(\"name\")&&(m.name=void 0)}s.loneHover({x:m.screenCoord[0],y:m.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",m.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",m.traceCoord[1]),zLabel:m.traceCoord[2],text:m.textLabel,name:m.name,color:s.castHoverOption(g,y,\"bgcolor\")||m.color,borderColor:s.castHoverOption(g,y,\"bordercolor\"),fontFamily:s.castHoverOption(g,y,\"font.family\"),fontSize:s.castHoverOption(g,y,\"font.size\"),fontColor:s.castHoverOption(g,y,\"font.color\"),nameLength:s.castHoverOption(g,y,\"namelength\"),textAlign:s.castHoverOption(g,y,\"align\")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},A.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),s.loneUnhover(this.svgContainer))},A.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),\"hover\").text}}},2487:function(t,e,r){\"use strict\";var n=r(13582).overrideAll,i=r(6811),a=r(20299),o=r(4173).KO,s=r(34809),l=r(62972),c=\"gl3d\",u=\"scene\";e.name=c,e.attr=u,e.idRoot=u,e.idRegex=e.attrRegex=s.counterRegex(\"scene\"),e.attributes=r(22597),e.layoutAttributes=r(77168),e.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},\"plot\",\"nested\"),e.supplyLayoutDefaults=r(15250),e.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots[c],i=0;i<n.length;i++){var s=n[i],l=o(r,c,s),u=e[s],h=u.camera,f=u._scene;f||(f=new a({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:h},e),u._scene=f),f.viewInitial||(f.viewInitial={up:{x:h.up.x,y:h.up.y,z:h.up.z},eye:{x:h.eye.x,y:h.eye.y,z:h.eye.z},center:{x:h.center.x,y:h.center.y,z:h.center.z}}),f.plot(l,e,t.layout)}},e.clean=function(t,e,r,n){for(var i=n._subplots[c]||[],a=0;a<i.length;a++){var o=i[a];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+o).remove())}},e.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots[c],n=e._size,i=0;i<r.length;i++){var a=e[r[i]],o=a.domain,s=a._scene,u=s.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:l.svg,\"xlink:href\":u,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:\"none\"}),s.destroy()}},e.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),u+e}},e.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots[c],n=0;n<r.length;n++)e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}},22597:function(t){\"use strict\";t.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},63397:function(t,e,r){\"use strict\";var n=r(78766),i=r(25829),a=r(93049).extendFlat,o=r(13582).overrideAll;t.exports=o({visible:i.visible,showspikes:{valType:\"boolean\",dflt:!0},spikesides:{valType:\"boolean\",dflt:!0},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:n.defaultLine},showbackground:{valType:\"boolean\",dflt:!1},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 0.5)\"},showaxeslabels:{valType:\"boolean\",dflt:!0},color:i.color,categoryorder:i.categoryorder,categoryarray:i.categoryarray,title:{text:i.title.text,font:i.title.font},type:a({},i.type,{values:[\"-\",\"linear\",\"log\",\"date\",\"category\"]}),autotypenumbers:i.autotypenumbers,autorange:i.autorange,autorangeoptions:{minallowed:i.autorangeoptions.minallowed,maxallowed:i.autorangeoptions.maxallowed,clipmin:i.autorangeoptions.clipmin,clipmax:i.autorangeoptions.clipmax,include:i.autorangeoptions.include,editType:\"plot\"},rangemode:i.rangemode,minallowed:i.minallowed,maxallowed:i.maxallowed,range:a({},i.range,{items:[{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}}],anim:!1}),tickmode:i.minor.tickmode,nticks:i.nticks,tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,mirror:i.mirror,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,labelalias:i.labelalias,tickfont:i.tickfont,tickangle:i.tickangle,tickprefix:i.tickprefix,showtickprefix:i.showtickprefix,ticksuffix:i.ticksuffix,showticksuffix:i.showticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,minexponent:i.minexponent,separatethousands:i.separatethousands,tickformat:i.tickformat,tickformatstops:i.tickformatstops,hoverformat:i.hoverformat,showline:i.showline,linecolor:i.linecolor,linewidth:i.linewidth,showgrid:i.showgrid,gridcolor:a({},i.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:i.gridwidth,zeroline:i.zeroline,zerolinecolor:i.zerolinecolor,zerolinewidth:i.zerolinewidth,_deprecated:{title:i._deprecated.title,titlefont:i._deprecated.titlefont}},\"plot\",\"from-root\")},34258:function(t,e,r){\"use strict\";var n=r(65657).mix,i=r(34809),a=r(78032),o=r(63397),s=r(4392),l=r(97655),c=[\"xaxis\",\"yaxis\",\"zaxis\"];t.exports=function(t,e,r){var u,h;function f(t,e){return i.coerce(u,h,o,t,e)}for(var p=0;p<c.length;p++){var d=c[p];u=t[d]||{},(h=a.newContainer(e,d))._id=d[0]+r.scene,h._name=d,s(u,h,f,r),l(u,h,f,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noAutotickangles:!0,noTicklabelindex:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelshift:!0,noTicklabelstandoff:!0,noTicklabelstep:!0,noTicklabelposition:!0,noTicklabeloverflow:!0,noInsiderange:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),f(\"gridcolor\",n(h.color,r.bgColor,72.72727272727273).toRgbString()),f(\"title.text\",d[0]),h.setScale=i.noop,f(\"showspikes\")&&(f(\"spikesides\"),f(\"spikethickness\"),f(\"spikecolor\",h.color)),f(\"showaxeslabels\"),f(\"showbackground\")&&f(\"backgroundcolor\")}}},95701:function(t,e,r){\"use strict\";var n=r(55010),i=r(34809),a=[\"xaxis\",\"yaxis\",\"zaxis\"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickFontWeight=[\"normal\",\"normal\",\"normal\",\"normal\"],this.tickFontStyle=[\"normal\",\"normal\",\"normal\",\"normal\"],this.tickFontVariant=[\"normal\",\"normal\",\"normal\",\"normal\"],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"Open Sans\",\"Open Sans\",\"Open Sans\"],this.labelSize=[20,20,20],this.labelFontWeight=[\"normal\",\"normal\",\"normal\",\"normal\"],this.labelFontStyle=[\"normal\",\"normal\",\"normal\",\"normal\"],this.labelFontVariant=[\"normal\",\"normal\",\"normal\",\"normal\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var r=this,o=0;o<3;++o){var s=e[a[o]];s.visible?(r.labels[o]=t._meta?i.templateString(s.title.text,t._meta):s.title.text,\"font\"in s.title&&(s.title.font.color&&(r.labelColor[o]=n(s.title.font.color)),s.title.font.family&&(r.labelFont[o]=s.title.font.family),s.title.font.size&&(r.labelSize[o]=s.title.font.size),s.title.font.weight&&(r.labelFontWeight[o]=s.title.font.weight),s.title.font.style&&(r.labelFontStyle[o]=s.title.font.style),s.title.font.variant&&(r.labelFontVariant[o]=s.title.font.variant)),\"showline\"in s&&(r.lineEnable[o]=s.showline),\"linecolor\"in s&&(r.lineColor[o]=n(s.linecolor)),\"linewidth\"in s&&(r.lineWidth[o]=s.linewidth),\"showgrid\"in s&&(r.gridEnable[o]=s.showgrid),\"gridcolor\"in s&&(r.gridColor[o]=n(s.gridcolor)),\"gridwidth\"in s&&(r.gridWidth[o]=s.gridwidth),\"log\"===s.type?r.zeroEnable[o]=!1:\"zeroline\"in s&&(r.zeroEnable[o]=s.zeroline),\"zerolinecolor\"in s&&(r.zeroLineColor[o]=n(s.zerolinecolor)),\"zerolinewidth\"in s&&(r.zeroLineWidth[o]=s.zerolinewidth),\"ticks\"in s&&s.ticks?r.lineTickEnable[o]=!0:r.lineTickEnable[o]=!1,\"ticklen\"in s&&(r.lineTickLength[o]=r._defaultLineTickLength[o]=s.ticklen),\"tickcolor\"in s&&(r.lineTickColor[o]=n(s.tickcolor)),\"tickwidth\"in s&&(r.lineTickWidth[o]=s.tickwidth),\"tickangle\"in s&&(r.tickAngle[o]=\"auto\"===s.tickangle?-3600:Math.PI*-s.tickangle/180),\"showticklabels\"in s&&(r.tickEnable[o]=s.showticklabels),\"tickfont\"in s&&(s.tickfont.color&&(r.tickColor[o]=n(s.tickfont.color)),s.tickfont.family&&(r.tickFont[o]=s.tickfont.family),s.tickfont.size&&(r.tickSize[o]=s.tickfont.size),s.tickfont.weight&&(r.tickFontWeight[o]=s.tickfont.weight),s.tickfont.style&&(r.tickFontStyle[o]=s.tickfont.style),s.tickfont.variant&&(r.tickFontVariant[o]=s.tickfont.variant)),\"mirror\"in s?-1!==[\"ticks\",\"all\",\"allticks\"].indexOf(s.mirror)?(r.lineTickMirror[o]=!0,r.lineMirror[o]=!0):!0===s.mirror?(r.lineTickMirror[o]=!1,r.lineMirror[o]=!0):(r.lineTickMirror[o]=!1,r.lineMirror[o]=!1):r.lineMirror[o]=!1,\"showbackground\"in s&&!1!==s.showbackground?(r.backgroundEnable[o]=!0,r.backgroundColor[o]=n(s.backgroundcolor)):r.backgroundEnable[o]=!1):(r.tickEnable[o]=!1,r.labelEnable[o]=!1,r.lineEnable[o]=!1,r.lineTickEnable[o]=!1,r.gridEnable[o]=!1,r.zeroEnable[o]=!1,r.backgroundEnable[o]=!1)}},t.exports=function(t,e){var r=new o;return r.merge(t,e),r}},15250:function(t,e,r){\"use strict\";var n=r(34809),i=r(78766),a=r(33626),o=r(4448),s=r(34258),l=r(77168),c=r(4173).KO,u=\"gl3d\";function h(t,e,r,n){for(var o=r(\"bgcolor\"),l=i.combine(o,n.paper_bgcolor),h=[\"up\",\"center\",\"eye\"],f=0;f<h.length;f++)r(\"camera.\"+h[f]+\".x\"),r(\"camera.\"+h[f]+\".y\"),r(\"camera.\"+h[f]+\".z\");r(\"camera.projection.type\");var p=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),d=r(\"aspectmode\",p?\"manual\":\"auto\");p||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\"manual\"===d&&(e.aspectmode=\"auto\"),t.aspectmode=e.aspectmode);var m=c(n.fullData,u,n.id);s(t,e,{font:n.font,scene:n.id,data:m,bgColor:l,calendar:n.calendar,autotypenumbersDflt:n.autotypenumbersDflt,fullLayout:n.fullLayout}),a.getComponentMethod(\"annotations3d\",\"handleDefaults\")(t,e,n);var g=n.getDfltFromLayout(\"dragmode\");if(!1!==g&&!g)if(g=\"orbit\",t.camera&&t.camera.up){var y=t.camera.up.x,v=t.camera.up.y,x=t.camera.up.z;0!==x&&(y&&v&&x?x/Math.sqrt(y*y+v*v+x*x)>.999&&(g=\"turntable\"):g=\"turntable\")}else g=\"turntable\";r(\"dragmode\",g),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}t.exports=function(t,e,r){var i=e._basePlotModules.length>1;o(t,e,r,{type:u,attributes:l,handleDefaults:h,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!i)return n.validate(t[e],l[e])?t[e]:void 0},autotypenumbersDflt:e.autotypenumbers,paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},77168:function(t,e,r){\"use strict\";var n=r(63397),i=r(13792).u,a=r(93049).extendFlat,o=r(34809).counterRegex;function s(t,e,r){return{x:{valType:\"number\",dflt:t,editType:\"camera\"},y:{valType:\"number\",dflt:e,editType:\"camera\"},z:{valType:\"number\",dflt:r,editType:\"camera\"},editType:\"camera\"}}t.exports={_arrayAttrRegexps:[o(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:a(s(0,0,1),{}),center:a(s(0,0,0),{}),eye:a(s(1.25,1.25,1.25),{}),projection:{type:{valType:\"enumerated\",values:[\"perspective\",\"orthographic\"],dflt:\"perspective\",editType:\"calc\"},editType:\"calc\"},editType:\"camera\"},domain:i({name:\"scene\",editType:\"plot\"}),aspectmode:{valType:\"enumerated\",values:[\"auto\",\"cube\",\"data\",\"manual\"],dflt:\"auto\",editType:\"plot\",impliedEdits:{\"aspectratio.x\":void 0,\"aspectratio.y\":void 0,\"aspectratio.z\":void 0}},aspectratio:{x:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},y:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},z:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},editType:\"plot\",impliedEdits:{aspectmode:\"manual\"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],editType:\"plot\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},editType:\"plot\",_deprecated:{cameraposition:{valType:\"info_array\",editType:\"camera\"}}}},64087:function(t,e,r){\"use strict\";var n=r(55010),i=[\"xaxis\",\"yaxis\",\"zaxis\"];function a(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}a.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},t.exports=function(t){var e=new a;return e.merge(t),e}},32412:function(t,e,r){\"use strict\";t.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],c=0;c<3;++c){var u=s[a[c]];if(u._length=(r[c].hi-r[c].lo)*r[c].pixelsPerDataUnit/t.dataScale[c],Math.abs(u._length)===1/0||isNaN(u._length))l[c]=[];else{u._input_range=u.range.slice(),u.range[0]=r[c].lo/t.dataScale[c],u.range[1]=r[c].hi/t.dataScale[c],u._m=1/(t.dataScale[c]*r[c].pixelsPerDataUnit),u.range[0]===u.range[1]&&(u.range[0]-=1,u.range[1]+=1);var h=u.tickmode;if(\"auto\"===u.tickmode){u.tickmode=\"linear\";var f=u.nticks||i.constrain(u._length/40,4,9);n.autoTicks(u,Math.abs(u.range[1]-u.range[0])/f)}for(var p=n.calcTicks(u,{msUTC:!0}),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[c],\"date\"===u.type&&(p[d].text=p[d].text.replace(/\\<br\\>/g,\" \"));l[c]=p,u.tickmode=h}}for(e.ticks=l,c=0;c<3;++c)for(o[c]=.5*(t.glplot.bounds[0][c]+t.glplot.bounds[1][c]),d=0;d<2;++d)e.bounds[d][c]=t.glplot.bounds[d][c];t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;e[r]=i}return e}(l)};var n=r(29714),i=r(34809),a=[\"xaxis\",\"yaxis\",\"zaxis\"],o=[0,0,0]},25802:function(t){\"use strict\";function e(t,e){var r,n,i=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)i[n]+=t[4*r+n]*e[r];return i}t.exports=function(t,r){return e(t.projection,e(t.view,e(t.model,[r[0],r[1],r[2],1])))}},20299:function(t,e,r){\"use strict\";var n,i,a=r(99098).gl_plot3d,o=a.createCamera,s=a.createScene,l=r(22248),c=r(74043),u=r(33626),h=r(34809),f=h.preserveDrawingBuffer(),p=r(29714),d=r(32141),m=r(55010),g=r(97464),y=r(25802),v=r(95701),x=r(64087),_=r(32412),b=r(32919).applyAutorangeOptions,w=!1;function T(t,e){var r=document.createElement(\"div\"),n=t.container;this.graphDiv=t.graphDiv;var i=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");i.style.position=\"absolute\",i.style.top=i.style.left=\"0px\",i.style.width=i.style.height=\"100%\",i.style[\"z-index\"]=20,i.style[\"pointer-events\"]=\"none\",r.appendChild(i),this.svgContainer=i,r.id=t.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=e,this.id=t.id||\"scene\",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=v(e,e[this.id]),this.spikeOptions=x(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=u.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=u.getComponentMethod(\"annotations3d\",\"draw\"),this.initializeGLPlot()}var k=T.prototype;k.prepareOptions=function(){var t=this,e={canvas:t.canvas,gl:t.gl,glOptions:{preserveDrawingBuffer:f,premultipliedAlpha:!0,antialias:!0},container:t.container,axes:t.axesOptions,spikes:t.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:t.camera,pixelRatio:t.pixelRatio};if(t.staticMode){if(!(i||(n=document.createElement(\"canvas\"),i=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for image server\");e.gl=i,e.canvas=n}return e};var A=!0;k.tryCreatePlot=function(){var t=this,e=t.prepareOptions(),r=!0;try{t.glplot=s(e)}catch(n){if(t.staticMode||!A||f)r=!1;else{h.warn([\"webgl setup failed possibly due to\",\"false preserveDrawingBuffer config.\",\"The mobile/tablet device may not be detected by is-mobile module.\",\"Enabling preserveDrawingBuffer in second attempt to create webgl scene...\"].join(\" \"));try{f=e.glOptions.preserveDrawingBuffer=!0,t.glplot=s(e)}catch(t){f=e.glOptions.preserveDrawingBuffer=!1,r=!1}}}return A=!1,r},k.initializeGLCamera=function(){var t=this,e=t.fullSceneLayout.camera,r=\"orthographic\"===e.projection.type;t.camera=o(t.container,{center:[e.center.x,e.center.y,e.center.z],eye:[e.eye.x,e.eye.y,e.eye.z],up:[e.up.x,e.up.y,e.up.z],_ortho:r,zoomMin:.01,zoomMax:100,mode:\"orbit\"})},k.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return g(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+\".camera\"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+\".aspectratio\"]=t.glplot.getAspectratio(),\"manual\"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+\".aspectmode\"]=\"manual\")),e},i=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit(\"plotly_relayout\",e)}};return t.glplot.canvas&&(t.glplot.canvas.addEventListener(\"mouseup\",(function(){i(t)})),t.glplot.canvas.addEventListener(\"touchstart\",(function(){w=!0})),t.glplot.canvas.addEventListener(\"wheel\",(function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}}),!!c&&{passive:!1}),t.glplot.canvas.addEventListener(\"mousemove\",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit(\"plotly_relayouting\",e)}})),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",(function(r){e&&e.emit&&e.emit(\"plotly_webglcontextlost\",{event:r,layer:t.id})}),!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},k.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,i=e.container.getBoundingClientRect();r._fullLayout._calcInverseTransform(r);var a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+s+\" \"+l),n.setAttributeNS(null,\"width\",s),n.setAttributeNS(null,\"height\",l),_(e),e.glplot.axes.update(e.axesOptions);for(var c=Object.keys(e.traces),u=null,f=e.glplot.selection,m=0;m<c.length;++m)\"skip\"!==(t=e.traces[c[m]]).data.hoverinfo&&t.handlePick(f)&&(u=t),t.setContourLevels&&t.setContourLevels();function g(t,r,n){var i=e.fullSceneLayout[t+\"axis\"];return\"log\"!==i.type&&(r=i.d2l(r)),p.hoverLabelText(i,r,n)}if(null!==u){var v=y(e.glplot.cameraParams,f.dataCoordinate);t=u.data;var x,b=r._fullData[t.index],T=f.index,k={xLabel:g(\"x\",f.traceCoordinate[0],t.xhoverformat),yLabel:g(\"y\",f.traceCoordinate[1],t.yhoverformat),zLabel:g(\"z\",f.traceCoordinate[2],t.zhoverformat)},A=d.castHoverinfo(b,e.fullLayout,T),M=(A||\"\").split(\"+\"),S=A&&\"all\"===A;b.hovertemplate||S||(-1===M.indexOf(\"x\")&&(k.xLabel=void 0),-1===M.indexOf(\"y\")&&(k.yLabel=void 0),-1===M.indexOf(\"z\")&&(k.zLabel=void 0),-1===M.indexOf(\"text\")&&(f.textLabel=void 0),-1===M.indexOf(\"name\")&&(u.name=void 0));var E=[];\"cone\"===t.type||\"streamtube\"===t.type?(k.uLabel=g(\"x\",f.traceCoordinate[3],t.uhoverformat),(S||-1!==M.indexOf(\"u\"))&&E.push(\"u: \"+k.uLabel),k.vLabel=g(\"y\",f.traceCoordinate[4],t.vhoverformat),(S||-1!==M.indexOf(\"v\"))&&E.push(\"v: \"+k.vLabel),k.wLabel=g(\"z\",f.traceCoordinate[5],t.whoverformat),(S||-1!==M.indexOf(\"w\"))&&E.push(\"w: \"+k.wLabel),k.normLabel=f.traceCoordinate[6].toPrecision(3),(S||-1!==M.indexOf(\"norm\"))&&E.push(\"norm: \"+k.normLabel),\"streamtube\"===t.type&&(k.divergenceLabel=f.traceCoordinate[7].toPrecision(3),(S||-1!==M.indexOf(\"divergence\"))&&E.push(\"divergence: \"+k.divergenceLabel)),f.textLabel&&E.push(f.textLabel),x=E.join(\"<br>\")):\"isosurface\"===t.type||\"volume\"===t.type?(k.valueLabel=p.hoverLabelText(e._mockAxis,e._mockAxis.d2l(f.traceCoordinate[3]),t.valuehoverformat),E.push(\"value: \"+k.valueLabel),f.textLabel&&E.push(f.textLabel),x=E.join(\"<br>\")):x=f.textLabel;var C={x:f.traceCoordinate[0],y:f.traceCoordinate[1],z:f.traceCoordinate[2],data:b._input,fullData:b,curveNumber:b.index,pointNumber:T};d.appendArrayPointValue(C,b,T),t._module.eventData&&(C=b._module.eventData(C,f,b,{},T));var L={points:[C]};if(e.fullSceneLayout.hovermode){var I=[];d.loneHover({trace:b,x:(.5+.5*v[0]/v[3])*s,y:(.5-.5*v[1]/v[3])*l,xLabel:k.xLabel,yLabel:k.yLabel,zLabel:k.zLabel,text:x,name:u.name,color:d.castHoverOption(b,T,\"bgcolor\")||u.color,borderColor:d.castHoverOption(b,T,\"bordercolor\"),fontFamily:d.castHoverOption(b,T,\"font.family\"),fontSize:d.castHoverOption(b,T,\"font.size\"),fontColor:d.castHoverOption(b,T,\"font.color\"),nameLength:d.castHoverOption(b,T,\"namelength\"),textAlign:d.castHoverOption(b,T,\"align\"),hovertemplate:h.castOption(b,T,\"hovertemplate\"),hovertemplateLabels:h.extendFlat({},C,k),eventData:[C]},{container:n,gd:r,inOut_bbox:I}),C.bbox=I[0]}f.distance<5&&(f.buttons||w)?r.emit(\"plotly_click\",L):r.emit(\"plotly_hover\",L),this.oldEventData=L}else d.loneUnhover(n),this.oldEventData&&r.emit(\"plotly_unhover\",this.oldEventData),this.oldEventData=void 0;e.drawAnnotations(e)},k.recoverContext=function(){var t=this;t.glplot.dispose();var e=function(){t.glplot.gl.isContextLost()?requestAnimationFrame(e):t.initializeGLPlot()?t.plot.apply(t,t.plotArgs):h.error(\"Catastrophic and unrecoverable WebGL error. Context lost.\")};requestAnimationFrame(e)};var M=[\"xaxis\",\"yaxis\",\"zaxis\"];function S(t,e,r){for(var n=t.fullSceneLayout,i=0;i<3;i++){var a=M[i],o=a.charAt(0),s=n[a],l=e[o],c=e[o+\"calendar\"],u=e[\"_\"+o+\"length\"];if(h.isArrayOrTypedArray(l))for(var f,p=0;p<(u||l.length);p++)if(h.isArrayOrTypedArray(l[p]))for(var d=0;d<l[p].length;++d)f=s.d2l(l[p][d],0,c),!isNaN(f)&&isFinite(f)&&(r[0][i]=Math.min(r[0][i],f),r[1][i]=Math.max(r[1][i],f));else f=s.d2l(l[p],0,c),!isNaN(f)&&isFinite(f)&&(r[0][i]=Math.min(r[0][i],f),r[1][i]=Math.max(r[1][i],f));else r[0][i]=Math.min(r[0][i],0),r[1][i]=Math.max(r[1][i],u-1)}}k.plot=function(t,e,r){var n=this;if(n.plotArgs=[t,e,r],!n.glplot.contextLost){var i,a,o,s,l,c,u=e[n.id],h=r[n.id];n.fullLayout=e,n.fullSceneLayout=u,n.axesOptions.merge(e,u),n.spikeOptions.merge(u),n.setViewport(u),n.updateFx(u.dragmode,u.hovermode),n.camera.enableWheel=n.graphDiv._context._scrollZoom.gl3d,n.glplot.setClearColor(m(u.bgcolor)),n.setConvert(l),t?Array.isArray(t)||(t=[t]):t=[];var f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(o=0;o<t.length;++o)!0===(i=t[o]).visible&&0!==i._length&&S(this,i,f);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],i=0;i<3;i++)for(var a=M[i],o=a.charAt(0),s=r[a],l=0;l<n.length;l++){var c=n[l];if(c.visible){var u=s.r2l(c[o]);!isNaN(u)&&isFinite(u)&&(e[0][i]=Math.min(e[0][i],u),e[1][i]=Math.max(e[1][i],u))}}}(this,f);var p=[1,1,1];for(s=0;s<3;++s)f[1][s]===f[0][s]?p[s]=1:p[s]=1/(f[1][s]-f[0][s]);for(n.dataScale=p,n.convertAnnotations(this),o=0;o<t.length;++o)!0===(i=t[o]).visible&&0!==i._length&&((a=n.traces[i.uid])?a.data.type===i.type?a.update(i):(a.dispose(),a=i._module.plot(this,i),n.traces[i.uid]=a):(a=i._module.plot(this,i),n.traces[i.uid]=a),a.name=i.name);var d=Object.keys(n.traces);t:for(o=0;o<d.length;++o){for(s=0;s<t.length;++s)if(t[s].uid===d[o]&&!0===t[s].visible&&0!==t[s]._length)continue t;(a=n.traces[d[o]]).dispose(),delete n.traces[d[o]]}n.glplot.objects.sort((function(t,e){return t._trace.data.index-e._trace.data.index}));var g,y=[[0,0,0],[0,0,0]],v=[],x={};for(o=0;o<3;++o){var _;if((c=(l=u[M[o]]).type)in x?(x[c].acc*=p[o],x[c].count+=1):x[c]={acc:p[o],count:1},l.autorange){y[0][o]=1/0,y[1][o]=-1/0;var w=n.glplot.objects,T=n.fullSceneLayout.annotations||[],k=l._name.charAt(0);for(s=0;s<w.length;s++){var A=w[s],E=A.bounds,C=A._trace.data._pad||0;\"ErrorBars\"===A.constructor.name&&l._lowerLogErrorBound?y[0][o]=Math.min(y[0][o],l._lowerLogErrorBound):y[0][o]=Math.min(y[0][o],E[0][o]/p[o]-C),y[1][o]=Math.max(y[1][o],E[1][o]/p[o]+C)}for(s=0;s<T.length;s++){var L=T[s];if(L.visible){var I=l.r2l(L[k]);y[0][o]=Math.min(y[0][o],I),y[1][o]=Math.max(y[1][o],I)}}if(\"rangemode\"in l&&\"tozero\"===l.rangemode&&(y[0][o]=Math.min(y[0][o],0),y[1][o]=Math.max(y[1][o],0)),y[0][o]>y[1][o])y[0][o]=-1,y[1][o]=1;else{var P=y[1][o]-y[0][o];y[0][o]-=P/32,y[1][o]+=P/32}if(_=[y[0][o],y[1][o]],_=b(_,l),y[0][o]=_[0],y[1][o]=_[1],l.isReversed()){var z=y[0][o];y[0][o]=y[1][o],y[1][o]=z}}else _=l.range,y[0][o]=l.r2l(_[0]),y[1][o]=l.r2l(_[1]);y[0][o]===y[1][o]&&(y[0][o]-=1,y[1][o]+=1),v[o]=y[1][o]-y[0][o],l.range=[y[0][o],y[1][o]],l.limitRange(),n.glplot.setBounds(o,{min:l.range[0]*p[o],max:l.range[1]*p[o]})}var O=u.aspectmode;if(\"cube\"===O)g=[1,1,1];else if(\"manual\"===O){var D=u.aspectratio;g=[D.x,D.y,D.z]}else{if(\"auto\"!==O&&\"data\"!==O)throw new Error(\"scene.js aspectRatio was not one of the enumerated types\");var R=[1,1,1];for(o=0;o<3;++o){var F=x[c=(l=u[M[o]]).type];R[o]=Math.pow(F.acc,1/F.count)/p[o]}g=\"data\"===O||Math.max.apply(null,R)/Math.min.apply(null,R)<=4?R:[1,1,1]}u.aspectratio.x=h.aspectratio.x=g[0],u.aspectratio.y=h.aspectratio.y=g[1],u.aspectratio.z=h.aspectratio.z=g[2],n.glplot.setAspectratio(u.aspectratio),n.viewInitial.aspectratio||(n.viewInitial.aspectratio={x:u.aspectratio.x,y:u.aspectratio.y,z:u.aspectratio.z}),n.viewInitial.aspectmode||(n.viewInitial.aspectmode=u.aspectmode);var B=u.domain||null,N=e._size||null;if(B&&N){var j=n.container.style;j.position=\"absolute\",j.left=N.l+B.x[0]*N.w+\"px\",j.top=N.t+(1-B.y[1])*N.h+\"px\",j.width=N.w*(B.x[1]-B.x[0])+\"px\",j.height=N.h*(B.y[1]-B.y[0])+\"px\"}n.glplot.redraw()}},k.destroy=function(){var t=this;t.glplot&&(t.camera.mouseListener.enabled=!1,t.container.removeEventListener(\"wheel\",t.camera.wheelListener),t.camera=null,t.glplot.dispose(),t.container.parentNode.removeChild(t.container),t.glplot=null)},k.getCamera=function(){var t,e=this;return e.camera.view.recalcMatrix(e.camera.view.lastT()),{up:{x:(t=e.camera).up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]},projection:{type:!0===t._ortho?\"orthographic\":\"perspective\"}}},k.setViewport=function(t){var e,r=this,n=t.camera;r.camera.lookAt.apply(this,[[(e=n).eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]),r.glplot.setAspectratio(t.aspectratio),\"orthographic\"===n.projection.type!==r.camera._ortho&&(r.glplot.redraw(),r.glplot.clearRGBA(),r.glplot.dispose(),r.initializeGLPlot())},k.isCameraChanged=function(t){var e=this.getCamera(),r=h.nestedProperty(t,this.id+\".camera\").get();function n(t,e,r,n){var 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e=t.id;if(!f[e]&&e.includes(\"-15\")){f[e]=!0;var r=new Image(15,15);r.onload=function(){h.addImage(e,r)},r.crossOrigin=\"Anonymous\",r.src=\"https://unpkg.com/maki@2.1.0/icons/\"+e+\".svg\"}})),h.setTransformRequest((function(t){return{url:t=(t=(t=t.replace(\"https://fonts.openmaptiles.org/Open Sans Extrabold\",\"https://fonts.openmaptiles.org/Open Sans Extra Bold\")).replace(\"https://tiles.basemaps.cartocdn.com/fonts/Open Sans Extrabold\",\"https://fonts.openmaptiles.org/Open Sans Extra Bold\")).replace(\"https://fonts.openmaptiles.org/Open Sans Regular,Arial Unicode MS Regular\",\"https://fonts.openmaptiles.org/Klokantech Noto Sans Regular\")}})),h._canvas.style.left=\"0px\",h._canvas.style.top=\"0px\",o.rejectOnError(i),o.isStatic||o.initFx(t,e);var p=[];p.push(new 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u,h,f={};for(u in a)f[n=a[u]]?f[n].push(u):f[n]=[u];for(n in f){var p=f[n];if(p.length>1)for(r=0;r<p.length;r++)0===(u=p[r]).indexOf(\"trace-\")?(h=u.split(\"trace-\")[1],this.traceHash[h]&&(this.traceHash[h].below=null)):0===u.indexOf(\"layout-\")&&(h=u.split(\"layout-\")[1],this.layerList[h]&&(this.layerList[h].below=null))}};var b={choroplethmap:0,densitymap:1,scattermap:2};function w(t){var e={};return i.isPlainObject(t)?(e.id=t.id,e.style=t):\"string\"==typeof t?(e.id=t,y.stylesMap[t]?e.style=y.stylesMap[t]:e.style=t):(e.id=y.styleValueDflt,e.style=function(t){return y.styleUrlPrefix+t+\"-\"+y.styleUrlSuffix}(y.styleValueDflt)),e.transition={duration:0,delay:0},e}function T(t){return[t.lon,t.lat]}_.updateData=function(t){var e,r,n,i,a=this.traceHash,o=t.slice().sort((function(t,e){return b[t[0].trace.type]-b[e[0].trace.type]}));for(n=0;n<o.length;n++){var 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i=n._fullLayout.clickmode;i.indexOf(\"select\")>-1&&g(e.originalEvent,n,[r.xaxis],[r.yaxis],r.id,t),i.indexOf(\"event\")>-1&&c.click(n,e.originalEvent)}}},_.updateFx=function(t){var e=this,r=e.map,n=e.gd;if(!e.isStatic){var a,o=t.dragmode;a=function(t,r){r.isRect?(t.range={})[e.id]=[c([r.xmin,r.ymin]),c([r.xmax,r.ymax])]:(t.lassoPoints={})[e.id]=r.map(c)};var s=e.dragOptions;e.dragOptions=i.extendDeep(s||{},{dragmode:t.dragmode,element:e.div,gd:n,plotinfo:{id:e.id,domain:t[e.id].domain,xaxis:e.xaxis,yaxis:e.yaxis,fillRangeItems:a},xaxes:[e.xaxis],yaxes:[e.yaxis],subplot:e.id}),r.off(\"click\",e.onClickInPanHandler),f(o)||h(o)?(r.dragPan.disable(),r.on(\"zoomstart\",e.clearOutline),e.dragOptions.prepFn=function(t,r,n){p(t,r,n,e.dragOptions,o)},l.init(e.dragOptions)):(r.dragPan.enable(),r.off(\"zoomstart\",e.clearOutline),e.div.onmousedown=null,e.div.ontouchstart=null,e.div.removeEventListener(\"touchstart\",e.div._ontouchstart),e.onClickInPanHandler=e.onClickInPanFn(e.dragOptions),r.on(\"click\",e.onClickInPanHandler))}function c(t){var r=e.map.unproject(t);return[r.lng,r.lat]}},_.updateFramework=function(t){var e=t[this.id].domain,r=t._size,n=this.div.style;n.width=r.w*(e.x[1]-e.x[0])+\"px\",n.height=r.h*(e.y[1]-e.y[0])+\"px\",n.left=r.l+e.x[0]*r.w+\"px\",n.top=r.t+(1-e.y[1])*r.h+\"px\",this.xaxis._offset=r.l+e.x[0]*r.w,this.xaxis._length=r.w*(e.x[1]-e.x[0]),this.yaxis._offset=r.t+(1-e.y[1])*r.h,this.yaxis._length=r.h*(e.y[1]-e.y[0])},_.updateLayers=function(t){var e,r=t[this.id].layers,n=this.layerList;if(r.length!==n.length){for(e=0;e<n.length;e++)n[e].dispose();for(n=this.layerList=[],e=0;e<r.length;e++)n.push(v(this,e,r[e]))}else for(e=0;e<r.length;e++)n[e].update(r[e])},_.destroy=function(){this.map&&(this.map.remove(),this.map=null,this.container.removeChild(this.div))},_.toImage=function(){return this.map.stop(),this.map.getCanvas().toDataURL()},_.setOptions=function(t,e,r){for(var n in r)this.map[e](t,n,r[n])},_.getMapLayers=function(){return this.map.getStyle().layers},_.addLayer=function(t,e){var r=this.map;if(\"string\"==typeof e){if(\"\"===e)return void r.addLayer(t,e);for(var n=this.getMapLayers(),a=0;a<n.length;a++)if(e===n[a].id)return void r.addLayer(t,e);i.warn([\"Trying to add layer with *below* value\",e,\"referencing a layer that does not exist\",\"or that does not yet exist.\"].join(\" \"))}r.addLayer(t)},_.project=function(t){return this.map.project(new n.LngLat(t[0],t[1]))},_.getView=function(){var t=this.map,e=t.getCenter(),r={lon:e.lng,lat:e.lat},n=t.getCanvas(),i=parseInt(n.style.width),a=parseInt(n.style.height);return{center:r,zoom:t.getZoom(),bearing:t.getBearing(),pitch:t.getPitch(),_derived:{coordinates:[t.unproject([0,0]).toArray(),t.unproject([i,0]).toArray(),t.unproject([i,a]).toArray(),t.unproject([0,a]).toArray()]}}},_.getViewEdits=function(t){for(var e=this.id,r=[\"center\",\"zoom\",\"bearing\",\"pitch\"],n={},i=0;i<r.length;i++){var a=r[i];n[e+\".\"+a]=t[a]}return n},_.getViewEditsWithDerived=function(t){var e=this.id,r=this.getViewEdits(t);return r[e+\"._derived\"]=t._derived,r},t.exports=x},44245:function(t,e,r){\"use strict\";var n=r(62994),i=\"1.13.4\",a='© <a target=\"_blank\" href=\"https://www.openstreetmap.org/copyright\">OpenStreetMap</a> contributors',o=['© <a target=\"_blank\" href=\"https://carto.com/\">Carto</a>',a].join(\" \"),s=['Map tiles by <a target=\"_blank\" href=\"https://stamen.com\">Stamen Design</a>','under <a target=\"_blank\" href=\"https://creativecommons.org/licenses/by/3.0\">CC BY 3.0</a>',\"|\",'Data by <a target=\"_blank\" href=\"https://openstreetmap.org\">OpenStreetMap</a> contributors','under <a target=\"_blank\" href=\"https://www.openstreetmap.org/copyright\">ODbL</a>'].join(\" 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tiles by <a target=\"_blank\" href=\"https://stamen.com\">Stamen Design</a>','under <a target=\"_blank\" href=\"https://creativecommons.org/licenses/by/3.0\">CC BY 3.0</a>',\"|\",'Data by <a target=\"_blank\" href=\"https://openstreetmap.org\">OpenStreetMap</a> contributors','under <a target=\"_blank\" href=\"https://creativecommons.org/licenses/by-sa/3.0\">CC BY SA</a>'].join(\" 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e,r,s=this,c=s.isSmith,u=s.gd,h=s.layers,f=t._zoomlayer,p=S.MINZOOM,d=S.OFFEDGE,m=s.radius,x=s.innerRadius,T=s.cx,k=s.cy,A=s.cxx,M=s.cyy,C=s.sectorInRad,L=s.vangles,I=s.radialAxis,P=E.clampTiny,z=E.findXYatLength,O=E.findEnclosingVertexAngles,D=S.cornerHalfWidth,R=S.cornerLen/2,F=g.makeDragger(h,\"path\",\"maindrag\",!1===t.dragmode?\"none\":\"crosshair\");n.select(F).attr(\"d\",s.pathSubplot()).attr(\"transform\",l(T,k)),F.onmousemove=function(t){v.hover(u,t,s.id),u._fullLayout._lasthover=F,u._fullLayout._hoversubplot=s.id},F.onmouseout=function(t){u._dragging||y.unhover(u,t)};var B,N,j,U,V,q,H,G,Z,W={element:F,gd:u,subplot:s.id,plotinfo:{id:s.id,xaxis:s.xaxis,yaxis:s.yaxis},xaxes:[s.xaxis],yaxes:[s.yaxis]};function Y(t,e){return Math.sqrt(t*t+e*e)}function X(t,e){return Y(t-A,e-M)}function $(t,e){return Math.atan2(M-e,t-A)}function J(t,e){return[t*Math.cos(e),t*Math.sin(-e)]}function K(t,e){if(0===t)return s.pathSector(2*D);var 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z,O,D,B=g.makeRectDragger(u,T,\"crosshair\",-x,-x,v,v),N={element:B,gd:c};!1===t.dragmode&&(N.dragmode=!1),V(n.select(B),m.visible&&f<h,{transform:l(_,b)}),N.prepFn=function(){z=null,O=null,D=null,N.moveFn=j,N.doneFn=q,w(c)},N.clampFn=function(t,e){return Math.sqrt(t*t+e*e)<S.MINDRAG&&(t=0,e=0),[t,e]},y.init(N)}function j(t,e){if(z)z(t,e);else{var n=[t,-e],a=[Math.cos(M),Math.sin(M)],s=Math.abs(o.dot(n,a)/Math.sqrt(o.dot(n,n)));isNaN(s)||(z=s<.5?H:G)}var l={};!function(t){null!==O?t[i.id+\".radialaxis.angle\"]=O:null!==D&&(t[i.id+\".radialaxis.range[\"+r+\"]\"]=D)}(l),c.emit(\"plotly_relayouting\",l)}function q(){null!==O?a.call(\"_guiRelayout\",c,i.id+\".radialaxis.angle\",O):null!==D&&a.call(\"_guiRelayout\",c,i.id+\".radialaxis.range[\"+r+\"]\",D)}function H(t,e){if(0!==r){var n=_+t,a=b+e;O=Math.atan2(d-a,n-p),i.vangles&&(O=U(O,i.vangles)),O=F(O);var o=l(p,d)+s(-O);u[\"radial-axis\"].attr(\"transform\",o),u[\"radial-line\"].select(\"line\").attr(\"transform\",o);var 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traces\"===t.baxis.layer&&r.push(\"baxis\",\"bline\"),\"above traces\"===t.caxis.layer&&r.push(\"caxis\",\"cline\");var i=this.plotContainer.selectAll(\"g.toplevel\").data(r,String),a=[\"agrid\",\"bgrid\",\"cgrid\"];i.enter().append(\"g\").attr(\"class\",(function(t){return\"toplevel \"+t})).each((function(t){var r=n.select(this);e[t]=r,\"frontplot\"===t?r.append(\"g\").classed(\"scatterlayer\",!0):\"backplot\"===t?r.append(\"g\").classed(\"maplayer\",!0):\"plotbg\"===t?r.append(\"path\").attr(\"d\",\"M0,0Z\"):\"aline\"===t||\"bline\"===t||\"cline\"===t?r.append(\"path\"):\"grids\"===t&&a.forEach((function(t){e[t]=r.append(\"g\").classed(\"grid \"+t,!0)}))})),i.order()};var E=Math.sqrt(4/3);S.adjustLayout=function(t,e){var r,n,i,a,o,l,p=this,d=t.domain,m=(d.x[0]+d.x[1])/2,g=(d.y[0]+d.y[1])/2,y=d.x[1]-d.x[0],v=d.y[1]-d.y[0],x=y*e.w,_=v*e.h,b=t.sum,w=t.aaxis.min,T=t.baxis.min,k=t.caxis.min;x>E*_?i=(a=_)*E:a=(i=x)/E,o=y*i/x,l=v*a/_,r=e.l+e.w*m-i/2,n=e.t+e.h*(1-g)-a/2,p.x0=r,p.y0=n,p.w=i,p.h=a,p.sum=b,p.xaxis={type:\"linear\",range:[w+2*k-b,b-w-2*T],domain:[m-o/2,m+o/2],_id:\"x\"},h(p.xaxis,p.graphDiv._fullLayout),p.xaxis.setScale(),p.xaxis.isPtWithinRange=function(t){return t.a>=p.aaxis.range[0]&&t.a<=p.aaxis.range[1]&&t.b>=p.baxis.range[1]&&t.b<=p.baxis.range[0]&&t.c>=p.caxis.range[1]&&t.c<=p.caxis.range[0]},p.yaxis={type:\"linear\",range:[w,b-T-k],domain:[g-l/2,g+l/2],_id:\"y\"},h(p.yaxis,p.graphDiv._fullLayout),p.yaxis.setScale(),p.yaxis.isPtWithinRange=function(){return!0};var A=p.yaxis.domain[0],M=p.aaxis=f({},t.aaxis,{range:[w,b-T-k],side:\"left\",tickangle:(+t.aaxis.tickangle||0)-30,domain:[A,A+l*E],anchor:\"free\",position:0,_id:\"y\",_length:i});h(M,p.graphDiv._fullLayout),M.setScale();var S=p.baxis=f({},t.baxis,{range:[b-w-k,T],side:\"bottom\",domain:p.xaxis.domain,anchor:\"free\",position:0,_id:\"x\",_length:i});h(S,p.graphDiv._fullLayout),S.setScale();var C=p.caxis=f({},t.caxis,{range:[b-w-T,k],side:\"right\",tickangle:(+t.caxis.tickangle||0)+30,domain:[A,A+l*E],anchor:\"free\",position:0,_id:\"y\",_length:i});h(C,p.graphDiv._fullLayout),C.setScale();var L=\"M\"+r+\",\"+(n+a)+\"h\"+i+\"l-\"+i/2+\",-\"+a+\"Z\";p.clipDef.select(\"path\").attr(\"d\",L),p.layers.plotbg.select(\"path\").attr(\"d\",L);var I=\"M0,\"+a+\"h\"+i+\"l-\"+i/2+\",-\"+a+\"Z\";p.clipDefRelative.select(\"path\").attr(\"d\",I);var P=s(r,n);p.plotContainer.selectAll(\".scatterlayer,.maplayer\").attr(\"transform\",P),p.clipDefRelative.select(\"path\").attr(\"transform\",null);var z=s(r-S._offset,n+a);p.layers.baxis.attr(\"transform\",z),p.layers.bgrid.attr(\"transform\",z);var O=s(r+i/2,n)+\"rotate(30)\"+s(0,-M._offset);p.layers.aaxis.attr(\"transform\",O),p.layers.agrid.attr(\"transform\",O);var D=s(r+i/2,n)+\"rotate(-30)\"+s(0,-C._offset);p.layers.caxis.attr(\"transform\",D),p.layers.cgrid.attr(\"transform\",D),p.drawAxes(!0),p.layers.aline.select(\"path\").attr(\"d\",M.showline?\"M\"+r+\",\"+(n+a)+\"l\"+i/2+\",-\"+a:\"M0,0\").call(c.stroke,M.linecolor||\"#000\").style(\"stroke-width\",(M.linewidth||0)+\"px\"),p.layers.bline.select(\"path\").attr(\"d\",S.showline?\"M\"+r+\",\"+(n+a)+\"h\"+i:\"M0,0\").call(c.stroke,S.linecolor||\"#000\").style(\"stroke-width\",(S.linewidth||0)+\"px\"),p.layers.cline.select(\"path\").attr(\"d\",C.showline?\"M\"+(r+i/2)+\",\"+n+\"l\"+i/2+\",\"+a:\"M0,0\").call(c.stroke,C.linecolor||\"#000\").style(\"stroke-width\",(C.linewidth||0)+\"px\"),p.graphDiv._context.staticPlot||p.initInteractions(),u.setClipUrl(p.layers.frontplot,p._hasClipOnAxisFalse?null:p.clipId,p.graphDiv)},S.drawAxes=function(t){var e=this,r=e.graphDiv,n=e.id.substr(7)+\"title\",i=e.layers,a=e.aaxis,o=e.baxis,s=e.caxis;if(e.drawAx(a),e.drawAx(o),e.drawAx(s),t){var c=Math.max(a.showticklabels?a.tickfont.size/2:0,(s.showticklabels?.75*s.tickfont.size:0)+(\"outside\"===s.ticks?.87*s.ticklen:0)),u=(o.showticklabels?o.tickfont.size:0)+(\"outside\"===o.ticks?o.ticklen:0)+3;i[\"a-title\"]=_.draw(r,\"a\"+n,{propContainer:a,propName:e.id+\".aaxis.title\",placeholder:l(r,\"Click to enter Component A title\"),attributes:{x:e.x0+e.w/2,y:e.y0-a.title.font.size/3-c,\"text-anchor\":\"middle\"}}),i[\"b-title\"]=_.draw(r,\"b\"+n,{propContainer:o,propName:e.id+\".baxis.title\",placeholder:l(r,\"Click to enter Component B title\"),attributes:{x:e.x0-u,y:e.y0+e.h+.83*o.title.font.size+u,\"text-anchor\":\"middle\"}}),i[\"c-title\"]=_.draw(r,\"c\"+n,{propContainer:s,propName:e.id+\".caxis.title\",placeholder:l(r,\"Click to enter Component C title\"),attributes:{x:e.x0+e.w+u,y:e.y0+e.h+.83*s.title.font.size+u,\"text-anchor\":\"middle\"}})}},S.drawAx=function(t){var e,r=this,n=r.graphDiv,i=t._name,a=i.charAt(0),s=t._id,l=r.layers[i],c=a+\"tickLayout\",u=(e=t).ticks+String(e.ticklen)+String(e.showticklabels);r[c]!==u&&(l.selectAll(\".\"+s+\"tick\").remove(),r[c]=u),t.setScale();var h=d.calcTicks(t),f=d.clipEnds(t,h),p=d.makeTransTickFn(t),m=d.getTickSigns(t)[2],g=o.deg2rad(30),y=m*(t.linewidth||1)/2,v=m*t.ticklen,x=r.w,_=r.h,b=\"b\"===a?\"M0,\"+y+\"l\"+Math.sin(g)*v+\",\"+Math.cos(g)*v:\"M\"+y+\",0l\"+Math.cos(g)*v+\",\"+-Math.sin(g)*v,w={a:\"M0,0l\"+_+\",-\"+x/2,b:\"M0,0l-\"+x/2+\",-\"+_,c:\"M0,0l-\"+_+\",\"+x/2}[a];d.drawTicks(n,t,{vals:\"inside\"===t.ticks?f:h,layer:l,path:b,transFn:p,crisp:!1}),d.drawGrid(n,t,{vals:f,layer:r.layers[a+\"grid\"],path:w,transFn:p,crisp:!1}),d.drawLabels(n,t,{vals:h,layer:l,transFn:p,labelFns:d.makeLabelFns(t,0,30)})};var C=A.MINZOOM/2+.87,L=\"m-0.87,.5h\"+C+\"v3h-\"+(C+5.2)+\"l\"+(C/2+2.6)+\",-\"+(.87*C+4.5)+\"l2.6,1.5l-\"+C/2+\",\"+.87*C+\"Z\",I=\"m0.87,.5h-\"+C+\"v3h\"+(C+5.2)+\"l-\"+(C/2+2.6)+\",-\"+(.87*C+4.5)+\"l-2.6,1.5l\"+C/2+\",\"+.87*C+\"Z\",P=\"m0,1l\"+C/2+\",\"+.87*C+\"l2.6,-1.5l-\"+(C/2+2.6)+\",-\"+(.87*C+4.5)+\"l-\"+(C/2+2.6)+\",\"+(.87*C+4.5)+\"l2.6,1.5l\"+C/2+\",-\"+.87*C+\"Z\",z=!0;function O(t){n.select(t).selectAll(\".zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners\").remove()}S.clearOutline=function(){k(this.dragOptions),T(this.dragOptions.gd)},S.initInteractions=function(){var t,e,r,n,h,f,p,d,y,_,T,k,M=this,S=M.layers.plotbg.select(\"path\").node(),C=M.graphDiv,D=C._fullLayout._zoomlayer;function R(t){var e={};return e[M.id+\".aaxis.min\"]=t.a,e[M.id+\".baxis.min\"]=t.b,e[M.id+\".caxis.min\"]=t.c,e}function F(t,e){var r=C._fullLayout.clickmode;O(C),2===t&&(C.emit(\"plotly_doubleclick\",null),a.call(\"_guiRelayout\",C,R({a:0,b:0,c:0}))),r.indexOf(\"select\")>-1&&1===t&&w(e,C,[M.xaxis],[M.yaxis],M.id,M.dragOptions),r.indexOf(\"event\")>-1&&g.click(C,e,M.id)}function B(t,e){return 1-e/M.h}function N(t,e){return 1-(t+(M.h-e)/Math.sqrt(3))/M.w}function j(t,e){return(t-(M.h-e)/Math.sqrt(3))/M.w}function U(i,a){var o=r+i*t,s=n+a*e,l=Math.max(0,Math.min(1,B(0,n),B(0,s))),c=Math.max(0,Math.min(1,N(r,n),N(o,s))),u=Math.max(0,Math.min(1,j(r,n),j(o,s))),m=(l/2+u)*M.w,g=(1-l/2-c)*M.w,v=(m+g)/2,x=g-m,b=(1-l)*M.h,w=b-x/E;x<A.MINZOOM?(p=h,T.attr(\"d\",y),k.attr(\"d\",\"M0,0Z\")):(p={a:h.a+l*f,b:h.b+c*f,c:h.c+u*f},T.attr(\"d\",y+\"M\"+m+\",\"+b+\"H\"+g+\"L\"+v+\",\"+w+\"L\"+m+\",\"+b+\"Z\"),k.attr(\"d\",\"M\"+r+\",\"+n+\"m0.5,0.5h5v-2h-5v-5h-2v5h-5v2h5v5h2ZM\"+m+\",\"+b+L+\"M\"+g+\",\"+b+I+\"M\"+v+\",\"+w+P)),_||(T.transition().style(\"fill\",d>.2?\"rgba(0,0,0,0.4)\":\"rgba(255,255,255,0.3)\").duration(200),k.transition().style(\"opacity\",1).duration(200),_=!0),C.emit(\"plotly_relayouting\",R(p))}function V(){O(C),p!==h&&(a.call(\"_guiRelayout\",C,R(p)),z&&C.data&&C._context.showTips&&(o.notifier(l(C,\"Double-click to zoom back out\"),\"long\"),z=!1))}function q(t,e){var r=t/M.xaxis._m,n=e/M.yaxis._m,i=[(p={a:h.a-n,b:h.b+(r+n)/2,c:h.c-(r-n)/2}).a,p.b,p.c].sort(o.sorterAsc),a=i.indexOf(p.a),l=i.indexOf(p.b),c=i.indexOf(p.c);i[0]<0&&(i[1]+i[0]/2<0?(i[2]+=i[0]+i[1],i[0]=i[1]=0):(i[2]+=i[0]/2,i[1]+=i[0]/2,i[0]=0),p={a:i[a],b:i[l],c:i[c]},e=(h.a-p.a)*M.yaxis._m,t=(h.c-p.c-h.b+p.b)*M.xaxis._m);var f=s(M.x0+t,M.y0+e);M.plotContainer.selectAll(\".scatterlayer,.maplayer\").attr(\"transform\",f);var d=s(-t,-e);M.clipDefRelative.select(\"path\").attr(\"transform\",d),M.aaxis.range=[p.a,M.sum-p.b-p.c],M.baxis.range=[M.sum-p.a-p.c,p.b],M.caxis.range=[M.sum-p.a-p.b,p.c],M.drawAxes(!1),M._hasClipOnAxisFalse&&M.plotContainer.select(\".scatterlayer\").selectAll(\".trace\").call(u.hideOutsideRangePoints,M),C.emit(\"plotly_relayouting\",R(p))}function H(){a.call(\"_guiRelayout\",C,R(p))}this.dragOptions={element:S,gd:C,plotinfo:{id:M.id,domain:C._fullLayout[M.id].domain,xaxis:M.xaxis,yaxis:M.yaxis},subplot:M.id,prepFn:function(a,l,u){M.dragOptions.xaxes=[M.xaxis],M.dragOptions.yaxes=[M.yaxis],t=C._fullLayout._invScaleX,e=C._fullLayout._invScaleY;var m=M.dragOptions.dragmode=C._fullLayout.dragmode;v(m)?M.dragOptions.minDrag=1:M.dragOptions.minDrag=void 0,\"zoom\"===m?(M.dragOptions.moveFn=U,M.dragOptions.clickFn=F,M.dragOptions.doneFn=V,function(t,e,a){var l=S.getBoundingClientRect();r=e-l.left,n=a-l.top,C._fullLayout._calcInverseTransform(C);var u=C._fullLayout._invTransform,m=o.apply3DTransform(u)(r,n);r=m[0],n=m[1],h={a:M.aaxis.range[0],b:M.baxis.range[1],c:M.caxis.range[1]},p=h,f=M.aaxis.range[1]-h.a,d=i(M.graphDiv._fullLayout[M.id].bgcolor).getLuminance(),y=\"M0,\"+M.h+\"L\"+M.w/2+\", 0L\"+M.w+\",\"+M.h+\"Z\",_=!1,T=D.append(\"path\").attr(\"class\",\"zoombox\").attr(\"transform\",s(M.x0,M.y0)).style({fill:d>.2?\"rgba(0,0,0,0)\":\"rgba(255,255,255,0)\",\"stroke-width\":0}).attr(\"d\",y),k=D.append(\"path\").attr(\"class\",\"zoombox-corners\").attr(\"transform\",s(M.x0,M.y0)).style({fill:c.background,stroke:c.defaultLine,\"stroke-width\":1,opacity:0}).attr(\"d\",\"M0,0Z\"),M.clearOutline(C)}(0,l,u)):\"pan\"===m?(M.dragOptions.moveFn=q,M.dragOptions.clickFn=F,M.dragOptions.doneFn=H,h={a:M.aaxis.range[0],b:M.baxis.range[1],c:M.caxis.range[1]},p=h,M.clearOutline(C)):(x(m)||v(m))&&b(a,l,u,M.dragOptions,m)}},S.onmousemove=function(t){g.hover(C,t,M.id),C._fullLayout._lasthover=S,C._fullLayout._hoversubplot=M.id},S.onmouseout=function(t){C._dragging||m.unhover(C,t)},m.init(this.dragOptions)}},33626:function(t,e,r){\"use strict\";var n=r(48636),i=r(4969),a=r(36539),o=r(56174),s=r(95425).addStyleRule,l=r(93049),c=r(9829),u=r(6704),h=l.extendFlat,f=l.extendDeepAll;function p(t){var i=t.name,a=t.categories,o=t.meta;if(e.modules[i])n.log(\"Type \"+i+\" already registered\");else{e.subplotsRegistry[t.basePlotModule.name]||function(t){var r=t.name;if(e.subplotsRegistry[r])n.log(\"Plot type \"+r+\" already registered.\");else for(var i in y(t),e.subplotsRegistry[r]=t,e.componentsRegistry)_(i,t.name)}(t.basePlotModule);for(var l={},c=0;c<a.length;c++)l[a[c]]=!0,e.allCategories[a[c]]=!0;for(var u in e.modules[i]={_module:t,categories:l},o&&Object.keys(o).length&&(e.modules[i].meta=o),e.allTypes.push(i),e.componentsRegistry)v(u,i);t.layoutAttributes&&h(e.traceLayoutAttributes,t.layoutAttributes);var f=t.basePlotModule,p=f.name;if(\"mapbox\"===p){var d=f.constants.styleRules;for(var m in d)s(\".js-plotly-plot .plotly .mapboxgl-\"+m,d[m])}\"map\"===p&&r(96144),\"geo\"!==p&&\"mapbox\"!==p&&\"map\"!==p||void 0!==window.PlotlyGeoAssets||(window.PlotlyGeoAssets={topojson:{}})}}function d(t){if(\"string\"!=typeof t.name)throw new Error(\"Component module *name* must be a string.\");var r=t.name;for(var n in e.componentsRegistry[r]=t,t.layoutAttributes&&(t.layoutAttributes._isLinkedToArray&&a(e.layoutArrayContainers,r),y(t)),e.modules)v(r,n);for(var i in e.subplotsRegistry)_(r,i);for(var o in e.transformsRegistry)x(r,o);t.schema&&t.schema.layout&&f(u,t.schema.layout)}function m(t){if(\"string\"!=typeof t.name)throw new Error(\"Transform module *name* must be a string.\");var r=\"Transform module \"+t.name,i=\"function\"==typeof t.transform,a=\"function\"==typeof t.calcTransform;if(!i&&!a)throw new Error(r+\" is missing a *transform* or *calcTransform* method.\");for(var s in i&&a&&n.log([r+\" has both a *transform* and *calcTransform* methods.\",\"Please note that all *transform* methods are executed\",\"before all *calcTransform* methods.\"].join(\" \")),o(t.attributes)||n.log(r+\" registered without an *attributes* object.\"),\"function\"!=typeof t.supplyDefaults&&n.log(r+\" registered without a *supplyDefaults* method.\"),e.transformsRegistry[t.name]=t,e.componentsRegistry)x(s,t.name)}function g(t){var r=t.name,n=r.split(\"-\")[0],i=t.dictionary,a=t.format,o=i&&Object.keys(i).length,s=a&&Object.keys(a).length,l=e.localeRegistry,c=l[r];if(c||(l[r]=c={}),n!==r){var u=l[n];u||(l[n]=u={}),o&&u.dictionary===c.dictionary&&(u.dictionary=i),s&&u.format===c.format&&(u.format=a)}o&&(c.dictionary=i),s&&(c.format=a)}function y(t){if(t.layoutAttributes){var r=t.layoutAttributes._arrayAttrRegexps;if(r)for(var n=0;n<r.length;n++)a(e.layoutArrayRegexes,r[n])}}function v(t,r){var n=e.componentsRegistry[t].schema;if(n&&n.traces){var i=n.traces[r];i&&f(e.modules[r]._module.attributes,i)}}function x(t,r){var n=e.componentsRegistry[t].schema;if(n&&n.transforms){var i=n.transforms[r];i&&f(e.transformsRegistry[r].attributes,i)}}function _(t,r){var n=e.componentsRegistry[t].schema;if(n&&n.subplots){var i=e.subplotsRegistry[r],a=i.layoutAttributes,o=\"subplot\"===i.attr?i.name:i.attr;Array.isArray(o)&&(o=o[0]);var 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strict\";t.exports={barmode:{valType:\"enumerated\",values:[\"stack\",\"group\",\"overlay\",\"relative\"],dflt:\"group\",editType:\"calc\"},barnorm:{valType:\"enumerated\",values:[\"\",\"fraction\",\"percent\"],dflt:\"\",editType:\"calc\"},bargap:{valType:\"number\",min:0,max:1,editType:\"calc\"},bargroupgap:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},barcornerradius:{valType:\"any\",editType:\"calc\"}}},78931:function(t,e,r){\"use strict\";var n=r(33626),i=r(29714),a=r(34809),o=r(25412),s=r(17550).validateCornerradius;t.exports=function(t,e,r){function l(r,n){return a.coerce(t,e,o,r,n)}for(var c=!1,u=!1,h=!1,f={},p=l(\"barmode\"),d=0;d<r.length;d++){var m=r[d];if(n.traceIs(m,\"bar\")&&m.visible){if(c=!0,\"group\"===p){var g=m.xaxis+m.yaxis;f[g]&&(h=!0),f[g]=!0}m.visible&&\"histogram\"===m.type&&\"category\"!==i.getFromId({_fullLayout:e},m[\"v\"===m.orientation?\"xaxis\":\"yaxis\"]).type&&(u=!0)}}if(c){\"overlay\"!==p&&l(\"barnorm\"),l(\"bargap\",u&&!h?0:.2),l(\"bargroupgap\");var y=l(\"barcornerradius\");e.barcornerradius=s(y)}else delete e.barmode}},32995:function(t,e,r){\"use strict\";var n=r(45568),i=r(10721),a=r(34809),o=r(30635),s=r(78766),l=r(62203),c=r(33626),u=r(29714).tickText,h=r(84102),f=h.recordMinTextSize,p=h.clearMinTextSize,d=r(6851),m=r(42843),g=r(56155),y=r(81481),v=y.text,x=y.textposition,_=r(36040).appendArrayPointValue,b=g.TEXTPAD;function w(t){return t.id}function T(t){if(t.ids)return w}function k(t){return(t>0)-(t<0)}function A(t,e){return t<e?1:-1}function M(t,e,r,n){var i;return!e.uniformtext.mode&&S(r)?(n&&(i=n()),t.transition().duration(r.duration).ease(r.easing).each(\"end\",(function(){i&&i()})).each(\"interrupt\",(function(){i&&i()}))):t}function S(t){return t&&t.duration>0}function E(t,e,r,n,i){return!(t<0||e<0)&&(r<=t&&n<=e||r<=e&&n<=t||(i?t>=r*(e/n):e>=n*(t/r)))}function C(t){return\"auto\"===t?0:t}function L(t,e){var r=Math.PI/180*e,n=Math.abs(Math.sin(r)),i=Math.abs(Math.cos(r));return{x:t.width*i+t.height*n,y:t.width*n+t.height*i}}function I(t,e,r,n,i,a){var o=!!a.isHorizontal,s=!!a.constrained,l=a.angle||0,c=a.anchor,u=\"end\"===c,h=\"start\"===c,f=((a.leftToRight||0)+1)/2,p=1-f,d=a.hasB,m=a.r,g=a.overhead,y=i.width,v=i.height,x=Math.abs(e-t),_=Math.abs(n-r),w=x>2*b&&_>2*b?b:0;x-=2*w,_-=2*w;var T=C(l);\"auto\"!==l||y<=x&&v<=_||!(y>x||v>_)||(y>_||v>x)&&y<v==x<_||(T+=90);var k,M,S=L(i,T);if(m&&m-g>b){var E=function(t,e,r,n,i,a,o,s,l){var c,u,h,f,p=Math.max(0,Math.abs(e-t)-2*b),d=Math.max(0,Math.abs(n-r)-2*b),m=a-b,g=o?m-Math.sqrt(m*m-(m-o)*(m-o)):m,y=l?2*m:s?m-o:2*g,v=l?2*m:s?2*g:m-o;return 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B=o?A(t,e):A(r,n);o?h?(z=t+B*w,D=-B*F):(z=e-B*w,D=B*F):h?(O=r+B*w,R=-B*F):(O=n-B*w,R=B*F)}return{textX:I,textY:P,targetX:z,targetY:O,anchorX:D,anchorY:R,scale:k,rotate:T}}t.exports={plot:function(t,e,r,h,g,y){var w=e.xaxis,P=e.yaxis,z=t._fullLayout,O=t._context.staticPlot;g||(g={mode:z.barmode,norm:z.barmode,gap:z.bargap,groupgap:z.bargroupgap},p(\"bar\",z));var D=a.makeTraceGroups(h,r,\"trace bars\").each((function(r){var c=n.select(this),h=r[0].trace,p=r[0].t,D=\"waterfall\"===h.type,R=\"funnel\"===h.type,F=\"histogram\"===h.type,B=\"bar\"===h.type,N=B||R,j=0;D&&h.connector.visible&&\"between\"===h.connector.mode&&(j=h.connector.line.width/2);var U=\"h\"===h.orientation,V=S(g),q=a.ensureSingle(c,\"g\",\"points\"),H=T(h),G=q.selectAll(\"g.point\").data(a.identity,H);G.enter().append(\"g\").classed(\"point\",!0),G.exit().remove(),G.each((function(c,T){var S,D,R=n.select(this),q=function(t,e,r,n){var i=[],a=[],o=n?e:r,s=n?r:e;return 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r,n=U?Math.abs(W-Z):Math.abs(G-H),i=U?Math.abs(G-H):Math.abs(W-Z),a=J(Math.abs(Q(K,!0)-Q(0,!0))),o=c.hasB?Math.min(n/2,i/2):Math.min(n/2,a);return r=\"%\"===e?n*(Math.min(50,t)/100):t,J(Math.max(Math.min(r,o),0))}(p.cornerradiusvalue,p.cornerradiusform):0,nt=\"M\"+H+\",\"+Z+\"V\"+W+\"H\"+G+\"V\"+Z+\"Z\",it=0;if(rt&&c.s){var at=0===k(c.s0)||k(c.s)===k(c.s0)?c.s1:c.s0;if((it=J(c.hasB?0:Math.abs(Q(K,!0)-Q(at,!0))))<rt){var ot=A(H,G),st=A(Z,W),lt=ot===-st?1:0;if(U)if(c.hasB)tt=\"M\"+(H+rt*ot)+\",\"+Z+\"A \"+rt+\",\"+rt+\" 0 0 \"+lt+\" \"+H+\",\"+(Z+rt*st)+\"V\"+(W-rt*st)+\"A \"+rt+\",\"+rt+\" 0 0 \"+lt+\" \"+(H+rt*ot)+\",\"+W+\"H\"+(G-rt*ot)+\"A \"+rt+\",\"+rt+\" 0 0 \"+lt+\" \"+G+\",\"+(W-rt*st)+\"V\"+(Z+rt*st)+\"A \"+rt+\",\"+rt+\" 0 0 \"+lt+\" \"+(G-rt*ot)+\",\"+Z+\"Z\";else{var ct=(et=Math.abs(G-H)+it)<rt?rt-Math.sqrt(et*(2*rt-et)):0,ut=it>0?Math.sqrt(it*(2*rt-it)):0,ht=ot>0?Math.max:Math.min;tt=\"M\"+H+\",\"+Z+\"V\"+(W-ct*st)+\"H\"+ht(G-(rt-it)*ot,H)+\"A \"+rt+\",\"+rt+\" 0 0 \"+lt+\" 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mt=M(a.ensureSingle(R,\"path\"),z,g,y);if(mt.style(\"vector-effect\",O?\"none\":\"non-scaling-stroke\").attr(\"d\",isNaN((G-H)*(W-Z))||Y&&t._context.staticPlot?\"M0,0Z\":tt).call(l.setClipUrl,e.layerClipId,t),!z.uniformtext.mode&&V){var gt=l.makePointStyleFns(h);l.singlePointStyle(c,mt,h,gt,t)}!function(t,e,r,n,i,s,c,h,p,g,y,w,T){var k,S=e.xaxis,P=e.yaxis,z=t._fullLayout;function O(e,r,n){return a.ensureSingle(e,\"text\").text(r).attr({class:\"bartext bartext-\"+k,\"text-anchor\":\"middle\",\"data-notex\":1}).call(l.font,n).call(o.convertToTspans,t)}var D=n[0].trace,R=\"h\"===D.orientation,F=function(t,e,r,n,i){var o,s=e[0].trace;return o=s.texttemplate?function(t,e,r,n,i){var o=e[0].trace,s=a.castOption(o,r,\"texttemplate\");if(!s)return\"\";var l,c,h,f,p=\"histogram\"===o.type,d=\"waterfall\"===o.type,m=\"funnel\"===o.type,g=\"h\"===o.orientation;function y(t){return u(f,f.c2l(t),!0).text}g?(l=\"y\",c=i,h=\"x\",f=n):(l=\"x\",c=n,h=\"y\",f=i);var 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i=t[0].trace,o=\"h\"===i.orientation,s=\"waterfall\"===i.type,l=\"funnel\"===i.type;function c(t){return u(o?r:n,+t,!0).text}var h,f,p=i.textinfo,d=t[e],m=p.split(\"+\"),g=[],y=function(t){return-1!==m.indexOf(t)};if(y(\"label\")&&g.push((f=t[e].p,u(o?n:r,f,!0).text)),y(\"text\")&&(0===(h=a.castOption(i,d.i,\"text\"))||h)&&g.push(h),s){var v=+d.rawS||d.s,x=d.v,_=x-v;y(\"initial\")&&g.push(c(_)),y(\"delta\")&&g.push(c(v)),y(\"final\")&&g.push(c(x))}if(l){y(\"value\")&&g.push(c(d.s));var b=0;y(\"percent initial\")&&b++,y(\"percent previous\")&&b++,y(\"percent total\")&&b++;var w=b>1;y(\"percent initial\")&&(h=a.formatPercent(d.begR),w&&(h+=\" of initial\"),g.push(h)),y(\"percent previous\")&&(h=a.formatPercent(d.difR),w&&(h+=\" of previous\"),g.push(h)),y(\"percent total\")&&(h=a.formatPercent(d.sumR),w&&(h+=\" of total\"),g.push(h))}return g.join(\"<br>\")}(e,r,n,i):m.getValue(s.text,r),m.coerceString(v,o)}(z,n,i,S,P);k=function(t,e){var r=m.getValue(t.textposition,e);return m.coerceEnumerated(x,r)}(D,i);var B=\"stack\"===w.mode||\"relative\"===w.mode,N=n[i],j=!B||N._outmost,U=N.hasB,V=g&&g-y>b;if(F&&\"none\"!==k&&(!N.isBlank&&s!==c&&h!==p||\"auto\"!==k&&\"inside\"!==k)){var q=z.font,H=d.getBarColor(n[i],D),G=d.getInsideTextFont(D,i,q,H),Z=d.getOutsideTextFont(D,i,q),W=D.insidetextanchor||\"end\",Y=r.datum();R?\"log\"===S.type&&Y.s0<=0&&(s=S.range[0]<S.range[1]?0:S._length):\"log\"===P.type&&Y.s0<=0&&(h=P.range[0]<P.range[1]?P._length:0);var X,$,J,K,Q,tt=Math.abs(c-s),et=Math.abs(p-h),rt=tt-2*b,nt=et-2*b;if(\"outside\"===k&&(j||N.hasB||(k=\"inside\")),\"auto\"===k)if(j){k=\"inside\",X=O(r,F,Q=a.ensureUniformFontSize(t,G)),J=($=l.bBox(X.node())).width,K=$.height;var it,at=J>0&&K>0;it=V?U?E(rt-2*g,nt,J,K,R)||E(rt,nt-2*g,J,K,R):R?E(rt-(g-y),nt,J,K,R)||E(rt,nt-2*(g-y),J,K,R):E(rt,nt-(g-y),J,K,R)||E(rt-2*(g-y),nt,J,K,R):E(rt,nt,J,K,R),at&&it?k=\"inside\":(k=\"outside\",X.remove(),X=null)}else k=\"inside\";if(!X){var ot=(X=O(r,F,Q=a.ensureUniformFontSize(t,\"outside\"===k?Z:G))).attr(\"transform\");if(X.attr(\"transform\",\"\"),J=($=l.bBox(X.node())).width,K=$.height,X.attr(\"transform\",ot),J<=0||K<=0)return void X.remove()}var st,lt=D.textangle;st=\"outside\"===k?function(t,e,r,n,i,a){var o,s=!!a.isHorizontal,l=!!a.constrained,c=a.angle||0,u=i.width,h=i.height,f=Math.abs(e-t),p=Math.abs(n-r);o=s?p>2*b?b:0:f>2*b?b:0;var d=1;l&&(d=s?Math.min(1,p/h):Math.min(1,f/u));var m=C(c),g=L(i,m),y=(s?g.x:g.y)/2,v=(i.left+i.right)/2,x=(i.top+i.bottom)/2,_=(t+e)/2,w=(r+n)/2,T=0,k=0,M=s?A(e,t):A(r,n);return s?(_=e-M*o,T=M*y):(w=n+M*o,k=-M*y),{textX:v,textY:x,targetX:_,targetY:w,anchorX:T,anchorY:k,scale:d,rotate:m}}(s,c,h,p,$,{isHorizontal:R,constrained:\"both\"===D.constraintext||\"outside\"===D.constraintext,angle:lt}):I(s,c,h,p,$,{isHorizontal:R,constrained:\"both\"===D.constraintext||\"inside\"===D.constraintext,angle:lt,anchor:W,hasB:U,r:g,overhead:y}),st.fontSize=Q.size,f(\"histogram\"===D.type?\"bar\":D.type,st,z),N.transform=st;var ct=M(X,z,w,T);a.setTransormAndDisplay(ct,st)}else r.select(\"text\").remove()}(t,e,R,r,T,H,G,Z,W,rt,it,g,y),e.layerClipId&&l.hideOutsideRangePoint(c,R.select(\"text\"),w,P,h.xcalendar,h.ycalendar)}));var Z=!1===h.cliponaxis;l.setClipUrl(c,Z?null:e.layerClipId,t)}));c.getComponentMethod(\"errorbars\",\"plot\")(t,D,e,g)},toMoveInsideBar:I}},88384:function(t){\"use strict\";function e(t,e,r,n,i){var a=e.c2p(n?t.s0:t.p0,!0),o=e.c2p(n?t.s1:t.p1,!0),s=r.c2p(n?t.p0:t.s0,!0),l=r.c2p(n?t.p1:t.s1,!0);return i?[(a+o)/2,(s+l)/2]:n?[o,(s+l)/2]:[(a+o)/2,l]}t.exports=function(t,r){var n,i=t.cd,a=t.xaxis,o=t.yaxis,s=i[0].trace,l=\"funnel\"===s.type,c=\"h\"===s.orientation,u=[];if(!1===r)for(n=0;n<i.length;n++)i[n].selected=0;else for(n=0;n<i.length;n++){var h=i[n],f=\"ct\"in h?h.ct:e(h,a,o,c,l);r.contains(f,!1,n,t)?(u.push({pointNumber:n,x:a.c2d(h.x),y:o.c2d(h.y)}),h.selected=1):h.selected=0}return u}},2880:function(t,e,r){\"use strict\";t.exports=i;var n=r(34809).distinctVals;function i(t,e){this.traces=t,this.sepNegVal=e.sepNegVal,this.overlapNoMerge=e.overlapNoMerge;for(var r=1/0,i=e.posAxis._id.charAt(0),a=[],o=0;o<t.length;o++){for(var s=t[o],l=0;l<s.length;l++){var c=s[l],u=c.p;void 0===u&&(u=c[i]),void 0!==u&&a.push(u)}s[0]&&s[0].width1&&(r=Math.min(s[0].width1,r))}this.positions=a;var h=n(a);this.distinctPositions=h.vals,1===h.vals.length&&r!==1/0?this.minDiff=r:this.minDiff=Math.min(h.minDiff,r);var 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c(t,e,r){for(var n,o,l,c=t.cd,u=t.xa,h=t.ya,f=c[0].trace,p=u.c2p(e),d=h.c2p(r),m=a.quadrature((function(t){var e=Math.max(3,t.mrc||0);return Math.max(Math.abs(u.c2p(t.x)-p)-e,1-3/e)}),(function(t){var e=Math.max(3,t.mrc||0);return Math.max(Math.abs(h.c2p(t.y)-d)-e,1-3/e)})),g=!1,y=0;y<c.length;y++){o=c[y];for(var v=0;v<(o.pts||[]).length;v++){var x=m(l=o.pts[v]);x<=t.distance&&(t.distance=x,g=[y,v])}}if(!g)return!1;l=(o=c[g[0]]).pts[g[1]];var _=u.c2p(l.x,!0),b=h.c2p(l.y,!0),w=l.mrc||1;n=i.extendFlat({},t,{index:l.i,color:(f.marker||{}).color,name:f.name,x0:_-w,x1:_+w,y0:b-w,y1:b+w,spikeDistance:t.distance,hovertemplate:f.hovertemplate});var T,k=o.orig_p,A=void 0!==k?k:o.pos;return\"h\"===f.orientation?(T=h,n.xLabelVal=l.x,n.yLabelVal=A):(T=u,n.xLabelVal=A,n.yLabelVal=l.y),n[T._id.charAt(0)+\"Spike\"]=T.c2p(o.pos,!0),s(l,f,n),n}t.exports={hoverPoints:function(t,e,r,n){var i,a=t.cd[0].trace.hoveron,o=[];return-1!==a.indexOf(\"boxes\")&&(o=o.concat(l(t,e,r,n))),-1!==a.indexOf(\"points\")&&(i=c(t,e,r)),\"closest\"===n?i?[i]:o:i?(o.push(i),o):o},hoverOnBoxes:l,hoverOnPoints:c}},53794:function(t,e,r){\"use strict\";t.exports={attributes:r(64625),layoutAttributes:r(64636),supplyDefaults:r(62294).supplyDefaults,crossTraceDefaults:r(62294).crossTraceDefaults,supplyLayoutDefaults:r(65067).supplyLayoutDefaults,calc:r(89429),crossTraceCalc:r(81606).crossTraceCalc,plot:r(95419).plot,style:r(59979).style,styleOnSelect:r(59979).styleOnSelect,hoverPoints:r(11448).hoverPoints,eventData:r(76429),selectPoints:r(72488),moduleType:\"trace\",name:\"box\",basePlotModule:r(37703),categories:[\"cartesian\",\"svg\",\"symbols\",\"oriented\",\"box-violin\",\"showLegend\",\"boxLayout\",\"zoomScale\"],meta:{}}},64636:function(t){\"use 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_=t.selectAll(\"path.box\").data(\"violin\"!==r.type||r.box.visible?i.identity:[]);_.enter().append(\"path\").style(\"vector-effect\",o?\"none\":\"non-scaling-stroke\").attr(\"class\",\"box\"),_.exit().remove(),_.each((function(t){if(t.empty)return n.select(this).attr(\"d\",\"M0,0Z\");var e=h.c2l(t.pos+p,!0),a=h.l2p(e-s)+m,o=h.l2p(e+l)+m,_=f?(a+o)/2:h.l2p(e)+m,b=r.whiskerwidth,w=f?a*b+(1-b)*_:h.l2p(e-d)+m,T=f?o*b+(1-b)*_:h.l2p(e+d)+m,k=h.l2p(e-s*x)+m,A=h.l2p(e+l*x)+m,M=\"sd\"===r.sizemode,S=u.c2p(M?t.mean-t.sd:t.q1,!0),E=M?u.c2p(t.mean+t.sd,!0):u.c2p(t.q3,!0),C=i.constrain(M?u.c2p(t.mean,!0):u.c2p(t.med,!0),Math.min(S,E)+1,Math.max(S,E)-1),L=void 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n=r(34809).isArray1D;t.exports=function(t,e,r){var i=r(\"x\"),a=i&&i.length,o=r(\"y\"),s=o&&o.length;if(!a&&!s)return!1;if(e._cheater=!i,a&&!n(i)||s&&!n(o))e._length=null;else{var l=a?i.length:1/0;s&&(l=Math.min(l,o.length)),e.a&&e.a.length&&(l=Math.min(l,e.a.length)),e.b&&e.b.length&&(l=Math.min(l,e.b.length)),e._length=l}return!0}},92802:function(t,e,r){\"use strict\";var n=r(3208).rb,i=r(6893),a=r(87163),o=r(9829),s=r(10229).defaultLine,l=r(93049).extendFlat,c=i.marker.line;t.exports=l({locations:{valType:\"data_array\",editType:\"calc\"},locationmode:i.locationmode,z:{valType:\"data_array\",editType:\"calc\"},geojson:l({},i.geojson,{}),featureidkey:i.featureidkey,text:l({},i.text,{}),hovertext:l({},i.hovertext,{}),marker:{line:{color:l({},c.color,{dflt:s}),width:l({},c.width,{dflt:1}),editType:\"calc\"},opacity:{valType:\"number\",arrayOk:!0,min:0,max:1,dflt:1,editType:\"style\"},editType:\"calc\"},selected:{marker:{opacity:i.selected.marker.opacity,editType:\"plot\"},editType:\"plot\"},unselected:{marker:{opacity:i.unselected.marker.opacity,editType:\"plot\"},editType:\"plot\"},hoverinfo:l({},o.hoverinfo,{editType:\"calc\",flags:[\"location\",\"z\",\"text\",\"name\"]}),hovertemplate:n(),showlegend:l({},o.showlegend,{dflt:!1})},a(\"\",{cLetter:\"z\",editTypeOverride:\"calc\"}))},12702:function(t,e,r){\"use strict\";var 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t.x0=t.x1=t.xa.c2p(o.ct),t.y0=t.y1=t.ya.c2p(o.ct),t.index=o.index,t.location=o.loc,t.z=o.z,t.zLabel=n.tickText(f.mockAxis,f.mockAxis.c2l(o.z),\"hover\").text,t.hovertemplate=o.hovertemplate,function(t,e,r){if(!e.hovertemplate){var n=r.hi||e.hoverinfo,o=String(r.loc),s=\"all\"===n?i.hoverinfo.flags:n.split(\"+\"),l=-1!==s.indexOf(\"name\"),c=-1!==s.indexOf(\"location\"),u=-1!==s.indexOf(\"z\"),h=-1!==s.indexOf(\"text\"),f=[];!l&&c?t.nameOverride=o:(l&&(t.nameOverride=e.name),c&&f.push(o)),u&&f.push(t.zLabel),h&&a(r,e,f),t.extraText=f.join(\"<br>\")}}(t,h,o),[t]}},58075:function(t,e,r){\"use 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d.geojson=null}if(\"geojson\"===n.fitbounds&&\"geojson-id\"===l){var y=a.computeBbox(a.getTraceGeojson(r));h=[y[0],y[2]],f=[y[1],y[3]]}var v={padded:!0};r._extremes.lon=s(n.lonaxis._ax,h,v),r._extremes.lat=s(n.lataxis._ax,f,v)},plot:function(t,e,r){var a=e.layers.backplot.select(\".choroplethlayer\");i.makeTraceGroups(a,r,\"trace choropleth\").each((function(e){var r=n.select(this).selectAll(\"path.choroplethlocation\").data(i.identity);r.enter().append(\"path\").classed(\"choroplethlocation\",!0),r.exit().remove(),l(t,e)}))}}},43727:function(t){\"use strict\";t.exports=function(t,e){var r,n,i,a,o,s=t.cd,l=t.xaxis,c=t.yaxis,u=[];if(!1===e)for(r=0;r<s.length;r++)s[r].selected=0;else for(r=0;r<s.length;r++)(i=(n=s[r]).ct)&&(a=l.c2p(i),o=c.c2p(i),e.contains([a,o],null,r,t)?(u.push({pointNumber:r,lon:i[0],lat:i[1]}),n.selected=1):n.selected=0);return u}},59342:function(t,e,r){\"use strict\";var n=r(45568),i=r(78766),a=r(62203),o=r(88856);function s(t,e){var 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n=r(92802),i=r(87163),a=r(3208).rb,o=r(9829),s=r(93049).extendFlat;t.exports=s({locations:{valType:\"data_array\",editType:\"calc\"},z:{valType:\"data_array\",editType:\"calc\"},geojson:{valType:\"any\",editType:\"calc\"},featureidkey:s({},n.featureidkey,{}),below:{valType:\"string\",editType:\"plot\"},text:n.text,hovertext:n.hovertext,marker:{line:{color:s({},n.marker.line.color,{editType:\"plot\"}),width:s({},n.marker.line.width,{editType:\"plot\"}),editType:\"calc\"},opacity:s({},n.marker.opacity,{editType:\"plot\"}),editType:\"calc\"},selected:{marker:{opacity:s({},n.selected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},unselected:{marker:{opacity:s({},n.unselected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},hoverinfo:n.hoverinfo,hovertemplate:a({},{keys:[\"properties\"]}),showlegend:s({},o.showlegend,{dflt:!1})},i(\"\",{cLetter:\"z\",editTypeOverride:\"calc\"}))},40980:function(t,e,r){\"use strict\";var n=r(10721),i=r(34809),a=r(88856),o=r(62203),s=r(39532).makeBlank,l=r(3994);function c(t){var e,r=t[0].trace,n=r._opts;if(r.selectedpoints){for(var a=o.makeSelectedPointStyleFns(r),s=0;s<t.length;s++){var l=t[s];l.fOut&&(l.fOut.properties.mo2=a.selectedOpacityFn(l))}e={type:\"identity\",property:\"mo2\"}}else e=i.isArrayOrTypedArray(r.marker.opacity)?{type:\"identity\",property:\"mo\"}:r.marker.opacity;return i.extendFlat(n.fill.paint,{\"fill-opacity\":e}),i.extendFlat(n.line.paint,{\"line-opacity\":e}),n}t.exports={convert:function(t){var e=t[0].trace,r=!0===e.visible&&0!==e._length,o={layout:{visibility:\"none\"},paint:{}},u={layout:{visibility:\"none\"},paint:{}},h=e._opts={fill:o,line:u,geojson:s()};if(!r)return h;var f=l.extractTraceFeature(t);if(!f)return h;var p,d,m,g=a.makeColorScaleFuncFromTrace(e),y=e.marker,v=y.line||{};i.isArrayOrTypedArray(y.opacity)&&(p=function(t){var e=t.mo;return n(e)?+i.constrain(e,0,1):0}),i.isArrayOrTypedArray(v.color)&&(d=function(t){return t.mlc}),i.isArrayOrTypedArray(v.width)&&(m=function(t){return t.mlw});for(var x=0;x<t.length;x++){var _=t[x],b=_.fOut;if(b){var w=b.properties;w.fc=g(_.z),p&&(w.mo=p(_)),d&&(w.mlc=d(_)),m&&(w.mlw=m(_)),_.ct=w.ct,_._polygons=l.feature2polygons(b)}}var T=p?{type:\"identity\",property:\"mo\"}:y.opacity;return i.extendFlat(o.paint,{\"fill-color\":{type:\"identity\",property:\"fc\"},\"fill-opacity\":T}),i.extendFlat(u.paint,{\"line-color\":d?{type:\"identity\",property:\"mlc\"}:v.color,\"line-width\":m?{type:\"identity\",property:\"mlw\"}:v.width,\"line-opacity\":T}),o.layout.visibility=\"visible\",u.layout.visibility=\"visible\",h.geojson={type:\"FeatureCollection\",features:f},c(t),h},convertOnSelect:c}},94149:function(t,e,r){\"use strict\";var n=r(34809),i=r(39356),a=r(34770);t.exports=function(t,e,r,o){function s(r,i){return n.coerce(t,e,a,r,i)}var l=s(\"locations\"),c=s(\"z\"),u=s(\"geojson\");n.isArrayOrTypedArray(l)&&l.length&&n.isArrayOrTypedArray(c)&&c.length&&(\"string\"==typeof u&&\"\"!==u||n.isPlainObject(u))?(s(\"featureidkey\"),e._length=Math.min(l.length,c.length),s(\"below\"),s(\"text\"),s(\"hovertext\"),s(\"hovertemplate\"),s(\"marker.line.width\")&&s(\"marker.line.color\"),s(\"marker.opacity\"),i(t,e,o,s,{prefix:\"\",cLetter:\"z\"}),n.coerceSelectionMarkerOpacity(e,s)):e.visible=!1}},9419:function(t,e,r){\"use strict\";t.exports={attributes:r(34770),supplyDefaults:r(94149),colorbar:r(12431),calc:r(12702),plot:r(30316),hoverPoints:r(94125),eventData:r(38414),selectPoints:r(43727),styleOnSelect:function(t,e){e&&e[0].trace._glTrace.updateOnSelect(e)},getBelow:function(t,e){for(var r=e.getMapLayers(),n=r.length-2;n>=0;n--){var i=r[n].id;if(\"string\"==typeof i&&0===i.indexOf(\"water\"))for(var a=n+1;a<r.length;a++)if(\"string\"==typeof(i=r[a].id)&&-1===i.indexOf(\"plotly-\"))return i}},moduleType:\"trace\",name:\"choroplethmap\",basePlotModule:r(34091),categories:[\"map\",\"gl\",\"noOpacity\",\"showLegend\"],meta:{hr_name:\"choropleth_map\"}}},30316:function(t,e,r){\"use strict\";var n=r(40980).convert,i=r(40980).convertOnSelect,a=r(8814).traceLayerPrefix;function o(t,e){this.type=\"choroplethmap\",this.subplot=t,this.uid=e,this.sourceId=\"source-\"+e,this.layerList=[[\"fill\",a+e+\"-fill\"],[\"line\",a+e+\"-line\"]],this.below=null}var s=o.prototype;s.update=function(t){this._update(n(t)),t[0].trace._glTrace=this},s.updateOnSelect=function(t){this._update(i(t))},s._update=function(t){var e=this.subplot,r=this.layerList,n=e.belowLookup[\"trace-\"+this.uid];e.map.getSource(this.sourceId).setData(t.geojson),n!==this.below&&(this._removeLayers(),this._addLayers(t,n),this.below=n);for(var i=0;i<r.length;i++){var a=r[i],o=a[0],s=a[1],l=t[o];e.setOptions(s,\"setLayoutProperty\",l.layout),\"visible\"===l.layout.visibility&&e.setOptions(s,\"setPaintProperty\",l.paint)}},s._addLayers=function(t,e){for(var r=this.subplot,n=this.layerList,i=this.sourceId,a=0;a<n.length;a++){var o=n[a],s=o[0],l=t[s];r.addLayer({type:s,id:o[1],source:i,layout:l.layout,paint:l.paint},e)}},s._removeLayers=function(){for(var t=this.subplot.map,e=this.layerList,r=e.length-1;r>=0;r--)t.removeLayer(e[r][1])},s.dispose=function(){var t=this.subplot.map;this._removeLayers(),t.removeSource(this.sourceId)},t.exports=function(t,e){var r=e[0].trace,i=new o(t,r.uid),a=i.sourceId,s=n(e),l=i.below=t.belowLookup[\"trace-\"+r.uid];return t.map.addSource(a,{type:\"geojson\",data:s.geojson}),i._addLayers(s,l),e[0].trace._glTrace=i,i}},86227:function(t,e,r){\"use strict\";var n=r(92802),i=r(87163),a=r(3208).rb,o=r(9829),s=r(93049).extendFlat;t.exports=s({locations:{valType:\"data_array\",editType:\"calc\"},z:{valType:\"data_array\",editType:\"calc\"},geojson:{valType:\"any\",editType:\"calc\"},featureidkey:s({},n.featureidkey,{}),below:{valType:\"string\",editType:\"plot\"},text:n.text,hovertext:n.hovertext,marker:{line:{color:s({},n.marker.line.color,{editType:\"plot\"}),width:s({},n.marker.line.width,{editType:\"plot\"}),editType:\"calc\"},opacity:s({},n.marker.opacity,{editType:\"plot\"}),editType:\"calc\"},selected:{marker:{opacity:s({},n.selected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},unselected:{marker:{opacity:s({},n.unselected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},hoverinfo:n.hoverinfo,hovertemplate:a({},{keys:[\"properties\"]}),showlegend:s({},o.showlegend,{dflt:!1})},i(\"\",{cLetter:\"z\",editTypeOverride:\"calc\"}))},51335:function(t,e,r){\"use strict\";var n=r(10721),i=r(34809),a=r(88856),o=r(62203),s=r(39532).makeBlank,l=r(3994);function c(t){var e,r=t[0].trace,n=r._opts;if(r.selectedpoints){for(var a=o.makeSelectedPointStyleFns(r),s=0;s<t.length;s++){var l=t[s];l.fOut&&(l.fOut.properties.mo2=a.selectedOpacityFn(l))}e={type:\"identity\",property:\"mo2\"}}else e=i.isArrayOrTypedArray(r.marker.opacity)?{type:\"identity\",property:\"mo\"}:r.marker.opacity;return i.extendFlat(n.fill.paint,{\"fill-opacity\":e}),i.extendFlat(n.line.paint,{\"line-opacity\":e}),n}t.exports={convert:function(t){var e=t[0].trace,r=!0===e.visible&&0!==e._length,o={layout:{visibility:\"none\"},paint:{}},u={layout:{visibility:\"none\"},paint:{}},h=e._opts={fill:o,line:u,geojson:s()};if(!r)return h;var f=l.extractTraceFeature(t);if(!f)return h;var p,d,m,g=a.makeColorScaleFuncFromTrace(e),y=e.marker,v=y.line||{};i.isArrayOrTypedArray(y.opacity)&&(p=function(t){var e=t.mo;return n(e)?+i.constrain(e,0,1):0}),i.isArrayOrTypedArray(v.color)&&(d=function(t){return t.mlc}),i.isArrayOrTypedArray(v.width)&&(m=function(t){return t.mlw});for(var x=0;x<t.length;x++){var _=t[x],b=_.fOut;if(b){var w=b.properties;w.fc=g(_.z),p&&(w.mo=p(_)),d&&(w.mlc=d(_)),m&&(w.mlw=m(_)),_.ct=w.ct,_._polygons=l.feature2polygons(b)}}var T=p?{type:\"identity\",property:\"mo\"}:y.opacity;return i.extendFlat(o.paint,{\"fill-color\":{type:\"identity\",property:\"fc\"},\"fill-opacity\":T}),i.extendFlat(u.paint,{\"line-color\":d?{type:\"identity\",property:\"mlc\"}:v.color,\"line-width\":m?{type:\"identity\",property:\"mlw\"}:v.width,\"line-opacity\":T}),o.layout.visibility=\"visible\",u.layout.visibility=\"visible\",h.geojson={type:\"FeatureCollection\",features:f},c(t),h},convertOnSelect:c}},8244:function(t,e,r){\"use strict\";var n=r(34809),i=r(39356),a=r(86227);t.exports=function(t,e,r,o){function s(r,i){return n.coerce(t,e,a,r,i)}var l=s(\"locations\"),c=s(\"z\"),u=s(\"geojson\");n.isArrayOrTypedArray(l)&&l.length&&n.isArrayOrTypedArray(c)&&c.length&&(\"string\"==typeof 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k=[\"interpolate\",[\"linear\"],[\"get\",\"z\"],_.min,0,_.max,1];return i.extendFlat(c.heatmap.paint,{\"heatmap-weight\":d?k:1/(_.max-_.min),\"heatmap-color\":T,\"heatmap-radius\":m?{type:\"identity\",property:\"r\"}:e.radius,\"heatmap-opacity\":e.opacity}),c.geojson={type:\"FeatureCollection\",features:h},c.heatmap.layout.visibility=\"visible\",c}},1892:function(t,e,r){\"use strict\";var n=r(34809),i=r(39356),a=r(17347);t.exports=function(t,e,r,o){function s(r,i){return n.coerce(t,e,a,r,i)}var l=s(\"lon\")||[],c=s(\"lat\")||[],u=Math.min(l.length,c.length);u?(e._length=u,s(\"z\"),s(\"radius\"),s(\"below\"),s(\"text\"),s(\"hovertext\"),s(\"hovertemplate\"),i(t,e,o,s,{prefix:\"\",cLetter:\"z\"})):e.visible=!1}},8919:function(t){\"use strict\";t.exports=function(t,e){return t.lon=e.lon,t.lat=e.lat,t.z=e.z,t}},54478:function(t,e,r){\"use strict\";var n=r(29714),i=r(18016).hoverPoints,a=r(18016).getExtraText;t.exports=function(t,e,r){var o=i(t,e,r);if(o){var 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n,i=r(81481),a=r(36640).line,o=r(9829),s=r(80712).axisHoverFormat,l=r(3208).rb,c=r(3208).ay,u=r(87948),h=r(93049).extendFlat,f=r(78766);t.exports={x:i.x,x0:i.x0,dx:i.dx,y:i.y,y0:i.y0,dy:i.dy,xperiod:i.xperiod,yperiod:i.yperiod,xperiod0:i.xperiod0,yperiod0:i.yperiod0,xperiodalignment:i.xperiodalignment,yperiodalignment:i.yperiodalignment,xhoverformat:s(\"x\"),yhoverformat:s(\"y\"),hovertext:i.hovertext,hovertemplate:l({},{keys:u.eventDataKeys}),hoverinfo:h({},o.hoverinfo,{flags:[\"name\",\"x\",\"y\",\"text\",\"percent initial\",\"percent previous\",\"percent total\"]}),textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"percent initial\",\"percent previous\",\"percent 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n=r(29714),i=r(40528),a=r(43179),o=r(48861),s=r(63821).BADNUM;function l(t){return t===s?0:t}t.exports=function(t,e){var r,c,u,h,f,p,d,m,g=n.getFromId(t,e.xaxis||\"x\"),y=n.getFromId(t,e.yaxis||\"y\");\"h\"===e.orientation?(r=g.makeCalcdata(e,\"x\"),u=y.makeCalcdata(e,\"y\"),h=i(e,y,\"y\",u),f=!!e.yperiodalignment,p=\"y\"):(r=y.makeCalcdata(e,\"y\"),u=g.makeCalcdata(e,\"x\"),h=i(e,g,\"x\",u),f=!!e.xperiodalignment,p=\"x\"),c=h.vals;var v,x=Math.min(c.length,r.length),_=new Array(x);for(e._base=[],d=0;d<x;d++){r[d]<0&&(r[d]=s);var b=!1;r[d]!==s&&d+1<x&&r[d+1]!==s&&(b=!0),m=_[d]={p:c[d],s:r[d],cNext:b},e._base[d]=-.5*m.s,f&&(_[d].orig_p=u[d],_[d][p+\"End\"]=h.ends[d],_[d][p+\"Start\"]=h.starts[d]),e.ids&&(m.id=String(e.ids[d])),0===d&&(_[0].vTotal=0),_[0].vTotal+=l(m.s),m.begR=l(m.s)/l(_[0].s)}for(d=0;d<x;d++)(m=_[d]).s!==s&&(m.sumR=m.s/_[0].vTotal,m.difR=void 0!==v?m.s/v:1,v=m.s);return a(_,e),o(_,e),_}},87948:function(t){\"use 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P=h.selectAll(\"g.value-bullet\").data([u.gauge.bar]);P.enter().append(\"g\").classed(\"value-bullet\",!0).append(\"rect\"),P.select(\"rect\").attr(\"height\",M).attr(\"y\",(A-M)/2).call(T),w(_)?P.select(\"rect\").transition().duration(_.duration).ease(_.easing).each(\"end\",(function(){b&&b()})).each(\"interrupt\",(function(){b&&b()})).attr(\"width\",Math.max(0,i.c2p(Math.min(u.gauge.axis.range[1],r[0].y)))):P.select(\"rect\").attr(\"width\",\"number\"==typeof r[0].y?Math.max(0,i.c2p(Math.min(u.gauge.axis.range[1],r[0].y))):0),P.exit().remove();var z=r.filter((function(){return 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n=r(71293).wrap,i=r(65477).hasColorscale,a=r(28379),o=r(48965),s=r(62203),l=r(34809),c=r(10721);function u(t,e,r){t.valueInds.push(e),t.count+=r}function h(t,e,r){return{categoryInds:t,color:e,rawColor:r,valueInds:[],count:0}}function f(t,e,r){t.valueInds.push(e),t.count+=r}t.exports=function(t,e){var r=l.filterVisible(e.dimensions);if(0===r.length)return[];var p,d,m,g=r.map((function(t){var e;if(\"trace\"===t.categoryorder)e=null;else if(\"array\"===t.categoryorder)e=t.categoryarray;else{e=o(t.values);for(var r=!0,n=0;n<e.length;n++)if(!c(e[n])){r=!1;break}e.sort(r?l.sorterAsc:void 0),\"category descending\"===t.categoryorder&&(e=e.reverse())}return function(t,e){e=null==e?[]:e.map((function(t){return t}));var r={},n={},i=[];e.forEach((function(t,e){r[t]=0,n[t]=e}));for(var a=0;a<t.length;a++){var o,s=t[a];void 0===r[s]?(r[s]=1,o=e.push(s)-1,n[s]=o):(r[s]++,o=n[s]),i.push(o)}var l=e.map((function(t){return 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t.dimensions}),p);A.enter().append(\"g\").attr(\"class\",\"dimension\"),A.attr(\"transform\",(function(t){return l(t.x,0)})),A.exit().remove();var M=A.selectAll(\"g.category\").data((function(t){return t.categories}),p),S=M.enter().append(\"g\").attr(\"class\",\"category\");M.attr(\"transform\",(function(t){return l(0,t.y)})),S.append(\"rect\").attr(\"class\",\"catrect\").attr(\"pointer-events\",\"none\"),M.select(\"rect.catrect\").attr(\"fill\",\"none\").attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})),T(S);var E=M.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),p);E.each((function(){s.raiseToTop(this)})),E.attr(\"fill\",(function(t){return t.color}));var O=E.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);E.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})).attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"perpendicular\"===t.parcatsViewModel.arrangement?\"ns-resize\":\"move\"})),k(O),E.exit().remove(),S.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\"),M.select(\"text.catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"alignment-baseline\",\"middle\").style(\"fill\",\"rgb(0, 0, 0)\").attr(\"x\",(function(t){return d(t)?t.width+5:-5})).attr(\"y\",(function(t){return t.height/2})).text((function(t){return 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0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){c.font(n.select(this),t.parcatsViewModel.labelfont)})),M.selectAll(\"rect.bandrect\").on(\"mouseover\",C).on(\"mouseout\",L),M.exit().remove(),A.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on(\"dragstart\",I).on(\"drag\",P).on(\"dragend\",z)),f.each((function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll(\"g.paths\").selectAll(\"path.path\"),t.dimensionSelection=n.select(this).selectAll(\"g.dimensions\").selectAll(\"g.dimension\")})),f.exit().remove()}function p(t){return t.key}function d(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function m(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function 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_=t.parcatsViewModel.x+i,b=t.parcatsViewModel.y+a,T=u.mostReadable(t.model.color,[\"black\",\"white\"]),k=t.model.count,A=k/t.parcatsViewModel.model.count,M={countLabel:k,probabilityLabel:A.toFixed(3)},S=[];-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&S.push([\"Count:\",M.countLabel].join(\" \")),-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&S.push([\"P:\",M.probabilityLabel].join(\" \"));var E=S.join(\"<br>\"),C=n.mouse(h)[0];o.loneHover({trace:f,x:_-d.left+m.left,y:b-d.top+m.top,text:E,color:t.model.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:10,fontColor:T,idealAlign:C<_?\"right\":\"left\",hovertemplate:(f.line||{}).hovertemplate,hovertemplateLabels:M,eventData:[{data:f._input,fullData:f,count:k,probability:A}]},{container:p._hoverlayer.node(),outerContainer:p._paper.node(),gd:h})}}}function y(t){if(!t.parcatsViewModel.dragDimension&&(b(n.select(this)),o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(m),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\"))){var e=v(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_unhover\",{points:e,event:n.event,constraints:r})}}function v(t){for(var e=[],r=O(t.parcatsViewModel),n=0;n<t.model.valueInds.length;n++){var i=t.model.valueInds[n];e.push({curveNumber:r,pointNumber:i})}return e}function x(t){for(var e={},r=t.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var i=r[n],a=i.categories[t.model.categoryInds[n]];e[i.containerInd]=a.categoryValue}return void 0!==t.model.rawColor&&(e.color=t.model.rawColor),e}function _(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){var e=v(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_click\",{points:e,event:n.event,constraints:r})}}function b(t){t.attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",.6).attr(\"stroke\",\"lightgray\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1)}function w(t){t.attr(\"fill-opacity\",.8).attr(\"stroke\",(function(t){return u.mostReadable(t.model.color,[\"black\",\"white\"])})).attr(\"stroke-width\",.3)}function T(t){t.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",1).attr(\"stroke-opacity\",1)}function k(t){t.attr(\"stroke\",\"black\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1).attr(\"fill-opacity\",1)}function A(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter((function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color}))}function M(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=n.select(t.parentNode).selectAll(\"rect.bandrect\"),l=[];s.each((function(t){A(t).each((function(t){Array.prototype.push.apply(l,v(t))}))}));var c={};c[a.dimensionInd]=a.categoryValue,o.emit(e,{points:l,event:r,constraints:c})}function S(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=A(i),l=[];s.each((function(t){Array.prototype.push.apply(l,v(t))}));var c={};c[a.dimensionInd]=a.categoryValue,void 0!==i.rawColor&&(c.color=i.rawColor),o.emit(e,{points:l,event:r,constraints:c})}function E(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=n.select(r.parentNode).select(\"rect.catrect\"),c=l.node().getBoundingClientRect(),u=l.datum(),h=u.parcatsViewModel,f=h.model.dimensions[u.model.dimensionInd],p=h.trace,d=c.top+c.height/2;h.dimensions.length>1&&f.displayInd===h.dimensions.length-1?(i=c.left,a=\"left\"):(i=c.left+c.width,a=\"right\");var m=u.model.count,g=u.model.categoryLabel,y=m/u.parcatsViewModel.model.count,v={countLabel:m,categoryLabel:g,probabilityLabel:y.toFixed(3)},x=[];-1!==u.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&x.push([\"Count:\",v.countLabel].join(\" \")),-1!==u.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&x.push([\"P(\"+v.categoryLabel+\"):\",v.probabilityLabel].join(\" \"));var _=x.join(\"<br>\");return{trace:p,x:o*(i-e.left),y:s*(d-e.top),text:_,color:\"lightgray\",borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", 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e=A(t);w(e),e.each((function(){s.raiseToTop(this)}))})),n.select(t.parentNode).select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",2.5)}(c),M(c,\"plotly_hover\",n.event)),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\")&&(\"category\"===l?e=E(r,a,c):\"color\"===l?e=function(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=r.getBoundingClientRect(),c=n.select(r).datum(),h=c.categoryViewModel,f=h.parcatsViewModel,p=f.model.dimensions[h.model.dimensionInd],d=f.trace,m=l.y+l.height/2;f.dimensions.length>1&&p.displayInd===f.dimensions.length-1?(i=l.left,a=\"left\"):(i=l.left+l.width,a=\"right\");var g=h.model.categoryLabel,y=c.parcatsViewModel.model.count,v=0;c.categoryViewModel.bands.forEach((function(t){t.color===c.color&&(v+=t.count)}));var x=h.model.count,_=0;f.pathSelection.each((function(t){t.model.color===c.color&&(_+=t.model.count)}));var b=v/y,w=v/_,T=v/x,k={countLabel:v,categoryLabel:g,probabilityLabel:b.toFixed(3)},A=[];-1!==h.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&A.push([\"Count:\",k.countLabel].join(\" \")),-1!==h.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&(A.push(\"P(color ∩ \"+g+\"): \"+k.probabilityLabel),A.push(\"P(\"+g+\" | color): \"+w.toFixed(3)),A.push(\"P(color | \"+g+\"): \"+T.toFixed(3)));var M=A.join(\"<br>\"),S=u.mostReadable(c.color,[\"black\",\"white\"]);return{trace:d,x:o*(i-e.left),y:s*(m-e.top),text:M,color:c.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontColor:S,fontSize:10,idealAlign:a,hovertemplate:d.hovertemplate,hovertemplateLabels:k,eventData:[{data:d._input,fullData:d,category:g,count:y,probability:b,categorycount:x,colorcount:_,bandcolorcount:v}]}}(r,a,c):\"dimension\"===l&&(e=function(t,e,r){var i=[];return n.select(r.parentNode.parentNode).selectAll(\"g.category\").select(\"rect.catrect\").each((function(){i.push(E(t,e,this))})),i}(r,a,c)),e&&o.loneHover(e,{container:i._hoverlayer.node(),outerContainer:i._paper.node(),gd:r}))}}function L(t){var e=t.parcatsViewModel;e.dragDimension||(b(e.pathSelection),T(e.dimensionSelection.selectAll(\"g.category\")),k(e.dimensionSelection.selectAll(\"g.category\").selectAll(\"rect.bandrect\")),o.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(m),-1!==e.hoverinfoItems.indexOf(\"skip\"))||(\"color\"===t.parcatsViewModel.hoveron?S(this,\"plotly_unhover\",n.event):M(this,\"plotly_unhover\",n.event))}function I(t){\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll(\"g.category\").select(\"rect.catrect\").each((function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,s.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll(\"rect.bandrect\").each((function(e){e.y<i&&i<=e.y+e.height&&(t.potentialClickBand=this)})))})),t.parcatsViewModel.dragDimension=t,o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function P(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,i=e+1,a=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=a.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var s=o.model.dragY,l=o.model.displayInd,c=a.categories,u=c[l-1],h=c[l+1];void 0!==u&&s<u.y+u.height/2&&(o.model.displayInd=u.model.displayInd,u.model.displayInd=l),void 0!==h&&s+o.height>h.y+h.height/2&&(o.model.displayInd=h.model.displayInd,h.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||\"freeform\"===t.parcatsViewModel.arrangement){a.model.dragX=n.event.x;var f=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[i];void 0!==f&&a.model.dragX<f.x+f.width&&(a.model.displayInd=f.model.displayInd,f.model.displayInd=e),void 0!==p&&a.model.dragX+a.width>p.x&&(a.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=a.model.displayInd}j(t.parcatsViewModel),N(t.parcatsViewModel),R(t.parcatsViewModel),D(t.parcatsViewModel)}}function z(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll(\"text\").attr(\"font-weight\",\"normal\");var e={},r=O(t.parcatsViewModel),i=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),o=t.initialDragDimensionDisplayInds.some((function(t,e){return t!==i[e]}));o&&i.forEach((function(r,n){var i=t.parcatsViewModel.model.dimensions[n].containerInd;e[\"dimensions[\"+i+\"].displayindex\"]=r}));var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map((function(t){return t.displayInd}));if(s=t.initialDragCategoryDisplayInds.some((function(t,e){return t!==l[e]}))){var c=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),u=c.map((function(t){return t.categoryValue})),h=c.map((function(t){return 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e,r;d(t)?(e=t.width+5,r=\"start\"):(e=-5,r=\"end\"),n.select(this).selectAll(\"tspan\").attr(\"x\",e).attr(\"text-anchor\",r)}));var a=i.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),p),o=a.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"cursor\",\"move\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);a.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})),k(o),a.each((function(){s.raiseToTop(this)})),a.exit().remove()}function F(t,e,r){var n,i=r[0],a=e.margin||{l:80,r:80,t:100,b:80},o=i.trace,s=o.domain,l=e.width,c=e.height,u=Math.floor(l*(s.x[1]-s.x[0])),h=Math.floor(c*(s.y[1]-s.y[0])),f=s.x[0]*l+a.l,p=e.height-s.y[1]*e.height+a.t,d=o.line.shape;n=\"all\"===o.hoverinfo?[\"count\",\"probability\"]:(o.hoverinfo||\"\").split(\"+\");var 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b=y.categoryInds[_],w=i[_][b],T=a[_];x[T]=n[T][w],n[T][w]+=g;var k=t.dimensions[T].categories[w],A=k.bands.length,M=k.bands[A-1];if(void 0===M||y.rawColor!==M.rawColor){var S=void 0===M?0:M.y+M.height;k.bands.push({key:S,color:y.color,rawColor:y.rawColor,height:g,width:k.width,count:y.count,y:S,categoryViewModel:k,parcatsViewModel:t})}else{var E=k.bands[A-1];E.height+=g,E.count+=y.count}}v=\"hspline\"===t.pathShape?B(s,x,l,g,.5):B(s,x,l,g,0),f[m]={key:y.valueInds[0],model:y,height:g,leftXs:s,topYs:x,dimWidths:l,svgD:v,parcatsViewModel:t}}t.paths=f}function j(t){var e=t.model.dimensions.map((function(t){return{displayInd:t.displayInd,dimensionInd:t.dimensionInd}}));e.sort((function(t,e){return t.displayInd-e.displayInd}));var r=[];for(var n in e){var i=e[n].dimensionInd,a=t.model.dimensions[i];r.push(U(t,a))}t.dimensions=r}function U(t,e){var r,n=t.model.dimensions.length,i=e.displayInd;r=40+(n>1?(t.width-80-16)/(n-1):0)*i;var 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r=e.brush,n=r.filter,a=r.svgBrush;a._dragging||(T(t,e),w(t,e),e.brush.svgBrush.wasDragged=!1),a._dragging=!1,i.event.sourceEvent.stopPropagation();var o=a.grabbingBar;if(a.grabbingBar=!1,a.grabLocation=void 0,e.parent.inBrushDrag=!1,v(),!a.wasDragged)return a.wasDragged=void 0,a.clickableOrdinalRange?r.filterSpecified&&e.multiselect?a.extent.push(a.clickableOrdinalRange):(a.extent=[a.clickableOrdinalRange],r.filterSpecified=!0):o?(a.extent=a.stayingIntervals,0===a.extent.length&&M(r)):M(r),a.brushCallback(e),_(t.parentNode),void a.brushEndCallback(r.filterSpecified?n.getConsolidated():[]);var s=function(){n.set(n.getConsolidated())};if(e.ordinal){var l=e.unitTickvals;l[l.length-1]<l[0]&&l.reverse(),a.newExtent=[p(0,l,a.newExtent[0],a.stayingIntervals),p(1,l,a.newExtent[1],a.stayingIntervals)];var c=a.newExtent[1]>a.newExtent[0];a.extent=a.stayingIntervals.concat(c?[a.newExtent]:[]),a.extent.length||M(r),a.brushCallback(e),c?_(t.parentNode,s):(s(),_(t.parentNode))}else s();a.brushEndCallback(r.filterSpecified?n.getConsolidated():[])}(this,t)})))}function A(t,e){return t[0]-e[0]}function M(t){t.filterSpecified=!1,t.svgBrush.extent=[[-1/0,1/0]]}function S(t){for(var e,r=t.slice(),n=[],i=r.shift();i;){for(e=i.slice();(i=r.shift())&&i[0]<=e[1];)e[1]=Math.max(e[1],i[1]);n.push(e)}return 1===n.length&&n[0][0]>n[0][1]&&(n=[]),n}t.exports={makeBrush:function(t,e,r,n,i,a){var o,l=function(){var t,e,r=[];return{set:function(n){1===(r=n.map((function(t){return t.slice().sort(s)})).sort(A)).length&&r[0][0]===-1/0&&r[0][1]===1/0&&(r=[[0,-1]]),t=S(r),e=r.reduce((function(t,e){return[Math.min(t[0],e[0]),Math.max(t[1],e[1])]}),[1/0,-1/0])},get:function(){return r.slice()},getConsolidated:function(){return t},getBounds:function(){return e}}}();return l.set(r),{filter:l,filterSpecified:e,svgBrush:{extent:[],brushStartCallback:n,brushCallback:(o=i,function(t){var e=t.brush,r=function(t){return t.svgBrush.extent.map((function(t){return t.slice()}))}(e),n=r.slice();e.filter.set(n),o()}),brushEndCallback:a}}},ensureAxisBrush:function(t,e,r){var i=t.selectAll(\".\"+n.cn.axisBrush).data(o,a);i.enter().append(\"g\").classed(n.cn.axisBrush,!0),function(t,e,r){var i=r._context.staticPlot,a=t.selectAll(\".background\").data(o);a.enter().append(\"rect\").classed(\"background\",!0).call(d).call(m).style(\"pointer-events\",i?\"none\":\"auto\").attr(\"transform\",l(0,n.verticalPadding)),a.call(k).attr(\"height\",(function(t){return t.height-n.verticalPadding}));var s=t.selectAll(\".highlight-shadow\").data(o);s.enter().append(\"line\").classed(\"highlight-shadow\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width+n.bar.strokeWidth).attr(\"stroke\",e).attr(\"opacity\",n.bar.strokeOpacity).attr(\"stroke-linecap\",\"butt\"),s.attr(\"y1\",(function(t){return t.height})).call(x);var c=t.selectAll(\".highlight\").data(o);c.enter().append(\"line\").classed(\"highlight\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width-n.bar.strokeWidth).attr(\"stroke\",n.bar.fillColor).attr(\"opacity\",n.bar.fillOpacity).attr(\"stroke-linecap\",\"butt\"),c.attr(\"y1\",(function(t){return t.height})).call(x)}(i,e,r)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map((function(t){return t.sort(s)})),t=e.multiselect?S(t.sort(A)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map((function(t){var e=[p(0,r,t[0],[]),p(1,r,t[1],[])];if(e[1]>e[0])return e})).filter((function(t){return t}))).length)return}return t.length>1?t:t[0]}}},79846:function(t,e,r){\"use strict\";t.exports={attributes:r(59549),supplyDefaults:r(12842),calc:r(20113),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcoords\",basePlotModule:r(67207),categories:[\"gl\",\"regl\",\"noOpacity\",\"noHover\"],meta:{}}},67207:function(t,e,r){\"use strict\";var n=r(45568),i=r(4173).eV,a=r(58823),o=r(62972);e.name=\"parcoords\",e.plot=function(t){var e=i(t.calcdata,\"parcoords\")[0];e.length&&a(t,e)},e.clean=function(t,e,r,n){var i=n._has&&n._has(\"parcoords\"),a=e._has&&e._has(\"parcoords\");i&&!a&&(n._paperdiv.selectAll(\".parcoords\").remove(),n._glimages.selectAll(\"*\").remove())},e.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(\".svg-container\");r.filter((function(t,e){return e===r.size()-1})).selectAll(\".gl-canvas-context, .gl-canvas-focus\").each((function(){var t=this,r=t.toDataURL(\"image/png\");e.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":r,preserveAspectRatio:\"none\",x:0,y:0,width:t.style.width,height:t.style.height})})),window.setTimeout((function(){n.selectAll(\"#filterBarPattern\").attr(\"id\",\"filterBarPattern\")}),60)}},20113:function(t,e,r){\"use strict\";var n=r(34809).isArrayOrTypedArray,i=r(88856),a=r(71293).wrap;t.exports=function(t,e){var r,o;return i.hasColorscale(e,\"line\")&&n(e.line.color)?(r=e.line.color,o=i.extractOpts(e.line).colorscale,i.calc(t,e,{vals:r,containerStr:\"line\",cLetter:\"c\"})):(r=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=.5;return e}(e._length),o=[[0,e.line.color],[1,e.line.color]]),a({lineColor:r,cscale:o})}},77911:function(t){\"use strict\";t.exports={maxDimensionCount:60,overdrag:45,verticalPadding:2,tickDistance:50,canvasPixelRatio:1,blockLineCount:5e3,layers:[\"contextLineLayer\",\"focusLineLayer\",\"pickLineLayer\"],axisTitleOffset:28,axisExtentOffset:10,bar:{width:4,captureWidth:10,fillColor:\"magenta\",fillOpacity:1,snapDuration:150,snapRatio:.25,snapClose:.01,strokeOpacity:1,strokeWidth:1,handleHeight:8,handleOpacity:1,handleOverlap:0},cn:{axisExtentText:\"axis-extent-text\",parcoordsLineLayers:\"parcoords-line-layers\",parcoordsLineLayer:\"parcoords-lines\",parcoords:\"parcoords\",parcoordsControlView:\"parcoords-control-view\",yAxis:\"y-axis\",axisOverlays:\"axis-overlays\",axis:\"axis\",axisHeading:\"axis-heading\",axisTitle:\"axis-title\",axisExtent:\"axis-extent\",axisExtentTop:\"axis-extent-top\",axisExtentTopText:\"axis-extent-top-text\",axisExtentBottom:\"axis-extent-bottom\",axisExtentBottomText:\"axis-extent-bottom-text\",axisBrush:\"axis-brush\"},id:{filterBarPattern:\"filter-bar-pattern\"}}},12842:function(t,e,r){\"use 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s(\"line.colorscale\"),a(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,l,u);o(e,l,u),Array.isArray(m)&&m.length||(e.visible=!1),f(e,m,\"values\",g);var y=n.extendFlat({},l.font,{size:Math.round(l.font.size/1.2)});n.coerceFont(u,\"labelfont\",y),n.coerceFont(u,\"tickfont\",y,{autoShadowDflt:!0}),n.coerceFont(u,\"rangefont\",y),u(\"labelangle\"),u(\"labelside\"),u(\"unselected.line.color\"),u(\"unselected.line.opacity\")}},62935:function(t,e,r){\"use strict\";var n=r(34809).isTypedArray;e.convertTypedArray=function(t){return n(t)?Array.prototype.slice.call(t):t},e.isOrdinal=function(t){return!!t.tickvals},e.isVisible=function(t){return t.visible||!(\"visible\"in t)}},83910:function(t,e,r){\"use strict\";var n=r(79846);n.plot=r(58823),t.exports=n},1293:function(t,e,r){\"use strict\";var n=[\"precision highp float;\",\"\",\"varying vec4 fragColor;\",\"\",\"attribute vec4 p01_04, p05_08, p09_12, p13_16,\",\"               p17_20, p21_24, p25_28, p29_32,\",\"               p33_36, p37_40, p41_44, p45_48,\",\"               p49_52, p53_56, p57_60, colors;\",\"\",\"uniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\",\"             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\",\"\",\"uniform vec2 resolution, viewBoxPos, viewBoxSize;\",\"uniform float maskHeight;\",\"uniform float drwLayer; // 0: context, 1: focus, 2: pick\",\"uniform vec4 contextColor;\",\"uniform sampler2D maskTexture, palette;\",\"\",\"bool isPick    = (drwLayer > 1.5);\",\"bool isContext = (drwLayer < 0.5);\",\"\",\"const vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\",\"const vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\",\"\",\"float val(mat4 p, mat4 v) {\",\"    return dot(matrixCompMult(p, v) * UNITS, UNITS);\",\"}\",\"\",\"float axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\",\"    float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\",\"    return y1 * (1.0 - ratio) + y2 * ratio;\",\"}\",\"\",\"int iMod(int a, int b) {\",\"    return a - b * (a / b);\",\"}\",\"\",\"bool fOutside(float p, float lo, float hi) {\",\"    return (lo < hi) && (lo > p || p > hi);\",\"}\",\"\",\"bool vOutside(vec4 p, vec4 lo, vec4 hi) {\",\"    return (\",\"        fOutside(p[0], lo[0], hi[0]) ||\",\"        fOutside(p[1], lo[1], hi[1]) ||\",\"        fOutside(p[2], lo[2], hi[2]) ||\",\"        fOutside(p[3], lo[3], hi[3])\",\"    );\",\"}\",\"\",\"bool mOutside(mat4 p, mat4 lo, mat4 hi) {\",\"    return (\",\"        vOutside(p[0], lo[0], hi[0]) ||\",\"        vOutside(p[1], lo[1], hi[1]) ||\",\"        vOutside(p[2], lo[2], hi[2]) ||\",\"        vOutside(p[3], lo[3], hi[3])\",\"    );\",\"}\",\"\",\"bool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    return mOutside(A, loA, hiA) ||\",\"           mOutside(B, loB, hiB) ||\",\"           mOutside(C, loC, hiC) ||\",\"           mOutside(D, loD, hiD);\",\"}\",\"\",\"bool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    mat4 pnts[4];\",\"    pnts[0] = A;\",\"    pnts[1] = B;\",\"    pnts[2] = C;\",\"    pnts[3] = D;\",\"\",\"    for(int i = 0; i < 4; ++i) {\",\"        for(int j = 0; j < 4; ++j) {\",\"            for(int k = 0; k < 4; ++k) {\",\"                if(0 == iMod(\",\"                    int(255.0 * texture2D(maskTexture,\",\"                        vec2(\",\"                            (float(i * 2 + j / 2) + 0.5) / 8.0,\",\"                            (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\",\"                        ))[3]\",\"                    ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\",\"                    2\",\"                )) return true;\",\"            }\",\"        }\",\"    }\",\"    return false;\",\"}\",\"\",\"vec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    float x = 0.5 * sign(v) + 0.5;\",\"    float y = axisY(x, A, B, C, D);\",\"    float z = 1.0 - abs(v);\",\"\",\"    z += isContext ? 0.0 : 2.0 * float(\",\"        outsideBoundingBox(A, B, C, D) ||\",\"        outsideRasterMask(A, B, C, D)\",\"    );\",\"\",\"    return vec4(\",\"        2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\",\"        z,\",\"        1.0\",\"    );\",\"}\",\"\",\"void main() {\",\"    mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\",\"    mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\",\"    mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\",\"    mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\",\"\",\"    float v = colors[3];\",\"\",\"    gl_Position = position(isContext, v, A, B, C, D);\",\"\",\"    fragColor =\",\"        isContext ? vec4(contextColor) :\",\"        isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\",\"}\"].join(\"\\n\"),i=[\"precision highp float;\",\"\",\"varying vec4 fragColor;\",\"\",\"void main() {\",\"    gl_FragColor = fragColor;\",\"}\"].join(\"\\n\"),a=r(77911).maxDimensionCount,o=r(34809),s=1e-6,l=new Uint8Array(4),c=new Uint8Array(4),u={shape:[256,1],format:\"rgba\",type:\"uint8\",mag:\"nearest\",min:\"nearest\"};function h(t,e,r,n,i){var a=t._gl;a.enable(a.SCISSOR_TEST),a.scissor(e,r,n,i),t.clear({color:[0,0,0,0],depth:1})}function f(t,e,r,n,i,a){var o=a.key;r.drawCompleted||(function(t){t.read({x:0,y:0,width:1,height:1,data:l})}(t),r.drawCompleted=!0),function s(l){var c=Math.min(n,i-l*n);0===l&&(window.cancelAnimationFrame(r.currentRafs[o]),delete r.currentRafs[o],h(t,a.scissorX,a.scissorY,a.scissorWidth,a.viewBoxSize[1])),r.clearOnly||(a.count=2*c,a.offset=2*l*n,e(a),l*n+c<i&&(r.currentRafs[o]=window.requestAnimationFrame((function(){s(l+1)}))),r.drawCompleted=!1)}(0)}function p(t,e){for(var r=new Array(256),n=0;n<256;n++)r[n]=t(n/255).concat(e);return r}function d(t,e){return(t>>>8*e)%256/255}function m(t,e,r){for(var n=new Array(8*e),i=0,a=0;a<e;a++)for(var o=0;o<2;o++)for(var 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left\",\"top center\",\"top right\",\"middle center\",\"bottom left\",\"bottom center\",\"bottom right\"],editType:\"plot\"},editType:\"plot\"},domain:i({name:\"pie\",trace:!0,editType:\"calc\"}),hole:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},sort:{valType:\"boolean\",dflt:!0,editType:\"calc\"},direction:{valType:\"enumerated\",values:[\"clockwise\",\"counterclockwise\"],dflt:\"counterclockwise\",editType:\"calc\"},rotation:{valType:\"angle\",dflt:0,editType:\"calc\"},pull:{valType:\"number\",min:0,max:1,dflt:0,arrayOk:!0,editType:\"calc\"},_deprecated:{title:{valType:\"string\",dflt:\"\",editType:\"calc\"},titlefont:c({},h,{}),titleposition:{valType:\"enumerated\",values:[\"top left\",\"top center\",\"top right\",\"middle center\",\"bottom left\",\"bottom center\",\"bottom right\"],editType:\"calc\"}}}},96052:function(t,e,r){\"use strict\";var n=r(44122);e.name=\"pie\",e.plot=function(t,r,i,a){n.plotBasePlot(e.name,t,r,i,a)},e.clean=function(t,r,i,a){n.cleanBasePlot(e.name,t,r,i,a)}},44148:function(t,e,r){\"use strict\";var n=r(10721),i=r(65657),a=r(78766),o={};function s(t){return function(e,r){return!!e&&!!(e=i(e)).isValid()&&(e=a.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e)}}function l(t,e){var r,n=JSON.stringify(t),a=e[n];if(!a){for(a=t.slice(),r=0;r<t.length;r++)a.push(i(t[r]).lighten(20).toHexString());for(r=0;r<t.length;r++)a.push(i(t[r]).darken(20).toHexString());e[n]=a}return a}t.exports={calc:function(t,e){var r,i,a=[],o=t._fullLayout,l=o.hiddenlabels||[],c=e.labels,u=e.marker.colors||[],h=e.values,f=e._length,p=e._hasValues&&f;if(e.dlabel)for(c=new Array(f),r=0;r<f;r++)c[r]=String(e.label0+r*e.dlabel);var d={},m=s(o[\"_\"+e.type+\"colormap\"]),g=0,y=!1;for(r=0;r<f;r++){var v,x,_;if(p){if(v=h[r],!n(v))continue;v=+v}else v=1;void 0!==(x=c[r])&&\"\"!==x||(x=r);var b=d[x=String(x)];void 0===b?(d[x]=a.length,(_=-1!==l.indexOf(x))||(g+=v),a.push({v:v,label:x,color:m(u[r],x),i:r,pts:[r],hidden:_})):(y=!0,(i=a[b]).v+=v,i.pts.push(r),i.hidden||(g+=v),!1===i.color&&u[r]&&(i.color=m(u[r],x)))}return a=a.filter((function(t){return t.v>=0})),(\"funnelarea\"===e.type?y:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=g),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\"pie\");var n=t._fullLayout,i=t.calcdata,a=n[r+\"colorway\"],s=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(a=l(a,o));for(var c=0,u=0;u<i.length;u++){var h=i[u];if(h[0].trace.type===r)for(var f=0;f<h.length;f++){var p=h[f];!1===p.color&&(s[p.label]?p.color=s[p.label]:(s[p.label]=p.color=a[c%a.length],c++))}}},makePullColorFn:s,generateExtendedColors:l}},46979:function(t,e,r){\"use strict\";var n=r(10721),i=r(34809),a=r(55412),o=r(13792).N,s=r(17550).handleText,l=r(34809).coercePattern;function c(t,e){var r=i.isArrayOrTypedArray(t),a=i.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,a?e.length:1/0);if(isFinite(o)||(o=0),o&&a){for(var s,l=0;l<o;l++){var c=e[l];if(n(c)&&c>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}function u(t,e,r,n,i){n(\"marker.line.width\")&&n(\"marker.line.color\",i?void 0:r.paper_bgcolor);var a=n(\"marker.colors\");l(n,\"marker.pattern\",a),t.marker&&!e.marker.pattern.fgcolor&&(e.marker.pattern.fgcolor=t.marker.colors),e.marker.pattern.bgcolor||(e.marker.pattern.bgcolor=r.paper_bgcolor)}t.exports={handleLabelsAndValues:c,handleMarkerDefaults:u,supplyDefaults:function(t,e,r,n){function l(r,n){return i.coerce(t,e,a,r,n)}var h=c(l(\"labels\"),l(\"values\")),f=h.len;if(e._hasLabels=h.hasLabels,e._hasValues=h.hasValues,!e._hasLabels&&e._hasValues&&(l(\"label0\"),l(\"dlabel\")),f){e._length=f,u(t,e,n,l,!0),l(\"scalegroup\");var p,d=l(\"text\"),m=l(\"texttemplate\");if(m||(p=l(\"textinfo\",i.isArrayOrTypedArray(d)?\"text+percent\":\"percent\")),l(\"hovertext\"),l(\"hovertemplate\"),m||p&&\"none\"!==p){var g=l(\"textposition\");s(t,e,n,l,g,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(g)||\"auto\"===g||\"outside\"===g)&&l(\"automargin\"),(\"inside\"===g||\"auto\"===g||Array.isArray(g))&&l(\"insidetextorientation\")}else\"none\"===p&&l(\"textposition\",\"none\");o(e,n,l);var y=l(\"hole\");if(l(\"title.text\")){var v=l(\"title.position\",y?\"middle center\":\"top center\");y||\"middle center\"!==v||(e.title.position=\"top center\"),i.coerceFont(l,\"title.font\",n.font)}l(\"sort\"),l(\"direction\"),l(\"rotation\"),l(\"pull\")}else e.visible=!1}}},50568:function(t,e,r){\"use strict\";var n=r(36040).appendArrayMultiPointValues;t.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,bbox:t.bbox,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),\"funnelarea\"===e.type&&(delete r.v,delete r.i),r}},75067:function(t,e,r){\"use strict\";var n=r(62203),i=r(78766);t.exports=function(t,e,r,a){var o=r.marker.pattern;o&&o.shape?n.pointStyle(t,r,a,e):i.fill(t,e.color)}},37252:function(t,e,r){\"use strict\";var n=r(34809);function i(t){return-1!==t.indexOf(\"e\")?t.replace(/[.]?0+e/,\"e\"):-1!==t.indexOf(\".\")?t.replace(/[.]?0+$/,\"\"):t}e.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+\"%\"},e.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},e.getFirstFilled=function(t,e){if(n.isArrayOrTypedArray(t))for(var r=0;r<e.length;r++){var i=t[e[r]];if(i||0===i||\"\"===i)return i}},e.castOption=function(t,r){return n.isArrayOrTypedArray(t)?e.getFirstFilled(t,r):t||void 0},e.getRotationAngle=function(t){return(\"auto\"===t?0:t)*Math.PI/180}},49913:function(t,e,r){\"use strict\";t.exports={attributes:r(55412),supplyDefaults:r(46979).supplyDefaults,supplyLayoutDefaults:r(13464),layoutAttributes:r(4031),calc:r(44148).calc,crossTraceCalc:r(44148).crossTraceCalc,plot:r(35734).plot,style:r(140),styleOne:r(32891),moduleType:\"trace\",name:\"pie\",basePlotModule:r(96052),categories:[\"pie-like\",\"pie\",\"showLegend\"],meta:{}}},4031:function(t){\"use strict\";t.exports={hiddenlabels:{valType:\"data_array\",editType:\"calc\"},piecolorway:{valType:\"colorlist\",editType:\"calc\"},extendpiecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},13464:function(t,e,r){\"use strict\";var n=r(34809),i=r(4031);t.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"hiddenlabels\"),r(\"piecolorway\",e.colorway),r(\"extendpiecolors\")}},35734:function(t,e,r){\"use strict\";var n=r(45568),i=r(44122),a=r(32141),o=r(78766),s=r(62203),l=r(34809),c=l.strScale,u=l.strTranslate,h=r(30635),f=r(84102),p=f.recordMinTextSize,d=f.clearMinTextSize,m=r(56155).TEXTPAD,g=r(37252),y=r(50568),v=r(34809).isValidTextValue;function x(t,e,r){var i=r[0],o=i.cx,s=i.cy,c=i.trace,u=\"funnelarea\"===c.type;\"_hasHoverLabel\"in c||(c._hasHoverLabel=!1),\"_hasHoverEvent\"in c||(c._hasHoverEvent=!1),t.on(\"mouseover\",(function(t){var r=e._fullLayout,h=e._fullData[c.index];if(!e._dragging&&!1!==r.hovermode){var f=h.hoverinfo;if(Array.isArray(f)&&(f=a.castHoverinfo({hoverinfo:[g.castOption(f,t.pts)],_module:c._module},r,0)),\"all\"===f&&(f=\"label+text+value+percent+name\"),h.hovertemplate||\"none\"!==f&&\"skip\"!==f&&f){var p=t.rInscribed||0,d=o+t.pxmid[0]*(1-p),m=s+t.pxmid[1]*(1-p),v=r.separators,x=[];if(f&&-1!==f.indexOf(\"label\")&&x.push(t.label),t.text=g.castOption(h.hovertext||h.text,t.pts),f&&-1!==f.indexOf(\"text\")){var _=t.text;l.isValidTextValue(_)&&x.push(_)}t.value=t.v,t.valueLabel=g.formatPieValue(t.v,v),f&&-1!==f.indexOf(\"value\")&&x.push(t.valueLabel),t.percent=t.v/i.vTotal,t.percentLabel=g.formatPiePercent(t.percent,v),f&&-1!==f.indexOf(\"percent\")&&x.push(t.percentLabel);var b=h.hoverlabel,w=b.font,T=[];a.loneHover({trace:c,x0:d-p*i.r,x1:d+p*i.r,y:m,_x0:u?o+t.TL[0]:d-p*i.r,_x1:u?o+t.TR[0]:d+p*i.r,_y0:u?s+t.TL[1]:m-p*i.r,_y1:u?s+t.BL[1]:m+p*i.r,text:x.join(\"<br>\"),name:h.hovertemplate||-1!==f.indexOf(\"name\")?h.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:g.castOption(b.bgcolor,t.pts)||t.color,borderColor:g.castOption(b.bordercolor,t.pts),fontFamily:g.castOption(w.family,t.pts),fontSize:g.castOption(w.size,t.pts),fontColor:g.castOption(w.color,t.pts),nameLength:g.castOption(b.namelength,t.pts),textAlign:g.castOption(b.align,t.pts),hovertemplate:g.castOption(h.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[y(t,h)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],c._hasHoverLabel=!0}c._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[y(t,h)],event:n.event})}})),t.on(\"mouseout\",(function(t){var r=e._fullLayout,i=e._fullData[c.index],o=n.select(this).datum();c._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[y(o,i)],event:n.event}),c._hasHoverEvent=!1),c._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),c._hasHoverLabel=!1)})),t.on(\"click\",(function(t){var r=e._fullLayout,i=e._fullData[c.index];e._dragging||!1===r.hovermode||(e._hoverdata=[y(t,i)],a.click(e,n.event))}))}function _(t,e,r){var n=g.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=g.castOption(t._input.textfont.color,e.pts));var i=g.castOption(t.insidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.insidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size,s=g.castOption(t.insidetextfont.weight,e.pts)||g.castOption(t.textfont.weight,e.pts)||r.weight,l=g.castOption(t.insidetextfont.style,e.pts)||g.castOption(t.textfont.style,e.pts)||r.style,c=g.castOption(t.insidetextfont.variant,e.pts)||g.castOption(t.textfont.variant,e.pts)||r.variant,u=g.castOption(t.insidetextfont.textcase,e.pts)||g.castOption(t.textfont.textcase,e.pts)||r.textcase,h=g.castOption(t.insidetextfont.lineposition,e.pts)||g.castOption(t.textfont.lineposition,e.pts)||r.lineposition,f=g.castOption(t.insidetextfont.shadow,e.pts)||g.castOption(t.textfont.shadow,e.pts)||r.shadow;return{color:n||o.contrast(e.color),family:i,size:a,weight:s,style:l,variant:c,textcase:u,lineposition:h,shadow:f}}function b(t,e){for(var r,n,i=0;i<t.length;i++)if((n=(r=t[i][0]).trace).title.text){var a=n.title.text;n._meta&&(a=l.templateString(a,n._meta));var o=s.tester.append(\"text\").attr(\"data-notex\",1).text(a).call(s.font,n.title.font).call(h.convertToTspans,e),c=s.bBox(o.node(),!0);r.titleBox={width:c.width,height:c.height},o.remove()}}function w(t,e,r){var n=r.r||e.rpx1,i=e.rInscribed;if(e.startangle===e.stopangle)return{rCenter:1-i,scale:0,rotate:0,textPosAngle:0};var a,o=e.ring,s=1===o&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,l=e.halfangle,c=e.midangle,u=r.trace.insidetextorientation,h=\"horizontal\"===u,f=\"tangential\"===u,p=\"radial\"===u,d=\"auto\"===u,m=[];if(!d){var g,y=function(r,i){if(function(t,e){var r=t.startangle,n=t.stopangle;return r>e&&e>n||r<e&&e<n}(e,r)){var s=Math.abs(r-e.startangle),l=Math.abs(r-e.stopangle),c=s<l?s:l;(a=\"tan\"===i?k(t,n,o,c,0):T(t,n,o,c,Math.PI/2)).textPosAngle=r,m.push(a)}};if(h||f){for(g=4;g>=-4;g-=2)y(Math.PI*g,\"tan\");for(g=4;g>=-4;g-=2)y(Math.PI*(g+1),\"tan\")}if(h||p){for(g=4;g>=-4;g-=2)y(Math.PI*(g+1.5),\"rad\");for(g=4;g>=-4;g-=2)y(Math.PI*(g+.5),\"rad\")}}if(s||d||h){var v=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/v,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;m.push(a)}(d||p)&&((a=T(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,m.push(a)),(d||f)&&((a=k(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,m.push(a));for(var x=0,_=0,b=0;b<m.length;b++){var w=m[b].scale;if(_<w&&(_=w,x=b),!d&&_>=1)break}return m[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*m);var a=t.width/t.height,o=S(a,n,e,r);return{scale:2*o/t.height,rCenter:A(a,o/e),rotate:M(i)}}function k(t,e,r,n,i){e=Math.max(0,e-2*m);var a=t.height/t.width,o=S(a,n,e,r);return{scale:2*o/t.width,rCenter:A(a,o/e),rotate:M(i+Math.PI/2)}}function A(t,e){return Math.cos(e)-t*e}function M(t){return(180/Math.PI*t+720)%180-90}function S(t,e,r,n){var i=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(i*i+.5)+i),n/(Math.sqrt(t*t+n/2)+t))}function E(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function C(t,e){var r=e.pxmid[0],n=e.pxmid[1],i=t.width/2,a=t.height/2;return r<0&&(i*=-1),n<0&&(a*=-1),{scale:1,rCenter:1,rotate:0,x:i+Math.abs(a)*(i>0?1:-1)/2,y:a/(1+r*r/(n*n)),outside:!0}}function L(t,e){var r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=P(a),-1!==a.title.position.indexOf(\"top\")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf(\"bottom\")&&(o.y+=(1+i)*t.r);var l,c=t.r/(void 0===(l=t.trace.aspectratio)?1:l),u=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf(\"left\")?(u+=c,o.x-=(1+i)*c,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf(\"center\")?u*=2:-1!==a.title.position.indexOf(\"right\")&&(u+=c,o.x+=(1+i)*c,s.tx-=t.titleBox.width/2),r=u/t.titleBox.width,n=I(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function I(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function P(t){var e,r=t.pull;if(!r)return 0;if(l.isArrayOrTypedArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function z(t,e){for(var r=[],n=0;n<t.length;n++){var i=t[n][0],a=i.trace,o=a.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);a.title.text&&\"middle center\"!==a.title.position&&(l-=I(i,e));var c=s/2,u=l/2;\"funnelarea\"!==a.type||a.scalegroup||(u/=a.aspectratio),i.r=Math.min(c,u)/(1+P(a)),i.cx=e.l+e.w*(a.domain.x[1]+a.domain.x[0])/2,i.cy=e.t+e.h*(1-a.domain.y[0])-l/2,a.title.text&&-1!==a.title.position.indexOf(\"bottom\")&&(i.cy-=I(i,e)),a.scalegroup&&-1===r.indexOf(a.scalegroup)&&r.push(a.scalegroup)}!function(t,e){for(var r,n,i,a=0;a<e.length;a++){var o=1/0,s=e[a];for(n=0;n<t.length;n++)if((i=(r=t[n][0]).trace).scalegroup===s){var l;if(\"pie\"===i.type)l=r.r*r.r;else if(\"funnelarea\"===i.type){var c,u;i.aspectratio>1?u=(c=r.r)/i.aspectratio:c=(u=r.r)*i.aspectratio,l=(c*=(1+i.baseratio)/2)*u}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if((i=(r=t[n][0]).trace).scalegroup===s){var h=o*r.vTotal;\"funnelarea\"===i.type&&(h/=(1+i.baseratio)/2,h/=i.aspectratio),r.r=Math.sqrt(h)}}}(t,r)}function O(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function D(t,e,r){var n=t._fullLayout,i=r.trace,a=i.texttemplate,o=i.textinfo;if(!a&&o&&\"none\"!==o){var s,c=o.split(\"+\"),u=function(t){return-1!==c.indexOf(t)},h=u(\"label\"),f=u(\"text\"),p=u(\"value\"),d=u(\"percent\"),m=n.separators;if(s=h?[e.label]:[],f){var y=g.getFirstFilled(i.text,e.pts);v(y)&&s.push(y)}p&&s.push(g.formatPieValue(e.v,m)),d&&s.push(g.formatPiePercent(e.v/r.vTotal,m)),e.text=s.join(\"<br>\")}if(a){var x=l.castOption(i,e.i,\"texttemplate\");if(x){var _=function(t){return{label:t.label,value:t.v,valueLabel:g.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:g.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,\"customdata\")}}(e),b=g.getFirstFilled(i.text,e.pts);(v(b)||\"\"===b)&&(_.text=b),e.text=l.texttemplateString(x,_,t._fullLayout._d3locale,_,i._meta||{})}else e.text=\"\"}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}t.exports={plot:function(t,e){var r=t._context.staticPlot,a=t._fullLayout,f=a._size;d(\"pie\",a),b(e,t),z(e,f);var m=l.makeTraceGroups(a._pielayer,e,\"trace\").each((function(e){var d=n.select(this),m=e[0],y=m.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=g.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,c=\"px0\",u=\"px1\";if(\"counterclockwise\"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,c=\"px1\",u=\"px0\"}for(n=O(a,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[c]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=O(a,s),r.midangle=s,n=O(a,s+=l*r.v/2),r.stopangle=s,r[u]=n,r.largeArc=r.v>i.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),d.attr(\"stroke-linejoin\",\"round\"),d.each((function(){var v=n.select(this).selectAll(\"g.slice\").data(e);v.enter().append(\"g\").classed(\"slice\",!0),v.exit().remove();var b=[[[],[]],[[],[]]],T=!1;v.each((function(i,o){if(i.hidden)n.select(this).selectAll(\"path,g\").remove();else{i.pointNumber=i.i,i.curveNumber=y.index,b[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var c=m.cx,u=m.cy,f=n.select(this),d=f.selectAll(\"path.surface\").data([i]);if(d.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":r?\"none\":\"all\"}),f.call(x,t,e),y.pull){var v=+g.castOption(y.pull,i.pts)||0;v>0&&(c+=v*i.pxmid[0],u+=v*i.pxmid[1])}i.cxFinal=c,i.cyFinal=u;var k=y.hole;if(i.v===m.vTotal){var A=\"M\"+(c+i.px0[0])+\",\"+(u+i.px0[1])+I(i.px0,i.pxmid,!0,1)+I(i.pxmid,i.px0,!0,1)+\"Z\";k?d.attr(\"d\",\"M\"+(c+k*i.px0[0])+\",\"+(u+k*i.px0[1])+I(i.px0,i.pxmid,!1,k)+I(i.pxmid,i.px0,!1,k)+\"Z\"+A):d.attr(\"d\",A)}else{var M=I(i.px0,i.px1,!0,1);if(k){var S=1-k;d.attr(\"d\",\"M\"+(c+k*i.px1[0])+\",\"+(u+k*i.px1[1])+I(i.px1,i.px0,!1,k)+\"l\"+S*i.px0[0]+\",\"+S*i.px0[1]+M+\"Z\")}else d.attr(\"d\",\"M\"+c+\",\"+u+\"l\"+i.px0[0]+\",\"+i.px0[1]+M+\"Z\")}D(t,i,m);var E=g.castOption(y.textposition,i.pts),L=f.selectAll(\"g.slicetext\").data(i.text&&\"none\"!==E?[0]:[]);L.enter().append(\"g\").classed(\"slicetext\",!0),L.exit().remove(),L.each((function(){var r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),f=l.ensureUniformFontSize(t,\"outside\"===E?function(t,e,r){return{color:g.castOption(t.outsidetextfont.color,e.pts)||g.castOption(t.textfont.color,e.pts)||r.color,family:g.castOption(t.outsidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,size:g.castOption(t.outsidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size,weight:g.castOption(t.outsidetextfont.weight,e.pts)||g.castOption(t.textfont.weight,e.pts)||r.weight,style:g.castOption(t.outsidetextfont.style,e.pts)||g.castOption(t.textfont.style,e.pts)||r.style,variant:g.castOption(t.outsidetextfont.variant,e.pts)||g.castOption(t.textfont.variant,e.pts)||r.variant,textcase:g.castOption(t.outsidetextfont.textcase,e.pts)||g.castOption(t.textfont.textcase,e.pts)||r.textcase,lineposition:g.castOption(t.outsidetextfont.lineposition,e.pts)||g.castOption(t.textfont.lineposition,e.pts)||r.lineposition,shadow:g.castOption(t.outsidetextfont.shadow,e.pts)||g.castOption(t.textfont.shadow,e.pts)||r.shadow}}(y,i,a.font):_(y,i,a.font));r.text(i.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,f).call(h.convertToTspans,t);var d,v=s.bBox(r.node());if(\"outside\"===E)d=C(v,i);else if(d=w(v,i,m),\"auto\"===E&&d.scale<1){var x=l.ensureUniformFontSize(t,y.outsidetextfont);r.call(s.font,x),d=C(v=s.bBox(r.node()),i)}var b=d.textPosAngle,k=void 0===b?i.pxmid:O(m.r,b);if(d.targetX=c+k[0]*d.rCenter+(d.x||0),d.targetY=u+k[1]*d.rCenter+(d.y||0),R(d,v),d.outside){var A=d.targetY;i.yLabelMin=A-v.height/2,i.yLabelMid=A,i.yLabelMax=A+v.height/2,i.labelExtraX=0,i.labelExtraY=0,T=!0}d.fontSize=f.size,p(y.type,d,a),e[o].transform=d,l.setTransormAndDisplay(r,d)}))}function I(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*m.r+\",\"+n*m.r+\" 0 \"+i.largeArc+(r?\" 1 \":\" 0 \")+a+\",\"+o}}));var k=n.select(this).selectAll(\"g.titletext\").data(y.title.text?[0]:[]);if(k.enter().append(\"g\").classed(\"titletext\",!0),k.exit().remove(),k.each((function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),i=y.title.text;y._meta&&(i=l.templateString(i,y._meta)),r.text(i).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,y.title.font).call(h.convertToTspans,t),e=\"middle center\"===y.title.position?function(t){var e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(m):L(m,f),r.attr(\"transform\",u(e.x,e.y)+c(Math.min(1,e.scale))+u(e.tx,e.ty))})),T&&function(t,e){var r,n,i,a,o,s,c,u,h,f,p,d,m;function y(t,e){return t.pxmid[1]-e.pxmid[1]}function v(t,e){return e.pxmid[1]-t.pxmid[1]}function x(t,r){r||(r={});var i,u,h,p,d=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),m=n?t.yLabelMin:t.yLabelMax,y=n?t.yLabelMax:t.yLabelMin,v=t.cyFinal+o(t.px0[1],t.px1[1]),x=d-m;if(x*c>0&&(t.labelExtraY=x),l.isArrayOrTypedArray(e.pull))for(u=0;u<f.length;u++)(h=f[u])===t||(g.castOption(e.pull,t.pts)||0)>=(g.castOption(e.pull,h.pts)||0)||((t.pxmid[1]-h.pxmid[1])*c>0?(x=h.cyFinal+o(h.px0[1],h.px1[1])-m-t.labelExtraY)*c>0&&(t.labelExtraY+=x):(y+t.labelExtraY-v)*c>0&&(i=3*s*Math.abs(u-f.indexOf(t)),(p=h.cxFinal+a(h.px0[0],h.px1[0])+i-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=p)))}for(n=0;n<2;n++)for(i=n?y:v,o=n?Math.max:Math.min,c=n?1:-1,r=0;r<2;r++){for(a=r?Math.max:Math.min,s=r?1:-1,(u=t[n][r]).sort(i),h=t[1-n][r],f=h.concat(u),d=[],p=0;p<u.length;p++)void 0!==u[p].yLabelMid&&d.push(u[p]);for(m=!1,p=0;n&&p<h.length;p++)if(void 0!==h[p].yLabelMid){m=h[p];break}for(p=0;p<d.length;p++){var _=p&&d[p-1];m&&!p&&(_=m),x(d[p],_)}}}(b,y),function(t,e){t.each((function(t){var r=n.select(this);if(t.labelExtraX||t.labelExtraY){var i=r.select(\"g.slicetext text\");t.transform.targetX+=t.labelExtraX,t.transform.targetY+=t.labelExtraY,l.setTransormAndDisplay(i,t.transform);var a=t.cxFinal+t.pxmid[0],s=\"M\"+a+\",\"+(t.cyFinal+t.pxmid[1]),c=(t.yLabelMax-t.yLabelMin)*(t.pxmid[0]<0?-1:1)/4;if(t.labelExtraX){var u=t.labelExtraX*t.pxmid[1]/t.pxmid[0],h=t.yLabelMid+t.labelExtraY-(t.cyFinal+t.pxmid[1]);Math.abs(u)>Math.abs(h)?s+=\"l\"+h*t.pxmid[0]/t.pxmid[1]+\",\"+h+\"H\"+(a+t.labelExtraX+c):s+=\"l\"+t.labelExtraX+\",\"+u+\"v\"+(h-u)+\"h\"+c}else s+=\"V\"+(t.yLabelMid+t.labelExtraY)+\"h\"+c;l.ensureSingle(r,\"path\",\"textline\").call(o.stroke,e.outsidetextfont.color).attr({\"stroke-width\":Math.min(2,e.outsidetextfont.size/8),d:s,fill:\"none\"})}else r.select(\"path.textline\").remove()}))}(v,y),T&&y.automargin){var A=s.bBox(d.node()),M=y.domain,S=f.w*(M.x[1]-M.x[0]),E=f.h*(M.y[1]-M.y[0]),I=(.5*S-m.r)/f.w,P=(.5*E-m.r)/f.h;i.autoMargin(t,\"pie.\"+y.uid+\".automargin\",{xl:M.x[0]-I,xr:M.x[1]+I,yb:M.y[0]-P,yt:M.y[1]+P,l:Math.max(m.cx-m.r-A.left,0),r:Math.max(A.right-(m.cx+m.r),0),b:Math.max(A.bottom-(m.cy+m.r),0),t:Math.max(m.cy-m.r-A.top,0),pad:5})}}))}));setTimeout((function(){m.selectAll(\"tspan\").each((function(){var t=n.select(this);t.attr(\"dy\")&&t.attr(\"dy\",t.attr(\"dy\"))}))}),0)},formatSliceLabel:D,transformInsideText:w,determineInsideTextFont:_,positionTitleOutside:L,prerenderTitles:b,layoutAreas:z,attachFxHandlers:x,computeTransform:R}},140:function(t,e,r){\"use strict\";var n=r(45568),i=r(32891),a=r(84102).resizeText;t.exports=function(t){var e=t._fullLayout._pielayer.selectAll(\".trace\");a(t,e,\"pie\"),e.each((function(e){var r=e[0].trace,a=n.select(this);a.style({opacity:r.opacity}),a.selectAll(\"path.surface\").each((function(e){n.select(this).call(i,e,r,t)}))}))}},32891:function(t,e,r){\"use strict\";var n=r(78766),i=r(37252).castOption,a=r(75067);t.exports=function(t,e,r,o){var s=r.marker.line,l=i(s.color,e.pts)||n.defaultLine,c=i(s.width,e.pts)||0;t.call(a,e,r,o).style(\"stroke-width\",c).call(n.stroke,l)}},36961:function(t,e,r){\"use strict\";var n=r(36640);t.exports={x:n.x,y:n.y,xy:{valType:\"data_array\",editType:\"calc\"},indices:{valType:\"data_array\",editType:\"calc\"},xbounds:{valType:\"data_array\",editType:\"calc\"},ybounds:{valType:\"data_array\",editType:\"calc\"},text:n.text,marker:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,arrayOk:!1,editType:\"calc\"},blend:{valType:\"boolean\",dflt:null,editType:\"calc\"},sizemin:{valType:\"number\",min:.1,max:2,dflt:.5,editType:\"calc\"},sizemax:{valType:\"number\",min:.1,dflt:20,editType:\"calc\"},border:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},arearatio:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},editType:\"calc\"},editType:\"calc\"},transforms:void 0}},71593:function(t,e,r){\"use strict\";var n=r(99098).gl_pointcloud2d,i=r(34809).isArrayOrTypedArray,a=r(55010),o=r(32919).findExtremes,s=r(11539);function l(t,e){this.scene=t,this.uid=e,this.type=\"pointcloud\",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color=\"rgb(0, 0, 0)\",this.name=\"\",this.hoverinfo=\"all\",this.idToIndex=new Int32Array(0),this.bounds=[0,0,0,0],this.pointcloudOptions={positions:new Float32Array(0),idToIndex:this.idToIndex,sizemin:.5,sizemax:12,color:[0,0,0,1],areaRatio:1,borderColor:[0,0,0,1]},this.pointcloud=n(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}var c=l.prototype;c.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:i(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},c.update=function(t){this.index=t.index,this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=s(t,{})},c.updateFast=function(t){var e,r,n,i,s,l,c=this.xData=this.pickXData=t.x,u=this.yData=this.pickYData=t.y,h=this.pickXYData=t.xy,f=t.xbounds&&t.ybounds,p=t.indices,d=this.bounds;if(h){if(n=h,e=h.length>>>1,f)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(l=0;l<e;l++)i=n[2*l],s=n[2*l+1],i<d[0]&&(d[0]=i),i>d[2]&&(d[2]=i),s<d[1]&&(d[1]=s),s>d[3]&&(d[3]=s);if(p)r=p;else for(r=new Int32Array(e),l=0;l<e;l++)r[l]=l}else for(e=c.length,n=new Float32Array(2*e),r=new Int32Array(e),l=0;l<e;l++)i=c[l],s=u[l],r[l]=l,n[2*l]=i,n[2*l+1]=s,i<d[0]&&(d[0]=i),i>d[2]&&(d[2]=i),s<d[1]&&(d[1]=s),s>d[3]&&(d[3]=s);this.idToIndex=r,this.pointcloudOptions.idToIndex=r,this.pointcloudOptions.positions=n;var m=a(t.marker.color),g=a(t.marker.border.color),y=t.opacity*t.marker.opacity;m[3]*=y,this.pointcloudOptions.color=m;var v=t.marker.blend;null===v&&(v=c.length<100||u.length<100),this.pointcloudOptions.blend=v,g[3]*=y,this.pointcloudOptions.borderColor=g;var x=t.marker.sizemin,_=Math.max(t.marker.sizemax,t.marker.sizemin);this.pointcloudOptions.sizeMin=x,this.pointcloudOptions.sizeMax=_,this.pointcloudOptions.areaRatio=t.marker.border.arearatio,this.pointcloud.update(this.pointcloudOptions);var b=this.scene.xaxis,w=this.scene.yaxis,T=_/2||.5;t._extremes[b._id]=o(b,[d[0],d[2]],{ppad:T}),t._extremes[w._id]=o(w,[d[1],d[3]],{ppad:T})},c.dispose=function(){this.pointcloud.dispose()},t.exports=function(t,e){var r=new l(t,e.uid);return 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l=0;for(T=0;T<r.sourceLinks.length;T++)l+=r.sourceLinks[T].value;for(T=0;T<r.sourceLinks.length;T++)(e=r.sourceLinks[T]).concentrationOut=e.value/l;var u=0;for(T=0;T<r.targetLinks.length;T++)u+=r.targetLinks[T].value;for(T=0;T<r.targetLinks.length;T++)(e=r.targetLinks[T]).concenrationIn=e.value/u}}(),a.node.x.length&&a.node.y.length){for(w=0;w<Math.min(a.node.x.length,a.node.y.length,A.nodes.length);w++)if(a.node.x[w]&&a.node.y[w]){var L=[a.node.x[w]*g,a.node.y[w]*y];A.nodes[w].x0=L[0]-d/2,A.nodes[w].x1=L[0]+d/2;var I=A.nodes[w].y1-A.nodes[w].y0;A.nodes[w].y0=L[1]-I/2,A.nodes[w].y1=L[1]+I/2}\"snap\"===a.arrangement&&function(t){var e,r,n=t.map((function(t,e){return{x0:t.x0,index:e}})).sort((function(t,e){return t.x0-e.x0})),i=[],a=-1,o=-1/0;for(w=0;w<n.length;w++){var s=t[n[w].index];s.x0>o+d&&(a+=1,e=s.x0),o=s.x0,i[a]||(i[a]=[]),i[a].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return i}(x=A.nodes).forEach((function(t){var e,r,n,i=0,a=t.length;for(t.sort((function(t,e){return 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e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:a,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:u.tinyRGB(n),tinyColorAlpha:n.getAlpha(),tinyColorHoverHue:u.tinyRGB(i),tinyColorHoverAlpha:i.getAlpha(),linkPath:M,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,linkArrowLength:t.linkArrowLength,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function M(){return function(t){var e=t.linkArrowLength;if(t.link.circular)return function(t,e){var r=t.width/2,n=t.circularPathData;return\"top\"===t.circularLinkType?\"M \"+(n.targetX-e)+\" \"+(n.targetY+r)+\" L\"+(n.rightInnerExtent-e)+\" \"+(n.targetY+r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 1 \"+(n.rightFullExtent-r-e)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r-e)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 1 \"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent-r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 1 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 0 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 0 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\"+(n.sourceY+n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 1 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 1 \"+(n.rightFullExtent+r-e)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r-e)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 1 \"+(n.rightInnerExtent-e)+\" \"+(n.targetY+r)+\"L\"+(n.targetX-e)+\" \"+(n.targetY+r)+(e>0?\"L\"+n.targetX+\" \"+n.targetY:\"\")+\"Z\"}(t.link,e);var r=Math.abs((t.link.target.x0-t.link.source.x1)/2);e>r&&(e=r);var n=t.link.source.x1,a=t.link.target.x0-e,o=i(n,a),s=o(.5),l=o(.5),c=t.link.y0-t.link.width/2,u=t.link.y0+t.link.width/2,h=t.link.y1-t.link.width/2,f=t.link.y1+t.link.width/2,p=\"M\"+n+\",\"+c,d=\"C\"+s+\",\"+c+\" \"+l+\",\"+h+\" \"+a+\",\"+h,m=\"C\"+l+\",\"+f+\" \"+s+\",\"+u+\" \"+n+\",\"+u,g=e>0?\"L\"+(a+e)+\",\"+(h+t.link.width/2):\"\";return p+d+(g+=\"L\"+a+\",\"+f)+m+\"Z\"}}function S(t,e){var r=c(e.color),n=l.nodePadAcross,i=t.nodePad/2;e.dx=e.x1-e.x0,e.dy=e.y1-e.y0;var a=e.dx,o=Math.max(.5,e.dy),s=\"node_\"+e.pointNumber;return e.group&&(s=f.randstr()),e.trace=t.trace,e.curveNumber=t.trace.index,{index:e.pointNumber,key:s,partOfGroup:e.partOfGroup||!1,group:e.group,traceId:t.key,trace:t.trace,node:e,nodePad:t.nodePad,nodeLineColor:t.nodeLineColor,nodeLineWidth:t.nodeLineWidth,textFont:t.textFont,size:t.horizontal?t.height:t.width,visibleWidth:Math.ceil(a),visibleHeight:o,zoneX:-n,zoneY:-i,zoneWidth:a+2*n,zoneHeight:o+2*i,labelY:t.horizontal?e.dy/2+1:e.dx/2+1,left:1===e.originalLayer,sizeAcross:t.width,forceLayouts:t.forceLayouts,horizontal:t.horizontal,darkBackground:r.getBrightness()<=128,tinyColorHue:u.tinyRGB(r),tinyColorAlpha:r.getAlpha(),valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,graph:t.graph,arrangement:t.arrangement,uniqueNodeLabelPathId:[t.guid,t.key,s].join(\"_\"),interactionState:t.interactionState,figure:t}}function E(t){t.attr(\"transform\",(function(t){return p(t.node.x0.toFixed(3),t.node.y0.toFixed(3))}))}function C(t){t.call(E)}function L(t,e){t.call(C),e.attr(\"d\",M())}function I(t){t.attr(\"width\",(function(t){return t.node.x1-t.node.x0})).attr(\"height\",(function(t){return t.visibleHeight}))}function P(t){return t.link.width>1||t.linkLineWidth>0}function z(t){return p(t.translateX,t.translateY)+(t.horizontal?\"matrix(1 0 0 1 0 0)\":\"matrix(0 1 1 0 0 0)\")}function O(t,e,r){t.on(\".basic\",null).on(\"mouseover.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.hover(this,t,e),t.interactionState.hovered=[this,t])})).on(\"mousemove.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.follow(this,t),t.interactionState.hovered=[this,t])})).on(\"mouseout.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.unhover(this,t,e),t.interactionState.hovered=!1)})).on(\"click.basic\",(function(t){t.interactionState.hovered&&(r.unhover(this,t,e),t.interactionState.hovered=!1),t.interactionState.dragInProgress||t.partOfGroup||r.select(this,t,e)}))}function D(t,e,r,i){var o=a.behavior.drag().origin((function(t){return{x:t.node.x0+t.visibleWidth/2,y:t.node.y0+t.visibleHeight/2}})).on(\"dragstart\",(function(a){if(\"fixed\"!==a.arrangement&&(f.ensureSingle(i._fullLayout._infolayer,\"g\",\"dragcover\",(function(t){i._fullLayout._dragCover=t})),f.raiseToTop(this),a.interactionState.dragInProgress=a.node,F(a.node),a.interactionState.hovered&&(r.nodeEvents.unhover.apply(0,a.interactionState.hovered),a.interactionState.hovered=!1),\"snap\"===a.arrangement)){var o=a.traceId+\"|\"+a.key;a.forceLayouts[o]?a.forceLayouts[o].alpha(1):function(t,e,r,i){!function(t){for(var e=0;e<t.length;e++)t[e].y=(t[e].y0+t[e].y1)/2,t[e].x=(t[e].x0+t[e].x1)/2}(r.graph.nodes);var a=r.graph.nodes.filter((function(t){return t.originalX===r.node.originalX})).filter((function(t){return!t.partOfGroup}));r.forceLayouts[e]=n.forceSimulation(a).alphaDecay(0).force(\"collide\",n.forceCollide().radius((function(t){return t.dy/2+r.nodePad/2})).strength(1).iterations(l.forceIterations)).force(\"constrain\",function(t,e,r,n){return function(){for(var t=0,i=0;i<r.length;i++){var a=r[i];a===n.interactionState.dragInProgress?(a.x=a.lastDraggedX,a.y=a.lastDraggedY):(a.vx=(a.originalX-a.x)/l.forceTicksPerFrame,a.y=Math.min(n.size-a.dy/2,Math.max(a.dy/2,a.y))),t=Math.max(t,Math.abs(a.vx),Math.abs(a.vy))}!n.interactionState.dragInProgress&&t<.1&&n.forceLayouts[e].alpha()>0&&n.forceLayouts[e].alpha(0)}}(0,e,a,r)).stop()}(0,o,a),function(t,e,r,n,i){window.requestAnimationFrame((function a(){var o;for(o=0;o<l.forceTicksPerFrame;o++)r.forceLayouts[n].tick();if(function(t){for(var e=0;e<t.length;e++)t[e].y0=t[e].y-t[e].dy/2,t[e].y1=t[e].y0+t[e].dy,t[e].x0=t[e].x-t[e].dx/2,t[e].x1=t[e].x0+t[e].dx}(r.graph.nodes),r.sankey.update(r.graph),L(t.filter(B(r)),e),r.forceLayouts[n].alpha()>0)window.requestAnimationFrame(a);else{var 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a=(t.graph.nodes[i].x0+t.graph.nodes[i].x1)/2,o=(t.graph.nodes[i].y0+t.graph.nodes[i].y1)/2;r.push(a/t.figure.width),n.push(o/t.figure.height)}_.call(\"_guiRestyle\",e,{\"node.x\":[r],\"node.y\":[n]},t.trace.index).then((function(){e._fullLayout._dragCover&&e._fullLayout._dragCover.remove()}))}function F(t){t.lastDraggedX=t.x0+t.dx/2,t.lastDraggedY=t.y0+t.dy/2}function B(t){return function(e){return e.node.originalX===t.node.originalX}}t.exports=function(t,e,r,n,i){var o=t._context.staticPlot,s=!1;f.ensureSingle(t._fullLayout._infolayer,\"g\",\"first-render\",(function(){s=!0}));var m=t._fullLayout._dragCover,_=r.filter((function(t){return v(t).trace.visible})).map(k.bind(null,n)),b=e.selectAll(\".\"+l.cn.sankey).data(_,g);b.exit().remove(),b.enter().append(\"g\").classed(l.cn.sankey,!0).style(\"box-sizing\",\"content-box\").style(\"position\",\"absolute\").style(\"left\",0).style(\"shape-rendering\",\"geometricPrecision\").style(\"pointer-events\",o?\"none\":\"auto\").attr(\"transform\",z),b.each((function(e,r){t._fullData[r]._sankey=e;var n=\"bgsankey-\"+e.trace.uid+\"-\"+r;f.ensureSingle(t._fullLayout._draggers,\"rect\",n),t._fullData[r]._bgRect=a.select(\".\"+n),t._fullData[r]._bgRect.style(\"pointer-events\",o?\"none\":\"all\").attr(\"width\",e.width).attr(\"height\",e.height).attr(\"x\",e.translateX).attr(\"y\",e.translateY).classed(\"bgsankey\",!0).style({fill:\"transparent\",\"stroke-width\":0})})),b.transition().ease(l.ease).duration(l.duration).attr(\"transform\",z);var C=b.selectAll(\".\"+l.cn.sankeyLinks).data(y,g);C.enter().append(\"g\").classed(l.cn.sankeyLinks,!0).style(\"fill\",\"none\");var L=C.selectAll(\".\"+l.cn.sankeyLink).data((function(t){return t.graph.links.filter((function(t){return t.value})).map(A.bind(null,t))}),g);L.enter().append(\"path\").classed(l.cn.sankeyLink,!0).call(O,b,i.linkEvents),L.style(\"stroke\",(function(t){return P(t)?u.tinyRGB(c(t.linkLineColor)):t.tinyColorHue})).style(\"stroke-opacity\",(function(t){return P(t)?u.opacity(t.linkLineColor):t.tinyColorAlpha})).style(\"fill\",(function(t){return t.tinyColorHue})).style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})).style(\"stroke-width\",(function(t){return P(t)?t.linkLineWidth:1})).attr(\"d\",M()),L.style(\"opacity\",(function(){return t._context.staticPlot||s||m?1:0})).transition().ease(l.ease).duration(l.duration).style(\"opacity\",1),L.exit().transition().ease(l.ease).duration(l.duration).style(\"opacity\",0).remove();var 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n=r(65477).hasColorscale,i=r(28379),a=r(64726);t.exports=function(t,e){a.hasLines(e)&&n(e,\"line\")&&i(t,e,{vals:e.line.color,containerStr:\"line\",cLetter:\"c\"}),a.hasMarkers(e)&&(n(e,\"marker\")&&i(t,e,{vals:e.marker.color,containerStr:\"marker\",cLetter:\"c\"}),n(e,\"marker.line\")&&i(t,e,{vals:e.marker.line.color,containerStr:\"marker.line\",cLetter:\"c\"}))}},32660:function(t){\"use strict\";t.exports={PTS_LINESONLY:20,minTolerance:.2,toleranceGrowth:10,maxScreensAway:20,eventDataKeys:[]}},75603:function(t,e,r){\"use strict\";var n=r(26544),i=r(24782).setGroupPositions;function a(t,e,r,n,i,a,o){i[n]=!0;var s={i:null,gap:!0,s:0};if(s[o]=r,t.splice(e,0,s),e&&r===t[e-1][o]){var l=t[e-1];s.s=l.s,s.i=l.i,s.gap=l.gap}else a&&(s.s=function(t,e,r,n){var i=t[e-1],a=t[e+1];return a?i?i.s+(a.s-i.s)*(r-i[n])/(a[n]-i[n]):a.s:i.s}(t,e,r,o));e||(t[0].t=t[1].t,t[0].trace=t[1].trace,delete t[1].t,delete 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r.yLabel=c[1].toFixed(3),r}},59420:function(t,e,r){\"use strict\";var n=r(37255),i=r(34809).fillText;t.exports=function(t,e,r,a){var o=n(t,e,r,a);if(o&&!1!==o[0].index){var s=o[0];if(void 0===s.index){var l=1-s.y0/t.ya._length,c=t.xa._length,u=c*l/2,h=c-u;return s.x0=Math.max(Math.min(s.x0,h),u),s.x1=Math.max(Math.min(s.x1,h),u),o}var f=s.cd[s.index];s.a=f.a,s.b=f.b,s.xLabelVal=void 0,s.yLabelVal=void 0;var p=s.trace,d=p._carpet,m=p._module.formatLabels(f,p);s.yLabel=m.yLabel,delete s.text;var g=[];if(!p.hovertemplate){var y=(f.hi||p.hoverinfo).split(\"+\");-1!==y.indexOf(\"all\")&&(y=[\"a\",\"b\",\"text\"]),-1!==y.indexOf(\"a\")&&v(d.aaxis,f.a),-1!==y.indexOf(\"b\")&&v(d.baxis,f.b),g.push(\"y: \"+s.yLabel),-1!==y.indexOf(\"text\")&&i(f,p,g),s.extraText=g.join(\"<br>\")}return o}function v(t,e){var r;r=t.labelprefix&&t.labelprefix.length>0?t.labelprefix.replace(/ = $/,\"\"):t._hovertitle,g.push(r+\": \"+e.toFixed(3)+t.labelsuffix)}}},56534:function(t,e,r){\"use 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n=r(3208).rb,i=r(3208).ay,a=r(19326),o=r(36640),s=r(9829),l=r(87163),c=r(94850).T,u=r(93049).extendFlat,h=r(13582).overrideAll,f=o.marker,p=o.line,d=f.line;t.exports=h({lon:{valType:\"data_array\"},lat:{valType:\"data_array\"},locations:{valType:\"data_array\"},locationmode:{valType:\"enumerated\",values:[\"ISO-3\",\"USA-states\",\"country 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i={opacity:1,text:e.text,texttemplate:e.texttemplate,textposition:e.textposition,textfont:s.extendFlat({},e.textfont)};r.textfont&&s.extendFlat(i.textfont,r.textfont),n=x(t,i)}return n}function k(t,e,r){var n={capSize:2*e.width*r,lineWidth:e.thickness*r,color:e.color};return e.copy_ystyle&&(n=t.error_y),n}var A=m.SYMBOL_SDF_SIZE,M=m.SYMBOL_SIZE,S=m.SYMBOL_STROKE,E={},C=c.symbolFuncs[0](.05*M);function L(t,e){var r,n,a=t.mx;if(\"circle\"===a)return null;var o=c.symbolNumber(a),s=c.symbolFuncs[o%100],l=!!c.symbolNoDot[o%100],u=!!c.symbolNoFill[o%100],h=d.isDotSymbol(a);if(t.ma&&(a+=\"_\"+t.ma),E[a])return E[a];var f=c.getMarkerAngle(t,e);return r=h&&!l?s(1.1*M,f)+C:s(M,f),n=i(r,{w:A,h:A,viewBox:[-M,-M,M,M],stroke:u?S:-S}),E[a]=n,n||null}t.exports={style:function(t,e){var r,n={marker:void 0,markerSel:void 0,markerUnsel:void 0,line:void 0,fill:void 0,errorX:void 0,errorY:void 0,text:void 0,textSel:void 0,textUnsel:void 0},i=t._context.plotGlPixelRatio;if(!0!==e.visible)return n;if(f.hasText(e)&&(n.text=x(t,e),n.textSel=T(t,e,e.selected),n.textUnsel=T(t,e,e.unselected)),f.hasMarkers(e)&&(n.marker=b(0,e),n.markerSel=w(0,e,e.selected),n.markerUnsel=w(0,e,e.unselected),!e.unselected&&l(e.marker.opacity))){var a=e.marker.opacity;for(n.markerUnsel.opacity=new Array(a.length),r=0;r<a.length;r++)n.markerUnsel.opacity[r]=g*a[r]}if(f.hasLines(e)){n.line={overlay:!0,thickness:e.line.width*i,color:e.line.color,opacity:e.opacity};var o=(m.DASHES[e.line.dash]||[1]).slice();for(r=0;r<o.length;++r)o[r]*=e.line.width*i;n.line.dashes=o}return e.error_x&&e.error_x.visible&&(n.errorX=k(e,e.error_x,i)),e.error_y&&e.error_y.visible&&(n.errorY=k(e,e.error_y,i)),e.fill&&\"none\"!==e.fill&&(n.fill={closed:!0,fill:e.fillcolor,thickness:0}),n},markerStyle:b,markerSelection:w,linePositions:function(t,e,r){var n,i,a=r.length,o=a/2;if(f.hasLines(e)&&o)if(\"hv\"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i+2],r[2*i+1]));n.push(r[a-2],r[a-1])}else if(\"hvh\"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var s=(r[2*i]+r[2*i+2])/2;n.push(r[2*i],r[2*i+1],s,r[2*i+1],s,r[2*i+3])}n.push(r[a-2],r[a-1])}else if(\"vhv\"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var l=(r[2*i+1]+r[2*i+3])/2;n.push(r[2*i],r[2*i+1],r[2*i],l,r[2*i+2],l)}n.push(r[a-2],r[a-1])}else if(\"vh\"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+3]));n.push(r[a-2],r[a-1])}else n=r;var c=!1;for(i=0;i<n.length;i++)if(isNaN(n[i])){c=!0;break}var u=c||n.length>m.TOO_MANY_POINTS||f.hasMarkers(e)?\"rect\":\"round\";if(c&&e.connectgaps){var h=n[0],p=n[1];for(i=0;i<n.length;i+=2)isNaN(n[i])||isNaN(n[i+1])?(n[i]=h,n[i+1]=p):(h=n[i],p=n[i+1])}return{join:u,positions:n}},errorBarPositions:function(t,e,r,i,a){var s=o.getComponentMethod(\"errorbars\",\"makeComputeError\"),l=u.getFromId(t,e.xaxis,\"x\"),c=u.getFromId(t,e.yaxis,\"y\"),h=r.length/2,f={};function p(t,i){var a=i._id.charAt(0),o=e[\"error_\"+a];if(o&&o.visible&&(\"linear\"===i.type||\"log\"===i.type)){for(var l=s(o),c={x:0,y:1}[a],u={x:[0,1,2,3],y:[2,3,0,1]}[a],p=new Float64Array(4*h),d=1/0,m=-1/0,g=0,y=0;g<h;g++,y+=4){var v=t[g];if(n(v)){var x=r[2*g+c],_=l(v,g),b=_[0],w=_[1];if(n(b)&&n(w)){var T=v-b,k=v+w;p[y+u[0]]=x-i.c2l(T),p[y+u[1]]=i.c2l(k)-x,p[y+u[2]]=0,p[y+u[3]]=0,d=Math.min(d,v-b),m=Math.max(m,v+w)}}}f[a]={positions:r,errors:p,_bnds:[d,m]}}}return p(i,l),p(a,c),f},textPosition:function(t,e,r,n){var i,a=e._length,o={};if(f.hasMarkers(e)){var s=r.font,c=r.align,u=r.baseline;for(o.offset=new Array(a),i=0;i<a;i++){var h=n.sizes?n.sizes[i]:n.size,p=l(s)?s[i].size:s.size,d=l(c)?c.length>1?c[i]:c[0]:c,m=l(u)?u.length>1?u[i]:u[0]:u,g=y[d],v=y[m],x=h?h/.8+1:0,_=-v*x-.5*v;o.offset[i]=[g*x/p,_/p]}}return o}}},86590:function(t,e,r){\"use strict\";var n=r(34809),i=r(33626),a=r(4075),o=r(92089),s=r(32660),l=r(64726),c=r(99867),u=r(99669),h=r(24272),f=r(98168),p=r(54114),d=r(663);t.exports=function(t,e,r,m){function g(r,i){return n.coerce(t,e,o,r,i)}var y=!!t.marker&&a.isOpenSymbol(t.marker.symbol),v=l.isBubble(t),x=c(t,e,m,g);if(x){u(t,e,m,g),g(\"xhoverformat\"),g(\"yhoverformat\");var _=x<s.PTS_LINESONLY?\"lines+markers\":\"lines\";g(\"text\"),g(\"hovertext\"),g(\"hovertemplate\"),g(\"mode\",_),l.hasMarkers(e)&&(h(t,e,r,m,g,{noAngleRef:!0,noStandOff:!0}),g(\"marker.line.width\",y||v?1:0)),l.hasLines(e)&&(g(\"connectgaps\"),f(t,e,r,m,g),g(\"line.shape\")),l.hasText(e)&&(g(\"texttemplate\"),d(t,e,m,g,{noFontShadow:!0,noFontLineposition:!0,noFontTextcase:!0}));var b=(e.line||{}).color,w=(e.marker||{}).color;g(\"fill\"),\"none\"!==e.fill&&p(t,e,r,g);var T=i.getComponentMethod(\"errorbars\",\"supplyDefaults\");T(t,e,b||w||r,{axis:\"y\"}),T(t,e,b||w||r,{axis:\"x\",inherit:\"y\"}),n.coerceSelectionMarkerOpacity(e,g)}else e.visible=!1}},85686:function(t,e,r){\"use strict\";var n=r(34809),i=r(78766),a=r(20438).DESELECTDIM;t.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,c=l._scene,u=l.index,h=c.selectBatch[u],f=c.unselectBatch[u],p=c.textOptions[u],d=c.textSelectedOptions[u]||{},m=c.textUnselectedOptions[u]||{},g=n.extendFlat({},p);if(h.length||f.length){var y=d.color,v=m.color,x=p.color,_=n.isArrayOrTypedArray(x);for(g.color=new Array(s._length),e=0;e<h.length;e++)r=h[e],g.color[r]=y||(_?x[r]:x);for(e=0;e<f.length;e++){r=f[e];var b=_?x[r]:x;g.color[r]=v||(y?b:i.addOpacity(b,a))}}c.glText[u].update(g)}}},99185:function(t,e,r){\"use strict\";var n=r(15294);t.exports=function(t,e,r){var i=t.i;return\"x\"in t||(t.x=e._x[i]),\"y\"in t||(t.y=e._y[i]),n(t,e,r)}},4075:function(t,e,r){\"use strict\";var n=r(29483);e.isOpenSymbol=function(t){return\"string\"==typeof t?n.OPEN_RE.test(t):t%200>100},e.isDotSymbol=function(t){return\"string\"==typeof t?n.DOT_RE.test(t):t>200}},36544:function(t,e,r){\"use strict\";var n=r(33626),i=r(34809),a=r(11539);function o(t,e,r,o){var s=t.xa,l=t.ya,c=t.distance,u=t.dxy,h=t.index,f={pointNumber:h,x:e[h],y:r[h]};f.tx=i.isArrayOrTypedArray(o.text)?o.text[h]:o.text,f.htx=Array.isArray(o.hovertext)?o.hovertext[h]:o.hovertext,f.data=Array.isArray(o.customdata)?o.customdata[h]:o.customdata,f.tp=Array.isArray(o.textposition)?o.textposition[h]:o.textposition;var p=o.textfont;p&&(f.ts=i.isArrayOrTypedArray(p.size)?p.size[h]:p.size,f.tc=i.isArrayOrTypedArray(p.color)?p.color[h]:p.color,f.tf=Array.isArray(p.family)?p.family[h]:p.family,f.tw=Array.isArray(p.weight)?p.weight[h]:p.weight,f.ty=Array.isArray(p.style)?p.style[h]:p.style,f.tv=Array.isArray(p.variant)?p.variant[h]:p.variant);var d=o.marker;d&&(f.ms=i.isArrayOrTypedArray(d.size)?d.size[h]:d.size,f.mo=i.isArrayOrTypedArray(d.opacity)?d.opacity[h]:d.opacity,f.mx=i.isArrayOrTypedArray(d.symbol)?d.symbol[h]:d.symbol,f.ma=i.isArrayOrTypedArray(d.angle)?d.angle[h]:d.angle,f.mc=i.isArrayOrTypedArray(d.color)?d.color[h]:d.color);var m=d&&d.line;m&&(f.mlc=Array.isArray(m.color)?m.color[h]:m.color,f.mlw=i.isArrayOrTypedArray(m.width)?m.width[h]:m.width);var g=d&&d.gradient;g&&\"none\"!==g.type&&(f.mgt=Array.isArray(g.type)?g.type[h]:g.type,f.mgc=Array.isArray(g.color)?g.color[h]:g.color);var y=s.c2p(f.x,!0),v=l.c2p(f.y,!0),x=f.mrc||1,_=o.hoverlabel;_&&(f.hbg=Array.isArray(_.bgcolor)?_.bgcolor[h]:_.bgcolor,f.hbc=Array.isArray(_.bordercolor)?_.bordercolor[h]:_.bordercolor,f.hts=i.isArrayOrTypedArray(_.font.size)?_.font.size[h]:_.font.size,f.htc=Array.isArray(_.font.color)?_.font.color[h]:_.font.color,f.htf=Array.isArray(_.font.family)?_.font.family[h]:_.font.family,f.hnl=i.isArrayOrTypedArray(_.namelength)?_.namelength[h]:_.namelength);var b=o.hoverinfo;b&&(f.hi=Array.isArray(b)?b[h]:b);var w=o.hovertemplate;w&&(f.ht=Array.isArray(w)?w[h]:w);var T={};T[t.index]=f;var k=o._origX,A=o._origY,M=i.extendFlat({},t,{color:a(o,f),x0:y-x,x1:y+x,xLabelVal:k?k[h]:f.x,y0:v-x,y1:v+x,yLabelVal:A?A[h]:f.y,cd:T,distance:c,spikeDistance:u,hovertemplate:f.ht});return f.htx?M.text=f.htx:f.tx?M.text=f.tx:o.text&&(M.text=o.text),i.fillText(f,o,M),n.getComponentMethod(\"errorbars\",\"hoverInfo\")(f,o,M),M}t.exports={hoverPoints:function(t,e,r,n){var i,a,s,l,c,u,h,f,p,d,m=t.cd,g=m[0].t,y=m[0].trace,v=t.xa,x=t.ya,_=g.x,b=g.y,w=v.c2p(e),T=x.c2p(r),k=t.distance;if(g.tree){var A=v.p2c(w-k),M=v.p2c(w+k),S=x.p2c(T-k),E=x.p2c(T+k);i=\"x\"===n?g.tree.range(Math.min(A,M),Math.min(x._rl[0],x._rl[1]),Math.max(A,M),Math.max(x._rl[0],x._rl[1])):g.tree.range(Math.min(A,M),Math.min(S,E),Math.max(A,M),Math.max(S,E))}else i=g.ids;var C=k;if(\"x\"===n){var L=!!y.xperiodalignment,I=!!y.yperiodalignment;for(u=0;u<i.length;u++){if(l=_[a=i[u]],h=Math.abs(v.c2p(l)-w),L){var P=v.c2p(y._xStarts[a]),z=v.c2p(y._xEnds[a]);h=w>=Math.min(P,z)&&w<=Math.max(P,z)?0:1/0}if(h<C){if(C=h,c=b[a],f=x.c2p(c)-T,I){var O=x.c2p(y._yStarts[a]),D=x.c2p(y._yEnds[a]);f=T>=Math.min(O,D)&&T<=Math.max(O,D)?0:1/0}d=Math.sqrt(h*h+f*f),s=i[u]}}}else for(u=i.length-1;u>-1;u--)l=_[a=i[u]],c=b[a],h=v.c2p(l)-w,f=x.c2p(c)-T,(p=Math.sqrt(h*h+f*f))<C&&(C=d=p,s=a);return t.index=s,t.distance=C,t.dxy=d,void 0===s?[t]:[o(t,_,b,y)]},calcHover:o}},52378:function(t,e,r){\"use strict\";var n=r(68258);n.plot=r(47731),t.exports=n},47731:function(t,e,r){\"use strict\";var n=r(62172),i=r(49478),a=r(29978),o=r(74024),s=r(34809),l=r(70414).selectMode,c=r(22459),u=r(64726),h=r(17210),f=r(85686).styleTextSelection,p={};function d(t,e,r,n){var i=t._size,a=t.width*n,o=t.height*n,s=i.l*n,l=i.b*n,c=i.r*n,u=i.t*n,h=i.w*n,f=i.h*n;return[s+e.domain[0]*h,l+r.domain[0]*f,a-c-(1-e.domain[1])*h,o-u-(1-r.domain[1])*f]}(t.exports=function(t,e,r){if(r.length){var m,g,y=t._fullLayout,v=e._scene,x=e.xaxis,_=e.yaxis;if(v)if(c(t,[\"ANGLE_instanced_arrays\",\"OES_element_index_uint\"],p)){var b=v.count,w=y._glcanvas.data()[0].regl;if(h(t,e,r),v.dirty){if(!v.line2d&&!v.error2d||v.scatter2d||v.fill2d||v.glText||w.clear({}),!0===v.error2d&&(v.error2d=a(w)),!0===v.line2d&&(v.line2d=i(w)),!0===v.scatter2d&&(v.scatter2d=n(w)),!0===v.fill2d&&(v.fill2d=i(w)),!0===v.glText)for(v.glText=new Array(b),m=0;m<b;m++)v.glText[m]=new o(w);if(v.glText){if(b>v.glText.length){var T=b-v.glText.length;for(m=0;m<T;m++)v.glText.push(new o(w))}else if(b<v.glText.length){var k=v.glText.length-b;v.glText.splice(b,k).forEach((function(t){t.destroy()}))}for(m=0;m<b;m++)v.glText[m].update(v.textOptions[m])}if(v.line2d&&(v.line2d.update(v.lineOptions),v.lineOptions=v.lineOptions.map((function(t){if(t&&t.positions){for(var e=t.positions,r=0;r<e.length&&(isNaN(e[r])||isNaN(e[r+1]));)r+=2;for(var n=e.length-2;n>r&&(isNaN(e[n])||isNaN(e[n+1]));)n-=2;t.positions=e.slice(r,n+2)}return t})),v.line2d.update(v.lineOptions)),v.error2d){var A=(v.errorXOptions||[]).concat(v.errorYOptions||[]);v.error2d.update(A)}v.scatter2d&&v.scatter2d.update(v.markerOptions),v.fillOrder=s.repeat(null,b),v.fill2d&&(v.fillOptions=v.fillOptions.map((function(t,e){var n=r[e];if(t&&n&&n[0]&&n[0].trace){var i,a,o=n[0],s=o.trace,l=o.t,c=v.lineOptions[e],u=[];s._ownfill&&u.push(e),s._nexttrace&&u.push(e+1),u.length&&(v.fillOrder[e]=u);var h,f,p=[],d=c&&c.positions||l.positions;if(\"tozeroy\"===s.fill){for(h=0;h<d.length&&isNaN(d[h+1]);)h+=2;for(f=d.length-2;f>h&&isNaN(d[f+1]);)f-=2;0!==d[h+1]&&(p=[d[h],0]),p=p.concat(d.slice(h,f+2)),0!==d[f+1]&&(p=p.concat([d[f],0]))}else if(\"tozerox\"===s.fill){for(h=0;h<d.length&&isNaN(d[h]);)h+=2;for(f=d.length-2;f>h&&isNaN(d[f]);)f-=2;0!==d[h]&&(p=[0,d[h+1]]),p=p.concat(d.slice(h,f+2)),0!==d[f]&&(p=p.concat([0,d[f+1]]))}else if(\"toself\"===s.fill||\"tonext\"===s.fill){for(p=[],i=0,t.splitNull=!0,a=0;a<d.length;a+=2)(isNaN(d[a])||isNaN(d[a+1]))&&((p=p.concat(d.slice(i,a))).push(d[i],d[i+1]),p.push(null,null),i=a+2);p=p.concat(d.slice(i)),i&&p.push(d[i],d[i+1])}else{var m=s._nexttrace;if(m){var g=v.lineOptions[e+1];if(g){var y=g.positions;if(\"tonexty\"===s.fill){for(p=d.slice(),e=Math.floor(y.length/2);e--;){var x=y[2*e],_=y[2*e+1];isNaN(x)||isNaN(_)||p.push(x,_)}t.fill=m.fillcolor}}}}if(s._prevtrace&&\"tonext\"===s._prevtrace.fill){var b=v.lineOptions[e-1].positions,w=p.length/2,T=[i=w];for(a=0;a<b.length;a+=2)(isNaN(b[a])||isNaN(b[a+1]))&&(T.push(a/2+w+1),i=a+2);p=p.concat(b),t.hole=T}return t.fillmode=s.fill,t.opacity=s.opacity,t.positions=p,t}})),v.fill2d.update(v.fillOptions))}var M=y.dragmode,S=l(M),E=y.clickmode.indexOf(\"select\")>-1;for(m=0;m<b;m++){var C=r[m][0],L=C.trace,I=C.t,P=I.index,z=L._length,O=I.x,D=I.y;if(L.selectedpoints||S||E){if(S||(S=!0),L.selectedpoints){var R=v.selectBatch[P]=s.selIndices2selPoints(L),F={};for(g=0;g<R.length;g++)F[R[g]]=1;var B=[];for(g=0;g<z;g++)F[g]||B.push(g);v.unselectBatch[P]=B}var N=I.xpx=new Array(z),j=I.ypx=new Array(z);for(g=0;g<z;g++)N[g]=x.c2p(O[g]),j[g]=_.c2p(D[g])}else I.xpx=I.ypx=null}if(S){if(v.select2d||(v.select2d=n(y._glcanvas.data()[1].regl)),v.scatter2d){var U=new Array(b);for(m=0;m<b;m++)U[m]=v.selectBatch[m].length||v.unselectBatch[m].length?v.markerUnselectedOptions[m]:{};v.scatter2d.update(U)}v.select2d&&(v.select2d.update(v.markerOptions),v.select2d.update(v.markerSelectedOptions)),v.glText&&r.forEach((function(t){var e=((t||[])[0]||{}).trace||{};u.hasText(e)&&f(t)}))}else v.scatter2d&&v.scatter2d.update(v.markerOptions);var V={viewport:d(y,x,_,t._context.plotGlPixelRatio),range:[(x._rl||x.range)[0],(_._rl||_.range)[0],(x._rl||x.range)[1],(_._rl||_.range)[1]]},q=s.repeat(V,v.count);v.fill2d&&v.fill2d.update(q),v.line2d&&v.line2d.update(q),v.error2d&&v.error2d.update(q.concat(q)),v.scatter2d&&v.scatter2d.update(q),v.select2d&&v.select2d.update(q),v.glText&&v.glText.forEach((function(t){t.update(V)}))}else v.init()}}).reglPrecompiled=p},62336:function(t,e,r){\"use strict\";var n=r(34809);t.exports=function(t,e){var r=e._scene,i={count:0,dirty:!0,lineOptions:[],fillOptions:[],markerOptions:[],markerSelectedOptions:[],markerUnselectedOptions:[],errorXOptions:[],errorYOptions:[],textOptions:[],textSelectedOptions:[],textUnselectedOptions:[],selectBatch:[],unselectBatch:[]},a={fill2d:!1,scatter2d:!1,error2d:!1,line2d:!1,glText:!1,select2d:!1};return e._scene||((r=e._scene={}).init=function(){n.extendFlat(r,a,i)},r.init(),r.update=function(t){var e=n.repeat(t,r.count);if(r.fill2d&&r.fill2d.update(e),r.scatter2d&&r.scatter2d.update(e),r.line2d&&r.line2d.update(e),r.error2d&&r.error2d.update(e.concat(e)),r.select2d&&r.select2d.update(e),r.glText)for(var i=0;i<r.count;i++)r.glText[i].update(t)},r.draw=function(){for(var t=r.count,e=r.fill2d,i=r.error2d,a=r.line2d,o=r.scatter2d,s=r.glText,l=r.select2d,c=r.selectBatch,u=r.unselectBatch,h=0;h<t;h++){if(e&&r.fillOrder[h]&&e.draw(r.fillOrder[h]),a&&r.lineOptions[h]&&a.draw(h),i&&(r.errorXOptions[h]&&i.draw(h),r.errorYOptions[h]&&i.draw(h+t)),o&&r.markerOptions[h])if(u[h].length){var f=n.repeat([],r.count);f[h]=u[h],o.draw(f)}else 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r,a=e[0].trace,h=!0===a.visible&&0!==a._length,w=\"none\"!==a.fill,T=u.hasLines(a),k=u.hasMarkers(a),A=u.hasText(a),M=k&&\"circle\"===a.marker.symbol,S=k&&\"circle\"!==a.marker.symbol,E=a.cluster&&a.cluster.enabled,C=g(\"fill\"),L=g(\"line\"),I=g(\"circle\"),P=g(\"symbol\"),z={fill:C,line:L,circle:I,symbol:P};if(!h)return z;if((w||T)&&(r=o.calcTraceToLineCoords(e)),w&&(C.geojson=o.makePolygon(r),C.layout.visibility=\"visible\",i.extendFlat(C.paint,{\"fill-color\":a.fillcolor})),T&&(L.geojson=o.makeLine(r),L.layout.visibility=\"visible\",i.extendFlat(L.paint,{\"line-width\":a.line.width,\"line-color\":a.line.color,\"line-opacity\":a.opacity})),M){var O=function(t){var e,r,a,o,u=t[0].trace,h=u.marker,f=u.selectedpoints,p=i.isArrayOrTypedArray(h.color),d=i.isArrayOrTypedArray(h.size),m=i.isArrayOrTypedArray(h.opacity);function g(t){return u.opacity*t}p&&(r=s.hasColorscale(u,\"marker\")?s.makeColorScaleFuncFromTrace(h):i.identity),d&&(a=c(u)),m&&(o=function(t){return 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k=_[e].properties;y.selectedOpacityFn&&(k.mo=g(y.selectedOpacityFn(k))),y.selectedColorFn&&(k.mcc=y.selectedColorFn(k)),y.selectedSizeFn&&(k.mrc=y.selectedSizeFn(k))}return{geojson:{type:\"FeatureCollection\",features:_},mcc:p||y&&y.selectedColorFn?{type:\"identity\",property:\"mcc\"}:h.color,mrc:d||y&&y.selectedSizeFn?{type:\"identity\",property:\"mrc\"}:(v=h.size,v/2),mo:m||y&&y.selectedOpacityFn?{type:\"identity\",property:\"mo\"}:g(h.opacity)}}(e);I.geojson=O.geojson,I.layout.visibility=\"visible\",E&&(I.filter=[\"!\",[\"has\",\"point_count\"]],z.cluster={type:\"circle\",filter:[\"has\",\"point_count\"],layout:{visibility:\"visible\"},paint:{\"circle-color\":_(a.cluster.color,a.cluster.step),\"circle-radius\":_(a.cluster.size,a.cluster.step),\"circle-opacity\":_(a.cluster.opacity,a.cluster.step)}},z.clusterCount={type:\"symbol\",filter:[\"has\",\"point_count\"],paint:{},layout:{\"text-field\":\"{point_count_abbreviated}\",\"text-font\":b(a),\"text-size\":12}}),i.extendFlat(I.paint,{\"circle-color\":O.mcc,\"circle-radius\":O.mrc,\"circle-opacity\":O.mo})}if(M&&E&&(I.filter=[\"!\",[\"has\",\"point_count\"]]),(S||A)&&(P.geojson=function(t,e){for(var r=e._fullLayout,n=t[0].trace,a=n.marker||{},o=a.symbol,s=a.angle,l=\"circle\"!==o?y(o):v,c=\"auto\"!==s?y(s,!0):v,h=u.hasText(n)?y(n.text):v,f=[],g=0;g<t.length;g++){var _=t[g];if(!x(_.lonlat)){var b,w=n.texttemplate;if(w){var T=Array.isArray(w)?w[g]||\"\":w,k=n._module.formatLabels(_,n,r),A={};p(A,n,_.i);var M=n._meta||{};b=i.texttemplateString(T,k,r._d3locale,A,_,M)}else b=h(g);b&&(b=b.replace(d,\"\").replace(m,\"\\n\")),f.push({type:\"Feature\",geometry:{type:\"Point\",coordinates:_.lonlat},properties:{symbol:l(g),angle:c(g),text:b}})}}return{type:\"FeatureCollection\",features:f}}(e,t),i.extendFlat(P.layout,{visibility:\"visible\",\"icon-image\":\"{symbol}-15\",\"text-field\":\"{text}\"}),S&&(i.extendFlat(P.layout,{\"icon-size\":a.marker.size/10}),\"angle\"in a.marker&&\"auto\"!==a.marker.angle&&i.extendFlat(P.layout,{\"icon-rotate\":{type:\"identity\",property:\"angle\"},\"icon-rotation-alignment\":\"map\"}),P.layout[\"icon-allow-overlap\"]=a.marker.allowoverlap,i.extendFlat(P.paint,{\"icon-opacity\":a.opacity*a.marker.opacity,\"icon-color\":a.marker.color})),A)){var D=(a.marker||{}).size,R=f(a.textposition,D);i.extendFlat(P.layout,{\"text-size\":a.textfont.size,\"text-anchor\":R.anchor,\"text-offset\":R.offset,\"text-font\":b(a)}),i.extendFlat(P.paint,{\"text-color\":a.textfont.color,\"text-opacity\":a.opacity})}return z}},57387:function(t,e,r){\"use strict\";var n=r(34809),i=r(64726),a=r(24272),o=r(98168),s=r(663),l=r(54114),c=r(71388),u=r(13624).isSupportedFont;t.exports=function(t,e,r,h){function f(r,i){return n.coerce(t,e,c,r,i)}function p(r,i){return n.coerce2(t,e,c,r,i)}var d=function(t,e,r){var n=r(\"lon\")||[],i=r(\"lat\")||[],a=Math.min(n.length,i.length);return e._length=a,a}(0,e,f);if(d){if(f(\"text\"),f(\"texttemplate\"),f(\"hovertext\"),f(\"hovertemplate\"),f(\"mode\"),f(\"below\"),i.hasMarkers(e)){a(t,e,r,h,f,{noLine:!0,noAngle:!0}),f(\"marker.allowoverlap\"),f(\"marker.angle\");var m=e.marker;\"circle\"!==m.symbol&&(n.isArrayOrTypedArray(m.size)&&(m.size=m.size[0]),n.isArrayOrTypedArray(m.color)&&(m.color=m.color[0]))}i.hasLines(e)&&(o(t,e,r,h,f,{noDash:!0}),f(\"connectgaps\"));var g=p(\"cluster.maxzoom\"),y=p(\"cluster.step\"),v=p(\"cluster.color\",e.marker&&e.marker.color||r),x=p(\"cluster.size\"),_=p(\"cluster.opacity\");if(f(\"cluster.enabled\",!1!==g||!1!==y||!1!==v||!1!==x||!1!==_)||i.hasText(e)){var b=h.font.family;s(t,e,h,f,{noSelect:!0,noFontVariant:!0,noFontShadow:!0,noFontLineposition:!0,noFontTextcase:!0,font:{family:u(b)?b:\"Open Sans Regular\",weight:h.font.weight,style:h.font.style,size:h.font.size,color:h.font.color}})}f(\"fill\"),\"none\"!==e.fill&&l(t,e,r,f),n.coerceSelectionMarkerOpacity(e,f)}else e.visible=!1}},58240:function(t){\"use strict\";t.exports=function(t,e){return t.lon=e.lon,t.lat=e.lat,t}},66762:function(t,e,r){\"use strict\";var n=r(29714);t.exports=function(t,e,r){var i={},a=r[e.subplot]._subplot.mockAxis,o=t.lonlat;return i.lonLabel=n.tickText(a,a.c2l(o[0]),!0).text,i.latLabel=n.tickText(a,a.c2l(o[1]),!0).text,i}},67275:function(t,e,r){\"use strict\";var n=r(32141),i=r(34809),a=r(11539),o=i.fillText,s=r(63821).BADNUM,l=r(8814).traceLayerPrefix;function c(t,e,r){if(!t.hovertemplate){var n=(e.hi||t.hoverinfo).split(\"+\"),i=-1!==n.indexOf(\"all\"),a=-1!==n.indexOf(\"lon\"),s=-1!==n.indexOf(\"lat\"),l=e.lonlat,c=[];return i||a&&s?c.push(\"(\"+u(l[1])+\", \"+u(l[0])+\")\"):a?c.push(r.lon+u(l[0])):s&&c.push(r.lat+u(l[1])),(i||-1!==n.indexOf(\"text\"))&&o(e,t,c),c.join(\"<br>\")}function u(t){return t+\"°\"}}t.exports={hoverPoints:function(t,e,r){var o=t.cd,u=o[0].trace,h=t.xa,f=t.ya,p=t.subplot,d=[],m=l+u.uid+\"-circle\",g=u.cluster&&u.cluster.enabled;if(g){var y=p.map.queryRenderedFeatures(null,{layers:[m]});d=y.map((function(t){return t.id}))}var v=360*(e>=0?Math.floor((e+180)/360):Math.ceil((e-180)/360)),x=e-v;if(n.getClosest(o,(function(t){var e=t.lonlat;if(e[0]===s)return 1/0;if(g&&-1===d.indexOf(t.i+1))return 1/0;var n=i.modHalf(e[0],360),a=e[1],o=p.project([n,a]),l=o.x-h.c2p([x,a]),c=o.y-f.c2p([n,r]),u=Math.max(3,t.mrc||0);return Math.max(Math.sqrt(l*l+c*c)-u,1-3/u)}),t),!1!==t.index){var _=o[t.index],b=_.lonlat,w=[i.modHalf(b[0],360)+v,b[1]],T=h.c2p(w),k=f.c2p(w),A=_.mrc||1;t.x0=T-A,t.x1=T+A,t.y0=k-A,t.y1=k+A;var M={};M[u.subplot]={_subplot:p};var S=u._module.formatLabels(_,u,M);return t.lonLabel=S.lonLabel,t.latLabel=S.latLabel,t.color=a(u,_),t.extraText=c(u,_,o[0].t.labels),t.hovertemplate=u.hovertemplate,[t]}},getExtraText:c}},30929:function(t,e,r){\"use 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s(t,e,r,n){this.type=\"scattermap\",this.subplot=t,this.uid=e,this.clusterEnabled=r,this.isHidden=n,this.sourceIds={fill:\"source-\"+e+\"-fill\",line:\"source-\"+e+\"-line\",circle:\"source-\"+e+\"-circle\",symbol:\"source-\"+e+\"-symbol\",cluster:\"source-\"+e+\"-circle\",clusterCount:\"source-\"+e+\"-circle\"},this.layerIds={fill:a+e+\"-fill\",line:a+e+\"-line\",circle:a+e+\"-circle\",symbol:a+e+\"-symbol\",cluster:a+e+\"-cluster\",clusterCount:a+e+\"-cluster-count\"},this.below=null}var l=s.prototype;l.addSource=function(t,e,r){var i={type:\"geojson\",data:e.geojson};r&&r.enabled&&n.extendFlat(i,{cluster:!0,clusterMaxZoom:r.maxzoom});var a=this.subplot.map.getSource(this.sourceIds[t]);a?a.setData(e.geojson):this.subplot.map.addSource(this.sourceIds[t],i)},l.setSourceData=function(t,e){this.subplot.map.getSource(this.sourceIds[t]).setData(e.geojson)},l.addLayer=function(t,e,r){var n={type:e.type,id:this.layerIds[t],source:this.sourceIds[t],layout:e.layout,paint:e.paint};e.filter&&(n.filter=e.filter);for(var i,a=this.layerIds[t],o=this.subplot.getMapLayers(),s=0;s<o.length;s++)if(o[s].id===a){i=!0;break}i?(this.subplot.setOptions(a,\"setLayoutProperty\",n.layout),\"visible\"===n.layout.visibility&&this.subplot.setOptions(a,\"setPaintProperty\",n.paint)):this.subplot.addLayer(n,r)},l.update=function(t){var e=t[0].trace,r=this.subplot,n=r.map,a=i(r.gd,t),s=r.belowLookup[\"trace-\"+this.uid],l=!(!e.cluster||!e.cluster.enabled),c=!!this.clusterEnabled,u=this;function h(t){c?function(t){for(var e=o.cluster,r=e.length-1;r>=0;r--){var i=e[r];n.removeLayer(u.layerIds[i])}t||n.removeSource(u.sourceIds.circle)}(t):function(t){for(var e=o.nonCluster,r=e.length-1;r>=0;r--){var i=e[r];n.removeLayer(u.layerIds[i]),t||n.removeSource(u.sourceIds[i])}}(t)}function f(t){l?function(t){t||u.addSource(\"circle\",a.circle,e.cluster);for(var r=o.cluster,n=0;n<r.length;n++){var 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n=r(3208).rb,i=r(3208).ay,a=r(19326),o=r(6893),s=r(36640),l=r(67514),c=r(9829),u=r(87163),h=r(93049).extendFlat,f=r(13582).overrideAll,p=r(67514),d=o.line,m=o.marker;t.exports=f({lon:o.lon,lat:o.lat,cluster:{enabled:{valType:\"boolean\"},maxzoom:h({},p.layers.maxzoom,{}),step:{valType:\"number\",arrayOk:!0,dflt:-1,min:-1},size:{valType:\"number\",arrayOk:!0,dflt:20,min:0},color:{valType:\"color\",arrayOk:!0},opacity:h({},m.opacity,{dflt:1})},mode:h({},s.mode,{dflt:\"markers\"}),text:h({},s.text,{}),texttemplate:i({editType:\"plot\"},{keys:[\"lat\",\"lon\",\"text\"]}),hovertext:h({},s.hovertext,{}),line:{color:d.color,width:d.width},connectgaps:s.connectgaps,marker:h({symbol:{valType:\"string\",dflt:\"circle\",arrayOk:!0},angle:{valType:\"number\",dflt:\"auto\",arrayOk:!0},allowoverlap:{valType:\"boolean\",dflt:!1},opacity:m.opacity,size:m.size,sizeref:m.sizeref,sizemin:m.sizemin,sizemode:m.sizemode},u(\"marker\")),fill:o.fill,fillcolor:a(),textfont:l.layers.symbol.textfont,textposition:l.layers.symbol.textposition,below:{valType:\"string\"},selected:{marker:s.selected.marker},unselected:{marker:s.unselected.marker},hoverinfo:h({},c.hoverinfo,{flags:[\"lon\",\"lat\",\"text\",\"name\"]}),hovertemplate:n()},\"calc\",\"nested\")},2795:function(t){\"use strict\";var e=[\"Metropolis Black Italic\",\"Metropolis Black\",\"Metropolis Bold Italic\",\"Metropolis Bold\",\"Metropolis Extra Bold Italic\",\"Metropolis Extra Bold\",\"Metropolis Extra Light Italic\",\"Metropolis Extra Light\",\"Metropolis Light Italic\",\"Metropolis Light\",\"Metropolis Medium Italic\",\"Metropolis Medium\",\"Metropolis Regular Italic\",\"Metropolis Regular\",\"Metropolis Semi Bold Italic\",\"Metropolis Semi Bold\",\"Metropolis Thin Italic\",\"Metropolis Thin\",\"Open Sans Bold Italic\",\"Open Sans Bold\",\"Open Sans Extrabold Italic\",\"Open Sans Extrabold\",\"Open Sans Italic\",\"Open Sans Light Italic\",\"Open Sans Light\",\"Open Sans Regular\",\"Open Sans Semibold Italic\",\"Open Sans Semibold\",\"Klokantech Noto Sans Bold\",\"Klokantech Noto Sans CJK Bold\",\"Klokantech Noto Sans CJK Regular\",\"Klokantech Noto Sans Italic\",\"Klokantech Noto Sans Regular\"];t.exports={isSupportedFont:function(t){return-1!==e.indexOf(t)}}},27009:function(t,e,r){\"use 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r,a=e[0].trace,h=!0===a.visible&&0!==a._length,w=\"none\"!==a.fill,T=u.hasLines(a),k=u.hasMarkers(a),A=u.hasText(a),M=k&&\"circle\"===a.marker.symbol,S=k&&\"circle\"!==a.marker.symbol,E=a.cluster&&a.cluster.enabled,C=g(\"fill\"),L=g(\"line\"),I=g(\"circle\"),P=g(\"symbol\"),z={fill:C,line:L,circle:I,symbol:P};if(!h)return z;if((w||T)&&(r=o.calcTraceToLineCoords(e)),w&&(C.geojson=o.makePolygon(r),C.layout.visibility=\"visible\",i.extendFlat(C.paint,{\"fill-color\":a.fillcolor})),T&&(L.geojson=o.makeLine(r),L.layout.visibility=\"visible\",i.extendFlat(L.paint,{\"line-width\":a.line.width,\"line-color\":a.line.color,\"line-opacity\":a.opacity})),M){var O=function(t){var e,r,a,o,u=t[0].trace,h=u.marker,f=u.selectedpoints,p=i.isArrayOrTypedArray(h.color),d=i.isArrayOrTypedArray(h.size),m=i.isArrayOrTypedArray(h.opacity);function g(t){return u.opacity*t}p&&(r=s.hasColorscale(u,\"marker\")?s.makeColorScaleFuncFromTrace(h):i.identity),d&&(a=c(u)),m&&(o=function(t){return g(n(t)?+i.constrain(t,0,1):0)});var y,v,_=[];for(e=0;e<t.length;e++){var b=t[e],w=b.lonlat;if(!x(w)){var T={};r&&(T.mcc=b.mcc=r(b.mc)),a&&(T.mrc=b.mrc=a(b.ms)),o&&(T.mo=o(b.mo)),f&&(T.selected=b.selected||0),_.push({type:\"Feature\",id:e+1,geometry:{type:\"Point\",coordinates:w},properties:T})}}if(f)for(y=l.makeSelectedPointStyleFns(u),e=0;e<_.length;e++){var k=_[e].properties;y.selectedOpacityFn&&(k.mo=g(y.selectedOpacityFn(k))),y.selectedColorFn&&(k.mcc=y.selectedColorFn(k)),y.selectedSizeFn&&(k.mrc=y.selectedSizeFn(k))}return{geojson:{type:\"FeatureCollection\",features:_},mcc:p||y&&y.selectedColorFn?{type:\"identity\",property:\"mcc\"}:h.color,mrc:d||y&&y.selectedSizeFn?{type:\"identity\",property:\"mrc\"}:(v=h.size,v/2),mo:m||y&&y.selectedOpacityFn?{type:\"identity\",property:\"mo\"}:g(h.opacity)}}(e);I.geojson=O.geojson,I.layout.visibility=\"visible\",E&&(I.filter=[\"!\",[\"has\",\"point_count\"]],z.cluster={type:\"circle\",filter:[\"has\",\"point_count\"],layout:{visibility:\"visible\"},paint:{\"circle-color\":_(a.cluster.color,a.cluster.step),\"circle-radius\":_(a.cluster.size,a.cluster.step),\"circle-opacity\":_(a.cluster.opacity,a.cluster.step)}},z.clusterCount={type:\"symbol\",filter:[\"has\",\"point_count\"],paint:{},layout:{\"text-field\":\"{point_count_abbreviated}\",\"text-font\":b(a),\"text-size\":12}}),i.extendFlat(I.paint,{\"circle-color\":O.mcc,\"circle-radius\":O.mrc,\"circle-opacity\":O.mo})}if(M&&E&&(I.filter=[\"!\",[\"has\",\"point_count\"]]),(S||A)&&(P.geojson=function(t,e){for(var r=e._fullLayout,n=t[0].trace,a=n.marker||{},o=a.symbol,s=a.angle,l=\"circle\"!==o?y(o):v,c=\"auto\"!==s?y(s,!0):v,h=u.hasText(n)?y(n.text):v,f=[],g=0;g<t.length;g++){var _=t[g];if(!x(_.lonlat)){var b,w=n.texttemplate;if(w){var T=Array.isArray(w)?w[g]||\"\":w,k=n._module.formatLabels(_,n,r),A={};p(A,n,_.i);var M=n._meta||{};b=i.texttemplateString(T,k,r._d3locale,A,_,M)}else b=h(g);b&&(b=b.replace(d,\"\").replace(m,\"\\n\")),f.push({type:\"Feature\",geometry:{type:\"Point\",coordinates:_.lonlat},properties:{symbol:l(g),angle:c(g),text:b}})}}return{type:\"FeatureCollection\",features:f}}(e,t),i.extendFlat(P.layout,{visibility:\"visible\",\"icon-image\":\"{symbol}-15\",\"text-field\":\"{text}\"}),S&&(i.extendFlat(P.layout,{\"icon-size\":a.marker.size/10}),\"angle\"in a.marker&&\"auto\"!==a.marker.angle&&i.extendFlat(P.layout,{\"icon-rotate\":{type:\"identity\",property:\"angle\"},\"icon-rotation-alignment\":\"map\"}),P.layout[\"icon-allow-overlap\"]=a.marker.allowoverlap,i.extendFlat(P.paint,{\"icon-opacity\":a.opacity*a.marker.opacity,\"icon-color\":a.marker.color})),A)){var D=(a.marker||{}).size,R=f(a.textposition,D);i.extendFlat(P.layout,{\"text-size\":a.textfont.size,\"text-anchor\":R.anchor,\"text-offset\":R.offset,\"text-font\":b(a)}),i.extendFlat(P.paint,{\"text-color\":a.textfont.color,\"text-opacity\":a.opacity})}return z}},38302:function(t,e,r){\"use strict\";var n=r(34809),i=r(64726),a=r(24272),o=r(98168),s=r(663),l=r(54114),c=r(95833),u=r(2795).isSupportedFont;t.exports=function(t,e,r,h){function f(r,i){return n.coerce(t,e,c,r,i)}function p(r,i){return n.coerce2(t,e,c,r,i)}var d=function(t,e,r){var n=r(\"lon\")||[],i=r(\"lat\")||[],a=Math.min(n.length,i.length);return e._length=a,a}(0,e,f);if(d){if(f(\"text\"),f(\"texttemplate\"),f(\"hovertext\"),f(\"hovertemplate\"),f(\"mode\"),f(\"below\"),i.hasMarkers(e)){a(t,e,r,h,f,{noLine:!0,noAngle:!0}),f(\"marker.allowoverlap\"),f(\"marker.angle\");var m=e.marker;\"circle\"!==m.symbol&&(n.isArrayOrTypedArray(m.size)&&(m.size=m.size[0]),n.isArrayOrTypedArray(m.color)&&(m.color=m.color[0]))}i.hasLines(e)&&(o(t,e,r,h,f,{noDash:!0}),f(\"connectgaps\"));var g=p(\"cluster.maxzoom\"),y=p(\"cluster.step\"),v=p(\"cluster.color\",e.marker&&e.marker.color||r),x=p(\"cluster.size\"),_=p(\"cluster.opacity\");if(f(\"cluster.enabled\",!1!==g||!1!==y||!1!==v||!1!==x||!1!==_)||i.hasText(e)){var b=h.font.family;s(t,e,h,f,{noSelect:!0,noFontVariant:!0,noFontShadow:!0,noFontLineposition:!0,noFontTextcase:!0,font:{family:u(b)?b:\"Open Sans Regular\",weight:h.font.weight,style:h.font.style,size:h.font.size,color:h.font.color}})}f(\"fill\"),\"none\"!==e.fill&&l(t,e,r,f),n.coerceSelectionMarkerOpacity(e,f)}else e.visible=!1}},68197:function(t){\"use strict\";t.exports=function(t,e){return t.lon=e.lon,t.lat=e.lat,t}},69009:function(t,e,r){\"use strict\";var n=r(29714);t.exports=function(t,e,r){var i={},a=r[e.subplot]._subplot.mockAxis,o=t.lonlat;return i.lonLabel=n.tickText(a,a.c2l(o[0]),!0).text,i.latLabel=n.tickText(a,a.c2l(o[1]),!0).text,i}},18016:function(t,e,r){\"use strict\";var n=r(32141),i=r(34809),a=r(11539),o=i.fillText,s=r(63821).BADNUM,l=r(44245).traceLayerPrefix;function c(t,e,r){if(!t.hovertemplate){var n=(e.hi||t.hoverinfo).split(\"+\"),i=-1!==n.indexOf(\"all\"),a=-1!==n.indexOf(\"lon\"),s=-1!==n.indexOf(\"lat\"),l=e.lonlat,c=[];return i||a&&s?c.push(\"(\"+u(l[1])+\", \"+u(l[0])+\")\"):a?c.push(r.lon+u(l[0])):s&&c.push(r.lat+u(l[1])),(i||-1!==n.indexOf(\"text\"))&&o(e,t,c),c.join(\"<br>\")}function u(t){return t+\"°\"}}t.exports={hoverPoints:function(t,e,r){var o=t.cd,u=o[0].trace,h=t.xa,f=t.ya,p=t.subplot,d=[],m=l+u.uid+\"-circle\",g=u.cluster&&u.cluster.enabled;if(g){var y=p.map.queryRenderedFeatures(null,{layers:[m]});d=y.map((function(t){return t.id}))}var v=360*(e>=0?Math.floor((e+180)/360):Math.ceil((e-180)/360)),x=e-v;if(n.getClosest(o,(function(t){var e=t.lonlat;if(e[0]===s)return 1/0;if(g&&-1===d.indexOf(t.i+1))return 1/0;var n=i.modHalf(e[0],360),a=e[1],o=p.project([n,a]),l=o.x-h.c2p([x,a]),c=o.y-f.c2p([n,r]),u=Math.max(3,t.mrc||0);return Math.max(Math.sqrt(l*l+c*c)-u,1-3/u)}),t),!1!==t.index){var _=o[t.index],b=_.lonlat,w=[i.modHalf(b[0],360)+v,b[1]],T=h.c2p(w),k=f.c2p(w),A=_.mrc||1;t.x0=T-A,t.x1=T+A,t.y0=k-A,t.y1=k+A;var M={};M[u.subplot]={_subplot:p};var S=u._module.formatLabels(_,u,M);return t.lonLabel=S.lonLabel,t.latLabel=S.latLabel,t.color=a(u,_),t.extraText=c(u,_,o[0].t.labels),t.hovertemplate=u.hovertemplate,[t]}},getExtraText:c}},83866:function(t,e,r){\"use strict\";[\"*scattermapbox* trace is deprecated!\",\"Please consider switching to the *scattermap* trace type and `map` subplots.\",\"Learn more at: https://plotly.com/javascript/maplibre-migration/\"].join(\" \"),t.exports={attributes:r(95833),supplyDefaults:r(38302),colorbar:r(21146),formatLabels:r(69009),calc:r(75649),plot:r(20691),hoverPoints:r(18016).hoverPoints,eventData:r(68197),selectPoints:r(60784),styleOnSelect:function(t,e){e&&e[0].trace._glTrace.update(e)},moduleType:\"trace\",name:\"scattermapbox\",basePlotModule:r(68192),categories:[\"mapbox\",\"gl\",\"symbols\",\"showLegend\",\"scatter-like\"],meta:{}}},20691:function(t,e,r){\"use strict\";var n=r(34809),i=r(27009),a=r(44245).traceLayerPrefix,o={cluster:[\"cluster\",\"clusterCount\",\"circle\"],nonCluster:[\"fill\",\"line\",\"circle\",\"symbol\"]};function s(t,e,r,n){this.type=\"scattermapbox\",this.subplot=t,this.uid=e,this.clusterEnabled=r,this.isHidden=n,this.sourceIds={fill:\"source-\"+e+\"-fill\",line:\"source-\"+e+\"-line\",circle:\"source-\"+e+\"-circle\",symbol:\"source-\"+e+\"-symbol\",cluster:\"source-\"+e+\"-circle\",clusterCount:\"source-\"+e+\"-circle\"},this.layerIds={fill:a+e+\"-fill\",line:a+e+\"-line\",circle:a+e+\"-circle\",symbol:a+e+\"-symbol\",cluster:a+e+\"-cluster\",clusterCount:a+e+\"-cluster-count\"},this.below=null}var l=s.prototype;l.addSource=function(t,e,r){var i={type:\"geojson\",data:e.geojson};r&&r.enabled&&n.extendFlat(i,{cluster:!0,clusterMaxZoom:r.maxzoom});var a=this.subplot.map.getSource(this.sourceIds[t]);a?a.setData(e.geojson):this.subplot.map.addSource(this.sourceIds[t],i)},l.setSourceData=function(t,e){this.subplot.map.getSource(this.sourceIds[t]).setData(e.geojson)},l.addLayer=function(t,e,r){var 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T=0;T<x.length;T++)e.contains([y[T],v[T]],null,T,t)?(p.push({pointNumber:T,x:x[T],y:_[T]}),i(b,T)):-1!==b.indexOf(T)?i(b,T):w.push(T);var k=c.matrixOptions;return b.length||w.length?c.selectBatch.length||c.unselectBatch.length||c.matrix.update(c.unselectedOptions,n.extendFlat({},k,c.selectedOptions,c.viewOpts)):c.matrix.update(k,null),c.selectBatch=b,c.unselectBatch=w,p}},14774:function(t,e,r){\"use strict\";var n=r(87163),i=r(80712).axisHoverFormat,a=r(3208).rb,o=r(42450),s=r(9829),l=r(93049).extendFlat,c={x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},u:{valType:\"data_array\",editType:\"calc\"},v:{valType:\"data_array\",editType:\"calc\"},w:{valType:\"data_array\",editType:\"calc\"},starts:{x:{valType:\"data_array\",editType:\"calc\"},y:{valType:\"data_array\",editType:\"calc\"},z:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"},maxdisplayed:{valType:\"integer\",min:0,dflt:1e3,editType:\"calc\"},sizeref:{valType:\"number\",editType:\"calc\",min:0,dflt:1},text:{valType:\"string\",dflt:\"\",editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",editType:\"calc\"},hovertemplate:a({editType:\"calc\"},{keys:[\"tubex\",\"tubey\",\"tubez\",\"tubeu\",\"tubev\",\"tubew\",\"norm\",\"divergence\"]}),uhoverformat:i(\"u\",1),vhoverformat:i(\"v\",1),whoverformat:i(\"w\",1),xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),zhoverformat:i(\"z\"),showlegend:l({},s.showlegend,{dflt:!1})};l(c,n(\"\",{colorAttr:\"u/v/w 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C=function(){v=0,M=[],S=[],E=[]};(!v||v<M.length*S.length*E.length)&&C();var L=function(t){return\"x\"===t?m:\"y\"===t?g:y},I=function(t){return\"x\"===t?M:\"y\"===t?S:E},P=function(t){return t[v-1]<t[0]?-1:1},z=L(A[1]),O=L(A[3]),D=L(A[5]),R=I(A[1]).length,F=I(A[3]).length,B=I(A[5]).length,N=!1,j=function(t,e,r){return R*(F*t+e)+r},U=P(L(A[1])),V=P(L(A[3])),q=P(L(A[5]));for(e=0;e<B-1;e++){for(r=0;r<F-1;r++){for(i=0;i<R-1;i++){var H=j(e,r,i),G=j(e,r,i+1),Z=j(e,r+1,i),W=j(e+1,r,i);if(z[H]*U<z[G]*U&&O[H]*V<O[Z]*V&&D[H]*q<D[W]*q||(N=!0),N)break}if(N)break}if(N)break}return N&&(n.warn(\"Encountered arbitrary coordinates! 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y=n[u];r.xMax=Math.max(r.xMax,y),r.xMin=Math.min(r.xMin,y);var v=o[u];r.yMax=Math.max(r.yMax,v),r.yMin=Math.min(r.yMin,v);var x=l[u];r.zMax=Math.max(r.zMax,x),r.zMin=Math.min(r.zMin,x)}e._slen=c,e._normMax=h,e._xbnds=[r.xMin,r.xMax],e._ybnds=[r.yMin,r.yMax],e._zbnds=[r.zMin,r.zMax]},filter:s,processGrid:a}},49280:function(t,e,r){\"use strict\";var n=r(99098).gl_streamtube3d,i=n.createTubeMesh,a=r(34809),o=r(46998).parseColorScale,s=r(88856).extractOpts,l=r(88239),c={xaxis:0,yaxis:1,zaxis:2};function u(t,e){this.scene=t,this.uid=e,this.mesh=null,this.data=null}var h=u.prototype;function f(t){var e=t.length;return e>2?t.slice(1,e-1):2===e?[(t[0]+t[1])/2]:t}function p(t){var e=t.length;return 1===e?[.5,.5]:[t[1]-t[0],t[e-1]-t[e-2]]}function d(t,e){var r=t.fullSceneLayout,i=t.dataScale,u=e._len,h={};function d(t,e){var n=r[e],o=i[c[e]];return a.simpleMap(t,(function(t){return 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P.lightPosition=[O.x,O.y,O.z],P.ambient=e.lighting.ambient,P.diffuse=e.lighting.diffuse,P.specular=e.lighting.specular,P.roughness=e.lighting.roughness,P.fresnel=e.lighting.fresnel,P.opacity=e.opacity,e._pad=P.tubeScale*e.sizeref*2,P}h.handlePick=function(t){var e=this.scene.fullSceneLayout,r=this.scene.dataScale;function n(t,n){var i=e[n],a=r[c[n]];return i.l2c(t)/a}if(t.object===this.mesh){var i=t.data.position,a=t.data.velocity;return t.traceCoordinate=[n(i[0],\"xaxis\"),n(i[1],\"yaxis\"),n(i[2],\"zaxis\"),n(a[0],\"xaxis\"),n(a[1],\"yaxis\"),n(a[2],\"zaxis\"),t.data.intensity*this.data._normMax,t.data.divergence],t.textLabel=this.data.hovertext||this.data.text,!0}},h.update=function(t){this.data=t;var e=d(this.scene,t);this.mesh.update(e)},h.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},t.exports=function(t,e){var r=t.glplot.gl,n=d(t,e),a=i(r,n),o=new u(t,e.uid);return o.mesh=a,o.data=e,a._trace=o,t.glplot.add(a),o}},52737:function(t,e,r){\"use 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n=r(9829),i=r(3208).rb,a=r(3208).ay,o=r(87163),s=r(13792).u,l=r(55412),c=r(2032),u=r(93049).extendFlat,h=r(94850).k;t.exports={labels:{valType:\"data_array\",editType:\"calc\"},parents:{valType:\"data_array\",editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},branchvalues:{valType:\"enumerated\",values:[\"remainder\",\"total\"],dflt:\"remainder\",editType:\"calc\"},count:{valType:\"flaglist\",flags:[\"branches\",\"leaves\"],dflt:\"leaves\",editType:\"calc\"},level:{valType:\"any\",editType:\"plot\",anim:!0},maxdepth:{valType:\"integer\",editType:\"plot\",dflt:-1},marker:u({colors:{valType:\"data_array\",editType:\"calc\"},line:{color:u({},l.marker.line.color,{dflt:null}),width:u({},l.marker.line.width,{dflt:1}),editType:\"calc\"},pattern:h,editType:\"calc\"},o(\"marker\",{colorAttr:\"colors\",anim:!1})),leaf:{opacity:{valType:\"number\",editType:\"style\",min:0,max:1},editType:\"plot\"},text:l.text,textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"current 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s,l=_.getPtId(t.parent);T.each((function(t){if(_.getPtId(t)===l)return s=t}));var c,u=s.children;u.forEach((function(t,e){if(_.getPtId(t)===r)return c=e}));var h=u.length,f=a(s.x0,s.x1);e={rpx0:z,rpx1:z,x0:f(c/h),x1:f((c+1)/h)}}return a(n,e)}(t);return function(t){return Z(e(t))}})),t.select(\"g.slicetext\").attr(\"opacity\",0)})).remove():T.exit().remove(),T.order();var X=null;if(b&&R){var $=_.getPtId(R);T.each((function(t){null===X&&_.getPtId(t)===$&&(X=t.x1)}))}var J=T;function K(t){var e=t.parent,r=F[_.getPtId(e)],n={};if(r){var i=e.children,o=i.indexOf(t),s=i.length,l=a(r.x0,r.x1);n.x0=l(o/s),n.x1=l(o/s)}else n.x0=n.x1=0;return n}b&&(J=J.transition().each(\"end\",(function(){var e=n.select(this);_.setSliceCursor(e,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:!1})}))),J.each((function(i){var c=n.select(this),h=s.ensureSingle(c,\"path\",\"surface\",(function(t){t.style(\"pointer-events\",f?\"none\":\"all\")}));i.rpx0=H(i.y0),i.rpx1=H(i.y1),i.xmid=(i.x0+i.x1)/2,i.pxmid=G(i.rpx1,i.xmid),i.midangle=-(i.xmid-Math.PI/2),i.startangle=-(i.x0-Math.PI/2),i.stopangle=-(i.x1-Math.PI/2),i.halfangle=.5*Math.min(s.angleDelta(i.x0,i.x1)||Math.PI,Math.PI),i.ring=1-i.rpx0/i.rpx1,i.rInscribed=function(t){return 0===t.rpx0&&s.isFullCircle([t.x0,t.x1])?1:Math.max(0,Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2))}(i),b?h.transition().attrTween(\"d\",(function(t){var e=function(t){var e,r=F[_.getPtId(t)],n={x0:t.x0,x1:t.x1,rpx0:t.rpx0,rpx1:t.rpx1};if(r)e=r;else if(R)if(t.parent)if(X){var i=(t.x1>X?2*Math.PI:0)+V;e={x0:i,x1:i}}else e={rpx0:z,rpx1:z},s.extendFlat(e,K(t));else e={rpx0:0,rpx1:0};else e={x0:V,x1:V};return a(e,n)}(t);return function(t){return Z(e(t))}})):h.attr(\"d\",Z),c.call(v,S,t,r,{eventDataKeys:x.eventDataKeys,transitionTime:x.CLICK_TRANSITION_TIME,transitionEasing:x.CLICK_TRANSITION_EASING}).call(_.setSliceCursor,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:t._transitioning}),h.call(g,i,A,t);var p=s.ensureSingle(c,\"g\",\"slicetext\"),w=s.ensureSingle(p,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),T=s.ensureUniformFontSize(t,_.determineTextFont(A,i,y.font));w.text(e.formatSliceLabel(i,S,A,r,y)).classed(\"slicetext\",!0).attr(\"text-anchor\",\"middle\").call(o.font,T).call(l.convertToTspans,t);var M=o.bBox(w.node());i.transform=m(M,i,k),i.transform.targetX=W(i),i.transform.targetY=Y(i);var E=function(t,e){var r=t.transform;return d(r,e),r.fontSize=T.size,u(A.type,r,y),s.getTextTransform(r)};b?w.transition().attrTween(\"transform\",(function(t){var e=function(t){var e,r=F[_.getPtId(t)],n=t.transform;if(r)e=r;else if(e={rpx1:t.rpx1,transform:{textPosAngle:n.textPosAngle,scale:0,rotate:n.rotate,rCenter:n.rCenter,x:n.x,y:n.y}},R)if(t.parent)if(X){var i=t.x1>X?2*Math.PI:0;e.x0=e.x1=i}else s.extendFlat(e,K(t));else e.x0=e.x1=V;else e.x0=e.x1=V;var o=a(e.transform.textPosAngle,t.transform.textPosAngle),l=a(e.rpx1,t.rpx1),c=a(e.x0,t.x0),h=a(e.x1,t.x1),f=a(e.transform.scale,n.scale),p=a(e.transform.rotate,n.rotate),d=0===n.rCenter?3:0===e.transform.rCenter?1/3:1,m=a(e.transform.rCenter,n.rCenter);return function(t){var e=l(t),r=c(t),i=h(t),a=function(t){return m(Math.pow(t,d))}(t),s={pxmid:G(e,(r+i)/2),rpx1:e,transform:{textPosAngle:o(t),rCenter:a,x:n.x,y:n.y}};return u(A.type,n,y),{transform:{targetX:W(s),targetY:Y(s),scale:f(t),rotate:p(t),rCenter:a}}}}(t);return function(t){return E(e(t),M)}})):w.attr(\"transform\",E(i,M))}))}function w(t){return e=t.rpx1,r=t.transform.textPosAngle,[e*Math.sin(r),-e*Math.cos(r)];var e,r}e.plot=function(t,e,r,i){var a,o,s=t._fullLayout,l=s._sunburstlayer,c=!r,u=!s.uniformtext.mode&&_.hasTransition(r);h(\"sunburst\",s),(a=l.selectAll(\"g.trace.sunburst\").data(e,(function(t){return t[0].trace.uid}))).enter().append(\"g\").classed(\"trace\",!0).classed(\"sunburst\",!0).attr(\"stroke-linejoin\",\"round\"),a.order(),u?(i&&(o=i()),n.transition().duration(r.duration).ease(r.easing).each(\"end\",(function(){o&&o()})).each(\"interrupt\",(function(){o&&o()})).each((function(){l.selectAll(\"g.trace\").each((function(e){b(t,e,this,r)}))}))):(a.each((function(e){b(t,e,this,r)})),s.uniformtext.mode&&y(t,s._sunburstlayer.selectAll(\".trace\"),\"sunburst\")),c&&a.exit().remove()},e.formatSliceLabel=function(t,e,r,n,i){var a=r.texttemplate,o=r.textinfo;if(!(a||o&&\"none\"!==o))return\"\";var l=i.separators,c=n[0],u=t.data.data,h=c.hierarchy,f=_.isHierarchyRoot(t),p=_.getParent(h,t),d=_.getValue(t);if(!a){var m,g=o.split(\"+\"),y=function(t){return-1!==g.indexOf(t)},v=[];if(y(\"label\")&&u.label&&v.push(u.label),u.hasOwnProperty(\"v\")&&y(\"value\")&&v.push(_.formatValue(u.v,l)),!f){y(\"current path\")&&v.push(_.getPath(t.data));var x=0;y(\"percent parent\")&&x++,y(\"percent entry\")&&x++,y(\"percent root\")&&x++;var b=x>1;if(x){var w,T=function(t){m=_.formatPercent(w,l),b&&(m+=\" of \"+t),v.push(m)};y(\"percent parent\")&&!f&&(w=d/_.getValue(p),T(\"parent\")),y(\"percent entry\")&&(w=d/_.getValue(e),T(\"entry\")),y(\"percent root\")&&(w=d/_.getValue(h),T(\"root\"))}}return y(\"text\")&&(m=s.castOption(r,u.i,\"text\"),s.isValidTextValue(m)&&v.push(m)),v.join(\"<br>\")}var k=s.castOption(r,u.i,\"texttemplate\");if(!k)return\"\";var A={};u.label&&(A.label=u.label),u.hasOwnProperty(\"v\")&&(A.value=u.v,A.valueLabel=_.formatValue(u.v,l)),A.currentPath=_.getPath(t.data),f||(A.percentParent=d/_.getValue(p),A.percentParentLabel=_.formatPercent(A.percentParent,l),A.parent=_.getPtLabel(p)),A.percentEntry=d/_.getValue(e),A.percentEntryLabel=_.formatPercent(A.percentEntry,l),A.entry=_.getPtLabel(e),A.percentRoot=d/_.getValue(h),A.percentRootLabel=_.formatPercent(A.percentRoot,l),A.root=_.getPtLabel(h),u.hasOwnProperty(\"color\")&&(A.color=u.color);var M=s.castOption(r,u.i,\"text\");return(s.isValidTextValue(M)||\"\"===M)&&(A.text=M),A.customdata=s.castOption(r,u.i,\"customdata\"),s.texttemplateString(k,A,i._d3locale,A,r._meta||{})}},98972:function(t,e,r){\"use strict\";var n=r(45568),i=r(78766),a=r(34809),o=r(84102).resizeText,s=r(72043);function l(t,e,r,n){var o=e.data.data,l=!e.children,c=o.i,u=a.castOption(r,c,\"marker.line.color\")||i.defaultLine,h=a.castOption(r,c,\"marker.line.width\")||0;t.call(s,e,r,n).style(\"stroke-width\",h).call(i.stroke,u).style(\"opacity\",l?r.leaf.opacity:null)}t.exports={style:function(t){var e=t._fullLayout._sunburstlayer.selectAll(\".trace\");o(t,e,\"sunburst\"),e.each((function(e){var r=n.select(this),i=e[0].trace;r.style(\"opacity\",i.opacity),r.selectAll(\"path.surface\").each((function(e){n.select(this).call(l,e,i,t)}))}))},styleOne:l}},16131:function(t,e,r){\"use strict\";var n=r(78766),i=r(87163),a=r(80712).axisHoverFormat,o=r(3208).rb,s=r(9829),l=r(93049).extendFlat,c=r(13582).overrideAll;function u(t){return{show:{valType:\"boolean\",dflt:!1},start:{valType:\"number\",dflt:null,editType:\"plot\"},end:{valType:\"number\",dflt:null,editType:\"plot\"},size:{valType:\"number\",dflt:null,min:0,editType:\"plot\"},project:{x:{valType:\"boolean\",dflt:!1},y:{valType:\"boolean\",dflt:!1},z:{valType:\"boolean\",dflt:!1}},color:{valType:\"color\",dflt:n.defaultLine},usecolormap:{valType:\"boolean\",dflt:!1},width:{valType:\"number\",min:1,max:16,dflt:2},highlight:{valType:\"boolean\",dflt:!0},highlightcolor:{valType:\"color\",dflt:n.defaultLine},highlightwidth:{valType:\"number\",min:1,max:16,dflt:2}}}var h=t.exports=c(l({z:{valType:\"data_array\"},x:{valType:\"data_array\"},y:{valType:\"data_array\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:o(),xhoverformat:a(\"x\"),yhoverformat:a(\"y\"),zhoverformat:a(\"z\"),connectgaps:{valType:\"boolean\",dflt:!1,editType:\"calc\"},surfacecolor:{valType:\"data_array\"}},i(\"\",{colorAttr:\"z or 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n=r(28379);t.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:\"\",cLetter:\"c\"}):n(t,e,{vals:e.z,containerStr:\"\",cLetter:\"c\"})}},27159:function(t,e,r){\"use strict\";var n=r(99098).gl_surface3d,i=r(99098).ndarray,a=r(99098).ndarray_linear_interpolate.d2,o=r(69295),s=r(78106),l=r(34809).isArrayOrTypedArray,c=r(46998).parseColorScale,u=r(55010),h=r(88856).extractOpts;function f(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=f.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?i:n.d2l(i,0,r)},p.getZat=function(t,e,r,n){var i=this.data.z[e][t];return null===i&&this.data.connectgaps&&this.data._interpolatedZ&&(i=this.data._interpolatedZ[e][t]),void 0===r?i:n.d2l(i,0,r)},p.handlePick=function(t){if(t.object===this.surface){var e=(t.data.index[0]-1)/this.dataScaleX-1,r=(t.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(e),this.data.z[0].length-1),0),i=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);t.index=[n,i],t.traceCoordinate=[this.getXat(n,i),this.getYat(n,i),this.getZat(n,i)],t.dataCoordinate=[this.getXat(n,i,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,i,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,i,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var a=0;a<3;a++){null!=t.dataCoordinate[a]&&(t.dataCoordinate[a]*=this.scene.dataScale[a])}var o=this.data.hovertext||this.data.text;return l(o)&&o[i]&&void 0!==o[i][n]?t.textLabel=o[i][n]:t.textLabel=o||\"\",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var d=[2,3,5,7,11,13,17,19,23,29,31,37,41,43,47,53,59,61,67,71,73,79,83,89,97,101,103,107,109,113,127,131,137,139,149,151,157,163,167,173,179,181,191,193,197,199,211,223,227,229,233,239,241,251,257,263,269,271,277,281,283,293,307,311,313,317,331,337,347,349,353,359,367,373,379,383,389,397,401,409,419,421,431,433,439,443,449,457,461,463,467,479,487,491,499,503,509,521,523,541,547,557,563,569,571,577,587,593,599,601,607,613,617,619,631,641,643,647,653,659,661,673,677,683,691,701,709,719,727,733,739,743,751,757,761,769,773,787,797,809,811,821,823,827,829,839,853,857,859,863,877,881,883,887,907,911,919,929,937,941,947,953,967,971,977,983,991,997,1009,1013,1019,1021,1031,1033,1039,1049,1051,1061,1063,1069,1087,1091,1093,1097,1103,1109,1117,1123,1129,1151,1153,1163,1171,1181,1187,1193,1201,1213,1217,1223,1229,1231,1237,1249,1259,1277,1279,1283,1289,1291,1297,1301,1303,1307,1319,1321,1327,1361,1367,1373,1381,1399,1409,1423,1427,1429,1433,1439,1447,1451,1453,1459,1471,1481,1483,1487,1489,1493,1499,1511,1523,1531,1543,1549,1553,1559,1567,1571,1579,1583,1597,1601,1607,1609,1613,1619,1621,1627,1637,1657,1663,1667,1669,1693,1697,1699,1709,1721,1723,1733,1741,1747,1753,1759,1777,1783,1787,1789,1801,1811,1823,1831,1847,1861,1867,1871,1873,1877,1879,1889,1901,1907,1913,1931,1933,1949,1951,1973,1979,1987,1993,1997,1999,2003,2011,2017,2027,2029,2039,2053,2063,2069,2081,2083,2087,2089,2099,2111,2113,2129,2131,2137,2141,2143,2153,2161,2179,2203,2207,2213,2221,2237,2239,2243,2251,2267,2269,2273,2281,2287,2293,2297,2309,2311,2333,2339,2341,2347,2351,2357,2371,2377,2381,2383,2389,2393,2399,2411,2417,2423,2437,2441,2447,2459,2467,2473,2477,2503,2521,2531,2539,2543,2549,2551,2557,2579,2591,2593,2609,2617,2621,2633,2647,2657,2659,2663,2671,2677,2683,2687,2689,2693,2699,2707,2711,2713,2719,2729,2731,2741,2749,2753,2767,2777,2789,2791,2797,2801,2803,2819,2833,2837,2843,2851,2857,2861,2879,2887,2897,2903,2909,2917,2927,2939,2953,2957,2963,2969,2971,2999];function 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32-Math.clz32(t)}:a.prototype._countBits=function(t){var e=t,r=0;return e>=4096&&(r+=13,e>>>=13),e>=64&&(r+=7,e>>>=7),e>=8&&(r+=4,e>>>=4),e>=2&&(r+=2,e>>>=2),r+e},a.prototype._zeroBits=function(t){if(0===t)return 26;var e=t,r=0;return 0==(8191&e)&&(r+=13,e>>>=13),0==(127&e)&&(r+=7,e>>>=7),0==(15&e)&&(r+=4,e>>>=4),0==(3&e)&&(r+=2,e>>>=2),0==(1&e)&&r++,r},a.prototype.bitLength=function(){var t=this.words[this.length-1],e=this._countBits(t);return 26*(this.length-1)+e},a.prototype.zeroBits=function(){if(this.isZero())return 0;for(var t=0,e=0;e<this.length;e++){var r=this._zeroBits(this.words[e]);if(t+=r,26!==r)break}return t},a.prototype.byteLength=function(){return Math.ceil(this.bitLength()/8)},a.prototype.toTwos=function(t){return 0!==this.negative?this.abs().inotn(t).iaddn(1):this.clone()},a.prototype.fromTwos=function(t){return this.testn(t-1)?this.notn(t).iaddn(1).ineg():this.clone()},a.prototype.isNeg=function(){return 0!==this.negative},a.prototype.neg=function(){return 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this.length>t.length?this.clone().iuand(t):t.clone().iuand(this)},a.prototype.iuxor=function(t){var e,r;this.length>t.length?(e=this,r=t):(e=t,r=this);for(var n=0;n<r.length;n++)this.words[n]=e.words[n]^r.words[n];if(this!==e)for(;n<e.length;n++)this.words[n]=e.words[n];return this.length=e.length,this.strip()},a.prototype.ixor=function(t){return n(0==(this.negative|t.negative)),this.iuxor(t)},a.prototype.xor=function(t){return this.length>t.length?this.clone().ixor(t):t.clone().ixor(this)},a.prototype.uxor=function(t){return this.length>t.length?this.clone().iuxor(t):t.clone().iuxor(this)},a.prototype.inotn=function(t){n(\"number\"==typeof t&&t>=0);var e=0|Math.ceil(t/26),r=t%26;this._expand(e),r>0&&e--;for(var i=0;i<e;i++)this.words[i]=67108863&~this.words[i];return r>0&&(this.words[i]=~this.words[i]&67108863>>26-r),this.strip()},a.prototype.notn=function(t){return this.clone().inotn(t)},a.prototype.setn=function(t,e){n(\"number\"==typeof t&&t>=0);var r=t/26|0,i=t%26;return this._expand(r+1),this.words[r]=e?this.words[r]|1<<i:this.words[r]&~(1<<i),this.strip()},a.prototype.iadd=function(t){var e,r,n;if(0!==this.negative&&0===t.negative)return this.negative=0,e=this.isub(t),this.negative^=1,this._normSign();if(0===this.negative&&0!==t.negative)return t.negative=0,e=this.isub(t),t.negative=1,e._normSign();this.length>t.length?(r=this,n=t):(r=t,n=this);for(var i=0,a=0;a<n.length;a++)e=(0|r.words[a])+(0|n.words[a])+i,this.words[a]=67108863&e,i=e>>>26;for(;0!==i&&a<r.length;a++)e=(0|r.words[a])+i,this.words[a]=67108863&e,i=e>>>26;if(this.length=r.length,0!==i)this.words[this.length]=i,this.length++;else if(r!==this)for(;a<r.length;a++)this.words[a]=r.words[a];return this},a.prototype.add=function(t){var e;return 0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var a=0,o=0;o<n.length;o++)a=(e=(0|r.words[o])-(0|n.words[o])+a)>>26,this.words[o]=67108863&e;for(;0!==a&&o<r.length;o++)a=(e=(0|r.words[o])+a)>>26,this.words[o]=67108863&e;if(0===a&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},a.prototype.sub=function(t){return this.clone().isub(t)};var d=function(t,e,r){var n,i,a,o=t.words,s=e.words,l=r.words,c=0,u=0|o[0],h=8191&u,f=u>>>13,p=0|o[1],d=8191&p,m=p>>>13,g=0|o[2],y=8191&g,v=g>>>13,x=0|o[3],_=8191&x,b=x>>>13,w=0|o[4],T=8191&w,k=w>>>13,A=0|o[5],M=8191&A,S=A>>>13,E=0|o[6],C=8191&E,L=E>>>13,I=0|o[7],P=8191&I,z=I>>>13,O=0|o[8],D=8191&O,R=O>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],U=8191&j,V=j>>>13,q=0|s[1],H=8191&q,G=q>>>13,Z=0|s[2],W=8191&Z,Y=Z>>>13,X=0|s[3],$=8191&X,J=X>>>13,K=0|s[4],Q=8191&K,tt=K>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,it=0|s[6],at=8191&it,ot=it>>>13,st=0|s[7],lt=8191&st,ct=st>>>13,ut=0|s[8],ht=8191&ut,ft=ut>>>13,pt=0|s[9],dt=8191&pt,mt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var gt=(c+(n=Math.imul(h,U))|0)+((8191&(i=(i=Math.imul(h,V))+Math.imul(f,U)|0))<<13)|0;c=((a=Math.imul(f,V))+(i>>>13)|0)+(gt>>>26)|0,gt&=67108863,n=Math.imul(d,U),i=(i=Math.imul(d,V))+Math.imul(m,U)|0,a=Math.imul(m,V);var yt=(c+(n=n+Math.imul(h,H)|0)|0)+((8191&(i=(i=i+Math.imul(h,G)|0)+Math.imul(f,H)|0))<<13)|0;c=((a=a+Math.imul(f,G)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(y,U),i=(i=Math.imul(y,V))+Math.imul(v,U)|0,a=Math.imul(v,V),n=n+Math.imul(d,H)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(m,H)|0,a=a+Math.imul(m,G)|0;var vt=(c+(n=n+Math.imul(h,W)|0)|0)+((8191&(i=(i=i+Math.imul(h,Y)|0)+Math.imul(f,W)|0))<<13)|0;c=((a=a+Math.imul(f,Y)|0)+(i>>>13)|0)+(vt>>>26)|0,vt&=67108863,n=Math.imul(_,U),i=(i=Math.imul(_,V))+Math.imul(b,U)|0,a=Math.imul(b,V),n=n+Math.imul(y,H)|0,i=(i=i+Math.imul(y,G)|0)+Math.imul(v,H)|0,a=a+Math.imul(v,G)|0,n=n+Math.imul(d,W)|0,i=(i=i+Math.imul(d,Y)|0)+Math.imul(m,W)|0,a=a+Math.imul(m,Y)|0;var xt=(c+(n=n+Math.imul(h,$)|0)|0)+((8191&(i=(i=i+Math.imul(h,J)|0)+Math.imul(f,$)|0))<<13)|0;c=((a=a+Math.imul(f,J)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(_,H)|0,i=(i=i+Math.imul(_,G)|0)+Math.imul(b,H)|0,a=a+Math.imul(b,G)|0,n=n+Math.imul(y,W)|0,i=(i=i+Math.imul(y,Y)|0)+Math.imul(v,W)|0,a=a+Math.imul(v,Y)|0,n=n+Math.imul(d,$)|0,i=(i=i+Math.imul(d,J)|0)+Math.imul(m,$)|0,a=a+Math.imul(m,J)|0;var _t=(c+(n=n+Math.imul(h,Q)|0)|0)+((8191&(i=(i=i+Math.imul(h,tt)|0)+Math.imul(f,Q)|0))<<13)|0;c=((a=a+Math.imul(f,tt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,H)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,H)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(_,W)|0,i=(i=i+Math.imul(_,Y)|0)+Math.imul(b,W)|0,a=a+Math.imul(b,Y)|0,n=n+Math.imul(y,$)|0,i=(i=i+Math.imul(y,J)|0)+Math.imul(v,$)|0,a=a+Math.imul(v,J)|0,n=n+Math.imul(d,Q)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(m,Q)|0,a=a+Math.imul(m,tt)|0;var bt=(c+(n=n+Math.imul(h,rt)|0)|0)+((8191&(i=(i=i+Math.imul(h,nt)|0)+Math.imul(f,rt)|0))<<13)|0;c=((a=a+Math.imul(f,nt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(C,U),i=(i=Math.imul(C,V))+Math.imul(L,U)|0,a=Math.imul(L,V),n=n+Math.imul(M,H)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,H)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,W)|0,i=(i=i+Math.imul(T,Y)|0)+Math.imul(k,W)|0,a=a+Math.imul(k,Y)|0,n=n+Math.imul(_,$)|0,i=(i=i+Math.imul(_,J)|0)+Math.imul(b,$)|0,a=a+Math.imul(b,J)|0,n=n+Math.imul(y,Q)|0,i=(i=i+Math.imul(y,tt)|0)+Math.imul(v,Q)|0,a=a+Math.imul(v,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0;var wt=(c+(n=n+Math.imul(h,at)|0)|0)+((8191&(i=(i=i+Math.imul(h,ot)|0)+Math.imul(f,at)|0))<<13)|0;c=((a=a+Math.imul(f,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(P,U),i=(i=Math.imul(P,V))+Math.imul(z,U)|0,a=Math.imul(z,V),n=n+Math.imul(C,H)|0,i=(i=i+Math.imul(C,G)|0)+Math.imul(L,H)|0,a=a+Math.imul(L,G)|0,n=n+Math.imul(M,W)|0,i=(i=i+Math.imul(M,Y)|0)+Math.imul(S,W)|0,a=a+Math.imul(S,Y)|0,n=n+Math.imul(T,$)|0,i=(i=i+Math.imul(T,J)|0)+Math.imul(k,$)|0,a=a+Math.imul(k,J)|0,n=n+Math.imul(_,Q)|0,i=(i=i+Math.imul(_,tt)|0)+Math.imul(b,Q)|0,a=a+Math.imul(b,tt)|0,n=n+Math.imul(y,rt)|0,i=(i=i+Math.imul(y,nt)|0)+Math.imul(v,rt)|0,a=a+Math.imul(v,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0;var Tt=(c+(n=n+Math.imul(h,lt)|0)|0)+((8191&(i=(i=i+Math.imul(h,ct)|0)+Math.imul(f,lt)|0))<<13)|0;c=((a=a+Math.imul(f,ct)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(D,U),i=(i=Math.imul(D,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(P,H)|0,i=(i=i+Math.imul(P,G)|0)+Math.imul(z,H)|0,a=a+Math.imul(z,G)|0,n=n+Math.imul(C,W)|0,i=(i=i+Math.imul(C,Y)|0)+Math.imul(L,W)|0,a=a+Math.imul(L,Y)|0,n=n+Math.imul(M,$)|0,i=(i=i+Math.imul(M,J)|0)+Math.imul(S,$)|0,a=a+Math.imul(S,J)|0,n=n+Math.imul(T,Q)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,Q)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(_,rt)|0,i=(i=i+Math.imul(_,nt)|0)+Math.imul(b,rt)|0,a=a+Math.imul(b,nt)|0,n=n+Math.imul(y,at)|0,i=(i=i+Math.imul(y,ot)|0)+Math.imul(v,at)|0,a=a+Math.imul(v,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ct)|0)+Math.imul(m,lt)|0,a=a+Math.imul(m,ct)|0;var kt=(c+(n=n+Math.imul(h,ht)|0)|0)+((8191&(i=(i=i+Math.imul(h,ft)|0)+Math.imul(f,ht)|0))<<13)|0;c=((a=a+Math.imul(f,ft)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(D,H)|0,i=(i=i+Math.imul(D,G)|0)+Math.imul(R,H)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(P,W)|0,i=(i=i+Math.imul(P,Y)|0)+Math.imul(z,W)|0,a=a+Math.imul(z,Y)|0,n=n+Math.imul(C,$)|0,i=(i=i+Math.imul(C,J)|0)+Math.imul(L,$)|0,a=a+Math.imul(L,J)|0,n=n+Math.imul(M,Q)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,Q)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(_,at)|0,i=(i=i+Math.imul(_,ot)|0)+Math.imul(b,at)|0,a=a+Math.imul(b,ot)|0,n=n+Math.imul(y,lt)|0,i=(i=i+Math.imul(y,ct)|0)+Math.imul(v,lt)|0,a=a+Math.imul(v,ct)|0,n=n+Math.imul(d,ht)|0,i=(i=i+Math.imul(d,ft)|0)+Math.imul(m,ht)|0,a=a+Math.imul(m,ft)|0;var At=(c+(n=n+Math.imul(h,dt)|0)|0)+((8191&(i=(i=i+Math.imul(h,mt)|0)+Math.imul(f,dt)|0))<<13)|0;c=((a=a+Math.imul(f,mt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,H),i=(i=Math.imul(B,G))+Math.imul(N,H)|0,a=Math.imul(N,G),n=n+Math.imul(D,W)|0,i=(i=i+Math.imul(D,Y)|0)+Math.imul(R,W)|0,a=a+Math.imul(R,Y)|0,n=n+Math.imul(P,$)|0,i=(i=i+Math.imul(P,J)|0)+Math.imul(z,$)|0,a=a+Math.imul(z,J)|0,n=n+Math.imul(C,Q)|0,i=(i=i+Math.imul(C,tt)|0)+Math.imul(L,Q)|0,a=a+Math.imul(L,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(_,lt)|0,i=(i=i+Math.imul(_,ct)|0)+Math.imul(b,lt)|0,a=a+Math.imul(b,ct)|0,n=n+Math.imul(y,ht)|0,i=(i=i+Math.imul(y,ft)|0)+Math.imul(v,ht)|0,a=a+Math.imul(v,ft)|0;var Mt=(c+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,mt)|0)+Math.imul(m,dt)|0))<<13)|0;c=((a=a+Math.imul(m,mt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,W),i=(i=Math.imul(B,Y))+Math.imul(N,W)|0,a=Math.imul(N,Y),n=n+Math.imul(D,$)|0,i=(i=i+Math.imul(D,J)|0)+Math.imul(R,$)|0,a=a+Math.imul(R,J)|0,n=n+Math.imul(P,Q)|0,i=(i=i+Math.imul(P,tt)|0)+Math.imul(z,Q)|0,a=a+Math.imul(z,tt)|0,n=n+Math.imul(C,rt)|0,i=(i=i+Math.imul(C,nt)|0)+Math.imul(L,rt)|0,a=a+Math.imul(L,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ct)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ct)|0,n=n+Math.imul(_,ht)|0,i=(i=i+Math.imul(_,ft)|0)+Math.imul(b,ht)|0,a=a+Math.imul(b,ft)|0;var St=(c+(n=n+Math.imul(y,dt)|0)|0)+((8191&(i=(i=i+Math.imul(y,mt)|0)+Math.imul(v,dt)|0))<<13)|0;c=((a=a+Math.imul(v,mt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,$),i=(i=Math.imul(B,J))+Math.imul(N,$)|0,a=Math.imul(N,J),n=n+Math.imul(D,Q)|0,i=(i=i+Math.imul(D,tt)|0)+Math.imul(R,Q)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(P,rt)|0,i=(i=i+Math.imul(P,nt)|0)+Math.imul(z,rt)|0,a=a+Math.imul(z,nt)|0,n=n+Math.imul(C,at)|0,i=(i=i+Math.imul(C,ot)|0)+Math.imul(L,at)|0,a=a+Math.imul(L,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ct)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ct)|0,n=n+Math.imul(T,ht)|0,i=(i=i+Math.imul(T,ft)|0)+Math.imul(k,ht)|0,a=a+Math.imul(k,ft)|0;var Et=(c+(n=n+Math.imul(_,dt)|0)|0)+((8191&(i=(i=i+Math.imul(_,mt)|0)+Math.imul(b,dt)|0))<<13)|0;c=((a=a+Math.imul(b,mt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,Q),i=(i=Math.imul(B,tt))+Math.imul(N,Q)|0,a=Math.imul(N,tt),n=n+Math.imul(D,rt)|0,i=(i=i+Math.imul(D,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(P,at)|0,i=(i=i+Math.imul(P,ot)|0)+Math.imul(z,at)|0,a=a+Math.imul(z,ot)|0,n=n+Math.imul(C,lt)|0,i=(i=i+Math.imul(C,ct)|0)+Math.imul(L,lt)|0,a=a+Math.imul(L,ct)|0,n=n+Math.imul(M,ht)|0,i=(i=i+Math.imul(M,ft)|0)+Math.imul(S,ht)|0,a=a+Math.imul(S,ft)|0;var Ct=(c+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,mt)|0)+Math.imul(k,dt)|0))<<13)|0;c=((a=a+Math.imul(k,mt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(D,at)|0,i=(i=i+Math.imul(D,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(P,lt)|0,i=(i=i+Math.imul(P,ct)|0)+Math.imul(z,lt)|0,a=a+Math.imul(z,ct)|0,n=n+Math.imul(C,ht)|0,i=(i=i+Math.imul(C,ft)|0)+Math.imul(L,ht)|0,a=a+Math.imul(L,ft)|0;var Lt=(c+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,mt)|0)+Math.imul(S,dt)|0))<<13)|0;c=((a=a+Math.imul(S,mt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(D,lt)|0,i=(i=i+Math.imul(D,ct)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ct)|0,n=n+Math.imul(P,ht)|0,i=(i=i+Math.imul(P,ft)|0)+Math.imul(z,ht)|0,a=a+Math.imul(z,ft)|0;var It=(c+(n=n+Math.imul(C,dt)|0)|0)+((8191&(i=(i=i+Math.imul(C,mt)|0)+Math.imul(L,dt)|0))<<13)|0;c=((a=a+Math.imul(L,mt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ct))+Math.imul(N,lt)|0,a=Math.imul(N,ct),n=n+Math.imul(D,ht)|0,i=(i=i+Math.imul(D,ft)|0)+Math.imul(R,ht)|0,a=a+Math.imul(R,ft)|0;var Pt=(c+(n=n+Math.imul(P,dt)|0)|0)+((8191&(i=(i=i+Math.imul(P,mt)|0)+Math.imul(z,dt)|0))<<13)|0;c=((a=a+Math.imul(z,mt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,ht),i=(i=Math.imul(B,ft))+Math.imul(N,ht)|0,a=Math.imul(N,ft);var zt=(c+(n=n+Math.imul(D,dt)|0)|0)+((8191&(i=(i=i+Math.imul(D,mt)|0)+Math.imul(R,dt)|0))<<13)|0;c=((a=a+Math.imul(R,mt)|0)+(i>>>13)|0)+(zt>>>26)|0,zt&=67108863;var Ot=(c+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,mt))+Math.imul(N,dt)|0))<<13)|0;return c=((a=Math.imul(N,mt))+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863,l[0]=gt,l[1]=yt,l[2]=vt,l[3]=xt,l[4]=_t,l[5]=bt,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Ct,l[14]=Lt,l[15]=It,l[16]=Pt,l[17]=zt,l[18]=Ot,0!==c&&(l[19]=c,r.length++),r};function m(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r,n=this.length+t.length;return r=10===this.length&&10===t.length?d(this,t,e):n<63?p(this,t,e):n<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a<r.length-1;a++){var o=i;i=0;for(var s=67108863&n,l=Math.min(a,e.length-1),c=Math.max(0,a-t.length+1);c<=l;c++){var u=a-c,h=(0|t.words[u])*(0|e.words[c]),f=67108863&h;s=67108863&(f=f+s|0),i+=(o=(o=o+(h/67108864|0)|0)+(f>>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):m(this,t,e),r},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},g.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i<e;i++)n|=(1&t)<<e-i-1,t>>=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o<a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},g.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o<i;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),c=Math.sin(2*Math.PI/s),u=0;u<i;u+=s)for(var h=l,f=c,p=0;p<o;p++){var d=r[u+p],m=n[u+p],g=r[u+p+o],y=n[u+p+o],v=h*g-f*y;y=h*y+f*g,g=v,r[u+p]=d+g,n[u+p]=m+y,r[u+p+o]=d-g,n[u+p+o]=m-y,p!==s&&(v=l*h-c*f,f=l*f+c*h,h=v)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,i=0;for(r=r/2|0;r;r>>>=1)i++;return 1<<i+1+n},g.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var i=t[n];t[n]=t[r-n-1],t[r-n-1]=i,i=e[n],e[n]=-e[r-n-1],e[r-n-1]=-i}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&i,r=i<67108864?0:i/67108864|0}return t},g.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o<e;o++)a+=0|t[o],r[2*o]=8191&a,a>>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o<i;++o)r[o]=0;n(0===a),n(0==(-8192&a))},g.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},g.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(n),a=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),c=new Array(n),u=new Array(n),h=new Array(n),f=r.words;f.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,c,n),this.transform(o,a,s,l,n,i),this.transform(c,a,u,h,n,i);for(var p=0;p<n;p++){var d=s[p]*u[p]-l[p]*h[p];l[p]=s[p]*h[p]+l[p]*u[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,f,a,n,i),this.conjugate(f,a,n),this.normalize13b(f,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},a.prototype.mul=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},a.prototype.mulf=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),m(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n(\"number\"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var i=(0|this.words[r])*t,a=(67108863&i)+(67108863&e);e>>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,i=r%26;e[r]=(t.words[n]&1<<i)>>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var i=r.sqr();n<e.length;n++,i=i.sqr())0!==e[n]&&(r=r.mul(i));return r},a.prototype.iushln=function(t){n(\"number\"==typeof t&&t>=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&a,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e<i;e++)this.words[e]=0;this.length+=i}return this.strip()},a.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},a.prototype.iushrn=function(t,e,r){var i;n(\"number\"==typeof t&&t>=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<<a,l=r;if(i-=o,i=Math.max(0,i),l){for(var c=0;c<o;c++)l.words[c]=this.words[c];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,c=0;c<this.length;c++)this.words[c]=this.words[c+o];else this.words[0]=0,this.length=1;var u=0;for(c=this.length-1;c>=0&&(0!==u||c>=i);c--){var h=0|this.words[c];this.words[c]=u<<26-a|h>>>a,u=h&s}return l&&0!==u&&(l.words[l.length++]=u),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<<e;return!(this.length<=r||!(this.words[r]&i))},a.prototype.imaskn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,\"imaskn works only with positive numbers\"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<<e;this.words[this.length-1]&=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n(\"number\"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},a.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n(\"number\"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},a.prototype.addn=function(t){return this.clone().iaddn(t)},a.prototype.subn=function(t){return this.clone().isubn(t)},a.prototype.iabs=function(){return this.negative=0,this},a.prototype.abs=function(){return this.clone().iabs()},a.prototype._ishlnsubmul=function(t,e,r){var i,a,o=t.length+r;this._expand(o);var s=0;for(i=0;i<t.length;i++){a=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;s=((a-=67108863&l)>>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i<this.length-r;i++)s=(a=(0|this.words[i+r])+s)>>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i<this.length;i++)s=(a=-(0|this.words[i])+s)>>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!=(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if(\"mod\"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var c=0;c<s.length;c++)s.words[c]=0}var u=n.clone()._ishlnsubmul(i,1,l);0===u.negative&&(n=u,s&&(s.words[l]=1));for(var h=l-1;h>=0;h--){var f=67108864*(0|n.words[i.length+h])+(0|n.words[i.length+h-1]);for(f=Math.min(f/o|0,67108863),n._ishlnsubmul(i,f,h);0!==n.negative;)f--,n.negative=0,n._ishlnsubmul(i,1,h),n.isZero()||(n.negative^=1);s&&(s.words[h]=f)}return s&&s.strip(),n.strip(),\"div\"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),\"mod\"!==e&&(i=s.div.neg()),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),\"mod\"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?\"div\"===e?{div:this.divn(t.words[0]),mod:null}:\"mod\"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,\"div\",!1).div},a.prototype.mod=function(t){return this.divmod(t,\"mod\",!1).mod},a.prototype.umod=function(t){return this.divmod(t,\"mod\",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),c=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++c;for(var u=r.clone(),h=e.clone();!e.isZero();){for(var f=0,p=1;0==(e.words[0]&p)&&f<26;++f,p<<=1);if(f>0)for(e.iushrn(f);f-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(u),o.isub(h)),i.iushrn(1),o.iushrn(1);for(var d=0,m=1;0==(r.words[0]&m)&&d<26;++d,m<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(u),l.isub(h)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(c)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var c=0,u=1;0==(e.words[0]&u)&&c<26;++c,u<<=1);if(c>0)for(e.iushrn(c);c-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var h=0,f=1;0==(r.words[0]&f)&&h<26;++h,f<<=1);if(h>0)for(r.iushrn(h);h-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n(\"number\"==typeof t);var e=t%26,r=(t-e)/26,i=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&&o<this.length;o++){var s=0|this.words[o];a=(s+=a)>>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,\"Number is too big\");var i=0|this.words[0];e=i===t?0:i<t?-1:1}return 0!==this.negative?0|-e:e},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},a.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n<i?e=-1:n>i&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new T(t)},a.prototype.toRed=function(t){return n(!this.red,\"Already a number in reduction context\"),n(0===this.negative,\"red works only with positives\"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,\"fromRed works only with numbers in reduction context\"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,\"Already a number in reduction context\"),this._forceRed(t)},a.prototype.redAdd=function(t){return n(this.red,\"redAdd works only with red numbers\"),this.red.add(this,t)},a.prototype.redIAdd=function(t){return n(this.red,\"redIAdd works only with red numbers\"),this.red.iadd(this,t)},a.prototype.redSub=function(t){return n(this.red,\"redSub works only with red numbers\"),this.red.sub(this,t)},a.prototype.redISub=function(t){return n(this.red,\"redISub works only with red numbers\"),this.red.isub(this,t)},a.prototype.redShl=function(t){return n(this.red,\"redShl works only with red numbers\"),this.red.shl(this,t)},a.prototype.redMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.mul(this,t)},a.prototype.redIMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.imul(this,t)},a.prototype.redSqr=function(){return n(this.red,\"redSqr works only with red numbers\"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,\"redISqr works only with red numbers\"),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,\"redSqrt works only with red numbers\"),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,\"redInvm works only with red numbers\"),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,\"redNeg works only with red numbers\"),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&&!t.red,\"redPow(normalNum)\"),this.red._verify1(this),this.red.pow(this,t)};var y={k256:null,p224:null,p192:null,p25519:null};function v(t,e){this.name=t,this.p=new a(e,16),this.n=this.p.bitLength(),this.k=new a(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function x(){v.call(this,\"k256\",\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f\")}function _(){v.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}function b(){v.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}function w(){v.call(this,\"25519\",\"7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed\")}function T(t){if(\"string\"==typeof t){var e=a._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),\"modulus must be greater than 1\"),this.m=t,this.prime=null}function k(t){T.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}v.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},v.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),e=(r=(r=this.imulK(r)).iadd(this.tmp)).bitLength()}while(e>this.n);var n=e<this.n?-1:r.ucmp(this.p);return 0===n?(r.words[0]=0,r.length=1):n>0?r.isub(this.p):void 0!==r.strip?r.strip():r._strip(),r},v.prototype.split=function(t,e){t.iushrn(this.n,0,e)},v.prototype.imulK=function(t){return t.imul(this.k)},i(x,v),x.prototype.split=function(t,e){for(var r=4194303,n=Math.min(t.length,9),i=0;i<n;i++)e.words[i]=t.words[i];if(e.length=n,t.length<=9)return t.words[0]=0,void(t.length=1);var a=t.words[9];for(e.words[e.length++]=a&r,i=10;i<t.length;i++){var o=0|t.words[i];t.words[i-10]=(o&r)<<4|a>>>22,a=o}a>>>=22,t.words[i-10]=a,0===a&&t.length>10?t.length-=10:t.length-=9},x.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r<t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&e,e=64*n+(e/67108864|0)}return 0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},i(_,v),i(b,v),i(w,v),w.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,i=67108863&n;n>>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(y[t])return y[t];var e;if(\"k256\"===t)e=new x;else if(\"p224\"===t)e=new _;else if(\"p192\"===t)e=new b;else{if(\"p25519\"!==t)throw new Error(\"Unknown prime \"+t);e=new w}return y[t]=e,e},T.prototype._verify1=function(t){n(0===t.negative,\"red works only with positives\"),n(t.red,\"red works only with red numbers\")},T.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),\"red works only with positives\"),n(t.red&&t.red===e.red,\"red works only with red numbers\")},T.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},T.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},T.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},T.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},T.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},T.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},T.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},T.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},T.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},T.prototype.isqr=function(t){return this.imul(t,t.clone())},T.prototype.sqr=function(t){return this.mul(t,t)},T.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return this.pow(t,r)}for(var i=this.m.subn(1),o=0;!i.isZero()&&0===i.andln(1);)o++,i.iushrn(1);n(!i.isZero());var s=new a(1).toRed(this),l=s.redNeg(),c=this.m.subn(1).iushrn(1),u=this.m.bitLength();for(u=new a(2*u*u).toRed(this);0!==this.pow(u,c).cmp(l);)u.redIAdd(l);for(var h=this.pow(u,i),f=this.pow(t,i.addn(1).iushrn(1)),p=this.pow(t,i),d=o;0!==p.cmp(s);){for(var m=p,g=0;0!==m.cmp(s);g++)m=m.redSqr();n(g<d);var y=this.pow(h,new a(1).iushln(d-g-1));f=f.redMul(y),h=y.redSqr(),p=p.redMul(h),d=g}return f},T.prototype.invm=function(t){var e=t._invmp(this.m);return 0!==e.negative?(e.negative=0,this.imod(e).redNeg()):this.imod(e)},T.prototype.pow=function(t,e){if(e.isZero())return new a(1).toRed(this);if(0===e.cmpn(1))return t.clone();var r=new Array(16);r[0]=new a(1).toRed(this),r[1]=t;for(var n=2;n<r.length;n++)r[n]=this.mul(r[n-1],t);var i=r[0],o=0,s=0,l=e.bitLength()%26;for(0===l&&(l=26),n=e.length-1;n>=0;n--){for(var c=e.words[n],u=l-1;u>=0;u--){var h=c>>u&1;i!==r[0]&&(i=this.sqr(i)),0!==h||0!==o?(o<<=1,o|=h,(4==++s||0===n&&0===u)&&(i=this.mul(i,r[o]),s=0,o=0)):s=0}l=26}return i},T.prototype.convertTo=function(t){var e=t.umod(this.m);return e===t?e.clone():e},T.prototype.convertFrom=function(t){var e=t.clone();return e.red=null,e},a.mont=function(t){return new k(t)},i(k,T),k.prototype.convertTo=function(t){return this.imod(t.ushln(this.shift))},k.prototype.convertFrom=function(t){var e=this.imod(t.mul(this.rinv));return e.red=null,e},k.prototype.imul=function(t,e){if(t.isZero()||e.isZero())return t.words[0]=0,t.length=1,t;var r=t.imul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),a=i;return i.cmp(this.m)>=0?a=i.isub(this.m):i.cmpn(0)<0&&(a=i.iadd(this.m)),a._forceRed(this)},k.prototype.mul=function(t,e){if(t.isZero()||e.isZero())return new a(0)._forceRed(this);var 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if(f.right===s){if(!(d=p.left)||0!==d._color){p._color=0,p.right=f.left,f._color=1,f.left=p,l[h-2]=f,l[h-1]=s,i(p),i(f),h>=3&&((m=l[h-3]).right===p?m.right=f:m.left=f);break}f._color=1,p.left=n(1,d),p._color=0,h-=1}else{var d;if(!(d=p.left)||0!==d._color){var m;f.left=s.right,p._color=0,p.right=s.left,s._color=1,s.right=f,s.left=p,l[h-2]=s,l[h-1]=f,i(p),i(f),i(s),h>=3&&((m=l[h-3]).right===p?m.right=s:m.left=s);break}f._color=1,p.left=n(1,d),p._color=0,h-=1}}return l[0]._color=1,new a(o,l[0])},o.forEach=function(t,e,r){if(this.root)switch(arguments.length){case 1:return s(t,this.root);case 2:return l(e,this._compare,t,this.root);case 3:if(this._compare(e,r)>=0)return;return c(e,r,this._compare,t,this.root)}},Object.defineProperty(o,\"begin\",{get:function(){for(var t=[],e=this.root;e;)t.push(e),e=e.left;return new u(this,t)}}),Object.defineProperty(o,\"end\",{get:function(){for(var t=[],e=this.root;e;)t.push(e),e=e.right;return new u(this,t)}}),o.at=function(t){if(t<0)return new u(this,[]);for(var e=this.root,r=[];;){if(r.push(e),e.left){if(t<e.left._count){e=e.left;continue}t-=e.left._count}if(!t)return new u(this,r);if(t-=1,!e.right)break;if(t>=e.right._count)break;e=e.right}return new u(this,[])},o.ge=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<=0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new u(this,n)},o.gt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new u(this,n)},o.lt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new u(this,n)},o.le=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>=0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new u(this,n)},o.find=function(t){for(var e=this._compare,r=this.root,n=[];r;){var i=e(t,r.key);if(n.push(r),0===i)return new 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e(s._color,s.key,s.value,s.left,o[l+1],s._count);if((s=o[o.length-1]).left&&s.right){var c=o.length;for(s=s.left;s.right;)o.push(s),s=s.right;var u=o[c-1];for(o.push(new e(s._color,u.key,u.value,s.left,s.right,s._count)),o[c-1].key=s.key,o[c-1].value=s.value,l=o.length-2;l>=c;--l)s=o[l],o[l]=new e(s._color,s.key,s.value,s.left,o[l+1],s._count);o[c-1].left=o[c]}if(0===(s=o[o.length-1])._color){var h=o[o.length-2];for(h.left===s?h.left=null:h.right===s&&(h.right=null),o.pop(),l=0;l<o.length;++l)o[l]._count--;return new a(this.tree._compare,o[0])}if(s.left||s.right){for(s.left?f(s,s.left):s.right&&f(s,s.right),s._color=1,l=0;l<o.length-1;++l)o[l]._count--;return new a(this.tree._compare,o[0])}if(1===o.length)return new a(this.tree._compare,null);for(l=0;l<o.length;++l)o[l]._count--;var p=o[o.length-2];return function(t){for(var e,a,o,s,l=t.length-1;l>=0;--l){if(e=t[l],0===l)return void(e._color=1);if((a=t[l-1]).left===e){if((o=a.right).right&&0===o.right._color)return s=(o=a.right=r(o)).right=r(o.right),a.right=o.left,o.left=a,o.right=s,o._color=a._color,e._color=1,a._color=1,s._color=1,i(a),i(o),l>1&&((c=t[l-2]).left===a?c.left=o:c.right=o),void(t[l-1]=o);if(o.left&&0===o.left._color)return s=(o=a.right=r(o)).left=r(o.left),a.right=s.left,o.left=s.right,s.left=a,s.right=o,s._color=a._color,a._color=1,o._color=1,e._color=1,i(a),i(o),i(s),l>1&&((c=t[l-2]).left===a?c.left=s:c.right=s),void(t[l-1]=s);if(1===o._color){if(0===a._color)return a._color=1,void(a.right=n(0,o));a.right=n(0,o);continue}o=r(o),a.right=o.left,o.left=a,o._color=a._color,a._color=0,i(a),i(o),l>1&&((c=t[l-2]).left===a?c.left=o:c.right=o),t[l-1]=o,t[l]=a,l+1<t.length?t[l+1]=e:t.push(e),l+=2}else{if((o=a.left).left&&0===o.left._color)return s=(o=a.left=r(o)).left=r(o.left),a.left=o.right,o.right=a,o.left=s,o._color=a._color,e._color=1,a._color=1,s._color=1,i(a),i(o),l>1&&((c=t[l-2]).right===a?c.right=o:c.left=o),void(t[l-1]=o);if(o.right&&0===o.right._color)return s=(o=a.left=r(o)).right=r(o.right),a.left=s.right,o.right=s.left,s.right=a,s.left=o,s._color=a._color,a._color=1,o._color=1,e._color=1,i(a),i(o),i(s),l>1&&((c=t[l-2]).right===a?c.right=s:c.left=s),void(t[l-1]=s);if(1===o._color){if(0===a._color)return a._color=1,void(a.left=n(0,o));a.left=n(0,o);continue}var c;o=r(o),a.left=o.right,o.right=a,o._color=a._color,a._color=0,i(a),i(o),l>1&&((c=t[l-2]).right===a?c.right=o:c.left=o),t[l-1]=o,t[l]=a,l+1<t.length?t[l+1]=e:t.push(e),l+=2}}}(o),p.left===s?p.left=null:p.right=null,new a(this.tree._compare,o[0])},Object.defineProperty(h,\"key\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(h,\"value\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(h,\"index\",{get:function(){var t=0,e=this._stack;if(0===e.length){var r=this.tree.root;return r?r._count:0}e[e.length-1].left&&(t=e[e.length-1].left._count);for(var n=e.length-2;n>=0;--n)e[n+1]===e[n].right&&(++t,e[n].left&&(t+=e[n].left._count));return t},enumerable:!0}),h.next=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.right)for(e=e.right;e;)t.push(e),e=e.left;else for(t.pop();t.length>0&&t[t.length-1].right===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(h,\"hasNext\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].right)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].left===t[e])return!0;return!1}}),h.update=function(t){var r=this._stack;if(0===r.length)throw new Error(\"Can't update empty node!\");var n=new Array(r.length),i=r[r.length-1];n[n.length-1]=new e(i._color,i.key,t,i.left,i.right,i._count);for(var o=r.length-2;o>=0;--o)(i=r[o]).left===r[o+1]?n[o]=new e(i._color,i.key,i.value,n[o+1],i.right,i._count):n[o]=new e(i._color,i.key,i.value,i.left,n[o+1],i._count);return new a(this.tree._compare,n[0])},h.prev=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.left)for(e=e.left;e;)t.push(e),e=e.right;else for(t.pop();t.length>0&&t[t.length-1].left===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(h,\"hasPrev\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].left)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].right===t[e])return!0;return!1}})},3837:function(t,e,r){\"use strict\";t.exports=function(t,e){var r=new p(t);return r.update(e),r};var n=r(4935),i=r(501),a=r(5304),o=r(6429),s=r(6444),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),c=ArrayBuffer,u=DataView;function h(t){return Array.isArray(t)||function(t){return c.isView(t)&&!(t instanceof u)}(t)}function f(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t){this.gl=t,this.pixelRatio=1,this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.autoTicks=!0,this.tickSpacing=[1,1,1],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickFontStyle=[\"normal\",\"normal\",\"normal\"],this.tickFontWeight=[\"normal\",\"normal\",\"normal\"],this.tickFontVariant=[\"normal\",\"normal\",\"normal\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickAlign=[\"auto\",\"auto\",\"auto\"],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[10,10,10],this.lastCubeProps={cubeEdges:[0,0,0],axis:[0,0,0]},this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.labelFontStyle=[\"normal\",\"normal\",\"normal\"],this.labelFontWeight=[\"normal\",\"normal\",\"normal\"],this.labelFontVariant=[\"normal\",\"normal\",\"normal\"],this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelAlign=[\"auto\",\"auto\",\"auto\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[10,10,10],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[0,0,0],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!1,!1,!1],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._firstInit=!0,this._text=null,this._lines=null,this._background=a(t)}var d=p.prototype;function m(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}d.update=function(t){function e(e,r,n){if(n in t){var i,a=t[n],o=this[n];(e?h(a)&&h(a[0]):h(a))?this[n]=i=[r(a[0]),r(a[1]),r(a[2])]:this[n]=i=[r(a),r(a),r(a)];for(var s=0;s<3;++s)if(i[s]!==o[s])return!0}return!1}t=t||{};var r,a=e.bind(this,!1,Number),o=e.bind(this,!1,Boolean),l=e.bind(this,!1,String),c=e.bind(this,!0,(function(t){if(h(t)){if(3===t.length)return[+t[0],+t[1],+t[2],1];if(4===t.length)return[+t[0],+t[1],+t[2],+t[3]]}return[0,0,0,1]})),u=!1,f=!1;if(\"bounds\"in t)for(var p=t.bounds,d=0;d<2;++d)for(var m=0;m<3;++m)p[d][m]!==this.bounds[d][m]&&(f=!0),this.bounds[d][m]=p[d][m];if(\"ticks\"in t)for(r=t.ticks,u=!0,this.autoTicks=!1,d=0;d<3;++d)this.tickSpacing[d]=0;else a(\"tickSpacing\")&&(this.autoTicks=!0,f=!0);if(this._firstInit&&(\"ticks\"in t||\"tickSpacing\"in t||(this.autoTicks=!0),f=!0,u=!0,this._firstInit=!1),f&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),u=!0),u){for(d=0;d<3;++d)r[d].sort((function(t,e){return t.x-e.x}));s.equal(r,this.ticks)?u=!1:this.ticks=r}o(\"tickEnable\"),l(\"tickFont\")&&(u=!0),l(\"tickFontStyle\")&&(u=!0),l(\"tickFontWeight\")&&(u=!0),l(\"tickFontVariant\")&&(u=!0),a(\"tickSize\"),a(\"tickAngle\"),a(\"tickPad\"),c(\"tickColor\");var g=l(\"labels\");l(\"labelFont\")&&(g=!0),l(\"labelFontStyle\")&&(g=!0),l(\"labelFontWeight\")&&(g=!0),l(\"labelFontVariant\")&&(g=!0),o(\"labelEnable\"),a(\"labelSize\"),a(\"labelPad\"),c(\"labelColor\"),o(\"lineEnable\"),o(\"lineMirror\"),a(\"lineWidth\"),c(\"lineColor\"),o(\"lineTickEnable\"),o(\"lineTickMirror\"),a(\"lineTickLength\"),a(\"lineTickWidth\"),c(\"lineTickColor\"),o(\"gridEnable\"),a(\"gridWidth\"),c(\"gridColor\"),o(\"zeroEnable\"),c(\"zeroLineColor\"),a(\"zeroLineWidth\"),o(\"backgroundEnable\"),c(\"backgroundColor\");var y=[{family:this.labelFont[0],style:this.labelFontStyle[0],weight:this.labelFontWeight[0],variant:this.labelFontVariant[0]},{family:this.labelFont[1],style:this.labelFontStyle[1],weight:this.labelFontWeight[1],variant:this.labelFontVariant[1]},{family:this.labelFont[2],style:this.labelFontStyle[2],weight:this.labelFontWeight[2],variant:this.labelFontVariant[2]}],v=[{family:this.tickFont[0],style:this.tickFontStyle[0],weight:this.tickFontWeight[0],variant:this.tickFontVariant[0]},{family:this.tickFont[1],style:this.tickFontStyle[1],weight:this.tickFontWeight[1],variant:this.tickFontVariant[1]},{family:this.tickFont[2],style:this.tickFontStyle[2],weight:this.tickFontWeight[2],variant:this.tickFontVariant[2]}];this._text?this._text&&(g||u)&&this._text.update(this.bounds,this.labels,y,this.ticks,v):this._text=n(this.gl,this.bounds,this.labels,y,this.ticks,v),this._lines&&u&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var g=[new m,new m,new m];function y(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,c=n[e],u=0;u<3;++u)if(e!==u){var h=a,f=s,p=o,d=l;c&1<<u&&(h=s,f=a,p=l,d=o),h[u]=r[0][u],f[u]=r[1][u],i[u]>0?(p[u]=-1,d[u]=0):(p[u]=0,d[u]=1)}}var v=[0,0,0],x={model:l,view:l,projection:l,_ortho:!1};d.isOpaque=function(){return!0},d.isTransparent=function(){return!1},d.drawTransparent=function(t){};var _=[0,0,0],b=[0,0,0],w=[0,0,0];d.draw=function(t){t=t||x;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,c=o(r,n,i,a,s),u=c.cubeEdges,h=c.axis,p=n[12],d=n[13],m=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*p+i[7]*d+i[11]*m+i[15]*T)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=u[A],this.lastCubeProps.axis[A]=h[A];var M=g;for(A=0;A<3;++A)y(g[A],A,this.bounds,u,h);e=this.gl;var S,E,C,L=v;for(A=0;A<3;++A)this.backgroundEnable[A]?L[A]=h[A]:L[A]=0;for(this._background.draw(r,n,i,a,L,this.backgroundColor),this._lines.bind(r,n,i,this),A=0;A<3;++A){var I=[0,0,0];h[A]>0?I[A]=a[1][A]:I[A]=a[0][A];for(var P=0;P<2;++P){var z=(A+1+P)%3,O=(A+1+(1^P))%3;this.gridEnable[z]&&this._lines.drawGrid(z,O,this.bounds,I,this.gridColor[z],this.gridWidth[z]*this.pixelRatio)}for(P=0;P<2;++P)z=(A+1+P)%3,O=(A+1+(1^P))%3,this.zeroEnable[O]&&Math.min(a[0][O],a[1][O])<=0&&Math.max(a[0][O],a[1][O])>=0&&this._lines.drawZero(z,O,this.bounds,I,this.zeroLineColor[O],this.zeroLineWidth[O]*this.pixelRatio)}for(A=0;A<3;++A){this.lineEnable[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].primalOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio),this.lineMirror[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].mirrorOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio);var D=f(_,M[A].primalMinor),R=f(b,M[A].mirrorMinor),F=this.lineTickLength;for(P=0;P<3;++P){var B=k/r[5*P];D[P]*=F[P]*B,R[P]*=F[P]*B}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,D,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,R,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}function N(t){(C=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio),A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,q=f(w,M[A].primalOffset);for(P=0;P<3;++P)this.lineTickEnable[A]&&(q[P]+=k*U[P]*Math.max(this.lineTickLength[P],0)/r[5*P]);var H=[0,0,0];if(H[A]=1,this.tickEnable[A]){for(-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]=\"auto\"):this.tickAlign[A]=-1,E=1,\"auto\"===(S=[this.tickAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),C=[0,0,0],j(A,U,V),P=0;P<3;++P)q[P]+=k*U[P]*this.tickPad[P]/r[5*P];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],q,this.tickColor[A],H,C,S)}if(this.labelEnable[A]){for(E=0,C=[0,0,0],this.labels[A].length>4&&(N(A),E=1),\"auto\"===(S=[this.labelAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),P=0;P<3;++P)q[P]+=k*U[P]*this.labelPad[P]/r[5*P];q[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],q,this.labelColor[A],[0,0,0],C,S)}}this._text.unbind()},d.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},5304:function(t,e,r){\"use strict\";t.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var c=(l+1)%3,u=(l+2)%3,h=[0,0,0],f=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),h[l]=p,f[l]=p;for(var d=-1;d<=1;d+=2){h[c]=d;for(var m=-1;m<=1;m+=2)h[u]=m,e.push(h[0],h[1],h[2],f[0],f[1],f[2]),s+=1}var g=c;c=u,u=g}var y=n(t,new Float32Array(e)),v=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:y,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:y,type:t.FLOAT,size:3,offset:12,stride:24}],v),_=a(t);return _.attributes.position.location=0,_.attributes.normal.location=1,new o(t,y,x,_)};var n=r(2762),i=r(8116),a=r(1879).bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},6429:function(t,e,r){\"use strict\";t.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var v=0,x=0;x<2;++x){u[2]=a[x][2];for(var _=0;_<2;++_){u[1]=a[_][1];for(var b=0;b<2;++b)u[0]=a[b][0],f(l[v],u,s),v+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)c[x][k]=l[x][k]/T;p&&(c[x][2]*=-1),T<0&&(w<0||c[x][2]<c[w][2])&&(w=x)}if(w<0){w=0;for(var A=0;A<3;++A){for(var M=(A+2)%3,S=(A+1)%3,E=-1,C=-1,L=0;L<2;++L){var I=(z=L<<A)+(L<<M)+(1-L<<S),P=z+(1-L<<M)+(L<<S);o(c[z],c[I],c[P],h)<0||(L?E=1:C=1)}if(E<0||C<0)C>E&&(w|=1<<A);else{for(L=0;L<2;++L){I=(z=L<<A)+(L<<M)+(1-L<<S),P=z+(1-L<<M)+(L<<S);var z,O=d([l[z],l[I],l[P],l[z+(1<<M)+(1<<S)]]);L?E=O:C=O}C>E&&(w|=1<<A)}}}var D=7^w,R=-1;for(x=0;x<8;++x)x!==w&&x!==D&&(R<0||c[R][1]>c[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x)(N=R^1<<x)!==w&&N!==D&&(F<0&&(F=N),(S=c[N])[0]<c[F][0]&&(F=N));var B=-1;for(x=0;x<3;++x){var N;(N=R^1<<x)!==w&&N!==D&&N!==F&&(B<0&&(B=N),(S=c[N])[0]>c[B][0]&&(B=N))}var j=m;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===D?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=g,q=w;for(A=0;A<3;++A)V[A]=q&1<<A?-1:1;return y};var n=r(8828),i=r(6760),a=r(5202),o=r(3250),s=new Array(16),l=new Array(8),c=new Array(8),u=new Array(3),h=[0,0,0];function f(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var i=0;i<3;++i)t[n]+=e[i]*r[4*i+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],c[t]=[1,1,1]}();var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function d(t){for(var e=0;e<p.length;++e)if((t=a.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],i=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],c=s[0]/s[3]-n,u=s[1]/s[3]-i,h=l[0]/l[3]-n,f=l[1]/l[3]-i;o+=Math.abs(c*f-u*h)}return o}var m=[1,1,1],g=[0,0,0],y={cubeEdges:m,axis:g}},501:function(t,e,r){\"use strict\";t.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var h=0;h<3;++h){for(var f=o.length/3|0,d=0;d<r[h].length;++d){var m=+r[h][d].x;o.push(m,0,1,m,1,1,m,0,-1,m,0,-1,m,1,1,m,1,-1)}var g=o.length/3|0;s[h]=f,l[h]=g-f,f=o.length/3|0;for(var y=0;y<r[h].length;++y)m=+r[h][y].x,o.push(m,0,1,m,1,1,m,0,-1,m,0,-1,m,1,1,m,1,-1);g=o.length/3|0,c[h]=f,u[h]=g-f}var v=n(t,new Float32Array(o)),x=i(t,[{buffer:v,type:t.FLOAT,size:3,stride:0,offset:0}]),_=a(t);return _.attributes.position.location=0,new p(t,v,x,_,l,s,u,c)};var n=r(2762),i=r(8116),a=r(1879).n,o=[0,0,0],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[1,1];function h(t){return t[0]=t[1]=t[2]=0,t}function f(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,i,a,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=i,this.tickOffset=a,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,u[0]=this.gl.drawingBufferWidth,u[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=u,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,i){var a=h(s);this.shader.uniforms.majorAxis=s,a[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=a;var o,u=f(c,r);u[t]+=e[0][t],this.shader.uniforms.offset=u,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=n,(o=h(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=h(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,i){if(this.tickCount[t]){var a=h(o);a[t]=1,this.shader.uniforms.majorAxis=a,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=i;var s=h(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},d.drawGrid=function(t,e,r,n,i,a){if(this.gridCount[t]){var u=h(s);u[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=u;var p=f(c,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=h(o);d[t]=1,this.shader.uniforms.majorAxis=d;var m=h(l);m[t]=1,this.shader.uniforms.screenAxis=m,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,i,a){var o=h(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var u=f(c,n);u[t]+=r[0][t],this.shader.uniforms.offset=u;var p=h(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},1879:function(t,e,r){\"use strict\";var n=r(3236),i=r(9405),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\\nuniform float lineWidth;\\nuniform vec2 screenShape;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * (view * (model * vec4(p, 1.0)));\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nvoid main() {\\n  vec3 major = position.x * majorAxis;\\n  vec3 minor = position.y * minorAxis;\\n\\n  vec3 vPosition = major + minor + offset;\\n  vec3 pPosition = project(vPosition);\\n  vec3 offset = project(vPosition + screenAxis * position.z);\\n\\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\\n\\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);e.n=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"}])};var s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis, alignDir, alignOpt;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * (view * (model * vec4(p, 1.0)));\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nfloat computeViewAngle(vec3 a, vec3 b) {\\n  vec3 A = project(a);\\n  vec3 B = project(b);\\n\\n  return atan(\\n    (B.y - A.y) * resolution.y,\\n    (B.x - A.x) * resolution.x\\n  );\\n}\\n\\nconst float PI = 3.141592;\\nconst float TWO_PI = 2.0 * PI;\\nconst float HALF_PI = 0.5 * PI;\\nconst float ONE_AND_HALF_PI = 1.5 * PI;\\n\\nint option = int(floor(alignOpt.x + 0.001));\\nfloat hv_ratio =       alignOpt.y;\\nbool enableAlign =    (alignOpt.z != 0.0);\\n\\nfloat mod_angle(float a) {\\n  return mod(a, PI);\\n}\\n\\nfloat positive_angle(float a) {\\n  return mod_angle((a < 0.0) ?\\n    a + TWO_PI :\\n    a\\n  );\\n}\\n\\nfloat look_upwards(float a) {\\n  float b = positive_angle(a);\\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\\n    b - PI :\\n    b;\\n}\\n\\nfloat look_horizontal_or_vertical(float a, float ratio) {\\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\\n  // if ratio is set to 0.5 then it is 50%, 50%.\\n  // when using a higher ratio e.g. 0.75 the result would\\n  // likely be more horizontal than vertical.\\n\\n  float b = positive_angle(a);\\n\\n  return\\n    (b < (      ratio) * HALF_PI) ? 0.0 :\\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\\n                                    0.0;\\n}\\n\\nfloat roundTo(float a, float b) {\\n  return float(b * floor((a + 0.5 * b) / b));\\n}\\n\\nfloat look_round_n_directions(float a, int n) {\\n  float b = positive_angle(a);\\n  float div = TWO_PI / float(n);\\n  float c = roundTo(b, div);\\n  return look_upwards(c);\\n}\\n\\nfloat applyAlignOption(float rawAngle, float delta) {\\n  return\\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\\n                    rawAngle;                // otherwise return back raw input angle\\n}\\n\\nbool isAxisTitle = (axis.x == 0.0) &&\\n                   (axis.y == 0.0) &&\\n                   (axis.z == 0.0);\\n\\nvoid main() {\\n  //Compute world offset\\n  float axisDistance = position.z;\\n  vec3 dataPosition = axisDistance * axis + offset;\\n\\n  float beta = angle; // i.e. user defined attributes for each tick\\n\\n  float axisAngle;\\n  float clipAngle;\\n  float flip;\\n\\n  if (enableAlign) {\\n    axisAngle = (isAxisTitle) ? HALF_PI :\\n                      computeViewAngle(dataPosition, dataPosition + axis);\\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\\n\\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\\n\\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\\n\\n    beta += applyAlignOption(clipAngle, flip * PI);\\n  }\\n\\n  //Compute plane offset\\n  vec2 planeCoord = position.xy * pixelScale;\\n\\n  mat2 planeXform = scale * mat2(\\n     cos(beta), sin(beta),\\n    -sin(beta), cos(beta)\\n  );\\n\\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n  //Compute clip position\\n  vec3 clipPosition = project(dataPosition);\\n\\n  //Apply text offset in clip coordinates\\n  clipPosition += vec3(viewOffset, 0.0);\\n\\n  //Done\\n  gl_Position = vec4(clipPosition, 1.0);\\n}\\n\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);e.Q=function(t){return i(t,s,l,null,[{name:\"position\",type:\"vec3\"}])};var c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 enable;\\nuniform vec3 bounds[2];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n\\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\\n\\n  vec3 realNormal = signAxis * normal;\\n\\n  if(dot(realNormal, enable) > 0.0) {\\n    vec3 minRange = min(bounds[0], bounds[1]);\\n    vec3 maxRange = max(bounds[0], bounds[1]);\\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\\n    gl_Position = projection * (view * (model * vec4(nPosition, 1.0)));\\n  } else {\\n    gl_Position = vec4(0,0,0,0);\\n  }\\n\\n  colorChannel = abs(realNormal);\\n}\\n\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 colors[3];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n  gl_FragColor = colorChannel.x * colors[0] +\\n                 colorChannel.y * colors[1] +\\n                 colorChannel.z * colors[2];\\n}\"]);e.bg=function(t){return i(t,c,u,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},4935:function(t,e,r){\"use strict\";t.exports=function(t,e,r,i,o,l){var c=n(t),h=a(t,[{buffer:c,size:3}]),f=s(t);f.attributes.position.location=0;var p=new u(t,f,c,h);return p.update(e,r,i,o,l),p};var n=r(2762),a=r(8116),o=r(4359),s=r(1879).Q,l=window||i.global||{},c=l.__TEXT_CACHE||{};function u(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}l.__TEXT_CACHE={};var h=u.prototype,f=[0,0];h.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,f[0]=this.gl.drawingBufferWidth,f[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=f},h.unbind=function(){this.vao.unbind()},h.update=function(t,e,r,n,i){var a=[];function s(t,e,r,n,i,s){var l=[r.style,r.weight,r.variant,r.family].join(\"_\"),u=c[l];u||(u=c[l]={});var h=u[e];h||(h=u[e]=function(t,e){try{return o(t,e)}catch(e){return console.warn('error vectorizing text:\"'+t+'\" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r.family,fontStyle:r.style,fontWeight:r.weight,fontVariant:r.variant,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:i,styletags:s}));for(var f=(n||12)/12,p=h.positions,d=h.cells,m=0,g=d.length;m<g;++m)for(var y=d[m],v=2;v>=0;--v){var x=p[y[v]];a.push(f*x[0],-f*x[1],t)}}for(var l=[0,0,0],u=[0,0,0],h=[0,0,0],f=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){h[d]=a.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),f[d]=(a.length/3|0)-h[d],l[d]=a.length/3|0;for(var m=0;m<n[d].length;++m)if(n[d][m].text){var g={family:n[d][m].font||i[d].family,style:i[d].fontStyle||i[d].style,weight:i[d].fontWeight||i[d].weight,variant:i[d].fontVariant||i[d].variant};s(n[d][m].x,n[d][m].text,g,n[d][m].fontSize||12,1.25,p)}u[d]=(a.length/3|0)-l[d]}this.buffer.update(a),this.tickOffset=l,this.tickCount=u,this.labelOffset=h,this.labelCount=f},h.drawTicks=function(t,e,r,n,i,a,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},h.drawLabel=function(t,e,r,n,i,a,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},h.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}},6444:function(t,e){\"use strict\";function r(t,e){var r=t+\"\",n=r.indexOf(\".\"),i=0;n>=0&&(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*a),s=o+\"\";if(s.indexOf(\"e\")>=0)return s;var l=o/a,c=o%a;o<0?(l=0|-Math.ceil(l),c=0|-c):(l=0|Math.floor(l),c|=0);var u=\"\"+l;if(o<0&&(u=\"-\"+u),i){for(var h=\"\"+c;h.length<i;)h=\"0\"+h;return u+\".\"+h}return u}e.create=function(t,e){for(var n=[],i=0;i<3;++i){for(var a=[],o=(t[0][i],t[1][i],0);o*e[i]<=t[1][i];++o)a.push({x:o*e[i],text:r(e[i],o)});for(o=-1;o*e[i]>=t[0][i];--o)a.push({x:o*e[i],text:r(e[i],o)});n.push(a)}return n},e.equal=function(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;++n){var i=t[r][n],a=e[r][n];if(i.x!==a.x||i.text!==a.text||i.font!==a.font||i.fontColor!==a.fontColor||i.fontSize!==a.fontSize||i.dx!==a.dx||i.dy!==a.dy)return!1}}return!0}},5445:function(t,e,r){\"use strict\";t.exports=function(t,e,r,l,h){var f=e.model||c,p=e.view||c,y=e.projection||c,v=e._ortho||!1,x=t.bounds,_=(h=h||a(f,p,y,x,v)).axis;o(u,p,f),o(u,y,u);for(var b=m,w=0;w<3;++w)b[w].lo=1/0,b[w].hi=-1/0,b[w].pixelsPerDataUnit=1/0;var T=n(s(u,u));s(u,u);for(var k=0;k<3;++k){var A=(k+1)%3,M=(k+2)%3,S=g;t:for(w=0;w<2;++w){var E=[];if(_[k]<0!=!!w){S[k]=x[w][k];for(var C=0;C<2;++C){S[A]=x[C^w][A];for(var L=0;L<2;++L)S[M]=x[L^C^w][M],E.push(S.slice())}var I=v?5:4;for(C=I;C===I;++C){if(0===E.length)continue t;E=i.positive(E,T[C])}for(C=0;C<E.length;++C){M=E[C];var P=d(g,u,M,r,l);for(L=0;L<3;++L)b[L].lo=Math.min(b[L].lo,M[L]),b[L].hi=Math.max(b[L].hi,M[L]),L!==k&&(b[L].pixelsPerDataUnit=Math.min(b[L].pixelsPerDataUnit,Math.abs(P[L])))}}}}return b};var n=r(5033),i=r(5202),a=r(6429),o=r(6760),s=r(5665),l=r(5352),c=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),u=new Float32Array(16);function h(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var f=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,i){for(var a=0;a<3;++a){for(var o=f,s=p,c=0;c<3;++c)s[c]=o[c]=r[c];s[3]=o[3]=1,s[a]+=1,l(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,l(o,o,e),o[3]<0&&(t[a]=1/0);var u=(o[0]/o[3]-s[0]/s[3])*n,h=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(u*u+h*h)}return t}var m=[new h(1/0,-1/0,1/0),new h(1/0,-1/0,1/0),new h(1/0,-1/0,1/0)],g=[0,0,0]},2762:function(t,e,r){\"use strict\";var n=r(1888),i=r(5298),a=r(9618),o=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"];function s(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}var l=s.prototype;function c(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a<0)return t.bufferData(e,i,n),o;if(o+a>r)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,a,i),r}function u(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a<i;++a)r[a]=t[a];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if(\"number\"!=typeof e&&(e=-1),this.bind(),\"object\"==typeof t&&void 0!==t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r=\"float32\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER&&(r=gl.getExtension(\"OES_element_index_uint\")&&\"uint16\"!==r?\"uint32\":\"uint16\"),r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=c(this.gl,this.type,this.length,this.usage,t.data,e):this.length=c(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=c(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var h;h=this.type===this.gl.ELEMENT_ARRAY_BUFFER?u(t,\"uint16\"):u(t,\"float32\"),this.length=c(this.gl,this.type,this.length,this.usage,e<0?h:h.subarray(0,t.length),e),n.free(h)}else if(\"object\"==typeof t&&\"number\"==typeof t.length)this.length=c(this.gl,this.type,this.length,this.usage,t,e);else{if(\"number\"!=typeof t&&void 0!==t)throw new Error(\"gl-buffer: Invalid data type\");if(e>=0)throw new Error(\"gl-buffer: Cannot specify offset when resizing buffer\");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},t.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error(\"gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER\");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error(\"gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW\");var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},6405:function(t,e,r){\"use strict\";var n=r(2931);t.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,c=1/0,u=-1/0,h=1/0,f=-1/0,p=null,d=null,m=[],g=1/0,y=!1,v=\"raw\"===t.coneSizemode,x=0;x<r.length;x++){var _=r[x];s=Math.min(_[0],s),l=Math.max(_[0],l),c=Math.min(_[1],c),u=Math.max(_[1],u),h=Math.min(_[2],h),f=Math.max(_[2],f);var b=i[x];if(n.length(b)>o&&(o=n.length(b)),x&&!v){var w=2*n.distance(p,_)/(n.length(d)+n.length(b));w?(g=Math.min(g,w),y=!1):y=!0}y||(p=_,d=b),m.push(b)}var T=[s,c,h],k=[l,u,f];e&&(e[0]=T,e[1]=k),0===o&&(o=1);var A=1/o;isFinite(g)||(g=1),a.vectorScale=g;var M=t.coneSize||(v?1:.5);t.absoluteConeSize&&(M=t.absoluteConeSize*A),a.coneScale=M,x=0;for(var S=0;x<r.length;x++)for(var E=(_=r[x])[0],C=_[1],L=_[2],I=m[x],P=n.length(I)*A,z=0;z<8;z++){a.positions.push([E,C,L,S++]),a.positions.push([E,C,L,S++]),a.positions.push([E,C,L,S++]),a.positions.push([E,C,L,S++]),a.positions.push([E,C,L,S++]),a.positions.push([E,C,L,S++]),a.vectors.push(I),a.vectors.push(I),a.vectors.push(I),a.vectors.push(I),a.vectors.push(I),a.vectors.push(I),a.vertexIntensity.push(P,P,P),a.vertexIntensity.push(P,P,P);var O=a.positions.length;a.cells.push([O-6,O-5,O-4],[O-3,O-2,O-1])}return a};var i=r(614);t.exports.createMesh=r(9060),t.exports.createConeMesh=function(e,r){return t.exports.createMesh(e,r,{shaders:i,traceType:\"cone\"})}},9060:function(t,e,r){\"use strict\";var n=r(9405),i=r(2762),a=r(8116),o=r(7766),s=r(6760),l=r(7608),c=r(9618),u=r(6729),h=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function f(t,e,r,n,i,a,o,s,l,c,u){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=i,this.triangleVectors=a,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=c,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=u,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=h,this._view=h,this._projection=h,this._resolution=[1,1]}var p=f.prototype;p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),\"opacity\"in t&&(this.opacity=t.opacity),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=u({colormap:t,nshades:256,format:\"rgba\"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return c(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],h=[];this.cells=r,this.positions=n,this.vectors=i;var f=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,m=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],m=+t.vertexIntensityBounds[1];else for(var g=0;g<p.length;++g){var y=p[g];d=Math.min(d,y),m=Math.max(m,y)}else for(g=0;g<n.length;++g)y=n[g][2],d=Math.min(d,y),m=Math.max(m,y);for(this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],g=0;g<n.length;++g)for(var v=n[g],x=0;x<3;++x)!isNaN(v[x])&&isFinite(v[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],v[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],v[x]));var _=0;t:for(g=0;g<r.length;++g){var b=r[g];if(3===b.length){for(x=0;x<3;++x){v=n[T=b[x]];for(var w=0;w<3;++w)if(isNaN(v[w])||!isFinite(v[w]))continue t}for(x=0;x<3;++x){var T;v=n[T=b[2-x]],a.push(v[0],v[1],v[2],v[3]);var k=i[T];o.push(k[0],k[1],k[2],k[3]||0);var A,M=f;3===M.length?s.push(M[0],M[1],M[2],1):s.push(M[0],M[1],M[2],M[3]),A=p?[(p[T]-d)/(m-d),0]:[(v[2]-d)/(m-d),0],l.push(A[0],A[1]),h.push(g)}_+=1}}this.triangleCount=_,this.trianglePositions.update(a),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(h))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||h,n=t.view||h,i=t.projection||h,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var c={model:r,view:n,projection:i,inverseModel:h.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};c.inverseModel=l(c.inverseModel,c.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);for(s(u,c.view,c.model),s(u,c.projection,u),l(u,u),o=0;o<3;++o)c.eyePosition[o]=u[12+o]/u[15];var f=u[15];for(o=0;o<3;++o)f+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];c.lightPosition[o]=p/f}if(this.triangleCount>0){var m=this.triShader;m.bind(),m.uniforms=c,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||h,n=t.view||h,i=t.projection||h,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return\"cone\"===this.traceType?i.index=Math.floor(r[1]/48):\"streamtube\"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},t.exports=function(t,e,r){var s=r.shaders;1===arguments.length&&(t=(e=t).gl);var l=function(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}(t,s),u=function(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}(t,s),h=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));h.generateMipmap(),h.minFilter=t.LINEAR_MIPMAP_LINEAR,h.magFilter=t.LINEAR;var p=i(t),d=i(t),m=i(t),g=i(t),y=i(t),v=new f(t,h,l,u,p,d,y,m,g,a(t,[{buffer:p,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:m,type:t.FLOAT,size:4},{buffer:g,type:t.FLOAT,size:2},{buffer:d,type:t.FLOAT,size:4}]),r.traceType||\"cone\");return v.update(e),v}},614:function(t,e,r){var n=r(3236),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec3 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, coneScale, coneOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * conePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\\n  vec4 t_position  = view * conePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = conePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float vectorScale, coneScale, coneOffset;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n  gl_Position = projection * (view * conePosition);\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec3\"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec3\"}]}},737:function(t){t.exports={0:\"NONE\",1:\"ONE\",2:\"LINE_LOOP\",3:\"LINE_STRIP\",4:\"TRIANGLES\",5:\"TRIANGLE_STRIP\",6:\"TRIANGLE_FAN\",256:\"DEPTH_BUFFER_BIT\",512:\"NEVER\",513:\"LESS\",514:\"EQUAL\",515:\"LEQUAL\",516:\"GREATER\",517:\"NOTEQUAL\",518:\"GEQUAL\",519:\"ALWAYS\",768:\"SRC_COLOR\",769:\"ONE_MINUS_SRC_COLOR\",770:\"SRC_ALPHA\",771:\"ONE_MINUS_SRC_ALPHA\",772:\"DST_ALPHA\",773:\"ONE_MINUS_DST_ALPHA\",774:\"DST_COLOR\",775:\"ONE_MINUS_DST_COLOR\",776:\"SRC_ALPHA_SATURATE\",1024:\"STENCIL_BUFFER_BIT\",1028:\"FRONT\",1029:\"BACK\",1032:\"FRONT_AND_BACK\",1280:\"INVALID_ENUM\",1281:\"INVALID_VALUE\",1282:\"INVALID_OPERATION\",1285:\"OUT_OF_MEMORY\",1286:\"INVALID_FRAMEBUFFER_OPERATION\",2304:\"CW\",2305:\"CCW\",2849:\"LINE_WIDTH\",2884:\"CULL_FACE\",2885:\"CULL_FACE_MODE\",2886:\"FRONT_FACE\",2928:\"DEPTH_RANGE\",2929:\"DEPTH_TEST\",2930:\"DEPTH_WRITEMASK\",2931:\"DEPTH_CLEAR_VALUE\",2932:\"DEPTH_FUNC\",2960:\"STENCIL_TEST\",2961:\"STENCIL_CLEAR_VALUE\",2962:\"STENCIL_FUNC\",2963:\"STENCIL_VALUE_MASK\",2964:\"STENCIL_FAIL\",2965:\"STENCIL_PASS_DEPTH_FAIL\",2966:\"STENCIL_PASS_DEPTH_PASS\",2967:\"STENCIL_REF\",2968:\"STENCIL_WRITEMASK\",2978:\"VIEWPORT\",3024:\"DITHER\",3042:\"BLEND\",3088:\"SCISSOR_BOX\",3089:\"SCISSOR_TEST\",3106:\"COLOR_CLEAR_VALUE\",3107:\"COLOR_WRITEMASK\",3317:\"UNPACK_ALIGNMENT\",3333:\"PACK_ALIGNMENT\",3379:\"MAX_TEXTURE_SIZE\",3386:\"MAX_VIEWPORT_DIMS\",3408:\"SUBPIXEL_BITS\",3410:\"RED_BITS\",3411:\"GREEN_BITS\",3412:\"BLUE_BITS\",3413:\"ALPHA_BITS\",3414:\"DEPTH_BITS\",3415:\"STENCIL_BITS\",3553:\"TEXTURE_2D\",4352:\"DONT_CARE\",4353:\"FASTEST\",4354:\"NICEST\",5120:\"BYTE\",5121:\"UNSIGNED_BYTE\",5122:\"SHORT\",5123:\"UNSIGNED_SHORT\",5124:\"INT\",5125:\"UNSIGNED_INT\",5126:\"FLOAT\",5386:\"INVERT\",5890:\"TEXTURE\",6401:\"STENCIL_INDEX\",6402:\"DEPTH_COMPONENT\",6406:\"ALPHA\",6407:\"RGB\",6408:\"RGBA\",6409:\"LUMINANCE\",6410:\"LUMINANCE_ALPHA\",7680:\"KEEP\",7681:\"REPLACE\",7682:\"INCR\",7683:\"DECR\",7936:\"VENDOR\",7937:\"RENDERER\",7938:\"VERSION\",9728:\"NEAREST\",9729:\"LINEAR\",9984:\"NEAREST_MIPMAP_NEAREST\",9985:\"LINEAR_MIPMAP_NEAREST\",9986:\"NEAREST_MIPMAP_LINEAR\",9987:\"LINEAR_MIPMAP_LINEAR\",10240:\"TEXTURE_MAG_FILTER\",10241:\"TEXTURE_MIN_FILTER\",10242:\"TEXTURE_WRAP_S\",10243:\"TEXTURE_WRAP_T\",10497:\"REPEAT\",10752:\"POLYGON_OFFSET_UNITS\",16384:\"COLOR_BUFFER_BIT\",32769:\"CONSTANT_COLOR\",32770:\"ONE_MINUS_CONSTANT_COLOR\",32771:\"CONSTANT_ALPHA\",32772:\"ONE_MINUS_CONSTANT_ALPHA\",32773:\"BLEND_COLOR\",32774:\"FUNC_ADD\",32777:\"BLEND_EQUATION_RGB\",32778:\"FUNC_SUBTRACT\",32779:\"FUNC_REVERSE_SUBTRACT\",32819:\"UNSIGNED_SHORT_4_4_4_4\",32820:\"UNSIGNED_SHORT_5_5_5_1\",32823:\"POLYGON_OFFSET_FILL\",32824:\"POLYGON_OFFSET_FACTOR\",32854:\"RGBA4\",32855:\"RGB5_A1\",32873:\"TEXTURE_BINDING_2D\",32926:\"SAMPLE_ALPHA_TO_COVERAGE\",32928:\"SAMPLE_COVERAGE\",32936:\"SAMPLE_BUFFERS\",32937:\"SAMPLES\",32938:\"SAMPLE_COVERAGE_VALUE\",32939:\"SAMPLE_COVERAGE_INVERT\",32968:\"BLEND_DST_RGB\",32969:\"BLEND_SRC_RGB\",32970:\"BLEND_DST_ALPHA\",32971:\"BLEND_SRC_ALPHA\",33071:\"CLAMP_TO_EDGE\",33170:\"GENERATE_MIPMAP_HINT\",33189:\"DEPTH_COMPONENT16\",33306:\"DEPTH_STENCIL_ATTACHMENT\",33635:\"UNSIGNED_SHORT_5_6_5\",33648:\"MIRRORED_REPEAT\",33901:\"ALIASED_POINT_SIZE_RANGE\",33902:\"ALIASED_LINE_WIDTH_RANGE\",33984:\"TEXTURE0\",33985:\"TEXTURE1\",33986:\"TEXTURE2\",33987:\"TEXTURE3\",33988:\"TEXTURE4\",33989:\"TEXTURE5\",33990:\"TEXTURE6\",33991:\"TEXTURE7\",33992:\"TEXTURE8\",33993:\"TEXTURE9\",33994:\"TEXTURE10\",33995:\"TEXTURE11\",33996:\"TEXTURE12\",33997:\"TEXTURE13\",33998:\"TEXTURE14\",33999:\"TEXTURE15\",34e3:\"TEXTURE16\",34001:\"TEXTURE17\",34002:\"TEXTURE18\",34003:\"TEXTURE19\",34004:\"TEXTURE20\",34005:\"TEXTURE21\",34006:\"TEXTURE22\",34007:\"TEXTURE23\",34008:\"TEXTURE24\",34009:\"TEXTURE25\",34010:\"TEXTURE26\",34011:\"TEXTURE27\",34012:\"TEXTURE28\",34013:\"TEXTURE29\",34014:\"TEXTURE30\",34015:\"TEXTURE31\",34016:\"ACTIVE_TEXTURE\",34024:\"MAX_RENDERBUFFER_SIZE\",34041:\"DEPTH_STENCIL\",34055:\"INCR_WRAP\",34056:\"DECR_WRAP\",34067:\"TEXTURE_CUBE_MAP\",34068:\"TEXTURE_BINDING_CUBE_MAP\",34069:\"TEXTURE_CUBE_MAP_POSITIVE_X\",34070:\"TEXTURE_CUBE_MAP_NEGATIVE_X\",34071:\"TEXTURE_CUBE_MAP_POSITIVE_Y\",34072:\"TEXTURE_CUBE_MAP_NEGATIVE_Y\",34073:\"TEXTURE_CUBE_MAP_POSITIVE_Z\",34074:\"TEXTURE_CUBE_MAP_NEGATIVE_Z\",34076:\"MAX_CUBE_MAP_TEXTURE_SIZE\",34338:\"VERTEX_ATTRIB_ARRAY_ENABLED\",34339:\"VERTEX_ATTRIB_ARRAY_SIZE\",34340:\"VERTEX_ATTRIB_ARRAY_STRIDE\",34341:\"VERTEX_ATTRIB_ARRAY_TYPE\",34342:\"CURRENT_VERTEX_ATTRIB\",34373:\"VERTEX_ATTRIB_ARRAY_POINTER\",34466:\"NUM_COMPRESSED_TEXTURE_FORMATS\",34467:\"COMPRESSED_TEXTURE_FORMATS\",34660:\"BUFFER_SIZE\",34661:\"BUFFER_USAGE\",34816:\"STENCIL_BACK_FUNC\",34817:\"STENCIL_BACK_FAIL\",34818:\"STENCIL_BACK_PASS_DEPTH_FAIL\",34819:\"STENCIL_BACK_PASS_DEPTH_PASS\",34877:\"BLEND_EQUATION_ALPHA\",34921:\"MAX_VERTEX_ATTRIBS\",34922:\"VERTEX_ATTRIB_ARRAY_NORMALIZED\",34930:\"MAX_TEXTURE_IMAGE_UNITS\",34962:\"ARRAY_BUFFER\",34963:\"ELEMENT_ARRAY_BUFFER\",34964:\"ARRAY_BUFFER_BINDING\",34965:\"ELEMENT_ARRAY_BUFFER_BINDING\",34975:\"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING\",35040:\"STREAM_DRAW\",35044:\"STATIC_DRAW\",35048:\"DYNAMIC_DRAW\",35632:\"FRAGMENT_SHADER\",35633:\"VERTEX_SHADER\",35660:\"MAX_VERTEX_TEXTURE_IMAGE_UNITS\",35661:\"MAX_COMBINED_TEXTURE_IMAGE_UNITS\",35663:\"SHADER_TYPE\",35664:\"FLOAT_VEC2\",35665:\"FLOAT_VEC3\",35666:\"FLOAT_VEC4\",35667:\"INT_VEC2\",35668:\"INT_VEC3\",35669:\"INT_VEC4\",35670:\"BOOL\",35671:\"BOOL_VEC2\",35672:\"BOOL_VEC3\",35673:\"BOOL_VEC4\",35674:\"FLOAT_MAT2\",35675:\"FLOAT_MAT3\",35676:\"FLOAT_MAT4\",35678:\"SAMPLER_2D\",35680:\"SAMPLER_CUBE\",35712:\"DELETE_STATUS\",35713:\"COMPILE_STATUS\",35714:\"LINK_STATUS\",35715:\"VALIDATE_STATUS\",35716:\"INFO_LOG_LENGTH\",35717:\"ATTACHED_SHADERS\",35718:\"ACTIVE_UNIFORMS\",35719:\"ACTIVE_UNIFORM_MAX_LENGTH\",35720:\"SHADER_SOURCE_LENGTH\",35721:\"ACTIVE_ATTRIBUTES\",35722:\"ACTIVE_ATTRIBUTE_MAX_LENGTH\",35724:\"SHADING_LANGUAGE_VERSION\",35725:\"CURRENT_PROGRAM\",36003:\"STENCIL_BACK_REF\",36004:\"STENCIL_BACK_VALUE_MASK\",36005:\"STENCIL_BACK_WRITEMASK\",36006:\"FRAMEBUFFER_BINDING\",36007:\"RENDERBUFFER_BINDING\",36048:\"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE\",36049:\"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME\",36050:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL\",36051:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE\",36053:\"FRAMEBUFFER_COMPLETE\",36054:\"FRAMEBUFFER_INCOMPLETE_ATTACHMENT\",36055:\"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT\",36057:\"FRAMEBUFFER_INCOMPLETE_DIMENSIONS\",36061:\"FRAMEBUFFER_UNSUPPORTED\",36064:\"COLOR_ATTACHMENT0\",36096:\"DEPTH_ATTACHMENT\",36128:\"STENCIL_ATTACHMENT\",36160:\"FRAMEBUFFER\",36161:\"RENDERBUFFER\",36162:\"RENDERBUFFER_WIDTH\",36163:\"RENDERBUFFER_HEIGHT\",36164:\"RENDERBUFFER_INTERNAL_FORMAT\",36168:\"STENCIL_INDEX8\",36176:\"RENDERBUFFER_RED_SIZE\",36177:\"RENDERBUFFER_GREEN_SIZE\",36178:\"RENDERBUFFER_BLUE_SIZE\",36179:\"RENDERBUFFER_ALPHA_SIZE\",36180:\"RENDERBUFFER_DEPTH_SIZE\",36181:\"RENDERBUFFER_STENCIL_SIZE\",36194:\"RGB565\",36336:\"LOW_FLOAT\",36337:\"MEDIUM_FLOAT\",36338:\"HIGH_FLOAT\",36339:\"LOW_INT\",36340:\"MEDIUM_INT\",36341:\"HIGH_INT\",36346:\"SHADER_COMPILER\",36347:\"MAX_VERTEX_UNIFORM_VECTORS\",36348:\"MAX_VARYING_VECTORS\",36349:\"MAX_FRAGMENT_UNIFORM_VECTORS\",37440:\"UNPACK_FLIP_Y_WEBGL\",37441:\"UNPACK_PREMULTIPLY_ALPHA_WEBGL\",37442:\"CONTEXT_LOST_WEBGL\",37443:\"UNPACK_COLORSPACE_CONVERSION_WEBGL\",37444:\"BROWSER_DEFAULT_WEBGL\"}},5171:function(t,e,r){var 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worldPosition  = model * vec4(position, 1.0);\\n  worldPosition       = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\\n  gl_Position         = projection * (view * worldPosition);\\n  fragColor           = color;\\n  fragPosition        = position;\\n}\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float opacity;\\nvarying vec3 fragPosition;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  gl_FragColor = opacity * fragColor;\\n}\"]);t.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"offset\",type:\"vec3\"}])}},2260:function(t,e,r){\"use strict\";var n=r(7766);t.exports=function(t,e,r,n){i||(i=t.FRAMEBUFFER_UNSUPPORTED,a=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var c=t.getExtension(\"WEBGL_draw_buffers\");if(!l&&c&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var i=new Array(r),a=0;a<n;++a)i[a]=t.COLOR_ATTACHMENT0+a;for(a=n;a<r;++a)i[a]=t.NONE;l[n]=i}}(t,c),Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]),\"number\"!=typeof e)throw new Error(\"gl-fbo: Missing shape parameter\");var u=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>u||r<0||r>u)throw new 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u(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function h(t){switch(t){case i:throw new Error(\"gl-fbo: Framebuffer unsupported\");case a:throw new Error(\"gl-fbo: Framebuffer incomplete attachment\");case o:throw new Error(\"gl-fbo: Framebuffer incomplete dimensions\");case s:throw new Error(\"gl-fbo: Framebuffer incomplete missing attachment\");default:throw new Error(\"gl-fbo: Framebuffer failed for unspecified reason\")}}function f(t,e,r,i,a,o){if(!i)return null;var s=n(t,e,r,a,i);return s.magFilter=t.NEAREST,s.minFilter=t.NEAREST,s.mipSamples=1,s.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,o,t.TEXTURE_2D,s.handle,0),s}function p(t,e,r,n,i){var a=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function d(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var d=0;d<i;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var m=this,g=[0|e,0|r];Object.defineProperties(g,{0:{get:function(){return m._shape[0]},set:function(t){return m.width=t}},1:{get:function(){return m._shape[1]},set:function(t){return m.height=t}}}),this._shapeVector=g,function(t){var e=c(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),i=t._shape[0],a=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,m=t._useDepth,g=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var y=0;y<o;++y)t.color[y]=f(r,i,a,g,r.RGBA,r.COLOR_ATTACHMENT0+y);0===o?(t._color_rb=p(r,i,a,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var v=r.getExtension(\"WEBGL_depth_texture\");v?d?t.depth=f(r,i,a,v.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):m&&(t.depth=f(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):m&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):m?t._depth_rb=p(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){for(t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null),y=0;y<t.color.length;++y)t.color[y].dispose(),t.color[y]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),u(r,e),h(x)}u(r,e)}(this)}var m=d.prototype;function g(t,e,r){if(t._destroyed)throw new Error(\"gl-fbo: Can't resize destroyed FBO\");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,i=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var a=c(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),u(n,a),h(s)),u(n,a)}}Object.defineProperties(m,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error(\"gl-fbo: Shape vector must be length 2\");var e=0|t[0],r=0|t[1];return g(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return g(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,g(this,this._shape[0],t),t},enumerable:!1}}),m.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},m.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},2992:function(t,e,r){var n=r(3387).sprintf,i=r(5171),a=r(1848),o=r(1085);t.exports=function(t,e,r){\"use strict\";var s=a(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==r&&(l=r===i.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var c=n(\"Error compiling %s shader %s:\\n\",l,s),u=n(\"%s%s\",c,t),h=t.split(\"\\n\"),f={},p=0;p<h.length;p++){var d=h[p];if(\"\"!==d&&\"\\0\"!==d){var m=parseInt(d.split(\":\")[2]);if(isNaN(m))throw new Error(n(\"Could not parse error: %s\",d));f[m]=d}}var g=o(e).split(\"\\n\");for(p=0;p<g.length;p++)if((f[p+3]||f[p+2]||f[p+1])&&(c+=g[p]+\"\\n\",f[p+1])){var y=f[p+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),c+=n(\"^^^ %s\\n\\n\",y)}return{long:c.trim(),short:u.trim()}}},2510:function(t,e,r){\"use strict\";t.exports=function(t,e){var r=t.gl,n=new c(t,o(r,l.vertex,l.fragment),o(r,l.pickVertex,l.pickFragment),s(r),s(r),s(r),s(r));return n.update(e),t.addObject(n),n};var n=r(2478),i=r(7762),a=r(1888),o=r(9405),s=r(2762),l=r(6768);function c(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var u,h=c.prototype,f=[0,0,1,0,0,1,1,0,1,1,0,1];h.draw=(u=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var i=t.gl,a=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=a[2]-a[0],c=a[3]-a[1];u[0]=2*o/l,u[4]=2*s/c,u[6]=2*(r[0]-a[0])/l-1,u[7]=2*(r[1]-a[1])/c-1,e.bind();var h=e.uniforms;h.viewTransform=u,h.shape=this.shape;var f=e.attributes;this.positionBuffer.bind(),f.position.pointer(),this.weightBuffer.bind(),f.weight.pointer(i.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),f.color.pointer(i.UNSIGNED_BYTE,!0),i.drawArrays(i.TRIANGLES,0,n)}}),h.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,c=a[2]-a[0],u=a[3]-a[1],h=l[2]-l[0],f=l[3]-l[1];t[0]=2*c/h,t[4]=2*u/f,t[6]=2*(a[0]-l[0])/h-1,t[7]=2*(a[1]-l[1])/f-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var m=i.attributes;return this.positionBuffer.bind(),m.position.pointer(),this.weightBuffer.bind(),m.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),m.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),h.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r<n||r>=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},h.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var c,u,h,p,d=t.colorLevels||[0],m=t.colorValues||[0,0,0,1],g=d.length,y=this.bounds;l?(c=y[0]=r[0],u=y[1]=o[0],h=y[2]=r[r.length-1],p=y[3]=o[o.length-1]):(c=y[0]=r[0]+(r[1]-r[0])/2,u=y[1]=o[0]+(o[1]-o[0])/2,h=y[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=y[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var v=1/(h-c),x=1/(p-u),_=e[0],b=e[1];this.shape=[_,b];var w=(l?(_-1)*(b-1):_*b)*(f.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),A=a.mallocUint8(2*w),M=a.mallocUint32(w),S=0,E=l?_-1:_,C=l?b-1:b,L=0;L<C;++L){var I,P;l?(I=x*(o[L]-u),P=x*(o[L+1]-u)):(I=L<b-1?x*(o[L]-(o[L+1]-o[L])/2-u):x*(o[L]-(o[L]-o[L-1])/2-u),P=L<b-1?x*(o[L]+(o[L+1]-o[L])/2-u):x*(o[L]+(o[L]-o[L-1])/2-u));for(var z=0;z<E;++z){var O,D;l?(O=v*(r[z]-c),D=v*(r[z+1]-c)):(O=z<_-1?v*(r[z]-(r[z+1]-r[z])/2-c):v*(r[z]-(r[z]-r[z-1])/2-c),D=z<_-1?v*(r[z]+(r[z+1]-r[z])/2-c):v*(r[z]+(r[z]-r[z-1])/2-c));for(var R=0;R<f.length;R+=2){var F,B,N,j,U=f[R],V=f[R+1],q=s[l?(L+V)*_+(z+U):L*_+z],H=n.le(d,q);if(H<0)F=m[0],B=m[1],N=m[2],j=m[3];else if(H===g-1)F=m[4*g-4],B=m[4*g-3],N=m[4*g-2],j=m[4*g-1];else{var G=(q-d[H])/(d[H+1]-d[H]),Z=1-G,W=4*H,Y=4*(H+1);F=Z*m[W]+G*m[Y],B=Z*m[W+1]+G*m[Y+1],N=Z*m[W+2]+G*m[Y+2],j=Z*m[W+3]+G*m[Y+3]}T[4*S]=255*F,T[4*S+1]=255*B,T[4*S+2]=255*N,T[4*S+3]=255*j,k[2*S]=.5*O+.5*D,k[2*S+1]=.5*I+.5*P,A[2*S]=U,A[2*S+1]=V,M[S]=L*_+z,S+=1}}}this.positionBuffer.update(k),this.weightBuffer.update(A),this.colorBuffer.update(T),this.idBuffer.update(M),a.free(k),a.free(T),a.free(A),a.free(M)},h.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},6768:function(t,e,r){\"use strict\";var n=r(3236);t.exports={fragment:n([\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\\n}\\n\"]),vertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 color;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  fragColor = color;\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"]),pickFragment:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nuniform vec2 shape;\\nuniform vec4 pickOffset;\\n\\nvoid main() {\\n  vec2 d = step(.5, vWeight);\\n  vec4 id = fragId + pickOffset;\\n  id.x += d.x + d.y*shape.x;\\n\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  gl_FragColor = id/255.;\\n}\\n\"]),pickVertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nvoid main() {\\n  vWeight = weight;\\n\\n  fragId = pickId;\\n\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"])}},7319:function(t,e,r){var n=r(3236),i=r(9405),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, nextPosition;\\nattribute float arcLength, lineWidth;\\nattribute vec4 color;\\n\\nuniform vec2 screenShape;\\nuniform float pixelRatio;\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 fragColor;\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\n\\nvec4 project(vec3 p) {\\n  return projection * (view * (model * vec4(p, 1.0)));\\n}\\n\\nvoid main() {\\n  vec4 startPoint = project(position);\\n  vec4 endPoint   = project(nextPosition);\\n\\n  vec2 A = startPoint.xy / startPoint.w;\\n  vec2 B =   endPoint.xy /   endPoint.w;\\n\\n  float clipAngle = atan(\\n    (B.y - A.y) * screenShape.y,\\n    (B.x - A.x) * screenShape.x\\n  );\\n\\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\\n    sin(clipAngle),\\n    -cos(clipAngle)\\n  ) / screenShape;\\n\\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\\n\\n  worldPosition = position;\\n  pixelArcLength = arcLength;\\n  fragColor = color;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3      clipBounds[2];\\nuniform sampler2D dashTexture;\\nuniform float     dashScale;\\nuniform float     opacity;\\n\\nvarying vec3    worldPosition;\\nvarying float   pixelArcLength;\\nvarying vec4    fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n  if(dashWeight < 0.5) {\\n    discard;\\n  }\\n  gl_FragColor = fragColor * opacity;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX  1.70141184e38\\n#define FLOAT_MIN  1.17549435e-38\\n\\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\\nvec4 packFloat(float v) {\\n  float av = abs(v);\\n\\n  //Handle special cases\\n  if(av < FLOAT_MIN) {\\n    return vec4(0.0, 0.0, 0.0, 0.0);\\n  } else if(v > FLOAT_MAX) {\\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n  } else if(v < -FLOAT_MAX) {\\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\\n  }\\n\\n  vec4 c = vec4(0,0,0,0);\\n\\n  //Compute exponent and mantissa\\n  float e = floor(log2(av));\\n  float m = av * pow(2.0, -e) - 1.0;\\n\\n  //Unpack mantissa\\n  c[1] = floor(128.0 * m);\\n  m -= c[1] / 128.0;\\n  c[2] = floor(32768.0 * m);\\n  m -= c[2] / 32768.0;\\n  c[3] = floor(8388608.0 * m);\\n\\n  //Unpack exponent\\n  float ebias = e + 127.0;\\n  c[0] = floor(ebias / 2.0);\\n  ebias -= c[0] * 2.0;\\n  c[1] += floor(ebias) * 128.0;\\n\\n  //Unpack sign bit\\n  c[0] += 128.0 * step(0.0, -v);\\n\\n  //Scale back to range\\n  return c / 255.0;\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\\n\\n  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\\n}\"]),l=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];e.createShader=function(t){return i(t,a,o,null,l)},e.createPickShader=function(t){return i(t,a,s,null,l)}},5714:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=h(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=f(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),u=c(new Array(1024),[256,1,4]),p=0;p<1024;++p)u.data[p]=255;var d=a(e,u);d.wrap=e.REPEAT;var m=new y(e,r,o,s,l,d);return m.update(t),m};var n=r(2762),i=r(8116),a=r(7766),o=new Uint8Array(4),s=new Float32Array(o.buffer),l=r(2478),c=r(9618),u=r(7319),h=u.createShader,f=u.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function m(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function g(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function y(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var v=y.prototype;v.isTransparent=function(){return this.hasAlpha},v.isOpaque=function(){return!this.hasAlpha},v.pickSlots=1,v.setPickBase=function(t){this.pickId=t},v.drawTransparent=v.draw=function(t){if(this.vertexCount){var 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r=0,a=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),a+=Math.pow(e[o]-t[1][o],2);return(r=Math.sqrt(r))+(a=Math.sqrt(a))<1e-6?[1,0]:[a/(r+a),r/(a+r)]}if(3===t.length){var s=[0,0];return i(t[0],t[1],t[2],e,s),n(t,s)}return[]}(u,e),y=0;for(h=0;h<3;++h){if(g[h]<-.001||g[h]>1.0001)return null;y+=g[h]}return Math.abs(y-1)>.001?null:[f,s(t,g),g]}},840:function(t,e,r){var n=r(3236),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, normal;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model\\n           , view\\n           , projection\\n           , inverseModel;\\nuniform vec3 eyePosition\\n           , lightPosition;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvec4 project(vec3 p) {\\n  return projection * (view * (model * vec4(p, 1.0)));\\n}\\n\\nvoid main() {\\n  gl_Position      = project(position);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  f_color          = color;\\n  f_data           = position;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n            , fresnel\\n            , kambient\\n            , kdiffuse\\n            , kspecular;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (f_color.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\\n  ) discard;\\n\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\\n\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * f_color.a;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  gl_Position = projection * (view * (model * vec4(position, 1.0)));\\n  f_color = color;\\n  f_data  = position;\\n  f_uv    = uv;\\n}\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\n\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\nattribute float pointSize;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\\n  } else {\\n    gl_Position = projection * (view * (model * vec4(position, 1.0)));\\n  }\\n  gl_PointSize = pointSize;\\n  f_color = color;\\n  f_uv = uv;\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\\n  if(dot(pointR, pointR) > 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  gl_Position = projection * (view * (model * vec4(position, 1.0)));\\n  f_id        = id;\\n  f_position  = position;\\n}\"]),h=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]),f=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3  position;\\nattribute float pointSize;\\nattribute vec4  id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\\n  } else {\\n    gl_Position  = projection * (view * (model * vec4(position, 1.0)));\\n    gl_PointSize = pointSize;\\n  }\\n  f_id         = id;\\n  f_position   = position;\\n}\"]),p=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\n\\nvoid main() {\\n  gl_Position = projection * (view * (model * vec4(position, 1.0)));\\n}\"]),d=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec3 contourColor;\\n\\nvoid main() {\\n  gl_FragColor = vec4(contourColor, 1.0);\\n}\\n\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},e.wireShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},e.pointShader={vertex:l,fragment:c,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},e.pickShader={vertex:u,fragment:h,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},e.pointPickShader={vertex:f,fragment:h,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},e.contourShader={vertex:p,fragment:d,attributes:[{name:\"position\",type:\"vec3\"}]}},7201:function(t,e,r){\"use strict\";var n=r(9405),i=r(2762),a=r(8116),o=r(7766),s=r(8406),l=r(6760),c=r(7608),u=r(9618),h=r(6729),f=r(7765),p=r(1888),d=r(840),m=r(7626),g=d.meshShader,y=d.wireShader,v=d.pointShader,x=d.pickShader,_=d.pointPickShader,b=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g,y,v,x,_,b,T,k,A,M,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=u,this.triangleNormals=f,this.triangleUVs=h,this.triangleIds=c,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=g,this.edgeUVs=y,this.edgeIds=m,this.edgeVAO=v,this.edgeCount=0,this.pointPositions=x,this.pointColors=b,this.pointUVs=T,this.pointSizes=k,this.pointIds=_,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function A(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function M(t){var e=n(t,v.vertex,v.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function S(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function E(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function C(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=f(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var c=r[l],u=0;u<2;++u){var h=c[0];2===c.length&&(h=c[u]);for(var d=n[h][0],m=n[h][1],g=i[h],y=1-g,v=this.positions[d],x=this.positions[m],_=0;_<3;++_)o[s++]=g*v[_]+y*x[_]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},k.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"contourEnable\"in t&&(this.contourEnable=t.contourEnable),\"contourColor\"in t&&(this.contourColor=t.contourColor),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=t.opacity,this.opacity<1&&(this.hasAlpha=!0)),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale,this.hasAlpha=!0),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t,e){for(var r=h({colormap:t,nshades:256,format:\"rgba\"}),n=new Uint8Array(1024),i=0;i<256;++i){for(var a=r[i],o=0;o<3;++o)n[4*i+o]=a[o];n[4*i+3]=e?255*A(i/255,e):255*a[3]}return u(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var i=[],a=[],l=[],c=[],f=[],p=[],d=[],m=[],g=[],y=[],v=[],x=[],_=[],b=[];this.cells=r,this.positions=n;var w=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,M=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=s.faceNormals(r,n,M)),T||w||(w=s.vertexNormals(r,n,k));var S=t.vertexColors,E=t.cellColors,C=t.meshColor||[1,1,1,1],L=t.vertexUVs,I=t.vertexIntensity,P=t.cellUVs,z=t.cellIntensity,O=1/0,D=-1/0;if(!L&&!P)if(I)if(t.vertexIntensityBounds)O=+t.vertexIntensityBounds[0],D=+t.vertexIntensityBounds[1];else for(var R=0;R<I.length;++R){var F=I[R];O=Math.min(O,F),D=Math.max(D,F)}else if(z)if(t.cellIntensityBounds)O=+t.cellIntensityBounds[0],D=+t.cellIntensityBounds[1];else for(R=0;R<z.length;++R)F=z[R],O=Math.min(O,F),D=Math.max(D,F);else for(R=0;R<n.length;++R)F=n[R][2],O=Math.min(O,F),D=Math.max(D,F);this.intensity=I||z||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.pickVertex=!(z||E);var B=t.pointSizes,N=t.pointSize||1;for(this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],R=0;R<n.length;++R)for(var j=n[R],U=0;U<3;++U)!isNaN(j[U])&&isFinite(j[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],j[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],j[U]));var V=0,q=0,H=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[W=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;y.push(j[0],j[1],j[2]),Y=S?S[W]:E?E[R]:C,this.opacityscale&&I?a.push(Y[0],Y[1],Y[2],this.opacity*A((I[W]-O)/(D-O),this.opacityscale)):3===Y.length?v.push(Y[0],Y[1],Y[2],this.opacity):(v.push(Y[0],Y[1],Y[2],Y[3]*this.opacity),Y[3]<1&&(this.hasAlpha=!0)),X=L?L[W]:I?[(I[W]-O)/(D-O),0]:P?P[R]:z?[(z[R]-O)/(D-O),0]:[(j[2]-O)/(D-O),0],x.push(X[0],X[1]),B?_.push(B[W]):_.push(N),b.push(R),H+=1;break;case 2:for(U=0;U<2;++U){j=n[W=G[U]];for(var Z=0;Z<3;++Z)if(isNaN(j[Z])||!isFinite(j[Z]))continue t}for(U=0;U<2;++U)j=n[W=G[U]],p.push(j[0],j[1],j[2]),Y=S?S[W]:E?E[R]:C,this.opacityscale&&I?a.push(Y[0],Y[1],Y[2],this.opacity*A((I[W]-O)/(D-O),this.opacityscale)):3===Y.length?d.push(Y[0],Y[1],Y[2],this.opacity):(d.push(Y[0],Y[1],Y[2],Y[3]*this.opacity),Y[3]<1&&(this.hasAlpha=!0)),X=L?L[W]:I?[(I[W]-O)/(D-O),0]:P?P[R]:z?[(z[R]-O)/(D-O),0]:[(j[2]-O)/(D-O),0],m.push(X[0],X[1]),g.push(R);q+=1;break;case 3:for(U=0;U<3;++U)for(j=n[W=G[U]],Z=0;Z<3;++Z)if(isNaN(j[Z])||!isFinite(j[Z]))continue t;for(U=0;U<3;++U){var W,Y,X,$;j=n[W=G[2-U]],i.push(j[0],j[1],j[2]),(Y=S?S[W]:E?E[R]:C)?this.opacityscale&&I?a.push(Y[0],Y[1],Y[2],this.opacity*A((I[W]-O)/(D-O),this.opacityscale)):3===Y.length?a.push(Y[0],Y[1],Y[2],this.opacity):(a.push(Y[0],Y[1],Y[2],Y[3]*this.opacity),Y[3]<1&&(this.hasAlpha=!0)):a.push(.5,.5,.5,1),X=L?L[W]:I?[(I[W]-O)/(D-O),0]:P?P[R]:z?[(z[R]-O)/(D-O),0]:[(j[2]-O)/(D-O),0],c.push(X[0],X[1]),$=w?w[W]:T[R],l.push($[0],$[1],$[2]),f.push(R)}V+=1}}this.pointCount=H,this.edgeCount=q,this.triangleCount=V,this.pointPositions.update(y),this.pointColors.update(v),this.pointUVs.update(x),this.pointSizes.update(_),this.pointIds.update(new Uint32Array(b)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(m),this.edgeIds.update(new Uint32Array(g)),this.trianglePositions.update(i),this.triangleColors.update(a),this.triangleUVs.update(c),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(f))}},k.drawTransparent=k.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,inverseModel:w.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=c(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);for(l(u,s.view,s.model),l(u,s.projection,u),c(u,u),o=0;o<3;++o)s.eyePosition[o]=u[12+o]/u[15];var h,f=u[15];for(o=0;o<3;++o)f+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/f}this.triangleCount>0&&((h=this.triShader).bind(),h.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&this.lineWidth>0&&((h=this.lineShader).bind(),h.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((h=this.pointShader).bind(),h.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()),this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((h=this.contourShader).bind(),h.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};(s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;a<r.length;++a)i[a]=n[r[a]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],c=this.positions[r[1]],u=this.positions[r[2]],h=[(l[0]+c[0]+u[0])/3,(l[1]+c[1]+u[1])/3,(l[2]+c[2]+u[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:h}}var f=m(i,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!f)return null;var p=f[2],d=0;for(a=0;a<r.length;++a)d+=p[a]*this.intensity[r[a]];return{position:f[1],index:r[f[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[f[0]]]}},k.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},t.exports=function(t,e){if(1===arguments.length&&(t=(e=t).gl),!(t.getExtension(\"OES_standard_derivatives\")||t.getExtension(\"MOZ_OES_standard_derivatives\")||t.getExtension(\"WEBKIT_OES_standard_derivatives\")))throw new Error(\"derivatives not supported\");var r=function(t){var e=n(t,g.vertex,g.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}(t),s=function(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}(t),l=M(t),c=S(t),h=E(t),f=C(t),p=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=i(t),m=i(t),v=i(t),x=i(t),_=i(t),b=a(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:_,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:m,type:t.FLOAT,size:4},{buffer:v,type:t.FLOAT,size:2},{buffer:x,type:t.FLOAT,size:3}]),w=i(t),k=i(t),A=i(t),L=i(t),I=a(t,[{buffer:w,type:t.FLOAT,size:3},{buffer:L,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:k,type:t.FLOAT,size:4},{buffer:A,type:t.FLOAT,size:2}]),P=i(t),z=i(t),O=i(t),D=i(t),R=i(t),F=a(t,[{buffer:P,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:z,type:t.FLOAT,size:4},{buffer:O,type:t.FLOAT,size:2},{buffer:D,type:t.FLOAT,size:1}]),B=i(t),N=new T(t,p,r,s,l,c,h,f,d,_,m,v,x,b,w,L,k,A,I,P,R,z,O,D,F,B,a(t,[{buffer:B,type:t.FLOAT,size:3}]));return N.update(e),N}},8120:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new o(t,n(e,[0,0,0,1,1,0,1,1]),i(e,a.boxVert,a.lineFrag))};var n=r(2762),i=r(9405),a=r(3603);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,i){var a=this.plot,o=this.shader,c=a.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=i,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},1913:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new s(t,n(e),i(e,o.gridVert,o.gridFrag),i(e,o.tickVert,o.gridFrag))};var n=r(2762),i=r(9405),a=r(2478),o=r(3603);function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var c,u,h,f,p,d=s.prototype;d.draw=(c=[0,0],u=[0,0],h=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,i=t.gl,a=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,f=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,m=0;m<2;++m){var g=a[m],y=a[m+2]-g,v=.5*(o[m+2]+o[m]),x=o[m+2]-o[m];u[m]=2*y/x,c[m]=2*(g-v)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=c,r.uniforms.dataScale=u;var _=0;for(m=0;m<2;++m){h[0]=h[1]=0,h[m]=1,r.uniforms.dataAxis=h,r.uniforms.lineWidth=l[m]/(s[m+2]-s[m])*d,r.uniforms.color=f[m];var b=6*n[m].length;p[m]&&b&&i.drawArrays(i.TRIANGLES,_,b),_+=b}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],i=[0,0],o=[0,0];return function(){for(var s=this.plot,c=this.vbo,u=this.tickShader,h=this.ticks,f=s.gl,p=s._tickBounds,d=s.dataBox,m=s.viewBox,g=s.pixelRatio,y=s.screenBox,v=y[2]-y[0],x=y[3]-y[1],_=m[2]-m[0],b=m[3]-m[1],w=0;w<2;++w){var T=p[w],k=p[w+2]-T,A=.5*(d[w+2]+d[w]),M=d[w+2]-d[w];e[w]=2*k/M,t[w]=2*(T-A)/M}e[0]*=_/v,t[0]*=_/v,e[1]*=b/x,t[1]*=b/x,u.bind(),c.bind(),u.attributes.dataCoord.pointer();var S=u.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,C=s.tickMarkWidth,L=s.tickMarkColor,I=6*h[0].length,P=Math.min(a.ge(h[0],(d[0]-p[0])/(p[2]-p[0]),l),h[0].length),z=Math.min(a.gt(h[0],(d[2]-p[0])/(p[2]-p[0]),l),h[0].length),O=0+6*P,D=6*Math.max(0,z-P),R=Math.min(a.ge(h[1],(d[1]-p[1])/(p[3]-p[1]),l),h[1].length),F=Math.min(a.gt(h[1],(d[3]-p[1])/(p[3]-p[1]),l),h[1].length),B=I+6*R,N=6*Math.max(0,F-R);i[0]=2*(m[0]-E[1])/v-1,i[1]=(m[3]+m[1])/x-1,o[0]=E[1]*g/v,o[1]=C[1]*g/x,N&&(S.color=L[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,f.drawArrays(f.TRIANGLES,B,N)),i[0]=(m[2]+m[0])/v-1,i[1]=2*(m[1]-E[0])/x-1,o[0]=C[0]*g/v,o[1]=E[0]*g/x,D&&(S.color=L[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,f.drawArrays(f.TRIANGLES,O,D)),i[0]=2*(m[2]+E[3])/v-1,i[1]=(m[3]+m[1])/x-1,o[0]=E[3]*g/v,o[1]=C[3]*g/x,N&&(S.color=L[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,f.drawArrays(f.TRIANGLES,B,N)),i[0]=(m[2]+m[0])/v-1,i[1]=2*(m[3]+E[2])/x-1,o[0]=C[2]*g/v,o[1]=E[2]*g/x,D&&(S.color=L[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,f.drawArrays(f.TRIANGLES,O,D))}}(),d.update=(f=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),i=(this.plot.zeroLineEnable,0),a=[[],[]],o=0;o<2;++o)for(var s=a[o],l=e[o],c=r[o],u=r[o+2],h=0;h<l.length;++h){var d=(l[h].x-c)/(u-c);s.push(d);for(var m=0;m<6;++m)n[i++]=d,n[i++]=f[m],n[i++]=p[m]}this.ticks=a,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},4747:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new o(t,n(e,[-1,-1,-1,1,1,-1,1,1]),i(e,a.lineVert,a.lineFrag))};var n=r(2762),i=r(9405),a=r(3603);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,i,a){var o=this.plot,c=this.shader,u=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,c.uniforms.start=s,c.uniforms.end=l,c.uniforms.width=i*o.pixelRatio,c.uniforms.color=a,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},3603:function(t,e,r){\"use strict\";var n=r(3236),i=n([\"precision lowp float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\\n}\\n\"]);t.exports={lineVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 start, end;\\nuniform float width;\\n\\nvec2 perp(vec2 v) {\\n  return vec2(v.y, -v.x);\\n}\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  vec2 delta = normalize(perp(start - end));\\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\\n}\\n\"]),lineFrag:i,textVert:n([\"#define GLSLIFY 1\\nattribute vec3 textCoordinate;\\n\\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\\nuniform float angle;\\n\\nvoid main() {\\n  float dataOffset  = textCoordinate.z;\\n  vec2 glyphOffset  = textCoordinate.xy;\\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\\n    glyphMatrix * glyphOffset * textScale + screenOffset;\\n  gl_Position = vec4(screenCoordinate, 0, 1);\\n}\\n\"]),textFrag:i,gridVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale;\\nuniform float lineWidth;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\\n  gl_Position = vec4(pos, 0, 1);\\n}\\n\"]),gridFrag:i,boxVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 lo, hi;\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\\n}\\n\"]),tickVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\\n}\\n\"])}},2142:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new l(t,n(e),i(e,s.textVert,s.textFrag))};var n=r(2762),i=r(9405),a=r(529),o=r(2478),s=r(3603);function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var c,u,h,f,p,d,m=l.prototype;m.drawTicks=(c=[0,0],u=[0,0],h=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],i=this.tickOffset[t],a=e.gl,s=e.viewBox,l=e.dataBox,f=e.screenBox,p=e.pixelRatio,d=e.tickEnable,m=e.tickPad,g=e.tickColor,y=e.tickAngle,v=e.labelEnable,x=e.labelPad,_=e.labelColor,b=e.labelAngle,w=this.labelOffset[t],T=this.labelCount[t],k=o.lt(n,l[t]),A=o.le(n,l[t+2]);c[0]=c[1]=0,c[t]=1,u[t]=(s[2+t]+s[t])/(f[2+t]-f[t])-1;var M=2/f[2+(1^t)]-f[1^t];u[1^t]=M*s[1^t]-1,d[t]&&(u[1^t]-=M*p*m[t],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=g[t],r.uniforms.angle=y[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),v[t]&&T&&(u[1^t]-=M*p*x[t],r.uniforms.dataAxis=h,r.uniforms.screenOffset=u,r.uniforms.color=_[t],r.uniforms.angle=b[t],a.drawArrays(a.TRIANGLES,w,T)),u[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(u[1^t]+=M*p*m[t+2],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=g[t+2],r.uniforms.angle=y[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),v[t+2]&&T&&(u[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=h,r.uniforms.screenOffset=u,r.uniforms.color=_[t+2],r.uniforms.angle=b[t+2],a.drawArrays(a.TRIANGLES,w,T))}),m.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,c=r.pixelRatio;if(this.titleCount){for(var u=0;u<2;++u)e[u]=2*(o[u]*c-a[u])/(a[2+u]-a[u])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),m.bind=(f=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,c=.5*(n[o+2]+n[o]),u=n[o+2]-n[o],h=a[o],m=a[o+2]-h,g=i[o],y=i[o+2]-g;p[o]=2*l/u*m/y,f[o]=2*(s-c)/u*m/y}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=f,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),m.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,c=t.bounds;for(o=0;o<2;++o){var u=[Math.floor(s.length/3)],h=[-1/0],f=l[o];for(e=0;e<f.length;++e){var p=f[e],d=p.x,m=p.text,g=p.font||\"sans-serif\",y=p.fontStyle||\"normal\",v=p.fontWeight||\"normal\",x=p.fontVariant||\"normal\";i=p.fontSize||12;for(var _=1/(c[o+2]-c[o]),b=c[o],w=m.split(\"\\n\"),T=0;T<w.length;T++)for(n=a(g,w[T],{fontStyle:y,fontWeight:v,fontVariant:x}).data,r=0;r<n.length;r+=2)s.push(n[r]*i,-n[r+1]*i-T*i*1.2,(d-b)*_);u.push(Math.floor(s.length/3)),h.push(d)}this.tickOffset[o]=u,this.tickX[o]=h}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=a(t.labelFont[o],t.labels[o],{fontStyle:t.labelFontStyle[o],fontWeight:t.labelFontWeight[o],fontVariant:t.labelFontVariant[o],textAlign:\"center\"}).data,i=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=a(t.titleFont,t.title,{fontStyle:t.titleFontStyle,fontWeight:t.titleFontWeight,fontVariant:t.titleFontVariant}).data,i=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},m.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},1850:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl,r=new l(e,n(e,[e.drawingBufferWidth,e.drawingBufferHeight]));return r.grid=i(r),r.text=a(r),r.line=o(r),r.box=s(r),r.update(t),r};var n=r(3589),i=r(1913),a=r(2142),o=r(4747),s=r(8120);function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var c=l.prototype;function u(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function h(t,e){return t.x-e.x}c.setDirty=function(){this.dirty=this.pickDirty=!0},c.setOverlayDirty=function(){this.dirty=!0},c.nextDepthValue=function(){return this._depthCounter++/65536},c.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,i=this.pixelRatio,a=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var c=this.borderColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var u=this.backgroundColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var h=this.zeroLineEnable,f=this.zeroLineColor,p=this.zeroLineWidth;if(h[0]||h[1]){o.bind();for(var d=0;d<2;++d)if(h[d]&&n[d]<=0&&n[d+2]>=0){var m=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(m,e[1],m,e[3],p[d],f[d]):o.drawLine(e[0],m,e[2],m,p[d],f[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var g=this.borderLineEnable,y=this.borderLineWidth,v=this.borderLineColor;for(g[1]&&o.drawLine(r[0],r[1]-.5*y[1]*i,r[0],r[3]+.5*y[3]*i,y[1],v[1]),g[0]&&o.drawLine(r[0]-.5*y[0]*i,r[1],r[2]+.5*y[2]*i,r[1],y[0],v[0]),g[3]&&o.drawLine(r[2],r[1]-.5*y[1]*i,r[2],r[3]+.5*y[3]*i,y[3],v[3]),g[2]&&o.drawLine(r[0]-.5*y[0]*i,r[3],r[2]+.5*y[2]*i,r[3],y[2],v[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},c.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl,this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},c.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,i=this.viewBox,a=0|Math.round((t-i[0]/r)*n),o=0|Math.round((e-i[1]/r)*n),s=this.pickBuffer.query(a,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),c=this.objects,u=0;u<c.length;++u){var h=c[u].pick(a,o,l);if(h)return h}return null}},c.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},c.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},c.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},c.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]),this.screenBox,this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,i=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/i,10,10/i]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=u(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=u(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=u(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!(\"titleEnable\"in t)||!!t.titleEnable,this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=u(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=u(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=u(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var a=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=a[s].slice(0);0!==l.length&&(l.sort(h),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:a}),this.text.update({bounds:o,ticks:a,labels:t.labels||[\"x\",\"y\"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||[\"sans-serif\",\"sans-serif\"],labelFontStyle:t.labelFontStyle||[\"normal\",\"normal\"],labelFontWeight:t.labelFontWeight||[\"normal\",\"normal\"],labelFontVariant:t.labelFontVariant||[\"normal\",\"normal\"],title:t.title||\"\",titleSize:t.titleSize||18,titleFont:t.titleFont||\"sans-serif\",titleFontStyle:t.titleFontStyle||\"normal\",titleFontWeight:t.titleFontWeight||\"normal\",titleFontVariant:t.titleFontVariant||\"normal\"}),this.static=!!t.static,this.setDirty()},c.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();for(this.objects.length=0,t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},c.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},c.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},c.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},c.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},4437:function(t,e,r){\"use strict\";t.exports=function(t,e){t=t||document.body;var r=[.01,1/0];\"distanceLimits\"in(e=e||{})&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]),\"zoomMin\"in e&&(r[0]=e.zoomMin),\"zoomMax\"in e&&(r[1]=e.zoomMax);var c=i({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||\"orbit\",distanceLimits:r}),u=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],h=0,f=t.clientWidth,p=t.clientHeight,d={keyBindingMode:\"rotate\",enableWheel:!0,view:c,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:c.modes,_ortho:e._ortho||e.projection&&\"orthographic\"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,i=e-2*r;c.idle(e-r),c.recalcMatrix(i),c.flush(e-(100+2*r));for(var a=!0,o=c.computedMatrix,s=0;s<16;++s)a=a&&u[s]===o[s],u[s]=o[s];var l=t.clientWidth===f&&t.clientHeight===p;return f=t.clientWidth,p=t.clientHeight,a?!l:(h=Math.exp(c.computedRadius[0]),!0)},lookAt:function(t,e,r){c.lookAt(c.lastT(),t,e,r)},rotate:function(t,e,r){c.rotate(c.lastT(),t,e,r)},pan:function(t,e,r){c.pan(c.lastT(),t,e,r)},translate:function(t,e,r){c.translate(c.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return c.computedMatrix},set:function(t){return c.setMatrix(c.lastT(),t),c.computedMatrix},enumerable:!0},mode:{get:function(){return c.getMode()},set:function(t){var e=c.computedUp.slice(),r=c.computedEye.slice(),i=c.computedCenter.slice();if(c.setMode(t),\"turntable\"===t){var a=n();c._active.lookAt(a,r,i,e),c._active.lookAt(a+500,r,i,[0,0,1]),c._active.flush(a)}return c.getMode()},enumerable:!0},center:{get:function(){return c.computedCenter},set:function(t){return c.lookAt(c.lastT(),null,t),c.computedCenter},enumerable:!0},eye:{get:function(){return c.computedEye},set:function(t){return c.lookAt(c.lastT(),t),c.computedEye},enumerable:!0},up:{get:function(){return c.computedUp},set:function(t){return c.lookAt(c.lastT(),null,null,t),c.computedUp},enumerable:!0},distance:{get:function(){return h},set:function(t){return c.setDistance(c.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return c.getDistanceLimits(r)},set:function(t){return c.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener(\"contextmenu\",(function(t){return t.preventDefault(),!1})),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,i,a){var o=d.keyBindingMode;if(!1!==o){var s=\"rotate\"===o,l=\"pan\"===o,u=\"zoom\"===o,f=!!a.control,p=!!a.alt,m=!!a.shift,g=!!(1&e),y=!!(2&e),v=!!(4&e),x=1/t.clientHeight,_=x*(r-d._lastX),b=x*(i-d._lastY),w=d.flipX?1:-1,T=d.flipY?1:-1,k=Math.PI*d.rotateSpeed,A=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&g&&!f&&!p&&!m||g&&!f&&!p&&m)&&c.rotate(A,w*k*_,-T*k*b,0),(l&&g&&!f&&!p&&!m||y||g&&f&&!p&&!m)&&c.pan(A,-d.translateSpeed*_*h,d.translateSpeed*b*h,0),u&&g&&!f&&!p&&!m||v||g&&!f&&p&&!m)){var M=-d.zoomSpeed*b/window.innerHeight*(A-c.lastT())*100;c.pan(A,0,0,h*(Math.exp(M)-1))}return d._lastX=r,d._lastY=i,d._lastMods=a,!0}}d.mouseListener=a(t,e),t.addEventListener(\"touchstart\",(function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods)}),!!l&&{passive:!0}),t.addEventListener(\"touchmove\",(function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener(\"touchend\",(function(t){e(0,d._lastX,d._lastY,d._lastMods)}),!!l&&{passive:!0}),d.wheelListener=o(t,(function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,i=d.flipY?1:-1,a=n();if(Math.abs(t)>Math.abs(e))c.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-c.lastT())/20;c.pan(a,0,0,h*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=r(3025),i=r(6296),a=r(351),o=r(8512),s=r(24),l=r(7520)},799:function(t,e,r){var n=r(3236),i=r(9405),a=n([\"precision mediump float;\\n#define GLSLIFY 1\\nattribute vec2 position;\\nvarying vec2 uv;\\nvoid main() {\\n  uv = position;\\n  gl_Position = vec4(position, 0, 1);\\n}\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D accumBuffer;\\nvarying vec2 uv;\\n\\nvoid main() {\\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\\n  gl_FragColor = min(vec4(1,1,1,1), accum);\\n}\"]);t.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec2\"}])}},4100:function(t,e,r){\"use strict\";var n=r(4437),i=r(3837),a=r(5445),o=r(4449),s=r(3589),l=r(2260),c=r(7169),u=r(351),h=r(4772),f=r(4040),p=r(799),d=r(9216)({tablet:!0,featureDetect:!0});function m(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function g(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}return e>0?(r=Math.round(Math.pow(10,e)),Math.ceil(t/r)*r):Math.ceil(t)}function y(t){return\"boolean\"!=typeof t||t}t.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;e||(e=document.createElement(\"canvas\"),t.container?t.container.appendChild(e):document.body.appendChild(e));var r=t.gl;if(r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext(\"webgl\",e))||(r=t.getContext(\"experimental-webgl\",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d})),!r)throw new Error(\"webgl not supported\");var v=t.bounds||[[-10,-10,-10],[10,10,10]],x=new m,_=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),b=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&\"orthographic\"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||\"turntable\",_ortho:w},k=t.axes||{},A=i(r,k);A.enable=!k.disable;var M=t.spikes||{},S=o(r,M),E=[],C=[],L=[],I=[],P=!0,z=!0,O={view:null,projection:new Array(16),model:new Array(16),_ortho:!1},D=(z=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),R=t.cameraObject||n(e,T),F={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:R,axes:A,axesPixels:null,spikes:S,bounds:v,objects:E,shape:D,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:y(t.autoResize),autoBounds:y(t.autoBounds),autoScale:!!t.autoScale,autoCenter:y(t.autoCenter),clipToBounds:y(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:O,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,z=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},B=[r.drawingBufferWidth/F.pixelRatio|0,r.drawingBufferHeight/F.pixelRatio|0];function N(){if(!F._stopped&&F.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*F.pixelRatio),a=0|Math.ceil(n*F.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||\"absolute\",o.left=\"0px\",o.top=\"0px\",o.width=r+\"px\",o.height=n+\"px\",P=!0}}}function j(){for(var t=E.length,e=I.length,n=0;n<e;++n)L[n]=0;t:for(n=0;n<t;++n){var i=E[n],a=i.pickSlots;if(a){for(var o=0;o<e;++o)if(L[o]+a<255){C[n]=o,i.setPickBase(L[o]+1),L[o]+=a;continue t}var l=s(r,D);C[n]=e,I.push(l),L.push(a),i.setPickBase(1),e+=1}else C[n]=-1}for(;e>0&&0===L[e-1];)L.pop(),I.pop().dispose()}function U(){if(F.contextLost)return!0;r.isContextLost()&&(F.contextLost=!0,F.mouseListener.enabled=!1,F.selection.object=null,F.oncontextloss&&F.oncontextloss())}F.autoResize&&N(),window.addEventListener(\"resize\",N),F.update=function(t){F._stopped||(t=t||{},P=!0,z=!0)},F.add=function(t){F._stopped||(t.axes=A,E.push(t),C.push(-1),P=!0,z=!0,j())},F.remove=function(t){if(!F._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),C.pop(),P=!0,z=!0,j())}},F.dispose=function(){if(!F._stopped&&(F._stopped=!0,window.removeEventListener(\"resize\",N),e.removeEventListener(\"webglcontextlost\",U),F.mouseListener.enabled=!1,!F.contextLost)){A.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();for(_.dispose(),t=0;t<I.length;++t)I[t].dispose();b.dispose(),r=null,A=null,S=null,E=[]}},F._mouseRotating=!1,F._prevButtons=0,F.enableMouseListeners=function(){F.mouseListener=u(e,(function(t,e,r){if(!F._stopped){var n=I.length,i=E.length,a=x.object;x.distance=1/0,x.mouse[0]=e,x.mouse[1]=r,x.object=null,x.screen=null,x.dataCoordinate=x.dataPosition=null;var o=!1;if(t&&F._prevButtons)F._mouseRotating=!0;else{F._mouseRotating&&(z=!0),F._mouseRotating=!1;for(var s=0;s<n;++s){var l=I[s].query(e,B[1]-r-1,F.pickRadius);if(l){if(l.distance>x.distance)continue;for(var c=0;c<i;++c){var u=E[c];if(C[c]===s){var h=u.pick(l);h&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=u,x.index=h.distance,x.dataPosition=h.position,x.dataCoordinate=h.dataCoordinate,x.data=h,o=!0)}}}}}a&&a!==x.object&&(a.highlight&&a.highlight(null),P=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),P=!0),(o=o||x.object!==a)&&F.onselect&&F.onselect(x),1&t&&!(1&F._prevButtons)&&F.onclick&&F.onclick(x),F._prevButtons=t}}))},e.addEventListener(\"webglcontextlost\",U);var V=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],q=[V[0].slice(),V[1].slice()];function H(){if(!U()){N();var t=F.camera.tick();O.view=F.camera.matrix,P=P||t,z=z||t,A.pixelRatio=F.pixelRatio,S.pixelRatio=F.pixelRatio;var e=E.length,n=V[0],i=V[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<e;++o){(L=E[o]).pixelRatio=F.pixelRatio,L.axes=F.axes,P=P||!!L.dirty,z=z||!!L.dirty;var s=L.bounds;if(s)for(var l=s[0],u=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),i[p]=Math.max(i[p],u[p])}var d=F.bounds;if(F.autoBounds)for(p=0;p<3;++p){if(i[p]<n[p])n[p]=-1,i[p]=1;else{n[p]===i[p]&&(n[p]-=1,i[p]+=1);var m=.05*(i[p]-n[p]);n[p]=n[p]-m,i[p]=i[p]+m}d[0][p]=n[p],d[1][p]=i[p]}var y=!1;for(p=0;p<3;++p)y=y||q[0][p]!==d[0][p]||q[1][p]!==d[1][p],q[0][p]=d[0][p],q[1][p]=d[1][p];if(z=z||y,P=P||y){if(y){var v=[0,0,0];for(o=0;o<3;++o)v[o]=g((d[1][o]-d[0][o])/10);A.autoTicks?A.update({bounds:d,tickSpacing:v}):A.update({bounds:d})}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;for(D[0]=T,D[1]=k,B[0]=0|Math.max(T/F.pixelRatio,1),B[1]=0|Math.max(k/F.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,i=n.projection,a=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,c=t.zFar,u=t.fovy,p=o/s;e?(f(i,-p,p,-1,1,l,c),n._ortho=!0):(h(i,u,p,l,c),n._ortho=!1);for(var d=0;d<16;++d)a[d]=0;a[15]=1;var m=0;for(d=0;d<3;++d)m=Math.max(m,r[1][d]-r[0][d]);for(d=0;d<3;++d)t.autoScale?a[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):a[5*d]=1/m,t.autoCenter&&(a[12+d]=.5*-a[5*d]*(r[0][d]+r[1][d]))}(F,w),o=0;o<e;++o)(L=E[o]).axesBounds=d,F.clipToBounds&&(L.clipBounds=d);x.object&&(F.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),z&&(z=!1,function(){if(!U()){r.colorMask(!0,!0,!0,!0),r.depthMask(!0),r.disable(r.BLEND),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL);for(var t=E.length,e=I.length,n=0;n<e;++n){var i=I[n];i.shape=B,i.begin();for(var a=0;a<t;++a)if(C[a]===n){var o=E[a];o.drawPick&&(o.pixelRatio=1,o.drawPick(O))}i.end()}}}()),F.axesPixels=a(F.axes,O,T,k),F.onrender&&F.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,k),F.clearRGBA(),r.depthMask(!0),r.colorMask(!0,!0,!0,!0),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL),r.disable(r.BLEND),r.disable(r.CULL_FACE);var M=!1;for(A.enable&&(M=M||A.isTransparent(),A.draw(O)),S.axes=A,x.object&&S.draw(O),r.disable(r.CULL_FACE),o=0;o<e;++o)(L=E[o]).axes=A,L.pixelRatio=F.pixelRatio,L.isOpaque&&L.isOpaque()&&L.draw(O),L.isTransparent&&L.isTransparent()&&(M=!0);if(M){for(_.shape=D,_.bind(),r.clear(r.DEPTH_BUFFER_BIT),r.colorMask(!1,!1,!1,!1),r.depthMask(!0),r.depthFunc(r.LESS),A.enable&&A.isTransparent()&&A.drawTransparent(O),o=0;o<e;++o)(L=E[o]).isOpaque&&L.isOpaque()&&L.draw(O);for(r.enable(r.BLEND),r.blendEquation(r.FUNC_ADD),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.colorMask(!0,!0,!0,!0),r.depthMask(!1),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),A.isTransparent()&&A.drawTransparent(O),o=0;o<e;++o){var L;(L=E[o]).isTransparent&&L.isTransparent()&&L.drawTransparent(O)}r.bindFramebuffer(r.FRAMEBUFFER,null),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.disable(r.DEPTH_TEST),b.bind(),_.color[0].bind(0),b.uniforms.accumBuffer=0,c(r),r.disable(r.BLEND)}for(P=!1,o=0;o<e;++o)E[o].dirty=!1}}}return F.enableMouseListeners(),function t(){F._stopped||F.contextLost||(H(),requestAnimationFrame(t))}(),F.redraw=function(){F._stopped||(P=!0,H())},F},createCamera:n}},6640:function(t,e,r){var n=r(3236);e.pointVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform float pointCloud;\\n\\nhighp float rand(vec2 co) {\\n  highp float a = 12.9898;\\n  highp float b = 78.233;\\n  highp float c = 43758.5453;\\n  highp float d = dot(co.xy, vec2(a, b));\\n  highp float e = mod(d, 3.14);\\n  return fract(sin(e) * c);\\n}\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n    // if we don't jitter the point size a bit, overall point cloud\\n    // saturation 'jumps' on zooming, which is disturbing and confusing\\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    // get the same square surface as circle would be\\n    gl_PointSize *= 0.886;\\n  }\\n}\"]),e.pointFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\nuniform float pointCloud;\\n\\nvoid main() {\\n  float radius;\\n  vec4 baseColor;\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    if(centerFraction == 1.0) {\\n      gl_FragColor = color;\\n    } else {\\n      gl_FragColor = mix(borderColor, color, centerFraction);\\n    }\\n  } else {\\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n    if(radius > 1.0) {\\n      discard;\\n    }\\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\\n  }\\n}\\n\"]),e.pickVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n  gl_PointSize = pointSize;\\n\\n  vec4 id = pickId + pickOffset;\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  fragId = id;\\n}\\n\"]),e.pickFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  gl_FragColor = fragId / 255.0;\\n}\\n\"])},4696:function(t,e,r){\"use strict\";var n=r(9405),i=r(2762),a=r(1888),o=r(6640);function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}t.exports=function(t,e){var r=t.gl,a=new s(t,i(r),i(r),n(r,o.pointVertex,o.pointFragment),n(r,o.pickVertex,o.pickFragment));return a.update(e),t.addObject(a),a};var l,c,u=s.prototype;u.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},u.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r(\"sizeMin\",.5),this.sizeMax=r(\"sizeMax\",20),this.color=r(\"color\",[1,0,0,1]).slice(),this.areaRatio=r(\"areaRatio\",1),this.borderColor=r(\"borderColor\",[0,0,0,1]).slice(),this.blend=r(\"blend\",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),c=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e<n;e++)c[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(c),i||a.free(l),o||a.free(c),this.pointCount=n,this.pickOffset=0},u.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],c=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,i=this.plot.dataBox;if(0===this.pointCount)return t;var a=i[2]-i[0],o=i[3]-i[1],s=function(t,e){var r,n=0,i=t.length>>>1;for(r=0;r<i;r++){var a=t[2*r],o=t[2*r+1];a>=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),u=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=u<5,r.uniforms.pointSize=u,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(c[0]=255&t,c[1]=t>>8&255,c[2]=t>>16&255,c[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=c,this.pickOffset=t);var h=n.getParameter(n.BLEND),f=n.getParameter(n.DITHER);return h&&!this.blend&&n.disable(n.BLEND),f&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),h&&!this.blend&&n.enable(n.BLEND),f&&n.enable(n.DITHER),t+this.pointCount}),u.draw=u.unifiedDraw,u.drawPick=u.unifiedDraw,u.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},783:function(t){t.exports=function(t,e,r,n){var i,a,o,s,l,c=e[0],u=e[1],h=e[2],f=e[3],p=r[0],d=r[1],m=r[2],g=r[3];return(a=c*p+u*d+h*m+f*g)<0&&(a=-a,p=-p,d=-d,m=-m,g=-g),1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n),t[0]=s*c+l*p,t[1]=s*u+l*d,t[2]=s*h+l*m,t[3]=s*f+l*g,t}},5964:function(t){\"use strict\";t.exports=function(t){return t||0===t?t.toString():\"\"}},9366:function(t,e,r){\"use strict\";var n=r(4359);t.exports=function(t,e,r){var a=[e.style,e.weight,e.variant,e.family].join(\"_\"),o=i[a];if(o||(o=i[a]={}),t in o)return o[t];var s={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e.family,fontStyle:e.style,fontWeight:e.weight,fontVariant:e.variant,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},l=n(t,s);s.triangles=!1;var c,u,h=n(t,s);if(r&&1!==r){for(c=0;c<l.positions.length;++c)for(u=0;u<l.positions[c].length;++u)l.positions[c][u]/=r;for(c=0;c<h.positions.length;++c)for(u=0;u<h.positions[c].length;++u)h.positions[c][u]/=r}var f=[[1/0,1/0],[-1/0,-1/0]],p=h.positions.length;for(c=0;c<p;++c){var d=h.positions[c];for(u=0;u<2;++u)f[0][u]=Math.min(f[0][u],d[u]),f[1][u]=Math.max(f[1][u],d[u])}return o[t]=[l,h,f]};var i={}},1283:function(t,e,r){var n=r(9405),i=r(3236),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = 1.0;\\n    if(distance(highlightId, id) < 0.0001) {\\n      scale = highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1);\\n    vec4 viewPosition = view * worldPosition;\\n    viewPosition = viewPosition / viewPosition.w;\\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = pixelRatio;\\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\\n      scale *= highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1.0);\\n    vec4 viewPosition = view * worldPosition;\\n    vec4 clipPosition = projection * viewPosition;\\n    clipPosition /= clipPosition.w;\\n\\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float lscale = pixelRatio * scale;\\n    if(distance(highlightId, id) < 0.0001) {\\n      lscale *= highlightScale;\\n    }\\n\\n    vec4 clipCenter   = projection * (view * (model * vec4(position, 1)));\\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\n    vec4 clipPosition = projection * (view * (model * vec4(dataPosition, 1)));\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = dataPosition;\\n  }\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (\\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\\n    interpColor.a * opacity == 0.\\n  ) discard;\\n  gl_FragColor = interpColor * opacity;\\n}\\n\"]),c=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\\n\\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\\n}\"]),u=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],h={vertex:a,fragment:l,attributes:u},f={vertex:o,fragment:l,attributes:u},p={vertex:s,fragment:l,attributes:u},d={vertex:a,fragment:c,attributes:u},m={vertex:o,fragment:c,attributes:u},g={vertex:s,fragment:c,attributes:u};function y(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}e.createPerspective=function(t){return y(t,h)},e.createOrtho=function(t){return y(t,f)},e.createProject=function(t){return y(t,p)},e.createPickPerspective=function(t){return y(t,d)},e.createPickOrtho=function(t){return y(t,m)},e.createPickProject=function(t){return y(t,g)}},8418:function(t,e,r){\"use strict\";var n=r(5219),i=r(2762),a=r(8116),o=r(1888),s=r(6760),l=r(1283),c=r(9366),u=r(5964),h=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],f=ArrayBuffer,p=DataView;function d(t){return Array.isArray(t)||function(t){return f.isView(t)&&!(t instanceof p)}(t)}function m(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function g(t,e,r,n){return m(n,n),m(n,n),m(n,n)}function y(t,e){this.index=t,this.dataCoordinate=this.position=e}function v(t){return!0===t||t>1?1:t}function x(t,e,r,n,i,a,o,s,l,c,u,h){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=c,this.pickOrthoShader=u,this.pickProjectShader=h,this.points=[],this._selectResult=new y(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}t.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),c=l.createPickOrtho(e),u=l.createPickProject(e),h=i(e),f=i(e),p=i(e),d=i(e),m=new x(e,r,n,o,h,f,p,d,a(e,[{buffer:h,size:3,type:e.FLOAT},{buffer:f,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),s,c,u);return m.update(t),m};var _=x.prototype;_.pickSlots=1,_.setPickBase=function(t){this.pickId=t},_.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},_.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var b=[0,0],w=[0,0,0],T=[0,0,0],k=[0,0,0,1],A=[0,0,0,1],M=h.slice(),S=[0,0,0],E=[[0,0,0],[0,0,0]];function C(t){return t[0]=t[1]=t[2]=0,t}function L(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function I(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}var P=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function z(t,e,r,n,i,a,o){var l=r.gl;if((a===r.projectHasAlpha||o)&&function(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,c=r.model||h,u=r.view||h,f=r.projection||h,p=e.axesBounds,d=function(t){for(var e=E,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],b[0]=2/o.drawingBufferWidth,b[1]=2/o.drawingBufferHeight,t.bind(),l.view=u,l.projection=f,l.screenSize=b,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=d,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var m=0;m<3;++m)if(a[m]){l.scale=e.projectScale[m],l.opacity=e.projectOpacity[m];for(var y=M,v=0;v<16;++v)y[v]=0;for(v=0;v<4;++v)y[5*v]=1;y[5*m]=0,i[m]<0?y[12+m]=p[0][m]:y[12+m]=p[1][m],s(y,c,y),l.model=y;var x=(m+1)%3,_=(m+2)%3,P=C(w),z=C(T);P[x]=1,z[_]=1;var O=g(0,0,0,L(k,P)),D=g(0,0,0,L(A,z));if(Math.abs(O[1])>Math.abs(D[1])){var R=O;O=D,D=R,R=P,P=z,z=R;var F=x;x=_,_=F}O[0]<0&&(P[x]=-1),D[1]>0&&(z[_]=-1);var B=0,N=0;for(v=0;v<4;++v)B+=Math.pow(c[4*x+v],2),N+=Math.pow(c[4*_+v],2);P[x]/=Math.sqrt(B),z[_]/=Math.sqrt(N),l.axes[0]=P,l.axes[1]=z,l.fragClipBounds[0]=I(S,d[0],m,-1e8),l.fragClipBounds[1]=I(S,d[1],m,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}(e,r,n,i),a===r.hasAlpha||o){t.bind();var c=t.uniforms;c.model=n.model||h,c.view=n.view||h,c.projection=n.projection||h,b[0]=2/l.drawingBufferWidth,b[1]=2/l.drawingBufferHeight,c.screenSize=b,c.highlightId=r.highlightId,c.highlightScale=r.highlightScale,c.fragClipBounds=P,c.clipBounds=r.axes.bounds,c.opacity=r.opacity,c.pickGroup=r.pickId/255,c.pixelRatio=i,r.vao.bind(),r.vao.draw(l.TRIANGLES,r.vertexCount),r.lineWidth>0&&(l.lineWidth(r.lineWidth*i),r.vao.draw(l.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function O(t,e,r,i){var a;a=d(t)?e<t.length?t[e]:void 0:t,a=u(a);var 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float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, tubeScale;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * tubePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(tubePosition, 1.0);\\n  vec4 t_position  = view * tubePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = tubePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float tubeScale;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  gl_Position = projection * (view * tubePosition);\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]}},7815:function(t,e,r){\"use strict\";var n=r(2931),i=r(9970),a=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],o=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var i=t[r];if(i===e)return r;if(i>e)return r-1}return r},s=function(t,e,r){return t<e?e:t>r?r:t},l=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;n<r;n++){var i=Math.abs(t[n]-t[n-1]);i<e&&(e=i)}return e};t.exports=function(t,e){var r=t.startingPositions,c=t.maxLength||1e3,u=t.tubeSize||1,h=t.absoluteTubeSize,f=t.gridFill||\"+x+y+z\",p={};-1!==f.indexOf(\"-x\")&&(p.reversedX=!0),-1!==f.indexOf(\"-y\")&&(p.reversedY=!0),-1!==f.indexOf(\"-z\")&&(p.reversedZ=!0),p.filled=a.indexOf(f.replace(/-/g,\"\").replace(/\\+/g,\"\"));var d=t.getVelocity||function(e){return function(t,e,r){var i=e.vectors,a=e.meshgrid,l=t[0],c=t[1],u=t[2],h=a[0].length,f=a[1].length,p=a[2].length,d=o(a[0],l),m=o(a[1],c),g=o(a[2],u),y=d+1,v=m+1,x=g+1;if(d=s(d,0,h-1),y=s(y,0,h-1),m=s(m,0,f-1),v=s(v,0,f-1),g=s(g,0,p-1),x=s(x,0,p-1),d<0||m<0||g<0||y>h-1||v>f-1||x>p-1)return n.create();var _,b,w,T,k,A,M=a[0][d],S=a[0][y],E=a[1][m],C=a[1][v],L=a[2][g],I=(l-M)/(S-M),P=(c-E)/(C-E),z=(u-L)/(a[2][x]-L);switch(isFinite(I)||(I=.5),isFinite(P)||(P=.5),isFinite(z)||(z=.5),r.reversedX&&(d=h-1-d,y=h-1-y),r.reversedY&&(m=f-1-m,v=f-1-v),r.reversedZ&&(g=p-1-g,x=p-1-x),r.filled){case 5:k=g,A=x,w=m*p,T=v*p,_=d*p*f,b=y*p*f;break;case 4:k=g,A=x,_=d*p,b=y*p,w=m*p*h,T=v*p*h;break;case 3:w=m,T=v,k=g*f,A=x*f,_=d*f*p,b=y*f*p;break;case 2:w=m,T=v,_=d*f,b=y*f,k=g*f*h,A=x*f*h;break;case 1:_=d,b=y,k=g*h,A=x*h,w=m*h*p,T=v*h*p;break;default:_=d,b=y,w=m*h,T=v*h,k=g*h*f,A=x*h*f}var O=i[_+w+k],D=i[_+w+A],R=i[_+T+k],F=i[_+T+A],B=i[b+w+k],N=i[b+w+A],j=i[b+T+k],U=i[b+T+A],V=n.create(),q=n.create(),H=n.create(),G=n.create();n.lerp(V,O,B,I),n.lerp(q,D,N,I),n.lerp(H,R,j,I),n.lerp(G,F,U,I);var Z=n.create(),W=n.create();n.lerp(Z,V,H,P),n.lerp(W,q,G,P);var Y=n.create();return n.lerp(Y,Z,W,z),Y}(e,t,p)},m=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},g=[],y=e[0][0],v=e[0][1],x=e[0][2],_=e[1][0],b=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(e<y||e>_||r<v||r>b||n<x||n>w)},k=10*n.distance(e[0],e[1])/c,A=k*k,M=1,S=0,E=r.length;E>1&&(M=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,c=0;c<s;c++){var u=t[c],h=u[0],f=u[1],p=u[2];i[h]||(e.push(h),i[h]=!0),a[f]||(r.push(f),a[f]=!0),o[p]||(n.push(p),o[p]=!0)}var d=l(e),m=l(r),g=l(n),y=Math.min(d,m,g);return isFinite(y)?y:1}(r));for(var C=0;C<E;C++){var L=n.create();n.copy(L,r[C]);var I=[L],P=[],z=d(L),O=L;P.push(z);var D=[],R=m(L,z),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F),g.push({points:I,velocities:P,divergences:D});for(var B=0;B<100*c&&I.length<c&&T(L);){B++;var N=n.clone(z),j=n.squaredLength(N);if(0===j)break;j>A&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,L),z=d(N),n.squaredDistance(O,N)-A>-1e-4*A&&(I.push(N),O=N,P.push(z),R=m(N,z),F=n.length(R),isFinite(F)&&F>S&&(S=F),D.push(F)),L=N}}var U=function(t,e,r,a){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,c=0;c<l.length;c++)o=Math.max(o,n.length(l[c]));var u=t.map((function(t){return function(t,e,r,a){for(var o=t.points,s=t.velocities,l=t.divergences,c=[],u=[],h=[],f=[],p=[],d=[],m=0,g=0,y=i.create(),v=i.create(),x=0;x<o.length;x++){var _=o[x],b=s[x],w=l[x];0===e&&(w=.05*r),g=n.length(b)/a,y=i.create(),n.copy(y,b),y[3]=w;for(var T=0;T<8;T++)p[T]=[_[0],_[1],_[2],T];if(f.length>0)for(T=0;T<8;T++){var k=(T+1)%8;c.push(f[T],p[T],p[k],p[k],f[k],f[T]),h.push(v,y,y,y,v,v),d.push(m,g,g,g,m,m);var A=c.length;u.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=f;f=p,p=M;var S=v;v=y,y=S;var E=m;m=g,g=E}return{positions:c,cells:u,vectors:h,vertexIntensity:d}}(t,r,a,o)})),h=[],f=[],p=[],d=[];for(s=0;s<u.length;s++){var m=u[s],g=h.length;for(h=h.concat(m.positions),p=p.concat(m.vectors),d=d.concat(m.vertexIntensity),c=0;c<m.cells.length;c++){var y=m.cells[c],v=[];f.push(v);for(var x=0;x<y.length;x++)v.push(y[x]+g)}}return{positions:h,cells:f,vectors:p,vertexIntensity:d,colormap:e}}(g,t.colormap,S,M);return h?U.tubeScale=h:(0===S&&(S=1),U.tubeScale=.5*u*M/S),U};var c=r(6740),u=r(6405).createMesh;t.exports.createTubeMesh=function(t,e){return u(t,e,{shaders:c,traceType:\"streamtube\"})}},990:function(t,e,r){var n=r(9405),i=r(3236),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\nuniform vec3 objectOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 lightPosition, eyePosition;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 localCoordinate = vec3(uv.zw, f.x);\\n  worldCoordinate = objectOffset + localCoordinate;\\n  mat4 objectOffsetTranslation = mat4(1.0) + mat4(vec4(0), vec4(0), vec4(0), vec4(objectOffset, 0));\\n  vec4 worldPosition = (model * objectOffsetTranslation) * vec4(localCoordinate, 1.0);\\n  vec4 clipPosition = projection * (view * worldPosition);\\n  gl_Position = clipPosition;\\n  kill = f.y;\\n  value = f.z;\\n  planeCoordinate = uv.xy;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * worldPosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  lightDirection = lightPosition - cameraCoordinate.xyz;\\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\\n}\\n\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat beckmannSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness) {\\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 lowerBound, upperBound;\\nuniform float contourTint;\\nuniform vec4 contourColor;\\nuniform sampler2D colormap;\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform float vertexColor;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  if (\\n    kill > 0.0 ||\\n    vColor.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\\n  ) discard;\\n\\n  vec3 N = normalize(surfaceNormal);\\n  vec3 V = normalize(eyeDirection);\\n  vec3 L = normalize(lightDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  //decide how to interpolate color — in vertex or in fragment\\n  vec4 surfaceColor =\\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\\n    step(.5, vertexColor) * vColor;\\n\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\\n}\\n\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\nuniform vec3 objectOffset;\\nuniform mat3 permutation;\\nuniform mat4 model, view, projection;\\nuniform float height, zOffset;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\\n  worldCoordinate = objectOffset + dataCoordinate;\\n  mat4 objectOffsetTranslation = mat4(1.0) + mat4(vec4(0), vec4(0), vec4(0), vec4(objectOffset, 0));\\n  vec4 worldPosition = (model * objectOffsetTranslation) * vec4(dataCoordinate, 1.0);\\n\\n  vec4 clipPosition = projection * (view * worldPosition);\\n  clipPosition.z += zOffset;\\n\\n  gl_Position = clipPosition;\\n  value = f + objectOffset.z;\\n  kill = -1.0;\\n  planeCoordinate = uv.zw;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Don't do lighting for contours\\n  surfaceNormal   = vec3(1,0,0);\\n  eyeDirection    = vec3(0,1,0);\\n  lightDirection  = vec3(0,0,1);\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec2 shape;\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 surfaceNormal;\\n\\nvec2 splitFloat(float v) {\\n  float vh = 255.0 * v;\\n  float upper = floor(vh);\\n  float lower = fract(vh);\\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\\n}\\n\\nvoid main() {\\n  if ((kill > 0.0) ||\\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\n\\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\\n}\\n\"]);e.createShader=function(t){var e=n(t,a,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createPickShader=function(t){var e=n(t,a,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createContourShader=function(t){var e=n(t,s,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},e.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},9499:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl,r=v(e),n=_(e),s=x(e),l=b(e),c=i(e),u=a(e,[{buffer:c,size:4,stride:w,offset:0},{buffer:c,size:3,stride:w,offset:16},{buffer:c,size:3,stride:w,offset:28}]),h=i(e),f=a(e,[{buffer:h,size:4,stride:20,offset:0},{buffer:h,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),m=o(e,1,S,e.RGBA,e.UNSIGNED_BYTE);m.minFilter=e.LINEAR,m.magFilter=e.LINEAR;var g=new E(e,[0,0],[[0,0,0],[0,0,0]],r,n,c,u,m,s,l,h,f,p,d,[0,0,0]),y={levels:[[],[],[]]};for(var T in t)y[T]=t[T];return y.colormap=y.colormap||\"jet\",g.update(y),g};var n=r(8828),i=r(2762),a=r(8116),o=r(7766),s=r(1888),l=r(6729),c=r(5298),u=r(9994),h=r(9618),f=r(3711),p=r(6760),d=r(7608),m=r(2478),g=r(6199),y=r(990),v=y.createShader,x=y.createContourShader,_=y.createPickShader,b=y.createPickContourShader,w=40,T=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],k=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],A=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function M(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t<3;++t){var e=A[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();var S=256;function E(t,e,r,n,i,a,o,l,c,u,f,p,d,m,g){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=g,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=c,this._contourPickShader=u,this._contourBuffer=f,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new M([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=m,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[h(s.mallocFloat(1024),[0,0]),h(s.mallocFloat(1024),[0,0]),h(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var C=E.prototype;C.genColormap=function(t,e){var r=!1,n=u([l({colormap:t,nshades:S,format:\"rgba\"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return c.divseq(n,255),this.hasAlphaScale=r,n},C.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},C.isOpaque=function(){return!this.isTransparent()},C.pickSlots=1,C.setPickBase=function(t){this.pickId=t};var L=[0,0,0],I={showSurface:!1,showContour:!1,projections:[T.slice(),T.slice(),T.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function P(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||L,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=I.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var c=I.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)c[i][n]=t.clipBounds[i][n];c[0][r]=-1e8,c[1][r]=1e8}return I.showSurface=o,I.showContour=s,I}var z={model:T,view:T,projection:T,inverseModel:T.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},O=T.slice(),D=[1,0,0,0,1,0,0,0,1];function R(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=z;n.model=t.model||T,n.view=t.view||T,n.projection=t.projection||T,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=D,n.vertexColor=this.vertexColor;var s=O;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var c=s[12+i];for(o=0;o<3;++o)c+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=c/l}var u=P(n,this);if(u.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=u.projections[i],this._shader.uniforms.clipBounds=u.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(u.showContour){var h=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,h.bind(),h.uniforms=n;var f=this._contourVAO;for(f.bind(),i=0;i<3;++i)for(h.uniforms.permutation=A[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o<this.contourLevels[i].length;++o)o===this.highlightLevel[i]?(h.uniforms.contourColor=this.highlightColor[i],h.uniforms.contourTint=this.highlightTint[i]):0!==o&&o-1!==this.highlightLevel[i]||(h.uniforms.contourColor=this.contourColor[i],h.uniforms.contourTint=this.contourTint[i]),this._contourCounts[i][o]&&(h.uniforms.height=this.contourLevels[i][o],f.draw(r.LINES,this._contourCounts[i][o],this._contourOffsets[i][o]));for(i=0;i<3;++i)for(h.uniforms.model=u.projections[i],h.uniforms.clipBounds=u.clipBounds[i],o=0;o<3;++o)if(this.contourProject[i][o]){h.uniforms.permutation=A[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var m=0;m<this.contourLevels[o].length;++m)m===this.highlightLevel[o]?(h.uniforms.contourColor=this.highlightColor[o],h.uniforms.contourTint=this.highlightTint[o]):0!==m&&m-1!==this.highlightLevel[o]||(h.uniforms.contourColor=this.contourColor[o],h.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][m]&&(h.uniforms.height=this.contourLevels[o][m],f.draw(r.LINES,this._contourCounts[o][m],this._contourOffsets[o][m]))}for(f.unbind(),(f=this._dynamicVAO).bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(h.uniforms.model=n.model,h.uniforms.clipBounds=n.clipBounds,h.uniforms.permutation=A[i],r.lineWidth(this.dynamicWidth[i]*this.pixelRatio),h.uniforms.contourColor=this.dynamicColor[i],h.uniforms.contourTint=this.dynamicTint[i],h.uniforms.height=this.dynamicLevel[i],f.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),o=0;o<3;++o)this.contourProject[o][i]&&(h.uniforms.model=u.projections[o],h.uniforms.clipBounds=u.clipBounds[o],f.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));f.unbind()}}C.draw=function(t){return R.call(this,t,!1)},C.drawTransparent=function(t){return R.call(this,t,!0)};var F={model:T,view:T,projection:T,inverseModel:T,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function B(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function N(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function j(t){if(Array.isArray(t)){if(Array.isArray(t))return[N(t[0]),N(t[1]),N(t[2])];var e=N(t);return[e.slice(),e.slice(),e.slice()]}}C.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=F;r.model=t.model||T,r.view=t.view||T,r.projection=t.projection||T,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=D;for(var n=0;n<2;++n)for(var i=r.clipBounds[n],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var o=P(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]*this.pixelRatio),s.uniforms.permutation=A[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(s.uniforms.height=this.contourLevels[a][n],l.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){s.uniforms.permutation=A[a],e.lineWidth(this.contourWidth[a]*this.pixelRatio);for(var c=0;c<this.contourLevels[a].length;++c)this._contourCounts[a][c]&&(s.uniforms.height=this.contourLevels[a][c],l.draw(e.LINES,this._contourCounts[a][c],this._contourOffsets[a][c]))}l.unbind()}},C.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var c=r.position;c[0]=c[1]=c[2]=0;for(var u=0;u<2;++u)for(var h=u?a:1-a,f=0;f<2;++f)for(var p=i+u,d=s+f,g=h*(f?l:1-l),y=0;y<3;++y)c[y]+=this._field[y].get(p,d)*g;for(var v=this._pickResult.level,x=0;x<3;++x)if(v[x]=m.le(this.contourLevels[x],c[x]),v[x]<0)this.contourLevels[x].length>0&&(v[x]=0);else if(v[x]<this.contourLevels[x].length-1){var _=this.contourLevels[x][v[x]],b=this.contourLevels[x][v[x]+1];Math.abs(_-c[x])>Math.abs(b-c[x])&&(v[x]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],y=0;y<3;++y)r.dataCoordinate[y]=this._field[y].get(r.index[0],r.index[1]);return r},C.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();c.assign(t.lo(1,1).hi(r[0],r[1]),e),c.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),c.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),c.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),c.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},C.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=B(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=B(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=B(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=j(t.contourColor)),\"contourProject\"in t&&(this.contourProject=B(t.contourProject,(function(t){return B(t,Boolean)}))),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=j(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=B(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=B(t.dynamicWidth,Number)),\"opacity\"in t&&(this.opacity=t.opacity),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0),\"colormap\"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),\"field\"in t||\"coords\"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=h(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=h(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var c=l[o];for(y=0;y<2;++y)if(c.shape[y]!==a[y])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[o],c)}}else if(t.ticks){var u=t.ticks;if(!Array.isArray(u)||2!==u.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var p=u[o];if((Array.isArray(p)||p.length)&&(p=h(p)),p.shape[0]!==a[o])throw new Error(\"gl-surface: invalid tick length\");var d=h(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var m=[0,0];m[o]=1,this._field[o]=h(this._field[o].data,[a[0]+2,a[1]+2],m,0)}this._field[0].set(0,0,0);for(var y=0;y<a[0];++y)this._field[0].set(y+1,0,y);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),y=0;y<a[1];++y)this._field[1].set(0,y+1,y);this._field[1].set(0,a[1]+1,a[1]-1)}var v=this._field,x=h(s.mallocFloat(3*v[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)g(x.pick(o),v[o],\"mirror\");var _=h(s.mallocFloat(3*v[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(y=0;y<a[1]+2;++y){var b=x.get(0,o,y,0),w=x.get(0,o,y,1),T=x.get(1,o,y,0),A=x.get(1,o,y,1),M=x.get(2,o,y,0),S=x.get(2,o,y,1),E=T*S-A*M,C=M*w-S*b,L=b*A-w*T,I=Math.sqrt(E*E+C*C+L*L);I<1e-8?(I=Math.max(Math.abs(E),Math.abs(C),Math.abs(L)))<1e-8?(L=1,C=E=0,I=1):I=1/I:I=1/Math.sqrt(I),_.set(o,y,0,E*I),_.set(o,y,1,C*I),_.set(o,y,2,L*I)}s.free(x.data);var P=[1/0,1/0,1/0],z=[-1/0,-1/0,-1/0],O=1/0,D=-1/0,R=(a[0]-1)*(a[1]-1)*6,F=s.mallocFloat(n.nextPow2(10*R)),N=0,U=0;for(o=0;o<a[0]-1;++o)t:for(y=0;y<a[1]-1;++y){for(var V=0;V<2;++V)for(var q=0;q<2;++q)for(var H=0;H<3;++H){var G=this._field[H].get(1+o+V,1+y+q);if(isNaN(G)||!isFinite(G))continue t}for(H=0;H<6;++H){var Z=o+k[H][0],W=y+k[H][1],Y=this._field[0].get(Z+1,W+1),X=this._field[1].get(Z+1,W+1);G=this._field[2].get(Z+1,W+1),E=_.get(Z+1,W+1,0),C=_.get(Z+1,W+1,1),L=_.get(Z+1,W+1,2),t.intensity&&($=t.intensity.get(Z,W));var $=t.intensity?t.intensity.get(Z,W):G+this.objectOffset[2];F[N++]=Z,F[N++]=W,F[N++]=Y,F[N++]=X,F[N++]=G,F[N++]=0,F[N++]=$,F[N++]=E,F[N++]=C,F[N++]=L,P[0]=Math.min(P[0],Y+this.objectOffset[0]),P[1]=Math.min(P[1],X+this.objectOffset[1]),P[2]=Math.min(P[2],G+this.objectOffset[2]),O=Math.min(O,$),z[0]=Math.max(z[0],Y+this.objectOffset[0]),z[1]=Math.max(z[1],X+this.objectOffset[1]),z[2]=Math.max(z[2],G+this.objectOffset[2]),D=Math.max(D,$),U+=1}}for(t.intensityBounds&&(O=+t.intensityBounds[0],D=+t.intensityBounds[1]),o=6;o<N;o+=10)F[o]=(F[o]-O)/(D-O);this._vertexCount=U,this._coordinateBuffer.update(F.subarray(0,N)),s.freeFloat(F),s.free(_.data),this.bounds=[P,z],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===O&&this.intensityBounds[1]===D||(r=!0),this.intensityBounds=[O,D]}if(\"levels\"in t){var J=t.levels;for(J=Array.isArray(J[0])?J.slice():[[],[],J],o=0;o<3;++o)J[o]=J[o].slice(),J[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(y=0;y<J[o].length;++y)J[o][y]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(J[o].length!==this.contourLevels[o].length){r=!0;break}for(y=0;y<J[o].length;++y)if(J[o][y]!==this.contourLevels[o][y]){r=!0;break t}}this.contourLevels=J}if(r){v=this._field,a=this.shape;for(var K=[],Q=0;Q<3;++Q){var tt=this.contourLevels[Q],et=[],rt=[],nt=[0,0,0];for(o=0;o<tt.length;++o){var it=f(this._field[Q],tt[o]);et.push(K.length/5|0),U=0;t:for(y=0;y<it.cells.length;++y){var at=it.cells[y];for(H=0;H<2;++H){var ot=it.positions[at[H]],st=ot[0],lt=0|Math.floor(st),ct=st-lt,ut=ot[1],ht=0|Math.floor(ut),ft=ut-ht,pt=!1;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var mt=(Q+dt+1)%3;for(V=0;V<2;++V){var gt=V?ct:1-ct;for(Z=0|Math.min(Math.max(lt+V,0),a[0]),q=0;q<2;++q){var yt=q?ft:1-ft;if(W=0|Math.min(Math.max(ht+q,0),a[1]),G=dt<2?this._field[mt].get(Z,W):(this.intensity.get(Z,W)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(G)||isNaN(G)){pt=!0;break e}var vt=gt*yt;nt[dt]+=vt*G}}}if(pt){if(H>0){for(var xt=0;xt<5;++xt)K.pop();U-=1}continue t}K.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[Q]=et,this._contourCounts[Q]=rt}var _t=s.mallocFloat(K.length);for(o=0;o<K.length;++o)_t[o]=K[o];this._contourBuffer.update(_t),s.freeFloat(_t)}},C.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},C.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,c=(o+2)%3,u=this._field[o],h=this._field[l],p=this._field[c],d=f(u,r[o]),m=d.cells,g=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<m.length;++e)for(var y=m[e],v=0;v<2;++v){var x=g[y[v]],_=+x[0],b=0|_,w=0|Math.min(b+1,i[0]),T=_-b,k=1-T,A=+x[1],M=0|A,S=0|Math.min(M+1,i[1]),E=A-M,C=1-E,L=k*C,I=k*E,P=T*C,z=T*E,O=L*h.get(b,M)+I*h.get(b,S)+P*h.get(w,M)+z*h.get(w,S),D=L*p.get(b,M)+I*p.get(b,S)+P*p.get(w,M)+z*p.get(w,S);if(isNaN(O)||isNaN(D)){v&&(n-=1);break}a[2*n+0]=O,a[2*n+1]=D,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),s.freeFloat(a)}}},7766:function(t,e,r){\"use strict\";var n=r(9618),i=r(5298),a=r(1888);t.exports=function(t){if(arguments.length<=1)throw new Error(\"gl-texture2d: Missing arguments for texture2d constructor\");if(o||function(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}(t),\"number\"==typeof arguments[1])return g(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return g(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(\"object\"==typeof arguments[1]){var e=arguments[1],r=c(e)?e:e.raw;if(r)return function(t,e,r,n,i,a){var o=m(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new f(t,o,r,n,i,a)}(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return function(t,e){var r=e.dtype,o=e.shape.slice(),s=t.getParameter(t.MAX_TEXTURE_SIZE);if(o[0]<0||o[0]>s||o[1]<0||o[1]>s)throw new Error(\"gl-texture2d: Invalid texture size\");var l=d(o,e.stride.slice()),c=0;\"float32\"===r?c=t.FLOAT:\"float64\"===r?(c=t.FLOAT,l=!1,r=\"float32\"):\"uint8\"===r?c=t.UNSIGNED_BYTE:(c=t.UNSIGNED_BYTE,l=!1,r=\"uint8\");var h,p,g=0;if(2===o.length)g=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===o[2])g=t.ALPHA;else if(2===o[2])g=t.LUMINANCE_ALPHA;else if(3===o[2])g=t.RGB;else{if(4!==o[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");g=t.RGBA}}c!==t.FLOAT||t.getExtension(\"OES_texture_float\")||(c=t.UNSIGNED_BYTE,l=!1);var y=e.size;if(l)h=0===e.offset&&e.data.length===y?e.data:e.data.subarray(e.offset,e.offset+y);else{var v=[o[2],o[2]*o[0],1];p=a.malloc(y,r);var x=n(p,o,v,0);\"float32\"!==r&&\"float64\"!==r||c!==t.UNSIGNED_BYTE?i.assign(x,e):u(x,e),h=p.subarray(0,y)}var _=m(t);return t.texImage2D(t.TEXTURE_2D,0,g,o[0],o[1],0,g,c,h),l||a.free(p),new f(t,_,o[0],o[1],g,c)}(t,e)}throw new Error(\"gl-texture2d: Invalid arguments for texture2d constructor\")};var o=null,s=null,l=null;function c(t){return\"undefined\"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||\"undefined\"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||\"undefined\"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||\"undefined\"!=typeof ImageData&&t instanceof ImageData}var u=function(t,e){i.muls(t,e,255)};function h(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture size\");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function f(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var p=f.prototype;function d(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function m(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function g(t,e,r,n,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error(\"gl-texture2d: Invalid texture shape\");if(i===t.FLOAT&&!t.getExtension(\"OES_texture_float\"))throw new Error(\"gl-texture2d: Floating point textures not supported on this platform\");var o=m(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new f(t,o,e,r,n,i)}Object.defineProperties(p,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension(\"EXT_texture_filter_anisotropic\");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error(\"gl-texture2d: Must specify wrap mode for rows and columns\");for(var e=0;e<2;++e)if(l.indexOf(t[e])<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);this._wrapS=t[0],this._wrapT=t[1];var r=this.gl;return this.bind(),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_S,this._wrapS),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_T,this._wrapT),t}},shape:{get:function(){return this._shapeVector},set:function(t){if(Array.isArray(t)){if(2!==t.length)throw new Error(\"gl-texture2d: Invalid texture shape\")}else t=[0|t,0|t];return h(this,0|t[0],0|t[1]),[0|t[0],0|t[1]]}},width:{get:function(){return this._shape[0]},set:function(t){return h(this,t|=0,this._shape[1]),t}},height:{get:function(){return this._shape[1]},set:function(t){return t|=0,h(this,this._shape[0],t),t}}}),p.bind=function(t){var e=this.gl;return void 0!==t&&e.activeTexture(e.TEXTURE0+(0|t)),e.bindTexture(e.TEXTURE_2D,this.handle),void 0!==t?0|t:e.getParameter(e.ACTIVE_TEXTURE)-e.TEXTURE0},p.dispose=function(){this.gl.deleteTexture(this.handle)},p.generateMipmap=function(){this.bind(),this.gl.generateMipmap(this.gl.TEXTURE_2D);for(var t=Math.min(this._shape[0],this._shape[1]),e=0;t>0;++e,t>>>=1)this._mipLevels.indexOf(e)<0&&this._mipLevels.push(e)},p.setPixels=function(t,e,r,o){var s=this.gl;this.bind(),Array.isArray(e)?(o=r,r=0|e[1],e=0|e[0]):(e=e||0,r=r||0),o=o||0;var l=c(t)?t:t.raw;if(l)this._mipLevels.indexOf(o)<0?(s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,this.type,l),this._mipLevels.push(o)):s.texSubImage2D(s.TEXTURE_2D,o,e,r,this.format,this.type,l);else{if(!(t.shape&&t.stride&&t.data))throw new Error(\"gl-texture2d: Unsupported data type\");if(t.shape.length<2||e+t.shape[1]>this._shape[1]>>>o||r+t.shape[0]>this._shape[0]>>>o||e<0||r<0)throw new Error(\"gl-texture2d: Texture dimensions are out of bounds\");!function(t,e,r,o,s,l,c,h){var f=h.dtype,p=h.shape.slice();if(p.length<2||p.length>3)throw new Error(\"gl-texture2d: Invalid ndarray, must be 2d or 3d\");var m=0,g=0,y=d(p,h.stride.slice());if(\"float32\"===f?m=t.FLOAT:\"float64\"===f?(m=t.FLOAT,y=!1,f=\"float32\"):\"uint8\"===f?m=t.UNSIGNED_BYTE:(m=t.UNSIGNED_BYTE,y=!1,f=\"uint8\"),2===p.length)g=t.LUMINANCE,p=[p[0],p[1],1],h=n(h.data,p,[h.stride[0],h.stride[1],1],h.offset);else{if(3!==p.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===p[2])g=t.ALPHA;else 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i=this.computedMatrix,a=(Math.exp(this.computedRadius[0]),i[1]),o=i[5],s=i[9],l=c(a,o,s);a/=l,o/=l,s/=l;var u=i[0],h=i[4],f=i[8],p=u*a+h*o+f*s,d=c(u-=a*p,h-=o*p,f-=s*p),m=(u/=d)*e+a*r,g=(h/=d)*e+o*r,y=(f/=d)*e+s*r;this.center.move(t,m,g,y);var v=Math.exp(this.computedRadius[0]);v=Math.max(1e-4,v+n),this.radius.set(t,Math.log(v))},p.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},p.setMatrix=function(t,e,r,n){var a=1;\"number\"==typeof r&&(a=0|r),(a<0||a>3)&&(a=1);var o=(a+2)%3;e||(this.recalcMatrix(t),e=this.computedMatrix);var s=e[a],l=e[a+4],h=e[a+8];if(n){var f=Math.abs(s),p=Math.abs(l),d=Math.abs(h),m=Math.max(f,p,d);f===m?(s=s<0?-1:1,l=h=0):d===m?(h=h<0?-1:1,s=l=0):(l=l<0?-1:1,s=h=0)}else{var g=c(s,l,h);s/=g,l/=g,h/=g}var y,v,x=e[o],_=e[o+4],b=e[o+8],w=x*s+_*l+b*h,T=c(x-=s*w,_-=l*w,b-=h*w),k=l*(b/=T)-h*(_/=T),A=h*(x/=T)-s*b,M=s*_-l*x,S=c(k,A,M);if(k/=S,A/=S,M/=S,this.center.jump(t,H,G,Z),this.radius.idle(t),this.up.jump(t,s,l,h),this.right.jump(t,x,_,b),2===a){var 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e=0,r=this.outputs;e<r.length;e+=1)t(r[e])},tr.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},tr.prototype.serialize=function(){for(var t=[\"step\",this.input.serialize()],e=0;e<this.labels.length;e++)e>0&&t.push(this.labels[e]),t.push(this.outputs[e].serialize());return t};var rr=Object.freeze({__proto__:null,number:er,color:function(t,e,r){return new ce(er(t.r,e.r,r),er(t.g,e.g,r),er(t.b,e.b,r),er(t.a,e.a,r))},array:function(t,e,r){return t.map((function(t,n){return er(t,e[n],r)}))}}),nr=.95047,ir=1,ar=1.08883,or=4/29,sr=6/29,lr=3*sr*sr,cr=sr*sr*sr,ur=Math.PI/180,hr=180/Math.PI;function fr(t){return t>cr?Math.pow(t,1/3):t/lr+or}function pr(t){return t>sr?t*t*t:lr*(t-or)}function dr(t){return 255*(t<=.0031308?12.92*t:1.055*Math.pow(t,1/2.4)-.055)}function mr(t){return(t/=255)<=.04045?t/12.92:Math.pow((t+.055)/1.055,2.4)}function gr(t){var e=mr(t.r),r=mr(t.g),n=mr(t.b),i=fr((.4124564*e+.3575761*r+.1804375*n)/nr),a=fr((.2126729*e+.7151522*r+.072175*n)/ir);return{l:116*a-16,a:500*(i-a),b:200*(a-fr((.0193339*e+.119192*r+.9503041*n)/ar)),alpha:t.a}}function yr(t){var e=(t.l+16)/116,r=isNaN(t.a)?e:e+t.a/500,n=isNaN(t.b)?e:e-t.b/200;return e=ir*pr(e),r=nr*pr(r),n=ar*pr(n),new ce(dr(3.2404542*r-1.5371385*e-.4985314*n),dr(-.969266*r+1.8760108*e+.041556*n),dr(.0556434*r-.2040259*e+1.0572252*n),t.alpha)}function vr(t,e,r){var n=e-t;return t+r*(n>180||n<-180?n-360*Math.round(n/360):n)}var xr={forward:gr,reverse:yr,interpolate:function(t,e,r){return{l:er(t.l,e.l,r),a:er(t.a,e.a,r),b:er(t.b,e.b,r),alpha:er(t.alpha,e.alpha,r)}}},_r={forward:function(t){var e=gr(t),r=e.l,n=e.a,i=e.b,a=Math.atan2(i,n)*hr;return{h:a<0?a+360:a,c:Math.sqrt(n*n+i*i),l:r,alpha:t.a}},reverse:function(t){var e=t.h*ur,r=t.c;return 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a=Qe(e,n),o=e[a],s=e[a+1],l=wr.interpolationFactor(this.interpolation,n,o,s),c=r[a].evaluate(t),u=r[a+1].evaluate(t);return\"interpolate\"===this.operator?rr[this.type.kind.toLowerCase()](c,u,l):\"interpolate-hcl\"===this.operator?_r.reverse(_r.interpolate(_r.forward(c),_r.forward(u),l)):xr.reverse(xr.interpolate(xr.forward(c),xr.forward(u),l))},wr.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1)t(r[e])},wr.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},wr.prototype.serialize=function(){var t;t=\"linear\"===this.interpolation.name?[\"linear\"]:\"exponential\"===this.interpolation.name?1===this.interpolation.base?[\"linear\"]:[\"exponential\",this.interpolation.base]:[\"cubic-bezier\"].concat(this.interpolation.controlPoints);for(var e=[this.operator,t,this.input.serialize()],r=0;r<this.labels.length;r++)e.push(this.labels[r],this.outputs[r].serialize());return e};var kr=function(t,e){this.type=t,this.args=e};kr.parse=function(t,e){if(t.length<2)return e.error(\"Expectected at least one argument.\");var r=null,n=e.expectedType;n&&\"value\"!==n.kind&&(r=n);for(var i=[],a=0,o=t.slice(1);a<o.length;a+=1){var s=o[a],l=e.parse(s,1+i.length,r,void 0,{typeAnnotation:\"omit\"});if(!l)return null;r=r||l.type,i.push(l)}var c=n&&i.some((function(t){return ie(n,t.type)}));return new kr(c?Jt:r,i)},kr.prototype.evaluate=function(t){for(var e,r=null,n=0,i=0,a=this.args;i<a.length&&(n++,(r=a[i].evaluate(t))&&r instanceof pe&&!r.available&&(e||(e=r.name),r=null,n===this.args.length&&(r=e)),null===r);i+=1);return r},kr.prototype.eachChild=function(t){this.args.forEach(t)},kr.prototype.outputDefined=function(){return this.args.every((function(t){return t.outputDefined()}))},kr.prototype.serialize=function(){var t=[\"coalesce\"];return this.eachChild((function(e){t.push(e.serialize())})),t};var Ar=function(t,e){this.type=e.type,this.bindings=[].concat(t),this.result=e};Ar.prototype.evaluate=function(t){return this.result.evaluate(t)},Ar.prototype.eachChild=function(t){for(var e=0,r=this.bindings;e<r.length;e+=1)t(r[e][1]);t(this.result)},Ar.parse=function(t,e){if(t.length<4)return e.error(\"Expected at least 3 arguments, but found \"+(t.length-1)+\" instead.\");for(var r=[],n=1;n<t.length-1;n+=2){var i=t[n];if(\"string\"!=typeof i)return e.error(\"Expected string, but found \"+typeof i+\" instead.\",n);if(/[^a-zA-Z0-9_]/.test(i))return e.error(\"Variable names must contain only alphanumeric characters or '_'.\",n);var a=e.parse(t[n+1],n+1);if(!a)return null;r.push([i,a])}var o=e.parse(t[t.length-1],t.length-1,e.expectedType,r);return o?new Ar(r,o):null},Ar.prototype.outputDefined=function(){return this.result.outputDefined()},Ar.prototype.serialize=function(){for(var t=[\"let\"],e=0,r=this.bindings;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];t.push(i,a.serialize())}return t.push(this.result.serialize()),t};var Mr=function(t,e,r){this.type=t,this.index=e,this.input=r};Mr.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Zt),n=e.parse(t[2],2,ee(e.expectedType||Jt));if(!r||!n)return null;var i=n.type;return new Mr(i.itemType,r,n)},Mr.prototype.evaluate=function(t){var e=this.index.evaluate(t),r=this.input.evaluate(t);if(e<0)throw new xe(\"Array index out of bounds: \"+e+\" < 0.\");if(e>=r.length)throw new xe(\"Array index out of bounds: \"+e+\" > \"+(r.length-1)+\".\");if(e!==Math.floor(e))throw new xe(\"Array index must be an integer, but found \"+e+\" instead.\");return r[e]},Mr.prototype.eachChild=function(t){t(this.index),t(this.input)},Mr.prototype.outputDefined=function(){return!1},Mr.prototype.serialize=function(){return[\"at\",this.index.serialize(),this.input.serialize()]};var Sr=function(t,e){this.type=Yt,this.needle=t,this.haystack=e};Sr.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Jt),n=e.parse(t[2],2,Jt);return r&&n?ae(r.type,[Yt,Wt,Zt,Gt,Jt])?new Sr(r,n):e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+re(r.type)+\" instead\"):null},Sr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!r)return!1;if(!oe(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new xe(\"Expected first argument to be of type boolean, string, number or null, but found \"+re(ge(e))+\" instead.\");if(!oe(r,[\"string\",\"array\"]))throw new xe(\"Expected second argument to be of type array or string, but found \"+re(ge(r))+\" instead.\");return r.indexOf(e)>=0},Sr.prototype.eachChild=function(t){t(this.needle),t(this.haystack)},Sr.prototype.outputDefined=function(){return!0},Sr.prototype.serialize=function(){return[\"in\",this.needle.serialize(),this.haystack.serialize()]};var Er=function(t,e,r){this.type=Zt,this.needle=t,this.haystack=e,this.fromIndex=r};Er.parse=function(t,e){if(t.length<=2||t.length>=5)return e.error(\"Expected 3 or 4 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Jt),n=e.parse(t[2],2,Jt);if(!r||!n)return null;if(!ae(r.type,[Yt,Wt,Zt,Gt,Jt]))return e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+re(r.type)+\" instead\");if(4===t.length){var i=e.parse(t[3],3,Zt);return i?new Er(r,n,i):null}return new Er(r,n)},Er.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!oe(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new xe(\"Expected first argument to be of type boolean, string, number or null, but found \"+re(ge(e))+\" instead.\");if(!oe(r,[\"string\",\"array\"]))throw new xe(\"Expected second argument to be of type array or string, but found \"+re(ge(r))+\" instead.\");if(this.fromIndex){var n=this.fromIndex.evaluate(t);return r.indexOf(e,n)}return r.indexOf(e)},Er.prototype.eachChild=function(t){t(this.needle),t(this.haystack),this.fromIndex&&t(this.fromIndex)},Er.prototype.outputDefined=function(){return!1},Er.prototype.serialize=function(){if(null!=this.fromIndex&&void 0!==this.fromIndex){var t=this.fromIndex.serialize();return[\"index-of\",this.needle.serialize(),this.haystack.serialize(),t]}return[\"index-of\",this.needle.serialize(),this.haystack.serialize()]};var Cr=function(t,e,r,n,i,a){this.inputType=t,this.type=e,this.input=r,this.cases=n,this.outputs=i,this.otherwise=a};Cr.parse=function(t,e){if(t.length<5)return e.error(\"Expected at least 4 arguments, but found only \"+(t.length-1)+\".\");if(t.length%2!=1)return e.error(\"Expected an even number of 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t[0],t[1].outputDefined()}))&&this.otherwise.outputDefined()},Lr.prototype.serialize=function(){var t=[\"case\"];return this.eachChild((function(e){t.push(e.serialize())})),t};var Ir=function(t,e,r,n){this.type=t,this.input=e,this.beginIndex=r,this.endIndex=n};function Pr(t,e){return\"==\"===t||\"!=\"===t?\"boolean\"===e.kind||\"string\"===e.kind||\"number\"===e.kind||\"null\"===e.kind||\"value\"===e.kind:\"string\"===e.kind||\"number\"===e.kind||\"value\"===e.kind}function zr(t,e,r,n){return 0===n.compare(e,r)}function Or(t,e,r){var n=\"==\"!==t&&\"!=\"!==t;return function(){function i(t,e,r){this.type=Yt,this.lhs=t,this.rhs=e,this.collator=r,this.hasUntypedArgument=\"value\"===t.type.kind||\"value\"===e.type.kind}return i.parse=function(t,e){if(3!==t.length&&4!==t.length)return e.error(\"Expected two or three arguments.\");var r=t[0],a=e.parse(t[1],1,Jt);if(!a)return null;if(!Pr(r,a.type))return e.concat(1).error('\"'+r+\"\\\" comparisons are not supported for type 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Xr([new qt(\"\",\"data expressions not supported\")]);var i=Xe(r,[\"zoom\"]);if(!i&&!Jr(e))return Xr([new qt(\"\",\"zoom expressions not supported\")]);var a=gn(r);if(!a&&!i)return Xr([new qt(\"\",'\"zoom\" expression may only be used as input to a top-level \"step\" or \"interpolate\" expression.')]);if(a instanceof qt)return Xr([a]);if(a instanceof wr&&!Kr(e))return Xr([new qt(\"\",'\"interpolate\" expressions cannot be used with this property')]);if(!a)return Yr(new fn(n?\"constant\":\"source\",t.value));var o=a instanceof wr?a.interpolation:void 0;return Yr(new pn(n?\"camera\":\"composite\",t.value,a.labels,o))}pn.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)},pn.prototype.evaluate=function(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)},pn.prototype.interpolationFactor=function(t,e,r){return this.interpolationType?wr.interpolationFactor(this.interpolationType,t,e,r):0};var mn=function(t,e){this._parameters=t,this._specification=e,jt(this,rn(this._parameters,this._specification))};function gn(t){var e=null;if(t instanceof Ar)e=gn(t.result);else if(t instanceof kr)for(var r=0,n=t.args;r<n.length;r+=1){var i=n[r];if(e=gn(i))break}else(t instanceof tr||t instanceof wr)&&t.input instanceof Ee&&\"zoom\"===t.input.name&&(e=t);return e instanceof qt||t.eachChild((function(t){var r=gn(t);r instanceof qt?e=r:!e&&r?e=new qt(\"\",'\"zoom\" expression may only be used as input to a top-level \"step\" or \"interpolate\" expression.'):e&&r&&e!==r&&(e=new qt(\"\",'Only one zoom-based \"step\" or \"interpolate\" subexpression may be used in an expression.'))})),e}function yn(t){var e=t.key,r=t.value,n=t.valueSpec||{},i=t.objectElementValidators||{},a=t.style,o=t.styleSpec,s=[],l=Qr(r);if(\"object\"!==l)return[new Bt(e,r,\"object expected, \"+l+\" found\")];for(var c in r){var u=c.split(\".\")[0],h=n[u]||n[\"*\"],f=void 0;if(i[u])f=i[u];else if(n[u])f=Hn;else if(i[\"*\"])f=i[\"*\"];else{if(!n[\"*\"]){s.push(new Bt(e,r[c],'unknown property \"'+c+'\"'));continue}f=Hn}s=s.concat(f({key:(e?e+\".\":e)+c,value:r[c],valueSpec:h,style:a,styleSpec:o,object:r,objectKey:c},r))}for(var p in n)i[p]||n[p].required&&void 0===n[p].default&&void 0===r[p]&&s.push(new Bt(e,r,'missing required property \"'+p+'\"'));return s}function vn(t){var e=t.value,r=t.valueSpec,n=t.style,i=t.styleSpec,a=t.key,o=t.arrayElementValidator||Hn;if(\"array\"!==Qr(e))return[new Bt(a,e,\"array expected, \"+Qr(e)+\" found\")];if(r.length&&e.length!==r.length)return[new Bt(a,e,\"array length \"+r.length+\" expected, length \"+e.length+\" found\")];if(r[\"min-length\"]&&e.length<r[\"min-length\"])return[new Bt(a,e,\"array length at least \"+r[\"min-length\"]+\" expected, length \"+e.length+\" found\")];var s={type:r.value,values:r.values};i.$version<7&&(s.function=r.function),\"object\"===Qr(r.value)&&(s=r.value);for(var l=[],c=0;c<e.length;c++)l=l.concat(o({array:e,arrayIndex:c,value:e[c],valueSpec:s,style:n,styleSpec:i,key:a+\"[\"+c+\"]\"}));return l}function xn(t){var e=t.key,r=t.value,n=t.valueSpec,i=Qr(r);return\"number\"===i&&r!=r&&(i=\"NaN\"),\"number\"!==i?[new Bt(e,r,\"number expected, \"+i+\" found\")]:\"minimum\"in n&&r<n.minimum?[new Bt(e,r,r+\" is less than the minimum value \"+n.minimum)]:\"maximum\"in n&&r>n.maximum?[new Bt(e,r,r+\" is greater than the maximum value \"+n.maximum)]:[]}function _n(t){var e,r,n,i=t.valueSpec,a=Ut(t.value.type),o={},s=\"categorical\"!==a&&void 0===t.value.property,l=!s,c=\"array\"===Qr(t.value.stops)&&\"array\"===Qr(t.value.stops[0])&&\"object\"===Qr(t.value.stops[0][0]),u=yn({key:t.key,value:t.value,valueSpec:t.styleSpec.function,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{stops:function(t){if(\"identity\"===a)return[new Bt(t.key,t.value,'identity function may not have a \"stops\" property')];var e=[],r=t.value;return e=e.concat(vn({key:t.key,value:r,valueSpec:t.valueSpec,style:t.style,styleSpec:t.styleSpec,arrayElementValidator:h})),\"array\"===Qr(r)&&0===r.length&&e.push(new Bt(t.key,r,\"array must have at least one stop\")),e},default:function(t){return Hn({key:t.key,value:t.value,valueSpec:i,style:t.style,styleSpec:t.styleSpec})}}});return\"identity\"===a&&s&&u.push(new Bt(t.key,t.value,'missing required property \"property\"')),\"identity\"===a||t.value.stops||u.push(new Bt(t.key,t.value,'missing required property \"stops\"')),\"exponential\"===a&&t.valueSpec.expression&&!Kr(t.valueSpec)&&u.push(new Bt(t.key,t.value,\"exponential functions not supported\")),t.styleSpec.$version>=8&&(l&&!$r(t.valueSpec)?u.push(new Bt(t.key,t.value,\"property functions not supported\")):s&&!Jr(t.valueSpec)&&u.push(new Bt(t.key,t.value,\"zoom functions not supported\"))),\"categorical\"!==a&&!c||void 0!==t.value.property||u.push(new Bt(t.key,t.value,'\"property\" property is required')),u;function h(t){var e=[],a=t.value,s=t.key;if(\"array\"!==Qr(a))return[new Bt(s,a,\"array expected, \"+Qr(a)+\" found\")];if(2!==a.length)return[new Bt(s,a,\"array length 2 expected, length \"+a.length+\" found\")];if(c){if(\"object\"!==Qr(a[0]))return[new Bt(s,a,\"object expected, \"+Qr(a[0])+\" found\")];if(void 0===a[0].zoom)return[new Bt(s,a,\"object stop key must have zoom\")];if(void 0===a[0].value)return[new Bt(s,a,\"object stop key must have value\")];if(n&&n>Ut(a[0].zoom))return[new Bt(s,a[0].zoom,\"stop zoom values must appear in ascending order\")];Ut(a[0].zoom)!==n&&(n=Ut(a[0].zoom),r=void 0,o={}),e=e.concat(yn({key:s+\"[0]\",value:a[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:xn,value:f}}))}else e=e.concat(f({key:s+\"[0]\",value:a[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},a));return un(Vt(a[1]))?e.concat([new Bt(s+\"[1]\",a[1],\"expressions are not allowed in function stops.\")]):e.concat(Hn({key:s+\"[1]\",value:a[1],valueSpec:i,style:t.style,styleSpec:t.styleSpec}))}function f(t,n){var s=Qr(t.value),l=Ut(t.value),c=null!==t.value?t.value:n;if(e){if(s!==e)return[new Bt(t.key,c,s+\" stop domain type must match previous stop domain type \"+e)]}else e=s;if(\"number\"!==s&&\"string\"!==s&&\"boolean\"!==s)return[new Bt(t.key,c,\"stop domain value must be a number, string, or boolean\")];if(\"number\"!==s&&\"categorical\"!==a){var u=\"number expected, \"+s+\" found\";return $r(i)&&void 0===a&&(u+='\\nIf you intended to use a categorical function, specify `\"type\": \"categorical\"`.'),[new Bt(t.key,c,u)]}return\"categorical\"!==a||\"number\"!==s||isFinite(l)&&Math.floor(l)===l?\"categorical\"!==a&&\"number\"===s&&void 0!==r&&l<r?[new Bt(t.key,c,\"stop domain values must appear in ascending order\")]:(r=l,\"categorical\"===a&&l in o?[new Bt(t.key,c,\"stop domain values must be unique\")]:(o[l]=!0,[])):[new Bt(t.key,c,\"integer expected, found \"+l)]}}function bn(t){var e=(\"property\"===t.expressionContext?dn:hn)(Vt(t.value),t.valueSpec);if(\"error\"===e.result)return e.value.map((function(e){return new Bt(\"\"+t.key+e.key,t.value,e.message)}));var r=e.value.expression||e.value._styleExpression.expression;if(\"property\"===t.expressionContext&&\"text-font\"===t.propertyKey&&!r.outputDefined())return[new Bt(t.key,t.value,'Invalid data expression for \"'+t.propertyKey+'\". Output values must be contained as literals within the expression.')];if(\"property\"===t.expressionContext&&\"layout\"===t.propertyType&&!Ye(r))return[new Bt(t.key,t.value,'\"feature-state\" data expressions are not supported with layout properties.')];if(\"filter\"===t.expressionContext&&!Ye(r))return[new Bt(t.key,t.value,'\"feature-state\" data expressions are not supported with filters.')];if(t.expressionContext&&0===t.expressionContext.indexOf(\"cluster\")){if(!Xe(r,[\"zoom\",\"feature-state\"]))return[new Bt(t.key,t.value,'\"zoom\" and \"feature-state\" expressions are not supported with cluster properties.')];if(\"cluster-initial\"===t.expressionContext&&!We(r))return[new Bt(t.key,t.value,\"Feature data expressions are not supported with initial expression part of cluster properties.\")]}return[]}function wn(t){var e=t.key,r=t.value,n=t.valueSpec,i=[];return Array.isArray(n.values)?-1===n.values.indexOf(Ut(r))&&i.push(new Bt(e,r,\"expected one of [\"+n.values.join(\", \")+\"], \"+JSON.stringify(r)+\" found\")):-1===Object.keys(n.values).indexOf(Ut(r))&&i.push(new Bt(e,r,\"expected one of [\"+Object.keys(n.values).join(\", \")+\"], \"+JSON.stringify(r)+\" found\")),i}function Tn(t){if(!0===t||!1===t)return!0;if(!Array.isArray(t)||0===t.length)return!1;switch(t[0]){case\"has\":return t.length>=2&&\"$id\"!==t[1]&&\"$type\"!==t[1];case\"in\":return t.length>=3&&(\"string\"!=typeof t[1]||Array.isArray(t[2]));case\"!in\":case\"!has\":case\"none\":return!1;case\"==\":case\"!=\":case\">\":case\">=\":case\"<\":case\"<=\":return 3!==t.length||Array.isArray(t[1])||Array.isArray(t[2]);case\"any\":case\"all\":for(var e=0,r=t.slice(1);e<r.length;e+=1){var n=r[e];if(!Tn(n)&&\"boolean\"!=typeof n)return!1}return!0;default:return!0}}mn.deserialize=function(t){return new mn(t._parameters,t._specification)},mn.serialize=function(t){return{_parameters:t._parameters,_specification:t._specification}};var kn={type:\"boolean\",default:!1,transition:!1,\"property-type\":\"data-driven\",expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]}};function An(t){if(null==t)return{filter:function(){return!0},needGeometry:!1};Tn(t)||(t=En(t));var e=hn(t,kn);if(\"error\"===e.result)throw new Error(e.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return{filter:function(t,r,n){return e.value.evaluate(t,r,{},n)},needGeometry:Sn(t)}}function Mn(t,e){return t<e?-1:t>e?1:0}function Sn(t){if(!Array.isArray(t))return!1;if(\"within\"===t[0])return!0;for(var e=1;e<t.length;e++)if(Sn(t[e]))return!0;return!1}function En(t){if(!t)return!0;var e,r=t[0];return t.length<=1?\"any\"!==r:\"==\"===r?Cn(t[1],t[2],\"==\"):\"!=\"===r?Pn(Cn(t[1],t[2],\"==\")):\"<\"===r||\">\"===r||\"<=\"===r||\">=\"===r?Cn(t[1],t[2],r):\"any\"===r?(e=t.slice(1),[\"any\"].concat(e.map(En))):\"all\"===r?[\"all\"].concat(t.slice(1).map(En)):\"none\"===r?[\"all\"].concat(t.slice(1).map(En).map(Pn)):\"in\"===r?Ln(t[1],t.slice(2)):\"!in\"===r?Pn(Ln(t[1],t.slice(2))):\"has\"===r?In(t[1]):\"!has\"===r?Pn(In(t[1])):\"within\"!==r||t}function Cn(t,e,r){switch(t){case\"$type\":return[\"filter-type-\"+r,e];case\"$id\":return[\"filter-id-\"+r,e];default:return[\"filter-\"+r,t,e]}}function Ln(t,e){if(0===e.length)return!1;switch(t){case\"$type\":return[\"filter-type-in\",[\"literal\",e]];case\"$id\":return[\"filter-id-in\",[\"literal\",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?[\"filter-in-large\",t,[\"literal\",e.sort(Mn)]]:[\"filter-in-small\",t,[\"literal\",e]]}}function In(t){switch(t){case\"$type\":return!0;case\"$id\":return[\"filter-has-id\"];default:return[\"filter-has\",t]}}function Pn(t){return[\"!\",t]}function zn(t){return Tn(Vt(t.value))?bn(jt({},t,{expressionContext:\"filter\",valueSpec:{value:\"boolean\"}})):On(t)}function On(t){var e=t.value,r=t.key;if(\"array\"!==Qr(e))return[new Bt(r,e,\"array expected, \"+Qr(e)+\" found\")];var n,i=t.styleSpec,a=[];if(e.length<1)return[new Bt(r,e,\"filter array must have at least 1 element\")];switch(a=a.concat(wn({key:r+\"[0]\",value:e[0],valueSpec:i.filter_operator,style:t.style,styleSpec:t.styleSpec})),Ut(e[0])){case\"<\":case\"<=\":case\">\":case\">=\":e.length>=2&&\"$type\"===Ut(e[1])&&a.push(new Bt(r,e,'\"$type\" cannot be use with operator \"'+e[0]+'\"'));case\"==\":case\"!=\":3!==e.length&&a.push(new Bt(r,e,'filter array for operator \"'+e[0]+'\" must have 3 elements'));case\"in\":case\"!in\":e.length>=2&&\"string\"!==(n=Qr(e[1]))&&a.push(new Bt(r+\"[1]\",e[1],\"string expected, \"+n+\" found\"));for(var o=2;o<e.length;o++)n=Qr(e[o]),\"$type\"===Ut(e[1])?a=a.concat(wn({key:r+\"[\"+o+\"]\",value:e[o],valueSpec:i.geometry_type,style:t.style,styleSpec:t.styleSpec})):\"string\"!==n&&\"number\"!==n&&\"boolean\"!==n&&a.push(new Bt(r+\"[\"+o+\"]\",e[o],\"string, number, or boolean expected, \"+n+\" found\"));break;case\"any\":case\"all\":case\"none\":for(var s=1;s<e.length;s++)a=a.concat(On({key:r+\"[\"+s+\"]\",value:e[s],style:t.style,styleSpec:t.styleSpec}));break;case\"has\":case\"!has\":n=Qr(e[1]),2!==e.length?a.push(new Bt(r,e,'filter array for \"'+e[0]+'\" operator must have 2 elements')):\"string\"!==n&&a.push(new Bt(r+\"[1]\",e[1],\"string expected, \"+n+\" found\"));break;case\"within\":n=Qr(e[1]),2!==e.length?a.push(new Bt(r,e,'filter array for \"'+e[0]+'\" operator must have 2 elements')):\"object\"!==n&&a.push(new Bt(r+\"[1]\",e[1],\"object expected, \"+n+\" found\"))}return a}function Dn(t,e){var r=t.key,n=t.style,i=t.styleSpec,a=t.value,o=t.objectKey,s=i[e+\"_\"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if(\"paint\"===e&&l&&s[l[1]]&&s[l[1]].transition)return Hn({key:r,value:a,valueSpec:i.transition,style:n,styleSpec:i});var c,u=t.valueSpec||s[o];if(!u)return[new Bt(r,a,'unknown property \"'+o+'\"')];if(\"string\"===Qr(a)&&$r(u)&&!u.tokens&&(c=/^{([^}]+)}$/.exec(a)))return[new Bt(r,a,'\"'+o+'\" does not support interpolation syntax\\nUse an identity property function instead: `{ \"type\": \"identity\", \"property\": '+JSON.stringify(c[1])+\" }`.\")];var h=[];return\"symbol\"===t.layerType&&(\"text-field\"===o&&n&&!n.glyphs&&h.push(new Bt(r,a,'use of \"text-field\" requires a style \"glyphs\" property')),\"text-font\"===o&&tn(Vt(a))&&\"identity\"===Ut(a.type)&&h.push(new Bt(r,a,'\"text-font\" does not support identity functions'))),h.concat(Hn({key:t.key,value:a,valueSpec:u,style:n,styleSpec:i,expressionContext:\"property\",propertyType:e,propertyKey:o}))}function Rn(t){return Dn(t,\"paint\")}function Fn(t){return Dn(t,\"layout\")}function Bn(t){var e=[],r=t.value,n=t.key,i=t.style,a=t.styleSpec;r.type||r.ref||e.push(new Bt(n,r,'either \"type\" or \"ref\" is required'));var o,s=Ut(r.type),l=Ut(r.ref);if(r.id)for(var c=Ut(r.id),u=0;u<t.arrayIndex;u++){var h=i.layers[u];Ut(h.id)===c&&e.push(new Bt(n,r.id,'duplicate layer id \"'+r.id+'\", previously used at line '+h.id.__line__))}if(\"ref\"in r)[\"type\",\"source\",\"source-layer\",\"filter\",\"layout\"].forEach((function(t){t in r&&e.push(new Bt(n,r[t],'\"'+t+'\" is prohibited for ref layers'))})),i.layers.forEach((function(t){Ut(t.id)===l&&(o=t)})),o?o.ref?e.push(new Bt(n,r.ref,\"ref cannot reference another ref layer\")):s=Ut(o.type):e.push(new Bt(n,r.ref,'ref layer \"'+l+'\" not found'));else if(\"background\"!==s)if(r.source){var f=i.sources&&i.sources[r.source],p=f&&Ut(f.type);f?\"vector\"===p&&\"raster\"===s?e.push(new Bt(n,r.source,'layer \"'+r.id+'\" requires a raster source')):\"raster\"===p&&\"raster\"!==s?e.push(new Bt(n,r.source,'layer \"'+r.id+'\" requires a vector source')):\"vector\"!==p||r[\"source-layer\"]?\"raster-dem\"===p&&\"hillshade\"!==s?e.push(new Bt(n,r.source,\"raster-dem source can only be used with layer type 'hillshade'.\")):\"line\"!==s||!r.paint||!r.paint[\"line-gradient\"]||\"geojson\"===p&&f.lineMetrics||e.push(new Bt(n,r,'layer \"'+r.id+'\" specifies a line-gradient, which requires a GeoJSON source with `lineMetrics` enabled.')):e.push(new Bt(n,r,'layer \"'+r.id+'\" must specify a \"source-layer\"')):e.push(new Bt(n,r.source,'source \"'+r.source+'\" not found'))}else e.push(new Bt(n,r,'missing required property \"source\"'));return e=e.concat(yn({key:n,value:r,valueSpec:a.layer,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(){return[]},type:function(){return Hn({key:n+\".type\",value:r.type,valueSpec:a.layer.type,style:t.style,styleSpec:t.styleSpec,object:r,objectKey:\"type\"})},filter:zn,layout:function(t){return yn({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(t){return Fn(jt({layerType:s},t))}}})},paint:function(t){return yn({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(t){return Rn(jt({layerType:s},t))}}})}}})),e}function Nn(t){var e=t.value,r=t.key,n=Qr(e);return\"string\"!==n?[new Bt(r,e,\"string expected, \"+n+\" found\")]:[]}var jn={promoteId:function(t){var e=t.key,r=t.value;if(\"string\"===Qr(r))return Nn({key:e,value:r});var n=[];for(var i in r)n.push.apply(n,Nn({key:e+\".\"+i,value:r[i]}));return n}};function Un(t){var e=t.value,r=t.key,n=t.styleSpec,i=t.style;if(!e.type)return[new Bt(r,e,'\"type\" is required')];var a,o=Ut(e.type);switch(o){case\"vector\":case\"raster\":case\"raster-dem\":return yn({key:r,value:e,valueSpec:n[\"source_\"+o.replace(\"-\",\"_\")],style:t.style,styleSpec:n,objectElementValidators:jn});case\"geojson\":if(a=yn({key:r,value:e,valueSpec:n.source_geojson,style:i,styleSpec:n,objectElementValidators:jn}),e.cluster)for(var s in e.clusterProperties){var l=e.clusterProperties[s],c=l[0],u=l[1],h=\"string\"==typeof c?[c,[\"accumulated\"],[\"get\",s]]:c;a.push.apply(a,bn({key:r+\".\"+s+\".map\",value:u,expressionContext:\"cluster-map\"})),a.push.apply(a,bn({key:r+\".\"+s+\".reduce\",value:h,expressionContext:\"cluster-reduce\"}))}return a;case\"video\":return yn({key:r,value:e,valueSpec:n.source_video,style:i,styleSpec:n});case\"image\":return yn({key:r,value:e,valueSpec:n.source_image,style:i,styleSpec:n});case\"canvas\":return[new Bt(r,null,\"Please use runtime APIs to add canvas 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0===e?t.specification.default:e,t.specification)};Di.prototype.isDataDriven=function(){return\"source\"===this.expression.kind||\"composite\"===this.expression.kind},Di.prototype.possiblyEvaluate=function(t,e,r){return this.property.possiblyEvaluate(this,t,e,r)};var Ri=function(t){this.property=t,this.value=new Di(t,void 0)};Ri.prototype.transitioned=function(t,e){return new Bi(this.property,this.value,e,p({},t.transition,this.transition),t.now)},Ri.prototype.untransitioned=function(){return new Bi(this.property,this.value,null,{},0)};var Fi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitionablePropertyValues)};Fi.prototype.getValue=function(t){return w(this._values[t].value.value)},Fi.prototype.setValue=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new Ri(this._values[t].property)),this._values[t].value=new Di(this._values[t].property,null===e?void 0:w(e))},Fi.prototype.getTransition=function(t){return w(this._values[t].transition)},Fi.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new Ri(this._values[t].property)),this._values[t].transition=w(e)||void 0},Fi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i);var a=this.getTransition(n);void 0!==a&&(t[n+\"-transition\"]=a)}return t},Fi.prototype.transitioned=function(t,e){for(var r=new Ni(this._properties),n=0,i=Object.keys(this._values);n<i.length;n+=1){var a=i[n];r._values[a]=this._values[a].transitioned(t,e._values[a])}return r},Fi.prototype.untransitioned=function(){for(var t=new Ni(this._properties),e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e];t._values[n]=this._values[n].untransitioned()}return t};var Bi=function(t,e,r,n,i){this.property=t,this.value=e,this.begin=i+n.delay||0,this.end=this.begin+n.duration||0,t.specification.transition&&(n.delay||n.duration)&&(this.prior=r)};Bi.prototype.possiblyEvaluate=function(t,e,r){var n=t.now||0,i=this.value.possiblyEvaluate(t,e,r),a=this.prior;if(a){if(n>this.end)return this.prior=null,i;if(this.value.isDataDriven())return this.prior=null,i;if(n<this.begin)return a.possiblyEvaluate(t,e,r);var o=(n-this.begin)/(this.end-this.begin);return this.property.interpolate(a.possiblyEvaluate(t,e,r),i,function(t){if(t<=0)return 0;if(t>=1)return 1;var e=t*t,r=e*t;return 4*(t<.5?r:3*(t-e)+r-.75)}(o))}return i};var Ni=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};Ni.prototype.possiblyEvaluate=function(t,e,r){for(var n=new Vi(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n},Ni.prototype.hasTransition=function(){for(var t=0,e=Object.keys(this._values);t<e.length;t+=1){var r=e[t];if(this._values[r].prior)return!0}return!1};var ji=function(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)};ji.prototype.getValue=function(t){return w(this._values[t].value)},ji.prototype.setValue=function(t,e){this._values[t]=new Di(this._values[t].property,null===e?void 0:w(e))},ji.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i)}return t},ji.prototype.possiblyEvaluate=function(t,e,r){for(var n=new Vi(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n};var Ui=function(t,e,r){this.property=t,this.value=e,this.parameters=r};Ui.prototype.isConstant=function(){return\"constant\"===this.value.kind},Ui.prototype.constantOr=function(t){return\"constant\"===this.value.kind?this.value.value:t},Ui.prototype.evaluate=function(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)};var Vi=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};Vi.prototype.get=function(t){return this._values[t]};var qi=function(t){this.specification=t};qi.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},qi.prototype.interpolate=function(t,e,r){var n=rr[this.specification.type];return n?n(t,e,r):t};var Hi=function(t,e){this.specification=t,this.overrides=e};Hi.prototype.possiblyEvaluate=function(t,e,r,n){return\"constant\"===t.expression.kind||\"camera\"===t.expression.kind?new Ui(this,{kind:\"constant\",value:t.expression.evaluate(e,null,{},r,n)},e):new Ui(this,t.expression,e)},Hi.prototype.interpolate=function(t,e,r){if(\"constant\"!==t.value.kind||\"constant\"!==e.value.kind)return t;if(void 0===t.value.value||void 0===e.value.value)return new Ui(this,{kind:\"constant\",value:void 0},t.parameters);var n=rr[this.specification.type];return n?new Ui(this,{kind:\"constant\",value:n(t.value.value,e.value.value,r)},t.parameters):t},Hi.prototype.evaluate=function(t,e,r,n,i,a){return\"constant\"===t.kind?t.value:t.evaluate(e,r,n,i,a)};var Gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0===t.value)return new Ui(this,{kind:\"constant\",value:void 0},e);if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n),a=\"resolvedImage\"===t.property.specification.type&&\"string\"!=typeof i?i.name:i,o=this._calculate(a,a,a,e);return new Ui(this,{kind:\"constant\",value:o},e)}if(\"camera\"===t.expression.kind){var s=this._calculate(t.expression.evaluate({zoom:e.zoom-1}),t.expression.evaluate({zoom:e.zoom}),t.expression.evaluate({zoom:e.zoom+1}),e);return new Ui(this,{kind:\"constant\",value:s},e)}return new Ui(this,t.expression,e)},e.prototype.evaluate=function(t,e,r,n,i,a){if(\"source\"===t.kind){var o=t.evaluate(e,r,n,i,a);return this._calculate(o,o,o,e)}return\"composite\"===t.kind?this._calculate(t.evaluate({zoom:Math.floor(e.zoom)-1},r,n),t.evaluate({zoom:Math.floor(e.zoom)},r,n),t.evaluate({zoom:Math.floor(e.zoom)+1},r,n),e):t.value},e.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},e.prototype.interpolate=function(t){return t},e}(Hi),Zi=function(t){this.specification=t};Zi.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0!==t.value){if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n);return this._calculate(i,i,i,e)}return this._calculate(t.expression.evaluate(new Oi(Math.floor(e.zoom-1),e)),t.expression.evaluate(new Oi(Math.floor(e.zoom),e)),t.expression.evaluate(new Oi(Math.floor(e.zoom+1),e)),e)}},Zi.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},Zi.prototype.interpolate=function(t){return t};var Wi=function(t){this.specification=t};Wi.prototype.possiblyEvaluate=function(t,e,r,n){return!!t.expression.evaluate(e,null,{},r,n)},Wi.prototype.interpolate=function(){return!1};var Yi=function(t){for(var e in this.properties=t,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[],t){var r=t[e];r.specification.overridable&&this.overridableProperties.push(e);var n=this.defaultPropertyValues[e]=new Di(r,void 0),i=this.defaultTransitionablePropertyValues[e]=new Ri(r);this.defaultTransitioningPropertyValues[e]=i.untransitioned(),this.defaultPossiblyEvaluatedValues[e]=n.possiblyEvaluate({})}};oi(\"DataDrivenProperty\",Hi),oi(\"DataConstantProperty\",qi),oi(\"CrossFadedDataDrivenProperty\",Gi),oi(\"CrossFadedProperty\",Zi),oi(\"ColorRampProperty\",Wi);var Xi=\"-transition\",$i=function(t){function e(e,r){if(t.call(this),this.id=e.id,this.type=e.type,this._featureFilter={filter:function(){return!0},needGeometry:!1},\"custom\"!==e.type&&(this.metadata=e.metadata,this.minzoom=e.minzoom,this.maxzoom=e.maxzoom,\"background\"!==e.type&&(this.source=e.source,this.sourceLayer=e[\"source-layer\"],this.filter=e.filter),r.layout&&(this._unevaluatedLayout=new ji(r.layout)),r.paint)){for(var n in this._transitionablePaint=new Fi(r.paint),e.paint)this.setPaintProperty(n,e.paint[n],{validate:!1});for(var i in e.layout)this.setLayoutProperty(i,e.layout[i],{validate:!1});this._transitioningPaint=this._transitionablePaint.untransitioned(),this.paint=new Vi(r.paint)}}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getCrossfadeParameters=function(){return this._crossfadeParameters},e.prototype.getLayoutProperty=function(t){return\"visibility\"===t?this.visibility:this._unevaluatedLayout.getValue(t)},e.prototype.setLayoutProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".layout.\"+t;if(this._validate(Kn,n,t,e,r))return}\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e},e.prototype.getPaintProperty=function(t){return x(t,Xi)?this._transitionablePaint.getTransition(t.slice(0,-11)):this._transitionablePaint.getValue(t)},e.prototype.setPaintProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".paint.\"+t;if(this._validate(Jn,n,t,e,r))return!1}if(x(t,Xi))return this._transitionablePaint.setTransition(t.slice(0,-11),e||void 0),!1;var i=this._transitionablePaint._values[t],a=\"cross-faded-data-driven\"===i.property.specification[\"property-type\"],o=i.value.isDataDriven(),s=i.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var l=this._transitionablePaint._values[t].value;return l.isDataDriven()||o||a||this._handleOverridablePaintPropertyUpdate(t,s,l)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t<this.minzoom)||!!(this.maxzoom&&t>=this.maxzoom)||\"none\"===this.visibility},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,\"source-layer\":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),b(t,(function(t,e){return!(void 0===t||\"layout\"===e&&!Object.keys(t).length||\"paint\"===e&&!Object.keys(t).length)}))},e.prototype._validate=function(t,e,r,n,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&Qn(this,t.call(Xn,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:Ft,style:{glyphs:!0,sprite:!0}}))},e.prototype.is3D=function(){return!1},e.prototype.isTileClipped=function(){return!1},e.prototype.hasOffscreenPass=function(){return!1},e.prototype.resize=function(){},e.prototype.isStateDependent=function(){for(var t in this.paint._values){var e=this.paint.get(t);if(e instanceof Ui&&$r(e.property.specification)&&(\"source\"===e.value.kind||\"composite\"===e.value.kind)&&e.value.isStateDependent)return!0}return!1},e}(Rt),Ji={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},Ki=function(t,e){this._structArray=t,this._pos1=e*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8},Qi=function(){this.isTransferred=!1,this.capacity=-1,this.resize(0)};function ta(t,e){void 0===e&&(e=1);var r=0,n=0;return{members:t.map((function(t){var i,a=(i=t.type,Ji[i].BYTES_PER_ELEMENT),o=r=ea(r,Math.max(e,a)),s=t.components||1;return n=Math.max(n,a),r+=a*s,{name:t.name,type:t.type,components:s,offset:o}})),size:ea(r,Math.max(n,e)),alignment:e}}function ea(t,e){return Math.ceil(t/e)*e}Qi.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},Qi.deserialize=function(t){var e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e},Qi.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},Qi.prototype.clear=function(){this.length=0},Qi.prototype.resize=function(t){this.reserve(t),this.length=t},Qi.prototype.reserve=function(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);var e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}},Qi.prototype._refreshViews=function(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")};var ra=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t},e}(Qi);ra.prototype.bytesPerElement=4,oi(\"StructArrayLayout2i4\",ra);var na=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.int16[a+0]=e,this.int16[a+1]=r,this.int16[a+2]=n,this.int16[a+3]=i,t},e}(Qi);na.prototype.bytesPerElement=8,oi(\"StructArrayLayout4i8\",na);var ia=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Qi);ia.prototype.bytesPerElement=12,oi(\"StructArrayLayout2i4i12\",ia);var aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=i,this.uint8[l+6]=a,this.uint8[l+7]=o,t},e}(Qi);aa.prototype.bytesPerElement=8,oi(\"StructArrayLayout2i4ub8\",aa);var oa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.float32[n+0]=e,this.float32[n+1]=r,t},e}(Qi);oa.prototype.bytesPerElement=8,oi(\"StructArrayLayout2f8\",oa);var sa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c){var u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l,c)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u){var h=10*t;return this.uint16[h+0]=e,this.uint16[h+1]=r,this.uint16[h+2]=n,this.uint16[h+3]=i,this.uint16[h+4]=a,this.uint16[h+5]=o,this.uint16[h+6]=s,this.uint16[h+7]=l,this.uint16[h+8]=c,this.uint16[h+9]=u,t},e}(Qi);sa.prototype.bytesPerElement=20,oi(\"StructArrayLayout10ui20\",sa);var la=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,h){var f=this.length;return this.resize(f+1),this.emplace(f,t,e,r,n,i,a,o,s,l,c,u,h)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,h,f){var p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=i,this.uint16[p+4]=a,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=c,this.int16[p+9]=u,this.int16[p+10]=h,this.int16[p+11]=f,t},e}(Qi);la.prototype.bytesPerElement=24,oi(\"StructArrayLayout4i4ui4i24\",la);var ca=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t},e}(Qi);ca.prototype.bytesPerElement=12,oi(\"StructArrayLayout3f12\",ca);var ua=function(t){function e(){t.apply(this,arguments)}return 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this.resize(c+1),this.emplace(c,t,e,r,n,i,a,o,s,l)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c){var u=10*t,h=5*t;return this.int16[u+0]=e,this.int16[u+1]=r,this.int16[u+2]=n,this.int16[u+3]=i,this.int16[u+4]=a,this.int16[u+5]=o,this.uint32[h+3]=s,this.uint16[u+8]=l,this.uint16[u+9]=c,t},e}(Qi);ha.prototype.bytesPerElement=20,oi(\"StructArrayLayout6i1ul2ui20\",ha);var fa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return 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this._structArray.uint16[this._pos2+11]},r.verticalTextBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+12]},r.iconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+13]},r.iconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+14]},r.verticalIconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+15]},r.verticalIconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+16]},r.featureIndex.get=function(){return this._structArray.uint16[this._pos2+17]},r.numHorizontalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+18]},r.numVerticalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+19]},r.numIconVertices.get=function(){return this._structArray.uint16[this._pos2+20]},r.numVerticalIconVertices.get=function(){return this._structArray.uint16[this._pos2+21]},r.useRuntimeCollisionCircles.get=function(){return 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so=function(t,e,r,n,i,a){this.expression=t,this.uniformNames=e.map((function(t){return\"u_\"+t+\"_t\"})),this.type=r,this.useIntegerZoom=n,this.zoom=i,this.maxValue=0,this.paintVertexAttributes=e.map((function(t){return{name:\"a_\"+t,type:\"Float32\",components:\"color\"===r?4:2,offset:0}})),this.paintVertexArray=new a};so.prototype.populatePaintArray=function(t,e,r,n,i){var a=this.expression.evaluate(new Oi(this.zoom),e,{},n,[],i),o=this.expression.evaluate(new Oi(this.zoom+1),e,{},n,[],i),s=this.paintVertexArray.length;this.paintVertexArray.resize(t),this._setPaintValue(s,t,a,o)},so.prototype.updatePaintArray=function(t,e,r,n){var i=this.expression.evaluate({zoom:this.zoom},r,n),a=this.expression.evaluate({zoom:this.zoom+1},r,n);this._setPaintValue(t,e,i,a)},so.prototype._setPaintValue=function(t,e,r,n){if(\"color\"===this.type)for(var i=no(r),a=no(n),o=t;o<e;o++)this.paintVertexArray.emplace(o,i[0],i[1],a[0],a[1]);else{for(var s=t;s<e;s++)this.paintVertexArray.emplace(s,r,n);this.maxValue=Math.max(this.maxValue,Math.abs(r),Math.abs(n))}},so.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},so.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()},so.prototype.setUniform=function(t,e){var r=this.useIntegerZoom?Math.floor(e.zoom):e.zoom,n=h(this.expression.interpolationFactor(r,this.zoom,this.zoom+1),0,1);t.set(n)},so.prototype.getBinding=function(t,e,r){return new $a(t,e)};var lo=function(t,e,r,n,i,a){this.expression=t,this.type=e,this.useIntegerZoom=r,this.zoom=n,this.layerId=a,this.zoomInPaintVertexArray=new i,this.zoomOutPaintVertexArray=new i};lo.prototype.populatePaintArray=function(t,e,r){var n=this.zoomInPaintVertexArray.length;this.zoomInPaintVertexArray.resize(t),this.zoomOutPaintVertexArray.resize(t),this._setPaintValues(n,t,e.patterns&&e.patterns[this.layerId],r)},lo.prototype.updatePaintArray=function(t,e,r,n,i){this._setPaintValues(t,e,r.patterns&&r.patterns[this.layerId],i)},lo.prototype._setPaintValues=function(t,e,r,n){if(n&&r){var i=r.min,a=r.mid,o=r.max,s=n[i],l=n[a],c=n[o];if(s&&l&&c)for(var u=t;u<e;u++)this.zoomInPaintVertexArray.emplace(u,l.tl[0],l.tl[1],l.br[0],l.br[1],s.tl[0],s.tl[1],s.br[0],s.br[1],l.pixelRatio,s.pixelRatio),this.zoomOutPaintVertexArray.emplace(u,l.tl[0],l.tl[1],l.br[0],l.br[1],c.tl[0],c.tl[1],c.br[0],c.br[1],l.pixelRatio,c.pixelRatio)}},lo.prototype.upload=function(t){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=t.createVertexBuffer(this.zoomInPaintVertexArray,Fa.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=t.createVertexBuffer(this.zoomOutPaintVertexArray,Fa.members,this.expression.isStateDependent))},lo.prototype.destroy=function(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()};var co=function(t,e,r){this.binders={},this._buffers=[];var n=[];for(var i in t.paint._values)if(r(i)){var a=t.paint.get(i);if(a instanceof Ui&&$r(a.property.specification)){var o=ho(i,t.type),s=a.value,l=a.property.specification.type,c=a.property.useIntegerZoom,u=a.property.specification[\"property-type\"],h=\"cross-faded\"===u||\"cross-faded-data-driven\"===u;if(\"constant\"===s.kind)this.binders[i]=h?new ao(s.value,o):new io(s.value,o,l),n.push(\"/u_\"+i);else if(\"source\"===s.kind||h){var f=fo(i,l,\"source\");this.binders[i]=h?new lo(s,l,c,e,f,t.id):new oo(s,o,l,f),n.push(\"/a_\"+i)}else{var p=fo(i,l,\"composite\");this.binders[i]=new so(s,o,l,c,e,p),n.push(\"/z_\"+i)}}}this.cacheKey=n.sort().join(\"\")};co.prototype.getMaxValue=function(t){var e=this.binders[t];return e instanceof oo||e instanceof so?e.maxValue:0},co.prototype.populatePaintArrays=function(t,e,r,n,i){for(var a in this.binders){var o=this.binders[a];(o instanceof oo||o instanceof so||o instanceof lo)&&o.populatePaintArray(t,e,r,n,i)}},co.prototype.setConstantPatternPositions=function(t,e){for(var r in this.binders){var n=this.binders[r];n instanceof ao&&n.setConstantPatternPositions(t,e)}},co.prototype.updatePaintArrays=function(t,e,r,n,i){var a=!1;for(var o in t)for(var s=0,l=e.getPositions(o);s<l.length;s+=1){var c=l[s],u=r.feature(c.index);for(var h in this.binders){var f=this.binders[h];if((f instanceof oo||f instanceof so||f instanceof lo)&&!0===f.expression.isStateDependent){var p=n.paint.get(h);f.expression=p.value,f.updatePaintArray(c.start,c.end,u,t[o],i),a=!0}}}return a},co.prototype.defines=function(){var t=[];for(var e in this.binders){var r=this.binders[e];(r instanceof io||r instanceof ao)&&t.push.apply(t,r.uniformNames.map((function(t){return\"#define HAS_UNIFORM_\"+t})))}return t},co.prototype.getBinderAttributes=function(){var t=[];for(var e in this.binders){var r=this.binders[e];if(r instanceof oo||r instanceof so)for(var n=0;n<r.paintVertexAttributes.length;n++)t.push(r.paintVertexAttributes[n].name);else if(r instanceof lo)for(var i=0;i<Fa.members.length;i++)t.push(Fa.members[i].name)}return t},co.prototype.getBinderUniforms=function(){var t=[];for(var e in this.binders){var r=this.binders[e];if(r instanceof io||r instanceof ao||r instanceof so)for(var n=0,i=r.uniformNames;n<i.length;n+=1){var a=i[n];t.push(a)}}return t},co.prototype.getPaintVertexBuffers=function(){return this._buffers},co.prototype.getUniforms=function(t,e){var r=[];for(var n in this.binders){var i=this.binders[n];if(i instanceof io||i instanceof ao||i instanceof so)for(var a=0,o=i.uniformNames;a<o.length;a+=1){var s=o[a];if(e[s]){var l=i.getBinding(t,e[s],s);r.push({name:s,property:n,binding:l})}}}return r},co.prototype.setUniforms=function(t,e,r,n){for(var i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.name,l=o.property,c=o.binding;this.binders[l].setUniform(c,n,r.get(l),s)}},co.prototype.updatePaintBuffers=function(t){for(var e in this._buffers=[],this.binders){var r=this.binders[e];if(t&&r instanceof lo){var n=2===t.fromScale?r.zoomInPaintVertexBuffer:r.zoomOutPaintVertexBuffer;n&&this._buffers.push(n)}else(r instanceof oo||r instanceof so)&&r.paintVertexBuffer&&this._buffers.push(r.paintVertexBuffer)}},co.prototype.upload=function(t){for(var e in this.binders){var r=this.binders[e];(r instanceof oo||r instanceof so||r instanceof lo)&&r.upload(t)}this.updatePaintBuffers()},co.prototype.destroy=function(){for(var t in this.binders){var e=this.binders[t];(e instanceof oo||e instanceof so||e instanceof lo)&&e.destroy()}};var uo=function(t,e,r){void 0===r&&(r=function(){return!0}),this.programConfigurations={};for(var n=0,i=t;n<i.length;n+=1){var a=i[n];this.programConfigurations[a.id]=new co(a,e,r)}this.needsUpload=!1,this._featureMap=new qa,this._bufferOffset=0};function ho(t,e){return{\"text-opacity\":[\"opacity\"],\"icon-opacity\":[\"opacity\"],\"text-color\":[\"fill_color\"],\"icon-color\":[\"fill_color\"],\"text-halo-color\":[\"halo_color\"],\"icon-halo-color\":[\"halo_color\"],\"text-halo-blur\":[\"halo_blur\"],\"icon-halo-blur\":[\"halo_blur\"],\"text-halo-width\":[\"halo_width\"],\"icon-halo-width\":[\"halo_width\"],\"line-gap-width\":[\"gapwidth\"],\"line-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-extrusion-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"]}[t]||[t.replace(e+\"-\",\"\").replace(/-/g,\"_\")]}function fo(t,e,r){var n={color:{source:oa,composite:Ta},number:{source:va,composite:oa}},i=function(t){return{\"line-pattern\":{source:sa,composite:sa},\"fill-pattern\":{source:sa,composite:sa},\"fill-extrusion-pattern\":{source:sa,composite:sa}}[t]}(t);return 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c=t.readVarint();n=7&c,i=c>>3}if(i--,1===n||2===n)o+=t.readSVarint(),s+=t.readSVarint(),1===n&&(e&&l.push(e),e=[]),e.push(new a(o,s));else{if(7!==n)throw new Error(\"unknown command \"+n);e&&e.push(e[0].clone())}}return e&&l.push(e),l},Ws.prototype.bbox=function(){var t=this._pbf;t.pos=this._geometry;for(var e=t.readVarint()+t.pos,r=1,n=0,i=0,a=0,o=1/0,s=-1/0,l=1/0,c=-1/0;t.pos<e;){if(n<=0){var u=t.readVarint();r=7&u,n=u>>3}if(n--,1===r||2===r)(i+=t.readSVarint())<o&&(o=i),i>s&&(s=i),(a+=t.readSVarint())<l&&(l=a),a>c&&(c=a);else if(7!==r)throw new Error(\"unknown command \"+r)}return[o,l,s,c]},Ws.prototype.toGeoJSON=function(t,e,r){var n,i,a=this.extent*Math.pow(2,r),o=this.extent*t,s=this.extent*e,l=this.loadGeometry(),c=Ws.types[this.type];function u(t){for(var e=0;e<t.length;e++){var r=t[e],n=180-360*(r.y+s)/a;t[e]=[360*(r.x+o)/a-180,360/Math.PI*Math.atan(Math.exp(n*Math.PI/180))-90]}}switch(this.type){case 1:var h=[];for(n=0;n<l.length;n++)h[n]=l[n][0];u(l=h);break;case 2:for(n=0;n<l.length;n++)u(l[n]);break;case 3:for(l=function(t){var e=t.length;if(e<=1)return[t];for(var r,n,i=[],a=0;a<e;a++){var o=Xs(t[a]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&i.push(r),r=[t[a]]):r.push(t[a]))}return r&&i.push(r),i}(l),n=0;n<l.length;n++)for(i=0;i<l[n].length;i++)u(l[n][i])}1===l.length?l=l[0]:c=\"Multi\"+c;var f={type:\"Feature\",geometry:{type:c,coordinates:l},properties:this.properties};return\"id\"in this&&(f.id=this.id),f};var $s=Js;function Js(t,e){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=t,this._keys=[],this._values=[],this._features=[],t.readFields(Ks,this,e),this.length=this._features.length}function Ks(t,e,r){15===t?e.version=r.readVarint():1===t?e.name=r.readString():5===t?e.extent=r.readVarint():2===t?e._features.push(r.pos):3===t?e._keys.push(r.readString()):4===t&&e._values.push(function(t){for(var e=null,r=t.readVarint()+t.pos;t.pos<r;){var n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}function Qs(t,e,r){if(3===t){var n=new $s(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Js.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error(\"feature index out of bounds\");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new Zs(this._pbf,e,this.extent,this._keys,this._values)};var tl={VectorTile:function(t,e){this.layers=t.readFields(Qs,{},e)},VectorTileFeature:Zs,VectorTileLayer:$s},el=tl.VectorTileFeature.types,rl=Math.pow(2,13);function nl(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*rl)+o,i*rl*2,a*rl*2,Math.round(s))}var il=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new ia,this.indexArray=new ma,this.programConfigurations=new uo(t.layers,t.zoom),this.segments=new Da,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function al(t,e){return t.x===e.x&&(t.x<0||t.x>po)||t.y===e.y&&(t.y<0||t.y>po)}il.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=Ns(\"fill-extrusion\",this.layers,e);for(var n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.feature,s=a.id,l=a.index,c=a.sourceLayerIndex,u=this.layers[0]._featureFilter.needGeometry,h=vo(o,u);if(this.layers[0]._featureFilter.filter(new Oi(this.zoom),h,r)){var f={id:s,sourceLayerIndex:c,index:l,geometry:u?h.geometry:yo(o),properties:o.properties,type:o.type,patterns:{}};this.hasPattern?this.features.push(js(\"fill-extrusion\",this.layers,f,this.zoom,e)):this.addFeature(f,f.geometry,l,r,{}),e.featureIndex.insert(o,f.geometry,l,c,this.index,!0)}}},il.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.features;n<i.length;n+=1){var a=i[n],o=a.geometry;this.addFeature(a,o,a.index,e,r)}},il.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},il.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},il.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},il.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Gs),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},il.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},il.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=Fs(e,500);a<o.length;a+=1){for(var s=o[a],l=0,c=0,u=s;c<u.length;c+=1)l+=u[c].length;for(var h=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),f=0,p=s;f<p.length;f+=1){var d=p[f];if(0!==d.length&&!((P=d).every((function(t){return t.x<0}))||P.every((function(t){return t.x>po}))||P.every((function(t){return t.y<0}))||P.every((function(t){return t.y>po}))))for(var m=0,g=0;g<d.length;g++){var y=d[g];if(g>=1){var v=d[g-1];if(!al(y,v)){h.vertexLength+4>Da.MAX_VERTEX_ARRAY_LENGTH&&(h=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=y.sub(v)._perp()._unit(),_=v.dist(y);m+_>32768&&(m=0),nl(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,m),nl(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,m),m+=_,nl(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,0,m),nl(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,1,m);var b=h.vertexLength;this.indexArray.emplaceBack(b,b+2,b+1),this.indexArray.emplaceBack(b+1,b+2,b+3),h.vertexLength+=4,h.primitiveLength+=2}}}}if(h.vertexLength+l>Da.MAX_VERTEX_ARRAY_LENGTH&&(h=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),\"Polygon\"===el[t.type]){for(var w=[],T=[],k=h.vertexLength,A=0,M=s;A<M.length;A+=1){var S=M[A];if(0!==S.length){S!==s[0]&&T.push(w.length/2);for(var E=0;E<S.length;E++){var C=S[E];nl(this.layoutVertexArray,C.x,C.y,0,0,1,1,0),w.push(C.x),w.push(C.y)}}}for(var L=as(w,T),I=0;I<L.length;I+=3)this.indexArray.emplaceBack(k+L[I],k+L[I+2],k+L[I+1]);h.primitiveLength+=L.length/3,h.vertexLength+=l}}var P;this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},oi(\"FillExtrusionBucket\",il,{omit:[\"layers\",\"features\"]});var ol={paint:new Yi({\"fill-extrusion-opacity\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new Hi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new Gi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new Hi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new Hi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})},sl=function(t){function e(e){t.call(this,e,ol)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new il(t)},e.prototype.queryRadius=function(){return zo(this.paint.get(\"fill-extrusion-translate\"))},e.prototype.is3D=function(){return!0},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,o,s,l){var c=Oo(t,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),o.angle,s),u=this.paint.get(\"fill-extrusion-height\").evaluate(e,r),h=this.paint.get(\"fill-extrusion-base\").evaluate(e,r),f=function(t,e,r,n){for(var i=[],o=0,s=t;o<s.length;o+=1){var l=s[o],c=[l.x,l.y,n,1];qo(c,c,e),i.push(new a(c[0]/c[3],c[1]/c[3]))}return i}(c,l,0,0),p=function(t,e,r,n){for(var i=[],o=[],s=n[8]*e,l=n[9]*e,c=n[10]*e,u=n[11]*e,h=n[8]*r,f=n[9]*r,p=n[10]*r,d=n[11]*r,m=0,g=t;m<g.length;m+=1){for(var y=[],v=[],x=0,_=g[m];x<_.length;x+=1){var b=_[x],w=b.x,T=b.y,k=n[0]*w+n[4]*T+n[12],A=n[1]*w+n[5]*T+n[13],M=n[2]*w+n[6]*T+n[14],S=n[3]*w+n[7]*T+n[15],E=M+c,C=S+u,L=k+h,I=A+f,P=M+p,z=S+d,O=new a((k+s)/C,(A+l)/C);O.z=E/C,y.push(O);var D=new a(L/z,I/z);D.z=P/z,v.push(D)}i.push(y),o.push(v)}return[i,o]}(n,h,u,l);return function(t,e,r){var n=1/0;To(r,e)&&(n=cl(r,e[0]));for(var i=0;i<e.length;i++)for(var a=e[i],o=t[i],s=0;s<a.length-1;s++){var l=a[s],c=a[s+1],u=o[s],h=[l,c,o[s+1],u,l];bo(r,h)&&(n=Math.min(n,cl(r,h)))}return n!==1/0&&n}(p[0],p[1],f)},e}($i);function ll(t,e){return t.x*e.x+t.y*e.y}function cl(t,e){if(1===t.length){for(var r,n=0,i=e[n++];!r||i.equals(r);)if(!(r=e[n++]))return 1/0;for(;n<e.length;n++){var a=e[n],o=t[0],s=r.sub(i),l=a.sub(i),c=o.sub(i),u=ll(s,s),h=ll(s,l),f=ll(l,l),p=ll(c,s),d=ll(c,l),m=u*f-h*h,g=(f*p-h*d)/m,y=(u*d-h*p)/m,v=1-g-y,x=i.z*v+r.z*g+a.z*y;if(isFinite(x))return x}return 1/0}for(var _=1/0,b=0,w=e;b<w.length;b+=1){var T=w[b];_=Math.min(_,T.z)}return _}var ul=ta([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4).members,hl=ta([{name:\"a_uv_x\",components:1,type:\"Float32\"},{name:\"a_split_index\",components:1,type:\"Float32\"}]).members,fl=tl.VectorTileFeature.types,pl=Math.cos(Math.PI/180*37.5),dl=Math.pow(2,14)/.5,ml=function(t){var e=this;this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.lineClipsArray=[],this.gradients={},this.layers.forEach((function(t){e.gradients[t.id]={}})),this.layoutVertexArray=new aa,this.layoutVertexArray2=new oa,this.indexArray=new ma,this.programConfigurations=new uo(t.layers,t.zoom),this.segments=new Da,this.maxLineLength=0,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};ml.prototype.populate=function(t,e,r){this.hasPattern=Ns(\"line\",this.layers,e);for(var n=this.layers[0].layout.get(\"line-sort-key\"),i=[],a=0,o=t;a<o.length;a+=1){var s=o[a],l=s.feature,c=s.id,u=s.index,h=s.sourceLayerIndex,f=this.layers[0]._featureFilter.needGeometry,p=vo(l,f);if(this.layers[0]._featureFilter.filter(new Oi(this.zoom),p,r)){var d=n?n.evaluate(p,{},r):void 0,m={id:c,properties:l.properties,type:l.type,sourceLayerIndex:h,index:u,geometry:f?p.geometry:yo(l),patterns:{},sortKey:d};i.push(m)}}n&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var g=0,y=i;g<y.length;g+=1){var v=y[g],x=v,_=x.geometry,b=x.index,w=x.sourceLayerIndex;if(this.hasPattern){var T=js(\"line\",this.layers,v,this.zoom,e);this.patternFeatures.push(T)}else this.addFeature(v,_,b,r,{});var k=t[b].feature;e.featureIndex.insert(k,_,b,w,this.index)}},ml.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},ml.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.patternFeatures;n<i.length;n+=1){var a=i[n];this.addFeature(a,a.geometry,a.index,e,r)}},ml.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},ml.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},ml.prototype.upload=function(t){this.uploaded||(0!==this.layoutVertexArray2.length&&(this.layoutVertexBuffer2=t.createVertexBuffer(this.layoutVertexArray2,hl)),this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,ul),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},ml.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},ml.prototype.lineFeatureClips=function(t){if(t.properties&&t.properties.hasOwnProperty(\"mapbox_clip_start\")&&t.properties.hasOwnProperty(\"mapbox_clip_end\"))return{start:+t.properties.mapbox_clip_start,end:+t.properties.mapbox_clip_end}},ml.prototype.addFeature=function(t,e,r,n,i){var a=this.layers[0].layout,o=a.get(\"line-join\").evaluate(t,{}),s=a.get(\"line-cap\"),l=a.get(\"line-miter-limit\"),c=a.get(\"line-round-limit\");this.lineClips=this.lineFeatureClips(t);for(var u=0,h=e;u<h.length;u+=1){var f=h[u];this.addLine(f,t,o,s,l,c)}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},ml.prototype.addLine=function(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,this.lineClips){this.lineClipsArray.push(this.lineClips);for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance(),this.maxLineLength=Math.max(this.maxLineLength,this.totalDistance)}for(var s=\"Polygon\"===fl[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var c=0;c<l-1&&t[c].equals(t[c+1]);)c++;if(!(l<(s?3:2))){\"bevel\"===r&&(i=1.05);var u,h=this.overscaling<=16?15*po/(512*this.overscaling):0,f=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 0,d=void 0,m=void 0,g=void 0;this.e1=this.e2=-1,s&&(u=t[l-2],g=t[c].sub(u)._unit()._perp());for(var y=c;y<l;y++)if(!(d=y===l-1?s?t[c+1]:void 0:t[y+1])||!t[y].equals(d)){g&&(m=g),u&&(p=u),u=t[y],g=d?d.sub(u)._unit()._perp():m;var v=(m=m||g).add(g);0===v.x&&0===v.y||v._unit();var x=m.x*g.x+m.y*g.y,_=v.x*g.x+v.y*g.y,b=0!==_?1/_:1/0,w=2*Math.sqrt(2-2*_),T=_<pl&&p&&d,k=m.x*g.y-m.y*g.x>0;if(T&&y>c){var A=u.dist(p);if(A>2*h){var M=u.sub(u.sub(p)._mult(h/A)._round());this.updateDistance(p,M),this.addCurrentVertex(M,m,0,0,f),p=M}}var S=p&&d,E=S?r:s?\"butt\":n;if(S&&\"round\"===E&&(b<a?E=\"miter\":b<=2&&(E=\"fakeround\")),\"miter\"===E&&b>i&&(E=\"bevel\"),\"bevel\"===E&&(b>2&&(E=\"flipbevel\"),b<i&&(E=\"miter\")),p&&this.updateDistance(p,u),\"miter\"===E)v._mult(b),this.addCurrentVertex(u,v,0,0,f);else if(\"flipbevel\"===E){if(b>100)v=g.mult(-1);else{var C=b*m.add(g).mag()/m.sub(g).mag();v._perp()._mult(C*(k?-1:1))}this.addCurrentVertex(u,v,0,0,f),this.addCurrentVertex(u,v.mult(-1),0,0,f)}else if(\"bevel\"===E||\"fakeround\"===E){var L=-Math.sqrt(b*b-1),I=k?L:0,P=k?0:L;if(p&&this.addCurrentVertex(u,m,I,P,f),\"fakeround\"===E)for(var z=Math.round(180*w/Math.PI/20),O=1;O<z;O++){var D=O/z;if(.5!==D){var R=D-.5;D+=D*R*(D-1)*((1.0904+x*(x*(3.55645-1.43519*x)-3.2452))*R*R+(.848013+x*(.215638*x-1.06021)))}var F=g.sub(m)._mult(D)._add(m)._unit()._mult(k?-1:1);this.addHalfVertex(u,F.x,F.y,!1,k,0,f)}d&&this.addCurrentVertex(u,g,-I,-P,f)}else if(\"butt\"===E)this.addCurrentVertex(u,v,0,0,f);else if(\"square\"===E){var B=p?1:-1;this.addCurrentVertex(u,v,B,B,f)}else\"round\"===E&&(p&&(this.addCurrentVertex(u,m,0,0,f),this.addCurrentVertex(u,m,1,1,f,!0)),d&&(this.addCurrentVertex(u,g,-1,-1,f,!0),this.addCurrentVertex(u,g,0,0,f)));if(T&&y<l-1){var N=u.dist(d);if(N>2*h){var j=u.add(d.sub(u)._mult(h/N)._round());this.updateDistance(u,j),this.addCurrentVertex(j,g,0,0,f),u=j}}}}},ml.prototype.addCurrentVertex=function(t,e,r,n,i,a){void 0===a&&(a=!1);var o=e.x+e.y*r,s=e.y-e.x*r,l=-e.x+e.y*n,c=-e.y-e.x*n;this.addHalfVertex(t,o,s,a,!1,r,i),this.addHalfVertex(t,l,c,a,!0,-n,i),this.distance>dl/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,i,a))},ml.prototype.addHalfVertex=function(t,e,r,n,i,a,o){var s=t.x,l=t.y,c=.5*(this.lineClips?this.scaledDistance*(dl-1):this.scaledDistance);if(this.layoutVertexArray.emplaceBack((s<<1)+(n?1:0),(l<<1)+(i?1:0),Math.round(63*e)+128,Math.round(63*r)+128,1+(0===a?0:a<0?-1:1)|(63&c)<<2,c>>6),this.lineClips){var u=(this.scaledDistance-this.lineClips.start)/(this.lineClips.end-this.lineClips.start);this.layoutVertexArray2.emplaceBack(u,this.lineClipsArray.length)}var 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r=(7&t)<<4;e.buf[e.pos++]|=r|((t>>>=3)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t)))))}(n,e)}(t,this):(this.realloc(4),this.buf[this.pos++]=127&t|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=t>>>7&127))))},writeSVarint:function(t){this.writeVarint(t<0?2*-t-1:2*t)},writeBoolean:function(t){this.writeVarint(Boolean(t))},writeString:function(t){t=String(t),this.realloc(4*t.length),this.pos++;var e=this.pos;this.pos=function(t,e,r){for(var n,i,a=0;a<e.length;a++){if((n=e.charCodeAt(a))>55295&&n<57344){if(!i){n>56319||a+1===e.length?(t[r++]=239,t[r++]=191,t[r++]=189):i=n;continue}if(n<56320){t[r++]=239,t[r++]=191,t[r++]=189,i=n;continue}n=i-55296<<10|n-56320|65536,i=null}else i&&(t[r++]=239,t[r++]=191,t[r++]=189,i=null);n<128?t[r++]=n:(n<2048?t[r++]=n>>6|192:(n<65536?t[r++]=n>>12|224:(t[r++]=n>>18|240,t[r++]=n>>12&63|128),t[r++]=n>>6&63|128),t[r++]=63&n|128)}return r}(this.buf,t,this.pos);var r=this.pos-e;r>=128&&Nl(e,r,this),this.pos=e-1,this.writeVarint(r),this.pos+=r},writeFloat:function(t){this.realloc(4),Il(this.buf,t,this.pos,!0,23,4),this.pos+=4},writeDouble:function(t){this.realloc(8),Il(this.buf,t,this.pos,!0,52,8),this.pos+=8},writeBytes:function(t){var e=t.length;this.writeVarint(e),this.realloc(e);for(var r=0;r<e;r++)this.buf[this.pos++]=t[r]},writeRawMessage:function(t,e){this.pos++;var r=this.pos;t(e,this);var n=this.pos-r;n>=128&&Nl(r,n,this),this.pos=r-1,this.writeVarint(n),this.pos+=n},writeMessage:function(t,e,r){this.writeTag(t,zl.Bytes),this.writeRawMessage(e,r)},writePackedVarint:function(t,e){e.length&&this.writeMessage(t,jl,e)},writePackedSVarint:function(t,e){e.length&&this.writeMessage(t,Ul,e)},writePackedBoolean:function(t,e){e.length&&this.writeMessage(t,Hl,e)},writePackedFloat:function(t,e){e.length&&this.writeMessage(t,Vl,e)},writePackedDouble:function(t,e){e.length&&this.writeMessage(t,ql,e)},writePackedFixed32:function(t,e){e.length&&this.writeMessage(t,Gl,e)},writePackedSFixed32:function(t,e){e.length&&this.writeMessage(t,Zl,e)},writePackedFixed64:function(t,e){e.length&&this.writeMessage(t,Wl,e)},writePackedSFixed64:function(t,e){e.length&&this.writeMessage(t,Yl,e)},writeBytesField:function(t,e){this.writeTag(t,zl.Bytes),this.writeBytes(e)},writeFixed32Field:function(t,e){this.writeTag(t,zl.Fixed32),this.writeFixed32(e)},writeSFixed32Field:function(t,e){this.writeTag(t,zl.Fixed32),this.writeSFixed32(e)},writeFixed64Field:function(t,e){this.writeTag(t,zl.Fixed64),this.writeFixed64(e)},writeSFixed64Field:function(t,e){this.writeTag(t,zl.Fixed64),this.writeSFixed64(e)},writeVarintField:function(t,e){this.writeTag(t,zl.Varint),this.writeVarint(e)},writeSVarintField:function(t,e){this.writeTag(t,zl.Varint),this.writeSVarint(e)},writeStringField:function(t,e){this.writeTag(t,zl.Bytes),this.writeString(e)},writeFloatField:function(t,e){this.writeTag(t,zl.Fixed32),this.writeFloat(e)},writeDoubleField:function(t,e){this.writeTag(t,zl.Fixed64),this.writeDouble(e)},writeBooleanField:function(t,e){this.writeVarintField(t,Boolean(e))}};var Kl=3;function Ql(t,e,r){1===t&&r.readMessage(tc,e)}function tc(t,e,r){if(3===t){var n=r.readMessage(ec,{}),i=n.id,a=n.bitmap,o=n.width,s=n.height,l=n.left,c=n.top,u=n.advance;e.push({id:i,bitmap:new Jo({width:o+2*Kl,height:s+2*Kl},a),metrics:{width:o,height:s,left:l,top:c,advance:u}})}}function ec(t,e,r){1===t?e.id=r.readVarint():2===t?e.bitmap=r.readBytes():3===t?e.width=r.readVarint():4===t?e.height=r.readVarint():5===t?e.left=r.readSVarint():6===t?e.top=r.readSVarint():7===t&&(e.advance=r.readVarint())}var rc=Kl;function nc(t){for(var e=0,r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];e+=a.w*a.h,r=Math.max(r,a.w)}t.sort((function(t,e){return e.h-t.h}));for(var o=[{x:0,y:0,w:Math.max(Math.ceil(Math.sqrt(e/.95)),r),h:1/0}],s=0,l=0,c=0,u=t;c<u.length;c+=1)for(var h=u[c],f=o.length-1;f>=0;f--){var p=o[f];if(!(h.w>p.w||h.h>p.h)){if(h.x=p.x,h.y=p.y,l=Math.max(l,h.y+h.h),s=Math.max(s,h.x+h.w),h.w===p.w&&h.h===p.h){var d=o.pop();f<o.length&&(o[f]=d)}else 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Ko({width:o||1,height:s||1});for(var c in t){var u=t[c],h=r[c].paddedRect;Ko.copy(u.data,l,{x:0,y:0},{x:h.x+ic,y:h.y+ic},u.data)}for(var f in e){var p=e[f],d=n[f].paddedRect,m=d.x+ic,g=d.y+ic,y=p.data.width,v=p.data.height;Ko.copy(p.data,l,{x:0,y:0},{x:m,y:g},p.data),Ko.copy(p.data,l,{x:0,y:v-1},{x:m,y:g-1},{width:y,height:1}),Ko.copy(p.data,l,{x:0,y:0},{x:m,y:g+v},{width:y,height:1}),Ko.copy(p.data,l,{x:y-1,y:0},{x:m-1,y:g},{width:1,height:v}),Ko.copy(p.data,l,{x:0,y:0},{x:m+y,y:g},{width:1,height:v})}this.image=l,this.iconPositions=r,this.patternPositions=n};sc.prototype.addImages=function(t,e,r){for(var n in t){var i=t[n],a={x:0,y:0,w:i.data.width+2*ic,h:i.data.height+2*ic};r.push(a),e[n]=new ac(a,i),i.hasRenderCallback&&this.haveRenderCallbacks.push(n)}},sc.prototype.patchUpdatedImages=function(t,e){for(var r in t.dispatchRenderCallbacks(this.haveRenderCallbacks),t.updatedImages)this.patchUpdatedImage(this.iconPositions[r],t.getImage(r),e),this.patchUpdatedImage(this.patternPositions[r],t.getImage(r),e)},sc.prototype.patchUpdatedImage=function(t,e,r){if(t&&e&&t.version!==e.version){t.version=e.version;var n=t.tl,i=n[0],a=n[1];r.update(e.data,void 0,{x:i,y:a})}},oi(\"ImagePosition\",ac),oi(\"ImageAtlas\",sc);var lc={horizontal:1,vertical:2,horizontalOnly:3},cc=-17;var uc=function(){this.scale=1,this.fontStack=\"\",this.imageName=null};uc.forText=function(t,e){var r=new uc;return r.scale=t||1,r.fontStack=e,r},uc.forImage=function(t){var e=new uc;return e.imageName=t,e};var hc=function(){this.text=\"\",this.sectionIndex=[],this.sections=[],this.imageSectionID=null};function fc(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m){var g,y=hc.fromFeature(t,i);h===lc.vertical&&y.verticalizePunctuation();var v=zi.processBidirectionalText,x=zi.processStyledBidirectionalText;if(v&&1===y.sections.length){g=[];for(var _=0,b=v(y.toString(),_c(y,c,a,e,n,p,d));_<b.length;_+=1){var w=b[_],T=new hc;T.text=w,T.sections=y.sections;for(var k=0;k<w.length;k++)T.sectionIndex.push(0);g.push(T)}}else if(x){g=[];for(var A=0,M=x(y.text,y.sectionIndex,_c(y,c,a,e,n,p,d));A<M.length;A+=1){var S=M[A],E=new hc;E.text=S[0],E.sectionIndex=S[1],E.sections=y.sections,g.push(E)}}else g=function(t,e){for(var r=[],n=t.text,i=0,a=0,o=e;a<o.length;a+=1){var s=o[a];r.push(t.substring(i,s)),i=s}return i<n.length&&r.push(t.substring(i,n.length)),r}(y,_c(y,c,a,e,n,p,d));var C=[],L={positionedLines:C,text:y.toString(),top:u[1],bottom:u[1],left:u[0],right:u[0],writingMode:h,iconsInText:!1,verticalizable:!1};return function(t,e,r,n,i,a,o,s,l,c,u,h){for(var f=0,p=cc,d=0,m=0,g=\"right\"===s?1:\"left\"===s?0:.5,y=0,v=0,x=i;v<x.length;v+=1){var _=x[v];_.trim();var b=_.getMaxScale(),w=(b-1)*Cl,T={positionedGlyphs:[],lineOffset:0};t.positionedLines[y]=T;var k=T.positionedGlyphs,A=0;if(_.length()){for(var M=0;M<_.length();M++){var S=_.getSection(M),E=_.getSectionIndex(M),C=_.getCharCode(M),L=0,I=null,P=null,z=null,O=Cl,D=!(l===lc.horizontal||!u&&!mi(C)||u&&(pc[C]||yi(C)));if(S.imageName){var R=n[S.imageName];if(!R)continue;z=S.imageName,t.iconsInText=t.iconsInText||!0,P=R.paddedRect;var F=R.displaySize;S.scale=S.scale*Cl/h,I={width:F[0],height:F[1],left:ic,top:-rc,advance:D?F[1]:F[0]},L=w+(Cl-F[1]*S.scale),O=I.advance;var B=D?F[0]*S.scale-Cl*b:F[1]*S.scale-Cl*b;B>0&&B>A&&(A=B)}else{var N=r[S.fontStack],j=N&&N[C];if(j&&j.rect)P=j.rect,I=j.metrics;else{var U=e[S.fontStack],V=U&&U[C];if(!V)continue;I=V.metrics}L=(b-S.scale)*Cl}D?(t.verticalizable=!0,k.push({glyph:C,imageName:z,x:f,y:p+L,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:I,rect:P}),f+=O*S.scale+c):(k.push({glyph:C,imageName:z,x:f,y:p+L,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:I,rect:P}),f+=I.advance*S.scale+c)}if(0!==k.length){var q=f-c;d=Math.max(q,d),wc(k,0,k.length-1,g,A)}f=0;var H=a*b+A;T.lineOffset=Math.max(A,w),p+=H,m=Math.max(H,m),++y}else p+=a,++y}var G=p-cc,Z=bc(o),W=Z.horizontalAlign,Y=Z.verticalAlign;(function(t,e,r,n,i,a,o,s,l){var c=(e-r)*i,u=0;u=a!==o?-s*n-cc:(-n*l+.5)*o;for(var h=0,f=t;h<f.length;h+=1)for(var p=0,d=f[h].positionedGlyphs;p<d.length;p+=1){var m=d[p];m.x+=c,m.y+=u}})(t.positionedLines,g,W,Y,d,m,a,G,i.length),t.top+=-Y*G,t.bottom=t.top+G,t.left+=-W*d,t.right=t.left+d}(L,e,r,n,g,o,s,l,h,c,f,m),!function(t){for(var e=0,r=t;e<r.length;e+=1)if(0!==r[e].positionedGlyphs.length)return!1;return!0}(C)&&L}hc.fromFeature=function(t,e){for(var r=new hc,n=0;n<t.sections.length;n++){var i=t.sections[n];i.image?r.addImageSection(i):r.addTextSection(i,e)}return r},hc.prototype.length=function(){return this.text.length},hc.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},hc.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},hc.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},hc.prototype.verticalizePunctuation=function(){this.text=function(t){for(var e=\"\",r=0;r<t.length;r++){var n=t.charCodeAt(r+1)||null,i=t.charCodeAt(r-1)||null;n&&gi(n)&&!El[t[r+1]]||i&&gi(i)&&!El[t[r-1]]||!El[t[r]]?e+=t[r]:e+=El[t[r]]}return e}(this.text)},hc.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&pc[this.text.charCodeAt(e)];e++)t++;for(var r=this.text.length,n=this.text.length-1;n>=0&&n>=t&&pc[this.text.charCodeAt(n)];n--)r--;this.text=this.text.substring(t,r),this.sectionIndex=this.sectionIndex.slice(t,r)},hc.prototype.substring=function(t,e){var r=new hc;return r.text=this.text.substring(t,e),r.sectionIndex=this.sectionIndex.slice(t,e),r.sections=this.sections,r},hc.prototype.toString=function(){return this.text},hc.prototype.getMaxScale=function(){var t=this;return this.sectionIndex.reduce((function(e,r){return Math.max(e,t.sections[r].scale)}),0)},hc.prototype.addTextSection=function(t,e){this.text+=t.text,this.sections.push(uc.forText(t.scale,t.fontStack||e));for(var r=this.sections.length-1,n=0;n<t.text.length;++n)this.sectionIndex.push(r)},hc.prototype.addImageSection=function(t){var e=t.image?t.image.name:\"\";if(0!==e.length){var r=this.getNextImageSectionCharCode();r?(this.text+=String.fromCharCode(r),this.sections.push(uc.forImage(e)),this.sectionIndex.push(this.sections.length-1)):k(\"Reached maximum number of images 6401\")}else k(\"Can't add FormattedSection with an empty image.\")},hc.prototype.getNextImageSectionCharCode=function(){return this.imageSectionID?this.imageSectionID>=63743?null:++this.imageSectionID:(this.imageSectionID=57344,this.imageSectionID)};var pc={9:!0,10:!0,11:!0,12:!0,13:!0,32:!0},dc={};function mc(t,e,r,n,i,a){if(e.imageName){var o=n[e.imageName];return o?o.displaySize[0]*e.scale*Cl/a+i:0}var s=r[e.fontStack],l=s&&s[t];return 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a(0,0);u.push({tl:O,tr:D,bl:R,br:F,tex:y,writingMode:e.writingMode,glyphOffset:S,sectionIndex:g.sectionIndex,isSDF:x,pixelOffsetTL:W,pixelOffsetBR:Y,minFontScaleX:0,minFontScaleY:0})}}return u}(0,r,l,i,o,s,n,t.allowVerticalPlacement),y=t.textSizeData,v=null;\"source\"===y.kind?(v=[Ac*i.layout.get(\"text-size\").evaluate(s,{})])[0]>eu&&k(t.layerIds[0]+': Value for \"text-size\" is >= '+tu+'. Reduce your \"text-size\".'):\"composite\"===y.kind&&((v=[Ac*d.compositeTextSizes[0].evaluate(s,{},m),Ac*d.compositeTextSizes[1].evaluate(s,{},m)])[0]>eu||v[1]>eu)&&k(t.layerIds[0]+': Value for \"text-size\" is >= '+tu+'. Reduce your \"text-size\".'),t.addSymbols(t.text,g,v,l,o,s,u,e,c.lineStartIndex,c.lineLength,p,m);for(var x=0,_=h;x<_.length;x+=1)f[_[x]]=t.text.placedSymbolArray.length-1;return 4*g.length}function nu(t){for(var e in t)return t[e];return null}function iu(t,e,r,n){var i=t.compareText;if(e in i){for(var a=i[e],o=a.length-1;o>=0;o--)if(n.dist(a[o])<r)return!0}else i[e]=[];return i[e].push(n),!1}var au=tl.VectorTileFeature.types,ou=[{name:\"a_fade_opacity\",components:1,type:\"Uint8\",offset:0}];function su(t,e,r,n,i,a,o,s,l,c,u,h,f){var p=s?Math.min(eu,Math.round(s[0])):0,d=s?Math.min(eu,Math.round(s[1])):0;t.emplaceBack(e,r,Math.round(32*n),Math.round(32*i),a,o,(p<<1)+(l?1:0),d,16*c,16*u,256*h,256*f)}function lu(t,e,r){t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r)}function cu(t){for(var e=0,r=t.sections;e<r.length;e+=1)if(_i(r[e].text))return!0;return!1}var uu=function(t){this.layoutVertexArray=new la,this.indexArray=new ma,this.programConfigurations=t,this.segments=new Da,this.dynamicLayoutVertexArray=new ca,this.opacityVertexArray=new ua,this.placedSymbolArray=new Sa};uu.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length&&0===this.indexArray.length&&0===this.dynamicLayoutVertexArray.length&&0===this.opacityVertexArray.length},uu.prototype.upload=function(t,e,r,n){this.isEmpty()||(r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,wl.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,Tl.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,ou,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t))},uu.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},oi(\"SymbolBuffers\",uu);var hu=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new Da,this.collisionVertexArray=new da};hu.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,kl.members,!0)},hu.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},oi(\"CollisionBuffers\",hu);var fu=function(t){this.collisionBoxArray=t.collisionBoxArray,this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.pixelRatio=t.pixelRatio,this.sourceLayerIndex=t.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=Bo([]),this.placementViewportMatrix=Bo([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=Mc(this.zoom,e[\"text-size\"]),this.iconSizeData=Mc(this.zoom,e[\"icon-size\"]);var r=this.layers[0].layout,n=r.get(\"symbol-sort-key\"),i=r.get(\"symbol-z-order\");this.canOverlap=r.get(\"text-allow-overlap\")||r.get(\"icon-allow-overlap\")||r.get(\"text-ignore-placement\")||r.get(\"icon-ignore-placement\"),this.sortFeaturesByKey=\"viewport-y\"!==i&&void 0!==n.constantOr(1);var a=\"viewport-y\"===i||\"auto\"===i&&!this.sortFeaturesByKey;this.sortFeaturesByY=a&&this.canOverlap,\"point\"===r.get(\"symbol-placement\")&&(this.writingModes=r.get(\"text-writing-mode\").map((function(t){return lc[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};fu.prototype.createArrays=function(){this.text=new uu(new uo(this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new uu(new uo(this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new La,this.lineVertexArray=new Ia,this.symbolInstances=new Ca},fu.prototype.calculateGlyphDependencies=function(t,e,r,n,i){for(var a=0;a<t.length;a++)if(e[t.charCodeAt(a)]=!0,(r||n)&&i){var o=El[t.charAt(a)];o&&(e[o.charCodeAt(0)]=!0)}},fu.prototype.populate=function(t,e,r){var n=this.layers[0],i=n.layout,a=i.get(\"text-font\"),o=i.get(\"text-field\"),s=i.get(\"icon-image\"),l=(\"constant\"!==o.value.kind||o.value.value instanceof fe&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&(\"constant\"!==a.value.kind||a.value.value.length>0),c=\"constant\"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,u=i.get(\"symbol-sort-key\");if(this.features=[],l||c){for(var h=e.iconDependencies,f=e.glyphDependencies,p=e.availableImages,d=new Oi(this.zoom),m=0,g=t;m<g.length;m+=1){var y=g[m],v=y.feature,x=y.id,_=y.index,b=y.sourceLayerIndex,w=n._featureFilter.needGeometry,T=vo(v,w);if(n._featureFilter.filter(d,T,r)){w||(T.geometry=yo(v));var k=void 0;if(l){var A=n.getValueAndResolveTokens(\"text-field\",T,r,p),M=fe.factory(A);cu(M)&&(this.hasRTLText=!0),(!this.hasRTLText||\"unavailable\"===Ii()||this.hasRTLText&&zi.isParsed())&&(k=Sl(M,n,T))}var S=void 0;if(c){var E=n.getValueAndResolveTokens(\"icon-image\",T,r,p);S=E instanceof pe?E:pe.fromString(E)}if(k||S){var C=this.sortFeaturesByKey?u.evaluate(T,{},r):void 0,L={id:x,text:k,icon:S,index:_,sourceLayerIndex:b,geometry:T.geometry,properties:v.properties,type:au[v.type],sortKey:C};if(this.features.push(L),S&&(h[S.name]=!0),k){var I=a.evaluate(T,{},r).join(\",\"),P=\"map\"===i.get(\"text-rotation-alignment\")&&\"point\"!==i.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(lc.vertical)>=0;for(var z=0,O=k.sections;z<O.length;z+=1){var D=O[z];if(D.image)h[D.image.name]=!0;else{var R=di(k.toString()),F=D.fontStack||I,B=f[F]=f[F]||{};this.calculateGlyphDependencies(D.text,B,P,this.allowVerticalPlacement,R)}}}}}}\"line\"===i.get(\"symbol-placement\")&&(this.features=function(t){var e={},r={},n=[],i=0;function a(e){n.push(t[e]),i++}function o(t,e,i){var a=r[t];return delete r[t],r[e]=a,n[a].geometry[0].pop(),n[a].geometry[0]=n[a].geometry[0].concat(i[0]),a}function s(t,r,i){var a=e[r];return delete e[r],e[t]=a,n[a].geometry[0].shift(),n[a].geometry[0]=i[0].concat(n[a].geometry[0]),a}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+\":\"+n.x+\":\"+n.y}for(var c=0;c<t.length;c++){var u=t[c],h=u.geometry,f=u.text?u.text.toString():null;if(f){var p=l(f,h),d=l(f,h,!0);if(p in r&&d in e&&r[p]!==e[d]){var m=s(p,d,h),g=o(p,d,n[m].geometry);delete e[p],delete r[d],r[l(f,n[g].geometry,!0)]=g,n[m].geometry=null}else p in r?o(p,d,h):d in e?s(p,d,h):(a(c),e[p]=i-1,r[d]=i-1)}else a(c)}return n.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}))}},fu.prototype.update=function(t,e,r){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(t,e,this.layers,r),this.icon.programConfigurations.updatePaintArrays(t,e,this.layers,r))},fu.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},fu.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},fu.prototype.upload=function(t){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(t),this.iconCollisionBox.upload(t)),this.text.upload(t,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(t,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},fu.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},fu.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},fu.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),i=t.dist(e[t.segment]),a={},o=t.segment+1;o<e.length;o++)a[o]={x:e[o].x,y:e[o].y,tileUnitDistanceFromAnchor:n},o<e.length-1&&(n+=e[o+1].dist(e[o]));for(var s=t.segment||0;s>=0;s--)a[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:i},s>0&&(i+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var c=a[l];this.lineVertexArray.emplaceBack(c.x,c.y,c.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},fu.prototype.addSymbols=function(t,e,r,n,i,a,o,s,l,c,u,h){for(var f=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,f,this.canOverlap?a.sortKey:void 0),m=this.glyphOffsetArray.length,g=d.vertexLength,y=this.allowVerticalPlacement&&o===lc.vertical?Math.PI/2:0,v=a.text&&a.text.sections,x=0;x<e.length;x++){var _=e[x],b=_.tl,w=_.tr,T=_.bl,k=_.br,A=_.tex,M=_.pixelOffsetTL,S=_.pixelOffsetBR,E=_.minFontScaleX,C=_.minFontScaleY,L=_.glyphOffset,I=_.isSDF,P=_.sectionIndex,z=d.vertexLength,O=L[1];su(p,s.x,s.y,b.x,O+b.y,A.x,A.y,r,I,M.x,M.y,E,C),su(p,s.x,s.y,w.x,O+w.y,A.x+A.w,A.y,r,I,S.x,M.y,E,C),su(p,s.x,s.y,T.x,O+T.y,A.x,A.y+A.h,r,I,M.x,S.y,E,C),su(p,s.x,s.y,k.x,O+k.y,A.x+A.w,A.y+A.h,r,I,S.x,S.y,E,C),lu(t.dynamicLayoutVertexArray,s,y),f.emplaceBack(z,z+1,z+2),f.emplaceBack(z+1,z+2,z+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(L[0]),x!==e.length-1&&P===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,a,a.index,{},h,v&&v[P])}t.placedSymbolArray.emplaceBack(s.x,s.y,m,this.glyphOffsetArray.length-m,g,l,c,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,u)},fu.prototype._addCollisionDebugVertex=function(t,e,r,n,i,a){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,i,Math.round(a.x),Math.round(a.y))},fu.prototype.addCollisionDebugVertices=function(t,e,r,n,i,o,s){var l=i.segments.prepareSegment(4,i.layoutVertexArray,i.indexArray),c=l.vertexLength,u=i.layoutVertexArray,h=i.collisionVertexArray,f=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(u,h,o,f,p,new a(t,e)),this._addCollisionDebugVertex(u,h,o,f,p,new a(r,e)),this._addCollisionDebugVertex(u,h,o,f,p,new a(r,n)),this._addCollisionDebugVertex(u,h,o,f,p,new a(t,n)),l.vertexLength+=4;var d=i.indexArray;d.emplaceBack(c,c+1),d.emplaceBack(c+1,c+2),d.emplaceBack(c+2,c+3),d.emplaceBack(c+3,c),l.primitiveLength+=4},fu.prototype.addDebugCollisionBoxes=function(t,e,r,n){for(var i=t;i<e;i++){var a=this.collisionBoxArray.get(i),o=a.x1,s=a.y1,l=a.x2,c=a.y2;this.addCollisionDebugVertices(o,s,l,c,n?this.textCollisionBox:this.iconCollisionBox,a.anchorPoint,r)}},fu.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new hu(fa,Al.members,ba),this.iconCollisionBox=new hu(fa,Al.members,ba);for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e,!1),this.addDebugCollisionBoxes(e.verticalIconBoxStartIndex,e.verticalIconBoxEndIndex,e,!1)}},fu.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,i,a,o,s,l){for(var c={},u=e;u<r;u++){var h=t.get(u);c.textBox={x1:h.x1,y1:h.y1,x2:h.x2,y2:h.y2,anchorPointX:h.anchorPointX,anchorPointY:h.anchorPointY},c.textFeatureIndex=h.featureIndex;break}for(var f=n;f<i;f++){var p=t.get(f);c.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},c.verticalTextFeatureIndex=p.featureIndex;break}for(var d=a;d<o;d++){var m=t.get(d);c.iconBox={x1:m.x1,y1:m.y1,x2:m.x2,y2:m.y2,anchorPointX:m.anchorPointX,anchorPointY:m.anchorPointY},c.iconFeatureIndex=m.featureIndex;break}for(var g=s;g<l;g++){var y=t.get(g);c.verticalIconBox={x1:y.x1,y1:y.y1,x2:y.x2,y2:y.y2,anchorPointX:y.anchorPointX,anchorPointY:y.anchorPointY},c.verticalIconFeatureIndex=y.featureIndex;break}return c},fu.prototype.deserializeCollisionBoxes=function(t){this.collisionArrays=[];for(var e=0;e<this.symbolInstances.length;e++){var r=this.symbolInstances.get(e);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(t,r.textBoxStartIndex,r.textBoxEndIndex,r.verticalTextBoxStartIndex,r.verticalTextBoxEndIndex,r.iconBoxStartIndex,r.iconBoxEndIndex,r.verticalIconBoxStartIndex,r.verticalIconBoxEndIndex))}},fu.prototype.hasTextData=function(){return this.text.segments.get().length>0},fu.prototype.hasIconData=function(){return this.icon.segments.get().length>0},fu.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},fu.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},fu.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},fu.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i<n;i+=4)t.indexArray.emplaceBack(i,i+1,i+2),t.indexArray.emplaceBack(i+1,i+2,i+3)},fu.prototype.getSortedSymbolIndexes=function(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;for(var e=Math.sin(t),r=Math.cos(t),n=[],i=[],a=[],o=0;o<this.symbolInstances.length;++o){a.push(o);var s=this.symbolInstances.get(o);n.push(0|Math.round(e*s.anchorX+r*s.anchorY)),i.push(s.featureIndex)}return a.sort((function(t,e){return n[t]-n[e]||i[e]-i[t]})),a},fu.prototype.addToSortKeyRanges=function(t,e){var r=this.sortKeyRanges[this.sortKeyRanges.length-1];r&&r.sortKey===e?r.symbolInstanceEnd=t+1:this.sortKeyRanges.push({sortKey:e,symbolInstanceStart:t,symbolInstanceEnd:t+1})},fu.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r<n.length;r+=1){var i=n[r],a=this.symbolInstances.get(i);this.featureSortOrder.push(a.featureIndex),[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},oi(\"SymbolBucket\",fu,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),fu.MAX_GLYPHS=65535,fu.addDynamicAttributes=lu;var pu=new Yi({\"symbol-placement\":new qi(Ft.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new qi(Ft.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new qi(Ft.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new Hi(Ft.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new qi(Ft.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new qi(Ft.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new qi(Ft.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new qi(Ft.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new qi(Ft.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new Hi(Ft.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new qi(Ft.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new qi(Ft.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new Hi(Ft.layout_symbol[\"icon-image\"]),\"icon-rotate\":new Hi(Ft.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new qi(Ft.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new qi(Ft.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new Hi(Ft.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new Hi(Ft.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new qi(Ft.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new qi(Ft.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new qi(Ft.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new Hi(Ft.layout_symbol[\"text-field\"]),\"text-font\":new Hi(Ft.layout_symbol[\"text-font\"]),\"text-size\":new Hi(Ft.layout_symbol[\"text-size\"]),\"text-max-width\":new Hi(Ft.layout_symbol[\"text-max-width\"]),\"text-line-height\":new qi(Ft.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new Hi(Ft.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new Hi(Ft.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new Hi(Ft.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new qi(Ft.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new Hi(Ft.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new qi(Ft.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new qi(Ft.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new Hi(Ft.layout_symbol[\"text-rotate\"]),\"text-padding\":new qi(Ft.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new qi(Ft.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new Hi(Ft.layout_symbol[\"text-transform\"]),\"text-offset\":new Hi(Ft.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new qi(Ft.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new qi(Ft.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new qi(Ft.layout_symbol[\"text-optional\"])}),du={paint:new Yi({\"icon-opacity\":new Hi(Ft.paint_symbol[\"icon-opacity\"]),\"icon-color\":new Hi(Ft.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new Hi(Ft.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new Hi(Ft.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new Hi(Ft.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new qi(Ft.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new qi(Ft.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new Hi(Ft.paint_symbol[\"text-opacity\"]),\"text-color\":new Hi(Ft.paint_symbol[\"text-color\"],{runtimeType:Xt,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new Hi(Ft.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new Hi(Ft.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new Hi(Ft.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new qi(Ft.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new qi(Ft.paint_symbol[\"text-translate-anchor\"])}),layout:pu},mu=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Gt,this.defaultValue=t};mu.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},mu.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},mu.prototype.outputDefined=function(){return!1},mu.prototype.serialize=function(){return null},oi(\"FormatSectionOverride\",mu,{omit:[\"defaultValue\"]});var gu=function(t){function e(e){t.call(this,e,du)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),\"auto\"===this.layout.get(\"icon-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"icon-rotation-alignment\"]=\"map\":this.layout._values[\"icon-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"text-rotation-alignment\"]=\"map\":this.layout._values[\"text-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-pitch-alignment\")&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")),\"auto\"===this.layout.get(\"icon-pitch-alignment\")&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),\"point\"===this.layout.get(\"symbol-placement\")){var n=this.layout.get(\"text-writing-mode\");if(n){for(var i=[],a=0,o=n;a<o.length;a+=1){var s=o[a];i.indexOf(s)<0&&i.push(s)}this.layout._values[\"text-writing-mode\"]=i}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()},e.prototype.getValueAndResolveTokens=function(t,e,r,n){var i=this.layout.get(t).evaluate(e,{},r,n),a=this._unevaluatedLayout._values[t];return a.isDataDriven()||un(a.value)||!i?i:function(t,e){return e.replace(/{([^{}]+)}/g,(function(e,r){return r in t?String(t[r]):\"\"}))}(e.properties,i)},e.prototype.createBucket=function(t){return new fu(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=du.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var i,a=this.paint.get(n),o=new mu(a),s=new cn(o,a.property.specification);i=\"constant\"===a.value.kind||\"source\"===a.value.kind?new fn(\"source\",s):new pn(\"composite\",s,a.value.zoomStops,a.value._interpolationType),this.paint._values[n]=new Ui(a.property,i,a.parameters)}}},e.prototype._handleOverridablePaintPropertyUpdate=function(t,r,n){return!(!this.layout||r.isDataDriven()||n.isDataDriven())&&e.hasPaintOverride(this.layout,t)},e.hasPaintOverride=function(t,e){var r=t.get(\"text-field\"),n=du.paint.properties[e],i=!1,a=function(t){for(var e=0,r=t;e<r.length;e+=1){var a=r[e];if(n.overrides&&n.overrides.hasOverride(a))return void(i=!0)}};if(\"constant\"===r.value.kind&&r.value.value instanceof fe)a(r.value.value.sections);else if(\"source\"===r.value.kind){var o=function(t){if(!i)if(t instanceof ve&&ge(t.value)===Qt){var e=t.value;a(e.sections)}else t instanceof we?a(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return i},e}($i),yu={paint:new Yi({\"background-color\":new qi(Ft.paint_background[\"background-color\"]),\"background-pattern\":new Zi(Ft.paint_background[\"background-pattern\"]),\"background-opacity\":new qi(Ft.paint_background[\"background-opacity\"])})},vu=function(t){function e(e){t.call(this,e,yu)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}($i),xu={paint:new Yi({\"raster-opacity\":new qi(Ft.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new qi(Ft.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new qi(Ft.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new qi(Ft.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new qi(Ft.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new qi(Ft.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new qi(Ft.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new qi(Ft.paint_raster[\"raster-fade-duration\"])})},_u=function(t){function e(e){t.call(this,e,xu)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}($i);var bu=function(t){function e(e){t.call(this,e,{}),this.implementation=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.is3D=function(){return\"3d\"===this.implementation.renderingMode},e.prototype.hasOffscreenPass=function(){return void 0!==this.implementation.prerender},e.prototype.recalculate=function(){},e.prototype.updateTransitions=function(){},e.prototype.hasTransition=function(){},e.prototype.serialize=function(){},e.prototype.onAdd=function(t){this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},e.prototype.onRemove=function(t){this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},e}($i),wu={circle:Go,heatmap:es,hillshade:ns,fill:Hs,\"fill-extrusion\":sl,line:_l,symbol:gu,background:vu,raster:_u};var Tu=s.HTMLImageElement,ku=s.HTMLCanvasElement,Au=s.HTMLVideoElement,Mu=s.ImageData,Su=s.ImageBitmap,Eu=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Eu.prototype.update=function(t,e,r){var n=t.width,i=t.height,a=!(this.size&&this.size[0]===n&&this.size[1]===i||r),o=this.context,s=o.gl;if(this.useMipmap=Boolean(e&&e.useMipmap),s.bindTexture(s.TEXTURE_2D,this.texture),o.pixelStoreUnpackFlipY.set(!1),o.pixelStoreUnpack.set(1),o.pixelStoreUnpackPremultiplyAlpha.set(this.format===s.RGBA&&(!e||!1!==e.premultiply)),a)this.size=[n,i],t instanceof Tu||t instanceof ku||t instanceof Au||t instanceof Mu||Su&&t instanceof Su?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,i,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},c=l.x,u=l.y;t instanceof Tu||t instanceof ku||t instanceof Au||t instanceof Mu||Su&&t instanceof Su?s.texSubImage2D(s.TEXTURE_2D,0,c,u,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,c,u,n,i,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Eu.prototype.bind=function(t,e,r){var n=this.context.gl;n.bindTexture(n.TEXTURE_2D,this.texture),r!==n.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(r=n.LINEAR),t!==this.filter&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,t),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,r||t),this.filter=t),e!==this.wrap&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,e),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,e),this.wrap=e)},Eu.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Eu.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var Cu=function(t){var e=this;this._callback=t,this._triggered=!1,\"undefined\"!=typeof MessageChannel&&(this._channel=new MessageChannel,this._channel.port2.onmessage=function(){e._triggered=!1,e._callback()})};Cu.prototype.trigger=function(){var t=this;this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout((function(){t._triggered=!1,t._callback()}),0))},Cu.prototype.remove=function(){delete this._channel,this._callback=function(){}};var Lu=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},v([\"receive\",\"process\"],this),this.invoker=new Cu(this.process),this.target.addEventListener(\"message\",this.receive,!1),this.globalScope=S()?t:s};function Iu(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return[t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}Lu.prototype.send=function(t,e,r,n,i){var a=this;void 0===i&&(i=!1);var o=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[o]=r);var s=L(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:i,sourceMapId:this.mapId,data:ui(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:\"<cancel>\",targetMapId:n,sourceMapId:a.mapId})}}},Lu.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(\"<cancel>\"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else S()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},Lu.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},Lu.prototype.processTask=function(t,e){var r=this;if(\"<response>\"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(hi(e.error)):n(null,hi(e.data)))}else{var i=!1,a=L(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:\"<response>\",sourceMapId:r.mapId,error:e?ui(e):null,data:ui(n,a)},a)}:function(t){i=!0},s=null,l=hi(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var c=e.type.split(\".\");s=this.parent.getWorkerSource(e.sourceMapId,c[0],l.source)[c[1]](l,o)}else o(new Error(\"Could not find function \"+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},Lu.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var Pu=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Pu.prototype.setNorthEast=function(t){return this._ne=t instanceof Ou?new Ou(t.lng,t.lat):Ou.convert(t),this},Pu.prototype.setSouthWest=function(t){return this._sw=t instanceof Ou?new Ou(t.lng,t.lat):Ou.convert(t),this},Pu.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Ou)e=t,r=t;else{if(!(t instanceof Pu)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Pu.convert(a))}var o=t;return this.extend(Ou.convert(o))}return this}if(e=t._sw,r=t._ne,!e||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new Ou(e.lng,e.lat),this._ne=new Ou(r.lng,r.lat)),this},Pu.prototype.getCenter=function(){return new Ou((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Pu.prototype.getSouthWest=function(){return this._sw},Pu.prototype.getNorthEast=function(){return this._ne},Pu.prototype.getNorthWest=function(){return new Ou(this.getWest(),this.getNorth())},Pu.prototype.getSouthEast=function(){return new Ou(this.getEast(),this.getSouth())},Pu.prototype.getWest=function(){return this._sw.lng},Pu.prototype.getSouth=function(){return this._sw.lat},Pu.prototype.getEast=function(){return this._ne.lng},Pu.prototype.getNorth=function(){return this._ne.lat},Pu.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Pu.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Pu.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Pu.prototype.contains=function(t){var e=Ou.convert(t),r=e.lng,n=e.lat,i=this._sw.lat<=n&&n<=this._ne.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a},Pu.convert=function(t){return!t||t instanceof Pu?t:new Pu(t)};var zu=6371008.8,Ou=function(t,e){if(isNaN(t)||isNaN(e))throw new Error(\"Invalid LngLat object: (\"+t+\", \"+e+\")\");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")};Ou.prototype.wrap=function(){return new Ou(f(this.lng,-180,180),this.lat)},Ou.prototype.toArray=function(){return[this.lng,this.lat]},Ou.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Ou.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return zu*Math.acos(Math.min(i,1))},Ou.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Pu(new Ou(this.lng-r,this.lat-e),new Ou(this.lng+r,this.lat+e))},Ou.convert=function(t){if(t instanceof Ou)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Ou(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new Ou(Number(\"lng\"in t?t.lng:t.lon),Number(t.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]\")};var Du=2*Math.PI*zu;function Ru(t){return Du*Math.cos(t*Math.PI/180)}function Fu(t){return(180+t)/360}function Bu(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Nu(t,e){return t/Ru(e)}function ju(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var Uu=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};Uu.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Ou.convert(t);return new Uu(Fu(r.lng),Bu(r.lat),Nu(e,r.lat))},Uu.prototype.toLngLat=function(){return new Ou(360*this.x-180,ju(this.y))},Uu.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Ru(ju(e));var t,e},Uu.prototype.meterInMercatorCoordinateUnits=function(){return 1/Du*(t=ju(this.y),1/Math.cos(t*Math.PI/180));var t};var Vu=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=Gu(0,t,t,e,r)};Vu.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},Vu.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Iu(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Iu(256*(r+1),256*(n+1),i),a[0]+\",\"+a[1]+\",\"+o[0]+\",\"+o[1]),l=function(t,e,r){for(var n,i=\"\",a=t;a>0;a--)i+=(e&(n=1<<a-1)?1:0)+(r&n?2:0);return i}(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace(\"{prefix}\",(this.x%16).toString(16)+(this.y%16).toString(16)).replace(\"{z}\",String(this.z)).replace(\"{x}\",String(this.x)).replace(\"{y}\",String(\"tms\"===e?Math.pow(2,this.z)-this.y-1:this.y)).replace(\"{quadkey}\",l).replace(\"{bbox-epsg-3857}\",s)},Vu.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new a((t.x*e-this.x)*po,(t.y*e-this.y)*po)},Vu.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y};var qu=function(t,e){this.wrap=t,this.canonical=e,this.key=Gu(t,e.z,e.z,e.x,e.y)},Hu=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new Vu(r,+n,+i),this.key=Gu(e,t,r,n,i)};function Gu(t,e,r,n,i){(t*=2)<0&&(t=-1*t-1);var a=1<<r;return(a*a*t+a*i+n).toString(36)+r.toString(36)+e.toString(36)}Hu.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},Hu.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new Hu(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Hu(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Hu.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?Gu(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):Gu(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},Hu.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ<this.overscaledZ&&t.canonical.x===this.canonical.x>>e&&t.canonical.y===this.canonical.y>>e},Hu.prototype.children=function(t){if(this.overscaledZ>=t)return[new Hu(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new Hu(e,this.wrap,e,r,n),new Hu(e,this.wrap,e,r+1,n),new Hu(e,this.wrap,e,r,n+1),new Hu(e,this.wrap,e,r+1,n+1)]},Hu.prototype.isLessThan=function(t){return this.wrap<t.wrap||!(this.wrap>t.wrap)&&(this.overscaledZ<t.overscaledZ||!(this.overscaledZ>t.overscaledZ)&&(this.canonical.x<t.canonical.x||!(this.canonical.x>t.canonical.x)&&this.canonical.y<t.canonical.y))},Hu.prototype.wrapped=function(){return new Hu(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},Hu.prototype.unwrapTo=function(t){return new Hu(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},Hu.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},Hu.prototype.toUnwrapped=function(){return new qu(this.wrap,this.canonical)},Hu.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},Hu.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new Uu(t.x-this.wrap,t.y))},oi(\"CanonicalTileID\",Vu),oi(\"OverscaledTileID\",Hu,{omit:[\"posMatrix\"]});var Zu=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError(\"DEM tiles must be square\");if(r&&\"mapbox\"!==r&&\"terrarium\"!==r)return k('\"'+r+'\" is not a valid encoding type. Valid types include \"mapbox\" and \"terrarium\".');this.stride=e.height;var n=this.dim=e.height-2;this.data=new Uint32Array(e.data.buffer),this.encoding=r||\"mapbox\";for(var i=0;i<n;i++)this.data[this._idx(-1,i)]=this.data[this._idx(0,i)],this.data[this._idx(n,i)]=this.data[this._idx(n-1,i)],this.data[this._idx(i,-1)]=this.data[this._idx(i,0)],this.data[this._idx(i,n)]=this.data[this._idx(i,n-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(n,-1)]=this.data[this._idx(n-1,0)],this.data[this._idx(-1,n)]=this.data[this._idx(0,n-1)],this.data[this._idx(n,n)]=this.data[this._idx(n-1,n-1)]};Zu.prototype.get=function(t,e){var r=new Uint8Array(this.data.buffer),n=4*this._idx(t,e);return(\"terrarium\"===this.encoding?this._unpackTerrarium:this._unpackMapbox)(r[n],r[n+1],r[n+2])},Zu.prototype.getUnpackVector=function(){return\"terrarium\"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},Zu.prototype._idx=function(t,e){if(t<-1||t>=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(e+1)*this.stride+(t+1)},Zu.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Zu.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Zu.prototype.getPixels=function(){return new Ko({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Zu.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,c=a;c<o;c++)for(var u=n;u<i;u++)this.data[this._idx(u,c)]=t.data[this._idx(u+s,c+l)]},oi(\"DEMData\",Zu);var Wu=function(t){this._stringToNumber={},this._numberToString=[];for(var e=0;e<t.length;e++){var r=t[e];this._stringToNumber[r]=e,this._numberToString[e]=r}};Wu.prototype.encode=function(t){return this._stringToNumber[t]},Wu.prototype.decode=function(t){return this._numberToString[t]};var Yu=function(t,e,r,n,i){this.type=\"Feature\",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,this.id=i},Xu={geometry:{configurable:!0}};Xu.geometry.get=function(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},Xu.geometry.set=function(t){this._geometry=t},Yu.prototype.toJSON=function(){var t={geometry:this.geometry};for(var e in this)\"_geometry\"!==e&&\"_vectorTileFeature\"!==e&&(t[e]=this[e]);return t},Object.defineProperties(Yu.prototype,Xu);var $u=function(){this.state={},this.stateChanges={},this.deletedStates={}};$u.prototype.updateState=function(t,e,r){var n=String(e);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][n]=this.stateChanges[t][n]||{},p(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var i in this.deletedStates[t]={},this.state[t])i!==n&&(this.deletedStates[t][i]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var a in this.deletedStates[t][n]={},this.state[t][n])r[a]||(this.deletedStates[t][n][a]=null);else for(var o in r)this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]},$u.prototype.removeFeatureState=function(t,e,r){if(null!==this.deletedStates[t]){var n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e)if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null;else this.deletedStates[t]=null}},$u.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},i=this.stateChanges[t]||{},a=p({},n[r],i[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var o=this.deletedStates[t][e];if(null===o)return{};for(var s in o)delete a[s]}return a},$u.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},$u.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var i={};for(var a in this.stateChanges[n])this.state[n][a]||(this.state[n][a]={}),p(this.state[n][a],this.stateChanges[n][a]),i[a]=this.state[n][a];r[n]=i}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var c in this.deletedStates[o]){if(null===this.deletedStates[o][c])this.state[o][c]={};else for(var u=0,h=Object.keys(this.deletedStates[o][c]);u<h.length;u+=1){var f=h[u];delete this.state[o][c][f]}s[c]=this.state[o][c]}r[o]=r[o]||{},p(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t)t[d].setFeatureState(r,e)};var Ju=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new ti(po,16,0),this.grid3D=new ti(po,16,0),this.featureIndexArray=new za,this.promoteId=e};function Ku(t,e,r,n,i){return _(t,(function(t,a){var o=e instanceof Vi?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function Qu(t){for(var e=1/0,r=1/0,n=-1/0,i=-1/0,a=0,o=t;a<o.length;a+=1){var s=o[a];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),i=Math.max(i,s.y)}return{minX:e,minY:r,maxX:n,maxY:i}}function th(t,e){return e-t}Ju.prototype.insert=function(t,e,r,n,i,a){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,i);for(var s=a?this.grid3D:this.grid,l=0;l<e.length;l++){for(var c=e[l],u=[1/0,1/0,-1/0,-1/0],h=0;h<c.length;h++){var f=c[h];u[0]=Math.min(u[0],f.x),u[1]=Math.min(u[1],f.y),u[2]=Math.max(u[2],f.x),u[3]=Math.max(u[3],f.y)}u[0]<po&&u[1]<po&&u[2]>=0&&u[3]>=0&&s.insert(o,u[0],u[1],u[2],u[3])}},Ju.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new tl.VectorTile(new Pl(this.rawTileData)).layers,this.sourceLayerCoder=new Wu(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},Ju.prototype.query=function(t,e,r,n){var i=this;this.loadVTLayers();for(var o=t.params||{},s=po/t.tileSize/t.scale,l=An(o.filter),c=t.queryGeometry,u=t.queryPadding*s,h=Qu(c),f=this.grid.query(h.minX-u,h.minY-u,h.maxX+u,h.maxY+u),p=Qu(t.cameraQueryGeometry),d=0,m=this.grid3D.query(p.minX-u,p.minY-u,p.maxX+u,p.maxY+u,(function(e,r,n,i){return function(t,e,r,n,i){for(var o=0,s=t;o<s.length;o+=1){var l=s[o];if(e<=l.x&&r<=l.y&&n>=l.x&&i>=l.y)return!0}var c=[new a(e,r),new a(e,i),new a(n,i),new a(n,r)];if(t.length>2)for(var u=0,h=c;u<h.length;u+=1)if(Lo(t,h[u]))return!0;for(var f=0;f<t.length-1;f++)if(Io(t[f],t[f+1],c))return!0;return!1}(t.cameraQueryGeometry,e-u,r-u,n+u,i+u)}));d<m.length;d+=1){var g=m[d];f.push(g)}f.sort(th);for(var y,v={},x=function(a){var u=f[a];if(u!==y){y=u;var h=i.featureIndexArray.get(u),p=null;i.loadMatchingFeature(v,h.bucketIndex,h.sourceLayerIndex,h.featureIndex,l,o.layers,o.availableImages,e,r,n,(function(e,r,n){return p||(p=yo(e)),r.queryIntersectsFeature(c,e,n,p,i.z,t.transform,s,t.pixelPosMatrix)}))}},_=0;_<f.length;_++)x(_);return v},Ju.prototype.loadMatchingFeature=function(t,e,r,n,i,a,o,s,l,c,u){var h=this.bucketLayerIDs[e];if(!a||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(a,h)){var f=this.sourceLayerCoder.decode(r),d=this.vtLayers[f].feature(n);if(i.needGeometry){var m=vo(d,!0);if(!i.filter(new Oi(this.tileID.overscaledZ),m,this.tileID.canonical))return}else if(!i.filter(new Oi(this.tileID.overscaledZ),d))return;for(var g=this.getId(d,f),y=0;y<h.length;y++){var v=h[y];if(!(a&&a.indexOf(v)<0)){var x=s[v];if(x){var _={};void 0!==g&&c&&(_=c.getState(x.sourceLayer||\"_geojsonTileLayer\",g));var b=p({},l[v]);b.paint=Ku(b.paint,x.paint,d,_,o),b.layout=Ku(b.layout,x.layout,d,_,o);var w=!u||u(d,x,_);if(w){var T=new Yu(d,this.z,this.x,this.y,g);T.layer=b;var k=t[v];void 0===k&&(k=t[v]=[]),k.push({featureIndex:n,feature:T,intersectionZ:w})}}}}}},Ju.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a,o,s){var l={};this.loadVTLayers();for(var c=An(i),u=0,h=t;u<h.length;u+=1){var f=h[u];this.loadMatchingFeature(l,r,n,f,c,a,o,s,e)}return l},Ju.prototype.hasLayer=function(t){for(var e=0,r=this.bucketLayerIDs;e<r.length;e+=1)for(var n=0,i=r[e];n<i.length;n+=1)if(t===i[n])return!0;return!1},Ju.prototype.getId=function(t,e){var r=t.id;if(this.promoteId){var n=\"string\"==typeof this.promoteId?this.promoteId:this.promoteId[e];\"boolean\"==typeof(r=t.properties[n])&&(r=Number(r))}return r},oi(\"FeatureIndex\",Ju,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});var eh=function(t,e){this.tileID=t,this.uid=m(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state=\"loading\"};eh.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<N.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},eh.prototype.wasRequested=function(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state},eh.prototype.loadVectorData=function(t,e,r){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",t){for(var n in t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){var r={};if(!e)return r;for(var n=function(){var t=a[i],n=t.layerIds.map((function(t){return e.getLayer(t)})).filter(Boolean);if(0!==n.length){t.layers=n,t.stateDependentLayerIds&&(t.stateDependentLayers=t.stateDependentLayerIds.map((function(t){return n.filter((function(e){return e.id===t}))[0]})));for(var o=0,s=n;o<s.length;o+=1){var l=s[o];r[l.id]=t}}},i=0,a=t;i<a.length;i+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var i=this.buckets[n];if(i instanceof fu){if(this.hasSymbolBuckets=!0,!r)break;i.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(var a in this.buckets){var o=this.buckets[a];if(o instanceof fu&&o.hasRTLText){this.hasRTLText=!0,zi.isLoading()||zi.isLoaded()||\"deferred\"!==Ii()||Pi();break}}for(var s in this.queryPadding=0,this.buckets){var l=this.buckets[s];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(s).queryRadius(l))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new Aa},eh.prototype.unloadVectorData=function(){for(var t in this.buckets)this.buckets[t].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state=\"unloaded\"},eh.prototype.getBucket=function(t){return this.buckets[t.id]},eh.prototype.upload=function(t){for(var e in this.buckets){var r=this.buckets[e];r.uploadPending()&&r.upload(t)}var n=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new Eu(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Eu(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},eh.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},eh.prototype.queryRenderedFeatures=function(t,e,r,n,i,a,o,s,l,c){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:c,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},eh.prototype.querySourceFeatures=function(t,e){var r=this.latestFeatureIndex;if(r&&r.rawTileData){var n=r.loadVTLayers(),i=e?e.sourceLayer:\"\",a=n._geojsonTileLayer||n[i];if(a)for(var o=An(e&&e.filter),s=this.tileID.canonical,l=s.z,c=s.x,u=s.y,h={z:l,x:c,y:u},f=0;f<a.length;f++){var p=a.feature(f);if(o.needGeometry){var d=vo(p,!0);if(!o.filter(new Oi(this.tileID.overscaledZ),d,this.tileID.canonical))continue}else if(!o.filter(new Oi(this.tileID.overscaledZ),p))continue;var m=r.getId(p,i),g=new Yu(p,l,c,u,m);g.tile=h,t.push(g)}}},eh.prototype.hasData=function(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state},eh.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},eh.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=E(t.cacheControl);r[\"max-age\"]&&(this.expirationTime=Date.now()+1e3*r[\"max-age\"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),i=!1;if(this.expirationTime>n)i=!1;else if(e)if(this.expirationTime<e)i=!0;else{var a=this.expirationTime-e;a?this.expirationTime=n+Math.max(a,3e4):i=!0}else i=!0;i?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}},eh.prototype.getExpiryTimeout=function(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-(new Date).getTime(),Math.pow(2,31)-1)},eh.prototype.setFeatureState=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData&&0!==Object.keys(t).length){var r=this.latestFeatureIndex.loadVTLayers();for(var n in this.buckets)if(e.style.hasLayer(n)){var i=this.buckets[n],a=i.layers[0].sourceLayer||\"_geojsonTileLayer\",o=r[a],s=t[a];if(o&&s&&0!==Object.keys(s).length){i.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});var l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(i)))}}}},eh.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},eh.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<N.now()},eh.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},eh.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=N.now()+t},eh.prototype.setDependencies=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1)r[i[n]]=!0;this.dependencies[t]=r},eh.prototype.hasDependency=function(t,e){for(var r=0,n=t;r<n.length;r+=1){var i=n[r],a=this.dependencies[i];if(a)for(var o=0,s=e;o<s.length;o+=1)if(a[s[o]])return!0}return!1};var rh=s.performance,nh=function(t){this._marks={start:[t.url,\"start\"].join(\"#\"),end:[t.url,\"end\"].join(\"#\"),measure:t.url.toString()},rh.mark(this._marks.start)};nh.prototype.finish=function(){rh.mark(this._marks.end);var t=rh.getEntriesByName(this._marks.measure);return 0===t.length&&(rh.measure(this._marks.measure,this._marks.start,this._marks.end),t=rh.getEntriesByName(this._marks.measure),rh.clearMarks(this._marks.start),rh.clearMarks(this._marks.end),rh.clearMeasures(this._marks.measure)),t},t.Actor=Lu,t.AlphaImage=Jo,t.CanonicalTileID=Vu,t.CollisionBoxArray=Aa,t.Color=ce,t.DEMData=Zu,t.DataConstantProperty=qi,t.DictionaryCoder=Wu,t.EXTENT=po,t.ErrorEvent=Dt,t.EvaluationParameters=Oi,t.Event=Ot,t.Evented=Rt,t.FeatureIndex=Ju,t.FillBucket=Us,t.FillExtrusionBucket=il,t.ImageAtlas=sc,t.ImagePosition=ac,t.LineBucket=ml,t.LngLat=Ou,t.LngLatBounds=Pu,t.MercatorCoordinate=Uu,t.ONE_EM=Cl,t.OverscaledTileID=Hu,t.Point=a,t.Point$1=a,t.Properties=Yi,t.Protobuf=Pl,t.RGBAImage=Ko,t.RequestManager=Z,t.RequestPerformance=nh,t.ResourceType=bt,t.SegmentVector=Da,t.SourceFeatureState=$u,t.StructArrayLayout1ui2=wa,t.StructArrayLayout2f1f2i16=pa,t.StructArrayLayout2i4=ra,t.StructArrayLayout3ui6=ma,t.StructArrayLayout4i8=na,t.SymbolBucket=fu,t.Texture=Eu,t.Tile=eh,t.Transitionable=Fi,t.Uniform1f=$a,t.Uniform1i=Xa,t.Uniform2f=Ja,t.Uniform3f=Ka,t.Uniform4f=Qa,t.UniformColor=to,t.UniformMatrix4f=ro,t.UnwrappedTileID=qu,t.ValidationError=Bt,t.WritingMode=lc,t.ZoomHistory=fi,t.add=function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t},t.addDynamicAttributes=lu,t.asyncAll=function(t,e,r){if(!t.length)return r(null,[]);var n=t.length,i=new Array(t.length),a=null;t.forEach((function(t,o){e(t,(function(t,e){t&&(a=t),i[o]=e,0==--n&&r(a,i)}))}))},t.bezier=c,t.bindAll=v,t.browser=N,t.cacheEntryPossiblyAdded=function(t){++xt>ft&&(t.getActor().send(\"enforceCacheSizeLimit\",ht),xt=0)},t.clamp=h,t.clearTileCache=function(t){var e=s.caches.delete(ut);t&&e.catch(t).then((function(){return t()}))},t.clipLine=Fc,t.clone=function(t){var e=new Fo(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e},t.clone$1=w,t.clone$2=function(t){var e=new Fo(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=Ml,t.config=j,t.create=function(){var t=new Fo(16);return Fo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0),t[0]=1,t[5]=1,t[10]=1,t[15]=1,t},t.create$1=function(){var t=new Fo(9);return Fo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[5]=0,t[6]=0,t[7]=0),t[0]=1,t[4]=1,t[8]=1,t},t.create$2=function(){var t=new Fo(4);return Fo!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t},t.createCommonjsModule=e,t.createExpression=hn,t.createLayout=ta,t.createStyleLayer=function(t){return\"custom\"===t.type?new bu(t):new wu[t.type](t)},t.cross=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=r[0],s=r[1],l=r[2];return t[0]=i*l-a*s,t[1]=a*o-n*l,t[2]=n*s-i*o,t},t.deepEqual=function t(e,r){if(Array.isArray(e)){if(!Array.isArray(r)||e.length!==r.length)return!1;for(var n=0;n<e.length;n++)if(!t(e[n],r[n]))return!1;return!0}if(\"object\"==typeof e&&null!==e&&null!==r){if(\"object\"!=typeof r)return!1;if(Object.keys(e).length!==Object.keys(r).length)return!1;for(var i in e)if(!t(e[i],r[i]))return!1;return!0}return 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r=t.tileID.canonical;if(!this._geoJSONIndex)return e(null,null);var n=this._geoJSONIndex.getTile(r.z,r.x,r.y);if(!n)return e(null,null);var i=new g(n.features),a=b(i);0===a.byteOffset&&a.byteLength===a.buffer.byteLength||(a=new Uint8Array(a)),e(null,{vectorTile:i,rawData:a.buffer})}V.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,i=e.maxZoom,a=e.nodeSize;r&&console.time(\"total time\");var o=\"prepare \"+t.length+\" points\";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(H(t[l],l));this.trees[i+1]=new j(s,$,J,a,Float32Array),r&&console.timeEnd(o);for(var c=i;c>=n;c--){var u=+Date.now();s=this._cluster(s,c),this.trees[c]=new j(s,$,J,a,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",c,s.length,+Date.now()-u)}return r&&console.timeEnd(\"total time\"),this},V.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],c=[],u=0,h=l.range(W(r),Y(a),W(i),Y(n));u<h.length;u+=1){var f=h[u],p=l.points[f];c.push(p.numPoints?G(p):this.points[p.index])}return c},V.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),n=\"No cluster with the specified id.\",i=this.trees[r];if(!i)throw new Error(n);var a=i.points[e];if(!a)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,c=i.within(a.x,a.y,o);l<c.length;l+=1){var u=c[l],h=i.points[u];h.parentId===t&&s.push(h.numPoints?G(h):this.points[h.index])}if(0===s.length)throw new Error(n);return s},V.prototype.getLeaves=function(t,e,r){e=e||10,r=r||0;var n=[];return this._appendLeaves(n,t,e,r,0),n},V.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),a=this.options,o=a.extent,s=a.radius/o,l=(r-s)/i,c=(r+1+s)/i,u={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,c),n.points,e,r,i,u),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,c),n.points,i,r,i,u),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,c),n.points,-1,r,i,u),u.features.length?u:null},V.prototype.getClusterExpansionZoom=function(t){for(var e=this._getOriginZoom(t)-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},V.prototype._appendLeaves=function(t,e,r,n,i){for(var a=0,o=this.getChildren(e);a<o.length;a+=1){var s=o[a],l=s.properties;if(l&&l.cluster?i+l.point_count<=n?i+=l.point_count:i=this._appendLeaves(t,l.cluster_id,r,n,i):i<n?i++:t.push(s),t.length===r)break}return i},V.prototype._addTileFeatures=function(t,e,r,n,i,a){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],c=l.numPoints,u={type:1,geometry:[[Math.round(this.options.extent*(l.x*i-r)),Math.round(this.options.extent*(l.y*i-n))]],tags:c?Z(l):this.points[l.index].properties},h=void 0;c?h=l.id:this.options.generateId?h=l.index:this.points[l.index].id&&(h=this.points[l.index].id),void 0!==h&&(u.id=h),a.features.push(u)}},V.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(+t,this.options.maxZoom+1))},V.prototype._cluster=function(t,e){for(var r=[],n=this.options,i=n.radius,a=n.extent,o=n.reduce,s=n.minPoints,l=i/(a*Math.pow(2,e)),c=0;c<t.length;c++){var u=t[c];if(!(u.zoom<=e)){u.zoom=e;for(var h=this.trees[e+1],f=h.within(u.x,u.y,l),p=u.numPoints||1,d=p,m=0,g=f;m<g.length;m+=1){var y=g[m],v=h.points[y];v.zoom>e&&(d+=v.numPoints||1)}if(d>=s){for(var x=u.x*p,_=u.y*p,b=o&&p>1?this._map(u,!0):null,w=(c<<5)+(e+1)+this.points.length,T=0,k=f;T<k.length;T+=1){var A=k[T],M=h.points[A];if(!(M.zoom<=e)){M.zoom=e;var S=M.numPoints||1;x+=M.x*S,_+=M.y*S,M.parentId=w,o&&(b||(b=this._map(u,!0)),o(b,this._map(M)))}}u.parentId=w,r.push(q(x/d,_/d,w,d,b))}else if(r.push(u),d>1)for(var E=0,C=f;E<C.length;E+=1){var L=C[E],I=h.points[L];I.zoom<=e||(I.zoom=e,r.push(I))}}}return r},V.prototype._getOriginId=function(t){return t-this.points.length>>5},V.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},V.prototype._map=function(t,e){if(t.numPoints)return e?X({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?X({},n):n},Tt.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},Tt.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,c=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var u=1<<e,h=kt(e,r,n),f=this.tiles[h];if(!f&&(c>1&&console.time(\"creation\"),f=this.tiles[h]=_t(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),c)){c>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,f.numFeatures,f.numPoints,f.numSimplified),console.timeEnd(\"creation\"));var p=\"z\"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(f.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<<i-e;if(r!==Math.floor(a/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||f.numPoints<=l.indexMaxPoints)continue;if(f.source=null,0!==t.length){c>1&&console.time(\"clipping\");var m,g,y,v,x,_,b=.5*l.buffer/l.extent,w=.5-b,T=.5+b,k=1+b;m=g=y=v=null,x=lt(t,u,r-b,r+T,0,f.minX,f.maxX,l),_=lt(t,u,r+w,r+k,0,f.minX,f.maxX,l),t=null,x&&(m=lt(x,u,n-b,n+T,1,f.minY,f.maxY,l),g=lt(x,u,n+w,n+k,1,f.minY,f.maxY,l),x=null),_&&(y=lt(_,u,n-b,n+T,1,f.minY,f.maxY,l),v=lt(_,u,n+w,n+k,1,f.minY,f.maxY,l),_=null),c>1&&console.timeEnd(\"clipping\"),s.push(m||[],e+1,2*r,2*n),s.push(g||[],e+1,2*r,2*n+1),s.push(y||[],e+1,2*r+1,2*n),s.push(v||[],e+1,2*r+1,2*n+1)}}},Tt.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<<t,s=kt(t,e=(e%o+o)%o,r);if(this.tiles[s])return vt(this.tiles[s],i);a>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var l,c=t,u=e,h=r;!l&&c>0;)c--,u=Math.floor(u/2),h=Math.floor(h/2),l=this.tiles[kt(c,u,h)];return l&&l.source?(a>1&&console.log(\"found parent tile z%d-%d-%d\",c,u,h),a>1&&console.time(\"drilling down\"),this.splitTile(l.source,c,u,h,t,e,r),a>1&&console.timeEnd(\"drilling down\"),this.tiles[s]?vt(this.tiles[s],i):null):null};var Mt=function(e){function r(t,r,n,i){e.call(this,t,r,n,At),i&&(this.loadGeoJSON=i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&\"Idle\"!==this._state?this._state=\"NeedsLoadData\":(this._state=\"Coalescing\",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(a,o){if(a||!o)return r(a);if(\"object\"!=typeof o)return r(new Error(\"Input data given to '\"+n.source+\"' is not a valid GeoJSON 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i=n[r];o.accumulated=t[i],t[i]=a[i].evaluate(o,s)}},r}(n)).load(o.features):function(t,e){return new Tt(t,e)}(o,n.geojsonVtOptions)}catch(a){return r(a)}e.loaded={};var c={};if(i){var u=i.finish();u&&(c.resourceTiming={},c.resourceTiming[n.source]=JSON.parse(JSON.stringify(u)))}r(null,c)}))}},r.prototype.coalesce=function(){\"Coalescing\"===this._state?this._state=\"Idle\":\"NeedsLoadData\"===this._state&&(this._state=\"Coalescing\",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded,i=t.uid;return n&&n[i]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if(\"string\"!=typeof e.data)return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"))}}},r.prototype.removeSource=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),e()},r.prototype.getClusterExpansionZoom=function(t,e){try{e(null,this._geoJSONIndex.getClusterExpansionZoom(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterChildren=function(t,e){try{e(null,this._geoJSONIndex.getChildren(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterLeaves=function(t,e){try{e(null,this._geoJSONIndex.getLeaves(t.clusterId,t.limit,t.offset))}catch(t){e(t)}},r}(l);var St=function(e){var r=this;this.self=e,this.actor=new t.Actor(e,this),this.layerIndexes={},this.availableImages={},this.workerSourceTypes={vector:l,geojson:Mt},this.workerSources={},this.demWorkerSources={},this.self.registerWorkerSource=function(t,e){if(r.workerSourceTypes[t])throw new Error('Worker source with name \"'+t+'\" already registered.');r.workerSourceTypes[t]=e},this.self.registerRTLTextPlugin=function(e){if(t.plugin.isParsed())throw new Error(\"RTL text plugin already 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t.Point(r.clientX-n.left-e.clientLeft,r.clientY-n.top-e.clientTop)},r.touchPos=function(e,r){for(var n=e.getBoundingClientRect(),i=[],a=0;a<r.length;a++)i.push(new t.Point(r[a].clientX-n.left-e.clientLeft,r[a].clientY-n.top-e.clientTop));return i},r.mouseButton=function(e){return void 0!==t.window.InstallTrigger&&2===e.button&&e.ctrlKey&&t.window.navigator.platform.toUpperCase().indexOf(\"MAC\")>=0?0:e.button},r.remove=function(t){t.parentNode&&t.parentNode.removeChild(t)};var f=function(e){function r(){e.call(this),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new t.RGBAImage({width:1,height:1}),this.dirty=!0}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.isLoaded=function(){return this.loaded},r.prototype.setLoaded=function(t){if(this.loaded!==t&&(this.loaded=t,t)){for(var e=0,r=this.requestors;e<r.length;e+=1){var n=r[e],i=n.ids,a=n.callback;this._notify(i,a)}this.requestors=[]}},r.prototype.getImage=function(t){return this.images[t]},r.prototype.addImage=function(t,e){this._validate(t,e)&&(this.images[t]=e)},r.prototype._validate=function(e,r){var n=!0;return this._validateStretch(r.stretchX,r.data&&r.data.width)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchX\" value'))),n=!1),this._validateStretch(r.stretchY,r.data&&r.data.height)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchY\" value'))),n=!1),this._validateContent(r.content,r)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"content\" value'))),n=!1),n},r.prototype._validateStretch=function(t,e){if(!t)return!0;for(var r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];if(a[0]<r||a[1]<a[0]||e<a[1])return!1;r=a[1]}return!0},r.prototype._validateContent=function(t,e){return!(t&&(4!==t.length||t[0]<0||e.data.width<t[0]||t[1]<0||e.data.height<t[1]||t[2]<0||e.data.width<t[2]||t[3]<0||e.data.height<t[3]||t[2]<t[0]||t[3]<t[1]))},r.prototype.updateImage=function(t,e){var r=this.images[t];e.version=r.version+1,this.images[t]=e,this.updatedImages[t]=!0},r.prototype.removeImage=function(t){var e=this.images[t];delete this.images[t],delete this.patterns[t],e.userImage&&e.userImage.onRemove&&e.userImage.onRemove()},r.prototype.listImages=function(){return Object.keys(this.images)},r.prototype.getImages=function(t,e){var r=!0;if(!this.isLoaded())for(var n=0,i=t;n<i.length;n+=1){var a=i[n];this.images[a]||(r=!1)}this.isLoaded()||r?this._notify(t,e):this.requestors.push({ids:t,callback:e})},r.prototype._notify=function(e,r){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i];this.images[o]||this.fire(new t.Event(\"styleimagemissing\",{id:o}));var s=this.images[o];s?n[o]={data:s.data.clone(),pixelRatio:s.pixelRatio,sdf:s.sdf,version:s.version,stretchX:s.stretchX,stretchY:s.stretchY,content:s.content,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image \"'+o+'\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. You can provide missing images by listening for the \"styleimagemissing\" map event.')}r(null,n)},r.prototype.getPixelSize=function(){var t=this.atlasImage;return{width:t.width,height:t.height}},r.prototype.getPattern=function(e){var r=this.patterns[e],n=this.getImage(e);if(!n)return null;if(r&&r.position.version===n.version)return r.position;if(r)r.position.version=n.version;else{var i={w:n.data.width+2,h:n.data.height+2,x:0,y:0},a=new t.ImagePosition(i,n);this.patterns[e]={bin:i,position:a}}return this._updatePatternAtlas(),this.patterns[e].position},r.prototype.bind=function(e){var r=e.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new t.Texture(e,this.atlasImage,r.RGBA),this.atlasTexture.bind(r.LINEAR,r.CLAMP_TO_EDGE)},r.prototype._updatePatternAtlas=function(){var e=[];for(var r in this.patterns)e.push(this.patterns[r].bin);var n=t.potpack(e),i=n.w,a=n.h,o=this.atlasImage;for(var s in o.resize({width:i||1,height:a||1}),this.patterns){var l=this.patterns[s].bin,c=l.x+1,u=l.y+1,h=this.images[s].data,f=h.width,p=h.height;t.RGBAImage.copy(h,o,{x:0,y:0},{x:c,y:u},{width:f,height:p}),t.RGBAImage.copy(h,o,{x:0,y:p-1},{x:c,y:u-1},{width:f,height:1}),t.RGBAImage.copy(h,o,{x:0,y:0},{x:c,y:u+p},{width:f,height:1}),t.RGBAImage.copy(h,o,{x:f-1,y:0},{x:c-1,y:u},{width:1,height:p}),t.RGBAImage.copy(h,o,{x:0,y:0},{x:c+f,y:u},{width:1,height:p})}this.dirty=!0},r.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},r.prototype.dispatchRenderCallbacks=function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!this.callbackDispatchedThisFrame[n]){this.callbackDispatchedThisFrame[n]=!0;var i=this.images[n];h(i)&&this.updateImage(n,i)}}},r}(t.Evented);var p=g,d=g,m=1e20;function g(t,e,r,n,i,a){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=i||\"sans-serif\",this.fontWeight=a||\"normal\",this.radius=r||8;var o=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement(\"canvas\"),this.canvas.width=this.canvas.height=o,this.ctx=this.canvas.getContext(\"2d\"),this.ctx.font=this.fontWeight+\" \"+this.fontSize+\"px \"+this.fontFamily,this.ctx.textBaseline=\"middle\",this.ctx.fillStyle=\"black\",this.gridOuter=new Float64Array(o*o),this.gridInner=new Float64Array(o*o),this.f=new Float64Array(o),this.d=new Float64Array(o),this.z=new Float64Array(o+1),this.v=new Int16Array(o),this.middle=Math.round(o/2*(navigator.userAgent.indexOf(\"Gecko/\")>=0?1.2:1))}function y(t,e,r,n,i,a,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(v(n,i,a,o,r),l=0;l<r;l++)t[l*e+s]=i[l]}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(v(n,i,a,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(i[s])}}function v(t,e,r,n,i){r[0]=0,n[0]=-m,n[1]=+m;for(var a=1,o=0;a<i;a++){for(var s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);s<=n[o];)o--,s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);r[++o]=a,n[o]=s,n[o+1]=+m}for(a=0,o=0;a<i;a++){for(;n[o+1]<a;)o++;e[a]=(a-r[o])*(a-r[o])+t[r[o]]}}g.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),r=new Uint8ClampedArray(this.size*this.size),n=0;n<this.size*this.size;n++){var i=e.data[4*n+3]/255;this.gridOuter[n]=1===i?0:0===i?m:Math.pow(Math.max(0,.5-i),2),this.gridInner[n]=1===i?m:0===i?0:Math.pow(Math.max(0,i-.5),2)}for(y(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),y(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++){var a=this.gridOuter[n]-this.gridInner[n];r[n]=Math.max(0,Math.min(255,Math.round(255-255*(a/this.radius+this.cutoff))))}return r},p.default=d;var x=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};x.prototype.setURL=function(t){this.url=t},x.prototype.getGlyphs=function(e,r){var n=this,i=[];for(var a in e)for(var o=0,s=e[a];o<s.length;o+=1){var l=s[o];i.push({stack:a,id:l})}t.asyncAll(i,(function(t,e){var r=t.stack,i=t.id,a=n.entries[r];a||(a=n.entries[r]={glyphs:{},requests:{},ranges:{}});var o=a.glyphs[i];if(void 0===o){if(o=n._tinySDF(a,r,i))return a.glyphs[i]=o,void e(null,{stack:r,id:i,glyph:o});var s=Math.floor(i/256);if(256*s>65535)e(new Error(\"glyphs > 65535 not supported\"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i<o.length;i+=1)(0,o[i])(t,e);delete a.requests[s]}))),l.push((function(t,n){t?e(t):n&&e(null,{stack:r,id:i,glyph:n[i]||null})}))}}else e(null,{stack:r,id:i,glyph:o})}),(function(t,e){if(t)r(t);else if(e){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.stack,l=o.id,c=o.glyph;(n[s]||(n[s]={}))[l]=c&&{id:c.id,bitmap:c.bitmap.clone(),metrics:c.metrics}}r(null,n)}}))},x.prototype._doesCharSupportLocalGlyph=function(e){return!!this.localIdeographFontFamily&&(t.isChar[\"CJK Unified Ideographs\"](e)||t.isChar[\"Hangul Syllables\"](e)||t.isChar.Hiragana(e)||t.isChar.Katakana(e))},x.prototype._tinySDF=function(e,r,n){var i=this.localIdeographFontFamily;if(i&&this._doesCharSupportLocalGlyph(n)){var a=e.tinySDF;if(!a){var o=\"400\";/bold/i.test(r)?o=\"900\":/medium/i.test(r)?o=\"500\":/light/i.test(r)&&(o=\"200\"),a=e.tinySDF=new x.TinySDF(24,3,8,.25,i,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},a.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,i,a){var o=256*r,s=o+255,l=i.transformRequest(i.normalizeGlyphsURL(n).replace(\"{fontstack}\",e).replace(\"{range}\",o+\"-\"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,(function(e,r){if(e)a(e);else if(r){for(var n={},i=0,o=t.parseGlyphPBF(r);i<o.length;i+=1){var s=o[i];n[s.id]=s}a(null,n)}}))},x.TinySDF=p;var _=function(){this.specification=t.styleSpec.light.position};_.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},_.prototype.interpolate=function(e,r,n){return{x:t.number(e.x,r.x,n),y:t.number(e.y,r.y,n),z:t.number(e.z,r.z,n)}};var b=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new _,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),w=\"-transition\",T=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(b),this.setLight(r),this._transitioning=this._transitionable.untransitioned()}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getLight=function(){return this._transitionable.serialize()},r.prototype.setLight=function(e,r){if(void 0===r&&(r={}),!this._validate(t.validateLight,e,r))for(var n in e){var i=e[n];t.endsWith(n,w)?this._transitionable.setTransition(n.slice(0,-11),i):this._transitionable.setValue(n,i)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),k=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};k.prototype.getDash=function(t,e){var r=t.join(\",\")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]},k.prototype.getDashRanges=function(t,e,r){var n=[],i=t.length%2==1?-t[t.length-1]*r:0,a=t[0]*r,o=!0;n.push({left:i,right:a,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){o=!o;var c=t[l];i=s*r,a=(s+=c)*r,n.push({left:i,right:a,isDash:o,zeroLength:0===c})}return n},k.prototype.addRoundDash=function(t,e,r){for(var n=e/2,i=-r;i<=r;i++)for(var a=this.nextRow+r+i,o=this.width*a,s=0,l=t[s],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),h=Math.abs(c-l.right),f=Math.min(u,h),p=void 0,d=i/r*(n+1);if(l.isDash){var m=n-Math.abs(d);p=Math.sqrt(f*f+m*m)}else p=n-Math.sqrt(f*f+d*d);this.data[o+c]=Math.max(0,Math.min(255,p+128))}},k.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),h=Math.abs(c-l.right),f=Math.min(u,h),p=l.isDash?f:-f;this.data[o+c]=Math.max(0,Math.min(255,p+128))}},k.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce(\"LineAtlas out of space\"),null;for(var a=0,o=0;o<e.length;o++)a+=e[o];if(0!==a){var s=this.width/a,l=this.getDashRanges(e,this.width,s);r?this.addRoundDash(l,s,n):this.addRegularDash(l)}var c={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,c},k.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))};var A=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var i=this.workerPool.acquire(this.id),a=0;a<i.length;a++){var o=i[a],s=new e.Actor(o,n,this.id);s.name=\"Worker \"+a,this.actors.push(s)}};function M(e,r,n){var i=function(i,a){if(i)return n(i);if(a){var o=t.pick(t.extend(a,e),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"mapbox_logo\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);a.vector_layers&&(o.vectorLayers=a.vector_layers,o.vectorLayerIds=o.vectorLayers.map((function(t){return t.id}))),o.tiles=r.canonicalizeTileset(o,e.url),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),i):t.browser.frame((function(){return i(null,e)}))}A.prototype.broadcast=function(e,r,n){n=n||function(){},t.asyncAll(this.actors,(function(t,n){t.send(e,r,n)}),n)},A.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},A.prototype.remove=function(){this.actors.forEach((function(t){t.remove()})),this.actors=[],this.workerPool.release(this.id)},A.Actor=t.Actor;var S=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};S.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},S.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),i=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),a=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<a&&e.y>=i&&e.y<o};var E=function(e){function r(r,n,i,a){if(e.call(this),this.id=r,this.dispatcher=i,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=t.extend({type:\"vector\"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(a)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new S(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setSourceProperty=function(t){this._tileJSONRequest&&this._tileJSONRequest.cancel(),t(),this.map.style.sourceCaches[this.id].clearTiles(),this.load()},r.prototype.setTiles=function(t){var e=this;return this.setSourceProperty((function(){e._options.tiles=t})),this},r.prototype.setUrl=function(t){var e=this;return this.setSourceProperty((function(){e.url=t,e._options.url=t})),this},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme)),i={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};function a(n,i){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(i&&i.resourceTiming&&(e.resourceTiming=i.resourceTiming),this.map._refreshExpiredTiles&&i&&e.setExpiryData(i),e.loadVectorData(i,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}i.request.collectResourceTiming=this._collectResourceTiming,e.actor&&\"expired\"!==e.state?\"loading\"===e.state?e.reloadCallback=r:e.request=e.actor.send(\"reloadTile\",i,a.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send(\"loadTile\",i,a.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send(\"abortTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),C=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.dispatcher=i,this.setEventedParent(a),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:\"raster\"},n),t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\"]))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new S(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,i=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(i,t.ResourceType.Tile),(function(i,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(i)e.state=\"errored\",r(i);else if(a){n.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(a.width),e.texture?e.texture.update(a,{useMipmap:!0}):(e.texture=new t.Texture(o,a,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state=\"loaded\",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}}))},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),L=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),this.type=\"raster-dem\",this.maxzoom=22,this._options=t.extend({type:\"raster-dem\"},n),this.encoding=n.encoding||\"mapbox\"}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.serialize=function(){return{type:\"raster-dem\",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);function i(t,n){t&&(e.state=\"errored\",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state=\"loaded\",r(null))}e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(n)e.state=\"errored\",r(n);else if(a){this.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=t.window.ImageBitmap&&a instanceof t.window.ImageBitmap&&t.offscreenCanvasSupported()?a:t.browser.getImageData(a,1),s={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:o,encoding:this.encoding};e.actor&&\"expired\"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send(\"loadDEMTile\",s,i.bind(this)))}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID)},r.prototype._getNeighboringTiles=function(e){var r=e.canonical,n=Math.pow(2,r.z),i=(r.x-1+n)%n,a=0===r.x?e.wrap-1:e.wrap,o=(r.x+1+n)%n,s=r.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state=\"unloaded\",t.actor&&t.actor.send(\"removeDEMTile\",{uid:t.uid,source:this.id})},r}(C),I=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=i.getActor(),this.setEventedParent(a),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution),this.promoteId=n.promoteId;var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,minPoints:Math.max(2,n.clusterMinPoints||2),extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1,generateId:n.generateId||!1},clusterProperties:n.clusterProperties,filter:n.filter},n.workerOptions)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:\"source\",sourceDataType:\"metadata\"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\"data\",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:\"source\",sourceDataType:\"content\"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event(\"data\",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;\"string\"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+\".loadData\",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+\".coalesce\",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,\"reloadTile\"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),P=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),z=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.x),a=Math.max(a,l.y)}var c=i-r,u=a-n,h=Math.max(c,u),f=Math.max(0,Math.floor(-Math.log(h)/Math.LN2)),p=Math.pow(2,f);return new t.CanonicalTileID(f,Math.floor((r+i)/2*p),Math.floor((n+a)/2*p))}(n),this.minzoom=this.maxzoom=this.tileID.z;var i=n.map((function(t){return r.tileID.getTilePoint(t)._round()}));return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(i[0].x,i[0].y,0,0),this._boundsArray.emplaceBack(i[1].x,i[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(i[3].x,i[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(i[2].x,i[2].y,t.EXTENT,t.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this},r.prototype.prepare=function(){if(0!==Object.keys(this.tiles).length&&this.image){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new t.Texture(e,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state=\"errored\",e(null))},r.prototype.serialize=function(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return!1},r}(t.Evented);var O=function(e){function r(t,r,n,i){e.call(this,t,r,n,i),this.roundZoom=!0,this.type=\"video\",this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1;var r=this.options;this.urls=[];for(var n=0,i=r.urls;n<i.length;n+=1){var a=i[n];this.urls.push(this.map._requestManager.transformRequest(a,t.ResourceType.Source).url)}t.getVideo(this.urls,(function(r,n){e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(e.video=n,e.video.loop=!0,e.video.addEventListener(\"playing\",(function(){e.map.triggerRepaint()})),e.map&&e.video.play(),e._finishLoading())}))},r.prototype.pause=function(){this.video&&this.video.pause()},r.prototype.play=function(){this.video&&this.video.play()},r.prototype.seek=function(e){if(this.video){var r=this.video.seekable;e<r.start(0)||e>r.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+this.id,null,\"Playback for this video can be set only between the \"+r.start(0)+\" and \"+r.end(0)+\"-second mark.\"))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(z),D=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return\"number\"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"coordinates\"'))),n.animate&&\"boolean\"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'optional \"animate\" property must be a boolean value'))),n.canvas?\"string\"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"canvas\"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var r=e[t];if(isNaN(r)||r<=0)return!0}return!1},r}(z),R={vector:E,raster:C,\"raster-dem\":L,geojson:I,video:O,image:z,canvas:D};function F(e,r){var n=t.identity([]);return t.translate(n,n,[1,1,0]),t.scale(n,n,[.5*e.width,.5*e.height,1]),t.multiply(n,n,e.calculatePosMatrix(r.toUnwrapped()))}function B(t,e,r,n,i,a){var o=function(t,e,r){if(t)for(var n=0,i=t;n<i.length;n+=1){var a=e[i[n]];if(a&&a.source===r&&\"fill-extrusion\"===a.type)return!0}else for(var o in e){var s=e[o];if(s.source===r&&\"fill-extrusion\"===s.type)return!0}return!1}(i&&i.layers,e,t.id),s=a.maxPitchScaleFactor(),l=t.tilesIn(n,s,o);l.sort(N);for(var c=[],u=0,h=l;u<h.length;u+=1){var f=h[u];c.push({wrappedTileID:f.tileID.wrapped().key,queryResults:f.tile.queryRenderedFeatures(e,r,t._state,f.queryGeometry,f.cameraQueryGeometry,f.scale,i,a,s,F(t.transform,f.tileID))})}var p=function(t){for(var e={},r={},n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.queryResults,s=a.wrappedTileID,l=r[s]=r[s]||{};for(var c in o)for(var u=o[c],h=l[c]=l[c]||{},f=e[c]=e[c]||[],p=0,d=u;p<d.length;p+=1){var m=d[p];h[m.featureIndex]||(h[m.featureIndex]=!0,f.push(m))}}return e}(c);for(var d in p)p[d].forEach((function(e){var r=e.feature,n=t.getFeatureState(r.layer[\"source-layer\"],r.id);r.source=r.layer.source,r.layer[\"source-layer\"]&&(r.sourceLayer=r.layer[\"source-layer\"]),r.state=n}));return p}function N(t,e){var r=t.tileID,n=e.tileID;return r.overscaledZ-n.overscaledZ||r.canonical.y-n.canonical.y||r.wrap-n.wrap||r.canonical.x-n.canonical.x}var j=function(t,e){this.max=t,this.onRemove=e,this.reset()};j.prototype.reset=function(){for(var t in this.data)for(var e=0,r=this.data[t];e<r.length;e+=1){var n=r[e];n.timeout&&clearTimeout(n.timeout),this.onRemove(n.value)}return this.data={},this.order=[],this},j.prototype.add=function(t,e,r){var n=this,i=t.wrapped().key;void 0===this.data[i]&&(this.data[i]=[]);var a={value:e,timeout:void 0};if(void 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Mt=function(t,e,r){this.func=t,this.mask=e,this.range=r};Mt.ReadOnly=!1,Mt.ReadWrite=!0,Mt.disabled=new Mt(519,Mt.ReadOnly,[0,1]);var St=7680,Et=function(t,e,r,n,i,a){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=i,this.pass=a};Et.disabled=new Et({func:519,mask:0},0,0,St,St,St);var Ct=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};Ct.Replace=[1,0],Ct.disabled=new Ct(Ct.Replace,t.Color.transparent,[!1,!1,!1,!1]),Ct.unblended=new Ct(Ct.Replace,t.Color.transparent,[!0,!0,!0,!0]),Ct.alphaBlended=new Ct([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Lt=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Lt.disabled=new Lt(!1,1029,2305),Lt.backCCW=new Lt(!0,1029,2305);var It=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension(\"OES_vertex_array_object\"),this.clearColor=new G(this),this.clearDepth=new Z(this),this.clearStencil=new W(this),this.colorMask=new Y(this),this.depthMask=new X(this),this.stencilMask=new $(this),this.stencilFunc=new J(this),this.stencilOp=new K(this),this.stencilTest=new Q(this),this.depthRange=new tt(this),this.depthTest=new et(this),this.depthFunc=new rt(this),this.blend=new nt(this),this.blendFunc=new it(this),this.blendColor=new at(this),this.blendEquation=new ot(this),this.cullFace=new st(this),this.cullFaceSide=new lt(this),this.frontFace=new ct(this),this.program=new ut(this),this.activeTexture=new ht(this),this.viewport=new ft(this),this.bindFramebuffer=new pt(this),this.bindRenderbuffer=new dt(this),this.bindTexture=new mt(this),this.bindVertexBuffer=new gt(this),this.bindElementBuffer=new yt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new vt(this),this.pixelStoreUnpack=new xt(this),this.pixelStoreUnpackPremultiplyAlpha=new _t(this),this.pixelStoreUnpackFlipY=new bt(this),this.extTextureFilterAnisotropic=t.getExtension(\"EXT_texture_filter_anisotropic\")||t.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||t.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension(\"OES_texture_half_float\"),this.extTextureHalfFloat&&(t.getExtension(\"OES_texture_half_float_linear\"),this.extRenderToTextureHalfFloat=t.getExtension(\"EXT_color_buffer_half_float\")),this.extTimerQuery=t.getExtension(\"EXT_disjoint_timer_query\"),this.maxTextureSize=t.getParameter(t.MAX_TEXTURE_SIZE)};It.prototype.setDefault=function(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()},It.prototype.setDirty=function(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.extVertexArrayObject&&(this.bindVertexArrayOES.dirty=!0),this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0},It.prototype.createIndexBuffer=function(t,e){return new U(this,t,e)},It.prototype.createVertexBuffer=function(t,e,r){return new q(this,t,e,r)},It.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,i=n.createRenderbuffer();return this.bindRenderbuffer.set(i),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),i},It.prototype.createFramebuffer=function(t,e,r){return new At(this,t,e,r)},It.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,i=0;e&&(i|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(i|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(i)},It.prototype.setCullFace=function(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))},It.prototype.setDepthMode=function(t){t.func!==this.gl.ALWAYS||t.mask?(this.depthTest.set(!0),this.depthFunc.set(t.func),this.depthMask.set(t.mask),this.depthRange.set(t.range)):this.depthTest.set(!1)},It.prototype.setStencilMode=function(t){t.test.func!==this.gl.ALWAYS||t.mask?(this.stencilTest.set(!0),this.stencilMask.set(t.mask),this.stencilOp.set([t.fail,t.depthFail,t.pass]),this.stencilFunc.set({func:t.test.func,ref:t.ref,mask:t.test.mask})):this.stencilTest.set(!1)},It.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,Ct.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},It.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Pt=function(e){function r(r,n,i){var a=this;e.call(this),this.id=r,this.dispatcher=i,this.on(\"data\",(function(t){\"source\"===t.dataType&&\"metadata\"===t.sourceDataType&&(a._sourceLoaded=!0),a._sourceLoaded&&!a._paused&&\"source\"===t.dataType&&\"content\"===t.sourceDataType&&(a.reload(),a.transform&&a.update(a.transform))})),this.on(\"error\",(function(){a._sourceErrored=!0})),this._source=function(e,r,n,i){var a=new R[r.type](e,r,n,i);if(a.id!==e)throw new Error(\"Expected Source id to be \"+e+\" instead of \"+a.id);return t.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],a),a}(r,n,i,this),this._tiles={},this._cache=new j(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;for(var t in this._tiles){var e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}return!0},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=!0},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,(function(){}))},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,(function(){}))},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}},r.prototype.getIds=function(){return t.values(this._tiles).map((function(t){return t.tileID})).sort(zt).map((function(t){return t.key}))},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var i in this._tiles)this._isIdRenderable(i,e)&&n.push(this._tiles[i]);return e?n.sort((function(e,n){var i=e.tileID,a=n.tileID,o=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle),s=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle);return i.overscaledZ-a.overscaledZ||s.y-o.y||s.x-o.x})).map((function(t){return t.tileID.key})):n.map((function(t){return t.tileID})).sort(zt).map((function(t){return t.key}))},r.prototype.hasRenderableParent=function(t){var e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)},r.prototype._isIdRenderable=function(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())},r.prototype.reload=function(){if(this._paused)this._shouldReloadOnResume=!0;else for(var t in this._cache.reset(),this._tiles)\"errored\"!==this._tiles[t].state&&this._reloadTile(t,\"reloading\")},r.prototype._reloadTile=function(t,e){var r=this._tiles[t];r&&(\"loading\"!==r.state&&(r.state=e),this._loadTile(r,this._tileLoaded.bind(this,r,t,e)))},r.prototype._tileLoaded=function(e,r,n,i){if(i)return e.state=\"errored\",void(404!==i.status?this._source.fire(new t.ErrorEvent(i,{tile:e})):this.update(this.transform));e.timeAdded=t.browser.now(),\"expired\"===n&&(e.refreshedUponExpiration=!0),this._setTileReloadTimer(r,e),\"raster-dem\"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._state.initializeTileState(e,this.map?this.map.painter:null),this._source.fire(new t.Event(\"data\",{dataType:\"source\",tile:e,coord:e.tileID}))},r.prototype._backfillDEM=function(t){for(var e=this.getRenderableIds(),r=0;r<e.length;r++){var n=e[r];if(t.neighboringTiles&&t.neighboringTiles[n]){var i=this.getTileByID(n);a(t,i),a(i,t)}}function a(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,i=Math.pow(2,t.tileID.canonical.z),a=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(Ot(this._source.type)){for(var c={},u={},h=0,f=Object.keys(l);h<f.length;h+=1){var p=f[h],d=l[p],m=this._tiles[p];if(m&&!(m.fadeEndTime&&m.fadeEndTime<=t.browser.now())){var g=this.findLoadedParent(d,o);g&&(this._addTile(g.tileID),c[g.tileID.key]=g.tileID),u[p]=d}}for(var y in this._retainLoadedChildren(u,a,s,l),c)l[y]||(this._coveredTiles[y]=!0,l[y]=c[y])}for(var v in l)this._tiles[v].clearFadeHold();for(var x=0,_=t.keysDifference(this._tiles,l);x<_.length;x+=1){var b=_[x],w=this._tiles[b];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(b)}this._updateLoadedParentTileCache()}},r.prototype.releaseSymbolFadeTiles=function(){for(var t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)},r.prototype._updateRetainedTiles=function(t,e){for(var n={},i={},a=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,c=t;l<c.length;l+=1){var u=c[l],h=this._addTile(u);n[u.key]=u,h.hasData()||e<this._source.maxzoom&&(s[u.key]=u)}this._retainLoadedChildren(s,e,o,n);for(var f=0,p=t;f<p.length;f+=1){var d=p[f],m=this._tiles[d.key];if(!m.hasData()){if(e+1>this._source.maxzoom){var g=d.children(this._source.maxzoom)[0],y=this.getTile(g);if(y&&y.hasData()){n[g.key]=g;continue}}else{var v=d.children(this._source.maxzoom);if(n[v[0].key]&&n[v[1].key]&&n[v[2].key]&&n[v[3].key])continue}for(var x=m.wasRequested(),_=d.overscaledZ-1;_>=a;--_){var b=d.scaledTo(_);if(i[b.key])break;if(i[b.key]=!0,!(m=this.getTile(b))&&x&&(m=this._addTile(b)),m&&(n[b.key]=b,x=m.wasRequested(),m.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a<o.length;a+=1){var s=o[a];this._loadedParentTiles[s]=r}}},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event(\"dataloading\",{tile:r,coord:r.tileID,dataType:\"source\"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout((function(){r._reloadTile(t,\"expired\"),delete r._timers[t]}),n))},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&\"reloading\"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),c=s.map((function(t){return o.pointCoordinate(t)})),u=this.getIds(),h=1/0,f=1/0,p=-1/0,d=-1/0,m=0,g=c;m<g.length;m+=1){var y=g[m];h=Math.min(h,y.x),f=Math.min(f,y.y),p=Math.max(p,y.x),d=Math.max(d,y.y)}for(var v=function(e){var n=i._tiles[u[e]];if(!n.holdingForFade()){var s=n.tileID,m=Math.pow(2,o.zoom-n.tileID.overscaledZ),g=r*n.queryPadding*t.EXTENT/n.tileSize/m,y=[s.getTilePoint(new t.MercatorCoordinate(h,f)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(y[0].x-g<t.EXTENT&&y[0].y-g<t.EXTENT&&y[1].x+g>=0&&y[1].y+g>=0){var v=l.map((function(t){return s.getTilePoint(t)})),x=c.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:v,cameraQueryGeometry:x,scale:m})}}},x=0;x<u.length;x++)v(x);return a},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map((function(t){return e._tiles[t].tileID})),n=0,i=r;n<i.length;n+=1){var a=i[n];a.posMatrix=this.transform.calculatePosMatrix(a.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(Ot(this._source.type))for(var e in this._tiles){var r=this._tiles[e];if(void 0!==r.fadeEndTime&&r.fadeEndTime>=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||\"_geojsonTileLayer\",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles)this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,\"reloading\");this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function zt(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function Ot(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function Dt(){return new t.window.Worker(oa.workerUrl)}Pt.maxOverzooming=10,Pt.maxUnderzooming=3;var Rt=\"mapboxgl_preloaded_worker_pool\",Ft=function(){this.active={}};Ft.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Ft.workerCount;)this.workers.push(new Dt);return this.active[t]=!0,this.workers.slice()},Ft.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((function(t){t.terminate()})),this.workers=null)},Ft.prototype.isPreloaded=function(){return!!this.active[Rt]},Ft.prototype.numActive=function(){return Object.keys(this.active).length};var Bt,Nt=Math.floor(t.browser.hardwareConcurrency/2);function jt(){return Bt||(Bt=new Ft),Bt}function Ut(e,r){var n={};for(var i in e)\"ref\"!==i&&(n[i]=e[i]);return t.refProperties.forEach((function(t){t in r&&(n[t]=r[t])})),n}function Vt(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)\"ref\"in t[n]&&(t[n]=Ut(t[n],e[t[n].ref]));return t}Ft.workerCount=Math.max(Math.min(Nt,6),1);var qt={setStyle:\"setStyle\",addLayer:\"addLayer\",removeLayer:\"removeLayer\",setPaintProperty:\"setPaintProperty\",setLayoutProperty:\"setLayoutProperty\",setFilter:\"setFilter\",addSource:\"addSource\",removeSource:\"removeSource\",setGeoJSONSourceData:\"setGeoJSONSourceData\",setLayerZoomRange:\"setLayerZoomRange\",setLayerProperty:\"setLayerProperty\",setCenter:\"setCenter\",setZoom:\"setZoom\",setBearing:\"setBearing\",setPitch:\"setPitch\",setSprite:\"setSprite\",setGlyphs:\"setGlyphs\",setTransition:\"setTransition\",setLight:\"setLight\"};function Ht(t,e,r){r.push({command:qt.addSource,args:[t,e[t]]})}function Gt(t,e,r){e.push({command:qt.removeSource,args:[t]}),r[t]=!0}function Zt(t,e,r,n){Gt(t,r,n),Ht(t,e,r)}function Wt(e,r,n){var i;for(i in e[n])if(e[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;for(i in r[n])if(r[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;return!0}function Yt(e,r,n,i,a,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}))}function Xt(t){return t.id}function $t(t,e){return t[e.id]=e,t}function Jt(e,r){if(!e)return[{command:qt.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:qt.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:qt.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:qt.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:qt.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:qt.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:qt.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:qt.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:qt.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:qt.setLight,args:[r.light]});var i={},a=[];!function(e,r,n,i){var a;for(a in r=r||{},e=e||{})e.hasOwnProperty(a)&&(r.hasOwnProperty(a)||Gt(a,n,i));for(a in r)r.hasOwnProperty(a)&&(e.hasOwnProperty(a)?t.deepEqual(e[a],r[a])||(\"geojson\"===e[a].type&&\"geojson\"===r[a].type&&Wt(e,r,a)?n.push({command:qt.setGeoJSONSourceData,args:[a,r[a].data]}):Zt(a,r,n,i)):Ht(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach((function(t){i[t.source]?n.push({command:qt.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(a),function(e,r,n){r=r||[];var i,a,o,s,l,c,u,h=(e=e||[]).map(Xt),f=r.map(Xt),p=e.reduce($t,{}),d=r.reduce($t,{}),m=h.slice(),g=Object.create(null);for(i=0,a=0;i<h.length;i++)o=h[i],d.hasOwnProperty(o)?a++:(n.push({command:qt.removeLayer,args:[o]}),m.splice(m.indexOf(o,a),1));for(i=0,a=0;i<f.length;i++)o=f[f.length-1-i],m[m.length-1-i]!==o&&(p.hasOwnProperty(o)?(n.push({command:qt.removeLayer,args:[o]}),m.splice(m.lastIndexOf(o,m.length-a),1)):a++,c=m[m.length-i],n.push({command:qt.addLayer,args:[d[o],c]}),m.splice(m.length-i,0,o),g[o]=!0);for(i=0;i<f.length;i++)if(s=p[o=f[i]],l=d[o],!g[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s[\"source-layer\"],l[\"source-layer\"])&&t.deepEqual(s.type,l.type)){for(u in Yt(s.layout,l.layout,n,o,null,qt.setLayoutProperty),Yt(s.paint,l.paint,n,o,null,qt.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:qt.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:qt.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Yt(s[u],l[u],n,o,u.slice(6),qt.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:qt.setLayerProperty,args:[o,u,l[u]]}));for(u in l)l.hasOwnProperty(u)&&!s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Yt(s[u],l[u],n,o,u.slice(6),qt.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:qt.setLayerProperty,args:[o,u,l[u]]}))}else n.push({command:qt.removeLayer,args:[o]}),c=m[m.lastIndexOf(o)+1],n.push({command:qt.addLayer,args:[l,c]})}(o,r.layers,n)}catch(t){console.warn(\"Unable to compute style diff:\",t),n=[{command:qt.setStyle,args:[r]}]}return n}var Kt=function(t,e){this.reset(t,e)};Kt.prototype.reset=function(t,e){this.points=t||[],this._distances=[0];for(var r=1;r<this.points.length;r++)this._distances[r]=this._distances[r-1]+this.points[r].dist(this.points[r-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(e||0,.5*this.length),this.paddedLength=this.length-2*this.padding},Kt.prototype.lerp=function(e){if(1===this.points.length)return this.points[0];e=t.clamp(e,0,1);for(var r=1,n=this._distances[r],i=e*this.paddedLength+this.padding;n<i&&r<this._distances.length;)n=this._distances[++r];var a=r-1,o=this._distances[a],s=n-o,l=s>0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Qt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a<this.xCellCount*this.yCellCount;a++)n.push([]),i.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function te(e,r,n,i,a){var o=t.create();return r?(t.scale(o,o,[1/a,1/a,1]),n||t.rotateZ(o,o,i.angle)):t.multiply(o,i.labelPlaneMatrix,e),o}function ee(e,r,n,i,a){if(r){var o=t.clone(e);return t.scale(o,o,[a,a,1]),n||t.rotateZ(o,o,-i.angle),o}return i.glCoordMatrix}function re(e,r){var n=[e.x,e.y,0,1];pe(n,n,r);var i=n[3];return{point:new t.Point(n[0]/i,n[1]/i),signedDistanceFromCamera:i}}function ne(t,e){return.5+t/e*.5}function ie(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ae(e,r,n,i,a,o,s,l){var c=i?e.textSizeData:e.iconSizeData,u=t.evaluateSizeForZoom(c,n.transform.zoom),h=[256/n.width*2+1,256/n.height*2+1],f=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;f.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,m=n.transform.width/n.transform.height,g=!1,y=0;y<d.length;y++){var v=d.get(y);if(v.hidden||v.writingMode===t.WritingMode.vertical&&!g)fe(v.numGlyphs,f);else{g=!1;var x=[v.anchorX,v.anchorY,0,1];if(t.transformMat4(x,x,r),ie(x,h)){var _=x[3],b=ne(n.transform.cameraToCenterDistance,_),w=t.evaluateSizeForFeature(c,u,v),T=s?w/b:w*b,k=new t.Point(v.anchorX,v.anchorY),A=re(k,a).point,M={},S=le(v,T,!1,l,r,a,o,e.glyphOffsetArray,p,f,A,k,M,m);g=S.useVertical,(S.notEnoughRoom||g||S.needsFlipping&&le(v,T,!0,l,r,a,o,e.glyphOffsetArray,p,f,A,k,M,m).notEnoughRoom)&&fe(v.numGlyphs,f)}else fe(v.numGlyphs,f)}}i?e.text.dynamicLayoutVertexBuffer.updateData(f):e.icon.dynamicLayoutVertexBuffer.updateData(f)}function oe(t,e,r,n,i,a,o,s,l,c,u){var h=s.glyphStartIndex+s.numGlyphs,f=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),m=e.getoffsetX(h-1),g=ue(t*d,r,n,i,a,o,s.segment,f,p,l,c,u);if(!g)return null;var y=ue(t*m,r,n,i,a,o,s.segment,f,p,l,c,u);return y?{first:g,last:y}:null}function se(e,r,n,i){return e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*i?{useVertical:!0}:(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function le(e,r,n,i,a,o,s,l,c,u,h,f,p,d){var m,g=r/24,y=e.lineOffsetX*g,v=e.lineOffsetY*g;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,_=e.lineStartIndex,b=e.lineStartIndex+e.lineLength,w=oe(g,l,y,v,n,h,f,e,c,o,p);if(!w)return{notEnoughRoom:!0};var T=re(w.first.point,s).point,k=re(w.last.point,s).point;if(i&&!n){var A=se(e.writingMode,T,k,d);if(A)return A}m=[w.first];for(var M=e.glyphStartIndex+1;M<x-1;M++)m.push(ue(g*l.getoffsetX(M),y,v,n,h,f,e.segment,_,b,c,o,p));m.push(w.last)}else{if(i&&!n){var S=re(f,a).point,E=e.lineStartIndex+e.segment+1,C=new t.Point(c.getx(E),c.gety(E)),L=re(C,a),I=L.signedDistanceFromCamera>0?L.point:ce(f,C,S,1,a),P=se(e.writingMode,S,I,d);if(P)return P}var z=ue(g*l.getoffsetX(e.glyphStartIndex),y,v,n,h,f,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,c,o,p);if(!z)return{notEnoughRoom:!0};m=[z]}for(var O=0,D=m;O<D.length;O+=1){var R=D[O];t.addDynamicAttributes(u,R.point,R.angle)}return{}}function ce(t,e,r,n,i){var a=re(t.add(t.sub(e)._unit()),i).point,o=r.sub(a);return r.add(o._mult(n/o.mag()))}function ue(e,r,n,i,a,o,s,l,c,u,h,f){var p=i?e-r:e+r,d=p>0?1:-1,m=0;i&&(d*=-1,m=Math.PI),d<0&&(m+=Math.PI);for(var g=d>0?l+s:l+s+1,y=a,v=a,x=0,_=0,b=Math.abs(p),w=[];x+_<=b;){if((g+=d)<l||g>=c)return null;if(v=y,w.push(y),void 0===(y=f[g])){var T=new t.Point(u.getx(g),u.gety(g)),k=re(T,h);if(k.signedDistanceFromCamera>0)y=f[g]=k.point;else{var A=g-d;y=ce(0===x?o:new t.Point(u.getx(A),u.gety(A)),T,v,b-x+1,h)}}x+=_,_=v.dist(y)}var M=(b-x)/_,S=y.sub(v),E=S.mult(M)._add(v);E._add(S._unit()._perp()._mult(n*d));var C=m+Math.atan2(y.y-v.y,y.x-v.x);return w.push(E),{point:E,angle:C,path:w}}Qt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Qt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Qt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Qt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Qt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Qt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var c=this.circles[3*l],u=this.circles[3*l+1],h=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:c-h,y1:u-h,x2:c+h,y2:u+h})}return a?o.filter(a):o}var f={hitTest:i,seenUids:{box:{},circle:{}}};return this._forEachCell(t,e,r,n,this._queryCell,o,f,a),i?o.length>0:o},Qt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var c=[],u={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,c,u,i),n?c.length>0:c},Qt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Qt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Qt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Qt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,c=this.boxCells[i];if(null!==c)for(var u=this.bboxes,h=0,f=c;h<f.length;h+=1){var p=f[h];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=u[d+2]&&e<=u[d+3]&&r>=u[d+0]&&n>=u[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:u[d],y1:u[d+1],x2:u[d+2],y2:u[d+3]})}}}var m=this.circleCells[i];if(null!==m)for(var g=this.circles,y=0,v=m;y<v.length;y+=1){var x=v[y];if(!l.circle[x]){l.circle[x]=!0;var _=3*x;if(this._circleAndRectCollide(g[_],g[_+1],g[_+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return a.push(!0),!0;var b=g[_],w=g[_+1],T=g[_+2];a.push({key:this.circleKeys[x],x1:b-T,y1:w-T,x2:b+T,y2:w+T})}}}},Qt.prototype._queryCellCircle=function(t,e,r,n,i,a,o,s){var l=o.circle,c=o.seenUids,u=this.boxCells[i];if(null!==u)for(var h=this.bboxes,f=0,p=u;f<p.length;f+=1){var d=p[f];if(!c.box[d]){c.box[d]=!0;var m=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,h[m+0],h[m+1],h[m+2],h[m+3])&&(!s||s(this.boxKeys[d])))return a.push(!0),!0}}var g=this.circleCells[i];if(null!==g)for(var y=this.circles,v=0,x=g;v<x.length;v+=1){var _=x[v];if(!c.circle[_]){c.circle[_]=!0;var b=3*_;if(this._circlesCollide(y[b],y[b+1],y[b+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[_])))return a.push(!0),!0}}},Qt.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToXCellCoord(t),c=this._convertToYCellCoord(e),u=this._convertToXCellCoord(r),h=this._convertToYCellCoord(n),f=l;f<=u;f++)for(var p=c;p<=h;p++){var d=this.xCellCount*p+f;if(i.call(this,t,e,r,n,d,a,o,s))return}},Qt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Qt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Qt.prototype._circlesCollide=function(t,e,r,n,i,a){var o=n-t,s=i-e,l=r+a;return l*l>o*o+s*s},Qt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var c=(o-i)/2,u=Math.abs(e-(i+c));if(u>c+r)return!1;if(l<=s||u<=c)return!0;var h=l-s,f=u-c;return h*h+f*f<=r*r};var he=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function fe(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(he,3*n)}}function pe(t,e,r){var n=e[0],i=e[1];return t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t[3]=r[3]*n+r[7]*i+r[15],t}var de=100,me=function(t,e,r){void 0===e&&(e=new Qt(t.width+200,t.height+200,25)),void 0===r&&(r=new Qt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+de,this.screenBottomBoundary=t.height+de,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function ge(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}me.prototype.placeCollisionBox=function(t,e,r,n,i){var a=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*a.perspectiveRatio,s=t.x1*o+a.point.x,l=t.y1*o+a.point.y,c=t.x2*o+a.point.x,u=t.y2*o+a.point.y;return!this.isInsideGrid(s,l,c,u)||!e&&this.grid.hitTest(s,l,c,u,i)?{box:[],offscreen:!1}:{box:[s,l,c,u],offscreen:this.isOffscreen(s,l,c,u)}},me.prototype.placeCollisionCircles=function(e,r,n,i,a,o,s,l,c,u,h,f,p){var d=[],m=new t.Point(r.anchorX,r.anchorY),g=re(m,o),y=ne(this.transform.cameraToCenterDistance,g.signedDistanceFromCamera),v=(u?a/y:a*y)/t.ONE_EM,x=re(m,s).point,_=oe(v,i,r.lineOffsetX*v,r.lineOffsetY*v,!1,x,m,r,n,s,{}),b=!1,w=!1,T=!0;if(_){for(var k=.5*f*y+p,A=new t.Point(-100,-100),M=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new Kt,E=_.first,C=_.last,L=[],I=E.path.length-1;I>=1;I--)L.push(E.path[I]);for(var P=1;P<C.path.length;P++)L.push(C.path[P]);var z=2.5*k;if(l){var O=L.map((function(t){return re(t,l)}));L=O.some((function(t){return t.signedDistanceFromCamera<=0}))?[]:O.map((function(t){return t.point}))}var D=[];if(L.length>0){for(var R=L[0].clone(),F=L[0].clone(),B=1;B<L.length;B++)R.x=Math.min(R.x,L[B].x),R.y=Math.min(R.y,L[B].y),F.x=Math.max(F.x,L[B].x),F.y=Math.max(F.y,L[B].y);D=R.x>=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[L]:F.x<A.x||R.x>M.x||F.y<A.y||R.y>M.y?[]:t.clipLine([L],A.x,A.y,M.x,M.y)}for(var N=0,j=D;N<j.length;N+=1){var U=j[N];S.reset(U,.25*k);var V;V=S.length<=.5*k?1:Math.ceil(S.paddedLength/z)+1;for(var q=0;q<V;q++){var H=q/Math.max(V-1,1),G=S.lerp(H),Z=G.x+de,W=G.y+de;d.push(Z,W,k,0);var Y=Z-k,X=W-k,$=Z+k,J=W+k;if(T=T&&this.isOffscreen(Y,X,$,J),w=w||this.isInsideGrid(Y,X,$,J),!e&&this.grid.hitTestCircle(Z,W,k,h)&&(b=!0,!c))return{circles:[],offscreen:!1,collisionDetected:b}}}}return{circles:!c&&b||!w?[]:d,offscreen:T,collisionDetected:b}},me.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,i=1/0,a=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var c=l[s],u=new t.Point(c.x+de,c.y+de);n=Math.min(n,u.x),i=Math.min(i,u.y),a=Math.max(a,u.x),o=Math.max(o,u.y),r.push(u)}for(var h={},f={},p=0,d=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o));p<d.length;p+=1){var m=d[p],g=m.key;if(void 0===h[g.bucketInstanceId]&&(h[g.bucketInstanceId]={}),!h[g.bucketInstanceId][g.featureIndex]){var y=[new t.Point(m.x1,m.y1),new t.Point(m.x2,m.y1),new t.Point(m.x2,m.y2),new t.Point(m.x1,m.y2)];t.polygonIntersectsPolygon(r,y)&&(h[g.bucketInstanceId][g.featureIndex]=!0,void 0===f[g.bucketInstanceId]&&(f[g.bucketInstanceId]=[]),f[g.bucketInstanceId].push(g.featureIndex))}}return f},me.prototype.insertCollisionBox=function(t,e,r,n,i){var a={bucketInstanceId:r,featureIndex:n,collisionGroupID:i};(e?this.ignoredGrid:this.grid).insert(a,t[0],t[1],t[2],t[3])},me.prototype.insertCollisionCircles=function(t,e,r,n,i){for(var a=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:i},s=0;s<t.length;s+=4)a.insertCircle(o,t[s],t[s+1],t[s+2])},me.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var i=[r,n,0,1];return pe(i,i,e),{point:new t.Point((i[0]/i[3]+1)/2*this.transform.width+de,(-i[1]/i[3]+1)/2*this.transform.height+de),perspectiveRatio:.5+this.transform.cameraToCenterDistance/i[3]*.5}},me.prototype.isOffscreen=function(t,e,r,n){return r<de||t>=this.screenRightBoundary||n<de||e>this.screenBottomBoundary},me.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},me.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var ye=function(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r};ye.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var ve=function(t,e,r,n,i){this.text=new ye(t?t.text:null,e,r,i),this.icon=new ye(t?t.icon:null,e,n,i)};ve.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var xe=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},_e=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},be=function(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i},we=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function Te(e,r,n,i,a){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,i);return new t.Point(s+c[0]*a,l+c[1]*a)}function ke(e,r,n,i,a,o){var s=e.x1,l=e.x2,c=e.y1,u=e.y2,h=e.anchorPointX,f=e.anchorPointY,p=new t.Point(r,n);return i&&p._rotate(a?o:-o),{x1:s+p.x,y1:c+p.y,x2:l+p.x,y2:u+p.y,anchorPointX:h,anchorPointY:f}}we.prototype.get=function(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){var e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:function(t){return t.collisionGroupID===e}}}return this.collisionGroups[t]};var Ae=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new me(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new we(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function Me(t,e,r,n,i){t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0)}Ae.prototype.getBucketParts=function(e,r,n,i){var a=n.getBucket(r),o=n.latestFeatureIndex;if(a&&o&&r.id===a.layerIds[0]){var s=n.collisionBoxArray,l=a.layers[0].layout,c=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),u=n.tileSize/t.EXTENT,h=this.transform.calculatePosMatrix(n.tileID.toUnwrapped()),f=\"map\"===l.get(\"text-pitch-alignment\"),p=\"map\"===l.get(\"text-rotation-alignment\"),d=ge(n,1,this.transform.zoom),m=te(h,f,p,this.transform,d),g=null;if(f){var y=ee(h,f,p,this.transform,d);g=t.multiply([],this.transform.labelPlaneMatrix,y)}this.retainedQueryData[a.bucketInstanceId]=new be(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);var v={bucket:a,layout:l,posMatrix:h,textLabelPlaneMatrix:m,labelToScreenMatrix:g,scale:c,textPixelRatio:u,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(var x=0,_=a.sortKeyRanges;x<_.length;x+=1){var b=_[x],w=b.sortKey,T=b.symbolInstanceStart,k=b.symbolInstanceEnd;e.push({sortKey:w,symbolInstanceStart:T,symbolInstanceEnd:k,parameters:v})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:v})}},Ae.prototype.attemptAnchorPlacement=function(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d){var m,g=[h.textOffset0,h.textOffset1],y=Te(t,r,n,g,i),v=this.collisionIndex.placeCollisionBox(ke(e,y.x,y.y,a,o,this.transform.angle),u,s,l,c.predicate);if(!d||0!==this.collisionIndex.placeCollisionBox(ke(d,y.x,y.y,a,o,this.transform.angle),u,s,l,c.predicate).box.length)return v.box.length>0?(this.prevPlacement&&this.prevPlacement.variableOffsets[h.crossTileID]&&this.prevPlacement.placements[h.crossTileID]&&this.prevPlacement.placements[h.crossTileID].text&&(m=this.prevPlacement.variableOffsets[h.crossTileID].anchor),this.variableOffsets[h.crossTileID]={textOffset:g,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:m},this.markUsedJustification(f,t,h,p),f.allowVerticalPlacement&&(this.markUsedOrientation(f,p,h),this.placedOrientations[h.crossTileID]=p),{shift:y,placedGlyphBoxes:v}):void 0},Ae.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,c=a.textLabelPlaneMatrix,u=a.labelToScreenMatrix,h=a.textPixelRatio,f=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,m=a.collisionGroup,g=s.get(\"text-optional\"),y=s.get(\"icon-optional\"),v=s.get(\"text-allow-overlap\"),x=s.get(\"icon-allow-overlap\"),_=\"map\"===s.get(\"text-rotation-alignment\"),b=\"map\"===s.get(\"text-pitch-alignment\"),w=\"none\"!==s.get(\"icon-text-fit\"),T=\"viewport-y\"===s.get(\"symbol-z-order\"),k=v&&(x||!o.hasIconData()||y),A=x&&(v||!o.hasTextData()||g);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(f)i.placements[e.crossTileID]=new xe(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,C={box:null,offscreen:null},L={box:null,offscreen:null},I=null,P=null,z=0,O=0,D=0;a.textFeatureIndex?z=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(z=e.featureIndex),a.verticalTextFeatureIndex&&(O=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i<s.length&&(s[i]===t.WritingMode.vertical?(C=n(),L=C):C=r(),!(C&&C.box&&C.box.length));i+=1);else C=r()};if(s.get(\"text-variable-anchor\")){var N=s.get(\"text-variable-anchor\");if(i.prevPlacement&&i.prevPlacement.variableOffsets[e.crossTileID]){var j=i.prevPlacement.variableOffsets[e.crossTileID];N.indexOf(j.anchor)>0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,c=e.textBoxScale,u=w&&!x?r:null,f={box:[],offscreen:!1},p=v?2*N.length:N.length,d=0;d<p;++d){var g=N[d%N.length],y=d>=N.length,k=i.attemptAnchorPlacement(g,t,a,s,c,_,b,h,l,m,y,e,o,n,u);if(k&&(f=k.placedGlyphBoxes)&&f.box&&f.box.length){T=!0,E=k.shift;break}}return f};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=C&&C.box&&C.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),C&&(T=C.box,S=C.offscreen);var V=F(C&&C.box);if(!T&&i.prevPlacement){var q=i.prevPlacement.variableOffsets[e.crossTileID];q&&(i.variableOffsets[e.crossTileID]=q,i.markUsedJustification(o,q.anchor,e,V))}}else{var H=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,v,h,l,m.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return H(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?H(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(C&&C.box&&C.box.length)}}if(T=(p=C)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),Z=t.evaluateSizeForFeature(o.textSizeData,d,G),W=s.get(\"text-padding\"),Y=e.collisionCircleDiameter;I=i.collisionIndex.placeCollisionCircles(v,G,o.lineVertexArray,o.glyphOffsetArray,Z,l,c,u,n,b,m.predicate,Y,W),T=v||I.circles.length>0&&!I.collisionDetected,S=S&&I.offscreen}if(a.iconFeatureIndex&&(D=a.iconFeatureIndex),a.iconBox){var X=function(t){var e=w&&E?ke(t,E.x,E.y,_,b,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,h,l,m.predicate)};M=L&&L.box&&L.box.length&&a.verticalIconBox?(P=X(a.verticalIconBox)).box.length>0:(P=X(a.iconBox)).box.length>0,S=S&&P.offscreen}var $=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,J=y||0===e.numIconVertices;if($||J?J?$||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(L&&L.box&&O?i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,O,m.ID):i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,z,m.ID)),M&&P&&i.collisionIndex.insertCollisionBox(P.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,D,m.ID),I&&(T&&i.collisionIndex.insertCollisionCircles(I.circles,s.get(\"text-ignore-placement\"),o.bucketInstanceId,z,m.ID),n)){var K=o.bucketInstanceId,Q=i.collisionCircleArrays[K];void 0===Q&&(Q=i.collisionCircleArrays[K]=new _e);for(var tt=0;tt<I.circles.length;tt+=4)Q.circles.push(I.circles[tt+0]),Q.circles.push(I.circles[tt+1]),Q.circles.push(I.circles[tt+2]),Q.circles.push(I.collisionDetected?1:0)}i.placements[e.crossTileID]=new xe(T||k,M||A,S||o.justReloaded),r[e.crossTileID]=!0}};if(T)for(var S=o.getSortedSymbolIndexes(this.transform.angle),E=S.length-1;E>=0;--E){var C=S[E];M(o.symbolInstances.get(C),o.collisionArrays[C])}else for(var L=e.symbolInstanceStart;L<e.symbolInstanceEnd;L++)M(o.symbolInstances.get(L),o.collisionArrays[L]);if(n&&o.bucketInstanceId in this.collisionCircleArrays){var I=this.collisionCircleArrays[o.bucketInstanceId];t.invert(I.invProjMatrix,l),I.viewportMatrix=this.collisionIndex.getViewportMatrix()}o.justReloaded=!1},Ae.prototype.markUsedJustification=function(e,r,n,i){var a,o={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};a=i===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:o[t.getAnchorJustification(r)];for(var s=0,l=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];s<l.length;s+=1){var c=l[s];c>=0&&(e.text.placedSymbolArray.get(c).crossTileID=a>=0&&c!==a?0:n.crossTileID)}},Ae.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1){var l=s[o];e.text.placedSymbolArray.get(l).placedOrientation=i}n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=a)},Ae.prototype.commit=function(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;var e=this.prevPlacement,r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;var n=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],c=i[s];c?(this.opacities[s]=new ve(c,n,l.text,l.icon),r=r||l.text!==c.text.placed||l.icon!==c.icon.placed):(this.opacities[s]=new ve(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var u in i){var h=i[u];if(!this.opacities[u]){var f=new ve(h,n,!1,!1);f.isHidden()||(this.opacities[u]=f,r=r||h.text.placed||h.icon.placed)}}for(var p in a)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=a[p]);for(var d in o)this.placedOrientations[d]||!this.opacities[d]||this.opacities[d].isHidden()||(this.placedOrientations[d]=o[d]);r?this.lastPlacementChangeTime=t:\"number\"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)},Ae.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){var a=i[n],o=a.getBucket(t);o&&a.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,a.collisionBoxArray)}},Ae.prototype.updateBucketOpacities=function(e,r,n){var i=this;e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexArray.clear(),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexArray.clear();var a=e.layers[0].layout,o=new ve(null,0,!1,!1,!0),s=a.get(\"text-allow-overlap\"),l=a.get(\"icon-allow-overlap\"),c=a.get(\"text-variable-anchor\"),u=\"map\"===a.get(\"text-rotation-alignment\"),h=\"map\"===a.get(\"text-pitch-alignment\"),f=\"none\"!==a.get(\"icon-text-fit\"),p=new ve(null,0,s&&(l||!e.hasIconData()||a.get(\"icon-optional\")),l&&(s||!e.hasTextData()||a.get(\"text-optional\")),!0);!e.collisionArrays&&n&&(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData())&&e.deserializeCollisionBoxes(n);for(var d=function(t,e,r){for(var n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r)},m=function(n){var a=e.symbolInstances.get(n),s=a.numHorizontalGlyphVertices,l=a.numVerticalGlyphVertices,m=a.crossTileID,g=r[m],y=i.opacities[m];g?y=o:y||(y=p,i.opacities[m]=y),r[m]=!0;var v=s>0||l>0,x=a.numIconVertices>0,_=i.placedOrientations[a.crossTileID],b=_===t.WritingMode.vertical,w=_===t.WritingMode.horizontal||_===t.WritingMode.horizontalOnly;if(v){var T=Oe(y.text),k=b?De:T;d(e.text,s,k);var A=w?De:T;d(e.text,l,A);var M=y.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||b?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=M||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,_);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,\"left\",a,E),i.markUsedOrientation(e,E,a))}if(x){var C=Oe(y.icon),L=!(f&&a.verticalPlacedIconSymbolIndex&&b);if(a.placedIconSymbolIndex>=0){var I=L?C:De;d(e.icon,a.numIconVertices,I),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=y.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var P=L?De:C;d(e.icon,a.numVerticalIconVertices,P),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=y.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var z=e.collisionArrays[n];if(z){var O=new t.Point(0,0);if(z.textBox||z.verticalTextBox){var D=!0;if(c){var R=i.variableOffsets[m];R?(O=Te(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),u&&O._rotate(h?i.transform.angle:-i.transform.angle)):D=!1}z.textBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!D||b,O.x,O.y),z.verticalTextBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!D||w,O.x,O.y)}var F=Boolean(!w&&z.verticalIconBox);z.iconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,F,f?O.x:0,f?O.y:0),z.verticalIconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,!F,f?O.x:0,f?O.y:0)}}},g=0;g<e.symbolInstances.length;g++)m(g);if(e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexBuffer&&e.iconCollisionBox.collisionVertexBuffer.updateData(e.iconCollisionBox.collisionVertexArray),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexBuffer&&e.textCollisionBox.collisionVertexBuffer.updateData(e.textCollisionBox.collisionVertexArray),e.bucketInstanceId in this.collisionCircleArrays){var y=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=y.invProjMatrix,e.placementViewportMatrix=y.viewportMatrix,e.collisionCircleArray=y.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},Ae.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},Ae.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},Ae.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},Ae.prototype.stillRecent=function(t,e){var r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t},Ae.prototype.setStale=function(){this.stale=!0};var Se=Math.pow(2,25),Ee=Math.pow(2,24),Ce=Math.pow(2,17),Le=Math.pow(2,16),Ie=Math.pow(2,9),Pe=Math.pow(2,8),ze=Math.pow(2,1);function Oe(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*Se+e*Ee+r*Ce+e*Le+r*Ie+e*Pe+r*ze+e}var De=0,Re=function(t){this._sortAcrossTiles=\"viewport-y\"!==t.layout.get(\"symbol-z-order\")&&void 0!==t.layout.get(\"symbol-sort-key\").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Re.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex<t.length;){var o=t[this._currentTileIndex];if(e.getBucketParts(a,n,o,this._sortAcrossTiles),this._currentTileIndex++,i())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,a.sort((function(t,e){return t.sortKey-e.sortKey})));this._currentPartIndex<a.length;){var s=a[this._currentPartIndex];if(e.placeLayerBucketPart(s,this._seenCrossTileIDs,r),this._currentPartIndex++,i())return!0}return!1};var Fe=function(t,e,r,n,i,a,o){this.placement=new Ae(t,i,a,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};Fe.prototype.isDone=function(){return this._done},Fe.prototype.continuePlacement=function(e,r,n){for(var i=this,a=t.browser.now(),o=function(){var e=t.browser.now()-a;return!i._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Re(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},Fe.prototype.commit=function(t){return this.placement.commit(t),this.placement};var Be=512/t.EXTENT/2,Ne=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var i=e.get(n),a=i.key;this.indexedSymbolInstances[a]||(this.indexedSymbolInstances[a]=[]),this.indexedSymbolInstances[a].push({crossTileID:i.crossTileID,coord:this.getScaledCoordinates(i,t)})}};Ne.prototype.getScaledCoordinates=function(e,r){var n=r.canonical.z-this.tileID.canonical.z,i=Be/Math.pow(2,n);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*i),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*i)}},Ne.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),i=0;i<t.length;i++){var a=t.get(i);if(!a.crossTileID){var o=this.indexedSymbolInstances[a.key];if(o)for(var s=this.getScaledCoordinates(a,e),l=0,c=o;l<c.length;l+=1){var u=c[l];if(Math.abs(u.coord.x-s.x)<=n&&Math.abs(u.coord.y-s.y)<=n&&!r[u.crossTileID]){r[u.crossTileID]=!0,a.crossTileID=u.crossTileID;break}}}}};var je=function(){this.maxCrossTileID=0};je.prototype.generate=function(){return++this.maxCrossTileID};var Ue=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Ue.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],i={};for(var a in n){var o=n[a];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),i[o.tileID.key]=o}this.indexes[r]=i}this.lng=t},Ue.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++)e.symbolInstances.get(n).crossTileID=0;this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var i=this.usedCrossTileIDs[t.overscaledZ];for(var a in this.indexes){var o=this.indexes[a];if(Number(a)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var c=o[t.scaledTo(Number(a)).key];c&&c.findMatches(e.symbolInstances,t,i)}}for(var u=0;u<e.symbolInstances.length;u++){var h=e.symbolInstances.get(u);h.crossTileID||(h.crossTileID=r.generate(),i[h.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new Ne(t,e.symbolInstances,e.bucketInstanceId),!0},Ue.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,i=e.indexedSymbolInstances[r];n<i.length;n+=1){var a=i[n];delete this.usedCrossTileIDs[t][a.crossTileID]}},Ue.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var i in n)t[n[i].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[i]),delete n[i],e=!0)}return e};var Ve=function(){this.layerIndexes={},this.crossTileIDs=new je,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Ve.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Ue);var i=!1,a={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],c=l.getBucket(t);c&&t.id===c.layerIds[0]&&(c.bucketInstanceId||(c.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,c,this.crossTileIDs)&&(i=!0),a[c.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i},Ve.prototype.pruneUnusedLayers=function(t){var e={};for(var r in t.forEach((function(t){e[t]=!0})),this.layerIndexes)e[r]||delete this.layerIndexes[r]};var qe=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return\"source.canvas\"!==t.identifier})))},He=t.pick(qt,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),Ge=t.pick(qt,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),Ze=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var i=t.styleSpec.$root[n];if(i.required){var a;null!=(a=\"version\"===n?r:\"array\"===i.type?[]:{})&&(e[n]=a)}}return e}(),We=function(e){function r(n,i){var a=this;void 0===i&&(i={}),e.call(this),this.map=n,this.dispatcher=new A(jt(),this),this.imageManager=new f,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,i.localIdeographFontFamily),this.lineAtlas=new k(256,512),this.crossTileSymbolIndex=new Ve,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"setReferrer\",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginStateChange((function(e){var r={pluginStatus:e.pluginStatus,pluginURL:e.pluginURL};o.dispatcher.broadcast(\"syncRTLPluginState\",r,(function(e,r){if(t.triggerPluginCompletionEvent(e),r&&r.every((function(t){return t})))for(var n in o.sourceCaches)o.sourceCaches[n].reload()}))})),this.on(\"data\",(function(t){if(\"source\"===t.dataType&&\"metadata\"===t.sourceDataType){var e=a.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in a._layers){var i=a._layers[n];i.source===r.id&&a._validateLayer(i)}}}}))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"}));var i=\"boolean\"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var a=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(a,(function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,i)}))},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._request=t.browser.frame((function(){n._request=null,n._load(e,!1!==r.validate)}))},r.prototype.loadEmpty=function(){this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._load(Ze,!1)},r.prototype._load=function(e,r){if(!r||!qe(this,t.validateStyle(e))){for(var n in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(n,e.sources[n],{validate:!1});e.sprite?this._loadSprite(e.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var i=Vt(this.stylesheet.layers);this._order=i.map((function(t){return t.id})),this._layers={},this._serializedLayers={};for(var a=0,o=i;a<o.length;a+=1){var s=o[a];(s=t.createStyleLayer(s)).setEventedParent(this,{layer:{id:s.id}}),this._layers[s.id]=s,this._serializedLayers[s.id]=s.serialize()}this.dispatcher.broadcast(\"setLayers\",this._serializeLayers(this._order)),this.light=new T(this.stylesheet.light),this.fire(new t.Event(\"data\",{dataType:\"style\"})),this.fire(new t.Event(\"style.load\"))}},r.prototype._loadSprite=function(e){var r=this;this._spriteRequest=function(e,r,n){var i,a,o,s=t.browser.devicePixelRatio>1?\"@2x\":\"\",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,\".json\"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,u())})),c=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),(function(t,e){c=null,o||(o=t,a=e,u())}));function u(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],c=l.width,u=l.height,h=l.x,f=l.y,p=l.sdf,d=l.pixelRatio,m=l.stretchX,g=l.stretchY,y=l.content,v=new t.RGBAImage({width:c,height:u});t.RGBAImage.copy(e,v,{x:h,y:f},{x:0,y:0},{width:c,height:u}),r[s]={data:v,pixelRatio:d,sdf:p,stretchX:m,stretchY:g,content:y}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),c&&(c.cancel(),c=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast(\"setImages\",r._availableImages),r.fire(new t.Event(\"data\",{dataType:\"style\"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();(\"geojson\"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+n+'\" does not exist on source \"'+i.id+'\" as specified by style layer \"'+e.id+'\"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=this._layers[i];\"custom\"!==a.type&&e.push(a.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),i=Object.keys(this._removedLayers);for(var a in(n.length||i.length)&&this._updateWorkerLayers(n,i),this._updatedSources){var o=this._updatedSources[a];\"reload\"===o?this._reloadSource(a):\"clear\"===o&&this._clearSource(a)}for(var s in this._updateTilesForChangedImages(),this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}var l={};for(var c in this.sourceCaches){var u=this.sourceCaches[c];l[c]=u.used,u.used=!1}for(var h=0,f=this._order;h<f.length;h+=1){var p=f[h],d=this._layers[p];d.recalculate(e,this._availableImages),!d.isHidden(e.zoom)&&d.source&&(this.sourceCaches[d.source].used=!0)}for(var m in l){var g=this.sourceCaches[m];l[m]!==g.used&&g.fire(new t.Event(\"data\",{sourceDataType:\"visibility\",dataType:\"source\",sourceId:m}))}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event(\"data\",{dataType:\"style\"}))}},r.prototype._updateTilesForChangedImages=function(){var t=Object.keys(this._changedImages);if(t.length){for(var e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies([\"icons\",\"patterns\"],t);this._changedImages={}}},r.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast(\"updateLayers\",{layers:this._serializeLayers(t),removedIds:e})},r.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),qe(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=Vt(e.layers);var n=Jt(this.serialize(),e).filter((function(t){return!(t.command in Ge)}));if(0===n.length)return!1;var i=n.filter((function(t){return!(t.command in He)}));if(i.length>0)throw new Error(\"Unimplemented: \"+i.map((function(t){return t.command})).join(\", \")+\".\");return n.forEach((function(t){\"setTransition\"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(e,r),this._afterImageUpdated(e)},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"No image with this name exists.\")));this.imageManager.removeImage(e),this._afterImageUpdated(e)},r.prototype._afterImageUpdated=function(e){this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.dispatcher.broadcast(\"setImages\",this._availableImages),this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error(\"There is already a source with this ID\");if(!r.type)throw new Error(\"The type property must be defined, but only the following properties were given: \"+Object.keys(r).join(\", \")+\".\");if(!([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0&&this._validate(t.validateStyle.source,\"sources.\"+e,r,null,n))){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Pt(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error(\"There is no source with this ID\");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source \"'+e+'\" cannot be removed while layer \"'+r+'\" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id \"'+i+'\" already exists on this map')));else{var a;if(\"custom\"===e.type){if(qe(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if(\"object\"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,\"layers.\"+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&\"custom\"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]=\"clear\":(this._updatedSources[a.source]=\"reload\",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be moved.\")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be removed.\")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot have zoom extent.\")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,\"layers.\"+i.id+\".filter\",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be filtered.\")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style.\")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;\"geojson\"===o&&i?this.fire(new t.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o=\"vector\"===a?e.sourceLayer:void 0;\"vector\"!==a||o?r&&\"string\"!=typeof e.id&&\"number\"!=typeof e.id?this.fire(new t.ErrorEvent(new Error(\"A feature id is required to remove its specific state property.\"))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if(\"vector\"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+r+\"' does not exist in the map's style.\")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&\"raster\"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]=\"reload\",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return\"fill-extrusion\"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s<l.length;s+=1){var c=l[s][o];if(c)for(var u=0,h=c;u<h.length;u+=1){var f=h[u];i.push(f)}}}}i.sort((function(t,e){return e.intersectionZ-t.intersectionZ}));for(var p=[],d=this._order.length-1;d>=0;d--){var m=this._order[d];if(r(m))for(var g=i.length-1;g>=0;g--){var y=i[g].feature;if(n[y.layer.id]<d)break;p.push(y),i.pop()}else for(var v=0,x=t;v<x.length;v+=1){var _=x[v][m];if(_)for(var b=0,w=_;b<w.length;b+=1){var T=w[b];p.push(T.feature)}}}return p},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,\"queryRenderedFeatures.filter\",r.filter,null,r);var i={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new t.ErrorEvent(new Error(\"parameters.layers must be an Array.\"))),[];for(var a=0,o=r.layers;a<o.length;a+=1){var s=o[a],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error(\"The layer '\"+s+\"' does not exist in the map's style and cannot be queried for features.\"))),[];i[l.source]=!0}}var c=[];for(var u in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!i[u]||c.push(B(this.sourceCaches[u],this._layers,this._serializedLayers,e,r,n));return this.placement&&c.push(function(t,e,r,n,i,a,o){for(var s={},l=a.queryRenderedSymbols(n),c=[],u=0,h=Object.keys(l).map(Number);u<h.length;u+=1){var f=h[u];c.push(o[f])}c.sort(N);for(var p=function(){var r=m[d],n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,i.filter,i.layers,i.availableImages,t);for(var a in n){var o=s[a]=s[a]||[],c=n[a];c.sort((function(t,e){var n=r.featureSortOrder;if(n){var i=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-i}return e.featureIndex-t.featureIndex}));for(var u=0,h=c;u<h.length;u+=1){var f=h[u];o.push(f)}}},d=0,m=c;d<m.length;d+=1)p();var g=function(e){s[e].forEach((function(n){var i=n.feature,a=t[e],o=r[a.source].getFeatureState(i.layer[\"source-layer\"],i.id);i.source=i.layer.source,i.layer[\"source-layer\"]&&(i.sourceLayer=i.layer[\"source-layer\"]),i.state=o}))};for(var y in s)g(y);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(c)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,\"querySourceFeatures.filter\",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map((function(e){return t.getTileByID(e)})),n=[],i={},a=0;a<r.length;a++){var o=r[a],s=o.tileID.canonical.key;i[s]||(i[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called \"'+t+'\" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast(\"loadWorkerSource\",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),i=!1;for(var a in e)if(!t.deepEqual(e[a],n[a])){i=!0;break}if(i){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,i,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&qe(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},i)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off(\"pluginStateChange\",this._rtlTextPluginCallback),this._layers)this._layers[e].setEventedParent(null);for(var r in this.sourceCaches)this.sourceCaches[r].clearTiles(),this.sourceCaches[r].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,i,a){void 0===a&&(a=!1);for(var o=!1,s=!1,l={},c=0,u=this._order;c<u.length;c+=1){var h=u[c],f=this._layers[h];if(\"symbol\"===f.type){if(!l[f.source]){var p=this.sourceCaches[f.source];l[f.source]=p.getRenderableIds(!0).map((function(t){return p.getTileByID(t)})).sort((function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)}))}var d=this.crossTileSymbolIndex.addLayer(f,l[f.source],e.center.lng);o=o||d}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((a=a||this._layerOrderChanged||0===n)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now(),e.zoom))&&(this.pauseablePlacement=new Fe(e,this._order,a,r,n,i,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(var m=0,g=this._order;m<g.length;m+=1){var y=g[m],v=this._layers[y];\"symbol\"===v.type&&this.placement.updateLayerOpacities(v,l[v.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(t.browser.now())},r.prototype._releaseSymbolFadeTiles=function(){for(var t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()},r.prototype.getImages=function(t,e,r){this.imageManager.getImages(e.icons,r),this._updateTilesForChangedImages();var n=this.sourceCaches[e.source];n&&n.setDependencies(e.tileID.key,e.type,e.icons)},r.prototype.getGlyphs=function(t,e,r){this.glyphManager.getGlyphs(e.stacks,r)},r.prototype.getResource=function(e,r,n){return t.makeRequest(r,n)},r}(t.Evented);We.getSourceType=function(t){return R[t]},We.setSourceType=function(t,e){R[t]=e},We.registerForPluginStateChange=t.registerForPluginStateChange;var Ye=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Xe=br(\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\",\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}\"),$e=br(\"uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),Je=br(\"uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}\"),Ke=br(\"varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main(void) {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}\"),Qe=br(\"void main() {gl_FragColor=vec4(1.0);}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),tr=br(\"uniform highp float u_intensity;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main() {\\n#pragma mapbox: initialize highp float weight\\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#pragma mapbox: define mediump float radius\\nconst highp float ZERO=1.0/255.0/16.0;\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main(void) {\\n#pragma mapbox: initialize highp float weight\\n#pragma mapbox: initialize mediump float radius\\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}\"),er=br(\"uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(0.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}\"),rr=br(\"varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),nr=br(\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\"),ir=br(\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}\"),ar=br(\"#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_FragColor=color*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);}\"),or=br(\"varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),sr=br(\"uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),lr=br(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}\"),cr=br(\"varying vec4 v_color;void main() {gl_FragColor=v_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\\n#pragma mapbox: define highp float base\\n#pragma mapbox: define highp float height\\n#pragma mapbox: define highp vec4 color\\nvoid main() {\\n#pragma mapbox: initialize highp float base\\n#pragma mapbox: initialize highp float height\\n#pragma mapbox: initialize highp vec4 color\\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}\"),ur=br(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\\n? a_pos\\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}\"),hr=br(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggerationFactor=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;float exaggeration=u_zoom < 15.0 ? (u_zoom-15.0)*exaggerationFactor : 0.0;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/pow(2.0,exaggeration+(19.2562-u_zoom));gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\"),fr=br(\"uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\\n#define PI 3.141592653589793\\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\"),pr=br(\"uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),dr=br(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp vec2 v_uv;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,v_uv);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;attribute float a_uv_x;attribute float a_split_index;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;uniform float u_image_height;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp vec2 v_uv;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;highp float texel_height=1.0/u_image_height;highp float half_texel_height=0.5*texel_height;v_uv=vec2(a_uv_x,a_split_index*texel_height-half_texel_height);vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),mr=br(\"uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}\"),gr=br(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}\"),yr=br(\"uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\"),vr=br(\"uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}\"),xr=br(\"#define SDF_PX 8.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}\"),_r=br(\"#define SDF_PX 8.0\\n#define SDF 1.0\\n#define ICON 0.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}\");function br(t,e){var r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n=e.match(/attribute ([\\w]+) ([\\w]+)/g),i=t.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),a=e.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),o=a?a.concat(i):i,s={};return{fragmentSource:t=t.replace(r,(function(t,e,r,n,i){return s[i]=!0,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nvarying \"+r+\" \"+n+\" \"+i+\";\\n#else\\nuniform \"+r+\" \"+n+\" u_\"+i+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\"})),vertexSource:e=e.replace(r,(function(t,e,r,n,i){var a=\"float\"===n?\"vec2\":\"vec4\",o=i.match(/color/)?\"color\":a;return s[i]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nuniform lowp float u_\"+i+\"_t;\\nattribute \"+r+\" \"+a+\" a_\"+i+\";\\nvarying \"+r+\" \"+n+\" \"+i+\";\\n#else\\nuniform \"+r+\" \"+n+\" u_\"+i+\";\\n#endif\\n\":\"vec4\"===o?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+i+\" = a_\"+i+\";\\n#else\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+i+\" = unpack_mix_\"+o+\"(a_\"+i+\", u_\"+i+\"_t);\\n#else\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nuniform lowp float u_\"+i+\"_t;\\nattribute \"+r+\" \"+a+\" a_\"+i+\";\\n#else\\nuniform \"+r+\" \"+n+\" u_\"+i+\";\\n#endif\\n\":\"vec4\"===o?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+n+\" \"+i+\" = a_\"+i+\";\\n#else\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+n+\" \"+i+\" = unpack_mix_\"+o+\"(a_\"+i+\", u_\"+i+\"_t);\\n#else\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\"})),staticAttributes:n,staticUniforms:o}}var wr=Object.freeze({__proto__:null,prelude:Xe,background:$e,backgroundPattern:Je,circle:Ke,clippingMask:Qe,heatmap:tr,heatmapTexture:er,collisionBox:rr,collisionCircle:nr,debug:ir,fill:ar,fillOutline:or,fillOutlinePattern:sr,fillPattern:lr,fillExtrusion:cr,fillExtrusionPattern:ur,hillshadePrepare:hr,hillshade:fr,line:pr,lineGradient:dr,linePattern:mr,lineSDF:gr,raster:yr,symbolIcon:vr,symbolSDF:xr,symbolTextAndIcon:_r}),Tr=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};function kr(t){for(var e=[],r=0;r<t.length;r++)if(null!==t[r]){var n=t[r].split(\" \");e.push(n.pop())}return e}Tr.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,c=0;!l&&c<n.length;c++)this.boundPaintVertexBuffers[c]!==n[c]&&(l=!0);var u=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||l||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||u?this.freshBind(e,r,n,i,a,o,s):(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind())},Tr.prototype.freshBind=function(t,e,r,n,i,a,o){var s,l=t.numAttributes,c=this.context,u=c.gl;if(c.extVertexArrayObject)this.vao&&this.destroy(),this.vao=c.extVertexArrayObject.createVertexArrayOES(),c.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=i,this.boundDynamicVertexBuffer=a,this.boundDynamicVertexBuffer2=o;else{s=c.currentNumAttributes||0;for(var h=l;h<s;h++)u.disableVertexAttribArray(h)}e.enableAttributes(u,t);for(var f=0,p=r;f<p.length;f+=1)p[f].enableAttributes(u,t);a&&a.enableAttributes(u,t),o&&o.enableAttributes(u,t),e.bind(),e.setVertexAttribPointers(u,t,i);for(var d=0,m=r;d<m.length;d+=1){var g=m[d];g.bind(),g.setVertexAttribPointers(u,t,i)}a&&(a.bind(),a.setVertexAttribPointers(u,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(u,t,i)),c.currentNumAttributes=l},Tr.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var Ar=function(t,e,r,n,i,a){var o=t.gl;this.program=o.createProgram();for(var s=kr(r.staticAttributes),l=n?n.getBinderAttributes():[],c=s.concat(l),u=r.staticUniforms?kr(r.staticUniforms):[],h=n?n.getBinderUniforms():[],f=[],p=0,d=u.concat(h);p<d.length;p+=1){var m=d[p];f.indexOf(m)<0&&f.push(m)}var g=n?n.defines():[];a&&g.push(\"#define OVERDRAW_INSPECTOR;\");var y=g.concat(Xe.fragmentSource,r.fragmentSource).join(\"\\n\"),v=g.concat(Xe.vertexSource,r.vertexSource).join(\"\\n\"),x=o.createShader(o.FRAGMENT_SHADER);if(o.isContextLost())this.failedToCreate=!0;else{o.shaderSource(x,y),o.compileShader(x),o.attachShader(this.program,x);var _=o.createShader(o.VERTEX_SHADER);if(o.isContextLost())this.failedToCreate=!0;else{o.shaderSource(_,v),o.compileShader(_),o.attachShader(this.program,_),this.attributes={};var b={};this.numAttributes=c.length;for(var w=0;w<this.numAttributes;w++)c[w]&&(o.bindAttribLocation(this.program,w,c[w]),this.attributes[c[w]]=w);o.linkProgram(this.program),o.deleteShader(_),o.deleteShader(x);for(var T=0;T<f.length;T++){var k=f[T];if(k&&!b[k]){var A=o.getUniformLocation(this.program,k);A&&(b[k]=A)}}this.fixedUniforms=i(t,b),this.binderUniforms=n?n.getUniforms(t,b):[]}}};function Mr(t,e,r){var n=1/ge(r,1,e.transform.tileZoom),i=Math.pow(2,r.tileID.overscaledZ),a=r.tileSize*Math.pow(2,e.transform.tileZoom)/i,o=a*(r.tileID.canonical.x+r.tileID.wrap*i),s=a*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}Ar.prototype.draw=function(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m){var g,y=t.gl;if(!this.failedToCreate){for(var v in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[v].set(o[v]);p&&p.setUniforms(t,this.binderUniforms,h,{zoom:f});for(var x=(g={},g[y.LINES]=2,g[y.TRIANGLES]=3,g[y.LINE_STRIP]=1,g)[e],_=0,b=u.get();_<b.length;_+=1){var w=b[_],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new Tr)).bind(t,this,l,p?p.getPaintVertexBuffers():[],c,w.vertexOffset,d,m),y.drawElements(e,w.primitiveLength*x,y.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Sr=function(e,r,n,i){var a=r.style.light,o=a.properties.get(\"position\"),s=[o.x,o.y,o.z],l=t.create$1();\"viewport\"===a.properties.get(\"anchor\")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var c=a.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get(\"intensity\"),u_lightcolor:[c.r,c.g,c.b],u_vertical_gradient:+n,u_opacity:i}},Er=function(e,r,n,i,a,o,s){return t.extend(Sr(e,r,n,i),Mr(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Cr=function(t){return{u_matrix:t}},Lr=function(e,r,n,i){return t.extend(Cr(e),Mr(n,r,i))},Ir=function(t,e){return{u_matrix:t,u_world:e}},Pr=function(e,r,n,i,a){return t.extend(Lr(e,r,n,i),{u_world:a})},zr=function(e,r,n,i){var a,o,s=e.transform;if(\"map\"===i.paint.get(\"circle-pitch-alignment\")){var l=ge(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+(\"map\"===i.paint.get(\"circle-pitch-scale\")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get(\"circle-translate\"),i.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Or=function(t,e,r){var n=ge(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},Dr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},Rr=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Fr=function(t){return{u_matrix:t}},Br=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:ge(e,1,r),u_intensity:n}},Nr=function(e,r,n,i){var a=t.create();t.ortho(a,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:i,u_opacity:r.paint.get(\"heatmap-opacity\")}},jr=function(e,r,n){var i=n.paint.get(\"hillshade-shadow-color\"),a=n.paint.get(\"hillshade-highlight-color\"),o=n.paint.get(\"hillshade-accent-color\"),s=n.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);\"viewport\"===n.paint.get(\"hillshade-illumination-anchor\")&&(s-=e.transform.angle);var l,c,u,h=!e.options.moving;return{u_matrix:e.transform.calculatePosMatrix(r.tileID.toUnwrapped(),h),u_image:0,u_latrange:(l=r.tileID,c=Math.pow(2,l.canonical.z),u=l.canonical.y,[new t.MercatorCoordinate(0,u/c).toLngLat().lat,new t.MercatorCoordinate(0,(u+1)/c).toLngLat().lat]),u_light:[n.paint.get(\"hillshade-exaggeration\"),s],u_shadow:i,u_highlight:a,u_accent:o}},Ur=function(e,r){var n=r.stride,i=t.create();return t.ortho(i,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(i,i,[0,-t.EXTENT,0]),{u_matrix:i,u_image:1,u_dimension:[n,n],u_zoom:e.overscaledZ,u_unpack:r.getUnpackVector()}};var Vr=function(e,r,n){var i=e.transform;return{u_matrix:Wr(e,r,n),u_ratio:1/ge(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},qr=function(e,r,n,i){return t.extend(Vr(e,r,n),{u_image:0,u_image_height:i})},Hr=function(e,r,n,i){var a=e.transform,o=Zr(r,a);return{u_matrix:Wr(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/ge(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Gr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=Zr(r,o),c=\"round\"===n.layout.get(\"line-cap\"),u=s.getDash(i.from,c),h=s.getDash(i.to,c),f=u.width*a.fromScale,p=h.width*a.toScale;return t.extend(Vr(e,r,n),{u_patternscale_a:[l/f,-u.height/2],u_patternscale_b:[l/p,-h.height/2],u_sdfgamma:s.width/(256*Math.min(f,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:u.y,u_tex_y_b:h.y,u_mix:a.t})};function Zr(t,e){return 1/ge(t,1,e.tileZoom)}function Wr(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var Yr=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get(\"raster-brightness-min\"),u_brightness_high:i.paint.get(\"raster-brightness-max\"),u_saturation_factor:(o=i.paint.get(\"raster-saturation\"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get(\"raster-contrast\"),a>0?1/(1-a):1+a),u_spin_weights:Xr(i.paint.get(\"raster-hue-rotate\"))};var a,o};function Xr(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var $r,Jr=function(t,e,r,n,i,a,o,s,l,c){var u=i.transform;return{u_is_size_zoom_constant:+(\"constant\"===t||\"source\"===t),u_is_size_feature_constant:+(\"constant\"===t||\"camera\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:u.cameraToCenterDistance,u_pitch:u.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:u.width/u.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:c,u_texture:0}},Kr=function(e,r,n,i,a,o,s,l,c,u,h){var f=a.transform;return t.extend(Jr(e,r,n,i,a,o,s,l,c,u),{u_gamma_scale:i?Math.cos(f._pitch)*f.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+h})},Qr=function(e,r,n,i,a,o,s,l,c,u){return t.extend(Kr(e,r,n,i,a,o,s,l,!0,c,!0),{u_texsize_icon:u,u_texture_icon:1})},tn=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},en=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,c=Math.pow(2,n.tileID.overscaledZ),u=n.tileSize*Math.pow(2,r.transform.tileZoom)/c,h=u*(n.tileID.canonical.x+n.tileID.wrap*c),f=u*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/ge(n,1,r.transform.tileZoom),u_pixel_coord_upper:[h>>16,f>>16],u_pixel_coord_lower:[65535&h,65535&f]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},rn={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image),u_image_height:new t.Uniform1f(e,r.u_image_height)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function nn(e,r,n,i,a,o,s){for(var l=e.context,c=l.gl,u=e.useProgram(\"collisionBox\"),h=[],f=0,p=0,d=0;d<i.length;d++){var m=i[d],g=r.getTile(m),y=g.getBucket(n);if(y){var v=m.posMatrix;0===a[0]&&0===a[1]||(v=e.translatePosMatrix(m.posMatrix,g,a,o));var x=s?y.textCollisionBox:y.iconCollisionBox,_=y.collisionCircleArray;if(_.length>0){var b=t.create(),w=v;t.mul(b,y.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(b,b,y.placementViewportMatrix),h.push({circleArray:_,circleOffset:p,transform:w,invTransform:b}),p=f+=_.length/4}x&&u.draw(l,c.LINES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Lt.disabled,Or(v,e.transform,g),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&h.length){var T=e.useProgram(\"collisionCircle\"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*f),k._trim();for(var A=0,M=0,S=h;M<S.length;M+=1)for(var E=S[M],C=0;C<E.circleArray.length/4;C++){var L=4*C,I=E.circleArray[L+0],P=E.circleArray[L+1],z=E.circleArray[L+2],O=E.circleArray[L+3];k.emplace(A++,I,P,z,O,0),k.emplace(A++,I,P,z,O,1),k.emplace(A++,I,P,z,O,2),k.emplace(A++,I,P,z,O,3)}(!$r||$r.length<2*f)&&($r=function(e){var r=2*e,n=new t.StructArrayLayout3ui6;n.resize(r),n._trim();for(var i=0;i<r;i++){var a=6*i;n.uint16[a+0]=4*i+0,n.uint16[a+1]=4*i+1,n.uint16[a+2]=4*i+2,n.uint16[a+3]=4*i+2,n.uint16[a+4]=4*i+3,n.uint16[a+5]=4*i+0}return n}(f));for(var D=l.createIndexBuffer($r,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=h;F<B.length;F+=1){var N=B[F],j=Dr(N.transform,N.invTransform,e.transform);T.draw(l,c.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Lt.disabled,j,n.id,R,D,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),D.destroy()}}var an=t.identity(new Float32Array(16));function on(e,r,n,i,a,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,c=-(s.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,i);return new t.Point((l/a+u[0])*o,(c/a+u[1])*o)}function sn(e,r,n,i,a,o,s,l,c,u,h){var f=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,m={};p.clear();for(var g=0;g<f.length;g++){var y=f.get(g),v=e.allowVerticalPlacement&&!y.placedOrientation,x=y.hidden||!y.crossTileID||v?null:i[y.crossTileID];if(x){var _=new t.Point(y.anchorX,y.anchorY),b=re(_,n?l:s),w=ne(o.cameraToCenterDistance,b.signedDistanceFromCamera),T=a.evaluateSizeForFeature(e.textSizeData,u,y)*w/t.ONE_EM;n&&(T*=e.tilePixelRatio/c);for(var k=x.width,A=x.height,M=on(x.anchor,k,A,x.textOffset,x.textBoxScale,T),S=n?re(_.add(M),s).point:b.point.add(r?M.rotate(-o.angle):M),E=e.allowVerticalPlacement&&y.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,C=0;C<y.numGlyphs;C++)t.addDynamicAttributes(p,S,E);h&&y.associatedIconIndex>=0&&(m[y.associatedIconIndex]={shiftedAnchor:S,angle:E})}else fe(y.numGlyphs,p)}if(h){d.clear();for(var L=e.icon.placedSymbolArray,I=0;I<L.length;I++){var P=L.get(I);if(P.hidden)fe(P.numGlyphs,d);else{var z=m[I];if(z)for(var O=0;O<P.numGlyphs;O++)t.addDynamicAttributes(d,z.shiftedAnchor,z.angle);else fe(P.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function ln(t,e,r){return r.iconsInText&&e?\"symbolTextAndIcon\":t?\"symbolSDF\":\"symbolIcon\"}function cn(e,r,n,i,a,o,s,l,c,u,h,f){for(var p=e.context,d=p.gl,m=e.transform,g=\"map\"===l,y=\"map\"===c,v=g&&\"point\"!==n.layout.get(\"symbol-placement\"),x=g&&!y&&!v,_=void 0!==n.layout.get(\"symbol-sort-key\").constantOr(1),b=!1,w=e.depthModeForSublayer(0,Mt.ReadOnly),T=n.layout.get(\"text-variable-anchor\"),k=[],A=0,M=i;A<M.length;A+=1){var S=M[A],E=r.getTile(S),C=E.getBucket(n);if(C){var L=a?C.text:C.icon;if(L&&L.segments.get().length){var I=L.programConfigurations.get(n.id),P=a||C.sdfIcons,z=a?C.textSizeData:C.iconSizeData,O=y||0!==m.pitch,D=e.useProgram(ln(P,a,C),I),R=t.evaluateSizeForZoom(z,m.zoom),F=void 0,B=[0,0],N=void 0,j=void 0,U=null,V=void 0;if(a){if(N=E.glyphAtlasTexture,j=d.LINEAR,F=E.glyphAtlasTexture.size,C.iconsInText){B=E.imageAtlasTexture.size,U=E.imageAtlasTexture;var q=\"composite\"===z.kind||\"camera\"===z.kind;V=O||e.options.rotating||e.options.zooming||q?d.LINEAR:d.NEAREST}}else{var H=1!==n.layout.get(\"icon-size\").constantOr(0)||C.iconsNeedLinear;N=E.imageAtlasTexture,j=P||e.options.rotating||e.options.zooming||H||O?d.LINEAR:d.NEAREST,F=E.imageAtlasTexture.size}var G=ge(E,1,e.transform.zoom),Z=te(S.posMatrix,y,g,e.transform,G),W=ee(S.posMatrix,y,g,e.transform,G),Y=T&&C.hasTextData(),X=\"none\"!==n.layout.get(\"icon-text-fit\")&&Y&&C.hasIconData();v&&ae(C,S.posMatrix,e,a,Z,W,y,u);var $=e.translatePosMatrix(S.posMatrix,E,o,s),J=v||a&&T||X?an:Z,K=e.translatePosMatrix(W,E,o,s,!0),Q=P&&0!==n.paint.get(a?\"text-halo-width\":\"icon-halo-width\").constantOr(1),tt={program:D,buffers:L,uniformValues:P?C.iconsInText?Qr(z.kind,R,x,y,e,$,J,K,F,B):Kr(z.kind,R,x,y,e,$,J,K,a,F,!0):Jr(z.kind,R,x,y,e,$,J,K,a,F),atlasTexture:N,atlasTextureIcon:U,atlasInterpolation:j,atlasInterpolationIcon:V,isSDF:P,hasHalo:Q};if(_&&C.canOverlap){b=!0;for(var et=0,rt=L.segments.get();et<rt.length;et+=1){var nt=rt[et];k.push({segments:new t.SegmentVector([nt]),sortKey:nt.sortKey,state:tt})}}else k.push({segments:L.segments,sortKey:0,state:tt})}}}b&&k.sort((function(t,e){return t.sortKey-e.sortKey}));for(var it=0,at=k;it<at.length;it+=1){var ot=at[it],st=ot.state;if(p.activeTexture.set(d.TEXTURE0),st.atlasTexture.bind(st.atlasInterpolation,d.CLAMP_TO_EDGE),st.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),st.atlasTextureIcon&&st.atlasTextureIcon.bind(st.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),st.isSDF){var lt=st.uniformValues;st.hasHalo&&(lt.u_is_halo=1,un(st.buffers,ot.segments,n,e,st.program,w,h,f,lt)),lt.u_is_halo=0}un(st.buffers,ot.segments,n,e,st.program,w,h,f,st.uniformValues)}}function un(t,e,r,n,i,a,o,s,l){var c=n.context,u=c.gl;i.draw(c,u.TRIANGLES,a,o,s,Lt.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function hn(t,e,r,n,i,a,o){var s,l,c,u,h,f=t.context.gl,p=r.paint.get(\"fill-pattern\"),d=p&&p.constantOr(1),m=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",s=f.LINES):(l=d?\"fillPattern\":\"fill\",s=f.TRIANGLES);for(var g=0,y=n;g<y.length;g+=1){var v=y[g],x=e.getTile(v);if(!d||x.patternsLoaded()){var _=x.getBucket(r);if(_){var b=_.programConfigurations.get(r.id),w=t.useProgram(l,b);d&&(t.context.activeTexture.set(f.TEXTURE0),x.imageAtlasTexture.bind(f.LINEAR,f.CLAMP_TO_EDGE),b.updatePaintBuffers(m));var T=p.constantOr(null);if(T&&x.imageAtlas){var k=x.imageAtlas,A=k.patternPositions[T.to.toString()],M=k.patternPositions[T.from.toString()];A&&M&&b.setConstantPatternPositions(A,M)}var S=t.translatePosMatrix(v.posMatrix,x,r.paint.get(\"fill-translate\"),r.paint.get(\"fill-translate-anchor\"));if(o){u=_.indexBuffer2,h=_.segments2;var E=[f.drawingBufferWidth,f.drawingBufferHeight];c=\"fillOutlinePattern\"===l&&d?Pr(S,t,m,x,E):Ir(S,E)}else u=_.indexBuffer,h=_.segments,c=d?Lr(S,t,m,x):Cr(S);w.draw(t.context,s,i,t.stencilModeForClipping(v),a,Lt.disabled,c,r.id,_.layoutVertexBuffer,u,h,r.paint,t.transform.zoom,b)}}}}function fn(t,e,r,n,i,a,o){for(var s=t.context,l=s.gl,c=r.paint.get(\"fill-extrusion-pattern\"),u=c.constantOr(1),h=r.getCrossfadeParameters(),f=r.paint.get(\"fill-extrusion-opacity\"),p=0,d=n;p<d.length;p+=1){var m=d[p],g=e.getTile(m),y=g.getBucket(r);if(y){var v=y.programConfigurations.get(r.id),x=t.useProgram(u?\"fillExtrusionPattern\":\"fillExtrusion\",v);u&&(t.context.activeTexture.set(l.TEXTURE0),g.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),v.updatePaintBuffers(h));var _=c.constantOr(null);if(_&&g.imageAtlas){var b=g.imageAtlas,w=b.patternPositions[_.to.toString()],T=b.patternPositions[_.from.toString()];w&&T&&v.setConstantPatternPositions(w,T)}var k=t.translatePosMatrix(m.posMatrix,g,r.paint.get(\"fill-extrusion-translate\"),r.paint.get(\"fill-extrusion-translate-anchor\")),A=r.paint.get(\"fill-extrusion-vertical-gradient\"),M=u?Er(k,t,A,f,m,h,g):Sr(k,t,A,f);x.draw(s,s.gl.TRIANGLES,i,a,o,Lt.backCCW,M,r.id,y.layoutVertexBuffer,y.indexBuffer,y.segments,r.paint,t.transform.zoom,v)}}}function pn(t,e,r,n,i,a){var o=t.context,s=o.gl,l=e.fbo;if(l){var c=t.useProgram(\"hillshade\");o.activeTexture.set(s.TEXTURE0),s.bindTexture(s.TEXTURE_2D,l.colorAttachment.get());var u=jr(t,e,r);c.draw(o,s.TRIANGLES,n,i,a,Lt.disabled,u,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}function dn(e,r,n,i,a,o){var s=e.context,l=s.gl,c=r.dem;if(c&&c.data){var u=c.dim,h=c.stride,f=c.getPixels();if(s.activeTexture.set(l.TEXTURE1),s.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(h),r.demTexture){var p=r.demTexture;p.update(f,{premultiply:!1}),p.bind(l.NEAREST,l.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(s,f,l.RGBA,{premultiply:!1}),r.demTexture.bind(l.NEAREST,l.CLAMP_TO_EDGE);s.activeTexture.set(l.TEXTURE0);var d=r.fbo;if(!d){var m=new t.Texture(s,{width:u,height:u,data:null},l.RGBA);m.bind(l.LINEAR,l.CLAMP_TO_EDGE),(d=r.fbo=s.createFramebuffer(u,u,!0)).colorAttachment.set(m.texture)}s.bindFramebuffer.set(d.framebuffer),s.viewport.set([0,0,u,u]),e.useProgram(\"hillshadePrepare\").draw(s,l.TRIANGLES,i,a,o,Lt.disabled,Ur(r.tileID,c),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function mn(e,r,n,i,a){var o=i.paint.get(\"raster-fade-duration\");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,c=r?(s-r.timeAdded)/o:-1,u=n.getSource(),h=a.coveringZoomLevel({tileSize:u.tileSize,roundZoom:u.roundZoom}),f=!r||Math.abs(r.tileID.overscaledZ-h)>Math.abs(e.tileID.overscaledZ-h),p=f&&e.refreshedUponExpiration?1:t.clamp(f?l:1-c,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var gn=new t.Color(1,0,0,1),yn=new t.Color(0,1,0,1),vn=new t.Color(0,0,1,1),xn=new t.Color(1,0,1,1),_n=new t.Color(0,1,1,1);function bn(t){var e=t.transform.padding;wn(t,t.transform.height-(e.top||0),3,gn),wn(t,e.bottom||0,3,yn),Tn(t,e.left||0,3,vn),Tn(t,t.transform.width-(e.right||0),3,xn);var r=t.transform.centerPoint;!function(t,e,r,n){var i=20,a=2;kn(t,e-a/2,r-i/2,a,i,n),kn(t,e-i/2,r-a/2,i,a,n)}(t,r.x,t.transform.height-r.y,_n)}function wn(t,e,r,n){kn(t,0,e+r/2,t.transform.width,r,n)}function Tn(t,e,r,n){kn(t,e-r/2,0,r,t.transform.height,n)}function kn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function An(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram(\"debug\"),l=Mt.disabled,c=Et.disabled,u=e.colorModeForRenderPass(),h=\"$debug\";i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,c,u,Lt.disabled,Rr(o,t.Color.red),h,e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var f=r.getTileByID(n.key).latestRawTileData,p=f&&f.byteLength||0,d=Math.floor(p/1024),m=r.getTile(n).tileSize,g=512/Math.min(m,512)*(n.overscaledZ/e.transform.zoom)*.5,y=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(y+=\" => \"+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext(\"2d\");i.clearRect(0,0,r.width,r.height),i.shadowColor=\"white\",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle=\"white\",i.textBaseline=\"top\",i.font=\"bold 36px Open Sans, sans-serif\",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,y+\" \"+d+\"kb\"),s.draw(i,a.TRIANGLES,l,c,Ct.alphaBlended,Lt.disabled,Rr(o,t.Color.transparent,g),h,e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var Mn={symbol:function(e,r,n,i,a){if(\"translucent\"===e.renderPass){var o=Et.disabled,s=e.colorModeForRenderPass();n.layout.get(\"text-variable-anchor\")&&function(e,r,n,i,a,o,s){for(var l=r.transform,c=\"map\"===a,u=\"map\"===o,h=0,f=e;h<f.length;h+=1){var p=f[h],d=i.getTile(p),m=d.getBucket(n);if(m&&m.text&&m.text.segments.get().length){var g=m.textSizeData,y=t.evaluateSizeForZoom(g,l.zoom),v=ge(d,1,r.transform.zoom),x=te(p.posMatrix,u,c,r.transform,v),_=\"none\"!==n.layout.get(\"icon-text-fit\")&&m.hasIconData();if(y){var b=Math.pow(2,l.zoom-d.tileID.overscaledZ);sn(m,c,u,s,t.symbolSize,l,x,p.posMatrix,b,y,_)}}}}(i,e,n,r,n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),a),0!==n.paint.get(\"icon-opacity\").constantOr(1)&&cn(e,r,n,i,!1,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),n.layout.get(\"icon-rotation-alignment\"),n.layout.get(\"icon-pitch-alignment\"),n.layout.get(\"icon-keep-upright\"),o,s),0!==n.paint.get(\"text-opacity\").constantOr(1)&&cn(e,r,n,i,!0,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),n.layout.get(\"text-keep-upright\"),o,s),r.map.showCollisionBoxes&&(nn(e,r,n,i,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),!0),nn(e,r,n,i,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),!1))}},circle:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"circle-opacity\"),o=n.paint.get(\"circle-stroke-width\"),s=n.paint.get(\"circle-stroke-opacity\"),l=void 0!==n.layout.get(\"circle-sort-key\").constantOr(1);if(0!==a.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var c=e.context,u=c.gl,h=e.depthModeForSublayer(0,Mt.ReadOnly),f=Et.disabled,p=e.colorModeForRenderPass(),d=[],m=0;m<i.length;m++){var g=i[m],y=r.getTile(g),v=y.getBucket(n);if(v){var x=v.programConfigurations.get(n.id),_={programConfiguration:x,program:e.useProgram(\"circle\",x),layoutVertexBuffer:v.layoutVertexBuffer,indexBuffer:v.indexBuffer,uniformValues:zr(e,g,y,n)};if(l)for(var b=0,w=v.segments.get();b<w.length;b+=1){var T=w[b];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:_})}else d.push({segments:v.segments,sortKey:0,state:_})}}l&&d.sort((function(t,e){return t.sortKey-e.sortKey}));for(var k=0,A=d;k<A.length;k+=1){var M=A[k],S=M.state,E=S.programConfiguration,C=S.program,L=S.layoutVertexBuffer,I=S.indexBuffer,P=S.uniformValues,z=M.segments;C.draw(c,u.TRIANGLES,h,f,p,Lt.disabled,P,n.id,L,I,z,n.paint,e.transform.zoom,E)}}}},heatmap:function(e,r,n,i){if(0!==n.paint.get(\"heatmap-opacity\"))if(\"offscreen\"===e.renderPass){var a=e.context,o=a.gl,s=Et.disabled,l=new Ct([o.ONE,o.ONE],t.Color.transparent,[!0,!0,!0,!0]);(function(t,e,r){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var i=r.heatmapFbo;if(i)n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),t.bindFramebuffer.set(i.framebuffer);else{var a=n.createTexture();n.bindTexture(n.TEXTURE_2D,a),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),i=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1),function(t,e,r,n){var i=t.gl,a=t.extRenderToTextureHalfFloat?t.extTextureHalfFloat.HALF_FLOAT_OES:i.UNSIGNED_BYTE;i.texImage2D(i.TEXTURE_2D,0,i.RGBA,e.width/4,e.height/4,0,i.RGBA,a,null),n.colorAttachment.set(r)}(t,e,a,i)}})(a,e,n),a.clear({color:t.Color.transparent});for(var c=0;c<i.length;c++){var u=i[c];if(!r.hasRenderableParent(u)){var h=r.getTile(u),f=h.getBucket(n);if(f){var p=f.programConfigurations.get(n.id),d=e.useProgram(\"heatmap\",p),m=e.transform.zoom;d.draw(a,o.TRIANGLES,Mt.disabled,s,l,Lt.disabled,Br(u.posMatrix,h,m,n.paint.get(\"heatmap-intensity\")),n.id,f.layoutVertexBuffer,f.indexBuffer,f.segments,n.paint,e.transform.zoom,p)}}}a.viewport.set([0,0,e.width,e.height])}else\"translucent\"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,i=n.gl,a=r.heatmapFbo;if(a){n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,a.colorAttachment.get()),n.activeTexture.set(i.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,i.RGBA)),o.bind(i.LINEAR,i.CLAMP_TO_EDGE),e.useProgram(\"heatmapTexture\").draw(n,i.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Lt.disabled,Nr(e,r,0,1),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}}(e,n))},line:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"line-opacity\"),o=n.paint.get(\"line-width\");if(0!==a.constantOr(1)&&0!==o.constantOr(1))for(var s=e.depthModeForSublayer(0,Mt.ReadOnly),l=e.colorModeForRenderPass(),c=n.paint.get(\"line-dasharray\"),u=n.paint.get(\"line-pattern\"),h=u.constantOr(1),f=n.paint.get(\"line-gradient\"),p=n.getCrossfadeParameters(),d=h?\"linePattern\":c?\"lineSDF\":f?\"lineGradient\":\"line\",m=e.context,g=m.gl,y=!0,v=0,x=i;v<x.length;v+=1){var _=x[v],b=r.getTile(_);if(!h||b.patternsLoaded()){var w=b.getBucket(n);if(w){var T=w.programConfigurations.get(n.id),k=e.context.program.get(),A=e.useProgram(d,T),M=y||A.program!==k,S=u.constantOr(null);if(S&&b.imageAtlas){var E=b.imageAtlas,C=E.patternPositions[S.to.toString()],L=E.patternPositions[S.from.toString()];C&&L&&T.setConstantPatternPositions(C,L)}var I=h?Hr(e,b,n,p):c?Gr(e,b,n,c,p):f?qr(e,b,n,w.lineClipsArray.length):Vr(e,b,n);if(h)m.activeTexture.set(g.TEXTURE0),b.imageAtlasTexture.bind(g.LINEAR,g.CLAMP_TO_EDGE),T.updatePaintBuffers(p);else if(c&&(M||e.lineAtlas.dirty))m.activeTexture.set(g.TEXTURE0),e.lineAtlas.bind(m);else if(f){var P=w.gradients[n.id],z=P.texture;if(n.gradientVersion!==P.version){var O=256;if(n.stepInterpolant){var D=r.getSource().maxzoom,R=_.canonical.z===D?Math.ceil(1<<e.transform.maxZoom-_.canonical.z):1,F=w.maxLineLength/t.EXTENT*1024*R;O=t.clamp(t.nextPowerOfTwo(F),256,m.maxTextureSize)}P.gradient=t.renderColorRamp({expression:n.gradientExpression(),evaluationKey:\"lineProgress\",resolution:O,image:P.gradient||void 0,clips:w.lineClipsArray}),P.texture?P.texture.update(P.gradient):P.texture=new t.Texture(m,P.gradient,g.RGBA),P.version=n.gradientVersion,z=P.texture}m.activeTexture.set(g.TEXTURE0),z.bind(n.stepInterpolant?g.NEAREST:g.LINEAR,g.CLAMP_TO_EDGE)}A.draw(m,g.TRIANGLES,s,e.stencilModeForClipping(_),l,Lt.disabled,I,n.id,w.layoutVertexBuffer,w.indexBuffer,w.segments,n.paint,e.transform.zoom,T,w.layoutVertexBuffer2),y=!1}}}}},fill:function(e,r,n,i){var a=n.paint.get(\"fill-color\"),o=n.paint.get(\"fill-opacity\");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get(\"fill-pattern\"),c=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?\"opaque\":\"translucent\";if(e.renderPass===c){var u=e.depthModeForSublayer(1,\"opaque\"===e.renderPass?Mt.ReadWrite:Mt.ReadOnly);hn(e,r,n,i,u,s,!1)}if(\"translucent\"===e.renderPass&&n.paint.get(\"fill-antialias\")){var h=e.depthModeForSublayer(n.getPaintProperty(\"fill-outline-color\")?2:0,Mt.ReadOnly);hn(e,r,n,i,h,s,!0)}}},\"fill-extrusion\":function(t,e,r,n){var i=r.paint.get(\"fill-extrusion-opacity\");if(0!==i&&\"translucent\"===t.renderPass){var a=new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get(\"fill-extrusion-pattern\").constantOr(1))fn(t,e,r,n,a,Et.disabled,Ct.disabled),fn(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();fn(t,e,r,n,a,Et.disabled,o)}}},hillshade:function(t,e,r,n){if(\"offscreen\"===t.renderPass||\"translucent\"===t.renderPass){for(var i=t.context,a=t.depthModeForSublayer(0,Mt.ReadOnly),o=t.colorModeForRenderPass(),s=\"translucent\"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],l=s[0],c=0,u=s[1];c<u.length;c+=1){var h=u[c],f=e.getTile(h);f.needsHillshadePrepare&&\"offscreen\"===t.renderPass?dn(t,f,r,a,Et.disabled,o):\"translucent\"===t.renderPass&&pn(t,f,r,a,l[h.overscaledZ],o)}i.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if(\"translucent\"===t.renderPass&&0!==r.paint.get(\"raster-opacity\")&&n.length)for(var i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram(\"raster\"),l=t.colorModeForRenderPass(),c=o instanceof z?[{},n]:t.stencilConfigForOverlap(n),u=c[0],h=c[1],f=h[h.length-1].overscaledZ,p=!t.options.moving,d=0,m=h;d<m.length;d+=1){var g=m[d],y=t.depthModeForSublayer(g.overscaledZ-f,1===r.paint.get(\"raster-opacity\")?Mt.ReadWrite:Mt.ReadOnly,a.LESS),v=e.getTile(g),x=t.transform.calculatePosMatrix(g.toUnwrapped(),p);v.registerFadeDuration(r.paint.get(\"raster-fade-duration\"));var _=e.findLoadedParent(g,0),b=mn(v,_,e,r,t.transform),w=void 0,T=void 0,k=\"nearest\"===r.paint.get(\"raster-resampling\")?a.NEAREST:a.LINEAR;i.activeTexture.set(a.TEXTURE0),v.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),i.activeTexture.set(a.TEXTURE1),_?(_.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),w=Math.pow(2,_.tileID.overscaledZ-v.tileID.overscaledZ),T=[v.tileID.canonical.x*w%1,v.tileID.canonical.y*w%1]):v.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST);var A=Yr(x,T||[0,0],w||1,b,r);o instanceof z?s.draw(i,a.TRIANGLES,y,Et.disabled,l,Lt.disabled,A,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,y,u[g.overscaledZ],l,Lt.disabled,A,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get(\"background-color\"),i=r.paint.get(\"background-opacity\");if(0!==i){var a=t.context,o=a.gl,s=t.transform,l=s.tileSize,c=r.paint.get(\"background-pattern\");if(!t.isPatternMissing(c)){var u=!c&&1===n.a&&1===i&&t.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(t.renderPass===u){var h=Et.disabled,f=t.depthModeForSublayer(0,\"opaque\"===u?Mt.ReadWrite:Mt.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(c?\"backgroundPattern\":\"background\"),m=s.coveringTiles({tileSize:l});c&&(a.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var g=r.getCrossfadeParameters(),y=0,v=m;y<v.length;y+=1){var x=v[y],_=t.transform.calculatePosMatrix(x.toUnwrapped()),b=c?en(_,i,t,c,{tileID:x,tileSize:l},g):tn(_,i,n);d.draw(a,o.TRIANGLES,f,h,p,Lt.disabled,b,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)An(t,e,r[n])},custom:function(t,e,r){var n=t.context,i=r.implementation;if(\"offscreen\"===t.renderPass){var a=i.prerender;a&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),a.call(i,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if(\"translucent\"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(Et.disabled);var o=\"3d\"===i.renderingMode?new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,Mt.ReadOnly);n.setDepthMode(o),i.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},Sn=function(t,e){this.context=new It(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Pt.maxUnderzooming+Pt.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Ve,this.gpuTimers={}};Sn.prototype.resize=function(e,r){if(this.width=e*t.browser.devicePixelRatio,this.height=r*t.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var n=0,i=this.style._order;n<i.length;n+=1){var a=i[n];this.style._layers[a].resize()}},Sn.prototype.setup=function(){var e=this.context,r=new t.StructArrayLayout2i4;r.emplaceBack(0,0),r.emplaceBack(t.EXTENT,0),r.emplaceBack(0,t.EXTENT),r.emplaceBack(t.EXTENT,t.EXTENT),this.tileExtentBuffer=e.createVertexBuffer(r,Ye.members),this.tileExtentSegments=t.SegmentVector.simpleSegment(0,0,4,2);var n=new t.StructArrayLayout2i4;n.emplaceBack(0,0),n.emplaceBack(t.EXTENT,0),n.emplaceBack(0,t.EXTENT),n.emplaceBack(t.EXTENT,t.EXTENT),this.debugBuffer=e.createVertexBuffer(n,Ye.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var i=new t.StructArrayLayout4i8;i.emplaceBack(0,0,0,0),i.emplaceBack(t.EXTENT,0,t.EXTENT,0),i.emplaceBack(0,t.EXTENT,0,t.EXTENT),i.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(i,P.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var a=new t.StructArrayLayout2i4;a.emplaceBack(0,0),a.emplaceBack(1,0),a.emplaceBack(0,1),a.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(a,Ye.members),this.viewportSegments=t.SegmentVector.simpleSegment(0,0,4,2);var o=new t.StructArrayLayout1ui2;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=e.createIndexBuffer(o);var s=new t.StructArrayLayout3ui6;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=e.createIndexBuffer(s),this.emptyTexture=new t.Texture(e,{width:1,height:1,data:new Uint8Array([0,0,0,0])},e.gl.RGBA);var l=this.context.gl;this.stencilClearMode=new Et({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},Sn.prototype.clearStencil=function(){var e=this.context,r=e.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var n=t.create();t.ortho(n,0,this.width,this.height,0,0,1),t.scale(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(e,r.TRIANGLES,Mt.disabled,this.stencilClearMode,Ct.disabled,Lt.disabled,Fr(n),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},Sn.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(Ct.disabled),r.setDepthMode(Mt.disabled);var i=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var a=0,o=e;a<o.length;a+=1){var s=o[a],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;i.draw(r,n.TRIANGLES,Mt.disabled,new Et({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),Ct.disabled,Lt.disabled,Fr(s.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},Sn.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Et({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},Sn.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Et({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},Sn.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s<a;s++)o[s+i]=new Et({func:r.GEQUAL,mask:255},s+this.nextStencilID,255,r.KEEP,r.KEEP,r.REPLACE);return this.nextStencilID+=a,[o,n]}return[(e={},e[i]=Et.disabled,e),n]},Sn.prototype.colorModeForRenderPass=function(){var e=this.context.gl;if(this._showOverdrawInspector){var r=1/8;return new Ct([e.CONSTANT_COLOR,e.ONE],new t.Color(r,r,r,0),[!0,!0,!0,!0])}return\"opaque\"===this.renderPass?Ct.unblended:Ct.alphaBlended},Sn.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return Mt.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new Mt(r||this.context.gl.LEQUAL,e,[n,n])},Sn.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},Sn.prototype.render=function(e,r){var n=this;this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var i=this.style._order,a=this.style.sourceCaches;for(var o in a){var s=a[o];s.used&&s.prepare(this.context)}var l,c,u={},h={},f={};for(var p in a){var d=a[p];u[p]=d.getVisibleCoordinates(),h[p]=u[p].slice().reverse(),f[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var m=0;m<i.length;m++){var g=i[m];if(this.style._layers[g].is3D()){this.opaquePassCutoff=m;break}}this.renderPass=\"offscreen\";for(var y=0,v=i;y<v.length;y+=1){var x=v[y],_=this.style._layers[x];if(_.hasOffscreenPass()&&!_.isHidden(this.transform.zoom)){var b=h[_.source];(\"custom\"===_.type||b.length)&&this.renderLayer(this,a[_.source],_,b)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?t.Color.black:t.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(e._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass=\"opaque\",this.currentLayer=i.length-1;this.currentLayer>=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=u[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<i.length;this.currentLayer++){var A=this.style._layers[i[this.currentLayer]],M=a[A.source],S=(\"symbol\"===A.type?f:h)[A.source];this._renderTileClippingMasks(A,u[A.source]),this.renderLayer(this,M,A,S)}this.options.showTileBoundaries&&(t.values(this.style._layers).forEach((function(t){t.source&&!t.isHidden(n.transform.zoom)&&(t.source!==(c&&c.id)&&(c=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<c.getSource().maxzoom)&&(l=c))})),l&&Mn.debug(this,l,l.getVisibleCoordinates())),this.options.showPadding&&bn(this),this.context.setDefault()},Sn.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||(\"background\"===r.type||\"custom\"===r.type||n.length)&&(this.id=r.id,this.gpuTimingStart(r),Mn[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},Sn.prototype.gpuTimingStart=function(t){if(this.options.gpuTiming){var e=this.context.extTimerQuery,r=this.gpuTimers[t.id];r||(r=this.gpuTimers[t.id]={calls:0,cpuTime:0,query:e.createQueryEXT()}),r.calls++,e.beginQueryEXT(e.TIME_ELAPSED_EXT,r.query)}},Sn.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},Sn.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},Sn.prototype.queryGpuTimers=function(t){var e={};for(var r in t){var n=t[r],i=this.context.extTimerQuery,a=i.getQueryObjectEXT(n.query,i.QUERY_RESULT_EXT)/1e6;i.deleteQueryEXT(n.query),e[r]=a}return e},Sn.prototype.translatePosMatrix=function(e,r,n,i,a){if(!n[0]&&!n[1])return e;var o=a?\"map\"===i?this.transform.angle:0:\"viewport\"===i?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var c=[a?n[0]:ge(r,n[0],this.transform.zoom),a?n[1]:ge(r,n[1],this.transform.zoom),0],u=new Float32Array(16);return t.translate(u,e,c),u},Sn.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},Sn.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},Sn.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},Sn.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=\"\"+t+(e?e.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\");return this.cache[r]||(this.cache[r]=new Ar(this.context,t,wr[t],e,rn[t],this._showOverdrawInspector)),this.cache[r]},Sn.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},Sn.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},Sn.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},Sn.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var En=function(t,e){this.points=t,this.planes=e};En.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new En(a,o)};var Cn=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};Cn.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a<r.length;a++)n[a]=r[a]?this.min[a]:this.center[a],i[a]=r[a]?this.center[a]:this.max[a];return i[2]=this.max[2],new Cn(n,i)},Cn.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},Cn.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},Cn.prototype.intersects=function(e){for(var r=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],n=!0,i=0;i<e.planes.length;i++){for(var a=e.planes[i],o=0,s=0;s<r.length;s++)o+=t.dot$1(a,r[s])>=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var c=Number.MAX_VALUE,u=-Number.MAX_VALUE,h=0;h<e.points.length;h++){var f=e.points[h][l]-this.min[l];c=Math.min(c,f),u=Math.max(u,f)}if(u<0||c>this.max[l]-this.min[l])return 0}return 1};var Ln=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error(\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\");this.top=t,this.bottom=e,this.left=r,this.right=n};Ln.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},Ln.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),i=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,i)},Ln.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},Ln.prototype.clone=function(){return new Ln(this.top,this.bottom,this.left,this.right)},Ln.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var In=function(e,r,n,i,a){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===a||a,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new Ln,this._posMatrixCache={},this._alignedPosMatrixCache={}},Pn={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};In.prototype.clone=function(){var t=new In(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},Pn.minZoom.get=function(){return this._minZoom},Pn.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},Pn.maxZoom.get=function(){return this._maxZoom},Pn.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},Pn.minPitch.get=function(){return this._minPitch},Pn.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},Pn.maxPitch.get=function(){return this._maxPitch},Pn.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},Pn.renderWorldCopies.get=function(){return this._renderWorldCopies},Pn.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},Pn.worldSize.get=function(){return this.tileSize*this.scale},Pn.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},Pn.size.get=function(){return new t.Point(this.width,this.height)},Pn.bearing.get=function(){return-this.angle/Math.PI*180},Pn.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},Pn.pitch.get=function(){return this._pitch/Math.PI*180},Pn.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},Pn.fov.get=function(){return this._fov/Math.PI*180},Pn.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},Pn.zoom.get=function(){return this._zoom},Pn.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},Pn.center.get=function(){return this._center},Pn.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},Pn.padding.get=function(){return this._edgeInsets.toJSON()},Pn.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},Pn.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},In.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},In.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},In.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},In.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),c=s-1;c<=l+1;c++)0!==c&&r.push(new t.UnwrappedTileID(c,e));return r},In.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&r<e.minzoom)return[];void 0!==e.maxzoom&&r>e.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=En.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var c=function(t){return{aabb:new Cn([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},u=[],h=[],f=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)u.push(c(-d)),u.push(c(d));for(u.push(c(0));u.length>0;){var m=u.pop(),g=m.x,y=m.y,v=m.fullyVisible;if(!v){var x=m.aabb.intersects(s);if(0===x)continue;v=2===x}var _=m.aabb.distanceX(o),b=m.aabb.distanceY(o),w=Math.max(Math.abs(_),Math.abs(b)),T=3+(1<<f-m.zoom)-2;if(m.zoom===f||w>T&&m.zoom>=l)h.push({tileID:new t.OverscaledTileID(m.zoom===f?p:m.zoom,m.wrap,m.zoom,g,y),distanceSq:t.sqrLen([o[0]-.5-g,o[1]-.5-y])});else for(var k=0;k<4;k++){var A=(g<<1)+k%2,M=(y<<1)+(k>>1);u.push({aabb:m.aabb.quadrant(k),zoom:m.zoom+1,x:A,y:M,wrap:m.wrap,fullyVisible:v})}}return h.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},In.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},Pn.unmodified.get=function(){return this._unmodified},In.prototype.zoomScale=function(t){return Math.pow(2,t)},In.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},In.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},In.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},Pn.point.get=function(){return this.project(this.center)},In.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(e),o=new t.MercatorCoordinate(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},In.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},In.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},In.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},In.prototype.coordinateLocation=function(t){return t.toLngLat()},In.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,c=n[1]/a,u=r[2]/i,h=n[2]/a,f=u===h?0:(0-u)/(h-u);return new t.MercatorCoordinate(t.number(o,s,f)/this.worldSize,t.number(l,c,f)/this.worldSize)},In.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},In.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},In.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},In.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},In.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];var a=e.canonical,o=this.worldSize/this.zoomScale(a.z),s=a.x+Math.pow(2,a.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,a.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),i[n]=new Float32Array(l),i[n]},In.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},In.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,c=this.size,u=this._unmodified;if(this.latRange){var h=this.latRange;a=t.mercatorYfromLat(h[1])*this.worldSize,e=(o=t.mercatorYfromLat(h[0])*this.worldSize)-a<c.y?c.y/(o-a):0}if(this.lngRange){var f=this.lngRange;s=t.mercatorXfromLng(f[0])*this.worldSize,r=(l=t.mercatorXfromLng(f[1])*this.worldSize)-s<c.x?c.x/(l-s):0}var p=this.point,d=Math.max(r||0,e||0);if(d)return this.center=this.unproject(new t.Point(r?(l+s)/2:p.x,e?(o+a)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=u,void(this._constraining=!1);if(this.latRange){var m=p.y,g=c.y/2;m-g<a&&(i=a+g),m+g>o&&(i=o-g)}if(this.lngRange){var y=p.x,v=c.x/2;y-v<s&&(n=s+v),y+v>l&&(n=l-v)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=u,this._constraining=!1}},In.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,c=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),u=this.height/50,h=new Float64Array(16);t.perspective(h,this._fov,this.width/this.height,u,c),h[8]=2*-r.x/this.width,h[9]=2*r.y/this.height,t.scale(h,h,[1,-1,1]),t.translate(h,h,[0,0,-this.cameraToCenterDistance]),t.rotateX(h,h,this._pitch),t.rotateZ(h,h,this.angle),t.translate(h,h,[-s,-l,0]),this.mercatorMatrix=t.scale([],h,[this.worldSize,this.worldSize,this.worldSize]),t.scale(h,h,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=h,this.invProjMatrix=t.invert([],this.projMatrix);var f=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),m=Math.sin(this.angle),g=s-Math.round(s)+d*f+m*p,y=l-Math.round(l)+d*p+m*f,v=new Float64Array(h);if(t.translate(v,v,[g>.5?g-1:g,y>.5?y-1:y,0]),this.alignedProjMatrix=v,h=t.create(),t.scale(h,h,[this.width/2,-this.height/2,1]),t.translate(h,h,[1,-1,0]),this.labelPlaneMatrix=h,h=t.create(),t.scale(h,h,[1,-1,1]),t.translate(h,h,[-1,-1,0]),t.scale(h,h,[2/this.width,2/this.height,1]),this.glCoordMatrix=h,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(h=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=h,this._posMatrixCache={},this._alignedPosMatrixCache={}}},In.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},In.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},In.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var c=l[s];n=Math.min(n,c.x),i=Math.min(i,c.y),a=Math.max(a,c.x),o=Math.max(o,c.y)}return[new t.Point(n,i),new t.Point(a,i),new t.Point(a,o),new t.Point(n,o),new t.Point(n,i)]},Object.defineProperties(In.prototype,Pn);var zn=function(e){var r,n,i,a,o;this._hashName=e&&encodeURIComponent(e),t.bindAll([\"_getCurrentHash\",\"_onHashChange\",\"_updateHash\"],this),this._updateHash=(r=this._updateHashUnthrottled.bind(this),n=300,i=!1,a=null,o=function(){a=null,i&&(r(),a=setTimeout(o,n),i=!1)},function(){return i=!0,a||o(),a})};zn.prototype.addTo=function(e){return this._map=e,t.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},zn.prototype.remove=function(){return t.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},zn.prototype.getHashString=function(e){var r=this._map.getCenter(),n=Math.round(100*this._map.getZoom())/100,i=Math.ceil((n*Math.LN2+Math.log(512/360/.5))/Math.LN10),a=Math.pow(10,i),o=Math.round(r.lng*a)/a,s=Math.round(r.lat*a)/a,l=this._map.getBearing(),c=this._map.getPitch(),u=\"\";if(u+=e?\"/\"+o+\"/\"+s+\"/\"+n:n+\"/\"+s+\"/\"+o,(l||c)&&(u+=\"/\"+Math.round(10*l)/10),c&&(u+=\"/\"+Math.round(c)),this._hashName){var h=this._hashName,f=!1,p=t.window.location.hash.slice(1).split(\"&\").map((function(t){var e=t.split(\"=\")[0];return e===h?(f=!0,e+\"=\"+u):t})).filter((function(t){return t}));return f||p.push(h+\"=\"+u),\"#\"+p.join(\"&\")}return\"#\"+u},zn.prototype._getCurrentHash=function(){var e,r=this,n=t.window.location.hash.replace(\"#\",\"\");return this._hashName?(n.split(\"&\").map((function(t){return t.split(\"=\")})).forEach((function(t){t[0]===r._hashName&&(e=t)})),(e&&e[1]||\"\").split(\"/\")):n.split(\"/\")},zn.prototype._onHashChange=function(){var t=this._getCurrentHash();if(t.length>=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},zn.prototype._updateHashUnthrottled=function(){var e=t.window.location.href.replace(/(#.+)?$/,this.getHashString());try{t.window.history.replaceState(t.window.history.state,null,e)}catch(t){}};var On={linearity:.3,easing:t.bezier(0,0,.3,1)},Dn=t.extend({deceleration:2500,maxSpeed:1400},On),Rn=t.extend({deceleration:20,maxSpeed:1400},On),Fn=t.extend({deceleration:1e3,maxSpeed:360},On),Bn=t.extend({deceleration:1e3,maxSpeed:90},On),Nn=function(t){this._map=t,this.clear()};function jn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function Un(e,r,n){var i=n.maxSpeed,a=n.linearity,o=n.deceleration,s=t.clamp(e*a/(r/1e3),-i,i),l=Math.abs(s)/(o*a);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}Nn.prototype.clear=function(){this._inertiaBuffer=[]},Nn.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},Nn.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},Nn.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n<i.length;n+=1){var a=i[n].settings;r.zoom+=a.zoomDelta||0,r.bearing+=a.bearingDelta||0,r.pitch+=a.pitchDelta||0,a.panDelta&&r.pan._add(a.panDelta),a.around&&(r.around=a.around),a.pinchAround&&(r.pinchAround=a.pinchAround)}var o=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,s={};if(r.pan.mag()){var l=Un(r.pan.mag(),o,t.extend({},Dn,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,jn(s,l)}if(r.zoom){var c=Un(r.zoom,o,Rn);s.zoom=this._map.transform.zoom+c.amount,jn(s,c)}if(r.bearing){var u=Un(r.bearing,o,Fn);s.bearing=this._map.transform.bearing+t.clamp(u.amount,-179,179),jn(s,u)}if(r.pitch){var h=Un(r.pitch,o,Bn);s.pitch=this._map.transform.pitch+h.amount,jn(s,h)}if(s.zoom||s.bearing){var f=void 0===r.pinchAround?r.around:r.pinchAround;s.around=f?this._map.unproject(f):this._map.getCenter()}return this.clear(),t.extend(s,{noMoveStart:!0})}};var Vn=function(e){function n(n,i,a,o){void 0===o&&(o={});var s=r.mousePos(i.getCanvasContainer(),a),l=i.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:a},o)),this._defaultPrevented=!1,this.target=i}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),qn=function(e){function n(n,i,a){var o=\"touchend\"===n?a.changedTouches:a.touches,s=r.touchPos(i.getCanvasContainer(),o),l=s.map((function(t){return i.unproject(t)})),c=s.reduce((function(t,e,r,n){return t.add(e.div(n.length))}),new t.Point(0,0)),u=i.unproject(c);e.call(this,n,{points:s,point:c,lngLats:l,lngLat:u,originalEvent:a}),this._defaultPrevented=!1}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Hn=function(t){function e(e,r,n){t.call(this,e,{originalEvent:n}),this._defaultPrevented=!1}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={defaultPrevented:{configurable:!0}};return e.prototype.preventDefault=function(){this._defaultPrevented=!0},r.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(e.prototype,r),e}(t.Event),Gn=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};Gn.prototype.reset=function(){delete this._mousedownPos},Gn.prototype.wheel=function(t){return this._firePreventable(new Hn(t.type,this._map,t))},Gn.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new Vn(t.type,this._map,t))},Gn.prototype.mouseup=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.dblclick=function(t){return this._firePreventable(new Vn(t.type,this._map,t))},Gn.prototype.mouseover=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.mouseout=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.touchstart=function(t){return this._firePreventable(new qn(t.type,this._map,t))},Gn.prototype.touchmove=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype.touchend=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype.touchcancel=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Gn.prototype.isEnabled=function(){return!0},Gn.prototype.isActive=function(){return!1},Gn.prototype.enable=function(){},Gn.prototype.disable=function(){};var Zn=function(t){this._map=t};Zn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},Zn.prototype.mousemove=function(t){this._map.fire(new Vn(t.type,this._map,t))},Zn.prototype.mousedown=function(){this._delayContextMenu=!0},Zn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Vn(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},Zn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Vn(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()},Zn.prototype.isEnabled=function(){return!0},Zn.prototype.isActive=function(){return!1},Zn.prototype.enable=function(){},Zn.prototype.disable=function(){};var Wn=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Yn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Wn.prototype.isEnabled=function(){return!!this._enabled},Wn.prototype.isActive=function(){return!!this._active},Wn.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Wn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Wn.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Wn.prototype.mousemoveWindow=function(t,e){if(this._active){var n=e;if(!(this._lastPos.equals(n)||!this._box&&n.dist(this._startPos)<this._clickTolerance)){var i=this._startPos;this._lastPos=n,this._box||(this._box=r.create(\"div\",\"mapboxgl-boxzoom\",this._container),this._container.classList.add(\"mapboxgl-crosshair\"),this._fireEvent(\"boxzoomstart\",t));var a=Math.min(i.x,n.x),o=Math.max(i.x,n.x),s=Math.min(i.y,n.y),l=Math.max(i.y,n.y);r.setTransform(this._box,\"translate(\"+a+\"px,\"+s+\"px)\"),this._box.style.width=o-a+\"px\",this._box.style.height=l-s+\"px\"}}},Wn.prototype.mouseupWindow=function(e,n){var i=this;if(this._active&&0===e.button){var a=this._startPos,o=n;if(this.reset(),r.suppressClick(),a.x!==o.x||a.y!==o.y)return this._map.fire(new t.Event(\"boxzoomend\",{originalEvent:e})),{cameraAnimation:function(t){return t.fitScreenCoordinates(a,o,i._map.getBearing(),{linear:!0})}};this._fireEvent(\"boxzoomcancel\",e)}},Wn.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent(\"boxzoomcancel\",t))},Wn.prototype.reset=function(){this._active=!1,this._container.classList.remove(\"mapboxgl-crosshair\"),this._box&&(r.remove(this._box),this._box=null),r.enableDrag(),delete this._startPos,delete this._lastPos},Wn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var Xn=function(t){this.reset(),this.numTouches=t.numTouches};Xn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},Xn.prototype.touchstart=function(e,r,n){(this.centroid||n.length>this.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n<i.length;n+=1){var a=i[n];r._add(a)}return r.div(e.length)}(r),this.touches=Yn(n,r)))},Xn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=Yn(r,e);for(var i in this.touches){var a=this.touches[i],o=n[i];(!o||o.dist(a)>30)&&(this.aborted=!0)}}},Xn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var $n=function(t){this.singleTap=new Xn(t),this.numTaps=t.numTaps,this.reset()};$n.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},$n.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},$n.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},$n.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Jn=function(){this._zoomIn=new $n({numTouches:1,numTaps:2}),this._zoomOut=new $n({numTouches:2,numTaps:1}),this.reset()};Jn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Jn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Jn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Jn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Jn.prototype.touchcancel=function(){this.reset()},Jn.prototype.enable=function(){this._enabled=!0},Jn.prototype.disable=function(){this._enabled=!1,this.reset()},Jn.prototype.isEnabled=function(){return this._enabled},Jn.prototype.isActive=function(){return this._active};var Kn={};Kn[0]=1,Kn[2]=2;var Qn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Qn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Qn.prototype._correctButton=function(t,e){return!1},Qn.prototype._move=function(t,e){return{}},Qn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Qn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r)if(t.preventDefault(),function(t,e){var r=Kn[e];return void 0===t.buttons||(t.buttons&r)!==r}(t,this._eventButton))this.reset();else if(this._moved||!(e.dist(r)<this._clickTolerance))return this._moved=!0,this._lastPoint=e,this._move(r,e)},Qn.prototype.mouseupWindow=function(t){this._lastPoint&&r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},Qn.prototype.enable=function(){this._enabled=!0},Qn.prototype.disable=function(){this._enabled=!1,this.reset()},Qn.prototype.isEnabled=function(){return this._enabled},Qn.prototype.isActive=function(){return this._active};var ti=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.mousedown=function(e,r){t.prototype.mousedown.call(this,e,r),this._lastPoint&&(this._active=!0)},e.prototype._correctButton=function(t,e){return 0===e&&!t.ctrlKey},e.prototype._move=function(t,e){return{around:e,panDelta:e.sub(t)}},e}(Qn),ei=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=.8*(e.x-t.x);if(r)return this._active=!0,{bearingDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Qn),ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=-.5*(e.y-t.y);if(r)return this._active=!0,{pitchDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Qn),ni=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};ni.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},ni.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},ni.prototype.touchmove=function(t,e,r){if(this._active&&!(r.length<this._minTouches))return t.preventDefault(),this._calculateTransform(t,e,r)},ni.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},ni.prototype.touchcancel=function(){this.reset()},ni.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var i=Yn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var c=i[l],u=this._touches[l];u&&(a._add(c),o._add(c.sub(u)),s++,i[l]=c)}if(this._touches=i,!(s<this._minTouches)&&o.mag()){var h=o.div(s);if(this._sum._add(h),!(this._sum.mag()<this._clickTolerance))return{around:a.div(s),panDelta:h}}},ni.prototype.enable=function(){this._enabled=!0},ni.prototype.disable=function(){this._enabled=!1,this.reset()},ni.prototype.isEnabled=function(){return this._enabled},ni.prototype.isActive=function(){return this._active};var ii=function(){this.reset()};function ai(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}ii.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},ii.prototype._start=function(t){},ii.prototype._move=function(t,e,r){return{}},ii.prototype.touchstart=function(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]))},ii.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,i=n[0],a=n[1],o=ai(r,e,i),s=ai(r,e,a);if(o&&s){var l=this._aroundCenter?null:o.add(s).div(2);return this._move([o,s],l,t)}}},ii.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var i=this._firstTwoTouches,a=i[0],o=i[1],s=ai(n,e,a),l=ai(n,e,o);s&&l||(this._active&&r.suppressClick(),this.reset())}},ii.prototype.touchcancel=function(){this.reset()},ii.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around},ii.prototype.disable=function(){this._enabled=!1,this.reset()},ii.prototype.isEnabled=function(){return this._enabled},ii.prototype.isActive=function(){return this._active};function oi(t,e){return Math.log(t/e)/Math.LN2}var si=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._distance,delete this._startDistance},e.prototype._start=function(t){this._startDistance=this._distance=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs(oi(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:oi(this._distance,r),pinchAround:e}},e}(ii);function li(t,e){return 180*t.angleWith(e)/Math.PI}var ci=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},e.prototype._start=function(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:li(this._vector,r),pinchAround:e}},e.prototype._isBelowThreshold=function(t){this._minDiameter=Math.min(this._minDiameter,t.mag());var e=25/(Math.PI*this._minDiameter)*360,r=li(t,this._startVector);return Math.abs(r)<e},e}(ii);function ui(t){return Math.abs(t.y)>Math.abs(t.x)}var hi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,ui(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid)return this._lastPoints=t,this._active=!0,{pitchDelta:(n.y+i.y)/2*-.5}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return ui(t)&&ui(e)&&a}},e}(ii),fi={panStep:100,bearingStep:15,pitchStep:10},pi=function(){var t=fi;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep,this._rotationDisabled=!1};function di(t){return t*(2-t)}pi.prototype.reset=function(){this._active=!1},pi.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return this._rotationDisabled&&(n=0,i=0),{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:\"keyboardHandler\",easing:di,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},pi.prototype.enable=function(){this._enabled=!0},pi.prototype.disable=function(){this._enabled=!1,this.reset()},pi.prototype.isEnabled=function(){return this._enabled},pi.prototype.isActive=function(){return this._active},pi.prototype.disableRotation=function(){this._rotationDisabled=!0},pi.prototype.enableRotation=function(){this._rotationDisabled=!1};var mi=4.000244140625,gi=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=.0022222222222222222,t.bindAll([\"_onTimeout\"],this)};gi.prototype.setZoomRate=function(t){this._defaultZoomRate=t},gi.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},gi.prototype.isEnabled=function(){return!!this._enabled},gi.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},gi.prototype.isZooming=function(){return!!this._zooming},gi.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},gi.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},gi.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%mi==0?this._type=\"wheel\":0!==r&&Math.abs(r)<4?this._type=\"trackpad\":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},gi.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},gi.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},gi.prototype.renderFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n=\"wheel\"===this._type&&Math.abs(this._delta)>mi?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a=\"number\"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),\"wheel\"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s=\"number\"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,c=this._easing,u=!1;if(\"wheel\"===this._type&&l&&c){var h=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),f=c(h);o=t.number(l,s,f),h<1?this._frameId||(this._frameId=!0):u=!0}else o=s,u=!0;return this._active=!0,u&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!u,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},gi.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},gi.prototype.reset=function(){this._active=!1};var yi=function(t,e){this._clickZoom=t,this._tapZoom=e};yi.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},yi.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},yi.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},yi.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var vi=function(){this.reset()};vi.prototype.reset=function(){this._active=!1},vi.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},vi.prototype.enable=function(){this._enabled=!0},vi.prototype.disable=function(){this._enabled=!1,this.reset()},vi.prototype.isEnabled=function(){return this._enabled},vi.prototype.isActive=function(){return this._active};var xi=function(){this._tap=new $n({numTouches:1,numTaps:1}),this.reset()};xi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},xi.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},xi.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},xi.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},xi.prototype.touchcancel=function(){this.reset()},xi.prototype.enable=function(){this._enabled=!0},xi.prototype.disable=function(){this._enabled=!1,this.reset()},xi.prototype.isEnabled=function(){return this._enabled},xi.prototype.isActive=function(){return this._active};var _i=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};_i.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},_i.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},_i.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},_i.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var bi=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};bi.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},bi.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},bi.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},bi.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var wi=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};wi.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add(\"mapboxgl-touch-zoom-rotate\")},wi.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},wi.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},wi.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},wi.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},wi.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var Ti=function(t){return t.zoom||t.drag||t.pitch||t.rotate},ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function Ai(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var Mi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Nn(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll([\"handleEvent\",\"handleWindowEvent\"],this);var i=this._el;this._listeners=[[i,\"touchstart\",{passive:!0}],[i,\"touchmove\",{passive:!1}],[i,\"touchend\",void 0],[i,\"touchcancel\",void 0],[i,\"mousedown\",void 0],[i,\"mousemove\",void 0],[i,\"mouseup\",void 0],[t.window.document,\"mousemove\",{capture:!0}],[t.window.document,\"mouseup\",void 0],[i,\"mouseover\",void 0],[i,\"mouseout\",void 0],[i,\"dblclick\",void 0],[i,\"click\",void 0],[i,\"keydown\",{capture:!1}],[i,\"keyup\",void 0],[i,\"wheel\",{passive:!1}],[i,\"contextmenu\",void 0],[t.window,\"blur\",void 0]];for(var a=0,o=this._listeners;a<o.length;a+=1){var s=o[a],l=s[0],c=s[1],u=s[2];r.addEventListener(l,c,l===t.window.document?this.handleWindowEvent:this.handleEvent,u)}};Mi.prototype.destroy=function(){for(var e=0,n=this._listeners;e<n.length;e+=1){var i=n[e],a=i[0],o=i[1],s=i[2];r.removeEventListener(a,o,a===t.window.document?this.handleWindowEvent:this.handleEvent,s)}},Mi.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add(\"mapEvent\",new Gn(e,t));var n=e.boxZoom=new Wn(e,t);this._add(\"boxZoom\",n);var i=new Jn,a=new vi;e.doubleClickZoom=new yi(a,i),this._add(\"tapZoom\",i),this._add(\"clickZoom\",a);var o=new xi;this._add(\"tapDragZoom\",o);var s=e.touchPitch=new hi;this._add(\"touchPitch\",s);var l=new ei(t),c=new ri(t);e.dragRotate=new bi(t,l,c),this._add(\"mouseRotate\",l,[\"mousePitch\"]),this._add(\"mousePitch\",c,[\"mouseRotate\"]);var u=new ti(t),h=new ni(t);e.dragPan=new _i(r,u,h),this._add(\"mousePan\",u),this._add(\"touchPan\",h,[\"touchZoom\",\"touchRotate\"]);var f=new ci,p=new si;e.touchZoomRotate=new wi(r,p,f,o),this._add(\"touchRotate\",f,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",p,[\"touchPan\",\"touchRotate\"]);var d=e.scrollZoom=new gi(e,this);this._add(\"scrollZoom\",d,[\"mousePan\"]);var m=e.keyboard=new pi;this._add(\"keyboard\",m),this._add(\"blockableMapEvent\",new Zn(e));for(var g=0,y=[\"boxZoom\",\"doubleClickZoom\",\"tapDragZoom\",\"touchPitch\",\"dragRotate\",\"dragPan\",\"touchZoomRotate\",\"scrollZoom\",\"keyboard\"];g<y.length;g+=1){var v=y[g];t.interactive&&t[v]&&e[v].enable(t[v])}},Mi.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},Mi.prototype.stop=function(t){if(!this._updatingCamera){for(var e=0,r=this._handlers;e<r.length;e+=1)r[e].handler.reset();this._inertia.clear(),this._fireEvents({},{},t),this._changes=[]}},Mi.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1)if(e[t].handler.isActive())return!0;return!1},Mi.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},Mi.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},Mi.prototype.isMoving=function(){return Boolean(Ti(this._eventsInProgress))||this.isZooming()},Mi.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},Mi.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+\"Window\")},Mi.prototype._getMapTouches=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=i.target;this._el.contains(a)&&e.push(i)}return e},Mi.prototype.handleEvent=function(t,e){if(\"blur\"!==t.type){this._updatingCamera=!0;for(var n=\"renderFrame\"===t.type?void 0:t,i={needsRenderFrame:!1},a={},o={},s=t.touches?this._getMapTouches(t.touches):void 0,l=s?r.touchPos(this._el,s):r.mousePos(this._el,t),c=0,u=this._handlers;c<u.length;c+=1){var h=u[c],f=h.handlerName,p=h.handler,d=h.allowed;if(p.isEnabled()){var m=void 0;this._blockedByActive(o,d,f)?p.reset():p[e||t.type]&&(m=p[e||t.type](t,l,s),this.mergeHandlerResult(i,a,m,f,n),m&&m.needsRenderFrame&&this._triggerRenderFrame()),(m||p.isActive())&&(o[f]=p)}}var g={};for(var y in this._previousActiveHandlers)o[y]||(g[y]=n);this._previousActiveHandlers=o,(Object.keys(g).length||Ai(i))&&(this._changes.push([i,a,g]),this._triggerRenderFrame()),(Object.keys(o).length||Ai(i))&&this._map._stop(!0),this._updatingCamera=!1;var v=i.cameraAnimation;v&&(this._inertia.clear(),this._fireEvents({},{},!0),this._changes=[],v(this._map))}else this.stop(!0)},Mi.prototype.mergeHandlerResult=function(e,r,n,i,a){if(n){t.extend(e,n);var o={handlerName:i,originalEvent:n.originalEvent||a};void 0!==n.zoomDelta&&(r.zoom=o),void 0!==n.panDelta&&(r.drag=o),void 0!==n.pitchDelta&&(r.pitch=o),void 0!==n.bearingDelta&&(r.rotate=o)}},Mi.prototype._applyChanges=function(){for(var e={},r={},n={},i=0,a=this._changes;i<a.length;i+=1){var o=a[i],s=o[0],l=o[1],c=o[2];s.panDelta&&(e.panDelta=(e.panDelta||new t.Point(0,0))._add(s.panDelta)),s.zoomDelta&&(e.zoomDelta=(e.zoomDelta||0)+s.zoomDelta),s.bearingDelta&&(e.bearingDelta=(e.bearingDelta||0)+s.bearingDelta),s.pitchDelta&&(e.pitchDelta=(e.pitchDelta||0)+s.pitchDelta),void 0!==s.around&&(e.around=s.around),void 0!==s.pinchAround&&(e.pinchAround=s.pinchAround),s.noInertia&&(e.noInertia=s.noInertia),t.extend(r,l),t.extend(n,c)}this._updateMapTransform(e,r,n),this._changes=[]},Mi.prototype._updateMapTransform=function(t,e,r){var n=this._map,i=n.transform;if(!Ai(t))return this._fireEvents(e,r,!0);var a=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,c=t.around,u=t.pinchAround;void 0!==u&&(c=u),n._stop(!0),c=c||n.transform.centerPoint;var h=i.pointLocation(a?c.sub(a):c);s&&(i.bearing+=s),l&&(i.pitch+=l),o&&(i.zoom+=o),i.setLocationAtPoint(h,c),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r,!0)},Mi.prototype._fireEvents=function(e,r,n){var i=this,a=Ti(this._eventsInProgress),o=Ti(e),s={};for(var l in e){var c=e[l].originalEvent;this._eventsInProgress[l]||(s[l+\"start\"]=c),this._eventsInProgress[l]=e[l]}for(var u in!a&&o&&this._fireEvent(\"movestart\",o.originalEvent),s)this._fireEvent(u,s[u]);for(var h in o&&this._fireEvent(\"move\",o.originalEvent),e){var f=e[h].originalEvent;this._fireEvent(h,f)}var p,d={};for(var m in this._eventsInProgress){var g=this._eventsInProgress[m],y=g.handlerName,v=g.originalEvent;this._handlersById[y].isActive()||(delete this._eventsInProgress[m],p=r[y]||v,d[m+\"end\"]=p)}for(var x in d)this._fireEvent(x,d[x]);var _=Ti(this._eventsInProgress);if(n&&(a||o)&&!_){this._updatingCamera=!0;var b=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),w=function(t){return 0!==t&&-i._bearingSnap<t&&t<i._bearingSnap};b?(w(b.bearing||this._map.getBearing())&&(b.bearing=0),this._map.easeTo(b,{originalEvent:p})):(this._map.fire(new t.Event(\"moveend\",{originalEvent:p})),w(this._map.getBearing())&&this._map.resetNorth()),this._updatingCamera=!1}},Mi.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},Mi.prototype._requestFrame=function(){var t=this;return this._map.triggerRepaint(),this._map._renderTaskQueue.add((function(e){delete t._frameId,t.handleEvent(new ki(\"renderFrame\",{timeStamp:e})),t._applyChanges()}))},Mi.prototype._triggerRenderFrame=function(){void 0===this._frameId&&(this._frameId=this._requestFrame())};var Si=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll([\"_renderFrameCallback\"],this)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.getPadding=function(){return this.transform.padding},r.prototype.setPadding=function(t,e){return this.jumpTo({padding:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){e=t.LngLatBounds.convert(e);var n=r&&r.bearing||0;return this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),n,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,i){var a={top:0,bottom:0,right:0,left:0};if(\"number\"==typeof(i=t.extend({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){var o=i.padding;i.padding={top:o,bottom:o,right:o,left:o}}i.padding=t.extend(a,i.padding);var s=this.transform,l=s.padding,c=s.project(t.LngLat.convert(e)),u=s.project(t.LngLat.convert(r)),h=c.rotate(-n*Math.PI/180),f=u.rotate(-n*Math.PI/180),p=new t.Point(Math.max(h.x,f.x),Math.max(h.y,f.y)),d=new t.Point(Math.min(h.x,f.x),Math.min(h.y,f.y)),m=p.sub(d),g=(s.width-(l.left+l.right+i.padding.left+i.padding.right))/m.x,y=(s.height-(l.top+l.bottom+i.padding.top+i.padding.bottom))/m.y;if(!(y<0||g<0)){var v=Math.min(s.scaleZoom(s.scale*Math.min(g,y)),i.maxZoom),x=\"number\"==typeof i.offset.x?new t.Point(i.offset.x,i.offset.y):t.Point.convert(i.offset),_=(i.padding.left-i.padding.right)/2,b=(i.padding.top-i.padding.bottom)/2,w=new t.Point(_,b).rotate(n*Math.PI/180),T=x.add(w).mult(s.scale/s.zoomScale(v));return{center:s.unproject(c.add(u).div(2).sub(T)),zoom:v,bearing:n}}t.warnOnce(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,i,a){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,i),i,a)},r.prototype._fitInternal=function(e,r,n){return e?(delete(r=t.extend(e,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,i=!1,a=!1,o=!1;return\"zoom\"in e&&n.zoom!==+e.zoom&&(i=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),\"bearing\"in e&&n.bearing!==+e.bearing&&(a=!0,n.bearing=+e.bearing),\"pitch\"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),null==e.padding||n.isPaddingEqual(e.padding)||(n.padding=e.padding),this.fire(new t.Event(\"movestart\",r)).fire(new t.Event(\"move\",r)),i&&this.fire(new t.Event(\"zoomstart\",r)).fire(new t.Event(\"zoom\",r)).fire(new t.Event(\"zoomend\",r)),a&&this.fire(new t.Event(\"rotatestart\",r)).fire(new t.Event(\"rotate\",r)).fire(new t.Event(\"rotateend\",r)),o&&this.fire(new t.Event(\"pitchstart\",r)).fire(new t.Event(\"pitch\",r)).fire(new t.Event(\"pitchend\",r)),this.fire(new t.Event(\"moveend\",r))},r.prototype.easeTo=function(e,r){var n=this;this._stop(!1,e.easeId),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||!e.essential&&t.browser.prefersReducedMotion)&&(e.duration=0);var i=this.transform,a=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=this.getPadding(),c=\"zoom\"in e?+e.zoom:a,u=\"bearing\"in e?this._normalizeBearing(e.bearing,o):o,h=\"pitch\"in e?+e.pitch:s,f=\"padding\"in e?e.padding:i.padding,p=t.Point.convert(e.offset),d=i.centerPoint.add(p),m=i.pointLocation(d),g=t.LngLat.convert(e.center||m);this._normalizeCenter(g);var y,v,x=i.project(m),_=i.project(g).sub(x),b=i.zoomScale(c-a);e.around&&(y=t.LngLat.convert(e.around),v=i.locationPoint(y));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||c!==a,this._rotating=this._rotating||o!==u,this._pitching=this._pitching||h!==s,this._padding=!i.isPaddingEqual(f),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),this._ease((function(e){if(n._zooming&&(i.zoom=t.number(a,c,e)),n._rotating&&(i.bearing=t.number(o,u,e)),n._pitching&&(i.pitch=t.number(s,h,e)),n._padding&&(i.interpolatePadding(l,f,e),d=i.centerPoint.add(p)),y)i.setLocationAtPoint(y,v);else{var m=i.zoomScale(i.zoom-a),g=c>a?Math.min(2,b):Math.max(.5,b),w=Math.pow(g,1-e),T=i.unproject(x.add(_.mult(e*w)).mult(m));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event(\"movestart\",e)),this._zooming&&!n.zooming&&this.fire(new t.Event(\"zoomstart\",e)),this._rotating&&!n.rotating&&this.fire(new t.Event(\"rotatestart\",e)),this._pitching&&!n.pitching&&this.fire(new t.Event(\"pitchstart\",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event(\"move\",e)),this._zooming&&this.fire(new t.Event(\"zoom\",e)),this._rotating&&this.fire(new t.Event(\"rotate\",e)),this._pitching&&this.fire(new t.Event(\"pitch\",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event(\"zoomend\",e)),i&&this.fire(new t.Event(\"rotateend\",e)),a&&this.fire(new t.Event(\"pitchend\",e)),this.fire(new t.Event(\"moveend\",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),c=this.getPadding(),u=\"zoom\"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,h=\"bearing\"in e?this._normalizeBearing(e.bearing,s):s,f=\"pitch\"in e?+e.pitch:l,p=\"padding\"in e?e.padding:a.padding,d=a.zoomScale(u-o),m=t.Point.convert(e.offset),g=a.centerPoint.add(m),y=a.pointLocation(g),v=t.LngLat.convert(e.center||y);this._normalizeCenter(v);var x=a.project(y),_=a.project(v).sub(x),b=e.curve,w=Math.max(a.width,a.height),T=w/d,k=_.mag();if(\"minZoom\"in e){var A=t.clamp(Math.min(e.minZoom,o,u),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);b=Math.sqrt(M/k*2)}var S=b*b;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function C(t){return(Math.exp(t)-Math.exp(-t))/2}function L(t){return(Math.exp(t)+Math.exp(-t))/2}var I=E(0),P=function(t){return L(I)/L(I+b*t)},z=function(t){return w*((L(I)*(C(e=I+b*t)/L(e))-C(I))/S)/k;var e},O=(E(1)-I)/b;if(Math.abs(k)<1e-6||!isFinite(O)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var D=T<w?-1:1;O=Math.abs(Math.log(T/w))/b,z=function(){return 0},P=function(t){return Math.exp(D*b*t)}}if(\"duration\"in e)e.duration=+e.duration;else{var R=\"screenSpeed\"in e?+e.screenSpeed/b:+e.speed;e.duration=1e3*O/R}return e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==h,this._pitching=f!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*O,d=1/P(i);a.zoom=1===e?u:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,h,e)),n._pitching&&(a.pitch=t.number(l,f,e)),n._padding&&(a.interpolatePadding(c,p,e),g=a.centerPoint.add(m));var y=1===e?v:a.unproject(x.add(_.mult(z(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?y.wrap():y,g),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop(!1)}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)<n&&(e-=360),Math.abs(e+360-r)<n&&(e+=360),e},r.prototype._normalizeCenter=function(t){var e=this.transform;if(e.renderWorldCopies&&!e.lngRange){var r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}},r}(t.Evented),Ei=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_toggleAttribution\",\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};Ei.prototype.getDefaultPosition=function(){return\"bottom-right\"},Ei.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-attrib\"),this._compactButton=r.create(\"button\",\"mapboxgl-ctrl-attrib-button\",this._container),this._compactButton.addEventListener(\"click\",this._toggleAttribution),this._setElementTitle(this._compactButton,\"ToggleAttribution\"),this._innerContainer=r.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),this._innerContainer.setAttribute(\"role\",\"list\"),e&&this._container.classList.add(\"mapboxgl-compact\"),this._updateAttributions(),this._updateEditLink(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"moveend\",this._updateEditLink),void 0===e&&(this._map.on(\"resize\",this._updateCompact),this._updateCompact()),this._container},Ei.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"moveend\",this._updateEditLink),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._attribHTML=void 0},Ei.prototype._setElementTitle=function(t,e){var r=this._map._getUIString(\"AttributionControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)},Ei.prototype._toggleAttribution=function(){this._container.classList.contains(\"mapboxgl-compact-show\")?(this._container.classList.remove(\"mapboxgl-compact-show\"),this._compactButton.setAttribute(\"aria-pressed\",\"false\")):(this._container.classList.add(\"mapboxgl-compact-show\"),this._compactButton.setAttribute(\"aria-pressed\",\"true\"))},Ei.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(\".mapbox-improve-map\"));var r=[{key:\"owner\",value:this.styleOwner},{key:\"id\",value:this.styleId},{key:\"access_token\",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+\"=\"+e.value+(n<r.length-1?\"&\":\"\")),t}),\"?\");e.href=t.config.FEEDBACK_URL+\"/\"+n+(this._map._hash?this._map._hash.getHashString(!0):\"\"),e.rel=\"noopener nofollow\",this._setElementTitle(e,\"MapFeedback\")}},Ei.prototype._updateData=function(t){!t||\"metadata\"!==t.sourceDataType&&\"visibility\"!==t.sourceDataType&&\"style\"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},Ei.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map((function(t){return\"string\"!=typeof t?\"\":t}))):\"string\"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){var e=this._map.style.stylesheet;this.styleOwner=e.owner,this.styleId=e.id}var r=this._map.style.sourceCaches;for(var n in r){var i=r[n];if(i.used){var a=i.getSource();a.attribution&&t.indexOf(a.attribution)<0&&t.push(a.attribution)}}t.sort((function(t,e){return t.length-e.length}));var o=(t=t.filter((function(e,r){for(var n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0}))).join(\" | \");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null)}},Ei.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\",\"mapboxgl-compact-show\")};var Ci=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};Ci.prototype.onAdd=function(t){this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl\");var e=r.create(\"a\",\"mapboxgl-ctrl-logo\");return e.target=\"_blank\",e.rel=\"noopener nofollow\",e.href=\"https://www.mapbox.com/\",e.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),e.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(e),this._container.style.display=\"none\",this._map.on(\"sourcedata\",this._updateLogo),this._updateLogo(),this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container},Ci.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},Ci.prototype.getDefaultPosition=function(){return\"bottom-left\"},Ci.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},Ci.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t)if(t[e].getSource().mapbox_logo)return!0;return!1}},Ci.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add(\"mapboxgl-compact\"):e.classList.remove(\"mapboxgl-compact\")}};var Li=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};Li.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},Li.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;r<n.length;r+=1){var i=n[r];if(i.id===t)return void(i.cancelled=!0)}},Li.prototype.run=function(t){void 0===t&&(t=0);var e=this._currentlyRunning=this._queue;this._queue=[];for(var r=0,n=e;r<n.length;r+=1){var i=n[r];if(!i.cancelled&&(i.callback(t),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},Li.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Ii={\"AttributionControl.ToggleAttribution\":\"Toggle attribution\",\"AttributionControl.MapFeedback\":\"Map feedback\",\"FullscreenControl.Enter\":\"Enter fullscreen\",\"FullscreenControl.Exit\":\"Exit fullscreen\",\"GeolocateControl.FindMyLocation\":\"Find my location\",\"GeolocateControl.LocationNotAvailable\":\"Location not available\",\"LogoControl.Title\":\"Mapbox logo\",\"NavigationControl.ResetBearing\":\"Reset bearing to north\",\"NavigationControl.ZoomIn\":\"Zoom in\",\"NavigationControl.ZoomOut\":\"Zoom out\",\"ScaleControl.Feet\":\"ft\",\"ScaleControl.Meters\":\"m\",\"ScaleControl.Kilometers\":\"km\",\"ScaleControl.Miles\":\"mi\",\"ScaleControl.NauticalMiles\":\"nm\"},Pi=t.window.HTMLImageElement,zi=t.window.HTMLElement,Oi=t.window.ImageBitmap,Di=60,Ri={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:Di,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,bearingSnap:7,clickTolerance:3,pitchWithRotate:!0,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:\"sans-serif\",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},Fi=function(n){function i(e){var r=this;if(null!=(e=t.extend({},Ri,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(null!=e.minPitch&&e.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(null!=e.maxPitch&&e.maxPitch>Di)throw new Error(\"maxPitch must be less than or equal to 60\");var i=new In(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new Li,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Ii,e.locale),this._clickTolerance=e.clickTolerance,this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),\"string\"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error(\"Container '\"+e.container+\"' not found.\")}else{if(!(e.container instanceof zi))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll([\"_onWindowOnline\",\"_onWindowResize\",\"_onMapScroll\",\"_contextLost\",\"_contextRestored\"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error(\"Failed to initialize WebGL.\");this.on(\"move\",(function(){return r._update(!1)})),this.on(\"moveend\",(function(){return r._update(!1)})),this.on(\"zoom\",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener(\"online\",this._onWindowOnline,!1),t.window.addEventListener(\"resize\",this._onWindowResize,!1),t.window.addEventListener(\"orientationchange\",this._onWindowResize,!1)),this.handlers=new Mi(this,e);var a=\"string\"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new zn(a).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new Ei({customAttribution:e.customAttribution})),this.addControl(new Ci,e.logoPosition),this.on(\"style.load\",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on(\"data\",(function(e){r._update(\"style\"===e.dataType),r.fire(new t.Event(e.dataType+\"data\",e))})),this.on(\"dataloading\",(function(e){r.fire(new t.Event(e.dataType+\"dataloading\",e))}))}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&(r=e.getDefaultPosition?e.getDefaultPosition():\"top-right\"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf(\"bottom\")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.hasControl=function(t){return this._controls.indexOf(t)>-1},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event(\"movestart\",e)).fire(new t.Event(\"move\",e))),this.fire(new t.Event(\"resize\",e)),a&&this.fire(new t.Event(\"moveend\",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error(\"minZoom must be between -2 and the current maxZoom, inclusive\")},i.prototype.getMinZoom=function(){return this.transform.minZoom},i.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error(\"minPitch must be between 0 and the current maxPitch, inclusive\")},i.prototype.getMinPitch=function(){return this.transform.minPitch},i.prototype.setMaxPitch=function(t){if((t=null==t?Di:t)>Di)throw new Error(\"maxPitch must be less than or equal to 60\");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error(\"maxPitch must be greater than the current minPitch\")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if(\"mouseenter\"===t||\"mouseover\"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new Vn(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if(\"mouseleave\"===t||\"mouseout\"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new Vn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Vn(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o<a.length;o++){var s=a[o];if(s.layer===e&&s.listener===r){for(var l in s.delegates)i.off(l,s.delegates[l]);return a.splice(o,1),i}}}(this._delegatedListeners),this},i.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return[];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||\"number\"==typeof e[0])n=[t.Point.convert(e)];else{var i=t.Point.convert(e[0]),a=t.Point.convert(e[1]);n=[i,new t.Point(a.x,i.y),a,new t.Point(i.x,a.y),i]}return this.style.queryRenderedFeatures(n,r,this.transform)},i.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},i.prototype.setStyle=function(e,r){return!1!==(r=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},i.prototype._getUIString=function(t){var e=this._locale[t];if(null==e)throw new Error(\"Missing UI string '\"+t+\"'\");return e},i.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new We(this,e||{}),this.style.setEventedParent(this,{style:this.style}),\"string\"==typeof t?this.style.loadURL(t):this.style.loadJSON(t),this):(delete this.style,this)},i.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new We(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},i.prototype._diffStyle=function(e,r){var n=this;if(\"string\"==typeof e){var i=this._requestManager.normalizeStyleURL(e),a=this._requestManager.transformRequest(i,t.ResourceType.Style);t.getJSON(a,(function(e,i){e?n.fire(new t.ErrorEvent(e)):i&&n._updateDiff(i,r)}))}else\"object\"==typeof e&&this._updateDiff(e,r)},i.prototype._updateDiff=function(e,r){try{this.style.setState(e)&&this._update(!0)}catch(n){t.warnOnce(\"Unable to perform style diff: \"+(n.message||n.error||n)+\".  Rebuilding the style from scratch.\"),this._updateStyle(e,r)}},i.prototype.getStyle=function(){if(this.style)return this.style.serialize()},i.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce(\"There is no style added to the map.\")},i.prototype.addSource=function(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)},i.prototype.isSourceLoaded=function(e){var r=this.style&&this.style.sourceCaches[e];if(void 0!==r)return r.loaded();this.fire(new t.ErrorEvent(new Error(\"There is no source with ID '\"+e+\"'\")))},i.prototype.areTilesLoaded=function(){var t=this.style&&this.style.sourceCaches;for(var e in t){var r=t[e]._tiles;for(var n in r){var i=r[n];if(\"loaded\"!==i.state&&\"errored\"!==i.state)return!1}}return!0},i.prototype.addSourceType=function(t,e,r){return this._lazyInitEmptyStyle(),this.style.addSourceType(t,e,r)},i.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},i.prototype.getSource=function(t){return this.style.getSource(t)},i.prototype.addImage=function(e,r,n){void 0===n&&(n={});var i=n.pixelRatio;void 0===i&&(i=1);var a=n.sdf;void 0===a&&(a=!1);var o=n.stretchX,s=n.stretchY,l=n.content;this._lazyInitEmptyStyle();if(r instanceof Pi||Oi&&r instanceof Oi){var c=t.browser.getImageData(r),u=c.width,h=c.height,f=c.data;this.style.addImage(e,{data:new t.RGBAImage({width:u,height:h},f),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0})}else{if(void 0===r.width||void 0===r.height)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));var p=r.width,d=r.height,m=r.data,g=r;this.style.addImage(e,{data:new t.RGBAImage({width:p,height:d},new Uint8Array(m)),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0,userImage:g}),g.onAdd&&g.onAdd(this,e)}},i.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));var i=r instanceof Pi||Oi&&r instanceof Oi?t.browser.getImageData(r):r,a=i.width,o=i.height,s=i.data;if(void 0===a||void 0===o)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));if(a!==n.data.width||o!==n.data.height)return this.fire(new t.ErrorEvent(new Error(\"The width and height of the updated image must be that same as the previous version of the image\")));var l=!(r instanceof Pi||Oi&&r instanceof Oi);n.data.replace(s,l),this.style.updateImage(e,n)},i.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error(\"Missing required image id\"))),!1)},i.prototype.removeImage=function(t){this.style.removeImage(t)},i.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},i.prototype.listImages=function(){return this.style.listImages()},i.prototype.addLayer=function(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)},i.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},i.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},i.prototype.getLayer=function(t){return this.style.getLayer(t)},i.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},i.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},i.prototype.getFilter=function(t){return this.style.getFilter(t)},i.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},i.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},i.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},i.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},i.prototype.setLight=function(t,e){return void 0===e&&(e={}),this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)},i.prototype.getLight=function(){return this.style.getLight()},i.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},i.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},i.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},i.prototype.getContainer=function(){return this._container},i.prototype.getCanvasContainer=function(){return this._canvasContainer},i.prototype.getCanvas=function(){return this._canvas},i.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},i.prototype._detectMissingCSS=function(){\"rgb(250, 128, 114)\"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue(\"background-color\")&&t.warnOnce(\"This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.\")},i.prototype._setupContainer=function(){var t=this._container;t.classList.add(\"mapboxgl-map\"),(this._missingCSSCanary=r.create(\"div\",\"mapboxgl-canary\",t)).style.visibility=\"hidden\",this._detectMissingCSS();var e=this._canvasContainer=r.create(\"div\",\"mapboxgl-canvas-container\",t);this._interactive&&e.classList.add(\"mapboxgl-interactive\"),this._canvas=r.create(\"canvas\",\"mapboxgl-canvas\",e),this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",\"0\"),this._canvas.setAttribute(\"aria-label\",\"Map\"),this._canvas.setAttribute(\"role\",\"region\");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var i=this._controlContainer=r.create(\"div\",\"mapboxgl-control-container\",t),a=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach((function(t){a[t]=r.create(\"div\",\"mapboxgl-ctrl-\"+t,i)})),this._container.addEventListener(\"scroll\",this._onMapScroll,!1)},i.prototype._resizeCanvas=function(e,r){var n=t.browser.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+\"px\",this._canvas.style.height=r+\"px\"},i.prototype._setupPainter=function(){var r=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),n=this._canvas.getContext(\"webgl\",r)||this._canvas.getContext(\"experimental-webgl\",r);n?(this.painter=new Sn(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error(\"Failed to initialize WebGL\")))},i.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event(\"webglcontextlost\",{originalEvent:e}))},i.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event(\"webglcontextrestored\",{originalEvent:e}))},i.prototype._onMapScroll=function(t){if(t.target===this._container)return this._container.scrollTop=0,this._container.scrollLeft=0,!1},i.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},i.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},i.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},i.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},i.prototype._render=function(e){var r,n=this,i=0,a=this.painter.context.extTimerQuery;if(this.listens(\"gpu-timing-frame\")&&(r=a.createQueryEXT(),a.beginQueryEXT(a.TIME_ELAPSED_EXT,r),i=t.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(e),!this._removed){var o=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var s=this.transform.zoom,l=t.browser.now();this.style.zoomHistory.update(s,l);var c=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),u=c.crossFadingFactor();1===u&&u===this._crossFadingFactor||(o=!0,this._crossFadingFactor=u),this.style.update(c)}if(this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration,showPadding:this.showPadding,gpuTiming:!!this.listens(\"gpu-timing-layer\")}),this.fire(new t.Event(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event(\"load\"))),this.style&&(this.style.hasTransitions()||o)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens(\"gpu-timing-frame\")){var h=t.browser.now()-i;a.endQueryEXT(a.TIME_ELAPSED_EXT,r),setTimeout((function(){var e=a.getQueryObjectEXT(r,a.QUERY_RESULT_EXT)/1e6;a.deleteQueryEXT(r),n.fire(new t.Event(\"gpu-timing-frame\",{cpuTime:h,gpuTime:e}))}),50)}if(this.listens(\"gpu-timing-layer\")){var f=this.painter.collectGpuTimers();setTimeout((function(){var e=n.painter.queryGpuTimers(f);n.fire(new t.Event(\"gpu-timing-layer\",{layerTimes:e}))}),50)}var p=this._sourcesDirty||this._styleDirty||this._placementDirty;return p||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&this.fire(new t.Event(\"idle\")),!this._loaded||this._fullyLoaded||p||(this._fullyLoaded=!0),this}},i.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1)r[e].onRemove(this);this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener(\"resize\",this._onWindowResize,!1),t.window.removeEventListener(\"orientationchange\",this._onWindowResize,!1),t.window.removeEventListener(\"online\",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");n&&n.loseContext&&n.loseContext(),Bi(this._canvasContainer),Bi(this._controlContainer),Bi(this._missingCSSCanary),this._container.classList.remove(\"mapboxgl-map\"),this._removed=!0,this.fire(new t.Event(\"remove\"))},i.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame((function(t){e._frame=null,e._render(t)})))},i.prototype._onWindowOnline=function(){this._update()},i.prototype._onWindowResize=function(t){this._trackResize&&this.resize({originalEvent:t})._update()},a.showTileBoundaries.get=function(){return!!this._showTileBoundaries},a.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},a.showPadding.get=function(){return!!this._showPadding},a.showPadding.set=function(t){this._showPadding!==t&&(this._showPadding=t,this._update())},a.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},a.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},a.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},a.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},a.repaint.get=function(){return!!this._repaint},a.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},a.vertices.get=function(){return!!this._vertices},a.vertices.set=function(t){this._vertices=t,this._update()},i.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},a.version.get=function(){return t.version},Object.defineProperties(i.prototype,a),i}(Si);function Bi(t){t.parentNode&&t.parentNode.removeChild(t)}var Ni={showCompass:!0,showZoom:!0,visualizePitch:!1},ji=function(e){var n=this;this.options=t.extend({},Ni,e),this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this.options.showZoom&&(t.bindAll([\"_setButtonTitle\",\"_updateZoomButtons\"],this),this._zoomInButton=this._createButton(\"mapboxgl-ctrl-zoom-in\",(function(t){return n._map.zoomIn({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomInButton).setAttribute(\"aria-hidden\",!0),this._zoomOutButton=this._createButton(\"mapboxgl-ctrl-zoom-out\",(function(t){return n._map.zoomOut({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomOutButton).setAttribute(\"aria-hidden\",!0)),this.options.showCompass&&(t.bindAll([\"_rotateCompassArrow\"],this),this._compass=this._createButton(\"mapboxgl-ctrl-compass\",(function(t){n.options.visualizePitch?n._map.resetNorthPitch({},{originalEvent:t}):n._map.resetNorth({},{originalEvent:t})})),this._compassIcon=r.create(\"span\",\"mapboxgl-ctrl-icon\",this._compass),this._compassIcon.setAttribute(\"aria-hidden\",!0))};ji.prototype._updateZoomButtons=function(){var t=this._map.getZoom(),e=t===this._map.getMaxZoom(),r=t===this._map.getMinZoom();this._zoomInButton.disabled=e,this._zoomOutButton.disabled=r,this._zoomInButton.setAttribute(\"aria-disabled\",e.toString()),this._zoomOutButton.setAttribute(\"aria-disabled\",r.toString())},ji.prototype._rotateCompassArrow=function(){var t=this.options.visualizePitch?\"scale(\"+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+\") rotateX(\"+this._map.transform.pitch+\"deg) rotateZ(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\":\"rotate(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\";this._compassIcon.style.transform=t},ji.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,\"ZoomIn\"),this._setButtonTitle(this._zoomOutButton,\"ZoomOut\"),this._map.on(\"zoom\",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,\"ResetBearing\"),this.options.visualizePitch&&this._map.on(\"pitch\",this._rotateCompassArrow),this._map.on(\"rotate\",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Ui(this._map,this._compass,this.options.visualizePitch)),this._container},ji.prototype.onRemove=function(){r.remove(this._container),this.options.showZoom&&this._map.off(\"zoom\",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off(\"pitch\",this._rotateCompassArrow),this._map.off(\"rotate\",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map},ji.prototype._createButton=function(t,e){var n=r.create(\"button\",t,this._container);return n.type=\"button\",n.addEventListener(\"click\",e),n},ji.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString(\"NavigationControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)};var Ui=function(e,n,i){void 0===i&&(i=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new ei({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,i&&(this.mousePitch=new ri({clickTolerance:e.dragRotate._mousePitch._clickTolerance})),t.bindAll([\"mousedown\",\"mousemove\",\"mouseup\",\"touchstart\",\"touchmove\",\"touchend\",\"reset\"],this),r.addEventListener(n,\"mousedown\",this.mousedown),r.addEventListener(n,\"touchstart\",this.touchstart,{passive:!1}),r.addEventListener(n,\"touchmove\",this.touchmove),r.addEventListener(n,\"touchend\",this.touchend),r.addEventListener(n,\"touchcancel\",this.reset)};function Vi(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var i=new t.LngLat(e.lng-360,e.lat),a=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(i).distSqr(r)<o?e=i:n.locationPoint(a).distSqr(r)<o&&(e=a)}for(;Math.abs(e.lng-n.center.lng)>180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ui.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ui.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ui.prototype.off=function(){var t=this.element;r.removeEventListener(t,\"mousedown\",this.mousedown),r.removeEventListener(t,\"touchstart\",this.touchstart,{passive:!1}),r.removeEventListener(t,\"touchmove\",this.touchmove),r.removeEventListener(t,\"touchend\",this.touchend),r.removeEventListener(t,\"touchcancel\",this.reset),this.offTemp()},Ui.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\"mousemove\",this.mousemove),r.removeEventListener(t.window,\"mouseup\",this.mouseup)},Ui.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,\"mousemove\",this.mousemove),r.addEventListener(t.window,\"mouseup\",this.mouseup)},Ui.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ui.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ui.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:\"mousedown\",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ui.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ui.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ui.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var qi={center:\"translate(-50%,-50%)\",top:\"translate(-50%,0)\",\"top-left\":\"translate(0,0)\",\"top-right\":\"translate(-100%,0)\",bottom:\"translate(-50%,-100%)\",\"bottom-left\":\"translate(0,-100%)\",\"bottom-right\":\"translate(-100%,-100%)\",left:\"translate(0,-50%)\",right:\"translate(-100%,-50%)\"};function Hi(t,e,r){var n=t.classList;for(var i in qi)n.remove(\"mapboxgl-\"+r+\"-anchor-\"+i);n.add(\"mapboxgl-\"+r+\"-anchor-\"+e)}var Gi,Zi=function(e){function n(n,i){if(e.call(this),(n instanceof t.window.HTMLElement||i)&&(n=t.extend({element:n},i)),t.bindAll([\"_update\",\"_onMove\",\"_onUp\",\"_addDragHandler\",\"_onMapClick\",\"_onKeyPress\"],this),this._anchor=n&&n.anchor||\"center\",this._color=n&&n.color||\"#3FB1CE\",this._scale=n&&n.scale||1,this._draggable=n&&n.draggable||!1,this._clickTolerance=n&&n.clickTolerance||0,this._isDragging=!1,this._state=\"inactive\",this._rotation=n&&n.rotation||0,this._rotationAlignment=n&&n.rotationAlignment||\"auto\",this._pitchAlignment=n&&n.pitchAlignment&&\"auto\"!==n.pitchAlignment?n.pitchAlignment:this._rotationAlignment,n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else{this._defaultMarker=!0,this._element=r.create(\"div\"),this._element.setAttribute(\"aria-label\",\"Map marker\");var a=r.createNS(\"http://www.w3.org/2000/svg\",\"svg\");a.setAttributeNS(null,\"display\",\"block\"),a.setAttributeNS(null,\"height\",\"41px\"),a.setAttributeNS(null,\"width\",\"27px\"),a.setAttributeNS(null,\"viewBox\",\"0 0 27 41\");var o=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");o.setAttributeNS(null,\"stroke\",\"none\"),o.setAttributeNS(null,\"stroke-width\",\"1\"),o.setAttributeNS(null,\"fill\",\"none\"),o.setAttributeNS(null,\"fill-rule\",\"evenodd\");var s=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");s.setAttributeNS(null,\"fill-rule\",\"nonzero\");var l=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");l.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),l.setAttributeNS(null,\"fill\",\"#000000\");for(var c=0,u=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}];c<u.length;c+=1){var h=u[c],f=r.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");f.setAttributeNS(null,\"opacity\",\"0.04\"),f.setAttributeNS(null,\"cx\",\"10.5\"),f.setAttributeNS(null,\"cy\",\"5.80029008\"),f.setAttributeNS(null,\"rx\",h.rx),f.setAttributeNS(null,\"ry\",h.ry),l.appendChild(f)}var p=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");p.setAttributeNS(null,\"fill\",this._color);var d=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");d.setAttributeNS(null,\"d\",\"M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z\"),p.appendChild(d);var m=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");m.setAttributeNS(null,\"opacity\",\"0.25\"),m.setAttributeNS(null,\"fill\",\"#000000\");var g=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");g.setAttributeNS(null,\"d\",\"M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z\"),m.appendChild(g);var y=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");y.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),y.setAttributeNS(null,\"fill\",\"#FFFFFF\");var v=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");v.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");var x=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");x.setAttributeNS(null,\"fill\",\"#000000\"),x.setAttributeNS(null,\"opacity\",\"0.25\"),x.setAttributeNS(null,\"cx\",\"5.5\"),x.setAttributeNS(null,\"cy\",\"5.5\"),x.setAttributeNS(null,\"r\",\"5.4999962\");var _=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");_.setAttributeNS(null,\"fill\",\"#FFFFFF\"),_.setAttributeNS(null,\"cx\",\"5.5\"),_.setAttributeNS(null,\"cy\",\"5.5\"),_.setAttributeNS(null,\"r\",\"5.4999962\"),v.appendChild(x),v.appendChild(_),s.appendChild(l),s.appendChild(p),s.appendChild(m),s.appendChild(y),s.appendChild(v),a.appendChild(s),a.setAttributeNS(null,\"height\",41*this._scale+\"px\"),a.setAttributeNS(null,\"width\",27*this._scale+\"px\"),this._element.appendChild(a),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add(\"mapboxgl-marker\"),this._element.addEventListener(\"dragstart\",(function(t){t.preventDefault()})),this._element.addEventListener(\"mousedown\",(function(t){t.preventDefault()})),Hi(this._element,this._anchor,\"marker\"),this._popup=null}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on(\"move\",this._update),t.on(\"moveend\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler),this._map.off(\"mouseup\",this._onUp),this._map.off(\"touchend\",this._onUp),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),t){if(!(\"offset\"in t.options)){var e=13.5,r=Math.sqrt(Math.pow(e,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-38.1],\"bottom-left\":[r,-1*(24.6+r)],\"bottom-right\":[-r,-1*(24.6+r)],left:[e,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress)}return this},n.prototype._onKeyPress=function(t){var e=t.code,r=t.charCode||t.keyCode;\"Space\"!==e&&\"Enter\"!==e&&32!==r&&13!==r||this.togglePopup()},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=Vi(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var e=\"\";\"viewport\"===this._rotationAlignment||\"auto\"===this._rotationAlignment?e=\"rotateZ(\"+this._rotation+\"deg)\":\"map\"===this._rotationAlignment&&(e=\"rotateZ(\"+(this._rotation-this._map.getBearing())+\"deg)\");var n=\"\";\"viewport\"===this._pitchAlignment||\"auto\"===this._pitchAlignment?n=\"rotateX(0deg)\":\"map\"===this._pitchAlignment&&(n=\"rotateX(\"+this._map.getPitch()+\"deg)\"),t&&\"moveend\"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,qi[this._anchor]+\" translate(\"+this._pos.x+\"px, \"+this._pos.y+\"px) \"+n+\" \"+e)}},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){if(!this._isDragging){var r=this._clickTolerance||this._map._clickTolerance;this._isDragging=e.point.dist(this._pointerdownPos)>=r}this._isDragging&&(this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\"none\",\"pending\"===this._state&&(this._state=\"active\",this.fire(new t.Event(\"dragstart\"))),this.fire(new t.Event(\"drag\")))},n.prototype._onUp=function(){this._element.style.pointerEvents=\"auto\",this._positionDelta=null,this._pointerdownPos=null,this._isDragging=!1,this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),\"active\"===this._state&&this.fire(new t.Event(\"dragend\")),this._state=\"inactive\"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._pointerdownPos=t.point,this._state=\"pending\",this._map.on(\"mousemove\",this._onMove),this._map.on(\"touchmove\",this._onMove),this._map.once(\"mouseup\",this._onUp),this._map.once(\"touchend\",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on(\"mousedown\",this._addDragHandler),this._map.on(\"touchstart\",this._addDragHandler)):(this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||\"auto\",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&\"auto\"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Wi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Yi=0,Xi=!1,$i=function(e){function n(r){e.call(this),this.options=t.extend({},Wi,r),t.bindAll([\"_onSuccess\",\"_onError\",\"_onZoom\",\"_finish\",\"_setupUI\",\"_updateCamera\",\"_updateMarker\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.onAdd=function(e){return this._map=e,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),n=this._setupUI,void 0!==Gi?n(Gi):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:\"geolocation\"}).then((function(t){Gi=\"denied\"!==t.state,n(Gi)})):(Gi=!!t.window.navigator.geolocation,n(Gi)),this._container;var n},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,Yi=0,Xi=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitude<e.getWest()||r.longitude>e.getEast()||r.latitude<e.getSouth()||r.latitude>e.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event(\"outofmaxbounds\",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\")}this.options.showUserLocation&&\"OFF\"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&\"ACTIVE_LOCK\"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"geolocate\",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+\"px\",this._circleElement.style.height=i+\"px\"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;var r=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=r,this._geolocateButton.setAttribute(\"aria-label\",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&Xi)return;this._setErrorState()}\"OFF\"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"error\",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this._geolocateButton=r.create(\"button\",\"mapboxgl-ctrl-geolocate\",this._container),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",!0),this._geolocateButton.type=\"button\",!1===e){t.warnOnce(\"Geolocation support is not available so the GeolocateControl will be disabled.\");var i=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute(\"aria-label\",i)}else{var a=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.title=a,this._geolocateButton.setAttribute(\"aria-label\",a)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=r.create(\"div\",\"mapboxgl-user-location-dot\"),this._userLocationDotMarker=new Zi(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Zi({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",(function(e){var r=e.originalEvent&&\"resize\"===e.originalEvent.type;e.geolocateSource||\"ACTIVE_LOCK\"!==n._watchState||r||(n._watchState=\"BACKGROUND\",n._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\"),n._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),n.fire(new t.Event(\"trackuserlocationend\")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce(\"Geolocate control triggered before added to a map\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new t.Event(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":Yi--,Xi=!1,this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this.fire(new t.Event(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event(\"trackuserlocationstart\"))}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"BACKGROUND\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\");break;case\"BACKGROUND_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\")}if(\"OFF\"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),++Yi>1?(e={maximumAge:6e5,timeout:0},Xi=!0):(e=this.options.positionOptions,Xi=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Ji={maxWidth:100,unit:\"metric\"},Ki=function(e){this.options=t.extend({},Ji,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function Qi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&\"imperial\"===r.unit){var l=3.2808*s;l>5280?ta(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\")):ta(e,n,l,t._getUIString(\"ScaleControl.Feet\"))}else r&&\"nautical\"===r.unit?ta(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\")):s>=1e3?ta(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):ta(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function ta(t,e,r,n){var i,a,o,s=(i=r,(a=Math.pow(10,(\"\"+Math.floor(i)).length-1))*((o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o))),l=s/r;t.style.width=e*l+\"px\",t.innerHTML=s+\"&nbsp;\"+n}Ki.prototype.getDefaultPosition=function(){return\"bottom-left\"},Ki.prototype._onMove=function(){Qi(this._map,this._container,this.options)},Ki.prototype.onAdd=function(t){return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-scale\",t.getContainer()),this._map.on(\"move\",this._onMove),this._onMove(),this._container},Ki.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},Ki.prototype.setUnit=function(t){this.options.unit=t,Qi(this._map,this._container,this.options)};var ea=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce(\"Full screen control 'container' must be a DOM element.\")),t.bindAll([\"_onClickFullscreen\",\"_changeIcon\"],this),\"onfullscreenchange\"in t.window.document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in t.window.document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in t.window.document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in t.window.document&&(this._fullscreenchange=\"MSFullscreenChange\")};ea.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display=\"none\",t.warnOnce(\"This device does not support fullscreen mode.\")),this._controlContainer},ea.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},ea.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},ea.prototype._setupUI=function(){var e=this._fullscreenButton=r.create(\"button\",\"mapboxgl-ctrl-fullscreen\",this._controlContainer);r.create(\"span\",\"mapboxgl-ctrl-icon\",e).setAttribute(\"aria-hidden\",!0),e.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},ea.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},ea.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},ea.prototype._isFullscreen=function(){return this._fullscreen},ea.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-fullscreen\"),this._updateTitle())},ea.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var ra={closeButton:!0,closeOnClick:!0,focusAfterOpen:!0,className:\"\",maxWidth:\"240px\"},na=[\"a[href]\",\"[tabindex]:not([tabindex='-1'])\",\"[contenteditable]:not([contenteditable='false'])\",\"button:not([disabled])\",\"input:not([disabled])\",\"select:not([disabled])\",\"textarea:not([disabled])\"].join(\", \"),ia=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(ra),r),t.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._focusFirstElement(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new t.Event(\"open\")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),delete this._map),this.fire(new t.Event(\"close\")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),i=t.window.document.createElement(\"body\");for(i.innerHTML=e;r=i.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){if(this._content)for(;this._content.hasChildNodes();)this._content.firstChild&&this._content.removeChild(this._content.firstChild);else this._content=r.create(\"div\",\"mapboxgl-popup-content\",this._container);return this._content.appendChild(t),this._createCloseButton(),this._update(),this._focusFirstElement(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.setOffset=function(t){return this.options.offset=t,this._update(),this},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createCloseButton=function(){this.options.closeButton&&(this._closeButton=r.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.setAttribute(\"aria-label\",\"Close popup\"),this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(t){var e=this,n=this._lngLat||this._trackPointer;if(this._map&&n&&this._content&&(this._container||(this._container=r.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=r.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(\" \").forEach((function(t){return e._container.classList.add(t)})),this._trackPointer&&this._container.classList.add(\"mapboxgl-popup-track-pointer\")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=Vi(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||t)){var i=this._pos=this._trackPointer&&t?t:this._map.project(this._lngLat),a=this.options.anchor,o=aa(this.options.offset);if(!a){var s,l=this._container.offsetWidth,c=this._container.offsetHeight;s=i.y+o.bottom.y<c?[\"top\"]:i.y>this._map.transform.height-c?[\"bottom\"]:[],i.x<l/2?s.push(\"left\"):i.x>this._map.transform.width-l/2&&s.push(\"right\"),a=0===s.length?\"bottom\":s.join(\"-\")}var u=i.add(o[a]).round();r.setTransform(this._container,qi[a]+\" translate(\"+u.x+\"px,\"+u.y+\"px)\"),Hi(this._container,a,\"popup\")}},n.prototype._focusFirstElement=function(){if(this.options.focusAfterOpen&&this._container){var t=this._container.querySelector(na);t&&t.focus()}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);function aa(e){if(e){if(\"number\"==typeof e){var r=Math.round(Math.sqrt(.5*Math.pow(e,2)));return{center:new t.Point(0,0),top:new t.Point(0,e),\"top-left\":new t.Point(r,r),\"top-right\":new t.Point(-r,r),bottom:new t.Point(0,-e),\"bottom-left\":new t.Point(r,-r),\"bottom-right\":new t.Point(-r,-r),left:new t.Point(e,0),right:new t.Point(-e,0)}}if(e instanceof t.Point||Array.isArray(e)){var n=t.Point.convert(e);return{center:n,top:n,\"top-left\":n,\"top-right\":n,bottom:n,\"bottom-left\":n,\"bottom-right\":n,left:n,right:n}}return{center:t.Point.convert(e.center||[0,0]),top:t.Point.convert(e.top||[0,0]),\"top-left\":t.Point.convert(e[\"top-left\"]||[0,0]),\"top-right\":t.Point.convert(e[\"top-right\"]||[0,0]),bottom:t.Point.convert(e.bottom||[0,0]),\"bottom-left\":t.Point.convert(e[\"bottom-left\"]||[0,0]),\"bottom-right\":t.Point.convert(e[\"bottom-right\"]||[0,0]),left:t.Point.convert(e.left||[0,0]),right:t.Point.convert(e.right||[0,0])}}return aa(new t.Point(0,0))}var oa={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Fi,NavigationControl:ji,GeolocateControl:$i,AttributionControl:Ei,ScaleControl:Ki,FullscreenControl:ea,Popup:ia,Marker:Zi,Style:We,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){jt().acquire(Rt)},clearPrewarmedResources:function(){var t=Bt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(Rt),Bt=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()\"))},get accessToken(){return t.config.ACCESS_TOKEN},set accessToken(e){t.config.ACCESS_TOKEN=e},get baseApiUrl(){return t.config.API_URL},set baseApiUrl(e){t.config.API_URL=e},get workerCount(){return Ft.workerCount},set workerCount(t){Ft.workerCount=t},get maxParallelImageRequests(){return t.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(e){t.config.MAX_PARALLEL_IMAGE_REQUESTS=e},clearStorage:function(e){t.clearTileCache(e)},workerUrl:\"\"};return oa})),r}()},27549:function(t,e,r){\"use strict\";t.exports=r(55366)},55366:function(t,e,r){\"use strict\";var n=r(31625),i=r(75144),a=r(5137),o=r(78112),s=r(6807),l=r(68650),c=r(83473),u=r(60201),h=r(10275),f=r(62914);function p(t,e){for(var r=e[0],n=e[1],a=1/(e[2]-r),o=1/(e[3]-n),s=new Array(t.length),l=0,c=t.length/2;l<c;l++)s[2*l]=i((t[2*l]-r)*a,0,1),s[2*l+1]=i((t[2*l+1]-n)*o,0,1);return 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t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},74024:function(t,e,r){\"use strict\";var n=r(59518),i=r(6807),a=r(81330),o=r(38862),s=r(93103),l=r(162),c=r(68950),u=r(66127),h=r(5137),f=r(29388),p=r(4957),d=r(44626),m=r(44431),g=r(27976),y=r(12673),v=r(83473),x=r(54689).nextPow2,_=new s,b=!1;if(document.body){var w=document.body.appendChild(document.createElement(\"div\"));w.style.font=\"italic small-caps bold condensed 16px/2 cursive\",getComputedStyle(w).fontStretch&&(b=!0),document.body.removeChild(w)}var T=function(t){!function(t){return\"function\"==typeof t&&t._gl&&t.prop&&t.texture&&t.buffer}(t)?this.gl=o(t):(t={regl:t},this.gl=t.regl._gl),this.shader=_.get(this.gl),this.shader?this.regl=this.shader.regl:this.regl=t.regl||a({gl:this.gl}),this.charBuffer=this.regl.buffer({type:\"uint8\",usage:\"stream\"}),this.sizeBuffer=this.regl.buffer({type:\"float\",usage:\"stream\"}),this.shader||(this.shader=this.createShader(),_.set(this.gl,this.shader)),this.batch=[],this.fontSize=[],this.font=[],this.fontAtlas=[],this.draw=this.shader.draw.bind(this),this.render=function(){this.regl._refresh(),this.draw(this.batch)},this.canvas=this.gl.canvas,this.update(f(t)?t:{})};T.prototype.createShader=function(){var t=this.regl,e=t({blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst 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float fontSize, charStep, em, align, baseline;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform vec4 color;\\n\\t\\t\\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\\n\\t\\t\\t\\t\\t+ vec2(positionOffset.x, -positionOffset.y)))\\n\\t\\t\\t\\t\\t/ (viewport.zw * scale.xy);\\n\\n\\t\\t\\t\\tvec2 position = (position + translate) * scale;\\n\\t\\t\\t\\tposition += offset * scale;\\n\\n\\t\\t\\t\\tcharCoord = position * viewport.zw + viewport.xy;\\n\\n\\t\\t\\t\\tgl_Position = vec4(position * 2. - 1., 0, 1);\\n\\n\\t\\t\\t\\tgl_PointSize = charStep;\\n\\n\\t\\t\\t\\tcharId.x = mod(char, atlasDim.x);\\n\\t\\t\\t\\tcharId.y = floor(char / atlasDim.x);\\n\\n\\t\\t\\t\\tcharWidth = width * em;\\n\\n\\t\\t\\t\\tfontColor = color / 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return;\\n\\n\\t\\t\\t\\tuv += charId * charStep;\\n\\t\\t\\t\\tuv = uv / atlasSize;\\n\\n\\t\\t\\t\\tvec4 color = fontColor;\\n\\t\\t\\t\\tvec4 mask = texture2D(atlas, uv);\\n\\n\\t\\t\\t\\tfloat maskY = lightness(mask);\\n\\t\\t\\t\\t// float colorY = lightness(color);\\n\\t\\t\\t\\tcolor.a *= maskY;\\n\\t\\t\\t\\tcolor.a *= opacity;\\n\\n\\t\\t\\t\\t// color.a += .1;\\n\\n\\t\\t\\t\\t// antialiasing, see yiq color space y-channel formula\\n\\t\\t\\t\\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\\n\\n\\t\\t\\t\\tgl_FragColor = color;\\n\\t\\t\\t}\"});return{regl:t,draw:e,atlas:{}}},T.prototype.update=function(t){var e=this;if(\"string\"==typeof t)t={text:t};else if(!t)return;null!=(t=i(t,{position:\"position positions coord coords coordinates\",font:\"font fontFace fontface typeface cssFont css-font family fontFamily\",fontSize:\"fontSize fontsize size font-size\",text:\"text texts chars characters value values symbols\",align:\"align alignment textAlign 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t.offset&&(t.offset=[t.offset,0]),this.positionOffset=v(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),this.font.length||t.font||(t.font=T.baseFontSize+\"px sans-serif\");var r,a=!1,o=!1;if(t.font&&(Array.isArray(t.font)?t.font:[t.font]).forEach((function(t,r){if(\"string\"==typeof t)try{t=n.parse(t)}catch(e){t=n.parse(T.baseFontSize+\"px \"+t)}else{var i=t.style,s=t.weight,l=t.stretch,c=t.variant;t=n.parse(n.stringify(t)),i&&(t.style=i),s&&(t.weight=s),l&&(t.stretch=l),c&&(t.variant=c)}var u=n.stringify({size:T.baseFontSize,family:t.family,stretch:b?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),h=p(t.size),f=Math.round(h[0]*d(h[1]));if(f!==e.fontSize[r]&&(o=!0,e.fontSize[r]=f),!(e.font[r]&&u==e.font[r].baseString||(a=!0,e.font[r]=T.fonts[u],e.font[r]))){var m=t.family.join(\", \"),g=[t.style];t.style!=t.variant&&g.push(t.variant),t.variant!=t.weight&&g.push(t.weight),b&&t.weight!=t.stretch&&g.push(t.stretch),e.font[r]={baseString:u,family:m,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:y(m,{origin:\"top\",fontSize:T.baseFontSize,fontStyle:g.join(\" \")})},T.fonts[u]=e.font[r]}})),(a||o)&&this.font.forEach((function(r,i){var a=n.stringify({size:e.fontSize[i],family:r.family,stretch:b?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[i]=e.shader.atlas[a],!e.fontAtlas[i]){var o=r.metrics;e.shader.atlas[a]=e.fontAtlas[i]={fontString:a,step:2*Math.ceil(e.fontSize[i]*o.bottom*.5),em:e.fontSize[i],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:e.regl.texture()}}null==t.text&&(t.text=e.text)})),\"string\"==typeof t.text&&t.position&&t.position.length>2){for(var s=Array(.5*t.position.length),f=0;f<s.length;f++)s[f]=t.text;t.text=s}if(null!=t.text||a){if(this.textOffsets=[0],Array.isArray(t.text)){this.count=t.text[0].length,this.counts=[this.count];for(var _=1;_<t.text.length;_++)this.textOffsets[_]=this.textOffsets[_-1]+t.text[_-1].length,this.count+=t.text[_].length,this.counts.push(t.text[_].length);this.text=t.text.join(\"\")}else this.text=t.text,this.count=this.text.length,this.counts=[this.count];r=[],this.font.forEach((function(t,n){T.atlasContext.font=t.baseString;for(var i=e.fontAtlas[n],a=0;a<e.text.length;a++){var o=e.text.charAt(a);if(null==i.ids[o]&&(i.ids[o]=i.chars.length,i.chars.push(o),r.push(o)),null==t.width[o]&&(t.width[o]=T.atlasContext.measureText(o).width/T.baseFontSize,e.kerning)){var s=[];for(var l in t.width)s.push(l+o,o+l);g(t.kerning,m(t.family,{pairs:s}))}}}))}if(t.position)if(t.position.length>2){for(var w=!t.position[0].length,k=u.mallocFloat(2*this.count),A=0,M=0;A<this.counts.length;A++){var S=this.counts[A];if(w)for(var E=0;E<S;E++)k[M++]=t.position[2*A],k[M++]=t.position[2*A+1];else for(var C=0;C<S;C++)k[M++]=t.position[A][0],k[M++]=t.position[A][1]}this.position.call?this.position({type:\"float\",data:k}):this.position=this.regl.buffer({type:\"float\",data:k}),u.freeFloat(k)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||a){var L=u.mallocUint8(this.count),I=u.mallocFloat(2*this.count);this.textWidth=[];for(var P=0,z=0;P<this.counts.length;P++){for(var 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n=Array.isArray(e.align)?e.align.length>1?e.align[r]:e.align[0]:e.align;if(\"number\"==typeof n)return n;switch(n){case\"right\":case\"end\":return-t;case\"center\":case\"centre\":case\"middle\":return.5*-t}return 0}))),null==this.baseline&&null==t.baseline&&(t.baseline=0),null!=t.baseline&&(this.baseline=t.baseline,Array.isArray(this.baseline)||(this.baseline=[this.baseline]),this.baselineOffset=this.baseline.map((function(t,r){var n=(e.font[r]||e.font[0]).metrics,i=0;return i+=.5*n.bottom,-1*(i+=\"number\"==typeof t?t-n.baseline:-n[t])}))),null!=t.color)if(t.color||(t.color=\"transparent\"),\"string\"!=typeof t.color&&isNaN(t.color)){var H;if(\"number\"==typeof t.color[0]&&t.color.length>this.counts.length){var G=t.color.length;H=u.mallocUint8(G);for(var Z=(t.color.subarray||t.color.slice).bind(t.color),W=0;W<G;W+=4)H.set(l(Z(W,W+4),\"uint8\"),W)}else{var Y=t.color.length;H=u.mallocUint8(4*Y);for(var X=0;X<Y;X++)H.set(l(t.color[X]||0,\"uint8\"),4*X)}this.color=H}else this.color=l(t.color,\"uint8\");if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity)if(this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2){var $=Math.max(.5*this.position.length||0,.25*this.color.length||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,.5*this.positionOffset.length||0);this.batch=Array($);for(var J=0;J<this.batch.length;J++)this.batch[J]={count:this.counts.length>1?this.counts[J]:this.counts[0],offset:this.textOffsets.length>1?this.textOffsets[J]:this.textOffsets[0],color:this.color?this.color.length<=4?this.color:this.color.subarray(4*J,4*J+4):[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[J]:this.opacity,baseline:null!=this.baselineOffset[J]?this.baselineOffset[J]:this.baselineOffset[0],align:this.align?null!=this.alignOffset[J]?this.alignOffset[J]:this.alignOffset[0]:0,atlas:this.fontAtlas[J]||this.fontAtlas[0],positionOffset:this.positionOffset.length>2?this.positionOffset.subarray(2*J,2*J+2):this.positionOffset}}else this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[]},T.prototype.destroy=function(){},T.prototype.kerning=!0,T.prototype.position={constant:new Float32Array(2)},T.prototype.translate=null,T.prototype.scale=null,T.prototype.font=null,T.prototype.text=\"\",T.prototype.positionOffset=[0,0],T.prototype.opacity=1,T.prototype.color=new Uint8Array([0,0,0,255]),T.prototype.alignOffset=[0,0],T.maxAtlasSize=1024,T.atlasCanvas=document.createElement(\"canvas\"),T.atlasContext=T.atlasCanvas.getContext(\"2d\",{alpha:!1}),T.baseFontSize=64,T.fonts={},t.exports=T},38862:function(t,e,r){\"use strict\";var n=r(6807);function 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n=t.segments({inverted:!1,regions:[]}),i=0;i<e.coordinates.length;i++)n=t.selectUnion(t.combine(n,r(e.coordinates[i])));return t.polygon(n)}throw new Error(\"PolyBool: Cannot convert GeoJSON object to PolyBool polygon\")},fromPolygon:function(t,e,r){function n(t,r){return e.pointInsideRegion([.5*(t[0][0]+t[1][0]),.5*(t[0][1]+t[1][1])],r)}function i(t){return{region:t,children:[]}}r=t.polygon(t.segments(r));var a=i(null);function o(t,e){for(var r=0;r<t.children.length;r++)if(n(e,(s=t.children[r]).region))return void o(s,e);var a=i(e);for(r=0;r<t.children.length;r++){var s;n((s=t.children[r]).region,e)&&(a.children.push(s),t.children.splice(r,1),r--)}t.children.push(a)}for(var s=0;s<r.regions.length;s++){var l=r.regions[s];l.length<3||o(a,l)}function c(t,e){for(var r=0,n=t[t.length-1][0],i=t[t.length-1][1],a=[],o=0;o<t.length;o++){var s=t[o][0],l=t[o][1];a.push([s,l]),r+=l*n-s*i,n=s,i=l}return r<0!==e&&a.reverse(),a.push([a[0][0],a[0][1]]),a}var u=[];function h(t){var e=[c(t.region,!1)];u.push(e);for(var r=0;r<t.children.length;r++)e.push(f(t.children[r]))}function f(t){for(var e=0;e<t.children.length;e++)h(t.children[e]);return c(t.region,!0)}for(s=0;s<a.children.length;s++)h(a.children[s]);return u.length<=0?{type:\"Polygon\",coordinates:[]}:1==u.length?{type:\"Polygon\",coordinates:u[0]}:{type:\"MultiPolygon\",coordinates:u}}};t.exports=e},26202:function(t,e,r){var n=r(48916);t.exports=function(t,e,r){function i(t,e,n){return{id:r?r.segmentId():-1,start:t,end:e,myFill:{above:n.myFill.above,below:n.myFill.below},otherFill:null}}var a=n.create();function o(t,r){a.insertBefore(t,(function(n){return i=t.isStart,a=t.pt,o=r,s=n.isStart,l=n.pt,c=n.other.pt,(0!==(u=e.pointsCompare(a,l))?u:e.pointsSame(o,c)?0:i!==s?i?1:-1:e.pointAboveOrOnLine(o,s?l:c,s?c:l)?1:-1)<0;var i,a,o,s,l,c,u}))}function s(t,e){var r=function(t,e){var r=n.node({isStart:!0,pt:t.start,seg:t,primary:e,other:null,status:null});return o(r,t.end),r}(t,e);return function(t,e,r){var i=n.node({isStart:!1,pt:e.end,seg:e,primary:r,other:t,status:null});t.other=i,o(i,t.pt)}(r,t,e),r}function l(t,e){var n=i(e,t.seg.end,t.seg);return function(t,e){r&&r.segmentChop(t.seg,e),t.other.remove(),t.seg.end=e,t.other.pt=e,o(t.other,t.pt)}(t,e),s(n,t.primary)}function c(i,o){var s=n.create();function c(t){return s.findTransition((function(r){var n,i,a,o,s,l;return n=t,i=r.ev,a=n.seg.start,o=n.seg.end,s=i.seg.start,l=i.seg.end,(e.pointsCollinear(a,s,l)?e.pointsCollinear(o,s,l)||e.pointAboveOrOnLine(o,s,l)?1:-1:e.pointAboveOrOnLine(a,s,l)?1:-1)>0}))}function u(t,n){var i=t.seg,a=n.seg,o=i.start,s=i.end,c=a.start,u=a.end;r&&r.checkIntersection(i,a);var h=e.linesIntersect(o,s,c,u);if(!1===h){if(!e.pointsCollinear(o,s,c))return!1;if(e.pointsSame(o,u)||e.pointsSame(s,c))return!1;var f=e.pointsSame(o,c),p=e.pointsSame(s,u);if(f&&p)return n;var d=!f&&e.pointBetween(o,c,u),m=!p&&e.pointBetween(s,c,u);if(f)return m?l(n,s):l(t,u),n;d&&(p||(m?l(n,s):l(t,u)),l(n,o))}else 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y,v,x=g();if(x)t?(v=null===f.seg.myFill.below||f.seg.myFill.above!==f.seg.myFill.below)&&(x.seg.myFill.above=!x.seg.myFill.above):x.seg.otherFill=f.seg.myFill,r&&r.segmentUpdate(x.seg),f.other.remove(),f.remove();if(a.getHead()!==f){r&&r.rewind(f.seg);continue}t?(v=null===f.seg.myFill.below||f.seg.myFill.above!==f.seg.myFill.below,f.seg.myFill.below=m?m.seg.myFill.above:i,f.seg.myFill.above=v?!f.seg.myFill.below:f.seg.myFill.below):null===f.seg.otherFill&&(y=m?f.primary===m.primary?m.seg.otherFill.above:m.seg.myFill.above:f.primary?o:i,f.seg.otherFill={above:y,below:y}),r&&r.status(f.seg,!!d&&d.seg,!!m&&m.seg),f.other.status=p.insert(n.node({ev:f}))}else{var _=f.status;if(null===_)throw new Error(\"PolyBool: Zero-length segment detected; your epsilon is probably too small or too large\");if(s.exists(_.prev)&&s.exists(_.next)&&u(_.prev.ev,_.next.ev),r&&r.statusRemove(_.ev.seg),_.remove(),!f.primary){var 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a=n[t],o=n[i],s=a[a.length-1],l=a[a.length-2],c=o[0],u=o[1];e.pointsCollinear(l,s,c)&&(r&&r.chainRemoveTail(t,s),a.pop(),s=l),e.pointsCollinear(s,c,u)&&(r&&r.chainRemoveHead(i,c),o.shift()),r&&r.chainJoin(t,i),n[t]=a.concat(o),n.splice(i,1)}})),i}},17527:function(t){function e(t,e,r){var n=[];return t.forEach((function(t){var i=(t.myFill.above?8:0)+(t.myFill.below?4:0)+(t.otherFill&&t.otherFill.above?2:0)+(t.otherFill&&t.otherFill.below?1:0);0!==e[i]&&n.push({id:r?r.segmentId():-1,start:t.start,end:t.end,myFill:{above:1===e[i],below:2===e[i]},otherFill:null})})),r&&r.selected(n),n}var r={union:function(t,r){return e(t,[0,2,1,0,2,2,0,0,1,0,1,0,0,0,0,0],r)},intersect:function(t,r){return e(t,[0,0,0,0,0,2,0,2,0,0,1,1,0,2,1,0],r)},difference:function(t,r){return e(t,[0,0,0,0,2,0,2,0,1,1,0,0,0,1,2,0],r)},differenceRev:function(t,r){return e(t,[0,2,1,0,0,0,1,1,0,2,0,2,0,0,0,0],r)},xor:function(t,r){return e(t,[0,2,1,0,2,0,0,1,1,0,0,2,0,1,2,0],r)}};t.exports=r},3944:function(t,e,r){\"use 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this.big_endian?16777216*r[t]+65536*r[t+1]+256*r[t+2]+r[t+3]:r[t]+256*r[t+1]+65536*r[t+2]+16777216*r[t+3]},n.prototype.is_subifd_link=function(t,e){return 0===t&&34665===e||0===t&&34853===e||34665===t&&40965===e},n.prototype.exif_format_length=function(t){switch(t){case 1:case 2:case 6:case 7:return 1;case 3:case 8:return 2;case 4:case 9:case 11:return 4;case 5:case 10:case 12:return 8;default:return 0}},n.prototype.exif_format_read=function(t,e){var r;switch(t){case 1:case 2:return this.input[e];case 6:return(r=this.input[e])|33554430*(128&r);case 3:return this.read_uint16(e);case 8:return(r=this.read_uint16(e))|131070*(32768&r);case 4:return this.read_uint32(e);case 9:return 0|this.read_uint32(e);default:return null}},n.prototype.scan_ifd=function(t,n,i){var a=this.read_uint16(n);n+=2;for(var o=0;o<a;o++){var s=this.read_uint16(n),l=this.read_uint16(n+2),c=this.read_uint32(n+4),u=this.exif_format_length(l),h=c*u,f=h<=4?n+8:this.read_uint32(n+8),p=!1;if(f+h>this.input.length)throw 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t&&(t=x[t]),null!=t&&t&&t.count&&t.color&&t.opacity&&t.positions&&t.positions.length>1&&(t.scaleRatio=[t.scale[0]*t.viewport.width,t.scale[1]*t.viewport.height],r(t),t.after&&t.after(t))}function T(t){if(t){null!=t.length?\"number\"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var e=0,r=0;if(_.groups=x=t.map((function(t,c){var u=x[c];return t?(\"function\"==typeof t?t={after:t}:\"number\"==typeof t[0]&&(t={positions:t}),t=o(t,{color:\"color colors fill\",capSize:\"capSize cap capsize cap-size\",lineWidth:\"lineWidth line-width width line thickness\",opacity:\"opacity alpha\",range:\"range dataBox\",viewport:\"viewport viewBox\",errors:\"errors error\",positions:\"positions position data points\"}),u||(x[c]=u={id:c,scale:null,translate:null,scaleFract:null,translateFract:null,draw:!0},t=s({},v,t)),a(u,t,[{lineWidth:function(t){return.5*+t},capSize:function(t){return.5*+t},opacity:parseFloat,errors:function(t){return t=l(t),r+=t.length,t},positions:function(t,r){return t=l(t,\"float64\"),r.count=Math.floor(t.length/2),r.bounds=n(t,2),r.offset=e,e+=r.count,t}},{color:function(t,e){var r=e.count;if(t||(t=\"transparent\"),!Array.isArray(t)||\"number\"==typeof t[0]){var n=t;t=Array(r);for(var a=0;a<r;a++)t[a]=n}if(t.length<r)throw Error(\"Not enough colors\");for(var o=new Uint8Array(4*r),s=0;s<r;s++){var l=i(t[s],\"uint8\");o.set(l,4*s)}return o},range:function(t,e,r){var n=e.bounds;return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=h(e.scale),e.translateFract=h(e.translate),t},viewport:function(t){var e;return Array.isArray(t)?e={x:t[0],y:t[1],width:t[2]-t[0],height:t[3]-t[1]}:t?(e={x:t.x||t.left||0,y:t.y||t.top||0},t.right?e.width=t.right-e.x:e.width=t.w||t.width||0,t.bottom?e.height=t.bottom-e.y:e.height=t.h||t.height||0):e={x:0,y:0,width:y.drawingBufferWidth,height:y.drawingBufferHeight},e}}]),u):u})),e||r){var f=x.reduce((function(t,e,r){return t+(e?e.count:0)}),0),g=new Float64Array(2*f),b=new Uint8Array(4*f),w=new Float32Array(4*f);x.forEach((function(t,e){if(t){var r=t.positions,n=t.count,i=t.offset,a=t.color,o=t.errors;n&&(b.set(a,4*i),w.set(o,4*i),g.set(r,2*i))}}));var T=u(g);c(T);var k=h(g,T);p(k),d(b),m(w)}}}function k(){c.destroy(),p.destroy(),d.destroy(),m.destroy(),g.destroy()}};var f=[[1,0,0,1,0,0],[1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,1,0,0],[1,0,0,1,0,0],[1,0,-1,0,0,1],[1,0,-1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,1],[1,0,-1,0,0,1],[-1,0,-1,0,0,1],[-1,0,-1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,1],[-1,0,-1,0,0,1],[0,1,1,0,0,0],[0,1,-1,0,0,0],[0,-1,-1,0,0,0],[0,-1,-1,0,0,0],[0,1,1,0,0,0],[0,-1,1,0,0,0],[0,1,0,-1,1,0],[0,1,0,-1,-1,0],[0,1,0,1,-1,0],[0,1,0,1,1,0],[0,1,0,-1,1,0],[0,1,0,1,-1,0],[0,-1,0,-1,1,0],[0,-1,0,-1,-1,0],[0,-1,0,1,-1,0],[0,-1,0,1,1,0],[0,-1,0,-1,1,0],[0,-1,0,1,-1,0]]},49478:function(t,e,r){\"use strict\";var n=r(162),i=r(78112),a=r(27976),o=r(6807),s=r(83473),l=r(25782),c=r(90956),u=r(51498),h=u.float32,f=u.fract32,p=r(93103),d=r(5137),m=r(33055);function g(t,e){if(!(this instanceof g))return new g(t,e);if(\"function\"==typeof t?(e||(e={}),e.regl=t):e=t,e.length&&(e.positions=e),!(t=e.regl).hasExtension(\"ANGLE_instanced_arrays\"))throw Error(\"regl-error2d: `ANGLE_instanced_arrays` extension should be enabled\");this.gl=t._gl,this.regl=t,this.passes=[],this.shaders=g.shaders.has(t)?g.shaders.get(t):g.shaders.set(t,g.createShaders(t)).get(t),this.update(e)}t.exports=g,g.dashMult=2,g.maxPatternLength=256,g.precisionThreshold=3e6,g.maxPoints=1e4,g.maxLines=2048,g.shaders=new p,g.createShaders=function(t){var e,r=t.buffer({usage:\"static\",type:\"float\",data:[0,1,0,0,1,1,1,0]}),n={primitive:\"triangle strip\",instances:t.prop(\"count\"),count:4,offset:0,uniforms:{miterMode:function(t,e){return\"round\"===e.join?2:1},miterLimit:t.prop(\"miterLimit\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),thickness:t.prop(\"thickness\"),dashTexture:t.prop(\"dashTexture\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),dashLength:t.prop(\"dashLength\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]},depth:t.prop(\"depth\")},blend:{enable:!0,color:[0,0,0,0],equation:{rgb:\"add\",alpha:\"add\"},func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},depth:{enable:function(t,e){return!e.overlay}},stencil:{enable:!1},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\")},i=t(a({vert:\"\\nprecision highp float;\\n\\nattribute vec2 aCoord, bCoord, aCoordFract, bCoordFract;\\nattribute vec4 color;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\\n\\t// the order is important\\n\\treturn position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n}\\n\\nvoid main() {\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineOffset = lineTop * 2. - 1.;\\n\\n\\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\\n\\ttangent = normalize(diff * scale * viewport.zw);\\n\\tvec2 normal = vec2(-tangent.y, tangent.x);\\n\\n\\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\\n\\t\\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\\n\\n\\t\\t+ thickness * normal * .5 * lineOffset / viewport.zw;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n}\\n\",frag:\"\\nprecision highp float;\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvoid main() {\\n\\tfloat alpha = 1.;\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\",attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:16,divisor:1},color:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1}}},n));try{e=t(a({cull:{enable:!0,face:\"back\"},vert:\"\\nprecision highp float;\\n\\nattribute vec2 aCoord, bCoord, nextCoord, prevCoord;\\nattribute vec4 aColor, bColor;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, translate;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\nuniform float miterLimit, miterMode;\\n\\nvarying vec4 fragColor;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 tangent;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nconst float REVERSE_THRESHOLD = -.875;\\nconst float MIN_DIFF = 1e-6;\\n\\n// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\\n// TODO: precalculate dot products, normalize things beforehead etc.\\n// TODO: refactor to rectangular algorithm\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nbool isNaN( float val ){\\n  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\\n}\\n\\nvoid main() {\\n\\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\\n\\n  vec2 adjustedScale;\\n  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\\n  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\\n\\n  vec2 scaleRatio = adjustedScale * viewport.zw;\\n\\tvec2 normalWidth = thickness / scaleRatio;\\n\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineBot = 1. - lineTop;\\n\\n\\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\\n\\n\\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\\n\\n\\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\\n\\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\\n\\n\\n\\tvec2 prevDiff = aCoord - prevCoord;\\n\\tvec2 currDiff = bCoord - aCoord;\\n\\tvec2 nextDiff = nextCoord - bCoord;\\n\\n\\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\\n\\tvec2 currTangent = normalize(currDiff * scaleRatio);\\n\\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\\n\\n\\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\\n\\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\\n\\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\\n\\n\\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\\n\\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\\n\\n\\t// collapsed/unidirectional segment cases\\n\\t// FIXME: there should be more elegant solution\\n\\tvec2 prevTanDiff = abs(prevTangent - currTangent);\\n\\tvec2 nextTanDiff = abs(nextTangent - currTangent);\\n\\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\\n\\t\\tstartJoinDirection = currNormal;\\n\\t}\\n\\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\\n\\t\\tendJoinDirection = currNormal;\\n\\t}\\n\\tif (aCoord == bCoord) {\\n\\t\\tendJoinDirection = startJoinDirection;\\n\\t\\tcurrNormal = prevNormal;\\n\\t\\tcurrTangent = prevTangent;\\n\\t}\\n\\n\\ttangent = currTangent;\\n\\n\\t//calculate join shifts relative to normals\\n\\tfloat startJoinShift = dot(currNormal, startJoinDirection);\\n\\tfloat endJoinShift = dot(currNormal, endJoinDirection);\\n\\n\\tfloat startMiterRatio = abs(1. / startJoinShift);\\n\\tfloat endMiterRatio = abs(1. / endJoinShift);\\n\\n\\tvec2 startJoin = startJoinDirection * startMiterRatio;\\n\\tvec2 endJoin = endJoinDirection * endMiterRatio;\\n\\n\\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\\n\\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\\n\\tstartBotJoin = -startTopJoin;\\n\\n\\tendTopJoin = sign(endJoinShift) * endJoin * .5;\\n\\tendBotJoin = -endTopJoin;\\n\\n\\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\\n\\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\\n\\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\\n\\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\\n\\n\\t//miter anti-clipping\\n\\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\\n\\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\\n\\n\\t//prevent close to reverse direction switch\\n\\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\n\\tif (prevReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\\n\\t\\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\tbTopCoord -= normalWidth * endTopJoin;\\n\\t\\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\\n\\t}\\n\\n\\tif (nextReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\\n\\t\\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\taBotCoord -= normalWidth * startBotJoin;\\n\\t\\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\\n\\t}\\n\\n\\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\\n\\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\\n\\n\\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\\n\\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\\n\\n\\t//position is normalized 0..1 coord on the screen\\n\\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\\n\\n\\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\n\\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\\n\\n\\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\\n\\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\\n\\n\\t//bevel miter cutoffs\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n\\n\\t//round miter cutoffs\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n}\\n\",frag:\"\\nprecision highp float;\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id, miterMode;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nvoid main() {\\n\\tfloat alpha = 1., distToStart, distToEnd;\\n\\tfloat cutoff = thickness * .5;\\n\\n\\t//bevel miter\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToStart + 1., 0.), 1.);\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToEnd + 1., 0.), 1.);\\n\\t\\t}\\n\\t}\\n\\n\\t// round miter\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - startCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - endCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\",attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1},bColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:4,divisor:1},prevCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:0,divisor:1},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},nextCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:24,divisor:1}}},n))}catch(t){e=i}return{fill:t({primitive:\"triangle\",elements:function(t,e){return e.triangles},offset:0,vert:\"\\nprecision highp float;\\n\\nattribute vec2 position, positionFract;\\n\\nuniform vec4 color;\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float pixelRatio, id;\\nuniform vec4 viewport;\\nuniform float opacity;\\n\\nvarying vec4 fragColor;\\n\\nconst float MAX_LINES = 256.;\\n\\nvoid main() {\\n\\tfloat depth = (MAX_LINES - 4. - id) / (MAX_LINES);\\n\\n\\tvec2 position = position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n\\tfragColor.a *= opacity;\\n}\\n\",frag:\"\\nprecision highp float;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n\\tgl_FragColor = fragColor;\\n}\\n\",uniforms:{scale:t.prop(\"scale\"),color:t.prop(\"fill\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]}},attributes:{position:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8},positionFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8}},blend:n.blend,depth:{enable:!1},scissor:n.scissor,stencil:n.stencil,viewport:n.viewport}),rect:i,miter:e}},g.defaults={dashes:null,join:\"miter\",miterLimit:1,thickness:10,cap:\"square\",color:\"black\",opacity:1,overlay:!1,viewport:null,range:null,close:!1,fill:null},g.prototype.render=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];e.length&&(t=this).update.apply(t,e),this.draw()},g.prototype.draw=function(){for(var t=this,e=[],r=arguments.length;r--;)e[r]=arguments[r];return(e.length?e:this.passes).forEach((function(e,r){var n;if(e&&Array.isArray(e))return(n=t).draw.apply(n,e);\"number\"==typeof e&&(e=t.passes[e]),e&&e.count>1&&e.opacity&&(t.regl._refresh(),e.fill&&e.triangles&&e.triangles.length>2&&t.shaders.fill(e),e.thickness&&(e.scale[0]*e.viewport.width>g.precisionThreshold||e.scale[1]*e.viewport.height>g.precisionThreshold||\"rect\"===e.join||!e.join&&(e.thickness<=2||e.count>=g.maxPoints)?t.shaders.rect(e):t.shaders.miter(e)))})),this},g.prototype.update=function(t){var e=this;if(t){null!=t.length?\"number\"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var r=this.regl,u=this.gl;if(t.forEach((function(t,p){var y=e.passes[p];if(void 0!==t)if(null!==t){if(\"number\"==typeof t[0]&&(t={positions:t}),t=o(t,{positions:\"positions points data coords\",thickness:\"thickness lineWidth lineWidths line-width linewidth width stroke-width strokewidth strokeWidth\",join:\"lineJoin linejoin join type mode\",miterLimit:\"miterlimit miterLimit\",dashes:\"dash dashes dasharray dash-array dashArray\",color:\"color colour stroke colors colours stroke-color strokeColor\",fill:\"fill fill-color fillColor\",opacity:\"alpha opacity\",overlay:\"overlay crease overlap intersect\",close:\"closed close closed-path closePath\",range:\"range dataBox\",viewport:\"viewport viewBox\",hole:\"holes hole hollow\",splitNull:\"splitNull\"}),y||(e.passes[p]=y={id:p,scale:null,scaleFract:null,translate:null,translateFract:null,count:0,hole:[],depth:0,dashLength:1,dashTexture:r.texture({channels:1,data:new Uint8Array([255]),width:1,height:1,mag:\"linear\",min:\"linear\"}),colorBuffer:r.buffer({usage:\"dynamic\",type:\"uint8\",data:new Uint8Array}),positionBuffer:r.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array}),positionFractBuffer:r.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array})},t=a({},g.defaults,t)),null!=t.thickness&&(y.thickness=parseFloat(t.thickness)),null!=t.opacity&&(y.opacity=parseFloat(t.opacity)),null!=t.miterLimit&&(y.miterLimit=parseFloat(t.miterLimit)),null!=t.overlay&&(y.overlay=!!t.overlay,p<g.maxLines&&(y.depth=2*(g.maxLines-1-p%g.maxLines)/g.maxLines-1)),null!=t.join&&(y.join=t.join),null!=t.hole&&(y.hole=t.hole),null!=t.fill&&(y.fill=t.fill?n(t.fill,\"uint8\"):null),null!=t.viewport&&(y.viewport=d(t.viewport)),y.viewport||(y.viewport=d([u.drawingBufferWidth,u.drawingBufferHeight])),null!=t.close&&(y.close=t.close),null===t.positions&&(t.positions=[]),t.positions){var v,x;if(t.positions.x&&t.positions.y){var _=t.positions.x,b=t.positions.y;x=y.count=Math.max(_.length,b.length),v=new Float64Array(2*x);for(var w=0;w<x;w++)v[2*w]=_[w],v[2*w+1]=b[w]}else v=s(t.positions,\"float64\"),x=y.count=Math.floor(v.length/2);var T=y.bounds=i(v,2);if(y.fill){for(var k=[],A={},M=0,S=0,E=0,C=y.count;S<C;S++){var L=v[2*S],I=v[2*S+1];isNaN(L)||isNaN(I)||null==L||null==I?(L=v[2*M],I=v[2*M+1],A[S]=M):M=S,k[E++]=L,k[E++]=I}if(t.splitNull){y.count-1 in A||(A[y.count]=y.count-1);var P=Object.keys(A).map(Number).sort((function(t,e){return t-e})),z=[],O=0,D=null!=y.hole?y.hole[0]:null;if(null!=D){var R=m(P,(function(t){return t>=D}));(P=P.slice(0,R)).push(D)}for(var F=function(t){var e=k.slice(2*O,2*P[t]).concat(D?k.slice(2*D):[]),r=(y.hole||[]).map((function(e){return e-D+(P[t]-O)})),n=l(e,r);n=n.map((function(e){return e+O+(e+O<P[t]?0:D-P[t])})),z.push.apply(z,n),O=P[t]+1},B=0;B<P.length;B++)F(B);for(var N=0,j=z.length;N<j;N++)null!=A[z[N]]&&(z[N]=A[z[N]]);y.triangles=z}else{for(var U=l(k,y.hole||[]),V=0,q=U.length;V<q;V++)null!=A[U[V]]&&(U[V]=A[U[V]]);y.triangles=U}}var H=new Float64Array(v);c(H,2,T);var G=new Float64Array(2*x+6);y.close?v[0]===v[2*x-2]&&v[1]===v[2*x-1]?(G[0]=H[2*x-4],G[1]=H[2*x-3]):(G[0]=H[2*x-2],G[1]=H[2*x-1]):(G[0]=H[0],G[1]=H[1]),G.set(H,2),y.close?v[0]===v[2*x-2]&&v[1]===v[2*x-1]?(G[2*x+2]=H[2],G[2*x+3]=H[3],y.count-=1):(G[2*x+2]=H[0],G[2*x+3]=H[1],G[2*x+4]=H[2],G[2*x+5]=H[3]):(G[2*x+2]=H[2*x-2],G[2*x+3]=H[2*x-1],G[2*x+4]=H[2*x-2],G[2*x+5]=H[2*x-1]);var Z=h(G);y.positionBuffer(Z);var W=f(G,Z);y.positionFractBuffer(W)}if(t.range?y.range=t.range:y.range||(y.range=y.bounds),(t.range||t.positions)&&y.count){var Y=y.bounds,X=Y[2]-Y[0],$=Y[3]-Y[1],J=y.range[2]-y.range[0],K=y.range[3]-y.range[1];y.scale=[X/J,$/K],y.translate=[-y.range[0]/J+Y[0]/J||0,-y.range[1]/K+Y[1]/K||0],y.scaleFract=f(y.scale),y.translateFract=f(y.translate)}if(t.dashes){var Q,tt=0;if(!t.dashes||t.dashes.length<2)tt=1,Q=new Uint8Array([255,255,255,255,255,255,255,255]);else{tt=0;for(var et=0;et<t.dashes.length;++et)tt+=t.dashes[et];Q=new Uint8Array(tt*g.dashMult);for(var rt=0,nt=255,it=0;it<2;it++)for(var at=0;at<t.dashes.length;++at){for(var ot=0,st=t.dashes[at]*g.dashMult*.5;ot<st;++ot)Q[rt++]=nt;nt^=255}}y.dashLength=tt,y.dashTexture({channels:1,data:Q,width:Q.length,height:1,mag:\"linear\",min:\"linear\"},0,0)}if(t.color){var lt=y.count,ct=t.color;ct||(ct=\"transparent\");var ut=new Uint8Array(4*lt+4);if(Array.isArray(ct)&&\"number\"!=typeof ct[0]){for(var ht=0;ht<lt;ht++){var ft=n(ct[ht],\"uint8\");ut.set(ft,4*ht)}ut.set(n(ct[0],\"uint8\"),4*lt)}else for(var pt=n(ct,\"uint8\"),dt=0;dt<lt+1;dt++)ut.set(pt,4*dt);y.colorBuffer({usage:\"dynamic\",type:\"uint8\",data:ut})}}else e.passes[p]=null})),t.length<this.passes.length){for(var p=t.length;p<this.passes.length;p++){var y=this.passes[p];y&&(y.colorBuffer.destroy(),y.positionBuffer.destroy(),y.dashTexture.destroy())}this.passes.length=t.length}for(var v=[],x=0;x<this.passes.length;x++)null!==this.passes[x]&&v.push(this.passes[x]);return this.passes=v,this}},g.prototype.destroy=function(){return this.passes.forEach((function(t){t.colorBuffer.destroy(),t.positionBuffer.destroy(),t.dashTexture.destroy()})),this.passes.length=0,this}},62172:function(t,e,r){\"use strict\";function n(t,e){return function(t){if(Array.isArray(t))return t}(t)||function(t,e){var r=null==t?null:\"undefined\"!=typeof Symbol&&t[Symbol.iterator]||t[\"@@iterator\"];if(null!=r){var n,i,a,o,s=[],l=!0,c=!1;try{if(a=(r=r.call(t)).next,0===e){if(Object(r)!==r)return;l=!1}else for(;!(l=(n=a.call(r)).done)&&(s.push(n.value),s.length!==e);l=!0);}catch(t){c=!0,i=t}finally{try{if(!l&&null!=r.return&&(o=r.return(),Object(o)!==o))return}finally{if(c)throw i}}return s}}(t,e)||i(t,e)||function(){throw new TypeError(\"Invalid attempt to destructure non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\")}()}function i(t,e){if(t){if(\"string\"==typeof t)return a(t,e);var r=Object.prototype.toString.call(t).slice(8,-1);return\"Object\"===r&&t.constructor&&(r=t.constructor.name),\"Map\"===r||\"Set\"===r?Array.from(t):\"Arguments\"===r||/^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(r)?a(t,e):void 0}}function a(t,e){(null==e||e>t.length)&&(e=t.length);for(var r=0,n=new Array(e);r<e;r++)n[r]=t[r];return n}var o=r(162),s=r(78112),l=r(46762),c=r(27549),u=r(27976),h=r(76765),f=r(6807),p=r(79788),d=r(83473),m=r(39488),g=r(51498),y=r(5137),v=x;function x(t,e){var r=this;if(!(this instanceof x))return new x(t,e);\"function\"==typeof t?(e||(e={}),e.regl=t):(e=t,t=null),e&&e.length&&(e.positions=e);var n,i=(t=e.regl)._gl,a=[];this.tooManyColors=m,n=t.texture({data:new Uint8Array(1020),width:255,height:1,type:\"uint8\",format:\"rgba\",wrapS:\"clamp\",wrapT:\"clamp\",mag:\"nearest\",min:\"nearest\"}),u(this,{regl:t,gl:i,groups:[],markerCache:[null],markerTextures:[null],palette:a,paletteIds:{},paletteTexture:n,maxColors:255,maxSize:100,canvas:i.canvas}),this.update(e);var o={uniforms:{constPointSize:!!e.constPointSize,opacity:t.prop(\"opacity\"),paletteSize:function(t,e){return[r.tooManyColors?0:255,n.height]},pixelRatio:t.context(\"pixelRatio\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translate:t.prop(\"translate\"),translateFract:t.prop(\"translateFract\"),markerTexture:t.prop(\"markerTexture\"),paletteTexture:n},attributes:{x:function(t,e){return e.xAttr||{buffer:e.positionBuffer,stride:8,offset:0}},y:function(t,e){return e.yAttr||{buffer:e.positionBuffer,stride:8,offset:4}},xFract:function(t,e){return e.xAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:0}},yFract:function(t,e){return e.yAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:4}},size:function(t,e){return e.size.length?{buffer:e.sizeBuffer,stride:2,offset:0}:{constant:[Math.round(255*e.size/r.maxSize)]}},borderSize:function(t,e){return e.borderSize.length?{buffer:e.sizeBuffer,stride:2,offset:1}:{constant:[Math.round(255*e.borderSize/r.maxSize)]}},colorId:function(t,e){return e.color.length?{buffer:e.colorBuffer,stride:r.tooManyColors?8:4,offset:0}:{constant:r.tooManyColors?a.slice(4*e.color,4*e.color+4):[e.color]}},borderColorId:function(t,e){return e.borderColor.length?{buffer:e.colorBuffer,stride:r.tooManyColors?8:4,offset:r.tooManyColors?4:2}:{constant:r.tooManyColors?a.slice(4*e.borderColor,4*e.borderColor+4):[e.borderColor]}},isActive:function(t,e){return!0===e.activation?{constant:[1]}:e.activation?e.activation:{constant:[0]}}},blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\"),stencil:{enable:!1},depth:{enable:!1},elements:t.prop(\"elements\"),count:t.prop(\"count\"),offset:t.prop(\"offset\"),primitive:\"points\"},s=u({},o);s.frag=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform float opacity;\\nuniform sampler2D markerTexture;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nfloat smoothStep(float x, float y) {\\n  return 1.0 / (1.0 + exp(50.0*(x - y)));\\n}\\n\\nvoid main() {\\n  float dist = texture2D(markerTexture, gl_PointCoord).r, delta = fragWidth;\\n\\n  // max-distance alpha\\n  if (dist < 0.003) discard;\\n\\n  // null-border case\\n  if (fragBorderColorLevel == fragColorLevel || fragBorderColor.a == 0.) {\\n    float colorAmt = smoothstep(.5 - delta, .5 + delta, dist);\\n    gl_FragColor = vec4(fragColor.rgb, colorAmt * fragColor.a * opacity);\\n  }\\n  else {\\n    float borderColorAmt = smoothstep(fragBorderColorLevel - delta, fragBorderColorLevel + delta, dist);\\n    float colorAmt = smoothstep(fragColorLevel - delta, fragColorLevel + delta, dist);\\n\\n    vec4 color = fragBorderColor;\\n    color.a *= borderColorAmt;\\n    color = mix(color, fragColor, colorAmt);\\n    color.a *= opacity;\\n\\n    gl_FragColor = color;\\n  }\\n\\n}\\n\"]),s.vert=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\n// `invariant` effectively turns off optimizations for the position.\\n// We need this because -fast-math on M1 Macs is re-ordering\\n// floating point operations in a way that causes floating point\\n// precision limits to put points in the wrong locations.\\ninvariant gl_Position;\\n\\nuniform bool constPointSize;\\nuniform float pixelRatio;\\nuniform vec2 scale, scaleFract, translate, translateFract, paletteSize;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\nconst float borderLevel = .5;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragPointSize, fragBorderRadius, fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = 2. * size * pointSizeScale;\\n  fragPointSize = size * pixelRatio;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragColor = color;\\n  fragBorderColor = borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n\\n  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\\n  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\\n}\\n\"]),this.drawMarker=t(s);var l=u({},o);l.frag=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nuniform float opacity;\\n\\nfloat smoothStep(float edge0, float edge1, float x) {\\n\\tfloat t;\\n\\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\\n\\treturn t * t * (3.0 - 2.0 * t);\\n}\\n\\nvoid main() {\\n\\tfloat radius, alpha = 1.0, delta = fragWidth;\\n\\n\\tradius = length(2.0 * gl_PointCoord.xy - 1.0);\\n\\n\\tif (radius > 1.0 + delta) {\\n\\t\\tdiscard;\\n\\t}\\n\\n\\talpha -= smoothstep(1.0 - delta, 1.0 + delta, radius);\\n\\n\\tfloat borderRadius = fragBorderRadius;\\n\\tfloat ratio = smoothstep(borderRadius - delta, borderRadius + delta, radius);\\n\\tvec4 color = mix(fragColor, fragBorderColor, ratio);\\n\\tcolor.a *= alpha * opacity;\\n\\tgl_FragColor = color;\\n}\\n\"]),l.vert=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\n// `invariant` effectively turns off optimizations for the position.\\n// We need this because -fast-math on M1 Macs is re-ordering\\n// floating point operations in a way that causes floating point\\n// precision limits to put points in the wrong locations.\\ninvariant gl_Position;\\n\\nuniform bool constPointSize;\\nuniform float pixelRatio;\\nuniform vec2 paletteSize, scale, scaleFract, translate, translateFract;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = (size + borderSize) * pointSizeScale;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragBorderRadius = 1. - 2. * borderSize / (size + borderSize);\\n  fragColor = color;\\n  fragBorderColor = borderColor.a == 0. || borderSize == 0. ? vec4(color.rgb, 0.) : borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n}\\n\"]),m&&(l.frag=l.frag.replace(\"smoothstep\",\"smoothStep\"),s.frag=s.frag.replace(\"smoothstep\",\"smoothStep\")),this.drawCircle=t(l)}x.defaults={color:\"black\",borderColor:\"transparent\",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4},x.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},x.prototype.draw=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];var i=this.groups;if(1===r.length&&Array.isArray(r[0])&&(null===r[0][0]||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var a=0;a<r.length;a++)this.drawItem(a,r[a]);else i.forEach((function(e,r){t.drawItem(r)}));return this},x.prototype.drawItem=function(t,e){var r,n=this.groups,o=n[t];if(\"number\"==typeof e&&(t=e,o=n[e],e=null),o&&o.count&&o.opacity){o.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,o,e));for(var s=[],l=1;l<o.activation.length;l++)o.activation[l]&&(!0===o.activation[l]||o.activation[l].data.length)&&s.push.apply(s,function(t){if(Array.isArray(t))return a(t)}(r=this.getMarkerDrawOptions(l,o,e))||function(t){if(\"undefined\"!=typeof Symbol&&null!=t[Symbol.iterator]||null!=t[\"@@iterator\"])return Array.from(t)}(r)||i(r)||function(){throw new TypeError(\"Invalid attempt to spread non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\")}());s.length&&this.drawMarker(s)}},x.prototype.getMarkerDrawOptions=function(t,e,r){var i=e.range,a=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,c=e.count;if(this.regl,!a)return r?[u({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[u({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var h=[],f=a.range(i,{lod:!0,px:[(i[2]-i[0])/o.width,(i[3]-i[1])/o.height]});if(r){for(var p=s[t].data,d=new Uint8Array(c),m=0;m<r.length;m++){var g=r[m];d[g]=p?p[g]:1}l.subdata(d)}for(var y=f.length;y--;){var v=n(f[y],2),x=v[0],_=v[1];h.push(u({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:_-x}))}return h},x.prototype.update=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];if(r.length){1===r.length&&Array.isArray(r[0])&&(r=r[0]);var i=this.groups,a=this.gl,o=this.regl,l=this.maxSize,h=this.maxColors,m=this.palette;this.groups=i=r.map((function(e,r){var n=i[r];if(void 0===e)return n;null===e?e={positions:null}:\"function\"==typeof e?e={ondraw:e}:\"number\"==typeof e[0]&&(e={positions:e}),null===(e=f(e,{positions:\"positions data points\",snap:\"snap cluster lod tree\",size:\"sizes size radius\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",color:\"colors color fill fill-color fillColor\",borderColor:\"borderColors borderColor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range dataBox databox\",viewport:\"viewport viewPort viewBox viewbox\",opacity:\"opacity alpha transparency\",bounds:\"bound bounds boundaries limits\",tooManyColors:\"tooManyColors palette paletteMode optimizePalette enablePalette\"})).positions&&(e.positions=[]),null!=e.tooManyColors&&(t.tooManyColors=e.tooManyColors),n||(i[r]=n={id:r,scale:null,translate:null,scaleFract:null,translateFract:null,activation:[],selectionBuffer:o.buffer({data:new Uint8Array(0),usage:\"stream\",type:\"uint8\"}),sizeBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),colorBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),positionBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"}),positionFractBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"})},e=u({},x.defaults,e)),e.positions&&!(\"marker\"in e)&&(e.marker=n.marker,delete n.marker),e.marker&&!(\"positions\"in e)&&(e.positions=n.positions,delete n.positions);var v=0,_=0;if(p(n,e,[{snap:!0,size:function(t,e){return null==t&&(t=x.defaults.size),v+=t&&t.length?1:0,t},borderSize:function(t,e){return null==t&&(t=x.defaults.borderSize),v+=t&&t.length?1:0,t},opacity:parseFloat,color:function(e,r){return null==e&&(e=x.defaults.color),e=t.updateColor(e),_++,e},borderColor:function(e,r){return null==e&&(e=x.defaults.borderColor),e=t.updateColor(e),_++,e},bounds:function(t,e,r){return\"range\"in r||(r.range=null),t},positions:function(t,e,r){var n=e.snap,i=e.positionBuffer,a=e.positionFractBuffer,l=e.selectionBuffer;if(t.x||t.y)return t.x.length?e.xAttr={buffer:o.buffer(t.x),offset:0,stride:4,count:t.x.length}:e.xAttr={buffer:t.x.buffer,offset:4*t.x.offset||0,stride:4*(t.x.stride||1),count:t.x.count},t.y.length?e.yAttr={buffer:o.buffer(t.y),offset:0,stride:4,count:t.y.length}:e.yAttr={buffer:t.y.buffer,offset:4*t.y.offset||0,stride:4*(t.y.stride||1),count:t.y.count},e.count=Math.max(e.xAttr.count,e.yAttr.count),t;t=d(t,\"float64\");var u=e.count=Math.floor(t.length/2),h=e.bounds=u?s(t,2):null;if(r.range||e.range||(delete e.range,r.range=h),r.marker||e.marker||(delete e.marker,r.marker=null),n&&(!0===n||u>n)?e.tree=c(t,{bounds:h}):n&&n.length&&(e.tree=n),e.tree){var f={primitive:\"points\",usage:\"static\",data:e.tree,type:\"uint32\"};e.elements?e.elements(f):e.elements=o.elements(f)}var p=g.float32(t);return i({data:p,usage:\"dynamic\"}),a({data:g.fract32(t,p),usage:\"dynamic\"}),l({data:new Uint8Array(u),type:\"uint8\",usage:\"stream\"}),t}},{marker:function(e,r,n){var i=r.activation;if(i.forEach((function(t){return t&&t.destroy&&t.destroy()})),i.length=0,e&&\"number\"!=typeof e[0]){for(var a=[],s=0,l=Math.min(e.length,r.count);s<l;s++){var c=t.addMarker(e[s]);a[c]||(a[c]=new Uint8Array(r.count)),a[c][s]=1}for(var u=0;u<a.length;u++)if(a[u]){var h={data:a[u],type:\"uint8\",usage:\"static\"};i[u]?i[u](h):i[u]=o.buffer(h),i[u].data=a[u]}}else i[t.addMarker(e)]=!0;return e},range:function(t,e,r){var n=e.bounds;if(n)return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=g.fract(e.scale),e.translateFract=g.fract(e.translate),t},viewport:function(t){return y(t||[a.drawingBufferWidth,a.drawingBufferHeight])}}]),v){var b=n,w=b.count,T=b.size,k=b.borderSize,A=b.sizeBuffer,M=new Uint8Array(2*w);if(T.length||k.length)for(var S=0;S<w;S++)M[2*S]=Math.round(255*(null==T[S]?T:T[S])/l),M[2*S+1]=Math.round(255*(null==k[S]?k:k[S])/l);A({data:M,usage:\"dynamic\"})}if(_){var E,C=n,L=C.count,I=C.color,P=C.borderColor,z=C.colorBuffer;if(t.tooManyColors){if(I.length||P.length){E=new Uint8Array(8*L);for(var O=0;O<L;O++){var D=I[O];E[8*O]=m[4*D],E[8*O+1]=m[4*D+1],E[8*O+2]=m[4*D+2],E[8*O+3]=m[4*D+3];var R=P[O];E[8*O+4]=m[4*R],E[8*O+5]=m[4*R+1],E[8*O+6]=m[4*R+2],E[8*O+7]=m[4*R+3]}}}else if(I.length||P.length){E=new Uint8Array(4*L+2);for(var F=0;F<L;F++)null!=I[F]&&(E[4*F]=I[F]%h,E[4*F+1]=Math.floor(I[F]/h)),null!=P[F]&&(E[4*F+2]=P[F]%h,E[4*F+3]=Math.floor(P[F]/h))}z({data:E||new Uint8Array(0),type:\"uint8\",usage:\"dynamic\"})}return n}))}},x.prototype.addMarker=function(t){var e,r=this.markerTextures,n=this.regl,i=this.markerCache,a=null==t?0:i.indexOf(t);if(a>=0)return a;if(t instanceof Uint8Array||t instanceof Uint8ClampedArray)e=t;else{e=new Uint8Array(t.length);for(var o=0,s=t.length;o<s;o++)e[o]=255*t[o]}var l=Math.floor(Math.sqrt(e.length));return a=r.length,i.push(t),r.push(n.texture({channels:1,data:e,radius:l,mag:\"linear\",min:\"linear\"})),a},x.prototype.updateColor=function(t){var e=this.paletteIds,r=this.palette,n=this.maxColors;Array.isArray(t)||(t=[t]);var i=[];if(\"number\"==typeof t[0]){var a=[];if(Array.isArray(t))for(var s=0;s<t.length;s+=4)a.push(t.slice(s,s+4));else for(var c=0;c<t.length;c+=4)a.push(t.subarray(c,c+4));t=a}for(var u=0;u<t.length;u++){var h=t[u];h=o(h,\"uint8\");var f=l(h,!1);if(null==e[f]){var p=r.length;e[f]=Math.floor(p/4),r[p]=h[0],r[p+1]=h[1],r[p+2]=h[2],r[p+3]=h[3]}i[u]=e[f]}return!this.tooManyColors&&r.length>4*n&&(this.tooManyColors=!0),this.updatePalette(r),1===i.length?i[0]:i},x.prototype.updatePalette=function(t){if(!this.tooManyColors){var e=this.maxColors,r=this.paletteTexture,n=Math.ceil(.25*t.length/e);if(n>1)for(var i=.25*(t=t.slice()).length%e;i<n*e;i++)t.push(0,0,0,0);r.height<n&&r.resize(e,n),r.subimage({width:Math.min(.25*t.length,e),height:n,data:t},0,0)}},x.prototype.destroy=function(){return this.groups.forEach((function(t){t.sizeBuffer.destroy(),t.positionBuffer.destroy(),t.positionFractBuffer.destroy(),t.colorBuffer.destroy(),t.activation.forEach((function(t){return t&&t.destroy&&t.destroy()})),t.selectionBuffer.destroy(),t.elements&&t.elements.destroy()})),this.groups.length=0,this.paletteTexture.destroy(),this.markerTextures.forEach((function(t){return t&&t.destroy&&t.destroy()})),this};var _=r(27976);t.exports=function(t,e){var r=new v(t,e),n=r.render.bind(r);return _(n,{render:n,update:r.update.bind(r),draw:r.draw.bind(r),destroy:r.destroy.bind(r),regl:r.regl,gl:r.gl,canvas:r.gl.canvas,groups:r.groups,markers:r.markerCache,palette:r.palette}),n}},31239:function(t,e,r){\"use strict\";var n=r(62172),i=r(6807),a=r(78112),o=r(16494),s=r(27902),l=r(5137),c=r(83473);function u(t,e){if(!(this instanceof u))return new u(t,e);this.traces=[],this.passes={},this.regl=t,this.scatter=n(t),this.canvas=this.scatter.canvas}function h(t,e,r){return(null!=t.id?t.id:t)<<16|(255&e)<<8|255&r}function f(t,e,r){var n,i,a,o,s=t[e],l=t[r];return s.length>2?(s[0],s[2],n=s[1],i=s[3]):s.length?(n=s[0],i=s[1]):(s.x,n=s.y,s.x,s.width,i=s.y+s.height),l.length>2?(a=l[0],o=l[2],l[1],l[3]):l.length?(a=l[0],o=l[1]):(a=l.x,l.y,o=l.x+l.width,l.y,l.height),[a,n,o,i]}function p(t){if(\"number\"==typeof t)return[t,t,t,t];if(2===t.length)return[t[0],t[1],t[0],t[1]];var e=l(t);return[e.x,e.y,e.x+e.width,e.y+e.height]}t.exports=u,u.prototype.render=function(){for(var t,e=this,r=[],n=arguments.length;n--;)r[n]=arguments[n];return r.length&&(t=this).update.apply(t,r),this.regl.attributes.preserveDrawingBuffer?this.draw():(this.dirty?null==this.planned&&(this.planned=o((function(){e.draw(),e.dirty=!0,e.planned=null}))):(this.draw(),this.dirty=!0,o((function(){e.dirty=!1}))),this)},u.prototype.update=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=0;n<e.length;n++)this.updateItem(n,e[n]);this.traces=this.traces.filter(Boolean);for(var i=[],a=0,o=0;o<this.traces.length;o++){for(var s=this.traces[o],l=this.traces[o].passes,c=0;c<l.length;c++)i.push(this.passes[l[c]]);s.passOffset=a,a+=s.passes.length}return(t=this.scatter).update.apply(t,i),this}},u.prototype.updateItem=function(t,e){var r=this.regl;if(null===e)return this.traces[t]=null,this;if(!e)return this;var n,o=i(e,{data:\"data items columns rows values dimensions samples x\",snap:\"snap cluster\",size:\"sizes size radius\",color:\"colors color fill fill-color fillColor\",opacity:\"opacity alpha transparency opaque\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",borderColor:\"borderColors borderColor bordercolor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range ranges databox dataBox\",viewport:\"viewport viewBox viewbox\",domain:\"domain domains area areas\",padding:\"pad padding paddings pads margin margins\",transpose:\"transpose transposed\",diagonal:\"diagonal diag showDiagonal\",upper:\"upper up top upperhalf upperHalf showupperhalf showUpper showUpperHalf\",lower:\"lower low bottom lowerhalf lowerHalf showlowerhalf showLowerHalf showLower\"}),s=this.traces[t]||(this.traces[t]={id:t,buffer:r.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array}),color:\"black\",marker:null,size:12,borderColor:\"transparent\",borderSize:1,viewport:l([r._gl.drawingBufferWidth,r._gl.drawingBufferHeight]),padding:[0,0,0,0],opacity:1,diagonal:!0,upper:!0,lower:!0});if(null!=o.color&&(s.color=o.color),null!=o.size&&(s.size=o.size),null!=o.marker&&(s.marker=o.marker),null!=o.borderColor&&(s.borderColor=o.borderColor),null!=o.borderSize&&(s.borderSize=o.borderSize),null!=o.opacity&&(s.opacity=o.opacity),o.viewport&&(s.viewport=l(o.viewport)),null!=o.diagonal&&(s.diagonal=o.diagonal),null!=o.upper&&(s.upper=o.upper),null!=o.lower&&(s.lower=o.lower),o.data){s.buffer(c(o.data)),s.columns=o.data.length,s.count=o.data[0].length,s.bounds=[];for(var u=0;u<s.columns;u++)s.bounds[u]=a(o.data[u],1)}o.range&&(s.range=o.range,n=s.range&&\"number\"!=typeof s.range[0]),o.domain&&(s.domain=o.domain);var d=!1;null!=o.padding&&(Array.isArray(o.padding)&&o.padding.length===s.columns&&\"number\"==typeof o.padding[o.padding.length-1]?(s.padding=o.padding.map(p),d=!0):s.padding=p(o.padding));var m=s.columns,g=s.count,y=s.viewport.width,v=s.viewport.height,x=s.viewport.x,_=s.viewport.y,b=y/m,w=v/m;s.passes=[];for(var T=0;T<m;T++)for(var k=0;k<m;k++)if((s.diagonal||k!==T)&&(s.upper||!(T>k))&&(s.lower||!(T<k))){var A=h(s.id,T,k),M=this.passes[A]||(this.passes[A]={});if(o.data&&(o.transpose?M.positions={x:{buffer:s.buffer,offset:k,count:g,stride:m},y:{buffer:s.buffer,offset:T,count:g,stride:m}}:M.positions={x:{buffer:s.buffer,offset:k*g,count:g},y:{buffer:s.buffer,offset:T*g,count:g}},M.bounds=f(s.bounds,T,k)),o.domain||o.viewport||o.data){var S=d?f(s.padding,T,k):s.padding;if(s.domain){var E=f(s.domain,T,k),C=E[0],L=E[1],I=E[2],P=E[3];M.viewport=[x+C*y+S[0],_+L*v+S[1],x+I*y-S[2],_+P*v-S[3]]}else M.viewport=[x+k*b+b*S[0],_+T*w+w*S[1],x+(k+1)*b-b*S[2],_+(T+1)*w-w*S[3]]}o.color&&(M.color=s.color),o.size&&(M.size=s.size),o.marker&&(M.marker=s.marker),o.borderSize&&(M.borderSize=s.borderSize),o.borderColor&&(M.borderColor=s.borderColor),o.opacity&&(M.opacity=s.opacity),o.range&&(M.range=n?f(s.range,T,k):s.range||M.bounds),s.passes.push(A)}return this},u.prototype.draw=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=[],i=0;i<e.length;i++)if(\"number\"==typeof e[i]){var a=this.traces[e[i]],o=a.passes,l=a.passOffset;n.push.apply(n,s(l,l+o.length))}else if(e[i].length){var c=e[i],u=this.traces[i],h=u.passes,f=u.passOffset;h=h.map((function(t,e){n[f+e]=c}))}(t=this.scatter).draw.apply(t,n)}else this.scatter.draw();return this},u.prototype.destroy=function(){return 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t},toMonthIndex:function(t,e,r){var i=this.intercalaryMonth(t);if(r&&e!==i||e<1||e>12)throw n.local.invalidMonth.replace(/\\{0\\}/,this.local.name);return i?!r&&e<=i?e-1:e:e-1},toChineseMonth:function(t,e){t.year&&(e=(t=t.year()).month());var r=this.intercalaryMonth(t);if(e<0||e>(r?12:11))throw n.local.invalidMonth.replace(/\\{0\\}/,this.local.name);return r?e<r?e+1:e:e+1},intercalaryMonth:function(t){return t=this._validateYear(t),h[t-h[0]]>>13},isIntercalaryMonth:function(t,e){t.year&&(e=(t=t.year()).month());var r=this.intercalaryMonth(t);return!!r&&r===e},leapYear:function(t){return 0!==this.intercalaryMonth(t)},weekOfYear:function(t,e,r){var i,o=this._validateYear(t,n.local.invalidyear),s=f[o-f[0]],l=s>>9&4095,c=s>>5&15,u=31&s;(i=a.newDate(l,c,u)).add(4-(i.dayOfWeek()||7),\"d\");var h=this.toJD(t,e,r)-i.toJD();return 1+Math.floor(h/7)},monthsInYear:function(t){return this.leapYear(t)?13:12},daysInMonth:function(t,e){t.year&&(e=t.month(),t=t.year()),t=this._validateYear(t);var r=h[t-h[0]];if(e>(r>>13?12:11))throw n.local.invalidMonth.replace(/\\{0\\}/,this.local.name);return r&1<<12-e?30:29},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,s,r,n.local.invalidDate);t=this._validateYear(i.year()),e=i.month(),r=i.day();var o=this.isIntercalaryMonth(t,e),s=this.toChineseMonth(t,e),l=function(t,e,r,n,i){var a,o,s;if(\"object\"==typeof t)o=t,a=e||{};else{var l;if(!(\"number\"==typeof t&&t>=1888&&t<=2111))throw new Error(\"Lunar year outside range 1888-2111\");if(!(\"number\"==typeof e&&e>=1&&e<=12))throw new Error(\"Lunar month outside range 1 - 12\");if(!(\"number\"==typeof r&&r>=1&&r<=30))throw new Error(\"Lunar day outside range 1 - 30\");\"object\"==typeof n?(l=!1,a=n):(l=!!n,a={}),o={year:t,month:e,day:r,isIntercalary:l}}s=o.day-1;var c,u=h[o.year-h[0]],p=u>>13;c=p&&(o.month>p||o.isIntercalary)?o.month:o.month-1;for(var d=0;d<c;d++)s+=u&1<<12-d?30:29;var m=f[o.year-f[0]],g=new Date(m>>9&4095,(m>>5&15)-1,(31&m)+s);return a.year=g.getFullYear(),a.month=1+g.getMonth(),a.day=g.getDate(),a}(t,s,r,o);return a.toJD(l.year,l.month,l.day)},fromJD:function(t){var e=a.fromJD(t),r=function(t,e,r,n){var i,a;if(\"object\"==typeof t)i=t,a=e||{};else{if(!(\"number\"==typeof t&&t>=1888&&t<=2111))throw new Error(\"Solar year outside range 1888-2111\");if(!(\"number\"==typeof e&&e>=1&&e<=12))throw new Error(\"Solar month outside range 1 - 12\");if(!(\"number\"==typeof r&&r>=1&&r<=31))throw new Error(\"Solar day outside range 1 - 31\");i={year:t,month:e,day:r},a={}}var o=f[i.year-f[0]],s=i.year<<9|i.month<<5|i.day;a.year=s>=o?i.year:i.year-1,o=f[a.year-f[0]];var l,c=new Date(o>>9&4095,(o>>5&15)-1,31&o),u=new Date(i.year,i.month-1,i.day);l=Math.round((u-c)/864e5);var p,d=h[a.year-h[0]];for(p=0;p<13;p++){var m=d&1<<12-p?30:29;if(l<m)break;l-=m}var g=d>>13;return!g||p<g?(a.isIntercalary=!1,a.month=1+p):p===g?(a.isIntercalary=!0,a.month=p):(a.isIntercalary=!1,a.month=p),a.day=1+l,a}(e.year(),e.month(),e.day()),n=this.toMonthIndex(r.year,r.month,r.isIntercalary);return this.newDate(r.year,n,r.day)},fromString:function(t){var e=t.match(s),r=this._validateYear(+e[1]),n=+e[2],i=!!e[3],a=this.toMonthIndex(r,n,i),o=+e[4];return this.newDate(r,a,o)},add:function(t,e,r){var n=t.year(),i=t.month(),a=this.isIntercalaryMonth(n,i),s=this.toChineseMonth(n,i),l=Object.getPrototypeOf(o.prototype).add.call(this,t,e,r);if(\"y\"===r){var c=l.year(),u=l.month(),h=this.isIntercalaryMonth(c,s),f=a&&h?this.toMonthIndex(c,s,!0):this.toMonthIndex(c,s,!1);f!==u&&l.month(f)}return l}});var s=/^\\s*(-?\\d\\d\\d\\d|\\d\\d)[-/](\\d?\\d)([iI]?)[-/](\\d?\\d)/m,l=/^\\d?\\d[iI]?/m,c=/^闰?十?[一二三四五六七八九]?月/m,u=/^闰?十?[一二三四五六七八九]?/m;n.calendars.chinese=o;var 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n=r(24453),i=r(27976);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Coptic\",jdEpoch:1825029.5,daysPerMonth:[30,30,30,30,30,30,30,30,30,30,30,30,5],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Coptic\",epochs:[\"BAM\",\"AM\"],monthNames:[\"Thout\",\"Paopi\",\"Hathor\",\"Koiak\",\"Tobi\",\"Meshir\",\"Paremhat\",\"Paremoude\",\"Pashons\",\"Paoni\",\"Epip\",\"Mesori\",\"Pi Kogi Enavot\"],monthNamesShort:[\"Tho\",\"Pao\",\"Hath\",\"Koi\",\"Tob\",\"Mesh\",\"Pat\",\"Pad\",\"Pash\",\"Pao\",\"Epi\",\"Meso\",\"PiK\"],dayNames:[\"Tkyriaka\",\"Pesnau\",\"Pshoment\",\"Peftoou\",\"Ptiou\",\"Psoou\",\"Psabbaton\"],dayNamesShort:[\"Tky\",\"Pes\",\"Psh\",\"Pef\",\"Pti\",\"Pso\",\"Psa\"],dayNamesMin:[\"Tk\",\"Pes\",\"Psh\",\"Pef\",\"Pt\",\"Pso\",\"Psa\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()+(e.year()<0?1:0))%4==3||t%4==-1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return(t=i.year())<0&&t++,i.day()+30*(i.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return this.newDate(r,n,i)}}),n.calendars.coptic=a},28569:function(t,e,r){var n=r(24453),i=r(27976);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Discworld\",jdEpoch:1721425.5,daysPerMonth:[16,32,32,32,32,32,32,32,32,32,32,32,32],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Discworld\",epochs:[\"BUC\",\"UC\"],monthNames:[\"Ick\",\"Offle\",\"February\",\"March\",\"April\",\"May\",\"June\",\"Grune\",\"August\",\"Spune\",\"Sektober\",\"Ember\",\"December\"],monthNamesShort:[\"Ick\",\"Off\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Gru\",\"Aug\",\"Spu\",\"Sek\",\"Emb\",\"Dec\"],dayNames:[\"Sunday\",\"Octeday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Oct\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Oc\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:2,isRTL:!1}},leapYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),13},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),400},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/8)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]},daysInWeek:function(){return 8},dayOfWeek:function(t,e,r){return(this._validate(t,e,r,n.local.invalidDate).day()+1)%8},weekDay:function(t,e,r){var n=this.dayOfWeek(t,e,r);return n>=2&&n<=6},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return{century:o[Math.floor((i.year()-1)/100)+1]||\"\"}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year()+(i.year()<0?1:0),e=i.month(),(r=i.day())+(e>1?16:0)+(e>2?32*(e-2):0)+400*(t-1)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t+.5)-Math.floor(this.jdEpoch)-1;var e=Math.floor(t/400)+1;t-=400*(e-1),t+=t>15?16:0;var r=Math.floor(t/32)+1,n=t-32*(r-1)+1;return this.newDate(e<=0?e-1:e,r,n)}});var o={20:\"Fruitbat\",21:\"Anchovy\"};n.calendars.discworld=a},81133:function(t,e,r){var n=r(24453),i=r(27976);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Ethiopian\",jdEpoch:1724220.5,daysPerMonth:[30,30,30,30,30,30,30,30,30,30,30,30,5],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Ethiopian\",epochs:[\"BEE\",\"EE\"],monthNames:[\"Meskerem\",\"Tikemet\",\"Hidar\",\"Tahesas\",\"Tir\",\"Yekatit\",\"Megabit\",\"Miazia\",\"Genbot\",\"Sene\",\"Hamle\",\"Nehase\",\"Pagume\"],monthNamesShort:[\"Mes\",\"Tik\",\"Hid\",\"Tah\",\"Tir\",\"Yek\",\"Meg\",\"Mia\",\"Gen\",\"Sen\",\"Ham\",\"Neh\",\"Pag\"],dayNames:[\"Ehud\",\"Segno\",\"Maksegno\",\"Irob\",\"Hamus\",\"Arb\",\"Kidame\"],dayNamesShort:[\"Ehu\",\"Seg\",\"Mak\",\"Iro\",\"Ham\",\"Arb\",\"Kid\"],dayNamesMin:[\"Eh\",\"Se\",\"Ma\",\"Ir\",\"Ha\",\"Ar\",\"Ki\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()+(e.year()<0?1:0))%4==3||t%4==-1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return(t=i.year())<0&&t++,i.day()+30*(i.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return this.newDate(r,n,i)}}),n.calendars.ethiopian=a},78295:function(t,e,r){var n=r(24453),i=r(27976);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Hebrew\",jdEpoch:347995.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29,29],hasYearZero:!1,minMonth:1,firstMonth:7,minDay:1,regionalOptions:{\"\":{name:\"Hebrew\",epochs:[\"BAM\",\"AM\"],monthNames:[\"Nisan\",\"Iyar\",\"Sivan\",\"Tammuz\",\"Av\",\"Elul\",\"Tishrei\",\"Cheshvan\",\"Kislev\",\"Tevet\",\"Shevat\",\"Adar\",\"Adar II\"],monthNamesShort:[\"Nis\",\"Iya\",\"Siv\",\"Tam\",\"Av\",\"Elu\",\"Tis\",\"Che\",\"Kis\",\"Tev\",\"She\",\"Ada\",\"Ad2\"],dayNames:[\"Yom Rishon\",\"Yom Sheni\",\"Yom Shlishi\",\"Yom Revi'i\",\"Yom Chamishi\",\"Yom Shishi\",\"Yom Shabbat\"],dayNamesShort:[\"Ris\",\"She\",\"Shl\",\"Rev\",\"Cha\",\"Shi\",\"Sha\"],dayNamesMin:[\"Ri\",\"She\",\"Shl\",\"Re\",\"Ch\",\"Shi\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return this._leapYear(e.year())},_leapYear:function(t){return o(7*(t=t<0?t+1:t)+1,19)<7},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),this._leapYear(t.year?t.year():t)?13:12},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),this.toJD(-1===t?1:t+1,7,1)-this.toJD(t,7,1)},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),12===e&&this.leapYear(t)||8===e&&5===o(this.daysInYear(t),10)?30:9===e&&3===o(this.daysInYear(t),10)?29:this.daysPerMonth[e-1]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return{yearType:(this.leapYear(i)?\"embolismic\":\"common\")+\" \"+[\"deficient\",\"regular\",\"complete\"][this.daysInYear(i)%10-3]}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t<=0?t+1:t,o=this.jdEpoch+this._delay1(a)+this._delay2(a)+r+1;if(e<7){for(var s=7;s<=this.monthsInYear(t);s++)o+=this.daysInMonth(t,s);for(s=1;s<e;s++)o+=this.daysInMonth(t,s)}else for(s=7;s<e;s++)o+=this.daysInMonth(t,s);return o},_delay1:function(t){var e=Math.floor((235*t-234)/19),r=12084+13753*e,n=29*e+Math.floor(r/25920);return o(3*(n+1),7)<3&&n++,n},_delay2:function(t){var e=this._delay1(t-1),r=this._delay1(t);return this._delay1(t+1)-r==356?2:r-e==382?1:0},fromJD:function(t){t=Math.floor(t)+.5;for(var e=Math.floor(98496*(t-this.jdEpoch)/35975351)-1;t>=this.toJD(-1===e?1:e+1,7,1);)e++;for(var r=t<this.toJD(e,1,1)?7:1;t>this.toJD(e,r,this.daysInMonth(e,r));)r++;var n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.hebrew=a},25512:function(t,e,r){var n=r(24453),i=r(27976);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Islamic\",jdEpoch:1948439.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Islamic\",epochs:[\"BH\",\"AH\"],monthNames:[\"Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' al-thani\",\"Jumada al-awwal\",\"Jumada al-thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-ahad\",\"Yawm al-ithnayn\",\"Yawm ath-thulaathaa'\",\"Yawm al-arbi'aa'\",\"Yawm al-khamīs\",\"Yawm al-jum'a\",\"Yawm as-sabt\"],dayNamesShort:[\"Aha\",\"Ith\",\"Thu\",\"Arb\",\"Kha\",\"Jum\",\"Sab\"],dayNamesMin:[\"Ah\",\"It\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!1}},leapYear:function(t){return(11*this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year()+14)%30<11},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return this.leapYear(t)?355:354},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),t=t<=0?t+1:t,(r=i.day())+Math.ceil(29.5*(e-1))+354*(t-1)+Math.floor((3+11*t)/30)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t)+.5;var e=Math.floor((30*(t-this.jdEpoch)+10646)/10631);e=e<=0?e-1:e;var r=Math.min(12,Math.ceil((t-29-this.toJD(e,1,1))/29.5)+1),n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.islamic=a},42645:function(t,e,r){var n=r(24453),i=r(27976);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Julian\",jdEpoch:1721423.5,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Julian\",epochs:[\"BC\",\"AD\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"mm/dd/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()<0?e.year()+1:e.year())%4==0},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),r=i.day(),t<0&&t++,e<=2&&(t--,e+=12),Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r-1524.5},fromJD:function(t){var e=Math.floor(t+.5)+1524,r=Math.floor((e-122.1)/365.25),n=Math.floor(365.25*r),i=Math.floor((e-n)/30.6001),a=i-Math.floor(i<14?1:13),o=r-Math.floor(a>2?4716:4715),s=e-n-Math.floor(30.6001*i);return o<=0&&o--,this.newDate(o,a,s)}}),n.calendars.julian=a},62324:function(t,e,r){var n=r(24453),i=r(27976);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}function s(t,e){return o(t-1,e)+1}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Mayan\",jdEpoch:584282.5,hasYearZero:!0,minMonth:0,firstMonth:0,minDay:0,regionalOptions:{\"\":{name:\"Mayan\",epochs:[\"\",\"\"],monthNames:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\"],monthNamesShort:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\"],dayNames:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],dayNamesShort:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],dayNamesMin:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],digits:null,dateFormat:\"YYYY.m.d\",firstDay:0,isRTL:!1,haabMonths:[\"Pop\",\"Uo\",\"Zip\",\"Zotz\",\"Tzec\",\"Xul\",\"Yaxkin\",\"Mol\",\"Chen\",\"Yax\",\"Zac\",\"Ceh\",\"Mac\",\"Kankin\",\"Muan\",\"Pax\",\"Kayab\",\"Cumku\",\"Uayeb\"],tzolkinMonths:[\"Imix\",\"Ik\",\"Akbal\",\"Kan\",\"Chicchan\",\"Cimi\",\"Manik\",\"Lamat\",\"Muluc\",\"Oc\",\"Chuen\",\"Eb\",\"Ben\",\"Ix\",\"Men\",\"Cib\",\"Caban\",\"Etznab\",\"Cauac\",\"Ahau\"]}},leapYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+\".\"+Math.floor(t/20)+\".\"+t%20},forYear:function(t){if((t=t.split(\".\")).length<3)throw\"Invalid Mayan year\";for(var e=0,r=0;r<t.length;r++){var n=parseInt(t[r],10);if(Math.abs(n)>19||r>0&&n<0)throw\"Invalid Mayan year\";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),!0},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate).toJD(),a=this._toHaab(i),o=this._toTzolkin(i);return{haabMonthName:this.local.haabMonths[a[0]-1],haabMonth:a[0],haabDay:a[1],tzolkinDayName:this.local.tzolkinMonths[o[0]-1],tzolkinDay:o[0],tzolkinTrecena:o[1]}},_toHaab:function(t){var e=o(8+(t-=this.jdEpoch)+340,365);return[Math.floor(e/20)+1,o(e,20)]},_toTzolkin:function(t){return[s(20+(t-=this.jdEpoch),20),s(t+4,13)]},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return i.day()+20*i.month()+360*i.year()+this.jdEpoch},fromJD:function(t){t=Math.floor(t)+.5-this.jdEpoch;var e=Math.floor(t/360);t%=360,t+=t<0?360:0;var r=Math.floor(t/20),n=t%20;return this.newDate(e,r,n)}}),n.calendars.mayan=a},91662:function(t,e,r){var n=r(24453),i=r(27976);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar;var o=n.instance(\"gregorian\");i(a.prototype,{name:\"Nanakshahi\",jdEpoch:2257673.5,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Nanakshahi\",epochs:[\"BN\",\"AN\"],monthNames:[\"Chet\",\"Vaisakh\",\"Jeth\",\"Harh\",\"Sawan\",\"Bhadon\",\"Assu\",\"Katak\",\"Maghar\",\"Poh\",\"Magh\",\"Phagun\"],monthNamesShort:[\"Che\",\"Vai\",\"Jet\",\"Har\",\"Saw\",\"Bha\",\"Ass\",\"Kat\",\"Mgr\",\"Poh\",\"Mgh\",\"Pha\"],dayNames:[\"Somvaar\",\"Mangalvar\",\"Budhvaar\",\"Veervaar\",\"Shukarvaar\",\"Sanicharvaar\",\"Etvaar\"],dayNamesShort:[\"Som\",\"Mangal\",\"Budh\",\"Veer\",\"Shukar\",\"Sanichar\",\"Et\"],dayNamesMin:[\"So\",\"Ma\",\"Bu\",\"Ve\",\"Sh\",\"Sa\",\"Et\"],digits:null,dateFormat:\"dd-mm-yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear);return o.leapYear(e.year()+(e.year()<1?1:0)+1469)},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(1-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidMonth);(t=i.year())<0&&t++;for(var a=i.day(),s=1;s<i.month();s++)a+=this.daysPerMonth[s-1];return a+o.toJD(t+1468,3,13)},fromJD:function(t){t=Math.floor(t+.5);for(var e=Math.floor((t-(this.jdEpoch-1))/366);t>=this.toJD(e+1,1,1);)e++;for(var r=t-Math.floor(this.toJD(e,1,1)+.5)+1,n=1;r>this.daysInMonth(e,n);)r-=this.daysInMonth(e,n),n++;return this.newDate(e,n,r)}}),n.calendars.nanakshahi=a},66445:function(t,e,r){var n=r(24453),i=r(27976);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Nepali\",jdEpoch:1700709.5,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{\"\":{name:\"Nepali\",epochs:[\"BBS\",\"ABS\"],monthNames:[\"Baisakh\",\"Jestha\",\"Ashadh\",\"Shrawan\",\"Bhadra\",\"Ashwin\",\"Kartik\",\"Mangsir\",\"Paush\",\"Mangh\",\"Falgun\",\"Chaitra\"],monthNamesShort:[\"Bai\",\"Je\",\"As\",\"Shra\",\"Bha\",\"Ash\",\"Kar\",\"Mang\",\"Pau\",\"Ma\",\"Fal\",\"Chai\"],dayNames:[\"Aaitabaar\",\"Sombaar\",\"Manglbaar\",\"Budhabaar\",\"Bihibaar\",\"Shukrabaar\",\"Shanibaar\"],dayNamesShort:[\"Aaita\",\"Som\",\"Mangl\",\"Budha\",\"Bihi\",\"Shukra\",\"Shani\"],dayNamesMin:[\"Aai\",\"So\",\"Man\",\"Bu\",\"Bi\",\"Shu\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:1,isRTL:!1}},leapYear:function(t){return 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9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=a.daysInYear(c)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(c,1,1).add(o,\"d\").toJD()},fromJD:function(t){var e=n.instance().fromJD(t),r=e.year(),i=e.dayOfYear(),a=r+56;this._createMissingCalendarData(a);for(var o=9,s=this.NEPALI_CALENDAR_DATA[a][0],l=this.NEPALI_CALENDAR_DATA[a][o]-s+1;i>l;)++o>12&&(o=1,a++),l+=this.NEPALI_CALENDAR_DATA[a][o];var c=this.NEPALI_CALENDAR_DATA[a][o]-(l-i);return this.newDate(a,o,c)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)void 0===this.NEPALI_CALENDAR_DATA[r]&&(this.NEPALI_CALENDAR_DATA[r]=e)},NEPALI_CALENDAR_DATA:{1970:[18,31,31,32,31,31,31,30,29,30,29,30,30],1971:[18,31,31,32,31,32,30,30,29,30,29,30,30],1972:[17,31,32,31,32,31,30,30,30,29,29,30,30],1973:[19,30,32,31,32,31,30,30,30,29,30,29,31],1974:[19,31,31,32,30,31,31,30,29,30,29,30,30],1975:[18,31,31,32,32,30,31,30,29,30,29,30,30],1976:[17,31,32,31,32,31,30,30,30,29,29,30,31],1977:[18,31,32,31,32,31,31,29,30,29,30,29,31],1978:[18,31,31,32,31,31,31,30,29,30,29,30,30],1979:[18,31,31,32,32,31,30,30,29,30,29,30,30],1980:[17,31,32,31,32,31,30,30,30,29,29,30,31],1981:[18,31,31,31,32,31,31,29,30,30,29,30,30],1982:[18,31,31,32,31,31,31,30,29,30,29,30,30],1983:[18,31,31,32,32,31,30,30,29,30,29,30,30],1984:[17,31,32,31,32,31,30,30,30,29,29,30,31],1985:[18,31,31,31,32,31,31,29,30,30,29,30,30],1986:[18,31,31,32,31,31,31,30,29,30,29,30,30],1987:[18,31,32,31,32,31,30,30,29,30,29,30,30],1988:[17,31,32,31,32,31,30,30,30,29,29,30,31],1989:[18,31,31,31,32,31,31,30,29,30,29,30,30],1990:[18,31,31,32,31,31,31,30,29,30,29,30,30],1991:[18,31,32,31,32,31,30,30,29,30,29,30,30],1992:[17,31,32,31,32,31,30,30,30,29,30,29,31],1993:[18,31,31,31,32,31,31,30,29,30,29,30,30],1994:[18,31,31,32,31,31,31,30,29,30,29,30,30],1995:[17,31,32,31,32,31,30,30,30,29,29,30,30],1996:[17,31,32,31,32,31,30,30,30,29,30,29,31],1997:[18,31,31,32,31,31,31,30,29,30,29,30,30],1998:[18,31,31,32,31,31,31,30,29,30,29,30,30],1999:[17,31,32,31,32,31,30,30,30,29,29,30,31],2e3:[17,30,32,31,32,31,30,30,30,29,30,29,31],2001:[18,31,31,32,31,31,31,30,29,30,29,30,30],2002:[18,31,31,32,32,31,30,30,29,30,29,30,30],2003:[17,31,32,31,32,31,30,30,30,29,29,30,31],2004:[17,30,32,31,32,31,30,30,30,29,30,29,31],2005:[18,31,31,32,31,31,31,30,29,30,29,30,30],2006:[18,31,31,32,32,31,30,30,29,30,29,30,30],2007:[17,31,32,31,32,31,30,30,30,29,29,30,31],2008:[17,31,31,31,32,31,31,29,30,30,29,29,31],2009:[18,31,31,32,31,31,31,30,29,30,29,30,30],2010:[18,31,31,32,32,31,30,30,29,30,29,30,30],2011:[17,31,32,31,32,31,30,30,30,29,29,30,31],2012:[17,31,31,31,32,31,31,29,30,30,29,30,30],2013:[18,31,31,32,31,31,31,30,29,30,29,30,30],2014:[18,31,31,32,32,31,30,30,29,30,29,30,30],2015:[17,31,32,31,32,31,30,30,30,29,29,30,31],2016:[17,31,31,31,32,31,31,29,30,30,29,30,30],2017:[18,31,31,32,31,31,31,30,29,30,29,30,30],2018:[18,31,32,31,32,31,30,30,29,30,29,30,30],2019:[17,31,32,31,32,31,30,30,30,29,30,29,31],2020:[17,31,31,31,32,31,31,30,29,30,29,30,30],2021:[18,31,31,32,31,31,31,30,29,30,29,30,30],2022:[17,31,32,31,32,31,30,30,30,29,29,30,30],2023:[17,31,32,31,32,31,30,30,30,29,30,29,31],2024:[17,31,31,31,32,31,31,30,29,30,29,30,30],2025:[18,31,31,32,31,31,31,30,29,30,29,30,30],2026:[17,31,32,31,32,31,30,30,30,29,29,30,31],2027:[17,30,32,31,32,31,30,30,30,29,30,29,31],2028:[17,31,31,32,31,31,31,30,29,30,29,30,30],2029:[18,31,31,32,31,32,30,30,29,30,29,30,30],2030:[17,31,32,31,32,31,30,30,30,30,30,30,31],2031:[17,31,32,31,32,31,31,31,31,31,31,31,31],2032:[17,32,32,32,32,32,32,32,32,32,32,32,32],2033:[18,31,31,32,32,31,30,30,29,30,29,30,30],2034:[17,31,32,31,32,31,30,30,30,29,29,30,31],2035:[17,30,32,31,32,31,31,29,30,30,29,29,31],2036:[17,31,31,32,31,31,31,30,29,30,29,30,30],2037:[18,31,31,32,32,31,30,30,29,30,29,30,30],2038:[17,31,32,31,32,31,30,30,30,29,29,30,31],2039:[17,31,31,31,32,31,31,29,30,30,29,30,30],2040:[17,31,31,32,31,31,31,30,29,30,29,30,30],2041:[18,31,31,32,32,31,30,30,29,30,29,30,30],2042:[17,31,32,31,32,31,30,30,30,29,29,30,31],2043:[17,31,31,31,32,31,31,29,30,30,29,30,30],2044:[17,31,31,32,31,31,31,30,29,30,29,30,30],2045:[18,31,32,31,32,31,30,30,29,30,29,30,30],2046:[17,31,32,31,32,31,30,30,30,29,29,30,31],2047:[17,31,31,31,32,31,31,30,29,30,29,30,30],2048:[17,31,31,32,31,31,31,30,29,30,29,30,30],2049:[17,31,32,31,32,31,30,30,30,29,29,30,30],2050:[17,31,32,31,32,31,30,30,30,29,30,29,31],2051:[17,31,31,31,32,31,31,30,29,30,29,30,30],2052:[17,31,31,32,31,31,31,30,29,30,29,30,30],2053:[17,31,32,31,32,31,30,30,30,29,29,30,30],2054:[17,31,32,31,32,31,30,30,30,29,30,29,31],2055:[17,31,31,32,31,31,31,30,29,30,30,29,30],2056:[17,31,31,32,31,32,30,30,29,30,29,30,30],2057:[17,31,32,31,32,31,30,30,30,29,29,30,31],2058:[17,30,32,31,32,31,30,30,30,29,30,29,31],2059:[17,31,31,32,31,31,31,30,29,30,29,30,30],2060:[17,31,31,32,32,31,30,30,29,30,29,30,30],2061:[17,31,32,31,32,31,30,30,30,29,29,30,31],2062:[17,30,32,31,32,31,31,29,30,29,30,29,31],2063:[17,31,31,32,31,31,31,30,29,30,29,30,30],2064:[17,31,31,32,32,31,30,30,29,30,29,30,30],2065:[17,31,32,31,32,31,30,30,30,29,29,30,31],2066:[17,31,31,31,32,31,31,29,30,30,29,29,31],2067:[17,31,31,32,31,31,31,30,29,30,29,30,30],2068:[17,31,31,32,32,31,30,30,29,30,29,30,30],2069:[17,31,32,31,32,31,30,30,30,29,29,30,31],2070:[17,31,31,31,32,31,31,29,30,30,29,30,30],2071:[17,31,31,32,31,31,31,30,29,30,29,30,30],2072:[17,31,32,31,32,31,30,30,29,30,29,30,30],2073:[17,31,32,31,32,31,30,30,30,29,29,30,31],2074:[17,31,31,31,32,31,31,30,29,30,29,30,30],2075:[17,31,31,32,31,31,31,30,29,30,29,30,30],2076:[16,31,32,31,32,31,30,30,30,29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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 682*((e.year()-(e.year()>0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t-(t>=0?474:473),s=474+o(a,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(a/2820)+this.jdEpoch-1},fromJD:function(t){var e=(t=Math.floor(t)+.5)-this.toJD(475,1,1),r=Math.floor(e/1029983),n=o(e,1029983),i=2820;if(1029982!==n){var a=Math.floor(n/366),s=o(n,366);i=Math.floor((2134*a+2816*s+2815)/1028522)+a+1}var l=i+2820*r+474;l=l<=0?l-1:l;var 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i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return t=this._t2gYear(i.year()),a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=this._t2gYear(i.year()),a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)},_g2tYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)}}),n.calendars.taiwan=o},41858:function(t,e,r){var n=r(24453),i=r(27976),a=n.instance();function o(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}o.prototype=new 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i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return t=this._t2gYear(i.year()),a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=this._t2gYear(i.year()),a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)},_g2tYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)}}),n.calendars.thai=o},57985:function(t,e,r){var n=r(24453),i=r(27976);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"UmmAlQura\",hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Umm al-Qura\",epochs:[\"BH\",\"AH\"],monthNames:[\"Al-Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' Al-Thani\",\"Jumada Al-Awwal\",\"Jumada Al-Thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-Ahad\",\"Yawm al-Ithnain\",\"Yawm al-Thalāthā’\",\"Yawm al-Arba‘ā’\",\"Yawm al-Khamīs\",\"Yawm al-Jum‘a\",\"Yawm al-Sabt\"],dayNamesMin:[\"Ah\",\"Ith\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!0}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 355===this.daysInYear(e.year())},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){for(var e=0,r=1;r<=12;r++)e+=this.daysInMonth(t,r);return e},daysInMonth:function(t,e){for(var r=this._validate(t,e,this.minDay,n.local.invalidMonth).toJD()-24e5+.5,i=0,a=0;a<o.length;a++){if(o[a]>r)return o[i]-o[i-1];i++}return 30},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate),a=12*(i.year()-1)+i.month()-15292;return i.day()+o[a-1]-1+24e5-.5},fromJD:function(t){for(var e=t-24e5+.5,r=0,n=0;n<o.length&&!(o[n]>e);n++)r++;var i=r+15292,a=Math.floor((i-1)/12),s=a+1,l=i-12*a,c=e-o[r-1]+1;return this.newDate(s,l,c)},isValid:function(t,e,r){var i=n.baseCalendar.prototype.isValid.apply(this,arguments);return i&&(i=(t=null!=t.year?t.year:t)>=1276&&t<=1500),i},_validate:function(t,e,r,i){var a=n.baseCalendar.prototype._validate.apply(this,arguments);if(a.year<1276||a.year>1500)throw i.replace(/\\{0\\}/,this.local.name);return a}}),n.calendars.ummalqura=a;var 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n=r(27976);function i(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function o(t,e){return\"000000\".substring(0,e-(t=\"\"+t).length)+t}function s(){this.shortYearCutoff=\"+10\"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}n(i.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,i){return(n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,i):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+\"\").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",i=0;r>0;){var a=r%10;n=(0===a?\"\":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(a.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(c.local.differentCalendars||c.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+o(Math.abs(this.year()),4)+\"-\"+o(this.month(),2)+\"-\"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,\"d\"===r||\"w\"===r){var n=t.toJD()+e*(\"w\"===r?this.daysInWeek():1),i=t.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=t.year()+(\"y\"===r?e:0),o=t.monthOfYear()+(\"m\"===r?e:0);i=t.day(),\"y\"===r?(t.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):\"m\"===r&&(function(t){for(;o<t.minMonth;)a--,o+=t.monthsInYear(a);for(var e=t.monthsInYear(a);o>e-1+t.minMonth;)a++,o-=e,e=t.monthsInYear(a)}(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var s=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,s}catch(t){throw 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t=ae(e);if(r){if(r===t)continue;r=dt;break}r=t}return _t(r||dt,e)}return pt}function oe(t){const e=typeof t;return null===t?\"\":\"string\"===e||\"number\"===e||\"boolean\"===e?String(t):t instanceof Xt||t instanceof Kt||t instanceof Qt||t instanceof ee||t instanceof re?t.toString():JSON.stringify(t)}class se{constructor(t,e){this.type=t,this.value=e}static parse(t,e){if(2!==t.length)return e.error(`'literal' expression requires exactly one argument, but found ${t.length-1} instead.`);if(!ie(t[1]))return e.error(\"invalid value\");const r=t[1];let n=ae(r);const i=e.expectedType;return\"array\"!==n.kind||0!==n.N||!i||\"array\"!==i.kind||\"number\"==typeof i.N&&0!==i.N||(n=i),new se(n,r)}evaluate(){return this.value}eachChild(){}outputDefined(){return!0}}class le{constructor(t){this.name=\"ExpressionEvaluationError\",this.message=t}toJSON(){return this.message}}const ce={string:ut,number:ct,boolean:ht,object:pt};class ue{constructor(t,e){this.type=t,this.args=e}static 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st,a=[]){this.registry=t,this.path=r,this.key=r.map((t=>`[${t}]`)).join(\"\"),this.scope=i,this.errors=a,this.expectedType=n,this._isConstant=e}parse(t,e,r,n,i={}){return e?this.concat(e,r,n)._parse(t,i):this._parse(t,i)}_parse(t,e){function r(t,e,r){return\"assert\"===r?new ue(e,[t]):\"coerce\"===r?new fe(e,[t]):t}if(null!==t&&\"string\"!=typeof t&&\"boolean\"!=typeof t&&\"number\"!=typeof t||(t=[\"literal\",t]),Array.isArray(t)){if(0===t.length)return this.error('Expected an array with at least one element. 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be{constructor(t,e,r,n,i,a){this.inputType=t,this.type=e,this.input=r,this.cases=n,this.outputs=i,this.otherwise=a}static parse(t,e){if(t.length<5)return e.error(`Expected at least 4 arguments, but found only ${t.length-1}.`);if(t.length%2!=1)return e.error(\"Expected an even number of arguments.\");let r,n;e.expectedType&&\"value\"!==e.expectedType.kind&&(n=e.expectedType);const i={},a=[];for(let o=2;o<t.length-1;o+=2){let s=t[o];const l=t[o+1];Array.isArray(s)||(s=[s]);const c=e.concat(o);if(0===s.length)return c.error(\"Expected at least one branch label.\");for(const t of s){if(\"number\"!=typeof t&&\"string\"!=typeof t)return c.error(\"Branch labels must be numbers or strings.\");if(\"number\"==typeof t&&Math.abs(t)>Number.MAX_SAFE_INTEGER)return c.error(`Branch labels must be integers no larger than ${Number.MAX_SAFE_INTEGER}.`);if(\"number\"==typeof t&&Math.floor(t)!==t)return c.error(\"Numeric branch labels must be integer values.\");if(r){if(c.checkSubtype(r,ae(t)))return null}else r=ae(t);if(void 0!==i[String(t)])return c.error(\"Branch labels must be unique.\");i[String(t)]=a.length}const u=e.parse(l,o,n);if(!u)return null;n=n||u.type,a.push(u)}const o=e.parse(t[1],1,dt);if(!o)return null;const s=e.parse(t[t.length-1],t.length-1,n);return s?\"value\"!==o.type.kind&&e.concat(1).checkSubtype(r,o.type)?null:new be(r,n,o,i,a,s):null}evaluate(t){const e=this.input.evaluate(t);return(ae(e)===this.inputType&&this.outputs[this.cases[e]]||this.otherwise).evaluate(t)}eachChild(t){t(this.input),this.outputs.forEach(t),t(this.otherwise)}outputDefined(){return this.outputs.every((t=>t.outputDefined()))&&this.otherwise.outputDefined()}}class we{constructor(t,e,r){this.type=t,this.branches=e,this.otherwise=r}static parse(t,e){if(t.length<4)return e.error(`Expected at least 3 arguments, but found only ${t.length-1}.`);if(t.length%2!=0)return e.error(\"Expected an odd number of arguments.\");let 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Qt(Ie(t.values,e.values,r))},variableAnchorOffsetCollection:function(t,e,r){const n=t.values,i=e.values;if(n.length!==i.length)throw new le(`Cannot interpolate values of different length. from: ${t.toString()}, to: ${e.toString()}`);const a=[];for(let t=0;t<n.length;t+=2){if(n[t]!==i[t])throw new le(`Cannot interpolate values containing mismatched anchors. from[${t}]: ${n[t]}, to[${t}]: ${i[t]}`);a.push(n[t]);const[e,o]=n[t+1],[s,l]=i[t+1];a.push([Le(e,s,r),Le(o,l,r)])}return new ee(a)}};class ze{constructor(t,e,r,n,i){this.type=t,this.operator=e,this.interpolation=r,this.input=n,this.labels=[],this.outputs=[];for(const[t,e]of i)this.labels.push(t),this.outputs.push(e)}static interpolationFactor(t,e,r,n){let i=0;if(\"exponential\"===t.name)i=Oe(e,t.base,r,n);else if(\"linear\"===t.name)i=Oe(e,1,r,n);else if(\"cubic-bezier\"===t.name){const a=t.controlPoints;i=new Ce(a[0],a[1],a[2],a[3]).solve(Oe(e,1,r,n))}return i}static 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e.error(\"Expected one argument.\");const r=t[1];if(\"object\"!=typeof r||Array.isArray(r))return e.error(\"Collator options argument must be an object.\");const n=e.parse(void 0!==r[\"case-sensitive\"]&&r[\"case-sensitive\"],1,ht);if(!n)return null;const i=e.parse(void 0!==r[\"diacritic-sensitive\"]&&r[\"diacritic-sensitive\"],1,ht);if(!i)return null;let a=null;return r.locale&&(a=e.parse(r.locale,1,ut),!a)?null:new Ge(n,i,a)}evaluate(t){return new $t(this.caseSensitive.evaluate(t),this.diacriticSensitive.evaluate(t),this.locale?this.locale.evaluate(t):null)}eachChild(t){t(this.caseSensitive),t(this.diacriticSensitive),this.locale&&t(this.locale)}outputDefined(){return!1}}class Ze{constructor(t,e,r,n,i){this.type=ut,this.number=t,this.locale=e,this.currency=r,this.minFractionDigits=n,this.maxFractionDigits=i}static parse(t,e){if(3!==t.length)return e.error(\"Expected two arguments.\");const r=e.parse(t[1],1,ct);if(!r)return null;const n=t[2];if(\"object\"!=typeof n||Array.isArray(n))return e.error(\"NumberFormat options argument must be an object.\");let i=null;if(n.locale&&(i=e.parse(n.locale,1,ut),!i))return null;let a=null;if(n.currency&&(a=e.parse(n.currency,1,ut),!a))return null;let o=null;if(n[\"min-fraction-digits\"]&&(o=e.parse(n[\"min-fraction-digits\"],1,ct),!o))return null;let s=null;return n[\"max-fraction-digits\"]&&(s=e.parse(n[\"max-fraction-digits\"],1,ct),!s)?null:new Ze(r,i,a,o,s)}evaluate(t){return new Intl.NumberFormat(this.locale?this.locale.evaluate(t):[],{style:this.currency?\"currency\":\"decimal\",currency:this.currency?this.currency.evaluate(t):void 0,minimumFractionDigits:this.minFractionDigits?this.minFractionDigits.evaluate(t):void 0,maximumFractionDigits:this.maxFractionDigits?this.maxFractionDigits.evaluate(t):void 0}).format(this.number.evaluate(t))}eachChild(t){t(this.number),this.locale&&t(this.locale),this.currency&&t(this.currency),this.minFractionDigits&&t(this.minFractionDigits),this.maxFractionDigits&&t(this.maxFractionDigits)}outputDefined(){return!1}}class We{constructor(t){this.type=gt,this.sections=t}static parse(t,e){if(t.length<2)return e.error(\"Expected at least one argument.\");const r=t[1];if(!Array.isArray(r)&&\"object\"==typeof r)return e.error(\"First argument must be an image or text section.\");const n=[];let i=!1;for(let r=1;r<=t.length-1;++r){const a=t[r];if(i&&\"object\"==typeof a&&!Array.isArray(a)){i=!1;let t=null;if(a[\"font-scale\"]&&(t=e.parse(a[\"font-scale\"],1,ct),!t))return null;let r=null;if(a[\"text-font\"]&&(r=e.parse(a[\"text-font\"],1,_t(ut)),!r))return null;let o=null;if(a[\"text-color\"]&&(o=e.parse(a[\"text-color\"],1,ft),!o))return null;const s=n[n.length-1];s.scale=t,s.font=r,s.textColor=o}else{const a=e.parse(t[r],1,dt);if(!a)return null;const 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r=Math.pow(2,e.z),n=(t[0]/$e+e.x)/r,i=(t[1]/$e+e.y)/r;return[(o=n,360*o-180),(a=i,360/Math.PI*Math.atan(Math.exp((180-360*a)*Math.PI/180))-90)];var a,o}function Qe(t,e){t[0]=Math.min(t[0],e[0]),t[1]=Math.min(t[1],e[1]),t[2]=Math.max(t[2],e[0]),t[3]=Math.max(t[3],e[1])}function tr(t,e){return!(t[0]<=e[0]||t[2]>=e[2]||t[1]<=e[1]||t[3]>=e[3])}function er(t,e,r){const n=t[0]-e[0],i=t[1]-e[1],a=t[0]-r[0],o=t[1]-r[1];return n*o-a*i==0&&n*a<=0&&i*o<=0}function rr(t,e,r,n){const i=[e[0]-t[0],e[1]-t[1]];return 0!=(a=[n[0]-r[0],n[1]-r[1]],o=i,a[0]*o[1]-a[1]*o[0])&&!(!lr(t,e,r,n)||!lr(r,n,t,e));var a,o}function nr(t,e,r){for(const n of r)for(let r=0;r<n.length-1;++r)if(rr(t,e,n[r],n[r+1]))return!0;return!1}function ir(t,e,r=!1){let n=!1;for(const s of e)for(let e=0;e<s.length-1;e++){if(er(t,s[e],s[e+1]))return r;i=t,a=s[e],o=s[e+1],a[1]>i[1]!=o[1]>i[1]&&i[0]<(o[0]-a[0])*(i[1]-a[1])/(o[1]-a[1])+a[0]&&(n=!n)}var i,a,o;return n}function ar(t,e){for(const r of e)if(ir(t,r))return!0;return!1}function 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Object.keys(this._values))if(this._values[t].prior)return!0;return!1}}class $i{constructor(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)}hasValue(t){return void 0!==this._values[t].value}getValue(t){return b(this._values[t].value)}setValue(t,e){this._values[t]=new Gi(this._values[t].property,null===e?void 0:b(e))}serialize(){const t={};for(const e of Object.keys(this._values)){const r=this.getValue(e);void 0!==r&&(t[e]=r)}return t}possiblyEvaluate(t,e,r){const n=new Ki(this._properties);for(const i of Object.keys(this._values))n._values[i]=this._values[i].possiblyEvaluate(t,e,r);return n}}class Ji{constructor(t,e,r){this.property=t,this.value=e,this.parameters=r}isConstant(){return\"constant\"===this.value.kind}constantOr(t){return\"constant\"===this.value.kind?this.value.value:t}evaluate(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)}}class Ki{constructor(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)}get(t){return this._values[t]}}class Qi{constructor(t){this.specification=t}possiblyEvaluate(t,e){if(t.isDataDriven())throw new Error(\"Value should not be data driven\");return t.expression.evaluate(e)}interpolate(t,e,r){const n=this.specification.type,i=Pe[n];return i?i(t,e,r):t}}class ta{constructor(t,e){this.specification=t,this.overrides=e}possiblyEvaluate(t,e,r,n){return\"constant\"===t.expression.kind||\"camera\"===t.expression.kind?new Ji(this,{kind:\"constant\",value:t.expression.evaluate(e,null,{},r,n)},e):new Ji(this,t.expression,e)}interpolate(t,e,r){if(\"constant\"!==t.value.kind||\"constant\"!==e.value.kind)return t;if(void 0===t.value.value||void 0===e.value.value)return new Ji(this,{kind:\"constant\",value:void 0},t.parameters);const n=this.specification.type,i=Pe[n];if(i){const n=i(t.value.value,e.value.value,r);return new Ji(this,{kind:\"constant\",value:n},t.parameters)}return t}evaluate(t,e,r,n,i,a){return\"constant\"===t.kind?t.value:t.evaluate(e,r,n,i,a)}}class ea extends ta{possiblyEvaluate(t,e,r,n){if(void 0===t.value)return new Ji(this,{kind:\"constant\",value:void 0},e);if(\"constant\"===t.expression.kind){const i=t.expression.evaluate(e,null,{},r,n),a=\"resolvedImage\"===t.property.specification.type&&\"string\"!=typeof i?i.name:i,o=this._calculate(a,a,a,e);return new Ji(this,{kind:\"constant\",value:o},e)}if(\"camera\"===t.expression.kind){const r=this._calculate(t.expression.evaluate({zoom:e.zoom-1}),t.expression.evaluate({zoom:e.zoom}),t.expression.evaluate({zoom:e.zoom+1}),e);return new Ji(this,{kind:\"constant\",value:r},e)}return new Ji(this,t.expression,e)}evaluate(t,e,r,n,i,a){if(\"source\"===t.kind){const o=t.evaluate(e,r,n,i,a);return this._calculate(o,o,o,e)}return\"composite\"===t.kind?this._calculate(t.evaluate({zoom:Math.floor(e.zoom)-1},r,n),t.evaluate({zoom:Math.floor(e.zoom)},r,n),t.evaluate({zoom:Math.floor(e.zoom)+1},r,n),e):t.value}_calculate(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}}interpolate(t){return t}}class ra{constructor(t){this.specification=t}possiblyEvaluate(t,e,r,n){if(void 0!==t.value){if(\"constant\"===t.expression.kind){const i=t.expression.evaluate(e,null,{},r,n);return this._calculate(i,i,i,e)}return this._calculate(t.expression.evaluate(new Hi(Math.floor(e.zoom-1),e)),t.expression.evaluate(new Hi(Math.floor(e.zoom),e)),t.expression.evaluate(new Hi(Math.floor(e.zoom+1),e)),e)}}_calculate(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}}interpolate(t){return t}}class na{constructor(t){this.specification=t}possiblyEvaluate(t,e,r,n){return!!t.expression.evaluate(e,null,{},r,n)}interpolate(){return!1}}class ia{constructor(t){this.properties=t,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[];for(const e in t){const r=t[e];r.specification.overridable&&this.overridableProperties.push(e);const n=this.defaultPropertyValues[e]=new Gi(r,void 0),i=this.defaultTransitionablePropertyValues[e]=new Zi(r);this.defaultTransitioningPropertyValues[e]=i.untransitioned(),this.defaultPossiblyEvaluatedValues[e]=n.possiblyEvaluate({})}}}Mi(\"DataDrivenProperty\",ta),Mi(\"DataConstantProperty\",Qi),Mi(\"CrossFadedDataDrivenProperty\",ea),Mi(\"CrossFadedProperty\",ra),Mi(\"ColorRampProperty\",na);const aa=\"-transition\";class oa extends G{constructor(t,e){if(super(),this.id=t.id,this.type=t.type,this._featureFilter={filter:()=>!0,needGeometry:!1},\"custom\"!==t.type&&(this.metadata=t.metadata,this.minzoom=t.minzoom,this.maxzoom=t.maxzoom,\"background\"!==t.type&&(this.source=t.source,this.sourceLayer=t[\"source-layer\"],this.filter=t.filter),e.layout&&(this._unevaluatedLayout=new $i(e.layout)),e.paint)){this._transitionablePaint=new Wi(e.paint);for(const e in t.paint)this.setPaintProperty(e,t.paint[e],{validate:!1});for(const e in t.layout)this.setLayoutProperty(e,t.layout[e],{validate:!1});this._transitioningPaint=this._transitionablePaint.untransitioned(),this.paint=new Ki(e.paint)}}getCrossfadeParameters(){return this._crossfadeParameters}getLayoutProperty(t){return\"visibility\"===t?this.visibility:this._unevaluatedLayout.getValue(t)}setLayoutProperty(t,e,r={}){if(null!=e){const n=`layers.${this.id}.layout.${t}`;if(this._validate(wi,n,t,e,r))return}\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e}getPaintProperty(t){return t.endsWith(aa)?this._transitionablePaint.getTransition(t.slice(0,-11)):this._transitionablePaint.getValue(t)}setPaintProperty(t,e,r={}){if(null!=e){const n=`layers.${this.id}.paint.${t}`;if(this._validate(bi,n,t,e,r))return!1}if(t.endsWith(aa))return this._transitionablePaint.setTransition(t.slice(0,-11),e||void 0),!1;{const r=this._transitionablePaint._values[t],n=\"cross-faded-data-driven\"===r.property.specification[\"property-type\"],i=r.value.isDataDriven(),a=r.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);const o=this._transitionablePaint._values[t].value;return o.isDataDriven()||i||n||this._handleOverridablePaintPropertyUpdate(t,a,o)}}_handleSpecialPaintPropertyUpdate(t){}_handleOverridablePaintPropertyUpdate(t,e,r){return!1}isHidden(t){return!!(this.minzoom&&t<this.minzoom)||!!(this.maxzoom&&t>=this.maxzoom)||\"none\"===this.visibility}updateTransitions(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)}hasTransition(){return this._transitioningPaint.hasTransition()}recalculate(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)}serialize(){const t={id:this.id,type:this.type,source:this.source,\"source-layer\":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),_(t,((t,e)=>!(void 0===t||\"layout\"===e&&!Object.keys(t).length||\"paint\"===e&&!Object.keys(t).length)))}_validate(t,e,r,n,i={}){return(!i||!1!==i.validate)&&Ti(this,t.call(vi,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:Z,style:{glyphs:!0,sprite:!0}}))}is3D(){return!1}isTileClipped(){return!1}hasOffscreenPass(){return!1}resize(){}isStateDependent(){for(const t in this.paint._values){const e=this.paint.get(t);if(e instanceof Ji&&hn(e.property.specification)&&(\"source\"===e.value.kind||\"composite\"===e.value.kind)&&e.value.isStateDependent)return!0}return!1}}const sa={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array};class la{constructor(t,e){this._structArray=t,this._pos1=e*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8}}class ca{constructor(){this.isTransferred=!1,this.capacity=-1,this.resize(0)}static serialize(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}}static deserialize(t){const e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e}_trim(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())}clear(){this.length=0}resize(t){this.reserve(t),this.length=t}reserve(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);const e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}}_refreshViews(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")}}function ua(t,e=1){let r=0,n=0;return{members:t.map((t=>{const i=(s=t.type,sa[s].BYTES_PER_ELEMENT),a=r=ha(r,Math.max(e,i)),o=t.components||1;var s;return n=Math.max(n,i),r+=i*o,{name:t.name,type:t.type,components:o,offset:a}})),size:ha(r,Math.max(n,e)),alignment:e}}function ha(t,e){return Math.ceil(t/e)*e}class fa extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(t,e){const r=this.length;return this.resize(r+1),this.emplace(r,t,e)}emplace(t,e,r){const n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t}}fa.prototype.bytesPerElement=4,Mi(\"StructArrayLayout2i4\",fa);class pa extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(t,e,r){const n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)}emplace(t,e,r,n){const i=3*t;return this.int16[i+0]=e,this.int16[i+1]=r,this.int16[i+2]=n,t}}pa.prototype.bytesPerElement=6,Mi(\"StructArrayLayout3i6\",pa);class da extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(t,e,r,n){const i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)}emplace(t,e,r,n,i){const a=4*t;return this.int16[a+0]=e,this.int16[a+1]=r,this.int16[a+2]=n,this.int16[a+3]=i,t}}da.prototype.bytesPerElement=8,Mi(\"StructArrayLayout4i8\",da);class ma extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(t,e,r,n,i,a){const o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)}emplace(t,e,r,n,i,a,o){const s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t}}ma.prototype.bytesPerElement=12,Mi(\"StructArrayLayout2i4i12\",ma);class ga extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(t,e,r,n,i,a){const o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)}emplace(t,e,r,n,i,a,o){const s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=i,this.uint8[l+6]=a,this.uint8[l+7]=o,t}}ga.prototype.bytesPerElement=8,Mi(\"StructArrayLayout2i4ub8\",ga);class ya extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(t,e){const r=this.length;return this.resize(r+1),this.emplace(r,t,e)}emplace(t,e,r){const n=2*t;return this.float32[n+0]=e,this.float32[n+1]=r,t}}ya.prototype.bytesPerElement=8,Mi(\"StructArrayLayout2f8\",ya);class va extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(t,e,r,n,i,a,o,s,l,c){const u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l,c)}emplace(t,e,r,n,i,a,o,s,l,c,u){const h=10*t;return this.uint16[h+0]=e,this.uint16[h+1]=r,this.uint16[h+2]=n,this.uint16[h+3]=i,this.uint16[h+4]=a,this.uint16[h+5]=o,this.uint16[h+6]=s,this.uint16[h+7]=l,this.uint16[h+8]=c,this.uint16[h+9]=u,t}}va.prototype.bytesPerElement=20,Mi(\"StructArrayLayout10ui20\",va);class xa extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(t,e,r,n,i,a,o,s,l,c,u,h){const f=this.length;return this.resize(f+1),this.emplace(f,t,e,r,n,i,a,o,s,l,c,u,h)}emplace(t,e,r,n,i,a,o,s,l,c,u,h,f){const p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=i,this.uint16[p+4]=a,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=c,this.int16[p+9]=u,this.int16[p+10]=h,this.int16[p+11]=f,t}}xa.prototype.bytesPerElement=24,Mi(\"StructArrayLayout4i4ui4i24\",xa);class _a extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(t,e,r){const n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)}emplace(t,e,r,n){const i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t}}_a.prototype.bytesPerElement=12,Mi(\"StructArrayLayout3f12\",_a);class ba extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)}emplaceBack(t){const e=this.length;return this.resize(e+1),this.emplace(e,t)}emplace(t,e){const r=1*t;return this.uint32[r+0]=e,t}}ba.prototype.bytesPerElement=4,Mi(\"StructArrayLayout1ul4\",ba);class wa extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(t,e,r,n,i,a,o,s,l){const c=this.length;return this.resize(c+1),this.emplace(c,t,e,r,n,i,a,o,s,l)}emplace(t,e,r,n,i,a,o,s,l,c){const u=10*t,h=5*t;return this.int16[u+0]=e,this.int16[u+1]=r,this.int16[u+2]=n,this.int16[u+3]=i,this.int16[u+4]=a,this.int16[u+5]=o,this.uint32[h+3]=s,this.uint16[u+8]=l,this.uint16[u+9]=c,t}}wa.prototype.bytesPerElement=20,Mi(\"StructArrayLayout6i1ul2ui20\",wa);class Ta extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(t,e,r,n,i,a){const o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)}emplace(t,e,r,n,i,a,o){const s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t}}Ta.prototype.bytesPerElement=12,Mi(\"StructArrayLayout2i2i2i12\",Ta);class ka extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(t,e,r,n,i){const a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n,i)}emplace(t,e,r,n,i,a){const o=4*t,s=8*t;return this.float32[o+0]=e,this.float32[o+1]=r,this.float32[o+2]=n,this.int16[s+6]=i,this.int16[s+7]=a,t}}ka.prototype.bytesPerElement=16,Mi(\"StructArrayLayout2f1f2i16\",ka);class Aa extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(t,e,r,n,i,a){const o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)}emplace(t,e,r,n,i,a,o){const s=16*t,l=4*t,c=8*t;return this.uint8[s+0]=e,this.uint8[s+1]=r,this.float32[l+1]=n,this.float32[l+2]=i,this.int16[c+6]=a,this.int16[c+7]=o,t}}Aa.prototype.bytesPerElement=16,Mi(\"StructArrayLayout2ub2f2i16\",Aa);class Ma extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(t,e,r){const n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)}emplace(t,e,r,n){const i=3*t;return this.uint16[i+0]=e,this.uint16[i+1]=r,this.uint16[i+2]=n,t}}Ma.prototype.bytesPerElement=6,Mi(\"StructArrayLayout3ui6\",Ma);class Sa extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g){const y=this.length;return this.resize(y+1),this.emplace(y,t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g)}emplace(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g,y){const v=24*t,x=12*t,_=48*t;return this.int16[v+0]=e,this.int16[v+1]=r,this.uint16[v+2]=n,this.uint16[v+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[v+10]=l,this.uint16[v+11]=c,this.uint16[v+12]=u,this.float32[x+7]=h,this.float32[x+8]=f,this.uint8[_+36]=p,this.uint8[_+37]=d,this.uint8[_+38]=m,this.uint32[x+10]=g,this.int16[v+22]=y,t}}Sa.prototype.bytesPerElement=48,Mi(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\",Sa);class Ea extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g,y,v,x,_,b,w,T,k,A,M,S){const E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g,y,v,x,_,b,w,T,k,A,M,S)}emplace(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g,y,v,x,_,b,w,T,k,A,M,S,E){const C=32*t,L=16*t;return this.int16[C+0]=e,this.int16[C+1]=r,this.int16[C+2]=n,this.int16[C+3]=i,this.int16[C+4]=a,this.int16[C+5]=o,this.int16[C+6]=s,this.int16[C+7]=l,this.uint16[C+8]=c,this.uint16[C+9]=u,this.uint16[C+10]=h,this.uint16[C+11]=f,this.uint16[C+12]=p,this.uint16[C+13]=d,this.uint16[C+14]=m,this.uint16[C+15]=g,this.uint16[C+16]=y,this.uint16[C+17]=v,this.uint16[C+18]=x,this.uint16[C+19]=_,this.uint16[C+20]=b,this.uint16[C+21]=w,this.uint16[C+22]=T,this.uint32[L+12]=k,this.float32[L+13]=A,this.float32[L+14]=M,this.uint16[C+30]=S,this.uint16[C+31]=E,t}}Ea.prototype.bytesPerElement=64,Mi(\"StructArrayLayout8i15ui1ul2f2ui64\",Ea);class Ca extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(t){const e=this.length;return this.resize(e+1),this.emplace(e,t)}emplace(t,e){const r=1*t;return this.float32[r+0]=e,t}}Ca.prototype.bytesPerElement=4,Mi(\"StructArrayLayout1f4\",Ca);class La extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(t,e,r){const n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)}emplace(t,e,r,n){const i=6*t,a=3*t;return this.uint16[i+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,t}}La.prototype.bytesPerElement=12,Mi(\"StructArrayLayout1ui2f12\",La);class Ia extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(t,e,r){const n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)}emplace(t,e,r,n){const i=2*t,a=4*t;return this.uint32[i+0]=e,this.uint16[a+2]=r,this.uint16[a+3]=n,t}}Ia.prototype.bytesPerElement=8,Mi(\"StructArrayLayout1ul2ui8\",Ia);class Pa extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(t,e){const r=this.length;return this.resize(r+1),this.emplace(r,t,e)}emplace(t,e,r){const n=2*t;return this.uint16[n+0]=e,this.uint16[n+1]=r,t}}Pa.prototype.bytesPerElement=4,Mi(\"StructArrayLayout2ui4\",Pa);class za extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(t){const e=this.length;return this.resize(e+1),this.emplace(e,t)}emplace(t,e){const r=1*t;return this.uint16[r+0]=e,t}}za.prototype.bytesPerElement=2,Mi(\"StructArrayLayout1ui2\",za);class Oa extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(t,e,r,n){const i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)}emplace(t,e,r,n,i){const a=4*t;return this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,this.float32[a+3]=i,t}}Oa.prototype.bytesPerElement=16,Mi(\"StructArrayLayout4f16\",Oa);class Da extends la{get anchorPointX(){return this._structArray.int16[this._pos2+0]}get anchorPointY(){return this._structArray.int16[this._pos2+1]}get x1(){return this._structArray.int16[this._pos2+2]}get y1(){return this._structArray.int16[this._pos2+3]}get x2(){return this._structArray.int16[this._pos2+4]}get y2(){return this._structArray.int16[this._pos2+5]}get featureIndex(){return this._structArray.uint32[this._pos4+3]}get sourceLayerIndex(){return this._structArray.uint16[this._pos2+8]}get bucketIndex(){return this._structArray.uint16[this._pos2+9]}get anchorPoint(){return new a(this.anchorPointX,this.anchorPointY)}}Da.prototype.size=20;class Ra extends wa{get(t){return new Da(this,t)}}Mi(\"CollisionBoxArray\",Ra);class Fa extends la{get anchorX(){return this._structArray.int16[this._pos2+0]}get anchorY(){return this._structArray.int16[this._pos2+1]}get glyphStartIndex(){return this._structArray.uint16[this._pos2+2]}get numGlyphs(){return this._structArray.uint16[this._pos2+3]}get vertexStartIndex(){return this._structArray.uint32[this._pos4+2]}get lineStartIndex(){return this._structArray.uint32[this._pos4+3]}get lineLength(){return this._structArray.uint32[this._pos4+4]}get segment(){return this._structArray.uint16[this._pos2+10]}get lowerSize(){return this._structArray.uint16[this._pos2+11]}get upperSize(){return this._structArray.uint16[this._pos2+12]}get lineOffsetX(){return this._structArray.float32[this._pos4+7]}get lineOffsetY(){return this._structArray.float32[this._pos4+8]}get writingMode(){return this._structArray.uint8[this._pos1+36]}get placedOrientation(){return this._structArray.uint8[this._pos1+37]}set placedOrientation(t){this._structArray.uint8[this._pos1+37]=t}get hidden(){return this._structArray.uint8[this._pos1+38]}set hidden(t){this._structArray.uint8[this._pos1+38]=t}get crossTileID(){return this._structArray.uint32[this._pos4+10]}set crossTileID(t){this._structArray.uint32[this._pos4+10]=t}get associatedIconIndex(){return this._structArray.int16[this._pos2+22]}}Fa.prototype.size=48;class Ba extends Sa{get(t){return new Fa(this,t)}}Mi(\"PlacedSymbolArray\",Ba);class Na extends la{get anchorX(){return this._structArray.int16[this._pos2+0]}get anchorY(){return this._structArray.int16[this._pos2+1]}get rightJustifiedTextSymbolIndex(){return this._structArray.int16[this._pos2+2]}get centerJustifiedTextSymbolIndex(){return this._structArray.int16[this._pos2+3]}get leftJustifiedTextSymbolIndex(){return this._structArray.int16[this._pos2+4]}get verticalPlacedTextSymbolIndex(){return this._structArray.int16[this._pos2+5]}get placedIconSymbolIndex(){return this._structArray.int16[this._pos2+6]}get verticalPlacedIconSymbolIndex(){return this._structArray.int16[this._pos2+7]}get key(){return this._structArray.uint16[this._pos2+8]}get textBoxStartIndex(){return this._structArray.uint16[this._pos2+9]}get textBoxEndIndex(){return this._structArray.uint16[this._pos2+10]}get verticalTextBoxStartIndex(){return this._structArray.uint16[this._pos2+11]}get verticalTextBoxEndIndex(){return this._structArray.uint16[this._pos2+12]}get iconBoxStartIndex(){return this._structArray.uint16[this._pos2+13]}get iconBoxEndIndex(){return this._structArray.uint16[this._pos2+14]}get verticalIconBoxStartIndex(){return this._structArray.uint16[this._pos2+15]}get verticalIconBoxEndIndex(){return this._structArray.uint16[this._pos2+16]}get featureIndex(){return this._structArray.uint16[this._pos2+17]}get numHorizontalGlyphVertices(){return this._structArray.uint16[this._pos2+18]}get numVerticalGlyphVertices(){return this._structArray.uint16[this._pos2+19]}get numIconVertices(){return this._structArray.uint16[this._pos2+20]}get numVerticalIconVertices(){return this._structArray.uint16[this._pos2+21]}get useRuntimeCollisionCircles(){return this._structArray.uint16[this._pos2+22]}get crossTileID(){return this._structArray.uint32[this._pos4+12]}set crossTileID(t){this._structArray.uint32[this._pos4+12]=t}get textBoxScale(){return this._structArray.float32[this._pos4+13]}get collisionCircleDiameter(){return this._structArray.float32[this._pos4+14]}get textAnchorOffsetStartIndex(){return this._structArray.uint16[this._pos2+30]}get textAnchorOffsetEndIndex(){return this._structArray.uint16[this._pos2+31]}}Na.prototype.size=64;class ja extends Ea{get(t){return new Na(this,t)}}Mi(\"SymbolInstanceArray\",ja);class Ua extends Ca{getoffsetX(t){return this.float32[1*t+0]}}Mi(\"GlyphOffsetArray\",Ua);class Va extends pa{getx(t){return this.int16[3*t+0]}gety(t){return this.int16[3*t+1]}gettileUnitDistanceFromAnchor(t){return this.int16[3*t+2]}}Mi(\"SymbolLineVertexArray\",Va);class qa extends la{get textAnchor(){return this._structArray.uint16[this._pos2+0]}get textOffset0(){return this._structArray.float32[this._pos4+1]}get textOffset1(){return this._structArray.float32[this._pos4+2]}}qa.prototype.size=12;class Ha extends La{get(t){return new qa(this,t)}}Mi(\"TextAnchorOffsetArray\",Ha);class Ga extends la{get featureIndex(){return this._structArray.uint32[this._pos4+0]}get sourceLayerIndex(){return this._structArray.uint16[this._pos2+2]}get bucketIndex(){return this._structArray.uint16[this._pos2+3]}}Ga.prototype.size=8;class Za extends Ia{get(t){return new Ga(this,t)}}Mi(\"FeatureIndexArray\",Za);class Wa extends fa{}class Ya extends fa{}class Xa extends fa{}class $a extends ma{}class Ja extends ga{}class Ka extends ya{}class Qa extends va{}class to extends xa{}class eo extends _a{}class ro extends ba{}class no extends Ta{}class io extends Aa{}class ao extends Ma{}class oo extends Pa{}const so=ua([{name:\"a_pos\",components:2,type:\"Int16\"}],4),{members:lo,size:co,alignment:uo}=so;class ho{constructor(t=[]){this.segments=t}prepareSegment(t,e,r,n){let i=this.segments[this.segments.length-1];return t>ho.MAX_VERTEX_ARRAY_LENGTH&&T(`Max vertices per segment is ${ho.MAX_VERTEX_ARRAY_LENGTH}: bucket requested ${t}`),(!i||i.vertexLength+t>ho.MAX_VERTEX_ARRAY_LENGTH||i.sortKey!==n)&&(i={vertexOffset:e.length,primitiveOffset:r.length,vertexLength:0,primitiveLength:0},void 0!==n&&(i.sortKey=n),this.segments.push(i)),i}get(){return this.segments}destroy(){for(const t of this.segments)for(const e in t.vaos)t.vaos[e].destroy()}static simpleSegment(t,e,r,n){return new ho([{vertexOffset:t,primitiveOffset:e,vertexLength:r,primitiveLength:n,vaos:{},sortKey:0}])}}function fo(t,e){return 256*(t=m(Math.floor(t),0,255))+m(Math.floor(e),0,255)}ho.MAX_VERTEX_ARRAY_LENGTH=Math.pow(2,16)-1,Mi(\"SegmentVector\",ho);const po=ua([{name:\"a_pattern_from\",components:4,type:\"Uint16\"},{name:\"a_pattern_to\",components:4,type:\"Uint16\"},{name:\"a_pixel_ratio_from\",components:1,type:\"Uint16\"},{name:\"a_pixel_ratio_to\",components:1,type:\"Uint16\"}]);var mo={exports:{}},go={exports:{}};!function(t){t.exports=function(t,e){var r,n,i,a,o,s,l,c;for(r=3&t.length,n=t.length-r,i=e,o=3432918353,s=461845907,c=0;c<n;)l=255&t.charCodeAt(c)|(255&t.charCodeAt(++c))<<8|(255&t.charCodeAt(++c))<<16|(255&t.charCodeAt(++c))<<24,++c,i=27492+(65535&(a=5*(65535&(i=(i^=l=(65535&(l=(l=(65535&l)*o+(((l>>>16)*o&65535)<<16)&4294967295)<<15|l>>>17))*s+(((l>>>16)*s&65535)<<16)&4294967295)<<13|i>>>19))+((5*(i>>>16)&65535)<<16)&4294967295))+((58964+(a>>>16)&65535)<<16);switch(l=0,r){case 3:l^=(255&t.charCodeAt(c+2))<<16;case 2:l^=(255&t.charCodeAt(c+1))<<8;case 1:i^=l=(65535&(l=(l=(65535&(l^=255&t.charCodeAt(c)))*o+(((l>>>16)*o&65535)<<16)&4294967295)<<15|l>>>17))*s+(((l>>>16)*s&65535)<<16)&4294967295}return i^=t.length,i=2246822507*(65535&(i^=i>>>16))+((2246822507*(i>>>16)&65535)<<16)&4294967295,i=3266489909*(65535&(i^=i>>>13))+((3266489909*(i>>>16)&65535)<<16)&4294967295,(i^=i>>>16)>>>0}}(go);var yo=go.exports,vo={exports:{}};!function(t){t.exports=function(t,e){for(var r,n=t.length,i=e^n,a=0;n>=4;)r=1540483477*(65535&(r=255&t.charCodeAt(a)|(255&t.charCodeAt(++a))<<8|(255&t.charCodeAt(++a))<<16|(255&t.charCodeAt(++a))<<24))+((1540483477*(r>>>16)&65535)<<16),i=1540483477*(65535&i)+((1540483477*(i>>>16)&65535)<<16)^(r=1540483477*(65535&(r^=r>>>24))+((1540483477*(r>>>16)&65535)<<16)),n-=4,++a;switch(n){case 3:i^=(255&t.charCodeAt(a+2))<<16;case 2:i^=(255&t.charCodeAt(a+1))<<8;case 1:i=1540483477*(65535&(i^=255&t.charCodeAt(a)))+((1540483477*(i>>>16)&65535)<<16)}return i=1540483477*(65535&(i^=i>>>13))+((1540483477*(i>>>16)&65535)<<16),(i^=i>>>15)>>>0}}(vo);var xo=yo,_o=vo.exports;mo.exports=xo,mo.exports.murmur3=xo,mo.exports.murmur2=_o;var bo=r(mo.exports);class wo{constructor(){this.ids=[],this.positions=[],this.indexed=!1}add(t,e,r,n){this.ids.push(To(t)),this.positions.push(e,r,n)}getPositions(t){if(!this.indexed)throw new Error(\"Trying to get index, but feature positions are not indexed\");const e=To(t);let r=0,n=this.ids.length-1;for(;r<n;){const t=r+n>>1;this.ids[t]>=e?n=t:r=t+1}const i=[];for(;this.ids[r]===e;){const t=this.positions[3*r],e=this.positions[3*r+1],n=this.positions[3*r+2];i.push({index:t,start:e,end:n}),r++}return i}static serialize(t,e){const r=new Float64Array(t.ids),n=new Uint32Array(t.positions);return ko(r,n,0,r.length-1),e&&e.push(r.buffer,n.buffer),{ids:r,positions:n}}static deserialize(t){const e=new wo;return e.ids=t.ids,e.positions=t.positions,e.indexed=!0,e}}function To(t){const e=+t;return!isNaN(e)&&e<=Number.MAX_SAFE_INTEGER?e:bo(String(t))}function ko(t,e,r,n){for(;r<n;){const i=t[r+n>>1];let a=r-1,o=n+1;for(;;){do{a++}while(t[a]<i);do{o--}while(t[o]>i);if(a>=o)break;Ao(t,a,o),Ao(e,3*a,3*o),Ao(e,3*a+1,3*o+1),Ao(e,3*a+2,3*o+2)}o-r<n-o?(ko(t,e,r,o),r=o+1):(ko(t,e,o+1,n),n=o)}}function Ao(t,e,r){const n=t[e];t[e]=t[r],t[r]=n}Mi(\"FeaturePositionMap\",wo);class Mo{constructor(t,e){this.gl=t.gl,this.location=e}}class So extends Mo{constructor(t,e){super(t,e),this.current=0}set(t){this.current!==t&&(this.current=t,this.gl.uniform1f(this.location,t))}}class Eo extends Mo{constructor(t,e){super(t,e),this.current=[0,0,0,0]}set(t){t[0]===this.current[0]&&t[1]===this.current[1]&&t[2]===this.current[2]&&t[3]===this.current[3]||(this.current=t,this.gl.uniform4f(this.location,t[0],t[1],t[2],t[3]))}}class Co extends Mo{constructor(t,e){super(t,e),this.current=Xt.transparent}set(t){t.r===this.current.r&&t.g===this.current.g&&t.b===this.current.b&&t.a===this.current.a||(this.current=t,this.gl.uniform4f(this.location,t.r,t.g,t.b,t.a))}}const Lo=new Float32Array(16);function Io(t){return[fo(255*t.r,255*t.g),fo(255*t.b,255*t.a)]}class Po{constructor(t,e,r){this.value=t,this.uniformNames=e.map((t=>`u_${t}`)),this.type=r}setUniform(t,e,r){t.set(r.constantOr(this.value))}getBinding(t,e,r){return\"color\"===this.type?new Co(t,e):new So(t,e)}}class zo{constructor(t,e){this.uniformNames=e.map((t=>`u_${t}`)),this.patternFrom=null,this.patternTo=null,this.pixelRatioFrom=1,this.pixelRatioTo=1}setConstantPatternPositions(t,e){this.pixelRatioFrom=e.pixelRatio,this.pixelRatioTo=t.pixelRatio,this.patternFrom=e.tlbr,this.patternTo=t.tlbr}setUniform(t,e,r,n){const i=\"u_pattern_to\"===n?this.patternTo:\"u_pattern_from\"===n?this.patternFrom:\"u_pixel_ratio_to\"===n?this.pixelRatioTo:\"u_pixel_ratio_from\"===n?this.pixelRatioFrom:null;i&&t.set(i)}getBinding(t,e,r){return\"u_pattern\"===r.substr(0,9)?new Eo(t,e):new So(t,e)}}class Oo{constructor(t,e,r,n){this.expression=t,this.type=r,this.maxValue=0,this.paintVertexAttributes=e.map((t=>({name:`a_${t}`,type:\"Float32\",components:\"color\"===r?2:1,offset:0}))),this.paintVertexArray=new n}populatePaintArray(t,e,r,n,i){const a=this.paintVertexArray.length,o=this.expression.evaluate(new Hi(0),e,{},n,[],i);this.paintVertexArray.resize(t),this._setPaintValue(a,t,o)}updatePaintArray(t,e,r,n){const i=this.expression.evaluate({zoom:0},r,n);this._setPaintValue(t,e,i)}_setPaintValue(t,e,r){if(\"color\"===this.type){const n=Io(r);for(let r=t;r<e;r++)this.paintVertexArray.emplace(r,n[0],n[1])}else{for(let n=t;n<e;n++)this.paintVertexArray.emplace(n,r);this.maxValue=Math.max(this.maxValue,Math.abs(r))}}upload(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))}destroy(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()}}class Do{constructor(t,e,r,n,i,a){this.expression=t,this.uniformNames=e.map((t=>`u_${t}_t`)),this.type=r,this.useIntegerZoom=n,this.zoom=i,this.maxValue=0,this.paintVertexAttributes=e.map((t=>({name:`a_${t}`,type:\"Float32\",components:\"color\"===r?4:2,offset:0}))),this.paintVertexArray=new a}populatePaintArray(t,e,r,n,i){const a=this.expression.evaluate(new Hi(this.zoom),e,{},n,[],i),o=this.expression.evaluate(new Hi(this.zoom+1),e,{},n,[],i),s=this.paintVertexArray.length;this.paintVertexArray.resize(t),this._setPaintValue(s,t,a,o)}updatePaintArray(t,e,r,n){const i=this.expression.evaluate({zoom:this.zoom},r,n),a=this.expression.evaluate({zoom:this.zoom+1},r,n);this._setPaintValue(t,e,i,a)}_setPaintValue(t,e,r,n){if(\"color\"===this.type){const i=Io(r),a=Io(n);for(let r=t;r<e;r++)this.paintVertexArray.emplace(r,i[0],i[1],a[0],a[1])}else{for(let i=t;i<e;i++)this.paintVertexArray.emplace(i,r,n);this.maxValue=Math.max(this.maxValue,Math.abs(r),Math.abs(n))}}upload(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))}destroy(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()}setUniform(t,e){const r=this.useIntegerZoom?Math.floor(e.zoom):e.zoom,n=m(this.expression.interpolationFactor(r,this.zoom,this.zoom+1),0,1);t.set(n)}getBinding(t,e,r){return new So(t,e)}}class Ro{constructor(t,e,r,n,i,a){this.expression=t,this.type=e,this.useIntegerZoom=r,this.zoom=n,this.layerId=a,this.zoomInPaintVertexArray=new i,this.zoomOutPaintVertexArray=new i}populatePaintArray(t,e,r){const n=this.zoomInPaintVertexArray.length;this.zoomInPaintVertexArray.resize(t),this.zoomOutPaintVertexArray.resize(t),this._setPaintValues(n,t,e.patterns&&e.patterns[this.layerId],r)}updatePaintArray(t,e,r,n,i){this._setPaintValues(t,e,r.patterns&&r.patterns[this.layerId],i)}_setPaintValues(t,e,r,n){if(!n||!r)return;const{min:i,mid:a,max:o}=r,s=n[i],l=n[a],c=n[o];if(s&&l&&c)for(let r=t;r<e;r++)this.zoomInPaintVertexArray.emplace(r,l.tl[0],l.tl[1],l.br[0],l.br[1],s.tl[0],s.tl[1],s.br[0],s.br[1],l.pixelRatio,s.pixelRatio),this.zoomOutPaintVertexArray.emplace(r,l.tl[0],l.tl[1],l.br[0],l.br[1],c.tl[0],c.tl[1],c.br[0],c.br[1],l.pixelRatio,c.pixelRatio)}upload(t){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=t.createVertexBuffer(this.zoomInPaintVertexArray,po.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=t.createVertexBuffer(this.zoomOutPaintVertexArray,po.members,this.expression.isStateDependent))}destroy(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()}}class Fo{constructor(t,e,r){this.binders={},this._buffers=[];const n=[];for(const i in t.paint._values){if(!r(i))continue;const a=t.paint.get(i);if(!(a instanceof Ji&&hn(a.property.specification)))continue;const o=No(i,t.type),s=a.value,l=a.property.specification.type,c=a.property.useIntegerZoom,u=a.property.specification[\"property-type\"],h=\"cross-faded\"===u||\"cross-faded-data-driven\"===u;if(\"constant\"===s.kind)this.binders[i]=h?new zo(s.value,o):new Po(s.value,o,l),n.push(`/u_${i}`);else if(\"source\"===s.kind||h){const r=jo(i,l,\"source\");this.binders[i]=h?new Ro(s,l,c,e,r,t.id):new Oo(s,o,l,r),n.push(`/a_${i}`)}else{const t=jo(i,l,\"composite\");this.binders[i]=new Do(s,o,l,c,e,t),n.push(`/z_${i}`)}}this.cacheKey=n.sort().join(\"\")}getMaxValue(t){const e=this.binders[t];return e instanceof Oo||e instanceof Do?e.maxValue:0}populatePaintArrays(t,e,r,n,i){for(const a in this.binders){const o=this.binders[a];(o instanceof Oo||o instanceof Do||o instanceof Ro)&&o.populatePaintArray(t,e,r,n,i)}}setConstantPatternPositions(t,e){for(const r in this.binders){const n=this.binders[r];n instanceof zo&&n.setConstantPatternPositions(t,e)}}updatePaintArrays(t,e,r,n,i){let a=!1;for(const o in t){const s=e.getPositions(o);for(const e of s){const s=r.feature(e.index);for(const r in this.binders){const l=this.binders[r];if((l instanceof Oo||l instanceof Do||l instanceof Ro)&&!0===l.expression.isStateDependent){const c=n.paint.get(r);l.expression=c.value,l.updatePaintArray(e.start,e.end,s,t[o],i),a=!0}}}}return a}defines(){const t=[];for(const e in this.binders){const r=this.binders[e];(r instanceof Po||r instanceof zo)&&t.push(...r.uniformNames.map((t=>`#define HAS_UNIFORM_${t}`)))}return t}getBinderAttributes(){const t=[];for(const e in this.binders){const r=this.binders[e];if(r instanceof Oo||r instanceof Do)for(let e=0;e<r.paintVertexAttributes.length;e++)t.push(r.paintVertexAttributes[e].name);else if(r instanceof Ro)for(let e=0;e<po.members.length;e++)t.push(po.members[e].name)}return t}getBinderUniforms(){const t=[];for(const e in this.binders){const r=this.binders[e];if(r instanceof Po||r instanceof zo||r instanceof Do)for(const e of r.uniformNames)t.push(e)}return t}getPaintVertexBuffers(){return this._buffers}getUniforms(t,e){const r=[];for(const n in this.binders){const i=this.binders[n];if(i instanceof Po||i instanceof zo||i instanceof Do)for(const a of i.uniformNames)if(e[a]){const o=i.getBinding(t,e[a],a);r.push({name:a,property:n,binding:o})}}return r}setUniforms(t,e,r,n){for(const{name:t,property:i,binding:a}of e)this.binders[i].setUniform(a,n,r.get(i),t)}updatePaintBuffers(t){this._buffers=[];for(const e in this.binders){const r=this.binders[e];if(t&&r instanceof Ro){const e=2===t.fromScale?r.zoomInPaintVertexBuffer:r.zoomOutPaintVertexBuffer;e&&this._buffers.push(e)}else(r instanceof Oo||r instanceof Do)&&r.paintVertexBuffer&&this._buffers.push(r.paintVertexBuffer)}}upload(t){for(const e in this.binders){const r=this.binders[e];(r instanceof Oo||r instanceof Do||r instanceof Ro)&&r.upload(t)}this.updatePaintBuffers()}destroy(){for(const t in this.binders){const e=this.binders[t];(e instanceof Oo||e instanceof Do||e instanceof Ro)&&e.destroy()}}}class Bo{constructor(t,e,r=(()=>!0)){this.programConfigurations={};for(const n of t)this.programConfigurations[n.id]=new Fo(n,e,r);this.needsUpload=!1,this._featureMap=new wo,this._bufferOffset=0}populatePaintArrays(t,e,r,n,i,a){for(const r in this.programConfigurations)this.programConfigurations[r].populatePaintArrays(t,e,n,i,a);void 0!==e.id&&this._featureMap.add(e.id,r,this._bufferOffset,t),this._bufferOffset=t,this.needsUpload=!0}updatePaintArrays(t,e,r,n){for(const i of r)this.needsUpload=this.programConfigurations[i.id].updatePaintArrays(t,this._featureMap,e,i,n)||this.needsUpload}get(t){return this.programConfigurations[t]}upload(t){if(this.needsUpload){for(const e in this.programConfigurations)this.programConfigurations[e].upload(t);this.needsUpload=!1}}destroy(){for(const t in this.programConfigurations)this.programConfigurations[t].destroy()}}function No(t,e){return{\"text-opacity\":[\"opacity\"],\"icon-opacity\":[\"opacity\"],\"text-color\":[\"fill_color\"],\"icon-color\":[\"fill_color\"],\"text-halo-color\":[\"halo_color\"],\"icon-halo-color\":[\"halo_color\"],\"text-halo-blur\":[\"halo_blur\"],\"icon-halo-blur\":[\"halo_blur\"],\"text-halo-width\":[\"halo_width\"],\"icon-halo-width\":[\"halo_width\"],\"line-gap-width\":[\"gapwidth\"],\"line-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-extrusion-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"]}[t]||[t.replace(`${e}-`,\"\").replace(/-/g,\"_\")]}function jo(t,e,r){const n={color:{source:ya,composite:Oa},number:{source:Ca,composite:ya}},i=function(t){return{\"line-pattern\":{source:Qa,composite:Qa},\"fill-pattern\":{source:Qa,composite:Qa},\"fill-extrusion-pattern\":{source:Qa,composite:Qa}}[t]}(t);return 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Ya,this.indexArray=new ao,this.segments=new ho,this.programConfigurations=new Bo(t.layers,t.zoom),this.stateDependentLayerIds=this.layers.filter((t=>t.isStateDependent())).map((t=>t.id))}populate(t,e,r){const n=this.layers[0],i=[];let a=null,o=!1;\"circle\"===n.type&&(a=n.layout.get(\"circle-sort-key\"),o=!a.isConstant());for(const{feature:e,id:n,index:s,sourceLayerIndex:l}of t){const t=this.layers[0]._featureFilter.needGeometry,c=Go(e,t);if(!this.layers[0]._featureFilter.filter(new Hi(this.zoom),c,r))continue;const u=o?a.evaluate(c,{},r):void 0,h={id:n,properties:e.properties,type:e.type,sourceLayerIndex:l,index:s,geometry:t?c.geometry:Ho(e),patterns:{},sortKey:u};i.push(h)}o&&i.sort(((t,e)=>t.sortKey-e.sortKey));for(const n of i){const{geometry:i,index:a,sourceLayerIndex:o}=n,s=t[a].feature;this.addFeature(n,i,a,r),e.featureIndex.insert(s,i,a,o,this.index)}}update(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)}isEmpty(){return 0===this.layoutVertexArray.length}uploadPending(){return!this.uploaded||this.programConfigurations.needsUpload}upload(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,lo),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())}addFeature(t,e,r,n){for(const r of e)for(const e of r){const r=e.x,n=e.y;if(r<0||r>=Uo||n<0||n>=Uo)continue;const i=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray,t.sortKey),a=i.vertexLength;Zo(this.layoutVertexArray,r,n,-1,-1),Zo(this.layoutVertexArray,r,n,1,-1),Zo(this.layoutVertexArray,r,n,1,1),Zo(this.layoutVertexArray,r,n,-1,1),this.indexArray.emplaceBack(a,a+1,a+2),this.indexArray.emplaceBack(a,a+3,a+2),i.vertexLength+=4,i.primitiveLength+=2}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,{},n)}}function Yo(t,e){for(let r=0;r<t.length;r++)if(ns(e,t[r]))return!0;for(let r=0;r<e.length;r++)if(ns(t,e[r]))return!0;return!!Ko(t,e)}function Xo(t,e,r){return!!ns(t,e)||!!ts(e,t,r)}function $o(t,e){if(1===t.length)return rs(e,t[0]);for(let r=0;r<e.length;r++){const n=e[r];for(let e=0;e<n.length;e++)if(ns(t,n[e]))return!0}for(let r=0;r<t.length;r++)if(rs(e,t[r]))return!0;for(let r=0;r<e.length;r++)if(Ko(t,e[r]))return!0;return!1}function Jo(t,e,r){if(t.length>1){if(Ko(t,e))return!0;for(let n=0;n<e.length;n++)if(ts(e[n],t,r))return!0}for(let 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Qi(Z.paint_circle[\"circle-translate\"]),\"circle-translate-anchor\":new Qi(Z.paint_circle[\"circle-translate-anchor\"]),\"circle-pitch-scale\":new Qi(Z.paint_circle[\"circle-pitch-scale\"]),\"circle-pitch-alignment\":new Qi(Z.paint_circle[\"circle-pitch-alignment\"]),\"circle-stroke-width\":new ta(Z.paint_circle[\"circle-stroke-width\"]),\"circle-stroke-color\":new ta(Z.paint_circle[\"circle-stroke-color\"]),\"circle-stroke-opacity\":new ta(Z.paint_circle[\"circle-stroke-opacity\"])})},get layout(){return ls=ls||new ia({\"circle-sort-key\":new ta(Z.layout_circle[\"circle-sort-key\"])})}},hs=1e-6,fs=\"undefined\"!=typeof Float32Array?Float32Array:Array;function ps(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}function ds(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],h=e[8],f=e[9],p=e[10],d=e[11],m=e[12],g=e[13],y=e[14],v=e[15],x=r[0],_=r[1],b=r[2],w=r[3];return t[0]=x*n+_*s+b*h+w*m,t[1]=x*i+_*l+b*f+w*g,t[2]=x*a+_*c+b*p+w*y,t[3]=x*o+_*u+b*d+w*v,x=r[4],_=r[5],b=r[6],w=r[7],t[4]=x*n+_*s+b*h+w*m,t[5]=x*i+_*l+b*f+w*g,t[6]=x*a+_*c+b*p+w*y,t[7]=x*o+_*u+b*d+w*v,x=r[8],_=r[9],b=r[10],w=r[11],t[8]=x*n+_*s+b*h+w*m,t[9]=x*i+_*l+b*f+w*g,t[10]=x*a+_*c+b*p+w*y,t[11]=x*o+_*u+b*d+w*v,x=r[12],_=r[13],b=r[14],w=r[15],t[12]=x*n+_*s+b*h+w*m,t[13]=x*i+_*l+b*f+w*g,t[14]=x*a+_*c+b*p+w*y,t[15]=x*o+_*u+b*d+w*v,t}Math.hypot||(Math.hypot=function(){for(var t=0,e=arguments.length;e--;)t+=arguments[e]*arguments[e];return Math.sqrt(t)});var ms=function(t,e,r,n,i){var a,o=1/Math.tan(e/2);return t[0]=o/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=o,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=-1,t[12]=0,t[13]=0,t[15]=0,null!=i&&i!==1/0?(a=1/(n-i),t[10]=(i+n)*a,t[14]=2*i*n*a):(t[10]=-1,t[14]=-2*n),t};var gs=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t};var ys=ds;function vs(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3];return t[0]=r[0]*n+r[4]*i+r[8]*a+r[12]*o,t[1]=r[1]*n+r[5]*i+r[9]*a+r[13]*o,t[2]=r[2]*n+r[6]*i+r[10]*a+r[14]*o,t[3]=r[3]*n+r[7]*i+r[11]*a+r[15]*o,t}var xs,_s=function(t,e,r){return t[0]=e[0]*r[0],t[1]=e[1]*r[1],t[2]=e[2]*r[2],t[3]=e[3]*r[3],t};xs=new fs(4),fs!=Float32Array&&(xs[0]=0,xs[1]=0,xs[2]=0,xs[3]=0);class bs extends oa{constructor(t){super(t,us)}createBucket(t){return new Wo(t)}queryRadius(t){const e=t;return as(\"circle-radius\",this,e)+as(\"circle-stroke-width\",this,e)+os(this.paint.get(\"circle-translate\"))}queryIntersectsFeature(t,e,r,n,i,a,o,s){const l=ss(t,this.paint.get(\"circle-translate\"),this.paint.get(\"circle-translate-anchor\"),a.angle,o),c=this.paint.get(\"circle-radius\").evaluate(e,r)+this.paint.get(\"circle-stroke-width\").evaluate(e,r),u=\"map\"===this.paint.get(\"circle-pitch-alignment\"),h=u?l:function(t,e){return t.map((t=>ws(t,e)))}(l,s),f=u?c*o:c;for(const t of n)for(const e of t){const t=u?e:ws(e,s);let r=f;const n=vs([],[e.x,e.y,0,1],s);if(\"viewport\"===this.paint.get(\"circle-pitch-scale\")&&\"map\"===this.paint.get(\"circle-pitch-alignment\")?r*=n[3]/a.cameraToCenterDistance:\"map\"===this.paint.get(\"circle-pitch-scale\")&&\"viewport\"===this.paint.get(\"circle-pitch-alignment\")&&(r*=a.cameraToCenterDistance/n[3]),Xo(h,t,r))return!0}return!1}}function ws(t,e){const r=vs([],[t.x,t.y,0,1],e);return new a(r[0]/r[3],r[1]/r[3])}class Ts extends Wo{}let ks;Mi(\"HeatmapBucket\",Ts,{omit:[\"layers\"]});var As={get paint(){return ks=ks||new ia({\"heatmap-radius\":new 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ta(Z.paint_fill[\"fill-outline-color\"]),\"fill-translate\":new Qi(Z.paint_fill[\"fill-translate\"]),\"fill-translate-anchor\":new Qi(Z.paint_fill[\"fill-translate-anchor\"]),\"fill-pattern\":new ea(Z.paint_fill[\"fill-pattern\"])})},get layout(){return dl=dl||new ia({\"fill-sort-key\":new ta(Z.layout_fill[\"fill-sort-key\"])})}};class yl extends oa{constructor(t){super(t,gl)}recalculate(t,e){super.recalculate(t,e);const r=this.paint._values[\"fill-outline-color\"];\"constant\"===r.value.kind&&void 0===r.value.value&&(this.paint._values[\"fill-outline-color\"]=this.paint._values[\"fill-color\"])}createBucket(t){return new pl(t)}queryRadius(){return os(this.paint.get(\"fill-translate\"))}queryIntersectsFeature(t,e,r,n,i,a,o){return $o(ss(t,this.paint.get(\"fill-translate\"),this.paint.get(\"fill-translate-anchor\"),a.angle,o),n)}isTileClipped(){return!0}}const vl=ua([{name:\"a_pos\",components:2,type:\"Int16\"},{name:\"a_normal_ed\",components:4,type:\"Int16\"}],4),xl=ua([{name:\"a_centroid\",components:2,type:\"Int16\"}],4),{members:_l,size:bl,alignment:wl}=vl;var Tl={},kl=n,Al=Ml;function Ml(t,e,r,n,i){this.properties={},this.extent=r,this.type=0,this._pbf=t,this._geometry=-1,this._keys=n,this._values=i,t.readFields(Sl,this,e)}function Sl(t,e,r){1==t?e.id=r.readVarint():2==t?function(t,e){for(var r=t.readVarint()+t.pos;t.pos<r;){var n=e._keys[t.readVarint()],i=e._values[t.readVarint()];e.properties[n]=i}}(r,e):3==t?e.type=r.readVarint():4==t&&(e._geometry=r.pos)}function El(t){for(var e,r,n=0,i=0,a=t.length,o=a-1;i<a;o=i++)e=t[i],n+=((r=t[o]).x-e.x)*(e.y+r.y);return n}Ml.types=[\"Unknown\",\"Point\",\"LineString\",\"Polygon\"],Ml.prototype.loadGeometry=function(){var t=this._pbf;t.pos=this._geometry;for(var e,r=t.readVarint()+t.pos,n=1,i=0,a=0,o=0,s=[];t.pos<r;){if(i<=0){var l=t.readVarint();n=7&l,i=l>>3}if(i--,1===n||2===n)a+=t.readSVarint(),o+=t.readSVarint(),1===n&&(e&&s.push(e),e=[]),e.push(new kl(a,o));else{if(7!==n)throw new Error(\"unknown command \"+n);e&&e.push(e[0].clone())}}return e&&s.push(e),s},Ml.prototype.bbox=function(){var t=this._pbf;t.pos=this._geometry;for(var e=t.readVarint()+t.pos,r=1,n=0,i=0,a=0,o=1/0,s=-1/0,l=1/0,c=-1/0;t.pos<e;){if(n<=0){var u=t.readVarint();r=7&u,n=u>>3}if(n--,1===r||2===r)(i+=t.readSVarint())<o&&(o=i),i>s&&(s=i),(a+=t.readSVarint())<l&&(l=a),a>c&&(c=a);else if(7!==r)throw new Error(\"unknown command \"+r)}return[o,l,s,c]},Ml.prototype.toGeoJSON=function(t,e,r){var n,i,a=this.extent*Math.pow(2,r),o=this.extent*t,s=this.extent*e,l=this.loadGeometry(),c=Ml.types[this.type];function u(t){for(var e=0;e<t.length;e++){var r=t[e],n=180-360*(r.y+s)/a;t[e]=[360*(r.x+o)/a-180,360/Math.PI*Math.atan(Math.exp(n*Math.PI/180))-90]}}switch(this.type){case 1:var h=[];for(n=0;n<l.length;n++)h[n]=l[n][0];u(l=h);break;case 2:for(n=0;n<l.length;n++)u(l[n]);break;case 3:for(l=function(t){var e=t.length;if(e<=1)return[t];for(var r,n,i=[],a=0;a<e;a++){var o=El(t[a]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&i.push(r),r=[t[a]]):r.push(t[a]))}return r&&i.push(r),i}(l),n=0;n<l.length;n++)for(i=0;i<l[n].length;i++)u(l[n][i])}1===l.length?l=l[0]:c=\"Multi\"+c;var f={type:\"Feature\",geometry:{type:c,coordinates:l},properties:this.properties};return\"id\"in this&&(f.id=this.id),f};var Cl=Al,Ll=Il;function Il(t,e){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=t,this._keys=[],this._values=[],this._features=[],t.readFields(Pl,this,e),this.length=this._features.length}function Pl(t,e,r){15===t?e.version=r.readVarint():1===t?e.name=r.readString():5===t?e.extent=r.readVarint():2===t?e._features.push(r.pos):3===t?e._keys.push(r.readString()):4===t&&e._values.push(function(t){for(var e=null,r=t.readVarint()+t.pos;t.pos<r;){var n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}Il.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error(\"feature index out of bounds\");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new Cl(this._pbf,e,this.extent,this._keys,this._values)};var zl=Ll,Ol=function(t,e){this.layers=t.readFields(Dl,{},e)};function Dl(t,e,r){if(3===t){var n=new zl(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Tl.VectorTile=Ol,Tl.VectorTileFeature=Al,Tl.VectorTileLayer=Ll;const Rl=Tl.VectorTileFeature.types,Fl=Math.pow(2,13);function Bl(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*Fl)+o,i*Fl*2,a*Fl*2,Math.round(s))}class Nl{constructor(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((t=>t.id)),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new $a,this.centroidVertexArray=new Wa,this.indexArray=new ao,this.programConfigurations=new Bo(t.layers,t.zoom),this.segments=new ho,this.stateDependentLayerIds=this.layers.filter((t=>t.isStateDependent())).map((t=>t.id))}populate(t,e,r){this.features=[],this.hasPattern=hl(\"fill-extrusion\",this.layers,e);for(const{feature:n,id:i,index:a,sourceLayerIndex:o}of t){const t=this.layers[0]._featureFilter.needGeometry,s=Go(n,t);if(!this.layers[0]._featureFilter.filter(new Hi(this.zoom),s,r))continue;const l={id:i,sourceLayerIndex:o,index:a,geometry:t?s.geometry:Ho(n),properties:n.properties,type:n.type,patterns:{}};this.hasPattern?this.features.push(fl(\"fill-extrusion\",this.layers,l,this.zoom,e)):this.addFeature(l,l.geometry,a,r,{}),e.featureIndex.insert(n,l.geometry,a,o,this.index,!0)}}addFeatures(t,e,r){for(const t of this.features){const{geometry:n}=t;this.addFeature(t,n,t.index,e,r)}}update(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)}isEmpty(){return 0===this.layoutVertexArray.length&&0===this.centroidVertexArray.length}uploadPending(){return!this.uploaded||this.programConfigurations.needsUpload}upload(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,_l),this.centroidVertexBuffer=t.createVertexBuffer(this.centroidVertexArray,xl.members,!0),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.centroidVertexBuffer.destroy())}addFeature(t,e,r,n,i){for(const r of br(e,500)){const e={x:0,y:0,vertexCount:0};let n=0;for(const t of r)n+=t.length;let i=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray);for(const t of r){if(0===t.length)continue;if(Ul(t))continue;let r=0;for(let n=0;n<t.length;n++){const a=t[n];if(n>=1){const o=t[n-1];if(!jl(a,o)){i.vertexLength+4>ho.MAX_VERTEX_ARRAY_LENGTH&&(i=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));const t=a.sub(o)._perp()._unit(),n=o.dist(a);r+n>32768&&(r=0),Bl(this.layoutVertexArray,a.x,a.y,t.x,t.y,0,0,r),Bl(this.layoutVertexArray,a.x,a.y,t.x,t.y,0,1,r),e.x+=2*a.x,e.y+=2*a.y,e.vertexCount+=2,r+=n,Bl(this.layoutVertexArray,o.x,o.y,t.x,t.y,0,0,r),Bl(this.layoutVertexArray,o.x,o.y,t.x,t.y,0,1,r),e.x+=2*o.x,e.y+=2*o.y,e.vertexCount+=2;const s=i.vertexLength;this.indexArray.emplaceBack(s,s+2,s+1),this.indexArray.emplaceBack(s+1,s+2,s+3),i.vertexLength+=4,i.primitiveLength+=2}}}}if(i.vertexLength+n>ho.MAX_VERTEX_ARRAY_LENGTH&&(i=this.segments.prepareSegment(n,this.layoutVertexArray,this.indexArray)),\"Polygon\"!==Rl[t.type])continue;const a=[],o=[],s=i.vertexLength;for(const t of r)if(0!==t.length){t!==r[0]&&o.push(a.length/2);for(let r=0;r<t.length;r++){const n=t[r];Bl(this.layoutVertexArray,n.x,n.y,0,0,1,1,0),e.x+=n.x,e.y+=n.y,e.vertexCount+=1,a.push(n.x),a.push(n.y)}}const l=js(a,o);for(let t=0;t<l.length;t+=3)this.indexArray.emplaceBack(s+l[t],s+l[t+2],s+l[t+1]);i.primitiveLength+=l.length/3,i.vertexLength+=n;for(let t=0;t<e.vertexCount;t++){const t=Math.floor(e.x/e.vertexCount),r=Math.floor(e.y/e.vertexCount);this.centroidVertexArray.emplaceBack(t,r)}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)}}function jl(t,e){return t.x===e.x&&(t.x<0||t.x>Uo)||t.y===e.y&&(t.y<0||t.y>Uo)}function Ul(t){return t.every((t=>t.x<0))||t.every((t=>t.x>Uo))||t.every((t=>t.y<0))||t.every((t=>t.y>Uo))}let Vl;Mi(\"FillExtrusionBucket\",Nl,{omit:[\"layers\",\"features\"]});var ql={get paint(){return Vl=Vl||new ia({\"fill-extrusion-opacity\":new Qi(Z[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new ta(Z[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new Qi(Z[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new Qi(Z[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new ea(Z[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new ta(Z[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new ta(Z[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new Qi(Z[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})}};class Hl extends oa{constructor(t){super(t,ql)}createBucket(t){return new Nl(t)}queryRadius(){return os(this.paint.get(\"fill-extrusion-translate\"))}is3D(){return!0}queryIntersectsFeature(t,e,r,n,i,o,s,l){const c=ss(t,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),o.angle,s),u=this.paint.get(\"fill-extrusion-height\").evaluate(e,r),h=this.paint.get(\"fill-extrusion-base\").evaluate(e,r),f=function(t,e,r,n){const i=[];for(const r of t){const t=[r.x,r.y,n,1];vs(t,t,e),i.push(new a(t[0]/t[3],t[1]/t[3]))}return i}(c,l,0,0),p=function(t,e,r,n){const i=[],o=[],s=n[8]*e,l=n[9]*e,c=n[10]*e,u=n[11]*e,h=n[8]*r,f=n[9]*r,p=n[10]*r,d=n[11]*r;for(const e of t){const t=[],r=[];for(const i of e){const e=i.x,o=i.y,m=n[0]*e+n[4]*o+n[12],g=n[1]*e+n[5]*o+n[13],y=n[2]*e+n[6]*o+n[14],v=n[3]*e+n[7]*o+n[15],x=y+c,_=v+u,b=m+h,w=g+f,T=y+p,k=v+d,A=new a((m+s)/_,(g+l)/_);A.z=x/_,t.push(A);const M=new a(b/k,w/k);M.z=T/k,r.push(M)}i.push(t),o.push(r)}return[i,o]}(n,h,u,l);return function(t,e,r){let n=1/0;$o(r,e)&&(n=Zl(r,e[0]));for(let i=0;i<e.length;i++){const a=e[i],o=t[i];for(let t=0;t<a.length-1;t++){const e=a[t],i=a[t+1],s=o[t],l=[e,i,o[t+1],s,e];Yo(r,l)&&(n=Math.min(n,Zl(r,l)))}}return n!==1/0&&n}(p[0],p[1],f)}}function Gl(t,e){return t.x*e.x+t.y*e.y}function Zl(t,e){if(1===t.length){let r=0;const n=e[r++];let i;for(;!i||n.equals(i);)if(i=e[r++],!i)return 1/0;for(;r<e.length;r++){const a=e[r],o=t[0],s=i.sub(n),l=a.sub(n),c=o.sub(n),u=Gl(s,s),h=Gl(s,l),f=Gl(l,l),p=Gl(c,s),d=Gl(c,l),m=u*f-h*h,g=(f*p-h*d)/m,y=(u*d-h*p)/m,v=1-g-y,x=n.z*v+i.z*g+a.z*y;if(isFinite(x))return x}return 1/0}{let t=1/0;for(const r of e)t=Math.min(t,r.z);return t}}const Wl=ua([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4),{members:Yl,size:Xl,alignment:$l}=Wl,Jl=ua([{name:\"a_uv_x\",components:1,type:\"Float32\"},{name:\"a_split_index\",components:1,type:\"Float32\"}]),{members:Kl,size:Ql,alignment:tc}=Jl,ec=Tl.VectorTileFeature.types,rc=Math.cos(Math.PI/180*37.5),nc=Math.pow(2,14)/.5;class ic{constructor(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((t=>t.id)),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.lineClipsArray=[],this.gradients={},this.layers.forEach((t=>{this.gradients[t.id]={}})),this.layoutVertexArray=new Ja,this.layoutVertexArray2=new Ka,this.indexArray=new ao,this.programConfigurations=new Bo(t.layers,t.zoom),this.segments=new ho,this.maxLineLength=0,this.stateDependentLayerIds=this.layers.filter((t=>t.isStateDependent())).map((t=>t.id))}populate(t,e,r){this.hasPattern=hl(\"line\",this.layers,e);const n=this.layers[0].layout.get(\"line-sort-key\"),i=!n.isConstant(),a=[];for(const{feature:e,id:o,index:s,sourceLayerIndex:l}of t){const t=this.layers[0]._featureFilter.needGeometry,c=Go(e,t);if(!this.layers[0]._featureFilter.filter(new Hi(this.zoom),c,r))continue;const u=i?n.evaluate(c,{},r):void 0,h={id:o,properties:e.properties,type:e.type,sourceLayerIndex:l,index:s,geometry:t?c.geometry:Ho(e),patterns:{},sortKey:u};a.push(h)}i&&a.sort(((t,e)=>t.sortKey-e.sortKey));for(const n of a){const{geometry:i,index:a,sourceLayerIndex:o}=n;if(this.hasPattern){const t=fl(\"line\",this.layers,n,this.zoom,e);this.patternFeatures.push(t)}else this.addFeature(n,i,a,r,{});const s=t[a].feature;e.featureIndex.insert(s,i,a,o,this.index)}}update(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)}addFeatures(t,e,r){for(const t of this.patternFeatures)this.addFeature(t,t.geometry,t.index,e,r)}isEmpty(){return 0===this.layoutVertexArray.length}uploadPending(){return!this.uploaded||this.programConfigurations.needsUpload}upload(t){this.uploaded||(0!==this.layoutVertexArray2.length&&(this.layoutVertexBuffer2=t.createVertexBuffer(this.layoutVertexArray2,Kl)),this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Yl),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())}lineFeatureClips(t){if(t.properties&&Object.prototype.hasOwnProperty.call(t.properties,\"mapbox_clip_start\")&&Object.prototype.hasOwnProperty.call(t.properties,\"mapbox_clip_end\"))return{start:+t.properties.mapbox_clip_start,end:+t.properties.mapbox_clip_end}}addFeature(t,e,r,n,i){const a=this.layers[0].layout,o=a.get(\"line-join\").evaluate(t,{}),s=a.get(\"line-cap\"),l=a.get(\"line-miter-limit\"),c=a.get(\"line-round-limit\");this.lineClips=this.lineFeatureClips(t);for(const r of e)this.addLine(r,t,o,s,l,c);this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)}addLine(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,this.lineClips){this.lineClipsArray.push(this.lineClips);for(let e=0;e<t.length-1;e++)this.totalDistance+=t[e].dist(t[e+1]);this.updateScaledDistance(),this.maxLineLength=Math.max(this.maxLineLength,this.totalDistance)}const o=\"Polygon\"===ec[e.type];let s=t.length;for(;s>=2&&t[s-1].equals(t[s-2]);)s--;let l=0;for(;l<s-1&&t[l].equals(t[l+1]);)l++;if(s<(o?3:2))return;\"bevel\"===r&&(i=1.05);const c=this.overscaling<=16?15*Uo/(512*this.overscaling):0,u=this.segments.prepareSegment(10*s,this.layoutVertexArray,this.indexArray);let h,f,p,d,m;this.e1=this.e2=-1,o&&(h=t[s-2],m=t[l].sub(h)._unit()._perp());for(let e=l;e<s;e++){if(p=e===s-1?o?t[l+1]:void 0:t[e+1],p&&t[e].equals(p))continue;m&&(d=m),h&&(f=h),h=t[e],m=p?p.sub(h)._unit()._perp():d,d=d||m;let g=d.add(m);0===g.x&&0===g.y||g._unit();const y=d.x*m.x+d.y*m.y,v=g.x*m.x+g.y*m.y,x=0!==v?1/v:1/0,_=2*Math.sqrt(2-2*v),b=v<rc&&f&&p,w=d.x*m.y-d.y*m.x>0;if(b&&e>l){const t=h.dist(f);if(t>2*c){const e=h.sub(h.sub(f)._mult(c/t)._round());this.updateDistance(f,e),this.addCurrentVertex(e,d,0,0,u),f=e}}const T=f&&p;let k=T?r:o?\"butt\":n;if(T&&\"round\"===k&&(x<a?k=\"miter\":x<=2&&(k=\"fakeround\")),\"miter\"===k&&x>i&&(k=\"bevel\"),\"bevel\"===k&&(x>2&&(k=\"flipbevel\"),x<i&&(k=\"miter\")),f&&this.updateDistance(f,h),\"miter\"===k)g._mult(x),this.addCurrentVertex(h,g,0,0,u);else if(\"flipbevel\"===k){if(x>100)g=m.mult(-1);else{const t=x*d.add(m).mag()/d.sub(m).mag();g._perp()._mult(t*(w?-1:1))}this.addCurrentVertex(h,g,0,0,u),this.addCurrentVertex(h,g.mult(-1),0,0,u)}else if(\"bevel\"===k||\"fakeround\"===k){const t=-Math.sqrt(x*x-1),e=w?t:0,r=w?0:t;if(f&&this.addCurrentVertex(h,d,e,r,u),\"fakeround\"===k){const t=Math.round(180*_/Math.PI/20);for(let e=1;e<t;e++){let r=e/t;if(.5!==r){const t=r-.5;r+=r*t*(r-1)*((1.0904+y*(y*(3.55645-1.43519*y)-3.2452))*t*t+(.848013+y*(.215638*y-1.06021)))}const n=m.sub(d)._mult(r)._add(d)._unit()._mult(w?-1:1);this.addHalfVertex(h,n.x,n.y,!1,w,0,u)}}p&&this.addCurrentVertex(h,m,-e,-r,u)}else if(\"butt\"===k)this.addCurrentVertex(h,g,0,0,u);else if(\"square\"===k){const t=f?1:-1;this.addCurrentVertex(h,g,t,t,u)}else\"round\"===k&&(f&&(this.addCurrentVertex(h,d,0,0,u),this.addCurrentVertex(h,d,1,1,u,!0)),p&&(this.addCurrentVertex(h,m,-1,-1,u,!0),this.addCurrentVertex(h,m,0,0,u)));if(b&&e<s-1){const t=h.dist(p);if(t>2*c){const e=h.add(p.sub(h)._mult(c/t)._round());this.updateDistance(h,e),this.addCurrentVertex(e,m,0,0,u),h=e}}}}addCurrentVertex(t,e,r,n,i,a=!1){const o=e.x+e.y*r,s=e.y-e.x*r,l=-e.x+e.y*n,c=-e.y-e.x*n;this.addHalfVertex(t,o,s,a,!1,r,i),this.addHalfVertex(t,l,c,a,!0,-n,i),this.distance>nc/2&&0===this.totalDistance&&(this.distance=0,this.updateScaledDistance(),this.addCurrentVertex(t,e,r,n,i,a))}addHalfVertex({x:t,y:e},r,n,i,a,o,s){const l=.5*(this.lineClips?this.scaledDistance*(nc-1):this.scaledDistance);if(this.layoutVertexArray.emplaceBack((t<<1)+(i?1:0),(e<<1)+(a?1:0),Math.round(63*r)+128,Math.round(63*n)+128,1+(0===o?0:o<0?-1:1)|(63&l)<<2,l>>6),this.lineClips){const t=(this.scaledDistance-this.lineClips.start)/(this.lineClips.end-this.lineClips.start);this.layoutVertexArray2.emplaceBack(t,this.lineClipsArray.length)}const 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ra(Z.paint_line[\"line-dasharray\"]),\"line-pattern\":new ea(Z.paint_line[\"line-pattern\"]),\"line-gradient\":new na(Z.paint_line[\"line-gradient\"])})},get layout(){return ac=ac||new ia({\"line-cap\":new Qi(Z.layout_line[\"line-cap\"]),\"line-join\":new ta(Z.layout_line[\"line-join\"]),\"line-miter-limit\":new Qi(Z.layout_line[\"line-miter-limit\"]),\"line-round-limit\":new Qi(Z.layout_line[\"line-round-limit\"]),\"line-sort-key\":new ta(Z.layout_line[\"line-sort-key\"])})}};class lc extends ta{possiblyEvaluate(t,e){return e=new Hi(Math.floor(e.zoom),{now:e.now,fadeDuration:e.fadeDuration,zoomHistory:e.zoomHistory,transition:e.transition}),super.possiblyEvaluate(t,e)}evaluate(t,e,r,n){return e=y({},e,{zoom:Math.floor(e.zoom)}),super.evaluate(t,e,r,n)}}let cc;class uc extends oa{constructor(t){super(t,sc),this.gradientVersion=0,cc||(cc=new lc(sc.paint.properties[\"line-width\"].specification),cc.useIntegerZoom=!0)}_handleSpecialPaintPropertyUpdate(t){if(\"line-gradient\"===t){const 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l=ss(t,this.paint.get(\"line-translate\"),this.paint.get(\"line-translate-anchor\"),o.angle,s),c=s/2*hc(this.paint.get(\"line-width\").evaluate(e,r),this.paint.get(\"line-gap-width\").evaluate(e,r)),u=this.paint.get(\"line-offset\").evaluate(e,r);return u&&(n=function(t,e){const r=[];for(let n=0;n<t.length;n++){const i=t[n],o=[];for(let t=0;t<i.length;t++){const r=i[t-1],n=i[t],s=i[t+1],l=0===t?new a(0,0):n.sub(r)._unit()._perp(),c=t===i.length-1?new a(0,0):s.sub(n)._unit()._perp(),u=l._add(c)._unit(),h=u.x*c.x+u.y*c.y;0!==h&&u._mult(1/h),o.push(u._mult(e)._add(n))}r.push(o)}return r}(n,u*s)),function(t,e,r){for(let n=0;n<e.length;n++){const i=e[n];if(t.length>=3)for(let e=0;e<i.length;e++)if(ns(t,i[e]))return!0;if(Jo(t,i,r))return!0}return!1}(l,n,c)}isTileClipped(){return!0}}function hc(t,e){return e>0?e+2*t:t}const 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mc=ua([{name:\"a_pos\",components:2,type:\"Int16\"},{name:\"a_anchor_pos\",components:2,type:\"Int16\"},{name:\"a_extrude\",components:2,type:\"Int16\"}],4),gc=ua([{name:\"a_pos\",components:2,type:\"Float32\"},{name:\"a_radius\",components:1,type:\"Float32\"},{name:\"a_flags\",components:2,type:\"Int16\"}],4);function yc(t,e,r){return t.sections.forEach((t=>{t.text=function(t,e,r){const 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vc={\"!\":\"︕\",\"#\":\"＃\",$:\"＄\",\"%\":\"％\",\"&\":\"＆\",\"(\":\"︵\",\")\":\"︶\",\"*\":\"＊\",\"+\":\"＋\",\",\":\"︐\",\"-\":\"︲\",\".\":\"・\",\"/\":\"／\",\":\":\"︓\",\";\":\"︔\",\"<\":\"︿\",\"=\":\"＝\",\">\":\"﹀\",\"?\":\"︖\",\"@\":\"＠\",\"[\":\"﹇\",\"\\\\\":\"＼\",\"]\":\"﹈\",\"^\":\"＾\",_:\"︳\",\"`\":\"｀\",\"{\":\"︷\",\"|\":\"―\",\"}\":\"︸\",\"~\":\"～\",\"¢\":\"￠\",\"£\":\"￡\",\"¥\":\"￥\",\"¦\":\"￤\",\"¬\":\"￢\",\"¯\":\"￣\",\"–\":\"︲\",\"—\":\"︱\",\"‘\":\"﹃\",\"’\":\"﹄\",\"“\":\"﹁\",\"”\":\"﹂\",\"…\":\"︙\",\"‧\":\"・\",\"₩\":\"￦\",\"、\":\"︑\",\"。\":\"︒\",\"〈\":\"︿\",\"〉\":\"﹀\",\"《\":\"︽\",\"》\":\"︾\",\"「\":\"﹁\",\"」\":\"﹂\",\"『\":\"﹃\",\"』\":\"﹄\",\"【\":\"︻\",\"】\":\"︼\",\"〔\":\"︹\",\"〕\":\"︺\",\"〖\":\"︗\",\"〗\":\"︘\",\"！\":\"︕\",\"（\":\"︵\",\"）\":\"︶\",\"，\":\"︐\",\"－\":\"︲\",\"．\":\"・\",\"：\":\"︓\",\"；\":\"︔\",\"＜\":\"︿\",\"＞\":\"﹀\",\"？\":\"︖\",\"［\":\"﹇\",\"］\":\"﹈\",\"＿\":\"︳\",\"｛\":\"︷\",\"｜\":\"―\",\"｝\":\"︸\",\"｟\":\"︵\",\"｠\":\"︶\",\"｡\":\"︒\",\"｢\":\"﹁\",\"｣\":\"﹂\"};var xc=24,_c=wc,bc={read:function(t,e,r,n,i){var a,o,s=8*i-n-1,l=(1<<s)-1,c=l>>1,u=-7,h=r?i-1:0,f=r?-1:1,p=t[e+h];for(h+=f,a=p&(1<<-u)-1,p>>=-u,u+=s;u>0;a=256*a+t[e+h],h+=f,u-=8);for(o=a&(1<<-u)-1,a>>=-u,u+=n;u>0;o=256*o+t[e+h],h+=f,u-=8);if(0===a)a=1-c;else{if(a===l)return o?NaN:1/0*(p?-1:1);o+=Math.pow(2,n),a-=c}return(p?-1:1)*o*Math.pow(2,a-n)},write:function(t,e,r,n,i,a){var o,s,l,c=8*a-i-1,u=(1<<c)-1,h=u>>1,f=23===i?Math.pow(2,-24)-Math.pow(2,-77):0,p=n?0:a-1,d=n?1:-1,m=e<0||0===e&&1/e<0?1:0;for(e=Math.abs(e),isNaN(e)||e===1/0?(s=isNaN(e)?1:0,o=u):(o=Math.floor(Math.log(e)/Math.LN2),e*(l=Math.pow(2,-o))<1&&(o--,l*=2),(e+=o+h>=1?f/l:f*Math.pow(2,1-h))*l>=2&&(o++,l/=2),o+h>=u?(s=0,o=u):o+h>=1?(s=(e*l-1)*Math.pow(2,i),o+=h):(s=e*Math.pow(2,h-1)*Math.pow(2,i),o=0));i>=8;t[r+p]=255&s,p+=d,s/=256,i-=8);for(o=o<<i|s,c+=i;c>0;t[r+p]=255&o,p+=d,o/=256,c-=8);t[r+p-d]|=128*m}};function wc(t){this.buf=ArrayBuffer.isView&&ArrayBuffer.isView(t)?t:new Uint8Array(t||0),this.pos=0,this.type=0,this.length=this.buf.length}wc.Varint=0,wc.Fixed64=1,wc.Bytes=2,wc.Fixed32=5;var Tc=4294967296,kc=1/Tc,Ac=\"undefined\"==typeof TextDecoder?null:new TextDecoder(\"utf-8\");function Mc(t){return t.type===wc.Bytes?t.readVarint()+t.pos:t.pos+1}function Sc(t,e,r){return r?4294967296*e+(t>>>0):4294967296*(e>>>0)+(t>>>0)}function Ec(t,e,r){var n=e<=16383?1:e<=2097151?2:e<=268435455?3:Math.floor(Math.log(e)/(7*Math.LN2));r.realloc(n);for(var i=r.pos-1;i>=t;i--)r.buf[i+n]=r.buf[i]}function Cc(t,e){for(var r=0;r<t.length;r++)e.writeVarint(t[r])}function Lc(t,e){for(var r=0;r<t.length;r++)e.writeSVarint(t[r])}function Ic(t,e){for(var r=0;r<t.length;r++)e.writeFloat(t[r])}function Pc(t,e){for(var r=0;r<t.length;r++)e.writeDouble(t[r])}function zc(t,e){for(var r=0;r<t.length;r++)e.writeBoolean(t[r])}function Oc(t,e){for(var r=0;r<t.length;r++)e.writeFixed32(t[r])}function Dc(t,e){for(var r=0;r<t.length;r++)e.writeSFixed32(t[r])}function Rc(t,e){for(var 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t.push(this.readSFixed32());var e=Mc(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed32());return t},readPackedFixed64:function(t){if(this.type!==wc.Bytes)return t.push(this.readFixed64());var e=Mc(this);for(t=t||[];this.pos<e;)t.push(this.readFixed64());return t},readPackedSFixed64:function(t){if(this.type!==wc.Bytes)return t.push(this.readSFixed64());var e=Mc(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed64());return t},skip:function(t){var e=7&t;if(e===wc.Varint)for(;this.buf[this.pos++]>127;);else if(e===wc.Bytes)this.pos=this.readVarint()+this.pos;else if(e===wc.Fixed32)this.pos+=4;else{if(e!==wc.Fixed64)throw new Error(\"Unimplemented type: \"+e);this.pos+=8}},writeTag:function(t,e){this.writeVarint(t<<3|e)},realloc:function(t){for(var e=this.length||16;e<this.pos+t;)e*=2;if(e!==this.length){var r=new Uint8Array(e);r.set(this.buf),this.buf=r,this.length=e}},finish:function(){return this.length=this.pos,this.pos=0,this.buf.subarray(0,this.length)},writeFixed32:function(t){this.realloc(4),Nc(this.buf,t,this.pos),this.pos+=4},writeSFixed32:function(t){this.realloc(4),Nc(this.buf,t,this.pos),this.pos+=4},writeFixed64:function(t){this.realloc(8),Nc(this.buf,-1&t,this.pos),Nc(this.buf,Math.floor(t*kc),this.pos+4),this.pos+=8},writeSFixed64:function(t){this.realloc(8),Nc(this.buf,-1&t,this.pos),Nc(this.buf,Math.floor(t*kc),this.pos+4),this.pos+=8},writeVarint:function(t){(t=+t||0)>268435455||t<0?function(t,e){var r,n;if(t>=0?(r=t%4294967296|0,n=t/4294967296|0):(n=~(-t/4294967296),4294967295^(r=~(-t%4294967296))?r=r+1|0:(r=0,n=n+1|0)),t>=0x10000000000000000||t<-0x10000000000000000)throw new Error(\"Given varint doesn't fit into 10 bytes\");e.realloc(10),function(t,e,r){r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos]=127&t}(r,0,e),function(t,e){var r=(7&t)<<4;e.buf[e.pos++]|=r|((t>>>=3)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t)))))}(n,e)}(t,this):(this.realloc(4),this.buf[this.pos++]=127&t|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=t>>>7&127))))},writeSVarint:function(t){this.writeVarint(t<0?2*-t-1:2*t)},writeBoolean:function(t){this.writeVarint(Boolean(t))},writeString:function(t){t=String(t),this.realloc(4*t.length),this.pos++;var e=this.pos;this.pos=function(t,e,r){for(var n,i,a=0;a<e.length;a++){if((n=e.charCodeAt(a))>55295&&n<57344){if(!i){n>56319||a+1===e.length?(t[r++]=239,t[r++]=191,t[r++]=189):i=n;continue}if(n<56320){t[r++]=239,t[r++]=191,t[r++]=189,i=n;continue}n=i-55296<<10|n-56320|65536,i=null}else i&&(t[r++]=239,t[r++]=191,t[r++]=189,i=null);n<128?t[r++]=n:(n<2048?t[r++]=n>>6|192:(n<65536?t[r++]=n>>12|224:(t[r++]=n>>18|240,t[r++]=n>>12&63|128),t[r++]=n>>6&63|128),t[r++]=63&n|128)}return r}(this.buf,t,this.pos);var r=this.pos-e;r>=128&&Ec(e,r,this),this.pos=e-1,this.writeVarint(r),this.pos+=r},writeFloat:function(t){this.realloc(4),bc.write(this.buf,t,this.pos,!0,23,4),this.pos+=4},writeDouble:function(t){this.realloc(8),bc.write(this.buf,t,this.pos,!0,52,8),this.pos+=8},writeBytes:function(t){var e=t.length;this.writeVarint(e),this.realloc(e);for(var r=0;r<e;r++)this.buf[this.pos++]=t[r]},writeRawMessage:function(t,e){this.pos++;var r=this.pos;t(e,this);var n=this.pos-r;n>=128&&Ec(r,n,this),this.pos=r-1,this.writeVarint(n),this.pos+=n},writeMessage:function(t,e,r){this.writeTag(t,wc.Bytes),this.writeRawMessage(e,r)},writePackedVarint:function(t,e){e.length&&this.writeMessage(t,Cc,e)},writePackedSVarint:function(t,e){e.length&&this.writeMessage(t,Lc,e)},writePackedBoolean:function(t,e){e.length&&this.writeMessage(t,zc,e)},writePackedFloat:function(t,e){e.length&&this.writeMessage(t,Ic,e)},writePackedDouble:function(t,e){e.length&&this.writeMessage(t,Pc,e)},writePackedFixed32:function(t,e){e.length&&this.writeMessage(t,Oc,e)},writePackedSFixed32:function(t,e){e.length&&this.writeMessage(t,Dc,e)},writePackedFixed64:function(t,e){e.length&&this.writeMessage(t,Rc,e)},writePackedSFixed64:function(t,e){e.length&&this.writeMessage(t,Fc,e)},writeBytesField:function(t,e){this.writeTag(t,wc.Bytes),this.writeBytes(e)},writeFixed32Field:function(t,e){this.writeTag(t,wc.Fixed32),this.writeFixed32(e)},writeSFixed32Field:function(t,e){this.writeTag(t,wc.Fixed32),this.writeSFixed32(e)},writeFixed64Field:function(t,e){this.writeTag(t,wc.Fixed64),this.writeFixed64(e)},writeSFixed64Field:function(t,e){this.writeTag(t,wc.Fixed64),this.writeSFixed64(e)},writeVarintField:function(t,e){this.writeTag(t,wc.Varint),this.writeVarint(e)},writeSVarintField:function(t,e){this.writeTag(t,wc.Varint),this.writeSVarint(e)},writeStringField:function(t,e){this.writeTag(t,wc.Bytes),this.writeString(e)},writeFloatField:function(t,e){this.writeTag(t,wc.Fixed32),this.writeFloat(e)},writeDoubleField:function(t,e){this.writeTag(t,wc.Fixed64),this.writeDouble(e)},writeBooleanField:function(t,e){this.writeVarintField(t,Boolean(e))}};var Uc=r(_c);const Vc=3;function qc(t,e,r){1===t&&r.readMessage(Hc,e)}function Hc(t,e,r){if(3===t){const{id:t,bitmap:n,width:i,height:a,left:o,top:s,advance:l}=r.readMessage(Gc,{});e.push({id:t,bitmap:new Cs({width:i+2*Vc,height:a+2*Vc},n),metrics:{width:i,height:a,left:o,top:s,advance:l}})}}function Gc(t,e,r){1===t?e.id=r.readVarint():2===t?e.bitmap=r.readBytes():3===t?e.width=r.readVarint():4===t?e.height=r.readVarint():5===t?e.left=r.readSVarint():6===t?e.top=r.readSVarint():7===t&&(e.advance=r.readVarint())}const Zc=Vc;function Wc(t){let e=0,r=0;for(const n of t)e+=n.w*n.h,r=Math.max(r,n.w);t.sort(((t,e)=>e.h-t.h));const n=[{x:0,y:0,w:Math.max(Math.ceil(Math.sqrt(e/.95)),r),h:1/0}];let i=0,a=0;for(const e of t)for(let t=n.length-1;t>=0;t--){const r=n[t];if(!(e.w>r.w||e.h>r.h)){if(e.x=r.x,e.y=r.y,a=Math.max(a,e.y+e.h),i=Math.max(i,e.x+e.w),e.w===r.w&&e.h===r.h){const e=n.pop();t<n.length&&(n[t]=e)}else 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10===t&&(n-=1e4),r&&(n+=150),40!==t&&65288!==t||(n+=50),41!==e&&65289!==e||(n+=50),n}function lu(t,e,r,n,i,a){let o=null,s=ou(e,r,i,a);for(const t of n){const n=ou(e-t.x,r,i,a)+t.badness;n<=s&&(o=t,s=n)}return{index:t,x:e,priorBreak:o,badness:s}}function cu(t){return t?cu(t.priorBreak).concat(t.index):[]}function uu(t,e,r,n,i,a){if(!t)return[];const o=[],s=function(t,e,r,n,i,a){let o=0;for(let r=0;r<t.length();r++){const s=t.getSection(r);o+=au(t.getCharCode(r),s,n,i,e,a)}return o/Math.max(1,Math.ceil(o/r))}(t,e,r,n,i,a),l=t.text.indexOf(\"​\")>=0;let c=0;for(let r=0;r<t.length();r++){const h=t.getSection(r),f=t.getCharCode(r);if(ru[f]||(c+=au(f,h,n,i,e,a)),r<t.length()-1){const e=!((u=f)<11904||!(zi[\"Bopomofo Extended\"](u)||zi.Bopomofo(u)||zi[\"CJK Compatibility Forms\"](u)||zi[\"CJK Compatibility Ideographs\"](u)||zi[\"CJK Compatibility\"](u)||zi[\"CJK Radicals Supplement\"](u)||zi[\"CJK Strokes\"](u)||zi[\"CJK Symbols and Punctuation\"](u)||zi[\"CJK Unified Ideographs Extension A\"](u)||zi[\"CJK Unified Ideographs\"](u)||zi[\"Enclosed CJK Letters and Months\"](u)||zi[\"Halfwidth and Fullwidth Forms\"](u)||zi.Hiragana(u)||zi[\"Ideographic Description Characters\"](u)||zi[\"Kangxi Radicals\"](u)||zi[\"Katakana Phonetic Extensions\"](u)||zi.Katakana(u)||zi[\"Vertical Forms\"](u)||zi[\"Yi Radicals\"](u)||zi[\"Yi Syllables\"](u)));(nu[f]||e||h.imageName||r!==t.length()-2&&iu[t.getCharCode(r+1)])&&o.push(lu(r+1,c,s,o,su(f,t.getCharCode(r+1),e&&l),!1))}}var u;return cu(lu(t.length(),c,s,o,0,!0))}function hu(t){let e=.5,r=.5;switch(t){case\"right\":case\"top-right\":case\"bottom-right\":e=1;break;case\"left\":case\"top-left\":case\"bottom-left\":e=0}switch(t){case\"bottom\":case\"bottom-right\":case\"bottom-left\":r=1;break;case\"top\":case\"top-right\":case\"top-left\":r=0}return{horizontalAlign:e,verticalAlign:r}}function fu(t,e,r,n,i){if(!n&&!i)return;const a=t[r],o=a.metrics.advance*a.scale,s=(t[r].x+o)*n;for(let n=e;n<=r;n++)t[n].x-=s,t[n].y+=i}function pu(t,e,r){const{horizontalAlign:n,verticalAlign:i}=hu(r),a=e[0],o=e[1],s=a-t.displaySize[0]*n,l=s+t.displaySize[0],c=o-t.displaySize[1]*i;return{image:t,top:c,bottom:c+t.displaySize[1],left:s,right:l}}function du(t){var e,r;let n=t.left,i=t.top,a=t.right-n,o=t.bottom-i;const s=t.image.content[2]-t.image.content[0],l=t.image.content[3]-t.image.content[1],c=null!==(e=t.image.textFitWidth)&&void 0!==e?e:\"stretchOrShrink\",u=null!==(r=t.image.textFitHeight)&&void 0!==r?r:\"stretchOrShrink\",h=s/l;if(\"proportional\"===u){if(\"stretchOnly\"===c&&a/o<h||\"proportional\"===c){const t=Math.ceil(o*h);n*=t/a,a=t}}else if(\"proportional\"===c&&\"stretchOnly\"===u&&0!==h&&a/o>h){const t=Math.ceil(a/h);i*=t/o,o=t}return{x1:n,y1:i,x2:n+a,y2:i+o}}function mu(t,e,r,n,i,a){const o=t.image;let s;if(o.content){const t=o.content,e=o.pixelRatio||1;s=[t[0]/e,t[1]/e,o.displaySize[0]-t[2]/e,o.displaySize[1]-t[3]/e]}const l=e.left*a,c=e.right*a;let u,h,f,p;\"width\"===r||\"both\"===r?(p=i[0]+l-n[3],h=i[0]+c+n[1]):(p=i[0]+(l+c-o.displaySize[0])/2,h=p+o.displaySize[0]);const d=e.top*a,m=e.bottom*a;return\"height\"===r||\"both\"===r?(u=i[1]+d-n[0],f=i[1]+m+n[2]):(u=i[1]+(d+m-o.displaySize[1])/2,f=u+o.displaySize[1]),{image:o,top:u,right:h,bottom:f,left:p,collisionPadding:s}}const gu=255,yu=128,vu=gu*yu;function xu(t,e){const{expression:r}=e;if(\"constant\"===r.kind)return{kind:\"constant\",layoutSize:r.evaluate(new Hi(t+1))};if(\"source\"===r.kind)return{kind:\"source\"};{const{zoomStops:e,interpolationType:n}=r;let i=0;for(;i<e.length&&e[i]<=t;)i++;i=Math.max(0,i-1);let a=i;for(;a<e.length&&e[a]<t+1;)a++;a=Math.min(e.length-1,a);const o=e[i],s=e[a];return\"composite\"===r.kind?{kind:\"composite\",minZoom:o,maxZoom:s,interpolationType:n}:{kind:\"camera\",minZoom:o,maxZoom:s,minSize:r.evaluate(new Hi(o)),maxSize:r.evaluate(new Hi(s)),interpolationType:n}}}function _u(t,e,r){let n=\"never\";const i=t.get(e);return i?n=i:t.get(r)&&(n=\"always\"),n}const bu=Tl.VectorTileFeature.types,wu=[{name:\"a_fade_opacity\",components:1,type:\"Uint8\",offset:0}];function Tu(t,e,r,n,i,a,o,s,l,c,u,h,f){const p=s?Math.min(vu,Math.round(s[0])):0,d=s?Math.min(vu,Math.round(s[1])):0;t.emplaceBack(e,r,Math.round(32*n),Math.round(32*i),a,o,(p<<1)+(l?1:0),d,16*c,16*u,256*h,256*f)}function ku(t,e,r){t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r)}function Au(t){for(const e of t.sections)if(Vi(e.text))return!0;return!1}class Mu{constructor(t){this.layoutVertexArray=new to,this.indexArray=new ao,this.programConfigurations=t,this.segments=new ho,this.dynamicLayoutVertexArray=new eo,this.opacityVertexArray=new ro,this.hasVisibleVertices=!1,this.placedSymbolArray=new Ba}isEmpty(){return 0===this.layoutVertexArray.length&&0===this.indexArray.length&&0===this.dynamicLayoutVertexArray.length&&0===this.opacityVertexArray.length}upload(t,e,r,n){this.isEmpty()||(r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,fc.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,pc.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,wu,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t))}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())}}Mi(\"SymbolBuffers\",Mu);class Su{constructor(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new ho,this.collisionVertexArray=new io}upload(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,dc.members,!0)}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())}}Mi(\"CollisionBuffers\",Su);class Eu{constructor(e){this.collisionBoxArray=e.collisionBoxArray,this.zoom=e.zoom,this.overscaling=e.overscaling,this.layers=e.layers,this.layerIds=this.layers.map((t=>t.id)),this.index=e.index,this.pixelRatio=e.pixelRatio,this.sourceLayerIndex=e.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=ps([]),this.placementViewportMatrix=ps([]);const r=this.layers[0]._unevaluatedLayout._values;this.textSizeData=xu(this.zoom,r[\"text-size\"]),this.iconSizeData=xu(this.zoom,r[\"icon-size\"]);const n=this.layers[0].layout,i=n.get(\"symbol-sort-key\"),a=n.get(\"symbol-z-order\");this.canOverlap=\"never\"!==_u(n,\"text-overlap\",\"text-allow-overlap\")||\"never\"!==_u(n,\"icon-overlap\",\"icon-allow-overlap\")||n.get(\"text-ignore-placement\")||n.get(\"icon-ignore-placement\"),this.sortFeaturesByKey=\"viewport-y\"!==a&&!i.isConstant();const o=\"viewport-y\"===a||\"auto\"===a&&!this.sortFeaturesByKey;this.sortFeaturesByY=o&&this.canOverlap,\"point\"===n.get(\"symbol-placement\")&&(this.writingModes=n.get(\"text-writing-mode\").map((e=>t.ai[e]))),this.stateDependentLayerIds=this.layers.filter((t=>t.isStateDependent())).map((t=>t.id)),this.sourceID=e.sourceID}createArrays(){this.text=new Mu(new Bo(this.layers,this.zoom,(t=>/^text/.test(t)))),this.icon=new Mu(new Bo(this.layers,this.zoom,(t=>/^icon/.test(t)))),this.glyphOffsetArray=new Ua,this.lineVertexArray=new Va,this.symbolInstances=new ja,this.textAnchorOffsets=new Ha}calculateGlyphDependencies(t,e,r,n,i){for(let a=0;a<t.length;a++)if(e[t.charCodeAt(a)]=!0,(r||n)&&i){const r=vc[t.charAt(a)];r&&(e[r.charCodeAt(0)]=!0)}}populate(e,r,n){const i=this.layers[0],a=i.layout,o=a.get(\"text-font\"),s=a.get(\"text-field\"),l=a.get(\"icon-image\"),c=(\"constant\"!==s.value.kind||s.value.value instanceof Kt&&!s.value.value.isEmpty()||s.value.value.toString().length>0)&&(\"constant\"!==o.value.kind||o.value.value.length>0),u=\"constant\"!==l.value.kind||!!l.value.value||Object.keys(l.parameters).length>0,h=a.get(\"symbol-sort-key\");if(this.features=[],!c&&!u)return;const f=r.iconDependencies,p=r.glyphDependencies,d=r.availableImages,m=new Hi(this.zoom);for(const{feature:r,id:s,index:l,sourceLayerIndex:g}of e){const e=i._featureFilter.needGeometry,y=Go(r,e);if(!i._featureFilter.filter(m,y,n))continue;let v,x;if(e||(y.geometry=Ho(r)),c){const t=i.getValueAndResolveTokens(\"text-field\",y,n,d),e=Kt.factory(t),r=this.hasRTLText=this.hasRTLText||Au(e);(!r||\"unavailable\"===qi.getRTLTextPluginStatus()||r&&qi.isParsed())&&(v=yc(e,i,y))}if(u){const t=i.getValueAndResolveTokens(\"icon-image\",y,n,d);x=t instanceof re?t:re.fromString(t)}if(!v&&!x)continue;const _=this.sortFeaturesByKey?h.evaluate(y,{},n):void 0,b={id:s,text:v,icon:x,index:l,sourceLayerIndex:g,geometry:y.geometry,properties:r.properties,type:bu[r.type],sortKey:_};if(this.features.push(b),x&&(f[x.name]=!0),v){const e=o.evaluate(y,{},n).join(\",\"),r=\"viewport\"!==a.get(\"text-rotation-alignment\")&&\"point\"!==a.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(t.ai.vertical)>=0;for(const t of v.sections)if(t.image)f[t.image.name]=!0;else{const n=Oi(v.toString()),i=t.fontStack||e,a=p[i]=p[i]||{};this.calculateGlyphDependencies(t.text,a,r,this.allowVerticalPlacement,n)}}}\"line\"===a.get(\"symbol-placement\")&&(this.features=function(t){const e={},r={},n=[];let i=0;function a(e){n.push(t[e]),i++}function o(t,e,i){const a=r[t];return delete r[t],r[e]=a,n[a].geometry[0].pop(),n[a].geometry[0]=n[a].geometry[0].concat(i[0]),a}function s(t,r,i){const a=e[r];return delete e[r],e[t]=a,n[a].geometry[0].shift(),n[a].geometry[0]=i[0].concat(n[a].geometry[0]),a}function l(t,e,r){const n=r?e[0][e[0].length-1]:e[0][0];return`${t}:${n.x}:${n.y}`}for(let c=0;c<t.length;c++){const u=t[c],h=u.geometry,f=u.text?u.text.toString():null;if(!f){a(c);continue}const p=l(f,h),d=l(f,h,!0);if(p in r&&d in e&&r[p]!==e[d]){const t=s(p,d,h),i=o(p,d,n[t].geometry);delete e[p],delete r[d],r[l(f,n[i].geometry,!0)]=i,n[t].geometry=null}else p in r?o(p,d,h):d in e?s(p,d,h):(a(c),e[p]=i-1,r[d]=i-1)}return n.filter((t=>t.geometry))}(this.features)),this.sortFeaturesByKey&&this.features.sort(((t,e)=>t.sortKey-e.sortKey))}update(t,e,r){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(t,e,this.layers,r),this.icon.programConfigurations.updatePaintArrays(t,e,this.layers,r))}isEmpty(){return 0===this.symbolInstances.length&&!this.hasRTLText}uploadPending(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload}upload(t){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(t),this.iconCollisionBox.upload(t)),this.text.upload(t,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(t,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0}destroyDebugData(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()}destroy(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()}addToLineVertexArray(t,e){const r=this.lineVertexArray.length;if(void 0!==t.segment){let r=t.dist(e[t.segment+1]),n=t.dist(e[t.segment]);const i={};for(let n=t.segment+1;n<e.length;n++)i[n]={x:e[n].x,y:e[n].y,tileUnitDistanceFromAnchor:r},n<e.length-1&&(r+=e[n+1].dist(e[n]));for(let r=t.segment||0;r>=0;r--)i[r]={x:e[r].x,y:e[r].y,tileUnitDistanceFromAnchor:n},r>0&&(n+=e[r-1].dist(e[r]));for(let t=0;t<e.length;t++){const e=i[t];this.lineVertexArray.emplaceBack(e.x,e.y,e.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}}addSymbols(e,r,n,i,a,o,s,l,c,u,h,f){const p=e.indexArray,d=e.layoutVertexArray,m=e.segments.prepareSegment(4*r.length,d,p,this.canOverlap?o.sortKey:void 0),g=this.glyphOffsetArray.length,y=m.vertexLength,v=this.allowVerticalPlacement&&s===t.ai.vertical?Math.PI/2:0,x=o.text&&o.text.sections;for(let t=0;t<r.length;t++){const{tl:i,tr:a,bl:s,br:c,tex:u,pixelOffsetTL:h,pixelOffsetBR:g,minFontScaleX:y,minFontScaleY:_,glyphOffset:b,isSDF:w,sectionIndex:T}=r[t],k=m.vertexLength,A=b[1];Tu(d,l.x,l.y,i.x,A+i.y,u.x,u.y,n,w,h.x,h.y,y,_),Tu(d,l.x,l.y,a.x,A+a.y,u.x+u.w,u.y,n,w,g.x,h.y,y,_),Tu(d,l.x,l.y,s.x,A+s.y,u.x,u.y+u.h,n,w,h.x,g.y,y,_),Tu(d,l.x,l.y,c.x,A+c.y,u.x+u.w,u.y+u.h,n,w,g.x,g.y,y,_),ku(e.dynamicLayoutVertexArray,l,v),p.emplaceBack(k,k+1,k+2),p.emplaceBack(k+1,k+2,k+3),m.vertexLength+=4,m.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(b[0]),t!==r.length-1&&T===r[t+1].sectionIndex||e.programConfigurations.populatePaintArrays(d.length,o,o.index,{},f,x&&x[T])}e.placedSymbolArray.emplaceBack(l.x,l.y,g,this.glyphOffsetArray.length-g,y,c,u,l.segment,n?n[0]:0,n?n[1]:0,i[0],i[1],s,0,!1,0,h)}_addCollisionDebugVertex(t,e,r,n,i,a){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,i,Math.round(a.x),Math.round(a.y))}addCollisionDebugVertices(t,e,r,n,i,o,s){const l=i.segments.prepareSegment(4,i.layoutVertexArray,i.indexArray),c=l.vertexLength,u=i.layoutVertexArray,h=i.collisionVertexArray,f=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(u,h,o,f,p,new a(t,e)),this._addCollisionDebugVertex(u,h,o,f,p,new a(r,e)),this._addCollisionDebugVertex(u,h,o,f,p,new a(r,n)),this._addCollisionDebugVertex(u,h,o,f,p,new a(t,n)),l.vertexLength+=4;const d=i.indexArray;d.emplaceBack(c,c+1),d.emplaceBack(c+1,c+2),d.emplaceBack(c+2,c+3),d.emplaceBack(c+3,c),l.primitiveLength+=4}addDebugCollisionBoxes(t,e,r,n){for(let i=t;i<e;i++){const t=this.collisionBoxArray.get(i),e=t.x1,a=t.y1,o=t.x2,s=t.y2;this.addCollisionDebugVertices(e,a,o,s,n?this.textCollisionBox:this.iconCollisionBox,t.anchorPoint,r)}}generateCollisionDebugBuffers(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new Su(no,mc.members,oo),this.iconCollisionBox=new Su(no,mc.members,oo);for(let t=0;t<this.symbolInstances.length;t++){const e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e,!1),this.addDebugCollisionBoxes(e.verticalIconBoxStartIndex,e.verticalIconBoxEndIndex,e,!1)}}_deserializeCollisionBoxesForSymbol(t,e,r,n,i,a,o,s,l){const c={};for(let n=e;n<r;n++){const e=t.get(n);c.textBox={x1:e.x1,y1:e.y1,x2:e.x2,y2:e.y2,anchorPointX:e.anchorPointX,anchorPointY:e.anchorPointY},c.textFeatureIndex=e.featureIndex;break}for(let e=n;e<i;e++){const r=t.get(e);c.verticalTextBox={x1:r.x1,y1:r.y1,x2:r.x2,y2:r.y2,anchorPointX:r.anchorPointX,anchorPointY:r.anchorPointY},c.verticalTextFeatureIndex=r.featureIndex;break}for(let e=a;e<o;e++){const r=t.get(e);c.iconBox={x1:r.x1,y1:r.y1,x2:r.x2,y2:r.y2,anchorPointX:r.anchorPointX,anchorPointY:r.anchorPointY},c.iconFeatureIndex=r.featureIndex;break}for(let e=s;e<l;e++){const r=t.get(e);c.verticalIconBox={x1:r.x1,y1:r.y1,x2:r.x2,y2:r.y2,anchorPointX:r.anchorPointX,anchorPointY:r.anchorPointY},c.verticalIconFeatureIndex=r.featureIndex;break}return c}deserializeCollisionBoxes(t){this.collisionArrays=[];for(let e=0;e<this.symbolInstances.length;e++){const r=this.symbolInstances.get(e);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(t,r.textBoxStartIndex,r.textBoxEndIndex,r.verticalTextBoxStartIndex,r.verticalTextBoxEndIndex,r.iconBoxStartIndex,r.iconBoxEndIndex,r.verticalIconBoxStartIndex,r.verticalIconBoxEndIndex))}}hasTextData(){return this.text.segments.get().length>0}hasIconData(){return this.icon.segments.get().length>0}hasDebugData(){return this.textCollisionBox&&this.iconCollisionBox}hasTextCollisionBoxData(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0}hasIconCollisionBoxData(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0}addIndicesForPlacedSymbol(t,e){const r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs;for(let e=r.vertexStartIndex;e<n;e+=4)t.indexArray.emplaceBack(e,e+1,e+2),t.indexArray.emplaceBack(e+1,e+2,e+3)}getSortedSymbolIndexes(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;const e=Math.sin(t),r=Math.cos(t),n=[],i=[],a=[];for(let t=0;t<this.symbolInstances.length;++t){a.push(t);const o=this.symbolInstances.get(t);n.push(0|Math.round(e*o.anchorX+r*o.anchorY)),i.push(o.featureIndex)}return a.sort(((t,e)=>n[t]-n[e]||i[e]-i[t])),a}addToSortKeyRanges(t,e){const r=this.sortKeyRanges[this.sortKeyRanges.length-1];r&&r.sortKey===e?r.symbolInstanceEnd=t+1:this.sortKeyRanges.push({sortKey:e,symbolInstanceStart:t,symbolInstanceEnd:t+1})}sortFeatures(t){if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(const t of this.symbolInstanceIndexes){const e=this.symbolInstances.get(t);this.featureSortOrder.push(e.featureIndex),[e.rightJustifiedTextSymbolIndex,e.centerJustifiedTextSymbolIndex,e.leftJustifiedTextSymbolIndex].forEach(((t,e,r)=>{t>=0&&r.indexOf(t)===e&&this.addIndicesForPlacedSymbol(this.text,t)})),e.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,e.verticalPlacedTextSymbolIndex),e.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,e.placedIconSymbolIndex),e.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,e.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}}}let Cu;Mi(\"SymbolBucket\",Eu,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),Eu.MAX_GLYPHS=65535,Eu.addDynamicAttributes=ku;let Lu;var Iu={get paint(){return Lu=Lu||new ia({\"icon-opacity\":new ta(Z.paint_symbol[\"icon-opacity\"]),\"icon-color\":new ta(Z.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new ta(Z.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new ta(Z.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new ta(Z.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new Qi(Z.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new Qi(Z.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new ta(Z.paint_symbol[\"text-opacity\"]),\"text-color\":new ta(Z.paint_symbol[\"text-color\"],{runtimeType:ft,getOverride:t=>t.textColor,hasOverride:t=>!!t.textColor}),\"text-halo-color\":new ta(Z.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new ta(Z.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new ta(Z.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new Qi(Z.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new Qi(Z.paint_symbol[\"text-translate-anchor\"])})},get layout(){return Cu=Cu||new ia({\"symbol-placement\":new Qi(Z.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new Qi(Z.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new Qi(Z.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new ta(Z.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new Qi(Z.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new Qi(Z.layout_symbol[\"icon-allow-overlap\"]),\"icon-overlap\":new Qi(Z.layout_symbol[\"icon-overlap\"]),\"icon-ignore-placement\":new Qi(Z.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new Qi(Z.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new Qi(Z.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new ta(Z.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new Qi(Z.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new Qi(Z.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new ta(Z.layout_symbol[\"icon-image\"]),\"icon-rotate\":new ta(Z.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new ta(Z.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new Qi(Z.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new ta(Z.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new ta(Z.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new Qi(Z.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new Qi(Z.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new Qi(Z.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new ta(Z.layout_symbol[\"text-field\"]),\"text-font\":new ta(Z.layout_symbol[\"text-font\"]),\"text-size\":new ta(Z.layout_symbol[\"text-size\"]),\"text-max-width\":new ta(Z.layout_symbol[\"text-max-width\"]),\"text-line-height\":new Qi(Z.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new ta(Z.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new ta(Z.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new ta(Z.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new Qi(Z.layout_symbol[\"text-variable-anchor\"]),\"text-variable-anchor-offset\":new ta(Z.layout_symbol[\"text-variable-anchor-offset\"]),\"text-anchor\":new ta(Z.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new Qi(Z.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new Qi(Z.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new ta(Z.layout_symbol[\"text-rotate\"]),\"text-padding\":new Qi(Z.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new Qi(Z.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new ta(Z.layout_symbol[\"text-transform\"]),\"text-offset\":new ta(Z.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new Qi(Z.layout_symbol[\"text-allow-overlap\"]),\"text-overlap\":new Qi(Z.layout_symbol[\"text-overlap\"]),\"text-ignore-placement\":new Qi(Z.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new Qi(Z.layout_symbol[\"text-optional\"])})}};class Pu{constructor(t){if(void 0===t.property.overrides)throw new Error(\"overrides must be provided to instantiate FormatSectionOverride class\");this.type=t.property.overrides?t.property.overrides.runtimeType:lt,this.defaultValue=t}evaluate(t){if(t.formattedSection){const e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default}eachChild(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)}outputDefined(){return!1}serialize(){return null}}Mi(\"FormatSectionOverride\",Pu,{omit:[\"defaultValue\"]});class zu extends oa{constructor(t){super(t,Iu)}recalculate(t,e){if(super.recalculate(t,e),\"auto\"===this.layout.get(\"icon-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"icon-rotation-alignment\"]=\"map\":this.layout._values[\"icon-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"text-rotation-alignment\"]=\"map\":this.layout._values[\"text-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-pitch-alignment\")&&(this.layout._values[\"text-pitch-alignment\"]=\"map\"===this.layout.get(\"text-rotation-alignment\")?\"map\":\"viewport\"),\"auto\"===this.layout.get(\"icon-pitch-alignment\")&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),\"point\"===this.layout.get(\"symbol-placement\")){const t=this.layout.get(\"text-writing-mode\");if(t){const e=[];for(const r of t)e.indexOf(r)<0&&e.push(r);this.layout._values[\"text-writing-mode\"]=e}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()}getValueAndResolveTokens(t,e,r,n){const i=this.layout.get(t).evaluate(e,{},r,n),a=this._unevaluatedLayout._values[t];return a.isDataDriven()||kn(a.value)||!i?i:function(t,e){return e.replace(/{([^{}]+)}/g,((e,r)=>t&&r in t?String(t[r]):\"\"))}(e.properties,i)}createBucket(t){return new Eu(t)}queryRadius(){return 0}queryIntersectsFeature(){throw new Error(\"Should take a different path in FeatureIndex\")}_setPaintOverrides(){for(const t of Iu.paint.overridableProperties){if(!zu.hasPaintOverride(this.layout,t))continue;const e=this.paint.get(t),r=new Pu(e),n=new Tn(r,e.property.specification);let i=null;i=\"constant\"===e.value.kind||\"source\"===e.value.kind?new Mn(\"source\",n):new Sn(\"composite\",n,e.value.zoomStops),this.paint._values[t]=new Ji(e.property,i,e.parameters)}}_handleOverridablePaintPropertyUpdate(t,e,r){return!(!this.layout||e.isDataDriven()||r.isDataDriven())&&zu.hasPaintOverride(this.layout,t)}static hasPaintOverride(t,e){const r=t.get(\"text-field\"),n=Iu.paint.properties[e];let i=!1;const a=t=>{for(const e of t)if(n.overrides&&n.overrides.hasOverride(e))return void(i=!0)};if(\"constant\"===r.value.kind&&r.value.value instanceof Kt)a(r.value.value.sections);else if(\"source\"===r.value.kind){const t=e=>{if(!i)if(e instanceof se&&ae(e.value)===gt){const t=e.value;a(t.sections)}else e instanceof We?a(e.sections):e.eachChild(t)},e=r.value;e._styleExpression&&t(e._styleExpression.expression)}return i}}let Ou;var Du={get paint(){return Ou=Ou||new ia({\"background-color\":new Qi(Z.paint_background[\"background-color\"]),\"background-pattern\":new ra(Z.paint_background[\"background-pattern\"]),\"background-opacity\":new Qi(Z.paint_background[\"background-opacity\"])})}};class Ru extends oa{constructor(t){super(t,Du)}}let Fu;var Bu={get paint(){return Fu=Fu||new ia({\"raster-opacity\":new Qi(Z.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new Qi(Z.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new Qi(Z.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new Qi(Z.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new Qi(Z.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new Qi(Z.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new Qi(Z.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new Qi(Z.paint_raster[\"raster-fade-duration\"])})}};class Nu extends oa{constructor(t){super(t,Bu)}}class ju extends oa{constructor(t){super(t,{}),this.onAdd=t=>{this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},this.onRemove=t=>{this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},this.implementation=t}is3D(){return\"3d\"===this.implementation.renderingMode}hasOffscreenPass(){return void 0!==this.implementation.prerender}recalculate(){}updateTransitions(){}hasTransition(){return!1}serialize(){throw new Error(\"Custom layers cannot be serialized\")}}class Uu{constructor(t){this._methodToThrottle=t,this._triggered=!1,\"undefined\"!=typeof MessageChannel&&(this._channel=new MessageChannel,this._channel.port2.onmessage=()=>{this._triggered=!1,this._methodToThrottle()})}trigger(){this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout((()=>{this._triggered=!1,this._methodToThrottle()}),0))}remove(){delete this._channel,this._methodToThrottle=()=>{}}}const Vu=6371008.8;class qu{constructor(t,e){if(isNaN(t)||isNaN(e))throw new Error(`Invalid LngLat object: (${t}, ${e})`);if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")}wrap(){return new qu(g(this.lng,-180,180),this.lat)}toArray(){return[this.lng,this.lat]}toString(){return`LngLat(${this.lng}, ${this.lat})`}distanceTo(t){const e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return Vu*Math.acos(Math.min(i,1))}static convert(t){if(t instanceof qu)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new qu(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new qu(Number(\"lng\"in t?t.lng:t.lon),Number(t.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]\")}}const Hu=2*Math.PI*Vu;function Gu(t){return Hu*Math.cos(t*Math.PI/180)}function Zu(t){return(180+t)/360}function Wu(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Yu(t,e){return t/Gu(e)}function Xu(t){const e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}class $u{constructor(t,e,r=0){this.x=+t,this.y=+e,this.z=+r}static fromLngLat(t,e=0){const r=qu.convert(t);return new $u(Zu(r.lng),Wu(r.lat),Yu(e,r.lat))}toLngLat(){return new qu(360*this.x-180,Xu(this.y))}toAltitude(){return t=this.z,e=this.y,t*Gu(Xu(e));var t,e}meterInMercatorCoordinateUnits(){return 1/Hu*(t=Xu(this.y),1/Math.cos(t*Math.PI/180));var t}}function Ju(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return[t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}class Ku{constructor(t,e,r){if(t<0||t>25||r<0||r>=Math.pow(2,t)||e<0||e>=Math.pow(2,t))throw new Error(`x=${e}, y=${r}, z=${t} outside of bounds. 0<=x<${Math.pow(2,t)}, 0<=y<${Math.pow(2,t)} 0<=z<=25 `);this.z=t,this.x=e,this.y=r,this.key=eh(0,t,t,e,r)}equals(t){return this.z===t.z&&this.x===t.x&&this.y===t.y}url(t,e,r){const n=(a=this.x,o=this.y,s=this.z,l=Ju(256*a,256*(o=Math.pow(2,s)-o-1),s),c=Ju(256*(a+1),256*(o+1),s),l[0]+\",\"+l[1]+\",\"+c[0]+\",\"+c[1]),i=function(t,e,r){let n,i=\"\";for(let a=t;a>0;a--)n=1<<a-1,i+=(e&n?1:0)+(r&n?2:0);return i}(this.z,this.x,this.y);var a,o,s,l,c;return t[(this.x+this.y)%t.length].replace(/{prefix}/g,(this.x%16).toString(16)+(this.y%16).toString(16)).replace(/{z}/g,String(this.z)).replace(/{x}/g,String(this.x)).replace(/{y}/g,String(\"tms\"===r?Math.pow(2,this.z)-this.y-1:this.y)).replace(/{ratio}/g,e>1?\"@2x\":\"\").replace(/{quadkey}/g,i).replace(/{bbox-epsg-3857}/g,n)}isChildOf(t){const e=this.z-t.z;return e>0&&t.x===this.x>>e&&t.y===this.y>>e}getTilePoint(t){const e=Math.pow(2,this.z);return new a((t.x*e-this.x)*Uo,(t.y*e-this.y)*Uo)}toString(){return`${this.z}/${this.x}/${this.y}`}}class Qu{constructor(t,e){this.wrap=t,this.canonical=e,this.key=eh(t,e.z,e.z,e.x,e.y)}}class th{constructor(t,e,r,n,i){if(t<r)throw new Error(`overscaledZ should be >= z; overscaledZ = ${t}; z = ${r}`);this.overscaledZ=t,this.wrap=e,this.canonical=new Ku(r,+n,+i),this.key=eh(e,t,r,n,i)}clone(){return new th(this.overscaledZ,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)}equals(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)}scaledTo(t){if(t>this.overscaledZ)throw new Error(`targetZ > this.overscaledZ; targetZ = ${t}; overscaledZ = ${this.overscaledZ}`);const e=this.canonical.z-t;return t>this.canonical.z?new th(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new th(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)}calculateScaledKey(t,e){if(t>this.overscaledZ)throw new Error(`targetZ > this.overscaledZ; targetZ = ${t}; overscaledZ = ${this.overscaledZ}`);const r=this.canonical.z-t;return t>this.canonical.z?eh(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):eh(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)}isChildOf(t){if(t.wrap!==this.wrap)return!1;const e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ<this.overscaledZ&&t.canonical.x===this.canonical.x>>e&&t.canonical.y===this.canonical.y>>e}children(t){if(this.overscaledZ>=t)return[new th(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];const e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new th(e,this.wrap,e,r,n),new th(e,this.wrap,e,r+1,n),new th(e,this.wrap,e,r,n+1),new th(e,this.wrap,e,r+1,n+1)]}isLessThan(t){return this.wrap<t.wrap||!(this.wrap>t.wrap)&&(this.overscaledZ<t.overscaledZ||!(this.overscaledZ>t.overscaledZ)&&(this.canonical.x<t.canonical.x||!(this.canonical.x>t.canonical.x)&&this.canonical.y<t.canonical.y))}wrapped(){return new th(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)}unwrapTo(t){return new th(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)}overscaleFactor(){return Math.pow(2,this.overscaledZ-this.canonical.z)}toUnwrapped(){return new Qu(this.wrap,this.canonical)}toString(){return`${this.overscaledZ}/${this.canonical.x}/${this.canonical.y}`}getTilePoint(t){return this.canonical.getTilePoint(new $u(t.x-this.wrap,t.y))}}function eh(t,e,r,n,i){(t*=2)<0&&(t=-1*t-1);const a=1<<r;return(a*a*t+a*i+n).toString(36)+r.toString(36)+e.toString(36)}Mi(\"CanonicalTileID\",Ku),Mi(\"OverscaledTileID\",th,{omit:[\"posMatrix\"]});class rh{constructor(t,e,r,n=1,i=1,a=1,o=0){if(this.uid=t,e.height!==e.width)throw new RangeError(\"DEM tiles must be square\");if(r&&![\"mapbox\",\"terrarium\",\"custom\"].includes(r))return void T(`\"${r}\" is not a valid encoding type. Valid types include \"mapbox\", \"terrarium\" and \"custom\".`);this.stride=e.height;const s=this.dim=e.height-2;switch(this.data=new Uint32Array(e.data.buffer),r){case\"terrarium\":this.redFactor=256,this.greenFactor=1,this.blueFactor=1/256,this.baseShift=32768;break;case\"custom\":this.redFactor=n,this.greenFactor=i,this.blueFactor=a,this.baseShift=o;break;default:this.redFactor=6553.6,this.greenFactor=25.6,this.blueFactor=.1,this.baseShift=1e4}for(let t=0;t<s;t++)this.data[this._idx(-1,t)]=this.data[this._idx(0,t)],this.data[this._idx(s,t)]=this.data[this._idx(s-1,t)],this.data[this._idx(t,-1)]=this.data[this._idx(t,0)],this.data[this._idx(t,s)]=this.data[this._idx(t,s-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(s,-1)]=this.data[this._idx(s-1,0)],this.data[this._idx(-1,s)]=this.data[this._idx(0,s-1)],this.data[this._idx(s,s)]=this.data[this._idx(s-1,s-1)],this.min=Number.MAX_SAFE_INTEGER,this.max=Number.MIN_SAFE_INTEGER;for(let t=0;t<s;t++)for(let e=0;e<s;e++){const r=this.get(t,e);r>this.max&&(this.max=r),r<this.min&&(this.min=r)}}get(t,e){const r=new Uint8Array(this.data.buffer),n=4*this._idx(t,e);return this.unpack(r[n],r[n+1],r[n+2])}getUnpackVector(){return[this.redFactor,this.greenFactor,this.blueFactor,this.baseShift]}_idx(t,e){if(t<-1||t>=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(e+1)*this.stride+(t+1)}unpack(t,e,r){return t*this.redFactor+e*this.greenFactor+r*this.blueFactor-this.baseShift}getPixels(){return new Ls({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))}backfillBorder(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");let n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}const s=-e*this.dim,l=-r*this.dim;for(let e=a;e<o;e++)for(let r=n;r<i;r++)this.data[this._idx(r,e)]=t.data[this._idx(r+s,e+l)]}}Mi(\"DEMData\",rh);class nh{constructor(t){this._stringToNumber={},this._numberToString=[];for(let e=0;e<t.length;e++){const r=t[e];this._stringToNumber[r]=e,this._numberToString[e]=r}}encode(t){return this._stringToNumber[t]}decode(t){if(t>=this._numberToString.length)throw new Error(`Out of bounds. Index requested n=${t} can't be >= this._numberToString.length ${this._numberToString.length}`);return this._numberToString[t]}}class ih{constructor(t,e,r,n,i){this.type=\"Feature\",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,this.id=i}get geometry(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry}set geometry(t){this._geometry=t}toJSON(){const t={geometry:this.geometry};for(const e in this)\"_geometry\"!==e&&\"_vectorTileFeature\"!==e&&(t[e]=this[e]);return t}}class ah{constructor(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new ki(Uo,16,0),this.grid3D=new ki(Uo,16,0),this.featureIndexArray=new Za,this.promoteId=e}insert(t,e,r,n,i,a){const o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,i);const s=a?this.grid3D:this.grid;for(let t=0;t<e.length;t++){const r=e[t],n=[1/0,1/0,-1/0,-1/0];for(let t=0;t<r.length;t++){const e=r[t];n[0]=Math.min(n[0],e.x),n[1]=Math.min(n[1],e.y),n[2]=Math.max(n[2],e.x),n[3]=Math.max(n[3],e.y)}n[0]<Uo&&n[1]<Uo&&n[2]>=0&&n[3]>=0&&s.insert(o,n[0],n[1],n[2],n[3])}}loadVTLayers(){return this.vtLayers||(this.vtLayers=new Tl.VectorTile(new Uc(this.rawTileData)).layers,this.sourceLayerCoder=new nh(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers}query(t,e,r,n){this.loadVTLayers();const i=t.params||{},o=Uo/t.tileSize/t.scale,s=zn(i.filter),l=t.queryGeometry,c=t.queryPadding*o,u=sh(l),h=this.grid.query(u.minX-c,u.minY-c,u.maxX+c,u.maxY+c),f=sh(t.cameraQueryGeometry),p=this.grid3D.query(f.minX-c,f.minY-c,f.maxX+c,f.maxY+c,((e,r,n,i)=>function(t,e,r,n,i){for(const a of t)if(e<=a.x&&r<=a.y&&n>=a.x&&i>=a.y)return!0;const o=[new a(e,r),new a(e,i),new a(n,i),new a(n,r)];if(t.length>2)for(const e of o)if(ns(t,e))return!0;for(let e=0;e<t.length-1;e++)if(is(t[e],t[e+1],o))return!0;return!1}(t.cameraQueryGeometry,e-c,r-c,n+c,i+c)));for(const t of p)h.push(t);h.sort(lh);const d={};let m;for(let a=0;a<h.length;a++){const c=h[a];if(c===m)continue;m=c;const u=this.featureIndexArray.get(c);let f=null;this.loadMatchingFeature(d,u.bucketIndex,u.sourceLayerIndex,u.featureIndex,s,i.layers,i.availableImages,e,r,n,((e,r,n)=>(f||(f=Ho(e)),r.queryIntersectsFeature(l,e,n,f,this.z,t.transform,o,t.pixelPosMatrix))))}return d}loadMatchingFeature(t,e,r,n,i,a,o,s,l,c,u){const h=this.bucketLayerIDs[e];if(a&&!function(t,e){for(let r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(a,h))return;const f=this.sourceLayerCoder.decode(r),p=this.vtLayers[f].feature(n);if(i.needGeometry){const t=Go(p,!0);if(!i.filter(new Hi(this.tileID.overscaledZ),t,this.tileID.canonical))return}else if(!i.filter(new Hi(this.tileID.overscaledZ),p))return;const d=this.getId(p,f);for(let e=0;e<h.length;e++){const r=h[e];if(a&&a.indexOf(r)<0)continue;const i=s[r];if(!i)continue;let f={};d&&c&&(f=c.getState(i.sourceLayer||\"_geojsonTileLayer\",d));const m=y({},l[r]);m.paint=oh(m.paint,i.paint,p,f,o),m.layout=oh(m.layout,i.layout,p,f,o);const g=!u||u(p,i,f);if(!g)continue;const v=new ih(p,this.z,this.x,this.y,d);v.layer=m;let x=t[r];void 0===x&&(x=t[r]=[]),x.push({featureIndex:n,feature:v,intersectionZ:g})}}lookupSymbolFeatures(t,e,r,n,i,a,o,s){const l={};this.loadVTLayers();const c=zn(i);for(const i of t)this.loadMatchingFeature(l,r,n,i,c,a,o,s,e);return l}hasLayer(t){for(const e of this.bucketLayerIDs)for(const r of e)if(t===r)return!0;return!1}getId(t,e){let r=t.id;if(this.promoteId){const n=\"string\"==typeof this.promoteId?this.promoteId:this.promoteId[e];r=t.properties[n],\"boolean\"==typeof r&&(r=Number(r))}return r}}function oh(t,e,r,n,i){return x(t,((t,a)=>{const o=e instanceof Ki?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function sh(t){let e=1/0,r=1/0,n=-1/0,i=-1/0;for(const a of t)e=Math.min(e,a.x),r=Math.min(r,a.y),n=Math.max(n,a.x),i=Math.max(i,a.y);return{minX:e,minY:r,maxX:n,maxY:i}}function lh(t,e){return e-t}function ch(t,e,r,n,i){const o=[];for(let s=0;s<t.length;s++){const l=t[s];let c;for(let t=0;t<l.length-1;t++){let s=l[t],u=l[t+1];s.x<e&&u.x<e||(s.x<e?s=new a(e,s.y+(u.y-s.y)*((e-s.x)/(u.x-s.x)))._round():u.x<e&&(u=new a(e,s.y+(u.y-s.y)*((e-s.x)/(u.x-s.x)))._round()),s.y<r&&u.y<r||(s.y<r?s=new a(s.x+(u.x-s.x)*((r-s.y)/(u.y-s.y)),r)._round():u.y<r&&(u=new a(s.x+(u.x-s.x)*((r-s.y)/(u.y-s.y)),r)._round()),s.x>=n&&u.x>=n||(s.x>=n?s=new a(n,s.y+(u.y-s.y)*((n-s.x)/(u.x-s.x)))._round():u.x>=n&&(u=new a(n,s.y+(u.y-s.y)*((n-s.x)/(u.x-s.x)))._round()),s.y>=i&&u.y>=i||(s.y>=i?s=new a(s.x+(u.x-s.x)*((i-s.y)/(u.y-s.y)),i)._round():u.y>=i&&(u=new a(s.x+(u.x-s.x)*((i-s.y)/(u.y-s.y)),i)._round()),c&&s.equals(c[c.length-1])||(c=[s],o.push(c)),c.push(u)))))}}return o}Mi(\"FeatureIndex\",ah,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});class uh extends a{constructor(t,e,r,n){super(t,e),this.angle=r,void 0!==n&&(this.segment=n)}clone(){return new uh(this.x,this.y,this.angle,this.segment)}}function hh(t,e,r,n,i){if(void 0===e.segment||0===r)return!0;let a=e,o=e.segment+1,s=0;for(;s>-r/2;){if(o--,o<0)return!1;s-=t[o].dist(a),a=t[o]}s+=t[o].dist(t[o+1]),o++;const l=[];let c=0;for(;s<r/2;){const e=t[o-1],r=t[o],a=t[o+1];if(!a)return!1;let u=e.angleTo(r)-r.angleTo(a);for(u=Math.abs((u+3*Math.PI)%(2*Math.PI)-Math.PI),l.push({distance:s,angleDelta:u}),c+=u;s-l[0].distance>n;)c-=l.shift().angleDelta;if(c>i)return!1;o++,s+=r.dist(a)}return!0}function fh(t){let e=0;for(let r=0;r<t.length-1;r++)e+=t[r].dist(t[r+1]);return e}function ph(t,e,r){return t?.6*e*r:0}function dh(t,e){return Math.max(t?t.right-t.left:0,e?e.right-e.left:0)}function mh(t,e,r,n,i,a){const o=ph(r,i,a),s=dh(r,n)*a;let l=0;const c=fh(t)/2;for(let r=0;r<t.length-1;r++){const n=t[r],i=t[r+1],a=n.dist(i);if(l+a>c){const u=(c-l)/a,h=Pe.number(n.x,i.x,u),f=Pe.number(n.y,i.y,u),p=new uh(h,f,i.angleTo(n),r);return p._round(),!o||hh(t,p,s,o,e)?p:void 0}l+=a}}function gh(t,e,r,n,i,a,o,s,l){const c=ph(n,a,o),u=dh(n,i),h=u*o,f=0===t[0].x||t[0].x===l||0===t[0].y||t[0].y===l;return e-h<e/4&&(e=h+e/4),yh(t,f?e/2*s%e:(u/2+2*a)*o*s%e,e,c,r,h,f,!1,l)}function yh(t,e,r,n,i,a,o,s,l){const c=a/2,u=fh(t);let h=0,f=e-r,p=[];for(let e=0;e<t.length-1;e++){const o=t[e],s=t[e+1],d=o.dist(s),m=s.angleTo(o);for(;f+r<h+d;){f+=r;const g=(f-h)/d,y=Pe.number(o.x,s.x,g),v=Pe.number(o.y,s.y,g);if(y>=0&&y<l&&v>=0&&v<l&&f-c>=0&&f+c<=u){const r=new uh(y,v,m,e);r._round(),n&&!hh(t,r,a,n,i)||p.push(r)}}h+=d}return s||p.length||o||(p=yh(t,h/2,r,n,i,a,o,!0,l)),p}Mi(\"Anchor\",uh);const vh=Yc;function xh(t,e,r,n){const i=[],o=t.image,s=o.pixelRatio,l=o.paddedRect.w-2*vh,c=o.paddedRect.h-2*vh;let u={x1:t.left,y1:t.top,x2:t.right,y2:t.bottom};const h=o.stretchX||[[0,l]],f=o.stretchY||[[0,c]],p=(t,e)=>t+e[1]-e[0],d=h.reduce(p,0),m=f.reduce(p,0),g=l-d,y=c-m;let v=0,x=d,_=0,b=m,w=0,T=g,k=0,A=y;if(o.content&&n){const e=o.content,r=e[2]-e[0],n=e[3]-e[1];(o.textFitWidth||o.textFitHeight)&&(u=du(t)),v=_h(h,0,e[0]),_=_h(f,0,e[1]),x=_h(h,e[0],e[2]),b=_h(f,e[1],e[3]),w=e[0]-v,k=e[1]-_,T=r-x,A=n-b}const M=u.x1,S=u.y1,E=u.x2-M,C=u.y2-S,L=(t,n,i,l)=>{const c=wh(t.stretch-v,x,E,M),u=Th(t.fixed-w,T,t.stretch,d),h=wh(n.stretch-_,b,C,S),f=Th(n.fixed-k,A,n.stretch,m),p=wh(i.stretch-v,x,E,M),g=Th(i.fixed-w,T,i.stretch,d),y=wh(l.stretch-_,b,C,S),L=Th(l.fixed-k,A,l.stretch,m),I=new a(c,h),P=new a(p,h),z=new a(p,y),O=new a(c,y),D=new a(u/s,f/s),R=new a(g/s,L/s),F=e*Math.PI/180;if(F){const t=Math.sin(F),e=Math.cos(F),r=[e,-t,t,e];I._matMult(r),P._matMult(r),O._matMult(r),z._matMult(r)}const B=t.stretch+t.fixed,N=i.stretch+i.fixed,j=n.stretch+n.fixed,U=l.stretch+l.fixed;return{tl:I,tr:P,bl:O,br:z,tex:{x:o.paddedRect.x+vh+B,y:o.paddedRect.y+vh+j,w:N-B,h:U-j},writingMode:void 0,glyphOffset:[0,0],sectionIndex:0,pixelOffsetTL:D,pixelOffsetBR:R,minFontScaleX:T/s/E,minFontScaleY:A/s/C,isSDF:r}};if(n&&(o.stretchX||o.stretchY)){const t=bh(h,g,d),e=bh(f,y,m);for(let r=0;r<t.length-1;r++){const n=t[r],a=t[r+1];for(let t=0;t<e.length-1;t++){const r=e[t],o=e[t+1];i.push(L(n,r,a,o))}}}else i.push(L({fixed:0,stretch:-1},{fixed:0,stretch:-1},{fixed:0,stretch:l+1},{fixed:0,stretch:c+1}));return i}function _h(t,e,r){let n=0;for(const i of t)n+=Math.max(e,Math.min(r,i[1]))-Math.max(e,Math.min(r,i[0]));return n}function bh(t,e,r){const n=[{fixed:-vh,stretch:0}];for(const[e,r]of t){const t=n[n.length-1];n.push({fixed:e-t.stretch,stretch:t.stretch}),n.push({fixed:e-t.stretch,stretch:t.stretch+(r-e)})}return n.push({fixed:e+vh,stretch:r}),n}function wh(t,e,r,n){return t/e*r+n}function Th(t,e,r,n){return t-e*r/n}class kh{constructor(t,e,r,n,i,o,s,l,c,u){var h;if(this.boxStartIndex=t.length,c){let t=o.top,e=o.bottom;const r=o.collisionPadding;r&&(t-=r[1],e+=r[3]);let n=e-t;n>0&&(n=Math.max(10,n),this.circleDiameter=n)}else{const c=(null===(h=o.image)||void 0===h?void 0:h.content)&&(o.image.textFitWidth||o.image.textFitHeight)?du(o):{x1:o.left,y1:o.top,x2:o.right,y2:o.bottom};c.y1=c.y1*s-l[0],c.y2=c.y2*s+l[2],c.x1=c.x1*s-l[3],c.x2=c.x2*s+l[1];const f=o.collisionPadding;if(f&&(c.x1-=f[0]*s,c.y1-=f[1]*s,c.x2+=f[2]*s,c.y2+=f[3]*s),u){const t=new a(c.x1,c.y1),e=new a(c.x2,c.y1),r=new a(c.x1,c.y2),n=new a(c.x2,c.y2),i=u*Math.PI/180;t._rotate(i),e._rotate(i),r._rotate(i),n._rotate(i),c.x1=Math.min(t.x,e.x,r.x,n.x),c.x2=Math.max(t.x,e.x,r.x,n.x),c.y1=Math.min(t.y,e.y,r.y,n.y),c.y2=Math.max(t.y,e.y,r.y,n.y)}t.emplaceBack(e.x,e.y,c.x1,c.y1,c.x2,c.y2,r,n,i)}this.boxEndIndex=t.length}}class Ah{constructor(t=[],e=((t,e)=>t<e?-1:t>e?1:0)){if(this.data=t,this.length=this.data.length,this.compare=e,this.length>0)for(let t=(this.length>>1)-1;t>=0;t--)this._down(t)}push(t){this.data.push(t),this._up(this.length++)}pop(){if(0===this.length)return;const t=this.data[0],e=this.data.pop();return--this.length>0&&(this.data[0]=e,this._down(0)),t}peek(){return this.data[0]}_up(t){const{data:e,compare:r}=this,n=e[t];for(;t>0;){const i=t-1>>1,a=e[i];if(r(n,a)>=0)break;e[t]=a,t=i}e[t]=n}_down(t){const{data:e,compare:r}=this,n=this.length>>1,i=e[t];for(;t<n;){let n=1+(t<<1);const a=n+1;if(a<this.length&&r(e[a],e[n])<0&&(n=a),r(e[n],i)>=0)break;e[t]=e[n],t=n}e[t]=i}}function Mh(t,e=1,r=!1){let n=1/0,i=1/0,o=-1/0,s=-1/0;const l=t[0];for(let t=0;t<l.length;t++){const e=l[t];(!t||e.x<n)&&(n=e.x),(!t||e.y<i)&&(i=e.y),(!t||e.x>o)&&(o=e.x),(!t||e.y>s)&&(s=e.y)}const c=o-n,u=s-i,h=Math.min(c,u);let f=h/2;const p=new Ah([],Sh);if(0===h)return new a(n,i);for(let e=n;e<o;e+=h)for(let 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u=3===n?l.length-1:l.length,h=0;h<u;h++){1===h&&1!==n&&e.writeVarint(M(2,u-1));var f=l[h].x-i,p=l[h].y-a;e.writeVarint(S(f)),e.writeVarint(S(p)),i+=f,a+=p}3===n&&e.writeVarint(M(7,1))}}function C(t,e){var r=typeof t;\"string\"===r?e.writeStringField(1,t):\"boolean\"===r?e.writeBooleanField(7,t):\"number\"===r&&(t%1!=0?e.writeDoubleField(3,t):t<0?e.writeSVarintField(6,t):e.writeVarintField(5,t))}d.exports=w,d.exports.fromVectorTileJs=w,d.exports.fromGeojsonVt=function(t,e){e=e||{};var r={};for(var n in t)r[n]=new b(t[n].features,e),r[n].name=n,r[n].version=e.version,r[n].extent=e.extent;return w({layers:r})},d.exports.GeoJSONWrapper=b;var L=d.exports,I=t.bx(L);const P={minZoom:0,maxZoom:16,minPoints:2,radius:40,extent:512,nodeSize:64,log:!1,generateId:!1,reduce:null,map:t=>t},z=Math.fround||(O=new Float32Array(1),t=>(O[0]=+t,O[0]));var O;const D=3,R=5,F=6;class B{constructor(t){this.options=Object.assign(Object.create(P),t),this.trees=new Array(this.options.maxZoom+1),this.stride=this.options.reduce?7:6,this.clusterProps=[]}load(t){const{log:e,minZoom:r,maxZoom:n}=this.options;e&&console.time(\"total time\");const i=`prepare ${t.length} points`;e&&console.time(i),this.points=t;const a=[];for(let e=0;e<t.length;e++){const r=t[e];if(!r.geometry)continue;const[n,i]=r.geometry.coordinates,o=z(U(n)),s=z(V(i));a.push(o,s,1/0,e,-1,1),this.options.reduce&&a.push(0)}let o=this.trees[n+1]=this._createTree(a);e&&console.timeEnd(i);for(let t=n;t>=r;t--){const r=+Date.now();o=this.trees[t]=this._createTree(this._cluster(o,t)),e&&console.log(\"z%d: %d clusters in %dms\",t,o.numItems,+Date.now()-r)}return e&&console.timeEnd(\"total time\"),this}getClusters(t,e){let r=((t[0]+180)%360+360)%360-180;const n=Math.max(-90,Math.min(90,t[1]));let i=180===t[2]?180:((t[2]+180)%360+360)%360-180;const a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){const t=this.getClusters([r,n,180,a],e),o=this.getClusters([-180,n,i,a],e);return t.concat(o)}const o=this.trees[this._limitZoom(e)],s=o.range(U(r),V(a),U(i),V(n)),l=o.data,c=[];for(const t of s){const e=this.stride*t;c.push(l[e+R]>1?N(l,e,this.clusterProps):this.points[l[e+D]])}return c}getChildren(t){const e=this._getOriginId(t),r=this._getOriginZoom(t),n=\"No cluster with the specified id.\",i=this.trees[r];if(!i)throw new Error(n);const a=i.data;if(e*this.stride>=a.length)throw new Error(n);const o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=a[e*this.stride],l=a[e*this.stride+1],c=i.within(s,l,o),u=[];for(const e of c){const r=e*this.stride;a[r+4]===t&&u.push(a[r+R]>1?N(a,r,this.clusterProps):this.points[a[r+D]])}if(0===u.length)throw new Error(n);return u}getLeaves(t,e,r){e=e||10,r=r||0;const n=[];return this._appendLeaves(n,t,e,r,0),n}getTile(t,e,r){const n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),{extent:a,radius:o}=this.options,s=o/a,l=(r-s)/i,c=(r+1+s)/i,u={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,c),n.data,e,r,i,u),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,c),n.data,i,r,i,u),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,c),n.data,-1,r,i,u),u.features.length?u:null}getClusterExpansionZoom(t){let e=this._getOriginZoom(t)-1;for(;e<=this.options.maxZoom;){const r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e}_appendLeaves(t,e,r,n,i){const a=this.getChildren(e);for(const e of a){const a=e.properties;if(a&&a.cluster?i+a.point_count<=n?i+=a.point_count:i=this._appendLeaves(t,a.cluster_id,r,n,i):i<n?i++:t.push(e),t.length===r)break}return i}_createTree(e){const r=new t.aw(e.length/this.stride|0,this.options.nodeSize,Float32Array);for(let t=0;t<e.length;t+=this.stride)r.add(e[t],e[t+1]);return r.finish(),r.data=e,r}_addTileFeatures(t,e,r,n,i,a){for(const o of 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a=e===i.maxZoom?0:i.tolerance/((1<<e)*i.extent),o={features:[],numPoints:0,numSimplified:0,numFeatures:t.length,source:null,x:r,y:n,z:e,transformed:!1,minX:2,minY:1,maxX:-1,maxY:0};for(const e of t)pt(o,e,a,i);return o}function pt(t,e,r,n){const i=e.geometry,a=e.type,o=[];if(t.minX=Math.min(t.minX,e.minX),t.minY=Math.min(t.minY,e.minY),t.maxX=Math.max(t.maxX,e.maxX),t.maxY=Math.max(t.maxY,e.maxY),\"Point\"===a||\"MultiPoint\"===a)for(let e=0;e<i.length;e+=3)o.push(i[e],i[e+1]),t.numPoints++,t.numSimplified++;else if(\"LineString\"===a)dt(o,i,t,r,!1,!1);else if(\"MultiLineString\"===a||\"Polygon\"===a)for(let e=0;e<i.length;e++)dt(o,i[e],t,r,\"Polygon\"===a,0===e);else if(\"MultiPolygon\"===a)for(let e=0;e<i.length;e++){const n=i[e];for(let e=0;e<n.length;e++)dt(o,n[e],t,r,!0,0===e)}if(o.length){let r=e.tags||null;if(\"LineString\"===a&&n.lineMetrics){r={};for(const t in e.tags)r[t]=e.tags[t];r.mapbox_clip_start=i.start/i.size,r.mapbox_clip_end=i.end/i.size}const s={geometry:o,type:\"Polygon\"===a||\"MultiPolygon\"===a?3:\"LineString\"===a||\"MultiLineString\"===a?2:1,tags:r};null!==e.id&&(s.id=e.id),t.features.push(s)}}function dt(t,e,r,n,i,a){const o=n*n;if(n>0&&e.size<(i?o:n))return void(r.numPoints+=e.length/3);const s=[];for(let t=0;t<e.length;t+=3)(0===n||e[t+2]>o)&&(r.numSimplified++,s.push(e[t],e[t+1])),r.numPoints++;i&&function(t,e){let r=0;for(let e=0,n=t.length,i=n-2;e<n;i=e,e+=2)r+=(t[e]-t[i])*(t[e+1]+t[i+1]);if(r>0===e)for(let e=0,r=t.length;e<r/2;e+=2){const n=t[e],i=t[e+1];t[e]=t[r-2-e],t[e+1]=t[r-1-e],t[r-2-e]=n,t[r-1-e]=i}}(s,a),t.push(s)}const mt={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0};class gt{constructor(t,e){const r=(e=this.options=function(t,e){for(const r in e)t[r]=e[r];return t}(Object.create(mt),e)).debug;if(r&&console.time(\"preprocess data\"),e.maxZoom<0||e.maxZoom>24)throw new Error(\"maxZoom should be in the 0-24 range\");if(e.promoteId&&e.generateId)throw new Error(\"promoteId and generateId cannot be used together.\");let n=function(t,e){const r=[];if(\"FeatureCollection\"===t.type)for(let n=0;n<t.features.length;n++)Y(r,t.features[n],e,n);else\"Feature\"===t.type?Y(r,t,e):Y(r,{geometry:t},e);return r}(t,e);this.tiles={},this.tileCoords=[],r&&(console.timeEnd(\"preprocess data\"),console.log(\"index: maxZoom: %d, maxPoints: %d\",e.indexMaxZoom,e.indexMaxPoints),console.time(\"generate tiles\"),this.stats={},this.total=0),n=function(t,e){const r=e.buffer/e.extent;let n=t;const i=tt(t,1,-1-r,r,0,-1,2,e),a=tt(t,1,1-r,2+r,0,-1,2,e);return(i||a)&&(n=tt(t,1,-r,1+r,0,-1,2,e)||[],i&&(n=lt(i,1).concat(n)),a&&(n=n.concat(lt(a,-1)))),n}(n,e),n.length&&this.splitTile(n,0,0,0),r&&(n.length&&console.log(\"features: %d, points: %d\",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd(\"generate tiles\"),console.log(\"tiles generated:\",this.total,JSON.stringify(this.stats)))}splitTile(t,e,r,n,i,a,o){const s=[t,e,r,n],l=this.options,c=l.debug;for(;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();const u=1<<e,h=yt(e,r,n);let f=this.tiles[h];if(!f&&(c>1&&console.time(\"creation\"),f=this.tiles[h]=ft(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),c)){c>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,f.numFeatures,f.numPoints,f.numSimplified),console.timeEnd(\"creation\"));const t=`z${e}`;this.stats[t]=(this.stats[t]||0)+1,this.total++}if(f.source=t,null==i){if(e===l.indexMaxZoom||f.numPoints<=l.indexMaxPoints)continue}else{if(e===l.maxZoom||e===i)continue;if(null!=i){const t=i-e;if(r!==a>>t||n!==o>>t)continue}}if(f.source=null,0===t.length)continue;c>1&&console.time(\"clipping\");const p=.5*l.buffer/l.extent,d=.5-p,m=.5+p,g=1+p;let y=null,v=null,x=null,_=null,b=tt(t,u,r-p,r+m,0,f.minX,f.maxX,l),w=tt(t,u,r+d,r+g,0,f.minX,f.maxX,l);t=null,b&&(y=tt(b,u,n-p,n+m,1,f.minY,f.maxY,l),v=tt(b,u,n+d,n+g,1,f.minY,f.maxY,l),b=null),w&&(x=tt(w,u,n-p,n+m,1,f.minY,f.maxY,l),_=tt(w,u,n+d,n+g,1,f.minY,f.maxY,l),w=null),c>1&&console.timeEnd(\"clipping\"),s.push(y||[],e+1,2*r,2*n),s.push(v||[],e+1,2*r,2*n+1),s.push(x||[],e+1,2*r+1,2*n),s.push(_||[],e+1,2*r+1,2*n+1)}}getTile(t,e,r){t=+t,e=+e,r=+r;const n=this.options,{extent:i,debug:a}=n;if(t<0||t>24)return null;const o=1<<t,s=yt(t,e=e+o&o-1,r);if(this.tiles[s])return ut(this.tiles[s],i);a>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);let l,c=t,u=e,h=r;for(;!l&&c>0;)c--,u>>=1,h>>=1,l=this.tiles[yt(c,u,h)];return l&&l.source?(a>1&&(console.log(\"found parent tile z%d-%d-%d\",c,u,h),console.time(\"drilling down\")),this.splitTile(l.source,c,u,h,t,e,r),a>1&&console.timeEnd(\"drilling down\"),this.tiles[s]?ut(this.tiles[s],i):null):null}}function yt(t,e,r){return 32*((1<<t)*r+e)+t}function vt(t,e){return e?t.properties[e]:t.id}function xt(t,e){if(null==t)return!0;if(\"Feature\"===t.type)return null!=vt(t,e);if(\"FeatureCollection\"===t.type){const r=new Set;for(const n of t.features){const t=vt(n,e);if(null==t)return!1;if(r.has(t))return!1;r.add(t)}return!0}return!1}function _t(t,e){const r=new Map;if(null==t);else if(\"Feature\"===t.type)r.set(vt(t,e),t);else for(const n of t.features)r.set(vt(n,e),n);return r}class bt extends a{constructor(){super(...arguments),this._dataUpdateable=new Map}loadVectorTile(e,r){return t._(this,void 0,void 0,(function*(){const t=e.tileID.canonical;if(!this._geoJSONIndex)throw new Error(\"Unable to parse the data into a cluster or geojson\");const r=this._geoJSONIndex.getTile(t.z,t.x,t.y);if(!r)return null;const n=new p(r.features);let i=I(n);return 0===i.byteOffset&&i.byteLength===i.buffer.byteLength||(i=new Uint8Array(i)),{vectorTile:n,rawData:i.buffer}}))}loadData(e){return t._(this,void 0,void 0,(function*(){var r;null===(r=this._pendingRequest)||void 0===r||r.abort();const n=!!(e&&e.request&&e.request.collectResourceTiming)&&new t.bu(e.request);this._pendingRequest=new AbortController;try{this._pendingData=this.loadAndProcessGeoJSON(e,this._pendingRequest),this._geoJSONIndex=e.cluster?new B(function({superclusterOptions:e,clusterProperties:r}){if(!r||!e)return e;const n={},i={},a={accumulated:null,zoom:0},o={properties:null},s=Object.keys(r);for(const e of s){const[a,o]=r[e],s=t.bB(o),l=t.bB(\"string\"==typeof a?[a,[\"accumulated\"],[\"get\",e]]:a);n[e]=s.value,i[e]=l.value}return e.map=t=>{o.properties=t;const e={};for(const t of s)e[t]=n[t].evaluate(a,o);return e},e.reduce=(t,e)=>{o.properties=e;for(const e of s)a.accumulated=t[e],t[e]=i[e].evaluate(a,o)},e}(e)).load((yield this._pendingData).features):(i=yield this._pendingData,a=e.geojsonVtOptions,new gt(i,a)),this.loaded={};const r={};if(n){const t=n.finish();t&&(r.resourceTiming={},r.resourceTiming[e.source]=JSON.parse(JSON.stringify(t)))}return r}catch(e){if(delete this._pendingRequest,t.bA(e))return{abandoned:!0};throw e}var i,a}))}getData(){return t._(this,void 0,void 0,(function*(){return this._pendingData}))}reloadTile(t){const e=this.loaded,r=t.uid;return e&&e[r]?super.reloadTile(t):this.loadTile(t)}loadAndProcessGeoJSON(e,r){return t._(this,void 0,void 0,(function*(){let n=yield this.loadGeoJSON(e,r);if(delete this._pendingRequest,\"object\"!=typeof n)throw new Error(`Input data given to '${e.source}' is not a valid GeoJSON object.`);if(u(n,!0),e.filter){const r=t.bB(e.filter,{type:\"boolean\",\"property-type\":\"data-driven\",overridable:!1,transition:!1});if(\"error\"===r.result)throw new Error(r.value.map((t=>`${t.key}: ${t.message}`)).join(\", \"));const i=n.features.filter((t=>r.value.evaluate({zoom:0},t)));n={type:\"FeatureCollection\",features:i}}return n}))}loadGeoJSON(e,r){return t._(this,void 0,void 0,(function*(){const{promoteId:n}=e;if(e.request){const i=yield t.h(e.request,r);return this._dataUpdateable=xt(i.data,n)?_t(i.data,n):void 0,i.data}if(\"string\"==typeof e.data)try{const t=JSON.parse(e.data);return this._dataUpdateable=xt(t,n)?_t(t,n):void 0,t}catch(t){throw new Error(`Input data given to '${e.source}' is not a valid GeoJSON object.`)}if(!e.dataDiff)throw new Error(`Input data given to '${e.source}' is not a valid GeoJSON object.`);if(!this._dataUpdateable)throw new Error(`Cannot update existing geojson data in ${e.source}`);return function(t,e,r){var n,i,a,o;if(e.removeAll&&t.clear(),e.remove)for(const r of e.remove)t.delete(r);if(e.add)for(const n of e.add){const e=vt(n,r);null!=e&&t.set(e,n)}if(e.update)for(const r of e.update){let e=t.get(r.id);if(null==e)continue;const s=r.newGeometry||r.removeAllProperties,l=!r.removeAllProperties&&((null===(n=r.removeProperties)||void 0===n?void 0:n.length)>0||(null===(i=r.addOrUpdateProperties)||void 0===i?void 0:i.length)>0);if((s||l)&&(e=Object.assign({},e),t.set(r.id,e),l&&(e.properties=Object.assign({},e.properties))),r.newGeometry&&(e.geometry=r.newGeometry),r.removeAllProperties)e.properties={};else if((null===(a=r.removeProperties)||void 0===a?void 0:a.length)>0)for(const t of r.removeProperties)Object.prototype.hasOwnProperty.call(e.properties,t)&&delete e.properties[t];if((null===(o=r.addOrUpdateProperties)||void 0===o?void 0:o.length)>0)for(const{key:t,value:n}of r.addOrUpdateProperties)e.properties[t]=n}}(this._dataUpdateable,e.dataDiff,n),{type:\"FeatureCollection\",features:Array.from(this._dataUpdateable.values())}}))}removeSource(e){return t._(this,void 0,void 0,(function*(){this._pendingRequest&&this._pendingRequest.abort()}))}getClusterExpansionZoom(t){return this._geoJSONIndex.getClusterExpansionZoom(t.clusterId)}getClusterChildren(t){return this._geoJSONIndex.getChildren(t.clusterId)}getClusterLeaves(t){return this._geoJSONIndex.getLeaves(t.clusterId,t.limit,t.offset)}}class wt{constructor(e){this.self=e,this.actor=new t.F(e),this.layerIndexes={},this.availableImages={},this.workerSources={},this.demWorkerSources={},this.externalWorkerSourceTypes={},this.self.registerWorkerSource=(t,e)=>{if(this.externalWorkerSourceTypes[t])throw new Error(`Worker source with name \"${t}\" already registered.`);this.externalWorkerSourceTypes[t]=e},this.self.addProtocol=t.bh,this.self.removeProtocol=t.bi,this.self.registerRTLTextPlugin=e=>{if(t.bC.isParsed())throw new Error(\"RTL text plugin already registered.\");t.bC.setMethods(e)},this.actor.registerMessageHandler(\"LDT\",((t,e)=>this._getDEMWorkerSource(t,e.source).loadTile(e))),this.actor.registerMessageHandler(\"RDT\",((e,r)=>t._(this,void 0,void 0,(function*(){this._getDEMWorkerSource(e,r.source).removeTile(r)})))),this.actor.registerMessageHandler(\"GCEZ\",((e,r)=>t._(this,void 0,void 0,(function*(){return this._getWorkerSource(e,r.type,r.source).getClusterExpansionZoom(r)})))),this.actor.registerMessageHandler(\"GCC\",((e,r)=>t._(this,void 0,void 0,(function*(){return this._getWorkerSource(e,r.type,r.source).getClusterChildren(r)})))),this.actor.registerMessageHandler(\"GCL\",((e,r)=>t._(this,void 0,void 0,(function*(){return this._getWorkerSource(e,r.type,r.source).getClusterLeaves(r)})))),this.actor.registerMessageHandler(\"LD\",((t,e)=>this._getWorkerSource(t,e.type,e.source).loadData(e))),this.actor.registerMessageHandler(\"GD\",((t,e)=>this._getWorkerSource(t,e.type,e.source).getData())),this.actor.registerMessageHandler(\"LT\",((t,e)=>this._getWorkerSource(t,e.type,e.source).loadTile(e))),this.actor.registerMessageHandler(\"RT\",((t,e)=>this._getWorkerSource(t,e.type,e.source).reloadTile(e))),this.actor.registerMessageHandler(\"AT\",((t,e)=>this._getWorkerSource(t,e.type,e.source).abortTile(e))),this.actor.registerMessageHandler(\"RMT\",((t,e)=>this._getWorkerSource(t,e.type,e.source).removeTile(e))),this.actor.registerMessageHandler(\"RS\",((e,r)=>t._(this,void 0,void 0,(function*(){if(!this.workerSources[e]||!this.workerSources[e][r.type]||!this.workerSources[e][r.type][r.source])return;const t=this.workerSources[e][r.type][r.source];delete this.workerSources[e][r.type][r.source],void 0!==t.removeSource&&t.removeSource(r)})))),this.actor.registerMessageHandler(\"RM\",(e=>t._(this,void 0,void 0,(function*(){delete this.layerIndexes[e],delete this.availableImages[e],delete this.workerSources[e],delete this.demWorkerSources[e]})))),this.actor.registerMessageHandler(\"SR\",((e,r)=>t._(this,void 0,void 0,(function*(){this.referrer=r})))),this.actor.registerMessageHandler(\"SRPS\",((t,e)=>this._syncRTLPluginState(t,e))),this.actor.registerMessageHandler(\"IS\",((e,r)=>t._(this,void 0,void 0,(function*(){this.self.importScripts(r)})))),this.actor.registerMessageHandler(\"SI\",((t,e)=>this._setImages(t,e))),this.actor.registerMessageHandler(\"UL\",((e,r)=>t._(this,void 0,void 0,(function*(){this._getLayerIndex(e).update(r.layers,r.removedIds)})))),this.actor.registerMessageHandler(\"SL\",((e,r)=>t._(this,void 0,void 0,(function*(){this._getLayerIndex(e).replace(r)}))))}_setImages(e,r){return t._(this,void 0,void 0,(function*(){this.availableImages[e]=r;for(const t in this.workerSources[e]){const n=this.workerSources[e][t];for(const t in n)n[t].availableImages=r}}))}_syncRTLPluginState(e,r){return t._(this,void 0,void 0,(function*(){if(t.bC.isParsed())return t.bC.getState();if(\"loading\"!==r.pluginStatus)return t.bC.setState(r),r;const e=r.pluginURL;if(this.self.importScripts(e),t.bC.isParsed()){const r={pluginStatus:\"loaded\",pluginURL:e};return t.bC.setState(r),r}throw t.bC.setState({pluginStatus:\"error\",pluginURL:\"\"}),new Error(`RTL Text Plugin failed to import scripts from ${e}`)}))}_getAvailableImages(t){let e=this.availableImages[t];return e||(e=[]),e}_getLayerIndex(t){let r=this.layerIndexes[t];return r||(r=this.layerIndexes[t]=new e),r}_getWorkerSource(t,e,r){if(this.workerSources[t]||(this.workerSources[t]={}),this.workerSources[t][e]||(this.workerSources[t][e]={}),!this.workerSources[t][e][r]){const n={sendAsync:(e,r)=>(e.targetMapId=t,this.actor.sendAsync(e,r))};switch(e){case\"vector\":this.workerSources[t][e][r]=new a(n,this._getLayerIndex(t),this._getAvailableImages(t));break;case\"geojson\":this.workerSources[t][e][r]=new bt(n,this._getLayerIndex(t),this._getAvailableImages(t));break;default:this.workerSources[t][e][r]=new this.externalWorkerSourceTypes[e](n,this._getLayerIndex(t),this._getAvailableImages(t))}}return this.workerSources[t][e][r]}_getDEMWorkerSource(t,e){return this.demWorkerSources[t]||(this.demWorkerSources[t]={}),this.demWorkerSources[t][e]||(this.demWorkerSources[t][e]=new o),this.demWorkerSources[t][e]}}return t.i(self)&&(self.worker=new wt(self)),wt})),r(\"index\",0,(function(t,e){var r=\"4.5.2\";let n,i;const a={now:\"undefined\"!=typeof performance&&performance&&performance.now?performance.now.bind(performance):Date.now.bind(Date),frameAsync(t){return new Promise(((r,n)=>{const i=requestAnimationFrame(r);t.signal.addEventListener(\"abort\",(()=>{cancelAnimationFrame(i),n(e.c())}))}))},getImageData(t,e=0){return this.getImageCanvasContext(t).getImageData(-e,-e,t.width+2*e,t.height+2*e)},getImageCanvasContext(t){const e=window.document.createElement(\"canvas\"),r=e.getContext(\"2d\",{willReadFrequently:!0});if(!r)throw new Error(\"failed to create canvas 2d context\");return e.width=t.width,e.height=t.height,r.drawImage(t,0,0,t.width,t.height),r},resolveURL(t){return n||(n=document.createElement(\"a\")),n.href=t,n.href},hardwareConcurrency:\"undefined\"!=typeof navigator&&navigator.hardwareConcurrency||4,get prefersReducedMotion(){return!!matchMedia&&(null==i&&(i=matchMedia(\"(prefers-reduced-motion: reduce)\")),i.matches)}};class o{static testProp(t){if(!o.docStyle)return t[0];for(let e=0;e<t.length;e++)if(t[e]in o.docStyle)return t[e];return t[0]}static create(t,e,r){const n=window.document.createElement(t);return void 0!==e&&(n.className=e),r&&r.appendChild(n),n}static createNS(t,e){return window.document.createElementNS(t,e)}static disableDrag(){o.docStyle&&o.selectProp&&(o.userSelect=o.docStyle[o.selectProp],o.docStyle[o.selectProp]=\"none\")}static enableDrag(){o.docStyle&&o.selectProp&&(o.docStyle[o.selectProp]=o.userSelect)}static setTransform(t,e){t.style[o.transformProp]=e}static addEventListener(t,e,r,n={}){\"passive\"in n?t.addEventListener(e,r,n):t.addEventListener(e,r,n.capture)}static removeEventListener(t,e,r,n={}){\"passive\"in n?t.removeEventListener(e,r,n):t.removeEventListener(e,r,n.capture)}static suppressClickInternal(t){t.preventDefault(),t.stopPropagation(),window.removeEventListener(\"click\",o.suppressClickInternal,!0)}static suppressClick(){window.addEventListener(\"click\",o.suppressClickInternal,!0),window.setTimeout((()=>{window.removeEventListener(\"click\",o.suppressClickInternal,!0)}),0)}static getScale(t){const e=t.getBoundingClientRect();return{x:e.width/t.offsetWidth||1,y:e.height/t.offsetHeight||1,boundingClientRect:e}}static getPoint(t,r,n){const i=r.boundingClientRect;return new e.P((n.clientX-i.left)/r.x-t.clientLeft,(n.clientY-i.top)/r.y-t.clientTop)}static mousePos(t,e){const r=o.getScale(t);return o.getPoint(t,r,e)}static touchPos(t,e){const r=[],n=o.getScale(t);for(let i=0;i<e.length;i++)r.push(o.getPoint(t,n,e[i]));return r}static mouseButton(t){return t.button}static remove(t){t.parentNode&&t.parentNode.removeChild(t)}}o.docStyle=\"undefined\"!=typeof window&&window.document&&window.document.documentElement.style,o.selectProp=o.testProp([\"userSelect\",\"MozUserSelect\",\"WebkitUserSelect\",\"msUserSelect\"]),o.transformProp=o.testProp([\"transform\",\"WebkitTransform\"]);const s={supported:!1,testSupport:function(t){!u&&c&&(h?f(t):l=t)}};let l,c,u=!1,h=!1;function f(t){const e=t.createTexture();t.bindTexture(t.TEXTURE_2D,e);try{if(t.texImage2D(t.TEXTURE_2D,0,t.RGBA,t.RGBA,t.UNSIGNED_BYTE,c),t.isContextLost())return;s.supported=!0}catch(t){}t.deleteTexture(e),u=!0}var p;\"undefined\"!=typeof document&&(c=document.createElement(\"img\"),c.onload=()=>{l&&f(l),l=null,h=!0},c.onerror=()=>{u=!0,l=null},c.src=\"data:image/webp;base64,UklGRh4AAABXRUJQVlA4TBEAAAAvAQAAAAfQ//73v/+BiOh/AAA=\"),function(t){let r,n,i,a;t.resetRequestQueue=()=>{r=[],n=0,i=0,a={}},t.addThrottleControl=t=>{const e=i++;return a[e]=t,e},t.removeThrottleControl=t=>{delete a[t],l()};t.getImage=(t,n,i=!0)=>new Promise(((a,o)=>{s.supported&&(t.headers||(t.headers={}),t.headers.accept=\"image/webp,*/*\"),e.e(t,{type:\"image\"});const c={abortController:n,requestParameters:t,supportImageRefresh:i,state:\"queued\",onError:t=>{o(t)},onSuccess:t=>{a(t)}};r.push(c),l()}));const o=t=>e._(this,void 0,void 0,(function*(){t.state=\"running\";const{requestParameters:r,supportImageRefresh:i,onError:a,onSuccess:o,abortController:s}=t,u=!1===i&&!e.i(self)&&!e.g(r.url)&&(!r.headers||Object.keys(r.headers).reduce(((t,e)=>t&&\"accept\"===e),!0));n++;const h=u?c(r,s):e.m(r,s);try{const r=yield h;delete t.abortController,t.state=\"completed\",r.data instanceof HTMLImageElement||e.b(r.data)?o(r):r.data&&o({data:yield(f=r.data,\"function\"==typeof createImageBitmap?e.d(f):e.f(f)),cacheControl:r.cacheControl,expires:r.expires})}catch(e){delete t.abortController,a(e)}finally{n--,l()}var f})),l=()=>{const t=(()=>{for(const t of Object.keys(a))if(a[t]())return!0;return!1})()?e.a.MAX_PARALLEL_IMAGE_REQUESTS_PER_FRAME:e.a.MAX_PARALLEL_IMAGE_REQUESTS;for(let e=n;e<t&&r.length>0;e++){const t=r.shift();t.abortController.signal.aborted?e--:o(t)}},c=(t,r)=>new Promise(((n,i)=>{const a=new Image,o=t.url,s=t.credentials;s&&\"include\"===s?a.crossOrigin=\"use-credentials\":(s&&\"same-origin\"===s||!e.s(o))&&(a.crossOrigin=\"anonymous\"),r.signal.addEventListener(\"abort\",(()=>{a.src=\"\",i(e.c())})),a.fetchPriority=\"high\",a.onload=()=>{a.onerror=a.onload=null,n({data:a})},a.onerror=()=>{a.onerror=a.onload=null,r.signal.aborted||i(new Error(\"Could not load image. Please make sure to use a supported image type such as PNG or JPEG. Note that SVGs are not supported.\"))},a.src=o}))}(p||(p={})),p.resetRequestQueue();class d{constructor(t){this._transformRequestFn=t}transformRequest(t,e){return this._transformRequestFn&&this._transformRequestFn(t,e)||{url:t}}setTransformRequest(t){this._transformRequestFn=t}}function m(t){var r=new e.A(3);return r[0]=t[0],r[1]=t[1],r[2]=t[2],r}var g,y=function(t,e,r){return t[0]=e[0]-r[0],t[1]=e[1]-r[1],t[2]=e[2]-r[2],t};g=new e.A(3),e.A!=Float32Array&&(g[0]=0,g[1]=0,g[2]=0);var v=function(t){var e=t[0],r=t[1];return e*e+r*r};function x(t){const e=[];if(\"string\"==typeof t)e.push({id:\"default\",url:t});else if(t&&t.length>0){const r=[];for(const{id:n,url:i}of t){const t=`${n}${i}`;-1===r.indexOf(t)&&(r.push(t),e.push({id:n,url:i}))}}return e}function _(t,e,r){const n=t.split(\"?\");return n[0]+=`${e}${r}`,n.join(\"?\")}function b(t,r,n,i){return e._(this,void 0,void 0,(function*(){const o=x(t),s=n>1?\"@2x\":\"\",l={},c={};for(const{id:t,url:n}of o){const a=r.transformRequest(_(n,s,\".json\"),\"SpriteJSON\");l[t]=e.h(a,i);const o=r.transformRequest(_(n,s,\".png\"),\"SpriteImage\");c[t]=p.getImage(o,i)}return yield Promise.all([...Object.values(l),...Object.values(c)]),function(t,r){return e._(this,void 0,void 0,(function*(){const e={};for(const n in t){e[n]={};const i=a.getImageCanvasContext((yield r[n]).data),o=(yield t[n]).data;for(const t in o){const{width:r,height:a,x:s,y:l,sdf:c,pixelRatio:u,stretchX:h,stretchY:f,content:p,textFitWidth:d,textFitHeight:m}=o[t],g={width:r,height:a,x:s,y:l,context:i};e[n][t]={data:null,pixelRatio:u,sdf:c,stretchX:h,stretchY:f,content:p,textFitWidth:d,textFitHeight:m,spriteData:g}}}return e}))}(l,c)}))}!function(){var t=new e.A(2);e.A!=Float32Array&&(t[0]=0,t[1]=0)}();class w{constructor(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)}update(t,r,n){const{width:i,height:a}=t,o=!(this.size&&this.size[0]===i&&this.size[1]===a||n),{context:s}=this,{gl:l}=s;if(this.useMipmap=Boolean(r&&r.useMipmap),l.bindTexture(l.TEXTURE_2D,this.texture),s.pixelStoreUnpackFlipY.set(!1),s.pixelStoreUnpack.set(1),s.pixelStoreUnpackPremultiplyAlpha.set(this.format===l.RGBA&&(!r||!1!==r.premultiply)),o)this.size=[i,a],t instanceof HTMLImageElement||t instanceof HTMLCanvasElement||t instanceof HTMLVideoElement||t instanceof ImageData||e.b(t)?l.texImage2D(l.TEXTURE_2D,0,this.format,this.format,l.UNSIGNED_BYTE,t):l.texImage2D(l.TEXTURE_2D,0,this.format,i,a,0,this.format,l.UNSIGNED_BYTE,t.data);else{const{x:r,y:o}=n||{x:0,y:0};t instanceof HTMLImageElement||t instanceof HTMLCanvasElement||t instanceof HTMLVideoElement||t instanceof ImageData||e.b(t)?l.texSubImage2D(l.TEXTURE_2D,0,r,o,l.RGBA,l.UNSIGNED_BYTE,t):l.texSubImage2D(l.TEXTURE_2D,0,r,o,i,a,l.RGBA,l.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&l.generateMipmap(l.TEXTURE_2D)}bind(t,e,r){const{context:n}=this,{gl:i}=n;i.bindTexture(i.TEXTURE_2D,this.texture),r!==i.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(r=i.LINEAR),t!==this.filter&&(i.texParameteri(i.TEXTURE_2D,i.TEXTURE_MAG_FILTER,t),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_MIN_FILTER,r||t),this.filter=t),e!==this.wrap&&(i.texParameteri(i.TEXTURE_2D,i.TEXTURE_WRAP_S,e),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_WRAP_T,e),this.wrap=e)}isSizePowerOfTwo(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0}destroy(){const{gl:t}=this.context;t.deleteTexture(this.texture),this.texture=null}}function T(t){const{userImage:e}=t;return!!(e&&e.render&&e.render())&&(t.data.replace(new Uint8Array(e.data.buffer)),!0)}class k extends e.E{constructor(){super(),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new e.R({width:1,height:1}),this.dirty=!0}isLoaded(){return this.loaded}setLoaded(t){if(this.loaded!==t&&(this.loaded=t,t)){for(const{ids:t,promiseResolve:e}of this.requestors)e(this._getImagesForIds(t));this.requestors=[]}}getImage(t){const r=this.images[t];if(r&&!r.data&&r.spriteData){const t=r.spriteData;r.data=new e.R({width:t.width,height:t.height},t.context.getImageData(t.x,t.y,t.width,t.height).data),r.spriteData=null}return r}addImage(t,e){if(this.images[t])throw new Error(`Image id ${t} already exist, use updateImage instead`);this._validate(t,e)&&(this.images[t]=e)}_validate(t,r){let n=!0;const i=r.data||r.spriteData;return this._validateStretch(r.stretchX,i&&i.width)||(this.fire(new e.j(new Error(`Image \"${t}\" has invalid \"stretchX\" value`))),n=!1),this._validateStretch(r.stretchY,i&&i.height)||(this.fire(new e.j(new Error(`Image \"${t}\" has invalid \"stretchY\" value`))),n=!1),this._validateContent(r.content,r)||(this.fire(new e.j(new Error(`Image \"${t}\" has invalid \"content\" value`))),n=!1),n}_validateStretch(t,e){if(!t)return!0;let r=0;for(const n of t){if(n[0]<r||n[1]<n[0]||e<n[1])return!1;r=n[1]}return!0}_validateContent(t,e){if(!t)return!0;if(4!==t.length)return!1;const r=e.spriteData,n=r&&r.width||e.data.width,i=r&&r.height||e.data.height;return!(t[0]<0||n<t[0]||t[1]<0||i<t[1]||t[2]<0||n<t[2]||t[3]<0||i<t[3]||t[2]<t[0]||t[3]<t[1])}updateImage(t,e,r=!0){const n=this.getImage(t);if(r&&(n.data.width!==e.data.width||n.data.height!==e.data.height))throw new Error(`size mismatch between old image (${n.data.width}x${n.data.height}) and new image (${e.data.width}x${e.data.height}).`);e.version=n.version+1,this.images[t]=e,this.updatedImages[t]=!0}removeImage(t){const e=this.images[t];delete this.images[t],delete this.patterns[t],e.userImage&&e.userImage.onRemove&&e.userImage.onRemove()}listImages(){return Object.keys(this.images)}getImages(t){return new Promise(((e,r)=>{let n=!0;if(!this.isLoaded())for(const e of t)this.images[e]||(n=!1);this.isLoaded()||n?e(this._getImagesForIds(t)):this.requestors.push({ids:t,promiseResolve:e})}))}_getImagesForIds(t){const r={};for(const n of t){let t=this.getImage(n);t||(this.fire(new e.k(\"styleimagemissing\",{id:n})),t=this.getImage(n)),t?r[n]={data:t.data.clone(),pixelRatio:t.pixelRatio,sdf:t.sdf,version:t.version,stretchX:t.stretchX,stretchY:t.stretchY,content:t.content,textFitWidth:t.textFitWidth,textFitHeight:t.textFitHeight,hasRenderCallback:Boolean(t.userImage&&t.userImage.render)}:e.w(`Image \"${n}\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. You can provide missing images by listening for the \"styleimagemissing\" map event.`)}return r}getPixelSize(){const{width:t,height:e}=this.atlasImage;return{width:t,height:e}}getPattern(t){const r=this.patterns[t],n=this.getImage(t);if(!n)return null;if(r&&r.position.version===n.version)return r.position;if(r)r.position.version=n.version;else{const r={w:n.data.width+2,h:n.data.height+2,x:0,y:0},i=new e.I(r,n);this.patterns[t]={bin:r,position:i}}return this._updatePatternAtlas(),this.patterns[t].position}bind(t){const e=t.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new w(t,this.atlasImage,e.RGBA),this.atlasTexture.bind(e.LINEAR,e.CLAMP_TO_EDGE)}_updatePatternAtlas(){const t=[];for(const e in this.patterns)t.push(this.patterns[e].bin);const{w:r,h:n}=e.p(t),i=this.atlasImage;i.resize({width:r||1,height:n||1});for(const t in this.patterns){const{bin:r}=this.patterns[t],n=r.x+1,a=r.y+1,o=this.getImage(t).data,s=o.width,l=o.height;e.R.copy(o,i,{x:0,y:0},{x:n,y:a},{width:s,height:l}),e.R.copy(o,i,{x:0,y:l-1},{x:n,y:a-1},{width:s,height:1}),e.R.copy(o,i,{x:0,y:0},{x:n,y:a+l},{width:s,height:1}),e.R.copy(o,i,{x:s-1,y:0},{x:n-1,y:a},{width:1,height:l}),e.R.copy(o,i,{x:0,y:0},{x:n+s,y:a},{width:1,height:l})}this.dirty=!0}beginFrame(){this.callbackDispatchedThisFrame={}}dispatchRenderCallbacks(t){for(const r of t){if(this.callbackDispatchedThisFrame[r])continue;this.callbackDispatchedThisFrame[r]=!0;const t=this.getImage(r);t||e.w(`Image with ID: \"${r}\" was not found`),T(t)&&this.updateImage(r,t)}}}const A=1e20;function M(t,e,r,n,i,a,o,s,l){for(let c=e;c<e+n;c++)S(t,r*a+c,a,i,o,s,l);for(let c=r;c<r+i;c++)S(t,c*a+e,1,n,o,s,l)}function S(t,e,r,n,i,a,o){a[0]=0,o[0]=-A,o[1]=A,i[0]=t[e];for(let s=1,l=0,c=0;s<n;s++){i[s]=t[e+s*r];const n=s*s;do{const t=a[l];c=(i[s]-i[t]+n-t*t)/(s-t)/2}while(c<=o[l]&&--l>-1);l++,a[l]=s,o[l]=c,o[l+1]=A}for(let s=0,l=0;s<n;s++){for(;o[l+1]<s;)l++;const n=a[l],c=s-n;t[e+s*r]=i[n]+c*c}}class E{constructor(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}}setURL(t){this.url=t}getGlyphs(t){return e._(this,void 0,void 0,(function*(){const e=[];for(const r in t)for(const n of t[r])e.push(this._getAndCacheGlyphsPromise(r,n));const r=yield Promise.all(e),n={};for(const{stack:t,id:e,glyph:i}of r)n[t]||(n[t]={}),n[t][e]=i&&{id:i.id,bitmap:i.bitmap.clone(),metrics:i.metrics};return n}))}_getAndCacheGlyphsPromise(t,r){return e._(this,void 0,void 0,(function*(){let e=this.entries[t];e||(e=this.entries[t]={glyphs:{},requests:{},ranges:{}});let n=e.glyphs[r];if(void 0!==n)return{stack:t,id:r,glyph:n};if(n=this._tinySDF(e,t,r),n)return e.glyphs[r]=n,{stack:t,id:r,glyph:n};const i=Math.floor(r/256);if(256*i>65535)throw new Error(\"glyphs > 65535 not supported\");if(e.ranges[i])return{stack:t,id:r,glyph:n};if(!this.url)throw new Error(\"glyphsUrl is not set\");if(!e.requests[i]){const r=E.loadGlyphRange(t,i,this.url,this.requestManager);e.requests[i]=r}const a=yield e.requests[i];for(const t in a)this._doesCharSupportLocalGlyph(+t)||(e.glyphs[+t]=a[+t]);return e.ranges[i]=!0,{stack:t,id:r,glyph:a[r]||null}}))}_doesCharSupportLocalGlyph(t){return!!this.localIdeographFontFamily&&(e.u[\"CJK Unified Ideographs\"](t)||e.u[\"Hangul Syllables\"](t)||e.u.Hiragana(t)||e.u.Katakana(t))}_tinySDF(t,r,n){const i=this.localIdeographFontFamily;if(!i)return;if(!this._doesCharSupportLocalGlyph(n))return;let a=t.tinySDF;if(!a){let e=\"400\";/bold/i.test(r)?e=\"900\":/medium/i.test(r)?e=\"500\":/light/i.test(r)&&(e=\"200\"),a=t.tinySDF=new E.TinySDF({fontSize:48,buffer:6,radius:16,cutoff:.25,fontFamily:i,fontWeight:e})}const o=a.draw(String.fromCharCode(n));return{id:n,bitmap:new e.o({width:o.width||60,height:o.height||60},o.data),metrics:{width:o.glyphWidth/2||24,height:o.glyphHeight/2||24,left:o.glyphLeft/2+.5||0,top:o.glyphTop/2-27.5||-8,advance:o.glyphAdvance/2||24,isDoubleResolution:!0}}}}E.loadGlyphRange=function(t,r,n,i){return e._(this,void 0,void 0,(function*(){const a=256*r,o=a+255,s=i.transformRequest(n.replace(\"{fontstack}\",t).replace(\"{range}\",`${a}-${o}`),\"Glyphs\"),l=yield e.l(s,new AbortController);if(!l||!l.data)throw new Error(`Could not load glyph range. range: ${r}, ${a}-${o}`);const c={};for(const t of e.n(l.data))c[t.id]=t;return c}))},E.TinySDF=class{constructor({fontSize:t=24,buffer:e=3,radius:r=8,cutoff:n=.25,fontFamily:i=\"sans-serif\",fontWeight:a=\"normal\",fontStyle:o=\"normal\"}={}){this.buffer=e,this.cutoff=n,this.radius=r;const s=this.size=t+4*e,l=this._createCanvas(s),c=this.ctx=l.getContext(\"2d\",{willReadFrequently:!0});c.font=`${o} ${a} ${t}px ${i}`,c.textBaseline=\"alphabetic\",c.textAlign=\"left\",c.fillStyle=\"black\",this.gridOuter=new Float64Array(s*s),this.gridInner=new Float64Array(s*s),this.f=new Float64Array(s),this.z=new Float64Array(s+1),this.v=new Uint16Array(s)}_createCanvas(t){const e=document.createElement(\"canvas\");return e.width=e.height=t,e}draw(t){const{width:e,actualBoundingBoxAscent:r,actualBoundingBoxDescent:n,actualBoundingBoxLeft:i,actualBoundingBoxRight:a}=this.ctx.measureText(t),o=Math.ceil(r),s=Math.max(0,Math.min(this.size-this.buffer,Math.ceil(a-i))),l=Math.min(this.size-this.buffer,o+Math.ceil(n)),c=s+2*this.buffer,u=l+2*this.buffer,h=Math.max(c*u,0),f=new Uint8ClampedArray(h),p={data:f,width:c,height:u,glyphWidth:s,glyphHeight:l,glyphTop:o,glyphLeft:0,glyphAdvance:e};if(0===s||0===l)return p;const{ctx:d,buffer:m,gridInner:g,gridOuter:y}=this;d.clearRect(m,m,s,l),d.fillText(t,m,m+o);const v=d.getImageData(m,m,s,l);y.fill(A,0,h),g.fill(0,0,h);for(let t=0;t<l;t++)for(let e=0;e<s;e++){const r=v.data[4*(t*s+e)+3]/255;if(0===r)continue;const n=(t+m)*c+e+m;if(1===r)y[n]=0,g[n]=A;else{const t=.5-r;y[n]=t>0?t*t:0,g[n]=t<0?t*t:0}}M(y,0,0,c,u,c,this.f,this.v,this.z),M(g,m,m,s,l,c,this.f,this.v,this.z);for(let t=0;t<h;t++){const e=Math.sqrt(y[t])-Math.sqrt(g[t]);f[t]=Math.round(255-255*(e/this.radius+this.cutoff))}return p}};class C{constructor(){this.specification=e.v.light.position}possiblyEvaluate(t,r){return e.y(t.expression.evaluate(r))}interpolate(t,r,n){return{x:e.z.number(t.x,r.x,n),y:e.z.number(t.y,r.y,n),z:e.z.number(t.z,r.z,n)}}}const L=\"-transition\";let I;class P extends e.E{constructor(t){super(),I=I||new e.q({anchor:new e.D(e.v.light.anchor),position:new C,color:new e.D(e.v.light.color),intensity:new e.D(e.v.light.intensity)}),this._transitionable=new e.T(I),this.setLight(t),this._transitioning=this._transitionable.untransitioned()}getLight(){return this._transitionable.serialize()}setLight(t,r={}){if(!this._validate(e.r,t,r))for(const e in t){const r=t[e];e.endsWith(L)?this._transitionable.setTransition(e.slice(0,-11),r):this._transitionable.setValue(e,r)}}updateTransitions(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)}hasTransition(){return this._transitioning.hasTransition()}recalculate(t){this.properties=this._transitioning.possiblyEvaluate(t)}_validate(t,r,n){return(!n||!1!==n.validate)&&e.t(this,t.call(e.x,{value:r,style:{glyphs:!0,sprite:!0},styleSpec:e.v}))}}const z=new e.q({\"sky-color\":new e.D(e.v.sky[\"sky-color\"]),\"horizon-color\":new e.D(e.v.sky[\"horizon-color\"]),\"fog-color\":new e.D(e.v.sky[\"fog-color\"]),\"fog-ground-blend\":new e.D(e.v.sky[\"fog-ground-blend\"]),\"horizon-fog-blend\":new e.D(e.v.sky[\"horizon-fog-blend\"]),\"sky-horizon-blend\":new e.D(e.v.sky[\"sky-horizon-blend\"]),\"atmosphere-blend\":new e.D(e.v.sky[\"atmosphere-blend\"])}),O=\"-transition\";class D extends e.E{constructor(t){super(),this._transitionable=new e.T(z),this.setSky(t),this._transitioning=this._transitionable.untransitioned()}setSky(t,r={}){if(!this._validate(e.B,t,r))for(const e in t){const r=t[e];e.endsWith(O)?this._transitionable.setTransition(e.slice(0,-11),r):this._transitionable.setValue(e,r)}}getSky(){return this._transitionable.serialize()}updateTransitions(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)}hasTransition(){return this._transitioning.hasTransition()}recalculate(t){this.properties=this._transitioning.possiblyEvaluate(t)}_validate(t,r,n={}){return!1!==(null==n?void 0:n.validate)&&e.t(this,t.call(e.x,e.e({value:r,style:{glyphs:!0,sprite:!0},styleSpec:e.v})))}calculateFogBlendOpacity(t){return t<60?0:t<70?(t-60)/10:1}}class R{constructor(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}}getDash(t,e){const r=t.join(\",\")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]}getDashRanges(t,e,r){const n=[];let i=t.length%2==1?-t[t.length-1]*r:0,a=t[0]*r,o=!0;n.push({left:i,right:a,isDash:o,zeroLength:0===t[0]});let s=t[0];for(let e=1;e<t.length;e++){o=!o;const l=t[e];i=s*r,s+=l,a=s*r,n.push({left:i,right:a,isDash:o,zeroLength:0===l})}return n}addRoundDash(t,e,r){const n=e/2;for(let e=-r;e<=r;e++){const i=this.nextRow+r+e,a=this.width*i;let o=0,s=t[o];for(let i=0;i<this.width;i++){i/s.right>1&&(s=t[++o]);const l=Math.abs(i-s.left),c=Math.abs(i-s.right),u=Math.min(l,c);let h;const f=e/r*(n+1);if(s.isDash){const t=n-Math.abs(f);h=Math.sqrt(u*u+t*t)}else h=n-Math.sqrt(u*u+f*f);this.data[a+i]=Math.max(0,Math.min(255,h+128))}}}addRegularDash(t){for(let e=t.length-1;e>=0;--e){const r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}const e=t[0],r=t[t.length-1];e.isDash===r.isDash&&(e.left=r.left-this.width,r.right=e.right+this.width);const n=this.width*this.nextRow;let i=0,a=t[i];for(let e=0;e<this.width;e++){e/a.right>1&&(a=t[++i]);const r=Math.abs(e-a.left),o=Math.abs(e-a.right),s=Math.min(r,o),l=a.isDash?s:-s;this.data[n+e]=Math.max(0,Math.min(255,l+128))}}addDash(t,r){const n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return e.w(\"LineAtlas out of space\"),null;let a=0;for(let e=0;e<t.length;e++)a+=t[e];if(0!==a){const e=this.width/a,i=this.getDashRanges(t,this.width,e);r?this.addRoundDash(i,e,n):this.addRegularDash(i)}const o={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,o}bind(t){const e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))}}const F=\"maplibre_preloaded_worker_pool\";class B{constructor(){this.active={}}acquire(t){if(!this.workers)for(this.workers=[];this.workers.length<B.workerCount;)this.workers.push(new Worker(e.a.WORKER_URL));return this.active[t]=!0,this.workers.slice()}release(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((t=>{t.terminate()})),this.workers=null)}isPreloaded(){return!!this.active[F]}numActive(){return Object.keys(this.active).length}}const N=Math.floor(a.hardwareConcurrency/2);let j,U;function V(){return j||(j=new B),j}B.workerCount=e.C(globalThis)?Math.max(Math.min(N,3),1):1;class q{constructor(t,r){this.workerPool=t,this.actors=[],this.currentActor=0,this.id=r;const n=this.workerPool.acquire(r);for(let t=0;t<n.length;t++){const i=n[t],a=new e.F(i,r);a.name=`Worker ${t}`,this.actors.push(a)}if(!this.actors.length)throw new Error(\"No actors found\")}broadcast(t,e){const r=[];for(const n of this.actors)r.push(n.sendAsync({type:t,data:e}));return Promise.all(r)}getActor(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]}remove(t=!0){this.actors.forEach((t=>{t.remove()})),this.actors=[],t&&this.workerPool.release(this.id)}registerMessageHandler(t,e){for(const r of this.actors)r.registerMessageHandler(t,e)}}function H(){return U||(U=new q(V(),e.G),U.registerMessageHandler(\"GR\",((t,r,n)=>e.m(r,n)))),U}function G(t,r){const n=e.H();return e.J(n,n,[1,1,0]),e.K(n,n,[.5*t.width,.5*t.height,1]),e.L(n,n,t.calculatePosMatrix(r.toUnwrapped()))}function Z(t,e,r,n,i,a){const o=function(t,e,r){if(t)for(const n of t){const t=e[n];if(t&&t.source===r&&\"fill-extrusion\"===t.type)return!0}else for(const t in e){const n=e[t];if(n.source===r&&\"fill-extrusion\"===n.type)return!0}return!1}(i&&i.layers,e,t.id),s=a.maxPitchScaleFactor(),l=t.tilesIn(n,s,o);l.sort(W);const c=[];for(const n of l)c.push({wrappedTileID:n.tileID.wrapped().key,queryResults:n.tile.queryRenderedFeatures(e,r,t._state,n.queryGeometry,n.cameraQueryGeometry,n.scale,i,a,s,G(t.transform,n.tileID))});const u=function(t){const e={},r={};for(const n of t){const t=n.queryResults,i=n.wrappedTileID,a=r[i]=r[i]||{};for(const r in t){const n=t[r],i=a[r]=a[r]||{},o=e[r]=e[r]||[];for(const t of n)i[t.featureIndex]||(i[t.featureIndex]=!0,o.push(t))}}return e}(c);for(const e in u)u[e].forEach((e=>{const r=e.feature,n=t.getFeatureState(r.layer[\"source-layer\"],r.id);r.source=r.layer.source,r.layer[\"source-layer\"]&&(r.sourceLayer=r.layer[\"source-layer\"]),r.state=n}));return u}function W(t,e){const r=t.tileID,n=e.tileID;return r.overscaledZ-n.overscaledZ||r.canonical.y-n.canonical.y||r.wrap-n.wrap||r.canonical.x-n.canonical.x}function Y(t,r,n){return e._(this,void 0,void 0,(function*(){let i=t;if(t.url?i=(yield e.h(r.transformRequest(t.url,\"Source\"),n)).data:yield a.frameAsync(n),!i)return null;const o=e.M(e.e(i,t),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);return\"vector_layers\"in i&&i.vector_layers&&(o.vectorLayerIds=i.vector_layers.map((t=>t.id))),o}))}class X{constructor(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):Array.isArray(t)&&(4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1])))}setNorthEast(t){return this._ne=t instanceof e.N?new e.N(t.lng,t.lat):e.N.convert(t),this}setSouthWest(t){return this._sw=t instanceof e.N?new e.N(t.lng,t.lat):e.N.convert(t),this}extend(t){const r=this._sw,n=this._ne;let i,a;if(t instanceof e.N)i=t,a=t;else{if(!(t instanceof X)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){const e=t;return this.extend(X.convert(e))}{const r=t;return this.extend(e.N.convert(r))}}return t&&(\"lng\"in t||\"lon\"in t)&&\"lat\"in t?this.extend(e.N.convert(t)):this}if(i=t._sw,a=t._ne,!i||!a)return this}return r||n?(r.lng=Math.min(i.lng,r.lng),r.lat=Math.min(i.lat,r.lat),n.lng=Math.max(a.lng,n.lng),n.lat=Math.max(a.lat,n.lat)):(this._sw=new e.N(i.lng,i.lat),this._ne=new e.N(a.lng,a.lat)),this}getCenter(){return new e.N((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)}getSouthWest(){return this._sw}getNorthEast(){return this._ne}getNorthWest(){return new e.N(this.getWest(),this.getNorth())}getSouthEast(){return new e.N(this.getEast(),this.getSouth())}getWest(){return this._sw.lng}getSouth(){return this._sw.lat}getEast(){return this._ne.lng}getNorth(){return this._ne.lat}toArray(){return[this._sw.toArray(),this._ne.toArray()]}toString(){return`LngLatBounds(${this._sw.toString()}, ${this._ne.toString()})`}isEmpty(){return!(this._sw&&this._ne)}contains(t){const{lng:r,lat:n}=e.N.convert(t),i=this._sw.lat<=n&&n<=this._ne.lat;let a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a}static convert(t){return t instanceof X?t:t?new X(t):t}static fromLngLat(t,r=0){const n=360*r/40075017,i=n/Math.cos(Math.PI/180*t.lat);return new X(new e.N(t.lng-i,t.lat-n),new e.N(t.lng+i,t.lat+n))}}class ${constructor(t,e,r){this.bounds=X.convert(this.validateBounds(t)),this.minzoom=e||0,this.maxzoom=r||24}validateBounds(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]}contains(t){const r=Math.pow(2,t.z),n=Math.floor(e.O(this.bounds.getWest())*r),i=Math.floor(e.Q(this.bounds.getNorth())*r),a=Math.ceil(e.O(this.bounds.getEast())*r),o=Math.ceil(e.Q(this.bounds.getSouth())*r);return t.x>=n&&t.x<a&&t.y>=i&&t.y<o}}class J extends e.E{constructor(t,r,n,i){if(super(),this.id=t,this.dispatcher=n,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,e.e(this,e.M(r,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=e.e({type:\"vector\"},r),this._collectResourceTiming=r.collectResourceTiming,512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(i)}load(){return e._(this,void 0,void 0,(function*(){this._loaded=!1,this.fire(new e.k(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=new AbortController;try{const t=yield Y(this._options,this.map._requestManager,this._tileJSONRequest);this._tileJSONRequest=null,this._loaded=!0,this.map.style.sourceCaches[this.id].clearTiles(),t&&(e.e(this,t),t.bounds&&(this.tileBounds=new $(t.bounds,this.minzoom,this.maxzoom)),this.fire(new e.k(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),this.fire(new e.k(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}catch(t){this._tileJSONRequest=null,this.fire(new e.j(t))}}))}loaded(){return this._loaded}hasTile(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)}onAdd(t){this.map=t,this.load()}setSourceProperty(t){this._tileJSONRequest&&this._tileJSONRequest.abort(),t(),this.load()}setTiles(t){return this.setSourceProperty((()=>{this._options.tiles=t})),this}setUrl(t){return this.setSourceProperty((()=>{this.url=t,this._options.url=t})),this}onRemove(){this._tileJSONRequest&&(this._tileJSONRequest.abort(),this._tileJSONRequest=null)}serialize(){return e.e({},this._options)}loadTile(t){return e._(this,void 0,void 0,(function*(){const e=t.tileID.canonical.url(this.tiles,this.map.getPixelRatio(),this.scheme),r={request:this.map._requestManager.transformRequest(e,\"Tile\"),uid:t.uid,tileID:t.tileID,zoom:t.tileID.overscaledZ,tileSize:this.tileSize*t.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:this.map.getPixelRatio(),showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};r.request.collectResourceTiming=this._collectResourceTiming;let n=\"RT\";if(t.actor&&\"expired\"!==t.state){if(\"loading\"===t.state)return new Promise(((e,r)=>{t.reloadPromise={resolve:e,reject:r}}))}else t.actor=this.dispatcher.getActor(),n=\"LT\";t.abortController=new AbortController;try{const e=yield t.actor.sendAsync({type:n,data:r},t.abortController);if(delete t.abortController,t.aborted)return;this._afterTileLoadWorkerResponse(t,e)}catch(e){if(delete t.abortController,t.aborted)return;if(e&&404!==e.status)throw e;this._afterTileLoadWorkerResponse(t,null)}}))}_afterTileLoadWorkerResponse(t,e){if(e&&e.resourceTiming&&(t.resourceTiming=e.resourceTiming),e&&this.map._refreshExpiredTiles&&t.setExpiryData(e),t.loadVectorData(e,this.map.painter),t.reloadPromise){const e=t.reloadPromise;t.reloadPromise=null,this.loadTile(t).then(e.resolve).catch(e.reject)}}abortTile(t){return e._(this,void 0,void 0,(function*(){t.abortController&&(t.abortController.abort(),delete t.abortController),t.actor&&(yield t.actor.sendAsync({type:\"AT\",data:{uid:t.uid,type:this.type,source:this.id}}))}))}unloadTile(t){return e._(this,void 0,void 0,(function*(){t.unloadVectorData(),t.actor&&(yield t.actor.sendAsync({type:\"RMT\",data:{uid:t.uid,type:this.type,source:this.id}}))}))}hasTransition(){return!1}}class K extends e.E{constructor(t,r,n,i){super(),this.id=t,this.dispatcher=n,this.setEventedParent(i),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=e.e({type:\"raster\"},r),e.e(this,e.M(r,[\"url\",\"scheme\",\"tileSize\"]))}load(){return e._(this,void 0,void 0,(function*(){this._loaded=!1,this.fire(new e.k(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=new AbortController;try{const t=yield Y(this._options,this.map._requestManager,this._tileJSONRequest);this._tileJSONRequest=null,this._loaded=!0,t&&(e.e(this,t),t.bounds&&(this.tileBounds=new $(t.bounds,this.minzoom,this.maxzoom)),this.fire(new e.k(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),this.fire(new e.k(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}catch(t){this._tileJSONRequest=null,this.fire(new e.j(t))}}))}loaded(){return this._loaded}onAdd(t){this.map=t,this.load()}onRemove(){this._tileJSONRequest&&(this._tileJSONRequest.abort(),this._tileJSONRequest=null)}setSourceProperty(t){this._tileJSONRequest&&(this._tileJSONRequest.abort(),this._tileJSONRequest=null),t(),this.load()}setTiles(t){return this.setSourceProperty((()=>{this._options.tiles=t})),this}setUrl(t){return this.setSourceProperty((()=>{this.url=t,this._options.url=t})),this}serialize(){return e.e({},this._options)}hasTile(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)}loadTile(t){return e._(this,void 0,void 0,(function*(){const e=t.tileID.canonical.url(this.tiles,this.map.getPixelRatio(),this.scheme);t.abortController=new AbortController;try{const r=yield p.getImage(this.map._requestManager.transformRequest(e,\"Tile\"),t.abortController,this.map._refreshExpiredTiles);if(delete t.abortController,t.aborted)return void(t.state=\"unloaded\");if(r&&r.data){this.map._refreshExpiredTiles&&r.cacheControl&&r.expires&&t.setExpiryData({cacheControl:r.cacheControl,expires:r.expires});const e=this.map.painter.context,n=e.gl,i=r.data;t.texture=this.map.painter.getTileTexture(i.width),t.texture?t.texture.update(i,{useMipmap:!0}):(t.texture=new w(e,i,n.RGBA,{useMipmap:!0}),t.texture.bind(n.LINEAR,n.CLAMP_TO_EDGE,n.LINEAR_MIPMAP_NEAREST)),t.state=\"loaded\"}}catch(e){if(delete t.abortController,t.aborted)t.state=\"unloaded\";else if(e)throw t.state=\"errored\",e}}))}abortTile(t){return e._(this,void 0,void 0,(function*(){t.abortController&&(t.abortController.abort(),delete t.abortController)}))}unloadTile(t){return e._(this,void 0,void 0,(function*(){t.texture&&this.map.painter.saveTileTexture(t.texture)}))}hasTransition(){return!1}}class Q extends K{constructor(t,r,n,i){super(t,r,n,i),this.type=\"raster-dem\",this.maxzoom=22,this._options=e.e({type:\"raster-dem\"},r),this.encoding=r.encoding||\"mapbox\",this.redFactor=r.redFactor,this.greenFactor=r.greenFactor,this.blueFactor=r.blueFactor,this.baseShift=r.baseShift}loadTile(t){return e._(this,void 0,void 0,(function*(){const r=t.tileID.canonical.url(this.tiles,this.map.getPixelRatio(),this.scheme),n=this.map._requestManager.transformRequest(r,\"Tile\");t.neighboringTiles=this._getNeighboringTiles(t.tileID),t.abortController=new AbortController;try{const r=yield p.getImage(n,t.abortController,this.map._refreshExpiredTiles);if(delete t.abortController,t.aborted)return void(t.state=\"unloaded\");if(r&&r.data){const n=r.data;this.map._refreshExpiredTiles&&r.cacheControl&&r.expires&&t.setExpiryData({cacheControl:r.cacheControl,expires:r.expires});const i=e.b(n)&&e.U()?n:yield this.readImageNow(n),a={type:this.type,uid:t.uid,source:this.id,rawImageData:i,encoding:this.encoding,redFactor:this.redFactor,greenFactor:this.greenFactor,blueFactor:this.blueFactor,baseShift:this.baseShift};if(!t.actor||\"expired\"===t.state){t.actor=this.dispatcher.getActor();const e=yield t.actor.sendAsync({type:\"LDT\",data:a});t.dem=e,t.needsHillshadePrepare=!0,t.needsTerrainPrepare=!0,t.state=\"loaded\"}}}catch(e){if(delete t.abortController,t.aborted)t.state=\"unloaded\";else if(e)throw t.state=\"errored\",e}}))}readImageNow(t){return e._(this,void 0,void 0,(function*(){if(\"undefined\"!=typeof VideoFrame&&e.V()){const r=t.width+2,n=t.height+2;try{return new e.R({width:r,height:n},yield e.W(t,-1,-1,r,n))}catch(t){}}return a.getImageData(t,1)}))}_getNeighboringTiles(t){const r=t.canonical,n=Math.pow(2,r.z),i=(r.x-1+n)%n,a=0===r.x?t.wrap-1:t.wrap,o=(r.x+1+n)%n,s=r.x+1===n?t.wrap+1:t.wrap,l={};return l[new e.S(t.overscaledZ,a,r.z,i,r.y).key]={backfilled:!1},l[new e.S(t.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new e.S(t.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new e.S(t.overscaledZ,t.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new e.S(t.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new e.S(t.overscaledZ,a,r.z,i,r.y+1).key]={backfilled:!1},l[new e.S(t.overscaledZ,t.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new e.S(t.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l}unloadTile(t){return e._(this,void 0,void 0,(function*(){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state=\"unloaded\",t.actor&&(yield t.actor.sendAsync({type:\"RDT\",data:{type:this.type,uid:t.uid,source:this.id}}))}))}}class tt extends e.E{constructor(t,r,n,i){super(),this.id=t,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._pendingLoads=0,this.actor=n.getActor(),this.setEventedParent(i),this._data=r.data,this._options=e.e({},r),this._collectResourceTiming=r.collectResourceTiming,void 0!==r.maxzoom&&(this.maxzoom=r.maxzoom),r.type&&(this.type=r.type),r.attribution&&(this.attribution=r.attribution),this.promoteId=r.promoteId;const a=e.X/this.tileSize;this.workerOptions=e.e({source:this.id,cluster:r.cluster||!1,geojsonVtOptions:{buffer:(void 0!==r.buffer?r.buffer:128)*a,tolerance:(void 0!==r.tolerance?r.tolerance:.375)*a,extent:e.X,maxZoom:this.maxzoom,lineMetrics:r.lineMetrics||!1,generateId:r.generateId||!1},superclusterOptions:{maxZoom:void 0!==r.clusterMaxZoom?r.clusterMaxZoom:this.maxzoom-1,minPoints:Math.max(2,r.clusterMinPoints||2),extent:e.X,radius:(r.clusterRadius||50)*a,log:!1,generateId:r.generateId||!1},clusterProperties:r.clusterProperties,filter:r.filter},r.workerOptions),\"string\"==typeof this.promoteId&&(this.workerOptions.promoteId=this.promoteId)}load(){return e._(this,void 0,void 0,(function*(){yield this._updateWorkerData()}))}onAdd(t){this.map=t,this.load()}setData(t){return this._data=t,this._updateWorkerData(),this}updateData(t){return this._updateWorkerData(t),this}getData(){return e._(this,void 0,void 0,(function*(){const t=e.e({type:this.type},this.workerOptions);return this.actor.sendAsync({type:\"GD\",data:t})}))}setClusterOptions(t){return this.workerOptions.cluster=t.cluster,t&&(void 0!==t.clusterRadius&&(this.workerOptions.superclusterOptions.radius=t.clusterRadius),void 0!==t.clusterMaxZoom&&(this.workerOptions.superclusterOptions.maxZoom=t.clusterMaxZoom)),this._updateWorkerData(),this}getClusterExpansionZoom(t){return this.actor.sendAsync({type:\"GCEZ\",data:{type:this.type,clusterId:t,source:this.id}})}getClusterChildren(t){return this.actor.sendAsync({type:\"GCC\",data:{type:this.type,clusterId:t,source:this.id}})}getClusterLeaves(t,e,r){return this.actor.sendAsync({type:\"GCL\",data:{type:this.type,source:this.id,clusterId:t,limit:e,offset:r}})}_updateWorkerData(t){return e._(this,void 0,void 0,(function*(){const r=e.e({type:this.type},this.workerOptions);t?r.dataDiff=t:\"string\"==typeof this._data?(r.request=this.map._requestManager.transformRequest(a.resolveURL(this._data),\"Source\"),r.request.collectResourceTiming=this._collectResourceTiming):r.data=JSON.stringify(this._data),this._pendingLoads++,this.fire(new e.k(\"dataloading\",{dataType:\"source\"}));try{const t=yield this.actor.sendAsync({type:\"LD\",data:r});if(this._pendingLoads--,this._removed||t.abandoned)return void this.fire(new e.k(\"dataabort\",{dataType:\"source\"}));let n=null;t.resourceTiming&&t.resourceTiming[this.id]&&(n=t.resourceTiming[this.id].slice(0));const i={dataType:\"source\"};this._collectResourceTiming&&n&&n.length>0&&e.e(i,{resourceTiming:n}),this.fire(new e.k(\"data\",Object.assign(Object.assign({},i),{sourceDataType:\"metadata\"}))),this.fire(new e.k(\"data\",Object.assign(Object.assign({},i),{sourceDataType:\"content\"})))}catch(t){if(this._pendingLoads--,this._removed)return void this.fire(new e.k(\"dataabort\",{dataType:\"source\"}));this.fire(new e.j(t))}}))}loaded(){return 0===this._pendingLoads}loadTile(t){return e._(this,void 0,void 0,(function*(){const e=t.actor?\"RT\":\"LT\";t.actor=this.actor;const r={type:this.type,uid:t.uid,tileID:t.tileID,zoom:t.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:this.map.getPixelRatio(),showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};t.abortController=new AbortController;const n=yield this.actor.sendAsync({type:e,data:r},t.abortController);delete t.abortController,t.unloadVectorData(),t.aborted||t.loadVectorData(n,this.map.painter,\"RT\"===e)}))}abortTile(t){return e._(this,void 0,void 0,(function*(){t.abortController&&(t.abortController.abort(),delete t.abortController),t.aborted=!0}))}unloadTile(t){return e._(this,void 0,void 0,(function*(){t.unloadVectorData(),yield this.actor.sendAsync({type:\"RMT\",data:{uid:t.uid,type:this.type,source:this.id}})}))}onRemove(){this._removed=!0,this.actor.sendAsync({type:\"RS\",data:{type:this.type,source:this.id}})}serialize(){return e.e({},this._options,{type:this.type,data:this._data})}hasTransition(){return!1}}var et=e.Y([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]);class rt extends e.E{constructor(t,e,r,n){super(),this.id=t,this.dispatcher=r,this.coordinates=e.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(n),this.options=e}load(t){return e._(this,void 0,void 0,(function*(){this._loaded=!1,this.fire(new e.k(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,this._request=new AbortController;try{const e=yield p.getImage(this.map._requestManager.transformRequest(this.url,\"Image\"),this._request);this._request=null,this._loaded=!0,e&&e.data&&(this.image=e.data,t&&(this.coordinates=t),this._finishLoading())}catch(t){this._request=null,this._loaded=!0,this.fire(new e.j(t))}}))}loaded(){return this._loaded}updateImage(t){return t.url?(this._request&&(this._request.abort(),this._request=null),this.options.url=t.url,this.load(t.coordinates).finally((()=>{this.texture=null})),this):this}_finishLoading(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new e.k(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))}onAdd(t){this.map=t,this.load()}onRemove(){this._request&&(this._request.abort(),this._request=null)}setCoordinates(t){this.coordinates=t;const r=t.map(e.Z.fromLngLat);this.tileID=function(t){let r=1/0,n=1/0,i=-1/0,a=-1/0;for(const e of t)r=Math.min(r,e.x),n=Math.min(n,e.y),i=Math.max(i,e.x),a=Math.max(a,e.y);const o=i-r,s=a-n,l=Math.max(o,s),c=Math.max(0,Math.floor(-Math.log(l)/Math.LN2)),u=Math.pow(2,c);return new e.a1(c,Math.floor((r+i)/2*u),Math.floor((n+a)/2*u))}(r),this.minzoom=this.maxzoom=this.tileID.z;const n=r.map((t=>this.tileID.getTilePoint(t)._round()));return this._boundsArray=new e.$,this._boundsArray.emplaceBack(n[0].x,n[0].y,0,0),this._boundsArray.emplaceBack(n[1].x,n[1].y,e.X,0),this._boundsArray.emplaceBack(n[3].x,n[3].y,0,e.X),this._boundsArray.emplaceBack(n[2].x,n[2].y,e.X,e.X),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new e.k(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this}prepare(){if(0===Object.keys(this.tiles).length||!this.image)return;const t=this.map.painter.context,r=t.gl;this.boundsBuffer||(this.boundsBuffer=t.createVertexBuffer(this._boundsArray,et.members)),this.boundsSegments||(this.boundsSegments=e.a0.simpleSegment(0,0,4,2)),this.texture||(this.texture=new w(t,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE));let n=!1;for(const t in this.tiles){const e=this.tiles[t];\"loaded\"!==e.state&&(e.state=\"loaded\",e.texture=this.texture,n=!0)}n&&this.fire(new e.k(\"data\",{dataType:\"source\",sourceDataType:\"idle\",sourceId:this.id}))}loadTile(t){return e._(this,void 0,void 0,(function*(){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={}):t.state=\"errored\"}))}serialize(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}}hasTransition(){return!1}}class nt extends rt{constructor(t,e,r,n){super(t,e,r,n),this.roundZoom=!0,this.type=\"video\",this.options=e}load(){return e._(this,void 0,void 0,(function*(){this._loaded=!1;const t=this.options;this.urls=[];for(const e of t.urls)this.urls.push(this.map._requestManager.transformRequest(e,\"Source\").url);try{const t=yield e.a3(this.urls);if(this._loaded=!0,!t)return;this.video=t,this.video.loop=!0,this.video.addEventListener(\"playing\",(()=>{this.map.triggerRepaint()})),this.map&&this.video.play(),this._finishLoading()}catch(t){this.fire(new e.j(t))}}))}pause(){this.video&&this.video.pause()}play(){this.video&&this.video.play()}seek(t){if(this.video){const r=this.video.seekable;t<r.start(0)||t>r.end(0)?this.fire(new e.j(new e.a2(`sources.${this.id}`,null,`Playback for this video can be set only between the ${r.start(0)} and ${r.end(0)}-second mark.`))):this.video.currentTime=t}}getVideo(){return this.video}onAdd(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))}prepare(){if(0===Object.keys(this.tiles).length||this.video.readyState<2)return;const t=this.map.painter.context,r=t.gl;this.boundsBuffer||(this.boundsBuffer=t.createVertexBuffer(this._boundsArray,et.members)),this.boundsSegments||(this.boundsSegments=e.a0.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new w(t,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE));let n=!1;for(const t in this.tiles){const e=this.tiles[t];\"loaded\"!==e.state&&(e.state=\"loaded\",e.texture=this.texture,n=!0)}n&&this.fire(new e.k(\"data\",{dataType:\"source\",sourceDataType:\"idle\",sourceId:this.id}))}serialize(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}}hasTransition(){return this.video&&!this.video.paused}}class it extends rt{constructor(t,r,n,i){super(t,r,n,i),r.coordinates?Array.isArray(r.coordinates)&&4===r.coordinates.length&&!r.coordinates.some((t=>!Array.isArray(t)||2!==t.length||t.some((t=>\"number\"!=typeof t))))||this.fire(new e.j(new e.a2(`sources.${t}`,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new e.j(new e.a2(`sources.${t}`,null,'missing required property \"coordinates\"'))),r.animate&&\"boolean\"!=typeof r.animate&&this.fire(new e.j(new e.a2(`sources.${t}`,null,'optional \"animate\" property must be a boolean value'))),r.canvas?\"string\"==typeof r.canvas||r.canvas instanceof HTMLCanvasElement||this.fire(new e.j(new e.a2(`sources.${t}`,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new e.j(new e.a2(`sources.${t}`,null,'missing required property \"canvas\"'))),this.options=r,this.animate=void 0===r.animate||r.animate}load(){return e._(this,void 0,void 0,(function*(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof HTMLCanvasElement?this.options.canvas:document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new e.j(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())}))}getCanvas(){return this.canvas}onAdd(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()}onRemove(){this.pause()}prepare(){let t=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,t=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,t=!0),this._hasInvalidDimensions())return;if(0===Object.keys(this.tiles).length)return;const r=this.map.painter.context,n=r.gl;this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,et.members)),this.boundsSegments||(this.boundsSegments=e.a0.simpleSegment(0,0,4,2)),this.texture?(t||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new w(r,this.canvas,n.RGBA,{premultiply:!0});let i=!1;for(const t in this.tiles){const e=this.tiles[t];\"loaded\"!==e.state&&(e.state=\"loaded\",e.texture=this.texture,i=!0)}i&&this.fire(new e.k(\"data\",{dataType:\"source\",sourceDataType:\"idle\",sourceId:this.id}))}serialize(){return{type:\"canvas\",coordinates:this.coordinates}}hasTransition(){return this._playing}_hasInvalidDimensions(){for(const t of[this.canvas.width,this.canvas.height])if(isNaN(t)||t<=0)return!0;return!1}}const at={},ot=t=>{switch(t){case\"geojson\":return tt;case\"image\":return rt;case\"raster\":return K;case\"raster-dem\":return Q;case\"vector\":return J;case\"video\":return nt;case\"canvas\":return it}return at[t]};const st=\"RTLPluginLoaded\";class lt extends e.E{constructor(){super(...arguments),this.status=\"unavailable\",this.url=null,this.dispatcher=H()}_syncState(t){return this.status=t,this.dispatcher.broadcast(\"SRPS\",{pluginStatus:t,pluginURL:this.url}).catch((t=>{throw this.status=\"error\",t}))}getRTLTextPluginStatus(){return this.status}clearRTLTextPlugin(){this.status=\"unavailable\",this.url=null}setRTLTextPlugin(t){return e._(this,arguments,void 0,(function*(t,e=!1){if(this.url)throw new Error(\"setRTLTextPlugin cannot be called multiple times.\");if(this.url=a.resolveURL(t),!this.url)throw new Error(`requested url ${t} is invalid`);if(\"unavailable\"===this.status){if(!e)return this._requestImport();this.status=\"deferred\",this._syncState(this.status)}else if(\"requested\"===this.status)return this._requestImport()}))}_requestImport(){return e._(this,void 0,void 0,(function*(){yield this._syncState(\"loading\"),this.status=\"loaded\",this.fire(new e.k(st))}))}lazyLoad(){\"unavailable\"===this.status?this.status=\"requested\":\"deferred\"===this.status&&this._requestImport()}}let ct=null;function ut(){return ct||(ct=new lt),ct}class ht{constructor(t,r){this.timeAdded=0,this.fadeEndTime=0,this.tileID=t,this.uid=e.a4(),this.uses=0,this.tileSize=r,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.rtt=[],this.rttCoords={},this.expiredRequestCount=0,this.state=\"loading\"}registerFadeDuration(t){const e=t+this.timeAdded;e<this.fadeEndTime||(this.fadeEndTime=e)}wasRequested(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state}clearTextures(t){this.demTexture&&t.saveTileTexture(this.demTexture),this.demTexture=null}loadVectorData(t,r,n){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",t){t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){const r={};if(!e)return r;for(const n of t){const t=n.layerIds.map((t=>e.getLayer(t))).filter(Boolean);if(0!==t.length){n.layers=t,n.stateDependentLayerIds&&(n.stateDependentLayers=n.stateDependentLayerIds.map((e=>t.filter((t=>t.id===e))[0])));for(const e of t)r[e.id]=n}}return r}(t.buckets,r.style),this.hasSymbolBuckets=!1;for(const t in this.buckets){const r=this.buckets[t];if(r instanceof e.a6){if(this.hasSymbolBuckets=!0,!n)break;r.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(const t in this.buckets){const r=this.buckets[t];if(r instanceof e.a6&&r.hasRTLText){this.hasRTLText=!0,ut().lazyLoad();break}}this.queryPadding=0;for(const t in this.buckets){const e=this.buckets[t];this.queryPadding=Math.max(this.queryPadding,r.style.getLayer(t).queryRadius(e))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new e.a5}unloadVectorData(){for(const t in this.buckets)this.buckets[t].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state=\"unloaded\"}getBucket(t){return this.buckets[t.id]}upload(t){for(const e in this.buckets){const r=this.buckets[e];r.uploadPending()&&r.upload(t)}const e=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new w(t,this.imageAtlas.image,e.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new w(t,this.glyphAtlasImage,e.ALPHA),this.glyphAtlasImage=null)}prepare(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)}queryRenderedFeatures(t,e,r,n,i,a,o,s,l,c){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:c,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}}querySourceFeatures(t,r){const n=this.latestFeatureIndex;if(!n||!n.rawTileData)return;const i=n.loadVTLayers(),a=r&&r.sourceLayer?r.sourceLayer:\"\",o=i._geojsonTileLayer||i[a];if(!o)return;const s=e.a7(r&&r.filter),{z:l,x:c,y:u}=this.tileID.canonical,h={z:l,x:c,y:u};for(let r=0;r<o.length;r++){const i=o.feature(r);if(s.needGeometry){const t=e.a8(i,!0);if(!s.filter(new e.a9(this.tileID.overscaledZ),t,this.tileID.canonical))continue}else if(!s.filter(new e.a9(this.tileID.overscaledZ),i))continue;const f=n.getId(i,a),p=new e.aa(i,l,c,u,f);p.tile=h,t.push(p)}}hasData(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state}patternsLoaded(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length}setExpiryData(t){const r=this.expirationTime;if(t.cacheControl){const r=e.ab(t.cacheControl);r[\"max-age\"]&&(this.expirationTime=Date.now()+1e3*r[\"max-age\"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){const t=Date.now();let e=!1;if(this.expirationTime>t)e=!1;else if(r)if(this.expirationTime<r)e=!0;else{const n=this.expirationTime-r;n?this.expirationTime=t+Math.max(n,3e4):e=!0}else e=!0;e?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}}getExpiryTimeout(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-(new Date).getTime(),Math.pow(2,31)-1)}setFeatureState(t,e){if(!this.latestFeatureIndex||!this.latestFeatureIndex.rawTileData||0===Object.keys(t).length)return;const r=this.latestFeatureIndex.loadVTLayers();for(const n in this.buckets){if(!e.style.hasLayer(n))continue;const i=this.buckets[n],a=i.layers[0].sourceLayer||\"_geojsonTileLayer\",o=r[a],s=t[a];if(!o||!s||0===Object.keys(s).length)continue;i.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});const l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(i)))}}holdingForFade(){return void 0!==this.symbolFadeHoldUntil}symbolFadeFinished(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<a.now()}clearFadeHold(){this.symbolFadeHoldUntil=void 0}setHoldDuration(t){this.symbolFadeHoldUntil=a.now()+t}setDependencies(t,e){const r={};for(const t of e)r[t]=!0;this.dependencies[t]=r}hasDependency(t,e){for(const r of t){const t=this.dependencies[r];if(t)for(const r of e)if(t[r])return!0}return!1}}class ft{constructor(t,e){this.max=t,this.onRemove=e,this.reset()}reset(){for(const t in this.data)for(const e of this.data[t])e.timeout&&clearTimeout(e.timeout),this.onRemove(e.value);return this.data={},this.order=[],this}add(t,e,r){const n=t.wrapped().key;void 0===this.data[n]&&(this.data[n]=[]);const i={value:e,timeout:void 0};if(void 0!==r&&(i.timeout=setTimeout((()=>{this.remove(t,i)}),r)),this.data[n].push(i),this.order.push(n),this.order.length>this.max){const t=this._getAndRemoveByKey(this.order[0]);t&&this.onRemove(t)}return this}has(t){return t.wrapped().key in this.data}getAndRemove(t){return this.has(t)?this._getAndRemoveByKey(t.wrapped().key):null}_getAndRemoveByKey(t){const e=this.data[t].shift();return e.timeout&&clearTimeout(e.timeout),0===this.data[t].length&&delete this.data[t],this.order.splice(this.order.indexOf(t),1),e.value}getByKey(t){const e=this.data[t];return e?e[0].value:null}get(t){return this.has(t)?this.data[t.wrapped().key][0].value:null}remove(t,e){if(!this.has(t))return this;const r=t.wrapped().key,n=void 0===e?0:this.data[r].indexOf(e),i=this.data[r][n];return this.data[r].splice(n,1),i.timeout&&clearTimeout(i.timeout),0===this.data[r].length&&delete this.data[r],this.onRemove(i.value),this.order.splice(this.order.indexOf(r),1),this}setMaxSize(t){for(this.max=t;this.order.length>this.max;){const t=this._getAndRemoveByKey(this.order[0]);t&&this.onRemove(t)}return this}filter(t){const e=[];for(const r in this.data)for(const n of this.data[r])t(n.value)||e.push(n);for(const t of e)this.remove(t.value.tileID,t)}}class pt{constructor(){this.state={},this.stateChanges={},this.deletedStates={}}updateState(t,r,n){const i=String(r);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][i]=this.stateChanges[t][i]||{},e.e(this.stateChanges[t][i],n),null===this.deletedStates[t]){this.deletedStates[t]={};for(const e in this.state[t])e!==i&&(this.deletedStates[t][e]=null)}else if(this.deletedStates[t]&&null===this.deletedStates[t][i]){this.deletedStates[t][i]={};for(const e in this.state[t][i])n[e]||(this.deletedStates[t][i][e]=null)}else for(const e in n)this.deletedStates[t]&&this.deletedStates[t][i]&&null===this.deletedStates[t][i][e]&&delete this.deletedStates[t][i][e]}removeFeatureState(t,e,r){if(null===this.deletedStates[t])return;const n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e)if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null;else this.deletedStates[t]=null}getState(t,r){const n=String(r),i=this.state[t]||{},a=this.stateChanges[t]||{},o=e.e({},i[n],a[n]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){const e=this.deletedStates[t][r];if(null===e)return{};for(const t in e)delete o[t]}return o}initializeTileState(t,e){t.setFeatureState(this.state,e)}coalesceChanges(t,r){const n={};for(const t in this.stateChanges){this.state[t]=this.state[t]||{};const r={};for(const n in this.stateChanges[t])this.state[t][n]||(this.state[t][n]={}),e.e(this.state[t][n],this.stateChanges[t][n]),r[n]=this.state[t][n];n[t]=r}for(const t in this.deletedStates){this.state[t]=this.state[t]||{};const r={};if(null===this.deletedStates[t])for(const e in this.state[t])r[e]={},this.state[t][e]={};else for(const e in this.deletedStates[t]){if(null===this.deletedStates[t][e])this.state[t][e]={};else for(const r of Object.keys(this.deletedStates[t][e]))delete this.state[t][e][r];r[e]=this.state[t][e]}n[t]=n[t]||{},e.e(n[t],r)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(n).length)for(const e in t)t[e].setFeatureState(n,r)}}class dt extends e.E{constructor(t,e,r){super(),this.id=t,this.dispatcher=r,this.on(\"data\",(t=>this._dataHandler(t))),this.on(\"dataloading\",(()=>{this._sourceErrored=!1})),this.on(\"error\",(()=>{this._sourceErrored=this._source.loaded()})),this._source=((t,e,r,n)=>{const i=new(ot(e.type))(t,e,r,n);if(i.id!==t)throw new Error(`Expected Source id to be ${t} instead of ${i.id}`);return i})(t,e,r,this),this._tiles={},this._cache=new ft(0,(t=>this._unloadTile(t))),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._maxTileCacheZoomLevels=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new pt,this._didEmitContent=!1,this._updated=!1}onAdd(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._maxTileCacheZoomLevels=t?t._maxTileCacheZoomLevels:null,this._source&&this._source.onAdd&&this._source.onAdd(t)}onRemove(t){this.clearTiles(),this._source&&this._source.onRemove&&this._source.onRemove(t)}loaded(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;if(!(void 0===this.used&&void 0===this.usedForTerrain||this.used||this.usedForTerrain))return!0;if(!this._updated)return!1;for(const t in this._tiles){const e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}return!0}getSource(){return this._source}pause(){this._paused=!0}resume(){if(!this._paused)return;const t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform,this.terrain)}_loadTile(t,r,n){return e._(this,void 0,void 0,(function*(){try{yield this._source.loadTile(t),this._tileLoaded(t,r,n)}catch(r){t.state=\"errored\",404!==r.status?this._source.fire(new e.j(r,{tile:t})):this.update(this.transform,this.terrain)}}))}_unloadTile(t){this._source.unloadTile&&this._source.unloadTile(t)}_abortTile(t){this._source.abortTile&&this._source.abortTile(t),this._source.fire(new e.k(\"dataabort\",{tile:t,coord:t.tileID,dataType:\"source\"}))}serialize(){return this._source.serialize()}prepare(t){this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null);for(const e in this._tiles){const r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}}getIds(){return Object.values(this._tiles).map((t=>t.tileID)).sort(mt).map((t=>t.key))}getRenderableIds(t){const r=[];for(const e in this._tiles)this._isIdRenderable(e,t)&&r.push(this._tiles[e]);return t?r.sort(((t,r)=>{const n=t.tileID,i=r.tileID,a=new e.P(n.canonical.x,n.canonical.y)._rotate(this.transform.angle),o=new e.P(i.canonical.x,i.canonical.y)._rotate(this.transform.angle);return n.overscaledZ-i.overscaledZ||o.y-a.y||o.x-a.x})).map((t=>t.tileID.key)):r.map((t=>t.tileID)).sort(mt).map((t=>t.key))}hasRenderableParent(t){const e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)}_isIdRenderable(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())}reload(){if(this._paused)this._shouldReloadOnResume=!0;else{this._cache.reset();for(const t in this._tiles)\"errored\"!==this._tiles[t].state&&this._reloadTile(t,\"reloading\")}}_reloadTile(t,r){return e._(this,void 0,void 0,(function*(){const e=this._tiles[t];e&&(\"loading\"!==e.state&&(e.state=r),yield this._loadTile(e,t,r))}))}_tileLoaded(t,r,n){t.timeAdded=a.now(),\"expired\"===n&&(t.refreshedUponExpiration=!0),this._setTileReloadTimer(r,t),\"raster-dem\"===this.getSource().type&&t.dem&&this._backfillDEM(t),this._state.initializeTileState(t,this.map?this.map.painter:null),t.aborted||this._source.fire(new e.k(\"data\",{dataType:\"source\",tile:t,coord:t.tileID}))}_backfillDEM(t){const e=this.getRenderableIds();for(let n=0;n<e.length;n++){const i=e[n];if(t.neighboringTiles&&t.neighboringTiles[i]){const e=this.getTileByID(i);r(t,e),r(e,t)}}function r(t,e){t.needsHillshadePrepare=!0,t.needsTerrainPrepare=!0;let r=e.tileID.canonical.x-t.tileID.canonical.x;const n=e.tileID.canonical.y-t.tileID.canonical.y,i=Math.pow(2,t.tileID.canonical.z),a=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}}getTile(t){return this.getTileByID(t.key)}getTileByID(t){return this._tiles[t]}_retainLoadedChildren(t,e,r,n){for(const i in this._tiles){let a=this._tiles[i];if(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)continue;let o=a.tileID;for(;a&&a.tileID.overscaledZ>e+1;){const t=a.tileID.scaledTo(a.tileID.overscaledZ-1);a=this._tiles[t.key],a&&a.hasData()&&(o=t)}let s=o;for(;s.overscaledZ>e;)if(s=s.scaledTo(s.overscaledZ-1),t[s.key]){n[o.key]=o;break}}}findLoadedParent(t,e){if(t.key in this._loadedParentTiles){const r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(let r=t.overscaledZ-1;r>=e;r--){const e=t.scaledTo(r),n=this._getLoadedTile(e);if(n)return n}}findLoadedSibling(t){return this._getLoadedTile(t)}_getLoadedTile(t){const e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)}updateCacheSize(t){const r=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),n=null===this._maxTileCacheZoomLevels?e.a.MAX_TILE_CACHE_ZOOM_LEVELS:this._maxTileCacheZoomLevels,i=Math.floor(r*n),a=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,i):i;this._cache.setMaxSize(a)}handleWrapJump(t){const e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){const t={};for(const e in this._tiles){const n=this._tiles[e];n.tileID=n.tileID.unwrapTo(n.tileID.wrap+r),t[n.tileID.key]=n}this._tiles=t;for(const t in this._timers)clearTimeout(this._timers[t]),delete this._timers[t];for(const t in this._tiles){const e=this._tiles[t];this._setTileReloadTimer(t,e)}}}_updateCoveredAndRetainedTiles(t,e,r,n,i,o){const s={},l={},c=Object.keys(t),u=a.now();for(const r of c){const n=t[r],i=this._tiles[r];if(!i||0!==i.fadeEndTime&&i.fadeEndTime<=u)continue;const a=this.findLoadedParent(n,e),o=this.findLoadedSibling(n),c=a||o||null;c&&(this._addTile(c.tileID),s[c.tileID.key]=c.tileID),l[r]=n}this._retainLoadedChildren(l,n,r,t);for(const e in s)t[e]||(this._coveredTiles[e]=!0,t[e]=s[e]);if(o){const e={},r={};for(const t of i)this._tiles[t.key].hasData()?e[t.key]=t:r[t.key]=t;for(const n in r){const i=r[n].children(this._source.maxzoom);this._tiles[i[0].key]&&this._tiles[i[1].key]&&this._tiles[i[2].key]&&this._tiles[i[3].key]&&(e[i[0].key]=t[i[0].key]=i[0],e[i[1].key]=t[i[1].key]=i[1],e[i[2].key]=t[i[2].key]=i[2],e[i[3].key]=t[i[3].key]=i[3],delete r[n])}for(const n in r){const i=r[n],a=this.findLoadedParent(i,this._source.minzoom),o=this.findLoadedSibling(i),s=a||o||null;if(s){e[s.tileID.key]=t[s.tileID.key]=s.tileID;for(const t in e)e[t].isChildOf(s.tileID)&&delete e[t]}}for(const t in this._tiles)e[t]||(this._coveredTiles[t]=!0)}}update(t,r){if(!this._sourceLoaded||this._paused)return;let n;this.transform=t,this.terrain=r,this.updateCacheSize(t),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used||this.usedForTerrain?this._source.tileID?n=t.getVisibleUnwrappedCoordinates(this._source.tileID).map((t=>new e.S(t.canonical.z,t.wrap,t.canonical.z,t.canonical.x,t.canonical.y))):(n=t.coveringTiles({tileSize:this.usedForTerrain?this.tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:!this.usedForTerrain&&this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled,terrain:r}),this._source.hasTile&&(n=n.filter((t=>this._source.hasTile(t))))):n=[];const i=t.coveringZoomLevel(this._source),a=Math.max(i-dt.maxOverzooming,this._source.minzoom),o=Math.max(i+dt.maxUnderzooming,this._source.minzoom);if(this.usedForTerrain){const t={};for(const e of n)if(e.canonical.z>this._source.minzoom){const r=e.scaledTo(e.canonical.z-1);t[r.key]=r;const n=e.scaledTo(Math.max(this._source.minzoom,Math.min(e.canonical.z,5)));t[n.key]=n}n=n.concat(Object.values(t))}const s=0===n.length&&!this._updated&&this._didEmitContent;this._updated=!0,s&&this.fire(new e.k(\"data\",{sourceDataType:\"idle\",dataType:\"source\",sourceId:this.id}));const l=this._updateRetainedTiles(n,i);gt(this._source.type)&&this._updateCoveredAndRetainedTiles(l,a,o,i,n,r);for(const t in l)this._tiles[t].clearFadeHold();const c=e.ac(this._tiles,l);for(const t of c){const e=this._tiles[t];e.hasSymbolBuckets&&!e.holdingForFade()?e.setHoldDuration(this.map._fadeDuration):e.hasSymbolBuckets&&!e.symbolFadeFinished()||this._removeTile(t)}this._updateLoadedParentTileCache(),this._updateLoadedSiblingTileCache()}releaseSymbolFadeTiles(){for(const t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)}_updateRetainedTiles(t,e){var r;const n={},i={},a=Math.max(e-dt.maxOverzooming,this._source.minzoom),o=Math.max(e+dt.maxUnderzooming,this._source.minzoom),s={};for(const r of t){const t=this._addTile(r);n[r.key]=r,t.hasData()||e<this._source.maxzoom&&(s[r.key]=r)}this._retainLoadedChildren(s,e,o,n);for(const o of t){let t=this._tiles[o.key];if(t.hasData())continue;if(e+1>this._source.maxzoom){const t=o.children(this._source.maxzoom)[0],e=this.getTile(t);if(e&&e.hasData()){n[t.key]=t;continue}}else{const t=o.children(this._source.maxzoom);if(n[t[0].key]&&n[t[1].key]&&n[t[2].key]&&n[t[3].key])continue}let s=t.wasRequested();for(let e=o.overscaledZ-1;e>=a;--e){const a=o.scaledTo(e);if(i[a.key])break;if(i[a.key]=!0,t=this.getTile(a),!t&&s&&(t=this._addTile(a)),t){const e=t.hasData();if((e||!(null===(r=this.map)||void 0===r?void 0:r.cancelPendingTileRequestsWhileZooming)||s)&&(n[a.key]=a),s=t.wasRequested(),e)break}}}return n}_updateLoadedParentTileCache(){this._loadedParentTiles={};for(const t in this._tiles){const e=[];let r,n=this._tiles[t].tileID;for(;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);const t=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(t),r)break;n=t}for(const t of e)this._loadedParentTiles[t]=r}}_updateLoadedSiblingTileCache(){this._loadedSiblingTiles={};for(const t in this._tiles){const e=this._tiles[t].tileID,r=this._getLoadedTile(e);this._loadedSiblingTiles[e.key]=r}}_addTile(t){let r=this._tiles[t.key];if(r)return r;r=this._cache.getAndRemove(t),r&&(this._setTileReloadTimer(t.key,r),r.tileID=t,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[t.key]&&(clearTimeout(this._cacheTimers[t.key]),delete this._cacheTimers[t.key],this._setTileReloadTimer(t.key,r)));const n=r;return r||(r=new ht(t,this._source.tileSize*t.overscaleFactor()),this._loadTile(r,t.key,r.state)),r.uses++,this._tiles[t.key]=r,n||this._source.fire(new e.k(\"dataloading\",{tile:r,coord:r.tileID,dataType:\"source\"})),r}_setTileReloadTimer(t,e){t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);const r=e.getExpiryTimeout();r&&(this._timers[t]=setTimeout((()=>{this._reloadTile(t,\"expired\"),delete this._timers[t]}),r))}_removeTile(t){const e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&\"reloading\"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))}_dataHandler(t){const e=t.sourceDataType;\"source\"===t.dataType&&\"metadata\"===e&&(this._sourceLoaded=!0),this._sourceLoaded&&!this._paused&&\"source\"===t.dataType&&\"content\"===e&&(this.reload(),this.transform&&this.update(this.transform,this.terrain),this._didEmitContent=!0)}clearTiles(){this._shouldReloadOnResume=!1,this._paused=!1;for(const t in this._tiles)this._removeTile(t);this._cache.reset()}tilesIn(t,r,n){const i=[],a=this.transform;if(!a)return i;const o=n?a.getCameraQueryGeometry(t):t,s=t.map((t=>a.pointCoordinate(t,this.terrain))),l=o.map((t=>a.pointCoordinate(t,this.terrain))),c=this.getIds();let u=1/0,h=1/0,f=-1/0,p=-1/0;for(const t of l)u=Math.min(u,t.x),h=Math.min(h,t.y),f=Math.max(f,t.x),p=Math.max(p,t.y);for(let t=0;t<c.length;t++){const n=this._tiles[c[t]];if(n.holdingForFade())continue;const o=n.tileID,d=Math.pow(2,a.zoom-n.tileID.overscaledZ),m=r*n.queryPadding*e.X/n.tileSize/d,g=[o.getTilePoint(new e.Z(u,h)),o.getTilePoint(new e.Z(f,p))];if(g[0].x-m<e.X&&g[0].y-m<e.X&&g[1].x+m>=0&&g[1].y+m>=0){const t=s.map((t=>o.getTilePoint(t))),e=l.map((t=>o.getTilePoint(t)));i.push({tile:n,tileID:o,queryGeometry:t,cameraQueryGeometry:e,scale:d})}}return i}getVisibleCoordinates(t){const e=this.getRenderableIds(t).map((t=>this._tiles[t].tileID));for(const t of e)t.posMatrix=this.transform.calculatePosMatrix(t.toUnwrapped());return e}hasTransition(){if(this._source.hasTransition())return!0;if(gt(this._source.type)){const t=a.now();for(const e in this._tiles)if(this._tiles[e].fadeEndTime>=t)return!0}return!1}setFeatureState(t,e,r){t=t||\"_geojsonTileLayer\",this._state.updateState(t,e,r)}removeFeatureState(t,e,r){t=t||\"_geojsonTileLayer\",this._state.removeFeatureState(t,e,r)}getFeatureState(t,e){return t=t||\"_geojsonTileLayer\",this._state.getState(t,e)}setDependencies(t,e,r){const n=this._tiles[t];n&&n.setDependencies(e,r)}reloadTilesForDependencies(t,e){for(const r in this._tiles)this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,\"reloading\");this._cache.filter((r=>!r.hasDependency(t,e)))}}function mt(t,e){const r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function gt(t){return\"raster\"===t||\"image\"===t||\"video\"===t}dt.maxOverzooming=10,dt.maxUnderzooming=3;class yt{constructor(t,e){this.reset(t,e)}reset(t,e){this.points=t||[],this._distances=[0];for(let t=1;t<this.points.length;t++)this._distances[t]=this._distances[t-1]+this.points[t].dist(this.points[t-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(e||0,.5*this.length),this.paddedLength=this.length-2*this.padding}lerp(t){if(1===this.points.length)return this.points[0];t=e.ad(t,0,1);let r=1,n=this._distances[r];const i=t*this.paddedLength+this.padding;for(;n<i&&r<this._distances.length;)n=this._distances[++r];const a=r-1,o=this._distances[a],s=n-o,l=s>0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))}}function vt(t,e){let r=!0;return\"always\"===t||\"never\"!==t&&\"never\"!==e||(r=!1),r}class xt{constructor(t,e,r){const n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(let t=0;t<this.xCellCount*this.yCellCount;t++)n.push([]),i.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0}keysLength(){return this.boxKeys.length+this.circleKeys.length}insert(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)}insertCircle(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)}_insertBoxCell(t,e,r,n,i,a){this.boxCells[i].push(a)}_insertCircleCell(t,e,r,n,i,a){this.circleCells[i].push(a)}_query(t,e,r,n,i,a,o){if(r<0||t>this.width||n<0||e>this.height)return[];const s=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return[{key:null,x1:t,y1:e,x2:r,y2:n}];for(let t=0;t<this.boxKeys.length;t++)s.push({key:this.boxKeys[t],x1:this.bboxes[4*t],y1:this.bboxes[4*t+1],x2:this.bboxes[4*t+2],y2:this.bboxes[4*t+3]});for(let t=0;t<this.circleKeys.length;t++){const e=this.circles[3*t],r=this.circles[3*t+1],n=this.circles[3*t+2];s.push({key:this.circleKeys[t],x1:e-n,y1:r-n,x2:e+n,y2:r+n})}}else{const l={hitTest:i,overlapMode:a,seenUids:{box:{},circle:{}}};this._forEachCell(t,e,r,n,this._queryCell,s,l,o)}return s}query(t,e,r,n){return this._query(t,e,r,n,!1,null)}hitTest(t,e,r,n,i,a){return this._query(t,e,r,n,!0,i,a).length>0}hitTestCircle(t,e,r,n,i){const a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!1;const c=[],u={hitTest:!0,overlapMode:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,c,u,i),c.length>0}_queryCell(t,e,r,n,i,a,o,s){const{seenUids:l,hitTest:c,overlapMode:u}=o,h=this.boxCells[i];if(null!==h){const i=this.bboxes;for(const o of h)if(!l.box[o]){l.box[o]=!0;const h=4*o,f=this.boxKeys[o];if(t<=i[h+2]&&e<=i[h+3]&&r>=i[h+0]&&n>=i[h+1]&&(!s||s(f))&&(!c||!vt(u,f.overlapMode))&&(a.push({key:f,x1:i[h],y1:i[h+1],x2:i[h+2],y2:i[h+3]}),c))return!0}}const f=this.circleCells[i];if(null!==f){const i=this.circles;for(const o of f)if(!l.circle[o]){l.circle[o]=!0;const h=3*o,f=this.circleKeys[o];if(this._circleAndRectCollide(i[h],i[h+1],i[h+2],t,e,r,n)&&(!s||s(f))&&(!c||!vt(u,f.overlapMode))){const t=i[h],e=i[h+1],r=i[h+2];if(a.push({key:f,x1:t-r,y1:e-r,x2:t+r,y2:e+r}),c)return!0}}}return!1}_queryCellCircle(t,e,r,n,i,a,o,s){const{circle:l,seenUids:c,overlapMode:u}=o,h=this.boxCells[i];if(null!==h){const t=this.bboxes;for(const e of h)if(!c.box[e]){c.box[e]=!0;const r=4*e,n=this.boxKeys[e];if(this._circleAndRectCollide(l.x,l.y,l.radius,t[r+0],t[r+1],t[r+2],t[r+3])&&(!s||s(n))&&!vt(u,n.overlapMode))return a.push(!0),!0}}const f=this.circleCells[i];if(null!==f){const t=this.circles;for(const e of f)if(!c.circle[e]){c.circle[e]=!0;const r=3*e,n=this.circleKeys[e];if(this._circlesCollide(t[r],t[r+1],t[r+2],l.x,l.y,l.radius)&&(!s||s(n))&&!vt(u,n.overlapMode))return a.push(!0),!0}}}_forEachCell(t,e,r,n,i,a,o,s){const l=this._convertToXCellCoord(t),c=this._convertToYCellCoord(e),u=this._convertToXCellCoord(r),h=this._convertToYCellCoord(n);for(let f=l;f<=u;f++)for(let l=c;l<=h;l++){const c=this.xCellCount*l+f;if(i.call(this,t,e,r,n,c,a,o,s))return}}_convertToXCellCoord(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))}_convertToYCellCoord(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))}_circlesCollide(t,e,r,n,i,a){const o=n-t,s=i-e,l=r+a;return l*l>o*o+s*s}_circleAndRectCollide(t,e,r,n,i,a,o){const s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;const c=(o-i)/2,u=Math.abs(e-(i+c));if(u>c+r)return!1;if(l<=s||u<=c)return!0;const h=l-s,f=u-c;return h*h+f*f<=r*r}}function _t(t,r,n,i,a){const o=e.H();return r?(e.K(o,o,[1/a,1/a,1]),n||e.ae(o,o,i.angle)):e.L(o,i.labelPlaneMatrix,t),o}function bt(t,r,n,i,a){if(r){const r=e.af(t);return e.K(r,r,[a,a,1]),n||e.ae(r,r,-i.angle),r}return i.glCoordMatrix}function wt(t,r,n){let i;n?(i=[t.x,t.y,n(t.x,t.y),1],e.ag(i,i,r)):(i=[t.x,t.y,0,1],function(t,e,r){const n=e[0],i=e[1];t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t[3]=r[3]*n+r[7]*i+r[15]}(i,i,r));const a=i[3];return{point:new e.P(i[0]/a,i[1]/a),signedDistanceFromCamera:a,isOccluded:!1}}function Tt(t,e){return.5+t/e*.5}function kt(t,e){return t.x>=-e[0]&&t.x<=e[0]&&t.y>=-e[1]&&t.y<=e[1]}function At(t,r,n,i,a,o,s,l,c,u,h,f,p,d,m){const g=i?t.textSizeData:t.iconSizeData,y=e.ah(g,n.transform.zoom),v=[256/n.width*2+1,256/n.height*2+1],x=i?t.text.dynamicLayoutVertexArray:t.icon.dynamicLayoutVertexArray;x.clear();const _=t.lineVertexArray,b=i?t.text.placedSymbolArray:t.icon.placedSymbolArray,w=n.transform.width/n.transform.height;let T=!1;for(let i=0;i<b.length;i++){const k=b.get(i);if(k.hidden||k.writingMode===e.ai.vertical&&!T){Rt(k.numGlyphs,x);continue}T=!1;const A=wt(new e.P(k.anchorX,k.anchorY),r,m);if(!kt(A.point,v)){Rt(k.numGlyphs,x);continue}const M=A.signedDistanceFromCamera,S=Tt(n.transform.cameraToCenterDistance,M),E=e.aj(g,y,k),C=s?E/S:E*S,L={getElevation:m,labelPlaneMatrix:a,lineVertexArray:_,pitchWithMap:s,projectionCache:{projections:{},offsets:{},cachedAnchorPoint:void 0,anyProjectionOccluded:!1},projection:u,tileAnchorPoint:new e.P(k.anchorX,k.anchorY),unwrappedTileID:h,width:f,height:p,translation:d},I=Et(L,k,C,!1,l,r,o,t.glyphOffsetArray,x,w,c);T=I.useVertical,(I.notEnoughRoom||T||I.needsFlipping&&Et(L,k,C,!0,l,r,o,t.glyphOffsetArray,x,w,c).notEnoughRoom)&&Rt(k.numGlyphs,x)}i?t.text.dynamicLayoutVertexBuffer.updateData(x):t.icon.dynamicLayoutVertexBuffer.updateData(x)}function Mt(t,e,r,n,i,a,o,s){const l=a.glyphStartIndex+a.numGlyphs,c=a.lineStartIndex,u=a.lineStartIndex+a.lineLength,h=e.getoffsetX(a.glyphStartIndex),f=e.getoffsetX(l-1),p=Ot(t*h,r,n,i,a.segment,c,u,s,o);if(!p)return null;const d=Ot(t*f,r,n,i,a.segment,c,u,s,o);return d?s.projectionCache.anyProjectionOccluded?null:{first:p,last:d}:null}function St(t,r,n,i){return t===e.ai.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*i?{useVertical:!0}:(t===e.ai.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function Et(t,r,n,i,a,o,s,l,c,u,h){const f=n/24,p=r.lineOffsetX*f,d=r.lineOffsetY*f;let m;if(r.numGlyphs>1){const e=r.glyphStartIndex+r.numGlyphs,n=r.lineStartIndex,o=r.lineStartIndex+r.lineLength,c=Mt(f,l,p,d,i,r,h,t);if(!c)return{notEnoughRoom:!0};const g=wt(c.first.point,s,t.getElevation).point,y=wt(c.last.point,s,t.getElevation).point;if(a&&!i){const t=St(r.writingMode,g,y,u);if(t)return t}m=[c.first];for(let a=r.glyphStartIndex+1;a<e-1;a++)m.push(Ot(f*l.getoffsetX(a),p,d,i,r.segment,n,o,t,h));m.push(c.last)}else{if(a&&!i){const n=wt(t.tileAnchorPoint,o,t.getElevation).point,i=r.lineStartIndex+r.segment+1,a=new e.P(t.lineVertexArray.getx(i),t.lineVertexArray.gety(i)),s=wt(a,o,t.getElevation),l=s.signedDistanceFromCamera>0?s.point:function(t,e,r,n,i,a){return Ct(t,e,r,n,i,a)}(t.tileAnchorPoint,a,n,1,o,t),c=St(r.writingMode,n,l,u);if(c)return c}const n=Ot(f*l.getoffsetX(r.glyphStartIndex),p,d,i,r.segment,r.lineStartIndex,r.lineStartIndex+r.lineLength,t,h);if(!n||t.projectionCache.anyProjectionOccluded)return{notEnoughRoom:!0};m=[n]}for(const t of m)e.ak(c,t.point,t.angle);return{}}function Ct(t,e,r,n,i,a){const o=t.add(t.sub(e)._unit()),s=void 0!==i?wt(o,i,a.getElevation).point:It(o.x,o.y,a).point,l=r.sub(s);return r.add(l._mult(n/l.mag()))}function Lt(t,r,n){const i=r.projectionCache;if(i.projections[t])return i.projections[t];const a=new e.P(r.lineVertexArray.getx(t),r.lineVertexArray.gety(t)),o=It(a.x,a.y,r);if(o.signedDistanceFromCamera>0)return i.projections[t]=o.point,i.anyProjectionOccluded=i.anyProjectionOccluded||o.isOccluded,o.point;const s=t-n.direction,l=0===n.distanceFromAnchor?r.tileAnchorPoint:new e.P(r.lineVertexArray.getx(s),r.lineVertexArray.gety(s)),c=n.absOffsetX-n.distanceFromAnchor+1;return function(t,e,r,n,i){return Ct(t,e,r,n,void 0,i)}(l,a,n.previousVertex,c,r)}function It(t,r,n){const i=t+n.translation[0],a=r+n.translation[1];let o;return!n.pitchWithMap&&n.projection.useSpecialProjectionForSymbols?(o=n.projection.projectTileCoordinates(i,a,n.unwrappedTileID,n.getElevation),o.point.x=(.5*o.point.x+.5)*n.width,o.point.y=(.5*-o.point.y+.5)*n.height):(o=wt(new e.P(i,a),n.labelPlaneMatrix,n.getElevation),o.isOccluded=!1),o}function Pt(t,e,r){return t._unit()._perp()._mult(e*r)}function zt(t,r,n,i,a,o,s,l,c){if(l.projectionCache.offsets[t])return l.projectionCache.offsets[t];const u=n.add(r);if(t+c.direction<i||t+c.direction>=a)return l.projectionCache.offsets[t]=u,u;const h=Lt(t+c.direction,l,c),f=Pt(h.sub(n),s,c.direction),p=n.add(f),d=h.add(f);return l.projectionCache.offsets[t]=e.al(o,u,p,d)||u,l.projectionCache.offsets[t]}function Ot(t,e,r,n,i,a,o,s,l){const c=n?t-e:t+e;let u=c>0?1:-1,h=0;n&&(u*=-1,h=Math.PI),u<0&&(h+=Math.PI);let f,p=u>0?a+i:a+i+1;s.projectionCache.cachedAnchorPoint?f=s.projectionCache.cachedAnchorPoint:(f=It(s.tileAnchorPoint.x,s.tileAnchorPoint.y,s).point,s.projectionCache.cachedAnchorPoint=f);let d,m,g=f,y=f,v=0,x=0;const _=Math.abs(c),b=[];let w;for(;v+x<=_;){if(p+=u,p<a||p>=o)return null;v+=x,y=g,m=d;const t={absOffsetX:_,direction:u,distanceFromAnchor:v,previousVertex:y};if(g=Lt(p,s,t),0===r)b.push(y),w=g.sub(y);else{let e;const n=g.sub(y);e=0===n.mag()?Pt(Lt(p+u,s,t).sub(g),r,u):Pt(n,r,u),m||(m=y.add(e)),d=zt(p,e,g,a,o,m,r,s,t),b.push(m),w=d.sub(m)}x=w.mag()}const T=(_-v)/x,k=w._mult(T)._add(m||y),A=h+Math.atan2(g.y-y.y,g.x-y.x);return b.push(k),{point:k,angle:l?A:0,path:b}}const Dt=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function Rt(t,e){for(let r=0;r<t;r++){const t=e.length;e.resize(t+4),e.float32.set(Dt,3*t)}}const Ft=100;class Bt{constructor(t,e,r=new xt(t.width+200,t.height+200,25),n=new xt(t.width+200,t.height+200,25)){this.transform=t,this.mapProjection=e,this.grid=r,this.ignoredGrid=n,this.pitchFactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+Ft,this.screenBottomBoundary=t.height+Ft,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200,this.perspectiveRatioCutoff=.6}placeCollisionBox(t,e,r,n,i,a,o,s,l,c,u){const h=t.anchorPointX+s[0],f=t.anchorPointY+s[1],p=this.projectAndGetPerspectiveRatio(n,h,f,i,c),d=this._projectCollisionBox(t,r,n,i,a,o,s,p,c,u),[m,g,y,v]=d.box;return this.mapProjection.useSpecialProjectionForSymbols&&(a?d.allPointsOccluded:this.mapProjection.isOccluded(h,f,i))||p.perspectiveRatio<this.perspectiveRatioCutoff||!this.isInsideGrid(m,g,y,v)||\"always\"!==e&&this.grid.hitTest(m,g,y,v,e,l)?{box:[m,g,y,v],placeable:!1,offscreen:!1}:{box:[m,g,y,v],placeable:!0,offscreen:this.isOffscreen(m,g,y,v)}}placeCollisionCircles(t,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g){const y=[],v=new e.P(r.anchorX,r.anchorY),x=this.getPerspectiveRatio(o,v.x,v.y,s,g),_=(h?a/x:a*x)/e.aq,b=r.lineOffsetX*_,w=r.lineOffsetY*_,T={getElevation:g,labelPlaneMatrix:l,lineVertexArray:n,pitchWithMap:h,projectionCache:{projections:{},offsets:{},cachedAnchorPoint:void 0,anyProjectionOccluded:!1},projection:this.mapProjection,tileAnchorPoint:v,unwrappedTileID:s,width:this.transform.width,height:this.transform.height,translation:m},k=Mt(_,i,b,w,!1,r,!1,T);let A=!1,M=!1,S=!0;if(k){const r=.5*p*x+d,n=new e.P(-100,-100),i=new e.P(this.screenRightBoundary,this.screenBottomBoundary),a=new yt,o=k.first,s=k.last;let l=[];for(let t=o.path.length-1;t>=1;t--)l.push(o.path[t]);for(let t=1;t<s.path.length;t++)l.push(s.path[t]);const h=2.5*r;if(c){const t=this.projectPathToScreenSpace(l,T,c);l=t.some((t=>t.signedDistanceFromCamera<=0))?[]:t.map((t=>t.point))}let m=[];if(l.length>0){const t=l[0].clone(),r=l[0].clone();for(let e=1;e<l.length;e++)t.x=Math.min(t.x,l[e].x),t.y=Math.min(t.y,l[e].y),r.x=Math.max(r.x,l[e].x),r.y=Math.max(r.y,l[e].y);m=t.x>=n.x&&r.x<=i.x&&t.y>=n.y&&r.y<=i.y?[l]:r.x<n.x||t.x>i.x||r.y<n.y||t.y>i.y?[]:e.am([l],n.x,n.y,i.x,i.y)}for(const e of m){a.reset(e,.25*r);let n=0;n=a.length<=.5*r?1:Math.ceil(a.paddedLength/h)+1;for(let e=0;e<n;e++){const i=e/Math.max(n-1,1),o=a.lerp(i),s=o.x+Ft,l=o.y+Ft;y.push(s,l,r,0);const c=s-r,h=l-r,p=s+r,d=l+r;if(S=S&&this.isOffscreen(c,h,p,d),M=M||this.isInsideGrid(c,h,p,d),\"always\"!==t&&this.grid.hitTestCircle(s,l,r,t,f)&&(A=!0,!u))return{circles:[],offscreen:!1,collisionDetected:A}}}}return{circles:!u&&A||!M||x<this.perspectiveRatioCutoff?[]:y,offscreen:S,collisionDetected:A}}projectPathToScreenSpace(t,e,r){return t.map((t=>wt(t,r,e.getElevation)))}queryRenderedSymbols(t){if(0===t.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};const r=[];let n=1/0,i=1/0,a=-1/0,o=-1/0;for(const s of t){const t=new e.P(s.x+Ft,s.y+Ft);n=Math.min(n,t.x),i=Math.min(i,t.y),a=Math.max(a,t.x),o=Math.max(o,t.y),r.push(t)}const s=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o)),l={},c={};for(const t of s){const n=t.key;if(void 0===l[n.bucketInstanceId]&&(l[n.bucketInstanceId]={}),l[n.bucketInstanceId][n.featureIndex])continue;const i=[new e.P(t.x1,t.y1),new e.P(t.x2,t.y1),new e.P(t.x2,t.y2),new e.P(t.x1,t.y2)];e.an(r,i)&&(l[n.bucketInstanceId][n.featureIndex]=!0,void 0===c[n.bucketInstanceId]&&(c[n.bucketInstanceId]=[]),c[n.bucketInstanceId].push(n.featureIndex))}return c}insertCollisionBox(t,e,r,n,i,a){const o={bucketInstanceId:n,featureIndex:i,collisionGroupID:a,overlapMode:e};(r?this.ignoredGrid:this.grid).insert(o,t[0],t[1],t[2],t[3])}insertCollisionCircles(t,e,r,n,i,a){const o=r?this.ignoredGrid:this.grid,s={bucketInstanceId:n,featureIndex:i,collisionGroupID:a,overlapMode:e};for(let e=0;e<t.length;e+=4)o.insertCircle(s,t[e],t[e+1],t[e+2])}projectAndGetPerspectiveRatio(t,r,n,i,a){const o=this.mapProjection.useSpecialProjectionForSymbols?this.mapProjection.projectTileCoordinates(r,n,i,a):wt(new e.P(r,n),t,a);return{point:new e.P((o.point.x+1)/2*this.transform.width+Ft,(1-o.point.y)/2*this.transform.height+Ft),perspectiveRatio:.5+this.transform.cameraToCenterDistance/o.signedDistanceFromCamera*.5,isOccluded:o.isOccluded,signedDistanceFromCamera:o.signedDistanceFromCamera}}getPerspectiveRatio(t,r,n,i,a){const o=this.mapProjection.useSpecialProjectionForSymbols?this.mapProjection.projectTileCoordinates(r,n,i,a):wt(new e.P(r,n),t,a);return.5+this.transform.cameraToCenterDistance/o.signedDistanceFromCamera*.5}isOffscreen(t,e,r,n){return r<Ft||t>=this.screenRightBoundary||n<Ft||e>this.screenBottomBoundary}isInsideGrid(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary}getViewportMatrix(){const t=e.ao([]);return e.J(t,t,[-100,-100,0]),t}_projectCollisionBox(t,r,n,i,a,o,s,l,c,u){const h=r*l.perspectiveRatio;let f=new e.P(1,0),p=new e.P(0,1);const d=new e.P(t.anchorPointX+s[0],t.anchorPointY+s[1]);if(o&&!a){const t=this.projectAndGetPerspectiveRatio(n,d.x+1,d.y,i,c).point.sub(l.point).unit(),r=Math.atan(t.y/t.x)+(t.x<0?Math.PI:0),a=Math.sin(r),o=Math.cos(r);f=new e.P(o,a),p=new e.P(-a,o)}else if(!o&&a){const t=-this.transform.angle,r=Math.sin(t),n=Math.cos(t);f=new e.P(n,r),p=new e.P(-r,n)}let m=l.point,g=h;if(a){m=d;const t=this.transform.zoom-Math.floor(this.transform.zoom);if(g=Math.pow(2,-t),g*=this.mapProjection.getPitchedTextCorrection(this.transform,d,i),!u){const t=l.signedDistanceFromCamera/this.transform.cameraToCenterDistance;g*=e.ad(.5+.5*t,0,4)}}u&&(m=m.add(f.mult(u.x*g)).add(p.mult(u.y*g)));const y=t.x1*g,v=t.x2*g,x=(y+v)/2,_=t.y1*g,b=t.y2*g,w=(_+b)/2,T=[{offsetX:y,offsetY:_},{offsetX:x,offsetY:_},{offsetX:v,offsetY:_},{offsetX:v,offsetY:w},{offsetX:v,offsetY:b},{offsetX:x,offsetY:b},{offsetX:y,offsetY:b},{offsetX:y,offsetY:w}];let k=[];for(const{offsetX:t,offsetY:r}of T)k.push(new e.P(m.x+f.x*t+p.x*r,m.y+f.y*t+p.y*r));let A=!1;if(a){const t=k.map((t=>this.projectAndGetPerspectiveRatio(n,t.x,t.y,i,c)));A=t.some((t=>!t.isOccluded)),k=t.map((t=>t.point))}else A=!0;return{box:e.ap(k),allPointsOccluded:!A}}}function Nt(t,r,n){return r*(e.X/(t.tileSize*Math.pow(2,n-t.tileID.overscaledZ)))}class jt{constructor(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r}isHidden(){return 0===this.opacity&&!this.placed}}class Ut{constructor(t,e,r,n,i){this.text=new jt(t?t.text:null,e,r,i),this.icon=new jt(t?t.icon:null,e,n,i)}isHidden(){return this.text.isHidden()&&this.icon.isHidden()}}class Vt{constructor(t,e,r){this.text=t,this.icon=e,this.skipFade=r}}class qt{constructor(){this.invProjMatrix=e.H(),this.viewportMatrix=e.H(),this.circles=[]}}class Ht{constructor(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i}}class Gt{constructor(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}}get(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){const e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:t=>t.collisionGroupID===e}}return this.collisionGroups[t]}}function Zt(t,r,n,i,a){const{horizontalAlign:o,verticalAlign:s}=e.av(t),l=-(o-.5)*r,c=-(s-.5)*n;return new e.P(l+i[0]*a,c+i[1]*a)}class Wt{constructor(t,e,r,n,i,a){this.transform=t.clone(),this.terrain=r,this.collisionIndex=new Bt(this.transform,e),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=n,this.retainedQueryData={},this.collisionGroups=new Gt(i),this.collisionCircleArrays={},this.collisionBoxArrays=new Map,this.prevPlacement=a,a&&(a.prevPlacement=void 0),this.placedOrientations={}}_getTerrainElevationFunc(t){const e=this.terrain;return e?(r,n)=>e.getElevation(t,r,n):null}getBucketParts(t,r,n,i){const a=n.getBucket(r),o=n.latestFeatureIndex;if(!a||!o||r.id!==a.layerIds[0])return;const s=n.collisionBoxArray,l=a.layers[0].layout,c=a.layers[0].paint,u=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),h=n.tileSize/e.X,f=n.tileID.toUnwrapped(),p=this.transform.calculatePosMatrix(f),d=\"map\"===l.get(\"text-pitch-alignment\"),m=\"map\"===l.get(\"text-rotation-alignment\"),g=Nt(n,1,this.transform.zoom),y=this.collisionIndex.mapProjection.translatePosition(this.transform,n,c.get(\"text-translate\"),c.get(\"text-translate-anchor\")),v=this.collisionIndex.mapProjection.translatePosition(this.transform,n,c.get(\"icon-translate\"),c.get(\"icon-translate-anchor\")),x=_t(p,d,m,this.transform,g);let _=null;if(d){const t=bt(p,d,m,this.transform,g);_=e.L([],this.transform.labelPlaneMatrix,t)}this.retainedQueryData[a.bucketInstanceId]=new Ht(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);const b={bucket:a,layout:l,translationText:y,translationIcon:v,posMatrix:p,unwrappedTileID:f,textLabelPlaneMatrix:x,labelToScreenMatrix:_,scale:u,textPixelRatio:h,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:e.ah(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(const e of a.sortKeyRanges){const{sortKey:r,symbolInstanceStart:n,symbolInstanceEnd:i}=e;t.push({sortKey:r,symbolInstanceStart:n,symbolInstanceEnd:i,parameters:b})}else t.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:b})}attemptAnchorPlacement(t,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g,y,v,x){const _=e.ar[t.textAnchor],b=[t.textOffset0,t.textOffset1],w=Zt(_,n,i,b,a),T=this.collisionIndex.placeCollisionBox(r,f,l,c,u,s,o,g,h.predicate,x,w);if((!v||this.collisionIndex.placeCollisionBox(v,f,l,c,u,s,o,y,h.predicate,x,w).placeable)&&T.placeable){let t;if(this.prevPlacement&&this.prevPlacement.variableOffsets[p.crossTileID]&&this.prevPlacement.placements[p.crossTileID]&&this.prevPlacement.placements[p.crossTileID].text&&(t=this.prevPlacement.variableOffsets[p.crossTileID].anchor),0===p.crossTileID)throw new Error(\"symbolInstance.crossTileID can't be 0\");return this.variableOffsets[p.crossTileID]={textOffset:b,width:n,height:i,anchor:_,textBoxScale:a,prevAnchor:t},this.markUsedJustification(d,_,p,m),d.allowVerticalPlacement&&(this.markUsedOrientation(d,m,p),this.placedOrientations[p.crossTileID]=m),{shift:w,placedGlyphBoxes:T}}}placeLayerBucketPart(t,r,n){const{bucket:i,layout:a,translationText:o,translationIcon:s,posMatrix:l,unwrappedTileID:c,textLabelPlaneMatrix:u,labelToScreenMatrix:h,textPixelRatio:f,holdingForFade:p,collisionBoxArray:d,partiallyEvaluatedTextSize:m,collisionGroup:g}=t.parameters,y=a.get(\"text-optional\"),v=a.get(\"icon-optional\"),x=e.as(a,\"text-overlap\",\"text-allow-overlap\"),_=\"always\"===x,b=e.as(a,\"icon-overlap\",\"icon-allow-overlap\"),w=\"always\"===b,T=\"map\"===a.get(\"text-rotation-alignment\"),k=\"map\"===a.get(\"text-pitch-alignment\"),A=\"none\"!==a.get(\"icon-text-fit\"),M=\"viewport-y\"===a.get(\"symbol-z-order\"),S=_&&(w||!i.hasIconData()||v),E=w&&(_||!i.hasTextData()||y);!i.collisionArrays&&d&&i.deserializeCollisionBoxes(d);const C=this.retainedQueryData[i.bucketInstanceId].tileID,L=this._getTerrainElevationFunc(C),I=(t,d,w)=>{var M,C;if(r[t.crossTileID])return;if(p)return void(this.placements[t.crossTileID]=new Vt(!1,!1,!1));let I=!1,P=!1,z=!0,O=null,D={box:null,placeable:!1,offscreen:null},R={box:null,placeable:!1,offscreen:null},F=null,B=null,N=null,j=0,U=0,V=0;d.textFeatureIndex?j=d.textFeatureIndex:t.useRuntimeCollisionCircles&&(j=t.featureIndex),d.verticalTextFeatureIndex&&(U=d.verticalTextFeatureIndex);const q=d.textBox;if(q){const r=r=>{let n=e.ai.horizontal;if(i.allowVerticalPlacement&&!r&&this.prevPlacement){const e=this.prevPlacement.placedOrientations[t.crossTileID];e&&(this.placedOrientations[t.crossTileID]=e,n=e,this.markUsedOrientation(i,n,t))}return n},a=(r,n)=>{if(i.allowVerticalPlacement&&t.numVerticalGlyphVertices>0&&d.verticalTextBox){for(const t of i.writingModes)if(t===e.ai.vertical?(D=n(),R=D):D=r(),D&&D.placeable)break}else D=r()},u=t.textAnchorOffsetStartIndex,h=t.textAnchorOffsetEndIndex;if(h===u){const n=(e,r)=>{const n=this.collisionIndex.placeCollisionBox(e,x,f,l,c,k,T,o,g.predicate,L);return n&&n.placeable&&(this.markUsedOrientation(i,r,t),this.placedOrientations[t.crossTileID]=r),n};a((()=>n(q,e.ai.horizontal)),(()=>{const r=d.verticalTextBox;return i.allowVerticalPlacement&&t.numVerticalGlyphVertices>0&&r?n(r,e.ai.vertical):{box:null,offscreen:null}})),r(D&&D.placeable)}else{let p=e.ar[null===(C=null===(M=this.prevPlacement)||void 0===M?void 0:M.variableOffsets[t.crossTileID])||void 0===C?void 0:C.anchor];const m=(r,a,d)=>{const m=r.x2-r.x1,y=r.y2-r.y1,v=t.textBoxScale,_=A&&\"never\"===b?a:null;let w=null,M=\"never\"===x?1:2,S=\"never\";p&&M++;for(let e=0;e<M;e++){for(let e=u;e<h;e++){const n=i.textAnchorOffsets.get(e);if(p&&n.textAnchor!==p)continue;const a=this.attemptAnchorPlacement(n,r,m,y,v,T,k,f,l,c,g,S,t,i,d,o,s,_,L);if(a&&(w=a.placedGlyphBoxes,w&&w.placeable))return I=!0,O=a.shift,w}p?p=null:S=x}return n&&!w&&(w={box:this.collisionIndex.placeCollisionBox(q,\"always\",f,l,c,k,T,o,g.predicate,L,new e.P(0,0)).box,offscreen:!1,placeable:!1}),w};a((()=>m(q,d.iconBox,e.ai.horizontal)),(()=>{const r=d.verticalTextBox,n=D&&D.placeable;return i.allowVerticalPlacement&&!n&&t.numVerticalGlyphVertices>0&&r?m(r,d.verticalIconBox,e.ai.vertical):{box:null,occluded:!0,offscreen:null}})),D&&(I=D.placeable,z=D.offscreen);const y=r(D&&D.placeable);if(!I&&this.prevPlacement){const e=this.prevPlacement.variableOffsets[t.crossTileID];e&&(this.variableOffsets[t.crossTileID]=e,this.markUsedJustification(i,e.anchor,t,y))}}}if(F=D,I=F&&F.placeable,z=F&&F.offscreen,t.useRuntimeCollisionCircles){const r=i.text.placedSymbolArray.get(t.centerJustifiedTextSymbolIndex),s=e.aj(i.textSizeData,m,r),f=a.get(\"text-padding\"),p=t.collisionCircleDiameter;B=this.collisionIndex.placeCollisionCircles(x,r,i.lineVertexArray,i.glyphOffsetArray,s,l,c,u,h,n,k,g.predicate,p,f,o,L),B.circles.length&&B.collisionDetected&&!n&&e.w(\"Collisions detected, but collision boxes are not shown\"),I=_||B.circles.length>0&&!B.collisionDetected,z=z&&B.offscreen}if(d.iconFeatureIndex&&(V=d.iconFeatureIndex),d.iconBox){const t=t=>this.collisionIndex.placeCollisionBox(t,b,f,l,c,k,T,s,g.predicate,L,A&&O?O:void 0);R&&R.placeable&&d.verticalIconBox?(N=t(d.verticalIconBox),P=N.placeable):(N=t(d.iconBox),P=N.placeable),z=z&&N.offscreen}const H=y||0===t.numHorizontalGlyphVertices&&0===t.numVerticalGlyphVertices,G=v||0===t.numIconVertices;H||G?G?H||(P=P&&I):I=P&&I:P=I=P&&I;const Z=I&&F.placeable,W=P&&N.placeable;if(Z&&(R&&R.placeable&&U?this.collisionIndex.insertCollisionBox(F.box,x,a.get(\"text-ignore-placement\"),i.bucketInstanceId,U,g.ID):this.collisionIndex.insertCollisionBox(F.box,x,a.get(\"text-ignore-placement\"),i.bucketInstanceId,j,g.ID)),W&&this.collisionIndex.insertCollisionBox(N.box,b,a.get(\"icon-ignore-placement\"),i.bucketInstanceId,V,g.ID),B&&I&&this.collisionIndex.insertCollisionCircles(B.circles,x,a.get(\"text-ignore-placement\"),i.bucketInstanceId,j,g.ID),n&&this.storeCollisionData(i.bucketInstanceId,w,d,F,N,B),0===t.crossTileID)throw new Error(\"symbolInstance.crossTileID can't be 0\");if(0===i.bucketInstanceId)throw new Error(\"bucket.bucketInstanceId can't be 0\");this.placements[t.crossTileID]=new Vt(I||S,P||E,z||i.justReloaded),r[t.crossTileID]=!0};if(M){if(0!==t.symbolInstanceStart)throw new Error(\"bucket.bucketInstanceId should be 0\");const e=i.getSortedSymbolIndexes(this.transform.angle);for(let t=e.length-1;t>=0;--t){const r=e[t];I(i.symbolInstances.get(r),i.collisionArrays[r],r)}}else for(let e=t.symbolInstanceStart;e<t.symbolInstanceEnd;e++)I(i.symbolInstances.get(e),i.collisionArrays[e],e);if(n&&i.bucketInstanceId in this.collisionCircleArrays){const t=this.collisionCircleArrays[i.bucketInstanceId];e.at(t.invProjMatrix,l),t.viewportMatrix=this.collisionIndex.getViewportMatrix()}i.justReloaded=!1}storeCollisionData(t,e,r,n,i,a){if(r.textBox||r.iconBox){let a,o;this.collisionBoxArrays.has(t)?a=this.collisionBoxArrays.get(t):(a=new Map,this.collisionBoxArrays.set(t,a)),a.has(e)?o=a.get(e):(o={text:null,icon:null},a.set(e,o)),r.textBox&&(o.text=n.box),r.iconBox&&(o.icon=i.box)}if(a){let e=this.collisionCircleArrays[t];void 0===e&&(e=this.collisionCircleArrays[t]=new qt);for(let t=0;t<a.circles.length;t+=4)e.circles.push(a.circles[t+0]),e.circles.push(a.circles[t+1]),e.circles.push(a.circles[t+2]),e.circles.push(a.collisionDetected?1:0)}}markUsedJustification(t,r,n,i){const a={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};let o;o=i===e.ai.vertical?n.verticalPlacedTextSymbolIndex:a[e.au(r)];const s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];for(const e of s)e>=0&&(t.text.placedSymbolArray.get(e).crossTileID=o>=0&&e!==o?0:n.crossTileID)}markUsedOrientation(t,r,n){const i=r===e.ai.horizontal||r===e.ai.horizontalOnly?r:0,a=r===e.ai.vertical?r:0,o=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];for(const e of o)t.text.placedSymbolArray.get(e).placedOrientation=i;n.verticalPlacedTextSymbolIndex&&(t.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=a)}commit(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;const e=this.prevPlacement;let r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;const n=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(const t in this.placements){const e=this.placements[t],a=i[t];a?(this.opacities[t]=new Ut(a,n,e.text,e.icon),r=r||e.text!==a.text.placed||e.icon!==a.icon.placed):(this.opacities[t]=new Ut(null,n,e.text,e.icon,e.skipFade),r=r||e.text||e.icon)}for(const t in i){const e=i[t];if(!this.opacities[t]){const i=new Ut(e,n,!1,!1);i.isHidden()||(this.opacities[t]=i,r=r||e.text.placed||e.icon.placed)}}for(const t in a)this.variableOffsets[t]||!this.opacities[t]||this.opacities[t].isHidden()||(this.variableOffsets[t]=a[t]);for(const t in o)this.placedOrientations[t]||!this.opacities[t]||this.opacities[t].isHidden()||(this.placedOrientations[t]=o[t]);if(e&&void 0===e.lastPlacementChangeTime)throw new Error(\"Last placement time for previous placement is not defined\");r?this.lastPlacementChangeTime=t:\"number\"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)}updateLayerOpacities(t,e){const r={};for(const n of e){const e=n.getBucket(t);e&&n.latestFeatureIndex&&t.id===e.layerIds[0]&&this.updateBucketOpacities(e,n.tileID,r,n.collisionBoxArray)}}updateBucketOpacities(t,r,n,i){t.hasTextData()&&(t.text.opacityVertexArray.clear(),t.text.hasVisibleVertices=!1),t.hasIconData()&&(t.icon.opacityVertexArray.clear(),t.icon.hasVisibleVertices=!1),t.hasIconCollisionBoxData()&&t.iconCollisionBox.collisionVertexArray.clear(),t.hasTextCollisionBoxData()&&t.textCollisionBox.collisionVertexArray.clear();const a=t.layers[0],o=a.layout,s=new Ut(null,0,!1,!1,!0),l=o.get(\"text-allow-overlap\"),c=o.get(\"icon-allow-overlap\"),u=a._unevaluatedLayout.hasValue(\"text-variable-anchor\")||a._unevaluatedLayout.hasValue(\"text-variable-anchor-offset\"),h=\"map\"===o.get(\"text-rotation-alignment\"),f=\"map\"===o.get(\"text-pitch-alignment\"),p=\"none\"!==o.get(\"icon-text-fit\"),d=new Ut(null,0,l&&(c||!t.hasIconData()||o.get(\"icon-optional\")),c&&(l||!t.hasTextData()||o.get(\"text-optional\")),!0);!t.collisionArrays&&i&&(t.hasIconCollisionBoxData()||t.hasTextCollisionBoxData())&&t.deserializeCollisionBoxes(i);const m=(t,e,r)=>{for(let n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r);t.hasVisibleVertices=t.hasVisibleVertices||r!==ne},g=this.collisionBoxArrays.get(t.bucketInstanceId);for(let r=0;r<t.symbolInstances.length;r++){const i=t.symbolInstances.get(r),{numHorizontalGlyphVertices:a,numVerticalGlyphVertices:o,crossTileID:l}=i,c=n[l];let y=this.opacities[l];c?y=s:y||(y=d,this.opacities[l]=y),n[l]=!0;const v=a>0||o>0,x=i.numIconVertices>0,_=this.placedOrientations[i.crossTileID],b=_===e.ai.vertical,w=_===e.ai.horizontal||_===e.ai.horizontalOnly;if(v){const e=re(y.text),r=b?ne:e;m(t.text,a,r);const n=w?ne:e;m(t.text,o,n);const s=y.text.isHidden();[i.rightJustifiedTextSymbolIndex,i.centerJustifiedTextSymbolIndex,i.leftJustifiedTextSymbolIndex].forEach((e=>{e>=0&&(t.text.placedSymbolArray.get(e).hidden=s||b?1:0)})),i.verticalPlacedTextSymbolIndex>=0&&(t.text.placedSymbolArray.get(i.verticalPlacedTextSymbolIndex).hidden=s||w?1:0);const l=this.variableOffsets[i.crossTileID];l&&this.markUsedJustification(t,l.anchor,i,_);const c=this.placedOrientations[i.crossTileID];c&&(this.markUsedJustification(t,\"left\",i,c),this.markUsedOrientation(t,c,i))}if(x){const e=re(y.icon),r=!(p&&i.verticalPlacedIconSymbolIndex&&b);if(i.placedIconSymbolIndex>=0){const n=r?e:ne;m(t.icon,i.numIconVertices,n),t.icon.placedSymbolArray.get(i.placedIconSymbolIndex).hidden=y.icon.isHidden()}if(i.verticalPlacedIconSymbolIndex>=0){const n=r?ne:e;m(t.icon,i.numVerticalIconVertices,n),t.icon.placedSymbolArray.get(i.verticalPlacedIconSymbolIndex).hidden=y.icon.isHidden()}}const T=g&&g.has(r)?g.get(r):{text:null,icon:null};if(t.hasIconCollisionBoxData()||t.hasTextCollisionBoxData()){const n=t.collisionArrays[r];if(n){let r=new e.P(0,0);if(n.textBox||n.verticalTextBox){let e=!0;if(u){const t=this.variableOffsets[l];t?(r=Zt(t.anchor,t.width,t.height,t.textOffset,t.textBoxScale),h&&r._rotate(f?this.transform.angle:-this.transform.angle)):e=!1}if(n.textBox||n.verticalTextBox){let i;n.textBox&&(i=b),n.verticalTextBox&&(i=w),Yt(t.textCollisionBox.collisionVertexArray,y.text.placed,!e||i,T.text,r.x,r.y)}}if(n.iconBox||n.verticalIconBox){const e=Boolean(!w&&n.verticalIconBox);let i;n.iconBox&&(i=e),n.verticalIconBox&&(i=!e),Yt(t.iconCollisionBox.collisionVertexArray,y.icon.placed,i,T.icon,p?r.x:0,p?r.y:0)}}}}if(t.sortFeatures(this.transform.angle),this.retainedQueryData[t.bucketInstanceId]&&(this.retainedQueryData[t.bucketInstanceId].featureSortOrder=t.featureSortOrder),t.hasTextData()&&t.text.opacityVertexBuffer&&t.text.opacityVertexBuffer.updateData(t.text.opacityVertexArray),t.hasIconData()&&t.icon.opacityVertexBuffer&&t.icon.opacityVertexBuffer.updateData(t.icon.opacityVertexArray),t.hasIconCollisionBoxData()&&t.iconCollisionBox.collisionVertexBuffer&&t.iconCollisionBox.collisionVertexBuffer.updateData(t.iconCollisionBox.collisionVertexArray),t.hasTextCollisionBoxData()&&t.textCollisionBox.collisionVertexBuffer&&t.textCollisionBox.collisionVertexBuffer.updateData(t.textCollisionBox.collisionVertexArray),t.text.opacityVertexArray.length!==t.text.layoutVertexArray.length/4)throw new Error(`bucket.text.opacityVertexArray.length (= ${t.text.opacityVertexArray.length}) !== bucket.text.layoutVertexArray.length (= ${t.text.layoutVertexArray.length}) / 4`);if(t.icon.opacityVertexArray.length!==t.icon.layoutVertexArray.length/4)throw new Error(`bucket.icon.opacityVertexArray.length (= ${t.icon.opacityVertexArray.length}) !== bucket.icon.layoutVertexArray.length (= ${t.icon.layoutVertexArray.length}) / 4`);if(t.bucketInstanceId in this.collisionCircleArrays){const e=this.collisionCircleArrays[t.bucketInstanceId];t.placementInvProjMatrix=e.invProjMatrix,t.placementViewportMatrix=e.viewportMatrix,t.collisionCircleArray=e.circles,delete this.collisionCircleArrays[t.bucketInstanceId]}}symbolFadeChange(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment}zoomAdjustment(t){return Math.max(0,(this.transform.zoom-t)/1.5)}hasTransitions(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration}stillRecent(t,e){const r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t}setStale(){this.stale=!0}}function Yt(t,e,r,n,i,a){n&&0!==n.length||(n=[0,0,0,0]);const o=n[0]-Ft,s=n[1]-Ft,l=n[2]-Ft,c=n[3]-Ft;t.emplaceBack(e?1:0,r?1:0,i||0,a||0,o,s),t.emplaceBack(e?1:0,r?1:0,i||0,a||0,l,s),t.emplaceBack(e?1:0,r?1:0,i||0,a||0,l,c),t.emplaceBack(e?1:0,r?1:0,i||0,a||0,o,c)}const Xt=Math.pow(2,25),$t=Math.pow(2,24),Jt=Math.pow(2,17),Kt=Math.pow(2,16),Qt=Math.pow(2,9),te=Math.pow(2,8),ee=Math.pow(2,1);function re(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;const e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*Xt+e*$t+r*Jt+e*Kt+r*Qt+e*te+r*ee+e}const ne=0;function ie(){return{isOccluded(t,e,r){return!1},getPitchedTextCorrection(t,e,r){return 1},get useSpecialProjectionForSymbols(){return!1},projectTileCoordinates(t,e,r,n){throw new Error(\"Not implemented.\")},translatePosition(t,e,r,n){return function(t,e,r,n,i=!1){if(!r[0]&&!r[1])return[0,0];const a=i?\"map\"===n?t.angle:0:\"viewport\"===n?-t.angle:0;if(a){const t=Math.sin(a),e=Math.cos(a);r=[r[0]*e-r[1]*t,r[0]*t+r[1]*e]}return[i?r[0]:Nt(e,r[0],t.zoom),i?r[1]:Nt(e,r[1],t.zoom)]}(t,e,r,n)},getCircleRadiusCorrection(t){return 1}}}class ae{constructor(t){this._sortAcrossTiles=\"viewport-y\"!==t.layout.get(\"symbol-z-order\")&&!t.layout.get(\"symbol-sort-key\").isConstant(),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]}continuePlacement(t,e,r,n,i){const a=this._bucketParts;for(;this._currentTileIndex<t.length;){const r=t[this._currentTileIndex];if(e.getBucketParts(a,n,r,this._sortAcrossTiles),this._currentTileIndex++,i())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,a.sort(((t,e)=>t.sortKey-e.sortKey)));this._currentPartIndex<a.length;){const t=a[this._currentPartIndex];if(e.placeLayerBucketPart(t,this._seenCrossTileIDs,r),this._currentPartIndex++,i())return!0}return!1}}class oe{constructor(t,e,r,n,i,a,o,s){this.placement=new Wt(t,ie(),e,a,o,s),this._currentPlacementIndex=r.length-1,this._forceFullPlacement=n,this._showCollisionBoxes=i,this._done=!1}isDone(){return this._done}continuePlacement(t,e,r){const n=a.now(),i=()=>!this._forceFullPlacement&&a.now()-n>2;for(;this._currentPlacementIndex>=0;){const n=e[t[this._currentPlacementIndex]],a=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===n.type&&(!n.minzoom||n.minzoom<=a)&&(!n.maxzoom||n.maxzoom>a)){if(this._inProgressLayer||(this._inProgressLayer=new ae(n)),this._inProgressLayer.continuePlacement(r[n.source],this.placement,this._showCollisionBoxes,n,i))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0}commit(t){return this.placement.commit(t),this.placement}}const se=512/e.X/2;class le{constructor(t,r,n){this.tileID=t,this.bucketInstanceId=n,this._symbolsByKey={};const i=new Map;for(let t=0;t<r.length;t++){const e=r.get(t),n=e.key,a=i.get(n);a?a.push(e):i.set(n,[e])}for(const[t,r]of i){const n={positions:r.map((t=>({x:Math.floor(t.anchorX*se),y:Math.floor(t.anchorY*se)}))),crossTileIDs:r.map((t=>t.crossTileID))};if(n.positions.length>128){const t=new e.aw(n.positions.length,16,Uint16Array);for(const{x:e,y:r}of n.positions)t.add(e,r);t.finish(),delete n.positions,n.index=t}this._symbolsByKey[t]=n}}getScaledCoordinates(t,r){const{x:n,y:i,z:a}=this.tileID.canonical,{x:o,y:s,z:l}=r.canonical,c=l-a,u=se/Math.pow(2,c),h=(o*e.X+t.anchorX)*u,f=(s*e.X+t.anchorY)*u,p=n*e.X*se,d=i*e.X*se;return{x:Math.floor(h-p),y:Math.floor(f-d)}}findMatches(t,e,r){const n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z);for(let i=0;i<t.length;i++){const a=t.get(i);if(a.crossTileID)continue;const o=this._symbolsByKey[a.key];if(!o)continue;const s=this.getScaledCoordinates(a,e);if(o.index){const t=o.index.range(s.x-n,s.y-n,s.x+n,s.y+n).sort();for(const e of t){const t=o.crossTileIDs[e];if(!r[t]){r[t]=!0,a.crossTileID=t;break}}}else if(o.positions)for(let t=0;t<o.positions.length;t++){const e=o.positions[t],i=o.crossTileIDs[t];if(Math.abs(e.x-s.x)<=n&&Math.abs(e.y-s.y)<=n&&!r[i]){r[i]=!0,a.crossTileID=i;break}}}}getCrossTileIDsLists(){return Object.values(this._symbolsByKey).map((({crossTileIDs:t})=>t))}}class ce{constructor(){this.maxCrossTileID=0}generate(){return++this.maxCrossTileID}}class ue{constructor(){this.indexes={},this.usedCrossTileIDs={},this.lng=0}handleWrapJump(t){const e=Math.round((t-this.lng)/360);if(0!==e)for(const t in this.indexes){const r=this.indexes[t],n={};for(const t in r){const i=r[t];i.tileID=i.tileID.unwrapTo(i.tileID.wrap+e),n[i.tileID.key]=i}this.indexes[t]=n}this.lng=t}addBucket(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(let t=0;t<e.symbolInstances.length;t++)e.symbolInstances.get(t).crossTileID=0;this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});const n=this.usedCrossTileIDs[t.overscaledZ];for(const r in this.indexes){const i=this.indexes[r];if(Number(r)>t.overscaledZ)for(const r in i){const a=i[r];a.tileID.isChildOf(t)&&a.findMatches(e.symbolInstances,t,n)}else{const a=i[t.scaledTo(Number(r)).key];a&&a.findMatches(e.symbolInstances,t,n)}}for(let t=0;t<e.symbolInstances.length;t++){const i=e.symbolInstances.get(t);i.crossTileID||(i.crossTileID=r.generate(),n[i.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new le(t,e.symbolInstances,e.bucketInstanceId),!0}removeBucketCrossTileIDs(t,e){for(const r of e.getCrossTileIDsLists())for(const e of r)delete this.usedCrossTileIDs[t][e]}removeStaleBuckets(t){let e=!1;for(const r in this.indexes){const n=this.indexes[r];for(const i in n)t[n[i].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[i]),delete n[i],e=!0)}return e}}class he{constructor(){this.layerIndexes={},this.crossTileIDs=new ce,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}}addLayer(t,e,r){let n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new ue);let i=!1;const a={};n.handleWrapJump(r);for(const r of e){const e=r.getBucket(t);e&&t.id===e.layerIds[0]&&(e.bucketInstanceId||(e.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(r.tileID,e,this.crossTileIDs)&&(i=!0),a[e.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i}pruneUnusedLayers(t){const e={};t.forEach((t=>{e[t]=!0}));for(const t in this.layerIndexes)e[t]||delete this.layerIndexes[t]}}const fe=(t,r)=>e.t(t,r&&r.filter((t=>\"source.canvas\"!==t.identifier))),pe=e.ax();class de extends e.E{constructor(t,r={}){super(),this._rtlPluginLoaded=()=>{for(const t in this.sourceCaches){const e=this.sourceCaches[t].getSource().type;\"vector\"!==e&&\"geojson\"!==e||this.sourceCaches[t].reload()}},this.map=t,this.dispatcher=new q(V(),t._getMapId()),this.dispatcher.registerMessageHandler(\"GG\",((t,e)=>this.getGlyphs(t,e))),this.dispatcher.registerMessageHandler(\"GI\",((t,e)=>this.getImages(t,e))),this.imageManager=new k,this.imageManager.setEventedParent(this),this.glyphManager=new E(t._requestManager,r.localIdeographFontFamily),this.lineAtlas=new R(256,512),this.crossTileSymbolIndex=new he,this._spritesImagesIds={},this._layers={},this._order=[],this.sourceCaches={},this.zoomHistory=new e.ay,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"SR\",e.az()),ut().on(st,this._rtlPluginLoaded),this.on(\"data\",(t=>{if(\"source\"!==t.dataType||\"metadata\"!==t.sourceDataType)return;const e=this.sourceCaches[t.sourceId];if(!e)return;const r=e.getSource();if(r&&r.vectorLayerIds)for(const t in this._layers){const e=this._layers[t];e.source===r.id&&this._validateLayer(e)}}))}loadURL(t,r={},n){this.fire(new e.k(\"dataloading\",{dataType:\"style\"})),r.validate=\"boolean\"!=typeof r.validate||r.validate;const i=this.map._requestManager.transformRequest(t,\"Style\");this._loadStyleRequest=new AbortController;const a=this._loadStyleRequest;e.h(i,this._loadStyleRequest).then((t=>{this._loadStyleRequest=null,this._load(t.data,r,n)})).catch((t=>{this._loadStyleRequest=null,t&&!a.signal.aborted&&this.fire(new e.j(t))}))}loadJSON(t,r={},n){this.fire(new e.k(\"dataloading\",{dataType:\"style\"})),this._frameRequest=new AbortController,a.frameAsync(this._frameRequest).then((()=>{this._frameRequest=null,r.validate=!1!==r.validate,this._load(t,r,n)})).catch((()=>{}))}loadEmpty(){this.fire(new e.k(\"dataloading\",{dataType:\"style\"})),this._load(pe,{validate:!1})}_load(t,r,n){var i;const a=r.transformStyle?r.transformStyle(n,t):t;if(!r.validate||!fe(this,e.x(a))){this._loaded=!0,this.stylesheet=a;for(const t in a.sources)this.addSource(t,a.sources[t],{validate:!1});a.sprite?this._loadSprite(a.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(a.glyphs),this._createLayers(),this.light=new P(this.stylesheet.light),this.sky=new D(this.stylesheet.sky),this.map.setTerrain(null!==(i=this.stylesheet.terrain)&&void 0!==i?i:null),this.fire(new e.k(\"data\",{dataType:\"style\"})),this.fire(new e.k(\"style.load\"))}}_createLayers(){const t=e.aA(this.stylesheet.layers);this.dispatcher.broadcast(\"SL\",t),this._order=t.map((t=>t.id)),this._layers={},this._serializedLayers=null;for(const r of t){const t=e.aB(r);t.setEventedParent(this,{layer:{id:r.id}}),this._layers[r.id]=t}}_loadSprite(t,r=!1,n=void 0){let i;this.imageManager.setLoaded(!1),this._spriteRequest=new AbortController,b(t,this.map._requestManager,this.map.getPixelRatio(),this._spriteRequest).then((t=>{if(this._spriteRequest=null,t)for(const e in t){this._spritesImagesIds[e]=[];const n=this._spritesImagesIds[e]?this._spritesImagesIds[e].filter((e=>!(e in t))):[];for(const t of n)this.imageManager.removeImage(t),this._changedImages[t]=!0;for(const n in t[e]){const i=\"default\"===e?n:`${e}:${n}`;this._spritesImagesIds[e].push(i),i in this.imageManager.images?this.imageManager.updateImage(i,t[e][n],!1):this.imageManager.addImage(i,t[e][n]),r&&(this._changedImages[i]=!0)}}})).catch((t=>{this._spriteRequest=null,i=t,this.fire(new e.j(i))})).finally((()=>{this.imageManager.setLoaded(!0),this._availableImages=this.imageManager.listImages(),r&&(this._changed=!0),this.dispatcher.broadcast(\"SI\",this._availableImages),this.fire(new e.k(\"data\",{dataType:\"style\"})),n&&n(i)}))}_unloadSprite(){for(const t of Object.values(this._spritesImagesIds).flat())this.imageManager.removeImage(t),this._changedImages[t]=!0;this._spritesImagesIds={},this._availableImages=this.imageManager.listImages(),this._changed=!0,this.dispatcher.broadcast(\"SI\",this._availableImages),this.fire(new e.k(\"data\",{dataType:\"style\"}))}_validateLayer(t){const r=this.sourceCaches[t.source];if(!r)return;const n=t.sourceLayer;if(!n)return;const i=r.getSource();(\"geojson\"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new e.j(new Error(`Source layer \"${n}\" does not exist on source \"${i.id}\" as specified by style layer \"${t.id}\".`)))}loaded(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(const t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()}_serializeByIds(t){const e=this._serializedAllLayers();if(!t||0===t.length)return Object.values(e);const r=[];for(const n of t)e[n]&&r.push(e[n]);return r}_serializedAllLayers(){let t=this._serializedLayers;if(t)return t;t=this._serializedLayers={};const e=Object.keys(this._layers);for(const r of e){const e=this._layers[r];\"custom\"!==e.type&&(t[r]=e.serialize())}return t}hasTransitions(){if(this.light&&this.light.hasTransition())return!0;if(this.sky&&this.sky.hasTransition())return!0;for(const t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(const t in this._layers)if(this._layers[t].hasTransition())return!0;return!1}_checkLoaded(){if(!this._loaded)throw new Error(\"Style is not done loading.\")}update(t){if(!this._loaded)return;const r=this._changed;if(r){const e=Object.keys(this._updatedLayers),r=Object.keys(this._removedLayers);(e.length||r.length)&&this._updateWorkerLayers(e,r);for(const t in this._updatedSources){const e=this._updatedSources[t];if(\"reload\"===e)this._reloadSource(t);else{if(\"clear\"!==e)throw new Error(`Invalid action ${e}`);this._clearSource(t)}}this._updateTilesForChangedImages(),this._updateTilesForChangedGlyphs();for(const e in this._updatedPaintProps)this._layers[e].updateTransitions(t);this.light.updateTransitions(t),this.sky.updateTransitions(t),this._resetUpdates()}const n={};for(const t in this.sourceCaches){const e=this.sourceCaches[t];n[t]=e.used,e.used=!1}for(const e of this._order){const r=this._layers[e];r.recalculate(t,this._availableImages),!r.isHidden(t.zoom)&&r.source&&(this.sourceCaches[r.source].used=!0)}for(const t in n){const r=this.sourceCaches[t];!!n[t]!=!!r.used&&r.fire(new e.k(\"data\",{sourceDataType:\"visibility\",dataType:\"source\",sourceId:t}))}this.light.recalculate(t),this.sky.recalculate(t),this.z=t.zoom,r&&this.fire(new e.k(\"data\",{dataType:\"style\"}))}_updateTilesForChangedImages(){const t=Object.keys(this._changedImages);if(t.length){for(const e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies([\"icons\",\"patterns\"],t);this._changedImages={}}}_updateTilesForChangedGlyphs(){if(this._glyphsDidChange){for(const t in this.sourceCaches)this.sourceCaches[t].reloadTilesForDependencies([\"glyphs\"],[\"\"]);this._glyphsDidChange=!1}}_updateWorkerLayers(t,e){this.dispatcher.broadcast(\"UL\",{layers:this._serializeByIds(t),removedIds:e})}_resetUpdates(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={},this._glyphsDidChange=!1}setState(t,r={}){var n;this._checkLoaded();const i=this.serialize();if(t=r.transformStyle?r.transformStyle(i,t):t,(null===(n=r.validate)||void 0===n||n)&&fe(this,e.x(t)))return!1;(t=e.aC(t)).layers=e.aA(t.layers);const a=e.aD(i,t),o=this._getOperationsToPerform(a);if(o.unimplemented.length>0)throw new Error(`Unimplemented: ${o.unimplemented.join(\", \")}.`);if(0===o.operations.length)return!1;for(const t of o.operations)t();return this.stylesheet=t,this._serializedLayers=null,!0}_getOperationsToPerform(t){const e=[],r=[];for(const n of t)switch(n.command){case\"setCenter\":case\"setZoom\":case\"setBearing\":case\"setPitch\":continue;case\"addLayer\":e.push((()=>this.addLayer.apply(this,n.args)));break;case\"removeLayer\":e.push((()=>this.removeLayer.apply(this,n.args)));break;case\"setPaintProperty\":e.push((()=>this.setPaintProperty.apply(this,n.args)));break;case\"setLayoutProperty\":e.push((()=>this.setLayoutProperty.apply(this,n.args)));break;case\"setFilter\":e.push((()=>this.setFilter.apply(this,n.args)));break;case\"addSource\":e.push((()=>this.addSource.apply(this,n.args)));break;case\"removeSource\":e.push((()=>this.removeSource.apply(this,n.args)));break;case\"setLayerZoomRange\":e.push((()=>this.setLayerZoomRange.apply(this,n.args)));break;case\"setLight\":e.push((()=>this.setLight.apply(this,n.args)));break;case\"setGeoJSONSourceData\":e.push((()=>this.setGeoJSONSourceData.apply(this,n.args)));break;case\"setGlyphs\":e.push((()=>this.setGlyphs.apply(this,n.args)));break;case\"setSprite\":e.push((()=>this.setSprite.apply(this,n.args)));break;case\"setSky\":e.push((()=>this.setSky.apply(this,n.args)));break;case\"setTerrain\":e.push((()=>this.map.setTerrain.apply(this,n.args)));break;case\"setTransition\":e.push((()=>{}));break;default:r.push(n.command)}return{operations:e,unimplemented:r}}addImage(t,r){if(this.getImage(t))return this.fire(new e.j(new Error(`An image named \"${t}\" already exists.`)));this.imageManager.addImage(t,r),this._afterImageUpdated(t)}updateImage(t,e){this.imageManager.updateImage(t,e)}getImage(t){return this.imageManager.getImage(t)}removeImage(t){if(!this.getImage(t))return this.fire(new e.j(new Error(`An image named \"${t}\" does not exist.`)));this.imageManager.removeImage(t),this._afterImageUpdated(t)}_afterImageUpdated(t){this._availableImages=this.imageManager.listImages(),this._changedImages[t]=!0,this._changed=!0,this.dispatcher.broadcast(\"SI\",this._availableImages),this.fire(new e.k(\"data\",{dataType:\"style\"}))}listImages(){return this._checkLoaded(),this.imageManager.listImages()}addSource(t,r,n={}){if(this._checkLoaded(),void 0!==this.sourceCaches[t])throw new Error(`Source \"${t}\" already exists.`);if(!r.type)throw new Error(`The type property must be defined, but only the following properties were given: ${Object.keys(r).join(\", \")}.`);if([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0&&this._validate(e.x.source,`sources.${t}`,r,null,n))return;this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);const i=this.sourceCaches[t]=new dt(t,r,this.dispatcher);i.style=this,i.setEventedParent(this,(()=>({isSourceLoaded:i.loaded(),source:i.serialize(),sourceId:t}))),i.onAdd(this.map),this._changed=!0}removeSource(t){if(this._checkLoaded(),void 0===this.sourceCaches[t])throw new Error(\"There is no source with this ID\");for(const r in this._layers)if(this._layers[r].source===t)return this.fire(new e.j(new Error(`Source \"${t}\" cannot be removed while layer \"${r}\" is using it.`)));const r=this.sourceCaches[t];delete this.sourceCaches[t],delete this._updatedSources[t],r.fire(new e.k(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:t})),r.setEventedParent(null),r.onRemove(this.map),this._changed=!0}setGeoJSONSourceData(t,e){if(this._checkLoaded(),void 0===this.sourceCaches[t])throw new Error(`There is no source with this ID=${t}`);const r=this.sourceCaches[t].getSource();if(\"geojson\"!==r.type)throw new Error(`geojsonSource.type is ${r.type}, which is !== 'geojson`);r.setData(e),this._changed=!0}getSource(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()}addLayer(t,r,n={}){this._checkLoaded();const i=t.id;if(this.getLayer(i))return void this.fire(new e.j(new Error(`Layer \"${i}\" already exists on this map.`)));let a;if(\"custom\"===t.type){if(fe(this,e.aE(t)))return;a=e.aB(t)}else{if(\"source\"in t&&\"object\"==typeof t.source&&(this.addSource(i,t.source),t=e.aC(t),t=e.e(t,{source:i})),this._validate(e.x.layer,`layers.${i}`,t,{arrayIndex:-1},n))return;a=e.aB(t),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}})}const o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new e.j(new Error(`Cannot add layer \"${i}\" before non-existing layer \"${r}\".`)));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&\"custom\"!==a.type){const t=this._removedLayers[i];delete this._removedLayers[i],t.type!==a.type?this._updatedSources[a.source]=\"clear\":(this._updatedSources[a.source]=\"reload\",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}moveLayer(t,r){if(this._checkLoaded(),this._changed=!0,!this._layers[t])return void this.fire(new e.j(new Error(`The layer '${t}' does not exist in the map's style and cannot be moved.`)));if(t===r)return;const n=this._order.indexOf(t);this._order.splice(n,1);const i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new e.j(new Error(`Cannot move layer \"${t}\" before non-existing layer \"${r}\".`))):(this._order.splice(i,0,t),this._layerOrderChanged=!0)}removeLayer(t){this._checkLoaded();const r=this._layers[t];if(!r)return void this.fire(new e.j(new Error(`Cannot remove non-existing layer \"${t}\".`)));r.setEventedParent(null);const n=this._order.indexOf(t);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[t]=r,delete this._layers[t],this._serializedLayers&&delete this._serializedLayers[t],delete this._updatedLayers[t],delete this._updatedPaintProps[t],r.onRemove&&r.onRemove(this.map)}getLayer(t){return this._layers[t]}getLayersOrder(){return[...this._order]}hasLayer(t){return t in this._layers}setLayerZoomRange(t,r,n){this._checkLoaded();const i=this.getLayer(t);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new e.j(new Error(`Cannot set the zoom range of non-existing layer \"${t}\".`)))}setFilter(t,r,n={}){this._checkLoaded();const i=this.getLayer(t);if(i){if(!e.aF(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(e.x.filter,`layers.${i.id}.filter`,r,null,n)||(i.filter=e.aC(r),this._updateLayer(i)))}else this.fire(new e.j(new Error(`Cannot filter non-existing layer \"${t}\".`)))}getFilter(t){return e.aC(this.getLayer(t).filter)}setLayoutProperty(t,r,n,i={}){this._checkLoaded();const a=this.getLayer(t);a?e.aF(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new e.j(new Error(`Cannot style non-existing layer \"${t}\".`)))}getLayoutProperty(t,r){const n=this.getLayer(t);if(n)return n.getLayoutProperty(r);this.fire(new e.j(new Error(`Cannot get style of non-existing layer \"${t}\".`)))}setPaintProperty(t,r,n,i={}){this._checkLoaded();const a=this.getLayer(t);a?e.aF(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[t]=!0,this._serializedLayers=null):this.fire(new e.j(new Error(`Cannot style non-existing layer \"${t}\".`)))}getPaintProperty(t,e){return this.getLayer(t).getPaintProperty(e)}setFeatureState(t,r){this._checkLoaded();const n=t.source,i=t.sourceLayer,a=this.sourceCaches[n];if(void 0===a)return void this.fire(new e.j(new Error(`The source '${n}' does not exist in the map's style.`)));const o=a.getSource().type;\"geojson\"===o&&i?this.fire(new e.j(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==o||i?(void 0===t.id&&this.fire(new e.j(new Error(\"The feature id parameter must be provided.\"))),a.setFeatureState(i,t.id,r)):this.fire(new e.j(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}removeFeatureState(t,r){this._checkLoaded();const n=t.source,i=this.sourceCaches[n];if(void 0===i)return void this.fire(new e.j(new Error(`The source '${n}' does not exist in the map's style.`)));const a=i.getSource().type,o=\"vector\"===a?t.sourceLayer:void 0;\"vector\"!==a||o?r&&\"string\"!=typeof t.id&&\"number\"!=typeof t.id?this.fire(new e.j(new Error(\"A feature id is required to remove its specific state property.\"))):i.removeFeatureState(o,t.id,r):this.fire(new e.j(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}getFeatureState(t){this._checkLoaded();const r=t.source,n=t.sourceLayer,i=this.sourceCaches[r];if(void 0!==i)return\"vector\"!==i.getSource().type||n?(void 0===t.id&&this.fire(new e.j(new Error(\"The feature id parameter must be provided.\"))),i.getFeatureState(n,t.id)):void this.fire(new e.j(new Error(\"The sourceLayer parameter must be provided for vector source types.\")));this.fire(new e.j(new Error(`The source '${r}' does not exist in the map's style.`)))}getTransition(){return e.e({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)}serialize(){if(!this._loaded)return;const t=e.aG(this.sourceCaches,(t=>t.serialize())),r=this._serializeByIds(this._order),n=this.map.getTerrain()||void 0,i=this.stylesheet;return e.aH({version:i.version,name:i.name,metadata:i.metadata,light:i.light,sky:i.sky,center:i.center,zoom:i.zoom,bearing:i.bearing,pitch:i.pitch,sprite:i.sprite,glyphs:i.glyphs,transition:i.transition,sources:t,layers:r,terrain:n},(t=>void 0!==t))}_updateLayer(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&\"raster\"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]=\"reload\",this.sourceCaches[t.source].pause()),this._serializedLayers=null,this._changed=!0}_flattenAndSortRenderedFeatures(t){const e=t=>\"fill-extrusion\"===this._layers[t].type,r={},n=[];for(let i=this._order.length-1;i>=0;i--){const a=this._order[i];if(e(a)){r[a]=i;for(const e of t){const t=e[a];if(t)for(const e of t)n.push(e)}}}n.sort(((t,e)=>e.intersectionZ-t.intersectionZ));const i=[];for(let a=this._order.length-1;a>=0;a--){const o=this._order[a];if(e(o))for(let t=n.length-1;t>=0;t--){const e=n[t].feature;if(r[e.layer.id]<a)break;i.push(e),n.pop()}else for(const e of t){const t=e[o];if(t)for(const e of t)i.push(e.feature)}}return i}queryRenderedFeatures(t,r,n){r&&r.filter&&this._validate(e.x.filter,\"queryRenderedFeatures.filter\",r.filter,null,r);const i={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new e.j(new Error(\"parameters.layers must be an Array.\"))),[];for(const t of r.layers){const r=this._layers[t];if(!r)return this.fire(new e.j(new Error(`The layer '${t}' does not exist in the map's style and cannot be queried for features.`))),[];i[r.source]=!0}}const a=[];r.availableImages=this._availableImages;const o=this._serializedAllLayers();for(const e in this.sourceCaches)r.layers&&!i[e]||a.push(Z(this.sourceCaches[e],this._layers,o,t,r,n));return this.placement&&a.push(function(t,e,r,n,i,a,o){const s={},l=a.queryRenderedSymbols(n),c=[];for(const t of Object.keys(l).map(Number))c.push(o[t]);c.sort(W);for(const r of c){const n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,i.filter,i.layers,i.availableImages,t);for(const t in n){const e=s[t]=s[t]||[],i=n[t];i.sort(((t,e)=>{const n=r.featureSortOrder;if(n){const r=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-r}return e.featureIndex-t.featureIndex}));for(const t of i)e.push(t)}}for(const e in s)s[e].forEach((n=>{const i=n.feature,a=t[e],o=r[a.source].getFeatureState(i.layer[\"source-layer\"],i.id);i.source=i.layer.source,i.layer[\"source-layer\"]&&(i.sourceLayer=i.layer[\"source-layer\"]),i.state=o}));return s}(this._layers,o,this.sourceCaches,t,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(a)}querySourceFeatures(t,r){r&&r.filter&&this._validate(e.x.filter,\"querySourceFeatures.filter\",r.filter,null,r);const n=this.sourceCaches[t];return n?function(t,e){const r=t.getRenderableIds().map((e=>t.getTileByID(e))),n=[],i={};for(let t=0;t<r.length;t++){const a=r[t],o=a.tileID.canonical.key;i[o]||(i[o]=!0,a.querySourceFeatures(n,e))}return n}(n,r):[]}getLight(){return this.light.getLight()}setLight(t,r={}){this._checkLoaded();const n=this.light.getLight();let i=!1;for(const r in t)if(!e.aF(t[r],n[r])){i=!0;break}if(!i)return;const o={now:a.now(),transition:e.e({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(t,r),this.light.updateTransitions(o)}getSky(){var t;return null===(t=this.stylesheet)||void 0===t?void 0:t.sky}setSky(t,r={}){const n=this.sky.getSky();let i=!1;t||n&&(i=!0);for(const r in t)if(!e.aF(t[r],n[r])){i=!0;break}if(!i)return;const o={now:a.now(),transition:e.e({duration:300,delay:0},this.stylesheet.transition)};this.stylesheet.sky=t,this.sky.setSky(t,r),this.sky.updateTransitions(o)}_validate(t,r,n,i,a={}){return(!a||!1!==a.validate)&&fe(this,t.call(e.x,e.e({key:r,style:this.serialize(),value:n,styleSpec:e.v},i)))}_remove(t=!0){this._frameRequest&&(this._frameRequest.abort(),this._frameRequest=null),this._loadStyleRequest&&(this._loadStyleRequest.abort(),this._loadStyleRequest=null),this._spriteRequest&&(this._spriteRequest.abort(),this._spriteRequest=null),ut().off(st,this._rtlPluginLoaded);for(const t in this._layers)this._layers[t].setEventedParent(null);for(const t in this.sourceCaches){const e=this.sourceCaches[t];e.setEventedParent(null),e.onRemove(this.map)}this.imageManager.setEventedParent(null),this.setEventedParent(null),t&&this.dispatcher.broadcast(\"RM\",void 0),this.dispatcher.remove(t)}_clearSource(t){this.sourceCaches[t].clearTiles()}_reloadSource(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()}_updateSources(t){for(const e in this.sourceCaches)this.sourceCaches[e].update(t,this.map.terrain)}_generateCollisionBoxes(){for(const t in this.sourceCaches)this._reloadSource(t)}_updatePlacement(t,e,r,n,i=!1){let o=!1,s=!1;const l={};for(const e of this._order){const r=this._layers[e];if(\"symbol\"!==r.type)continue;if(!l[r.source]){const t=this.sourceCaches[r.source];l[r.source]=t.getRenderableIds(!0).map((e=>t.getTileByID(e))).sort(((t,e)=>e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)))}const n=this.crossTileSymbolIndex.addLayer(r,l[r.source],t.center.lng);o=o||n}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((i=i||this._layerOrderChanged||0===r)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(a.now(),t.zoom))&&(this.pauseablePlacement=new oe(t,this.map.terrain,this._order,i,e,r,n,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(a.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(const t of this._order){const e=this._layers[t];\"symbol\"===e.type&&this.placement.updateLayerOpacities(e,l[e.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(a.now())}_releaseSymbolFadeTiles(){for(const t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()}getImages(t,r){return e._(this,void 0,void 0,(function*(){const t=yield this.imageManager.getImages(r.icons);this._updateTilesForChangedImages();const e=this.sourceCaches[r.source];return e&&e.setDependencies(r.tileID.key,r.type,r.icons),t}))}getGlyphs(t,r){return e._(this,void 0,void 0,(function*(){const t=yield this.glyphManager.getGlyphs(r.stacks),e=this.sourceCaches[r.source];return e&&e.setDependencies(r.tileID.key,r.type,[\"\"]),t}))}getGlyphsUrl(){return this.stylesheet.glyphs||null}setGlyphs(t,r={}){this._checkLoaded(),t&&this._validate(e.x.glyphs,\"glyphs\",t,null,r)||(this._glyphsDidChange=!0,this.stylesheet.glyphs=t,this.glyphManager.entries={},this.glyphManager.setURL(t))}addSprite(t,r,n={},i){this._checkLoaded();const a=[{id:t,url:r}],o=[...x(this.stylesheet.sprite),...a];this._validate(e.x.sprite,\"sprite\",o,null,n)||(this.stylesheet.sprite=o,this._loadSprite(a,!0,i))}removeSprite(t){this._checkLoaded();const r=x(this.stylesheet.sprite);if(r.find((e=>e.id===t))){if(this._spritesImagesIds[t])for(const e of this._spritesImagesIds[t])this.imageManager.removeImage(e),this._changedImages[e]=!0;r.splice(r.findIndex((e=>e.id===t)),1),this.stylesheet.sprite=r.length>0?r:void 0,delete this._spritesImagesIds[t],this._availableImages=this.imageManager.listImages(),this._changed=!0,this.dispatcher.broadcast(\"SI\",this._availableImages),this.fire(new e.k(\"data\",{dataType:\"style\"}))}else this.fire(new e.j(new Error(`Sprite \"${t}\" doesn't exists on this map.`)))}getSprite(){return x(this.stylesheet.sprite)}setSprite(t,r={},n){this._checkLoaded(),t&&this._validate(e.x.sprite,\"sprite\",t,null,r)||(this.stylesheet.sprite=t,t?this._loadSprite(t,!0,n):(this._unloadSprite(),n&&n(null)))}}var me=e.Y([{name:\"a_pos\",type:\"Int16\",components:2}]);const ge={prelude:ye(\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\\n\",\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}\\n#ifdef TERRAIN3D\\nuniform sampler2D u_terrain;uniform float u_terrain_dim;uniform mat4 u_terrain_matrix;uniform vec4 u_terrain_unpack;uniform float u_terrain_exaggeration;uniform highp sampler2D u_depth;\\n#endif\\nconst highp vec4 bitSh=vec4(256.*256.*256.,256.*256.,256.,1.);const highp vec4 bitShifts=vec4(1.)/bitSh;highp float unpack(highp vec4 color) {return dot(color,bitShifts);}highp float depthOpacity(vec3 frag) {\\n#ifdef TERRAIN3D\\nhighp float d=unpack(texture2D(u_depth,frag.xy*0.5+0.5))+0.0001-frag.z;return 1.0-max(0.0,min(1.0,-d*500.0));\\n#else\\nreturn 1.0;\\n#endif\\n}float calculate_visibility(vec4 pos) {\\n#ifdef TERRAIN3D\\nvec3 frag=pos.xyz/pos.w;highp float d=depthOpacity(frag);if (d > 0.95) return 1.0;return (d+depthOpacity(frag+vec3(0.0,0.01,0.0)))/2.0;\\n#else\\nreturn 1.0;\\n#endif\\n}float ele(vec2 pos) {\\n#ifdef TERRAIN3D\\nvec4 rgb=(texture2D(u_terrain,pos)*255.0)*u_terrain_unpack;return rgb.r+rgb.g+rgb.b-u_terrain_unpack.a;\\n#else\\nreturn 0.0;\\n#endif\\n}float get_elevation(vec2 pos) {\\n#ifdef TERRAIN3D\\nvec2 coord=(u_terrain_matrix*vec4(pos,0.0,1.0)).xy*u_terrain_dim+1.0;vec2 f=fract(coord);vec2 c=(floor(coord)+0.5)/(u_terrain_dim+2.0);float d=1.0/(u_terrain_dim+2.0);float tl=ele(c);float tr=ele(c+vec2(d,0.0));float bl=ele(c+vec2(0.0,d));float br=ele(c+vec2(d,d));float elevation=mix(mix(tl,tr,f.x),mix(bl,br,f.x),f.y);return elevation*u_terrain_exaggeration;\\n#else\\nreturn 0.0;\\n#endif\\n}\"),background:ye(\"uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),backgroundPattern:ye(\"uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}\"),circle:ye(\"varying vec3 v_data;varying float v_visibility;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=v_visibility*opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;varying float v_visibility;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main(void) {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);float ele=get_elevation(circle_center);v_visibility=calculate_visibility(u_matrix*vec4(circle_center,ele,1.0));if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,ele,1);} else {gl_Position=u_matrix*vec4(circle_center,ele,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}\"),clippingMask:ye(\"void main() {gl_FragColor=vec4(1.0);}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),heatmap:ye(\"uniform highp float u_intensity;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main() {\\n#pragma mapbox: initialize highp float weight\\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#pragma mapbox: define mediump float radius\\nconst highp float ZERO=1.0/255.0/16.0;\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main(void) {\\n#pragma mapbox: initialize highp float weight\\n#pragma mapbox: initialize mediump float radius\\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}\"),heatmapTexture:ye(\"uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(0.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}\"),collisionBox:ye(\"varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_anchor_pos;attribute vec2 a_placed;attribute vec2 a_box_real;uniform mat4 u_matrix;uniform vec2 u_pixel_extrude_scale;varying float v_placed;varying float v_notUsed;vec4 projectTileWithElevation(vec2 posInTile,float elevation) {return u_matrix*vec4(posInTile,elevation,1.0);}void main() {gl_Position=projectTileWithElevation(a_anchor_pos,get_elevation(a_anchor_pos));gl_Position.xy=((a_box_real+0.5)*u_pixel_extrude_scale*2.0-1.0)*vec2(1.0,-1.0)*gl_Position.w;if (gl_Position.z/gl_Position.w < 1.1) {gl_Position.z=0.5;}v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),collisionCircle:ye(\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\"),debug:ye(\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,get_elevation(a_pos),1);}\"),fill:ye(\"#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_FragColor=color*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);}\"),fillOutline:ye(\"varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),fillOutlinePattern:ye(\"uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),fillPattern:ye(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}\"),fillExtrusion:ye(\"varying vec4 v_color;void main() {gl_FragColor=v_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;\\n#ifdef TERRAIN3D\\nattribute vec2 a_centroid;\\n#endif\\nvarying vec4 v_color;\\n#pragma mapbox: define highp float base\\n#pragma mapbox: define highp float height\\n#pragma mapbox: define highp vec4 color\\nvoid main() {\\n#pragma mapbox: initialize highp float base\\n#pragma mapbox: initialize highp float height\\n#pragma mapbox: initialize highp vec4 color\\nvec3 normal=a_normal_ed.xyz;\\n#ifdef TERRAIN3D\\nfloat height_terrain3d_offset=get_elevation(a_centroid);float base_terrain3d_offset=height_terrain3d_offset-(base > 0.0 ? 0.0 : 10.0);\\n#else\\nfloat height_terrain3d_offset=0.0;float base_terrain3d_offset=0.0;\\n#endif\\nbase=max(0.0,base)+base_terrain3d_offset;height=max(0.0,height)+height_terrain3d_offset;float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}\"),fillExtrusionPattern:ye(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;\\n#ifdef TERRAIN3D\\nattribute vec2 a_centroid;\\n#endif\\nvarying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;\\n#ifdef TERRAIN3D\\nfloat height_terrain3d_offset=get_elevation(a_centroid);float base_terrain3d_offset=height_terrain3d_offset-(base > 0.0 ? 0.0 : 10.0);\\n#else\\nfloat height_terrain3d_offset=0.0;float base_terrain3d_offset=0.0;\\n#endif\\nbase=max(0.0,base)+base_terrain3d_offset;height=max(0.0,height)+height_terrain3d_offset;float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\\n? a_pos\\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}\"),hillshadePrepare:ye(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggerationFactor=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;float exaggeration=u_zoom < 15.0 ? (u_zoom-15.0)*exaggerationFactor : 0.0;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/pow(2.0,exaggeration+(19.2562-u_zoom));gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\"),hillshade:ye(\"uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\\n#define PI 3.141592653589793\\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\"),line:ye(\"uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;\\n#ifdef TERRAIN3D\\nv_gamma_scale=1.0;\\n#else\\nfloat extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;\\n#endif\\nv_width2=vec2(outset,inset);}\"),lineGradient:ye(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp vec2 v_uv;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,v_uv);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;attribute float a_uv_x;attribute float a_split_index;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;uniform float u_image_height;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp vec2 v_uv;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;highp float texel_height=1.0/u_image_height;highp float half_texel_height=0.5*texel_height;v_uv=vec2(a_uv_x,a_split_index*texel_height-half_texel_height);vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;\\n#ifdef TERRAIN3D\\nv_gamma_scale=1.0;\\n#else\\nfloat extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;\\n#endif\\nv_width2=vec2(outset,inset);}\"),linePattern:ye(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;\\n#ifdef TERRAIN3D\\nv_gamma_scale=1.0;\\n#else\\nfloat extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;\\n#endif\\nv_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}\"),lineSDF:ye(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;\\n#ifdef TERRAIN3D\\nv_gamma_scale=1.0;\\n#else\\nfloat extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;\\n#endif\\nv_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}\"),raster:ye(\"uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\"),symbolIcon:ye(\"uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;uniform bool u_is_along_line;uniform bool u_is_variable_anchor;uniform vec2 u_translation;uniform float u_pitched_scale;varying vec2 v_tex;varying float v_fade_opacity;vec4 projectTileWithElevation(vec2 posInTile,float elevation) {return u_matrix*vec4(posInTile,elevation,1.0);}\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;float ele=get_elevation(a_pos);highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec2 translated_a_pos=a_pos+u_translation;vec4 projectedPoint=projectTileWithElevation(translated_a_pos,ele);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=projectTileWithElevation(translated_a_pos+vec2(1,0),ele);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos;if (u_is_along_line || u_is_variable_anchor) {projected_pos=vec4(a_projected_pos.xy,ele,1.0);} else if (u_pitch_with_map) {projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy+u_translation,ele,1.0);} else {projected_pos=u_label_plane_matrix*projectTileWithElevation(a_projected_pos.xy+u_translation,ele);}float z=float(u_pitch_with_map)*projected_pos.z/projected_pos.w;float projectionScaling=1.0;vec4 finalPos=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0)*projectionScaling,z,1.0);if(u_pitch_with_map) {finalPos=projectTileWithElevation(finalPos.xy,finalPos.z);}gl_Position=finalPos;v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float visibility=calculate_visibility(projectedPoint);v_fade_opacity=max(0.0,min(visibility,fade_opacity[0]+fade_change));}\"),symbolSDF:ye(\"#define SDF_PX 8.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float inner_edge=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);inner_edge=inner_edge+gamma*gamma_scale;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(inner_edge-gamma_scaled,inner_edge+gamma_scaled,dist);if (u_is_halo) {lowp float halo_edge=(6.0-halo_width/fontScale)/SDF_PX;alpha=min(smoothstep(halo_edge-gamma_scaled,halo_edge+gamma_scaled,dist),1.0-alpha);}gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform bool u_is_along_line;uniform bool u_is_variable_anchor;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_translation;uniform float u_pitched_scale;varying vec2 v_data0;varying vec3 v_data1;vec4 projectTileWithElevation(vec2 posInTile,float elevation) {return u_matrix*vec4(posInTile,elevation,1.0);}\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;float ele=get_elevation(a_pos);highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec2 translated_a_pos=a_pos+u_translation;vec4 projectedPoint=projectTileWithElevation(translated_a_pos,ele);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=projectTileWithElevation(translated_a_pos+vec2(1,0),ele);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos;if (u_is_along_line || u_is_variable_anchor) {projected_pos=vec4(a_projected_pos.xy,ele,1.0);} else if (u_pitch_with_map) {projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy+u_translation,ele,1.0);} else {projected_pos=u_label_plane_matrix*projectTileWithElevation(a_projected_pos.xy+u_translation,ele);}float z=float(u_pitch_with_map)*projected_pos.z/projected_pos.w;float projectionScaling=1.0;vec4 finalPos=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset)*projectionScaling,z,1.0);if(u_pitch_with_map) {finalPos=projectTileWithElevation(finalPos.xy,finalPos.z);}float gamma_scale=finalPos.w;gl_Position=finalPos;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float visibility=calculate_visibility(projectedPoint);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(visibility,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}\"),symbolTextAndIcon:ye(\"#define SDF_PX 8.0\\n#define SDF 1.0\\n#define ICON 0.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;uniform bool u_is_along_line;uniform bool u_is_variable_anchor;uniform vec2 u_translation;uniform float u_pitched_scale;varying vec4 v_data0;varying vec4 v_data1;vec4 projectTileWithElevation(vec2 posInTile,float elevation) {return u_matrix*vec4(posInTile,elevation,1.0);}\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;float ele=get_elevation(a_pos);highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec2 translated_a_pos=a_pos+u_translation;vec4 projectedPoint=projectTileWithElevation(translated_a_pos,ele);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=projectTileWithElevation(translated_a_pos+vec2(1,0),ele);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos;if (u_is_along_line || u_is_variable_anchor) {projected_pos=vec4(a_projected_pos.xy,ele,1.0);} else if (u_pitch_with_map) {projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy+u_translation,ele,1.0);} else {projected_pos=u_label_plane_matrix*projectTileWithElevation(a_projected_pos.xy+u_translation,ele);}float z=float(u_pitch_with_map)*projected_pos.z/projected_pos.w;float projectionScaling=1.0;vec4 finalPos=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale)*projectionScaling,z,1.0);if(u_pitch_with_map) {finalPos=projectTileWithElevation(finalPos.xy,finalPos.z);}float gamma_scale=finalPos.w;gl_Position=finalPos;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float visibility=calculate_visibility(projectedPoint);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(visibility,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}\"),terrain:ye(\"uniform sampler2D u_texture;uniform vec4 u_fog_color;uniform vec4 u_horizon_color;uniform float u_fog_ground_blend;uniform float u_fog_ground_blend_opacity;uniform float u_horizon_fog_blend;varying vec2 v_texture_pos;varying float v_fog_depth;const float gamma=2.2;vec4 gammaToLinear(vec4 color) {return pow(color,vec4(gamma));}vec4 linearToGamma(vec4 color) {return pow(color,vec4(1.0/gamma));}void main() {vec4 surface_color=texture2D(u_texture,v_texture_pos);if (v_fog_depth > u_fog_ground_blend) {vec4 surface_color_linear=gammaToLinear(surface_color);float blend_color=smoothstep(0.0,1.0,max((v_fog_depth-u_horizon_fog_blend)/(1.0-u_horizon_fog_blend),0.0));vec4 fog_horizon_color_linear=mix(gammaToLinear(u_fog_color),gammaToLinear(u_horizon_color),blend_color);float factor_fog=max(v_fog_depth-u_fog_ground_blend,0.0)/(1.0-u_fog_ground_blend);gl_FragColor=linearToGamma(mix(surface_color_linear,fog_horizon_color_linear,pow(factor_fog,2.0)*u_fog_ground_blend_opacity));} else {gl_FragColor=surface_color;}}\",\"attribute vec3 a_pos3d;uniform mat4 u_matrix;uniform mat4 u_fog_matrix;uniform float u_ele_delta;varying vec2 v_texture_pos;varying float v_fog_depth;void main() {float ele=get_elevation(a_pos3d.xy);float ele_delta=a_pos3d.z==1.0 ? u_ele_delta : 0.0;v_texture_pos=a_pos3d.xy/8192.0;gl_Position=u_matrix*vec4(a_pos3d.xy,ele-ele_delta,1.0);vec4 pos=u_fog_matrix*vec4(a_pos3d.xy,ele,1.0);v_fog_depth=pos.z/pos.w*0.5+0.5;}\"),terrainDepth:ye(\"varying float v_depth;const highp vec4 bitSh=vec4(256.*256.*256.,256.*256.,256.,1.);const highp vec4 bitMsk=vec4(0.,vec3(1./256.0));highp vec4 pack(highp float value) {highp vec4 comp=fract(value*bitSh);comp-=comp.xxyz*bitMsk;return comp;}void main() {gl_FragColor=pack(v_depth);}\",\"attribute vec3 a_pos3d;uniform mat4 u_matrix;uniform float u_ele_delta;varying float v_depth;void main() {float ele=get_elevation(a_pos3d.xy);float ele_delta=a_pos3d.z==1.0 ? u_ele_delta : 0.0;gl_Position=u_matrix*vec4(a_pos3d.xy,ele-ele_delta,1.0);v_depth=gl_Position.z/gl_Position.w;}\"),terrainCoords:ye(\"precision mediump float;uniform sampler2D u_texture;uniform float u_terrain_coords_id;varying vec2 v_texture_pos;void main() {vec4 rgba=texture2D(u_texture,v_texture_pos);gl_FragColor=vec4(rgba.r,rgba.g,rgba.b,u_terrain_coords_id);}\",\"attribute vec3 a_pos3d;uniform mat4 u_matrix;uniform float u_ele_delta;varying vec2 v_texture_pos;void main() {float ele=get_elevation(a_pos3d.xy);float ele_delta=a_pos3d.z==1.0 ? u_ele_delta : 0.0;v_texture_pos=a_pos3d.xy/8192.0;gl_Position=u_matrix*vec4(a_pos3d.xy,ele-ele_delta,1.0);}\"),sky:ye(\"uniform vec4 u_sky_color;uniform vec4 u_horizon_color;uniform float u_horizon;uniform float u_sky_horizon_blend;void main() {float y=gl_FragCoord.y;if (y > u_horizon) {float blend=y-u_horizon;if (blend < u_sky_horizon_blend) {gl_FragColor=mix(u_sky_color,u_horizon_color,pow(1.0-blend/u_sky_horizon_blend,2.0));} else {gl_FragColor=u_sky_color;}}}\",\"attribute vec2 a_pos;void main() {gl_Position=vec4(a_pos,1.0,1.0);}\")};function ye(t,e){const r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n=e.match(/attribute ([\\w]+) ([\\w]+)/g),i=t.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),a=e.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),o=a?a.concat(i):i,s={};return{fragmentSource:t=t.replace(r,((t,e,r,n,i)=>(s[i]=!0,\"define\"===e?`\\n#ifndef HAS_UNIFORM_u_${i}\\nvarying ${r} ${n} ${i};\\n#else\\nuniform ${r} ${n} u_${i};\\n#endif\\n`:`\\n#ifdef HAS_UNIFORM_u_${i}\\n    ${r} ${n} ${i} = u_${i};\\n#endif\\n`))),vertexSource:e=e.replace(r,((t,e,r,n,i)=>{const a=\"float\"===n?\"vec2\":\"vec4\",o=i.match(/color/)?\"color\":a;return s[i]?\"define\"===e?`\\n#ifndef HAS_UNIFORM_u_${i}\\nuniform lowp float u_${i}_t;\\nattribute ${r} ${a} a_${i};\\nvarying ${r} ${n} ${i};\\n#else\\nuniform ${r} ${n} u_${i};\\n#endif\\n`:\"vec4\"===o?`\\n#ifndef HAS_UNIFORM_u_${i}\\n    ${i} = a_${i};\\n#else\\n    ${r} ${n} ${i} = u_${i};\\n#endif\\n`:`\\n#ifndef HAS_UNIFORM_u_${i}\\n    ${i} = unpack_mix_${o}(a_${i}, u_${i}_t);\\n#else\\n    ${r} ${n} ${i} = u_${i};\\n#endif\\n`:\"define\"===e?`\\n#ifndef HAS_UNIFORM_u_${i}\\nuniform lowp float u_${i}_t;\\nattribute ${r} ${a} a_${i};\\n#else\\nuniform ${r} ${n} u_${i};\\n#endif\\n`:\"vec4\"===o?`\\n#ifndef HAS_UNIFORM_u_${i}\\n    ${r} ${n} ${i} = a_${i};\\n#else\\n    ${r} ${n} ${i} = u_${i};\\n#endif\\n`:`\\n#ifndef HAS_UNIFORM_u_${i}\\n    ${r} ${n} ${i} = unpack_mix_${o}(a_${i}, u_${i}_t);\\n#else\\n    ${r} ${n} ${i} = u_${i};\\n#endif\\n`})),staticAttributes:n,staticUniforms:o}}class ve{constructor(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null}bind(t,e,r,n,i,a,o,s,l){this.context=t;let c=this.boundPaintVertexBuffers.length!==n.length;for(let t=0;!c&&t<n.length;t++)this.boundPaintVertexBuffers[t]!==n[t]&&(c=!0);!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||c||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s||this.boundDynamicVertexBuffer3!==l?this.freshBind(e,r,n,i,a,o,s,l):(t.bindVertexArray.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind(),l&&l.bind())}freshBind(t,e,r,n,i,a,o,s){const l=t.numAttributes,c=this.context,u=c.gl;this.vao&&this.destroy(),this.vao=c.createVertexArray(),c.bindVertexArray.set(this.vao),this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=i,this.boundDynamicVertexBuffer=a,this.boundDynamicVertexBuffer2=o,this.boundDynamicVertexBuffer3=s,e.enableAttributes(u,t);for(const e of r)e.enableAttributes(u,t);a&&a.enableAttributes(u,t),o&&o.enableAttributes(u,t),s&&s.enableAttributes(u,t),e.bind(),e.setVertexAttribPointers(u,t,i);for(const e of r)e.bind(),e.setVertexAttribPointers(u,t,i);a&&(a.bind(),a.setVertexAttribPointers(u,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(u,t,i)),s&&(s.bind(),s.setVertexAttribPointers(u,t,i)),c.currentNumAttributes=l}destroy(){this.vao&&(this.context.deleteVertexArray(this.vao),this.vao=null)}}const xe=(t,r,n,i,a)=>({u_matrix:t,u_texture:0,u_ele_delta:r,u_fog_matrix:n,u_fog_color:i?i.properties.get(\"fog-color\"):e.aN.white,u_fog_ground_blend:i?i.properties.get(\"fog-ground-blend\"):1,u_fog_ground_blend_opacity:i?i.calculateFogBlendOpacity(a):0,u_horizon_color:i?i.properties.get(\"horizon-color\"):e.aN.white,u_horizon_fog_blend:i?i.properties.get(\"horizon-fog-blend\"):1});function _e(t){const e=[];for(let r=0;r<t.length;r++){if(null===t[r])continue;const n=t[r].split(\" \");e.push(n.pop())}return e}class be{constructor(t,r,n,i,a,o){const s=t.gl;this.program=s.createProgram();const l=_e(r.staticAttributes),c=n?n.getBinderAttributes():[],u=l.concat(c),h=ge.prelude.staticUniforms?_e(ge.prelude.staticUniforms):[],f=r.staticUniforms?_e(r.staticUniforms):[],p=n?n.getBinderUniforms():[],d=h.concat(f).concat(p),m=[];for(const t of d)m.indexOf(t)<0&&m.push(t);const g=n?n.defines():[];a&&g.push(\"#define OVERDRAW_INSPECTOR;\"),o&&g.push(\"#define TERRAIN3D;\");const y=g.concat(ge.prelude.fragmentSource,r.fragmentSource).join(\"\\n\"),v=g.concat(ge.prelude.vertexSource,r.vertexSource).join(\"\\n\"),x=s.createShader(s.FRAGMENT_SHADER);if(s.isContextLost())return void(this.failedToCreate=!0);if(s.shaderSource(x,y),s.compileShader(x),!s.getShaderParameter(x,s.COMPILE_STATUS))throw new Error(`Could not compile fragment shader: ${s.getShaderInfoLog(x)}`);s.attachShader(this.program,x);const _=s.createShader(s.VERTEX_SHADER);if(s.isContextLost())return void(this.failedToCreate=!0);if(s.shaderSource(_,v),s.compileShader(_),!s.getShaderParameter(_,s.COMPILE_STATUS))throw new Error(`Could not compile vertex shader: ${s.getShaderInfoLog(_)}`);s.attachShader(this.program,_),this.attributes={};const b={};this.numAttributes=u.length;for(let t=0;t<this.numAttributes;t++)u[t]&&(s.bindAttribLocation(this.program,t,u[t]),this.attributes[u[t]]=t);if(s.linkProgram(this.program),!s.getProgramParameter(this.program,s.LINK_STATUS))throw new Error(`Program failed to link: ${s.getProgramInfoLog(this.program)}`);s.deleteShader(_),s.deleteShader(x);for(let t=0;t<m.length;t++){const e=m[t];if(e&&!b[e]){const t=s.getUniformLocation(this.program,e);t&&(b[e]=t)}}this.fixedUniforms=i(t,b),this.terrainUniforms=((t,r)=>({u_depth:new e.aI(t,r.u_depth),u_terrain:new e.aI(t,r.u_terrain),u_terrain_dim:new e.aJ(t,r.u_terrain_dim),u_terrain_matrix:new e.aK(t,r.u_terrain_matrix),u_terrain_unpack:new e.aL(t,r.u_terrain_unpack),u_terrain_exaggeration:new e.aJ(t,r.u_terrain_exaggeration)}))(t,b),this.binderUniforms=n?n.getUniforms(t,b):[]}draw(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g,y){const v=t.gl;if(this.failedToCreate)return;if(t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),s){t.activeTexture.set(v.TEXTURE2),v.bindTexture(v.TEXTURE_2D,s.depthTexture),t.activeTexture.set(v.TEXTURE3),v.bindTexture(v.TEXTURE_2D,s.texture);for(const t in this.terrainUniforms)this.terrainUniforms[t].set(s[t])}for(const t in this.fixedUniforms)this.fixedUniforms[t].set(o[t]);d&&d.setUniforms(t,this.binderUniforms,f,{zoom:p});let x=0;switch(e){case v.LINES:x=2;break;case v.TRIANGLES:x=3;break;case v.LINE_STRIP:x=1}for(const r of h.get()){const n=r.vaos||(r.vaos={});(n[l]||(n[l]=new ve)).bind(t,this,c,d?d.getPaintVertexBuffers():[],u,r.vertexOffset,m,g,y),v.drawElements(e,r.primitiveLength*x,v.UNSIGNED_SHORT,r.primitiveOffset*x*2)}}}function we(t,e,r){const n=1/Nt(r,1,e.transform.tileZoom),i=Math.pow(2,r.tileID.overscaledZ),a=r.tileSize*Math.pow(2,e.transform.tileZoom)/i,o=a*(r.tileID.canonical.x+r.tileID.wrap*i),s=a*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}const Te=(t,r,n,i)=>{const a=r.style.light,o=a.properties.get(\"position\"),s=[o.x,o.y,o.z],l=function(){var t=new e.A(9);return e.A!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[5]=0,t[6]=0,t[7]=0),t[0]=1,t[4]=1,t[8]=1,t}();\"viewport\"===a.properties.get(\"anchor\")&&function(t,e){var r=Math.sin(e),n=Math.cos(e);t[0]=n,t[1]=r,t[2]=0,t[3]=-r,t[4]=n,t[5]=0,t[6]=0,t[7]=0,t[8]=1}(l,-r.transform.angle),function(t,e,r){var n=e[0],i=e[1],a=e[2];t[0]=n*r[0]+i*r[3]+a*r[6],t[1]=n*r[1]+i*r[4]+a*r[7],t[2]=n*r[2]+i*r[5]+a*r[8]}(s,s,l);const c=a.properties.get(\"color\");return{u_matrix:t,u_lightpos:s,u_lightintensity:a.properties.get(\"intensity\"),u_lightcolor:[c.r,c.g,c.b],u_vertical_gradient:+n,u_opacity:i}},ke=(t,r,n,i,a,o,s)=>e.e(Te(t,r,n,i),we(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8}),Ae=t=>({u_matrix:t}),Me=(t,r,n,i)=>e.e(Ae(t),we(n,r,i)),Se=(t,e)=>({u_matrix:t,u_world:e}),Ee=(t,r,n,i,a)=>e.e(Me(t,r,n,i),{u_world:a}),Ce=(t,e,r,n)=>{const i=t.transform;let a,o;if(\"map\"===n.paint.get(\"circle-pitch-alignment\")){const t=Nt(r,1,i.zoom);a=!0,o=[t,t]}else a=!1,o=i.pixelsToGLUnits;return{u_camera_to_center_distance:i.cameraToCenterDistance,u_scale_with_map:+(\"map\"===n.paint.get(\"circle-pitch-scale\")),u_matrix:t.translatePosMatrix(e.posMatrix,r,n.paint.get(\"circle-translate\"),n.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+a,u_device_pixel_ratio:t.pixelRatio,u_extrude_scale:o}},Le=(t,e)=>({u_matrix:e,u_pixel_extrude_scale:[1/t.width,1/t.height]}),Ie=(t,e,r)=>({u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}),Pe=(t,e,r=1)=>({u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}),ze=t=>({u_matrix:t}),Oe=(t,e,r,n)=>({u_matrix:t,u_extrude_scale:Nt(e,1,r),u_intensity:n}),De=(t,r,n,i)=>{const a=e.H();e.aQ(a,0,t.width,t.height,0,0,1);const o=t.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:i,u_opacity:r.paint.get(\"heatmap-opacity\")}},Re=(t,e,r,n)=>{const i=r.paint.get(\"hillshade-shadow-color\"),a=r.paint.get(\"hillshade-highlight-color\"),o=r.paint.get(\"hillshade-accent-color\");let s=r.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);\"viewport\"===r.paint.get(\"hillshade-illumination-anchor\")&&(s-=t.transform.angle);const l=!t.options.moving;return{u_matrix:n?n.posMatrix:t.transform.calculatePosMatrix(e.tileID.toUnwrapped(),l),u_image:0,u_latrange:Be(0,e.tileID),u_light:[r.paint.get(\"hillshade-exaggeration\"),s],u_shadow:i,u_highlight:a,u_accent:o}},Fe=(t,r)=>{const n=r.stride,i=e.H();return e.aQ(i,0,e.X,-e.X,0,0,1),e.J(i,i,[0,-e.X,0]),{u_matrix:i,u_image:1,u_dimension:[n,n],u_zoom:t.overscaledZ,u_unpack:r.getUnpackVector()}};function Be(t,r){const n=Math.pow(2,r.canonical.z),i=r.canonical.y;return[new e.Z(0,i/n).toLngLat().lat,new e.Z(0,(i+1)/n).toLngLat().lat]}const Ne=(t,e,r,n)=>{const i=t.transform;return{u_matrix:He(t,e,r,n),u_ratio:1/Nt(e,1,i.zoom),u_device_pixel_ratio:t.pixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},je=(t,r,n,i,a)=>e.e(Ne(t,r,n,a),{u_image:0,u_image_height:i}),Ue=(t,e,r,n,i)=>{const a=t.transform,o=qe(e,a);return{u_matrix:He(t,e,r,i),u_texsize:e.imageAtlasTexture.size,u_ratio:1/Nt(e,1,a.zoom),u_device_pixel_ratio:t.pixelRatio,u_image:0,u_scale:[o,n.fromScale,n.toScale],u_fade:n.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Ve=(t,r,n,i,a,o)=>{const s=t.transform,l=t.lineAtlas,c=qe(r,s),u=\"round\"===n.layout.get(\"line-cap\"),h=l.getDash(i.from,u),f=l.getDash(i.to,u),p=h.width*a.fromScale,d=f.width*a.toScale;return e.e(Ne(t,r,n,o),{u_patternscale_a:[c/p,-h.height/2],u_patternscale_b:[c/d,-f.height/2],u_sdfgamma:l.width/(256*Math.min(p,d)*t.pixelRatio)/2,u_image:0,u_tex_y_a:h.y,u_tex_y_b:f.y,u_mix:a.t})};function qe(t,e){return 1/Nt(t,1,e.tileZoom)}function He(t,e,r,n){return t.translatePosMatrix(n?n.posMatrix:e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}const Ge=(t,e,r,n,i)=>{return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get(\"raster-brightness-min\"),u_brightness_high:i.paint.get(\"raster-brightness-max\"),u_saturation_factor:(o=i.paint.get(\"raster-saturation\"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get(\"raster-contrast\"),a>0?1/(1-a):1+a),u_spin_weights:Ze(i.paint.get(\"raster-hue-rotate\"))};var a,o};function Ze(t){t*=Math.PI/180;const e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}const We=(t,e,r,n,i,a,o,s,l,c,u,h,f,p)=>{const d=o.transform;return{u_is_size_zoom_constant:+(\"constant\"===t||\"source\"===t),u_is_size_feature_constant:+(\"constant\"===t||\"camera\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:d.cameraToCenterDistance,u_pitch:d.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:d.width/d.height,u_fade_change:o.options.fadeDuration?o.symbolFadeChange:1,u_matrix:s,u_label_plane_matrix:l,u_coord_matrix:c,u_is_text:+h,u_pitch_with_map:+n,u_is_along_line:i,u_is_variable_anchor:a,u_texsize:f,u_texture:0,u_translation:u,u_pitched_scale:p}},Ye=(t,r,n,i,a,o,s,l,c,u,h,f,p,d,m)=>{const g=s.transform;return e.e(We(t,r,n,i,a,o,s,l,c,u,h,f,p,m),{u_gamma_scale:i?Math.cos(g._pitch)*g.cameraToCenterDistance:1,u_device_pixel_ratio:s.pixelRatio,u_is_halo:+d})},Xe=(t,r,n,i,a,o,s,l,c,u,h,f,p,d)=>e.e(Ye(t,r,n,i,a,o,s,l,c,u,h,!0,f,!0,d),{u_texsize_icon:p,u_texture_icon:1}),$e=(t,e,r)=>({u_matrix:t,u_opacity:e,u_color:r}),Je=(t,r,n,i,a,o)=>e.e(function(t,e,r,n){const i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),{width:o,height:s}=r.imageManager.getPixelSize(),l=Math.pow(2,n.tileID.overscaledZ),c=n.tileSize*Math.pow(2,r.transform.tileZoom)/l,u=c*(n.tileID.canonical.x+n.tileID.wrap*l),h=c*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[o,s],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/Nt(n,1,r.transform.tileZoom),u_pixel_coord_upper:[u>>16,h>>16],u_pixel_coord_lower:[65535&u,65535&h]}}(i,o,n,a),{u_matrix:t,u_opacity:r}),Ke={fillExtrusion:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_lightpos:new e.aO(t,r.u_lightpos),u_lightintensity:new e.aJ(t,r.u_lightintensity),u_lightcolor:new e.aO(t,r.u_lightcolor),u_vertical_gradient:new e.aJ(t,r.u_vertical_gradient),u_opacity:new e.aJ(t,r.u_opacity)}),fillExtrusionPattern:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_lightpos:new e.aO(t,r.u_lightpos),u_lightintensity:new e.aJ(t,r.u_lightintensity),u_lightcolor:new e.aO(t,r.u_lightcolor),u_vertical_gradient:new e.aJ(t,r.u_vertical_gradient),u_height_factor:new e.aJ(t,r.u_height_factor),u_image:new e.aI(t,r.u_image),u_texsize:new e.aP(t,r.u_texsize),u_pixel_coord_upper:new e.aP(t,r.u_pixel_coord_upper),u_pixel_coord_lower:new e.aP(t,r.u_pixel_coord_lower),u_scale:new e.aO(t,r.u_scale),u_fade:new e.aJ(t,r.u_fade),u_opacity:new e.aJ(t,r.u_opacity)}),fill:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix)}),fillPattern:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_image:new e.aI(t,r.u_image),u_texsize:new e.aP(t,r.u_texsize),u_pixel_coord_upper:new e.aP(t,r.u_pixel_coord_upper),u_pixel_coord_lower:new e.aP(t,r.u_pixel_coord_lower),u_scale:new e.aO(t,r.u_scale),u_fade:new e.aJ(t,r.u_fade)}),fillOutline:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_world:new e.aP(t,r.u_world)}),fillOutlinePattern:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_world:new e.aP(t,r.u_world),u_image:new e.aI(t,r.u_image),u_texsize:new e.aP(t,r.u_texsize),u_pixel_coord_upper:new e.aP(t,r.u_pixel_coord_upper),u_pixel_coord_lower:new e.aP(t,r.u_pixel_coord_lower),u_scale:new e.aO(t,r.u_scale),u_fade:new e.aJ(t,r.u_fade)}),circle:(t,r)=>({u_camera_to_center_distance:new e.aJ(t,r.u_camera_to_center_distance),u_scale_with_map:new e.aI(t,r.u_scale_with_map),u_pitch_with_map:new e.aI(t,r.u_pitch_with_map),u_extrude_scale:new e.aP(t,r.u_extrude_scale),u_device_pixel_ratio:new e.aJ(t,r.u_device_pixel_ratio),u_matrix:new e.aK(t,r.u_matrix)}),collisionBox:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_pixel_extrude_scale:new e.aP(t,r.u_pixel_extrude_scale)}),collisionCircle:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_inv_matrix:new e.aK(t,r.u_inv_matrix),u_camera_to_center_distance:new e.aJ(t,r.u_camera_to_center_distance),u_viewport_size:new e.aP(t,r.u_viewport_size)}),debug:(t,r)=>({u_color:new e.aM(t,r.u_color),u_matrix:new e.aK(t,r.u_matrix),u_overlay:new e.aI(t,r.u_overlay),u_overlay_scale:new e.aJ(t,r.u_overlay_scale)}),clippingMask:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix)}),heatmap:(t,r)=>({u_extrude_scale:new e.aJ(t,r.u_extrude_scale),u_intensity:new e.aJ(t,r.u_intensity),u_matrix:new e.aK(t,r.u_matrix)}),heatmapTexture:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_world:new e.aP(t,r.u_world),u_image:new e.aI(t,r.u_image),u_color_ramp:new e.aI(t,r.u_color_ramp),u_opacity:new e.aJ(t,r.u_opacity)}),hillshade:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_image:new e.aI(t,r.u_image),u_latrange:new e.aP(t,r.u_latrange),u_light:new e.aP(t,r.u_light),u_shadow:new e.aM(t,r.u_shadow),u_highlight:new e.aM(t,r.u_highlight),u_accent:new e.aM(t,r.u_accent)}),hillshadePrepare:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_image:new e.aI(t,r.u_image),u_dimension:new e.aP(t,r.u_dimension),u_zoom:new e.aJ(t,r.u_zoom),u_unpack:new e.aL(t,r.u_unpack)}),line:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_ratio:new e.aJ(t,r.u_ratio),u_device_pixel_ratio:new e.aJ(t,r.u_device_pixel_ratio),u_units_to_pixels:new e.aP(t,r.u_units_to_pixels)}),lineGradient:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_ratio:new e.aJ(t,r.u_ratio),u_device_pixel_ratio:new e.aJ(t,r.u_device_pixel_ratio),u_units_to_pixels:new e.aP(t,r.u_units_to_pixels),u_image:new e.aI(t,r.u_image),u_image_height:new e.aJ(t,r.u_image_height)}),linePattern:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_texsize:new e.aP(t,r.u_texsize),u_ratio:new e.aJ(t,r.u_ratio),u_device_pixel_ratio:new e.aJ(t,r.u_device_pixel_ratio),u_image:new e.aI(t,r.u_image),u_units_to_pixels:new e.aP(t,r.u_units_to_pixels),u_scale:new e.aO(t,r.u_scale),u_fade:new e.aJ(t,r.u_fade)}),lineSDF:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_ratio:new e.aJ(t,r.u_ratio),u_device_pixel_ratio:new e.aJ(t,r.u_device_pixel_ratio),u_units_to_pixels:new e.aP(t,r.u_units_to_pixels),u_patternscale_a:new e.aP(t,r.u_patternscale_a),u_patternscale_b:new e.aP(t,r.u_patternscale_b),u_sdfgamma:new e.aJ(t,r.u_sdfgamma),u_image:new e.aI(t,r.u_image),u_tex_y_a:new e.aJ(t,r.u_tex_y_a),u_tex_y_b:new e.aJ(t,r.u_tex_y_b),u_mix:new e.aJ(t,r.u_mix)}),raster:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_tl_parent:new e.aP(t,r.u_tl_parent),u_scale_parent:new e.aJ(t,r.u_scale_parent),u_buffer_scale:new e.aJ(t,r.u_buffer_scale),u_fade_t:new e.aJ(t,r.u_fade_t),u_opacity:new e.aJ(t,r.u_opacity),u_image0:new e.aI(t,r.u_image0),u_image1:new e.aI(t,r.u_image1),u_brightness_low:new e.aJ(t,r.u_brightness_low),u_brightness_high:new e.aJ(t,r.u_brightness_high),u_saturation_factor:new e.aJ(t,r.u_saturation_factor),u_contrast_factor:new e.aJ(t,r.u_contrast_factor),u_spin_weights:new e.aO(t,r.u_spin_weights)}),symbolIcon:(t,r)=>({u_is_size_zoom_constant:new e.aI(t,r.u_is_size_zoom_constant),u_is_size_feature_constant:new e.aI(t,r.u_is_size_feature_constant),u_size_t:new e.aJ(t,r.u_size_t),u_size:new e.aJ(t,r.u_size),u_camera_to_center_distance:new e.aJ(t,r.u_camera_to_center_distance),u_pitch:new e.aJ(t,r.u_pitch),u_rotate_symbol:new e.aI(t,r.u_rotate_symbol),u_aspect_ratio:new e.aJ(t,r.u_aspect_ratio),u_fade_change:new e.aJ(t,r.u_fade_change),u_matrix:new e.aK(t,r.u_matrix),u_label_plane_matrix:new e.aK(t,r.u_label_plane_matrix),u_coord_matrix:new e.aK(t,r.u_coord_matrix),u_is_text:new e.aI(t,r.u_is_text),u_pitch_with_map:new e.aI(t,r.u_pitch_with_map),u_is_along_line:new e.aI(t,r.u_is_along_line),u_is_variable_anchor:new e.aI(t,r.u_is_variable_anchor),u_texsize:new e.aP(t,r.u_texsize),u_texture:new e.aI(t,r.u_texture),u_translation:new e.aP(t,r.u_translation),u_pitched_scale:new e.aJ(t,r.u_pitched_scale)}),symbolSDF:(t,r)=>({u_is_size_zoom_constant:new e.aI(t,r.u_is_size_zoom_constant),u_is_size_feature_constant:new e.aI(t,r.u_is_size_feature_constant),u_size_t:new e.aJ(t,r.u_size_t),u_size:new e.aJ(t,r.u_size),u_camera_to_center_distance:new e.aJ(t,r.u_camera_to_center_distance),u_pitch:new e.aJ(t,r.u_pitch),u_rotate_symbol:new e.aI(t,r.u_rotate_symbol),u_aspect_ratio:new e.aJ(t,r.u_aspect_ratio),u_fade_change:new e.aJ(t,r.u_fade_change),u_matrix:new e.aK(t,r.u_matrix),u_label_plane_matrix:new e.aK(t,r.u_label_plane_matrix),u_coord_matrix:new e.aK(t,r.u_coord_matrix),u_is_text:new e.aI(t,r.u_is_text),u_pitch_with_map:new e.aI(t,r.u_pitch_with_map),u_is_along_line:new e.aI(t,r.u_is_along_line),u_is_variable_anchor:new e.aI(t,r.u_is_variable_anchor),u_texsize:new e.aP(t,r.u_texsize),u_texture:new e.aI(t,r.u_texture),u_gamma_scale:new e.aJ(t,r.u_gamma_scale),u_device_pixel_ratio:new e.aJ(t,r.u_device_pixel_ratio),u_is_halo:new e.aI(t,r.u_is_halo),u_translation:new e.aP(t,r.u_translation),u_pitched_scale:new e.aJ(t,r.u_pitched_scale)}),symbolTextAndIcon:(t,r)=>({u_is_size_zoom_constant:new e.aI(t,r.u_is_size_zoom_constant),u_is_size_feature_constant:new e.aI(t,r.u_is_size_feature_constant),u_size_t:new e.aJ(t,r.u_size_t),u_size:new e.aJ(t,r.u_size),u_camera_to_center_distance:new e.aJ(t,r.u_camera_to_center_distance),u_pitch:new e.aJ(t,r.u_pitch),u_rotate_symbol:new e.aI(t,r.u_rotate_symbol),u_aspect_ratio:new e.aJ(t,r.u_aspect_ratio),u_fade_change:new e.aJ(t,r.u_fade_change),u_matrix:new e.aK(t,r.u_matrix),u_label_plane_matrix:new e.aK(t,r.u_label_plane_matrix),u_coord_matrix:new e.aK(t,r.u_coord_matrix),u_is_text:new e.aI(t,r.u_is_text),u_pitch_with_map:new e.aI(t,r.u_pitch_with_map),u_is_along_line:new e.aI(t,r.u_is_along_line),u_is_variable_anchor:new e.aI(t,r.u_is_variable_anchor),u_texsize:new e.aP(t,r.u_texsize),u_texsize_icon:new e.aP(t,r.u_texsize_icon),u_texture:new e.aI(t,r.u_texture),u_texture_icon:new e.aI(t,r.u_texture_icon),u_gamma_scale:new e.aJ(t,r.u_gamma_scale),u_device_pixel_ratio:new e.aJ(t,r.u_device_pixel_ratio),u_is_halo:new e.aI(t,r.u_is_halo),u_translation:new e.aP(t,r.u_translation),u_pitched_scale:new e.aJ(t,r.u_pitched_scale)}),background:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_opacity:new e.aJ(t,r.u_opacity),u_color:new e.aM(t,r.u_color)}),backgroundPattern:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_opacity:new e.aJ(t,r.u_opacity),u_image:new e.aI(t,r.u_image),u_pattern_tl_a:new e.aP(t,r.u_pattern_tl_a),u_pattern_br_a:new e.aP(t,r.u_pattern_br_a),u_pattern_tl_b:new e.aP(t,r.u_pattern_tl_b),u_pattern_br_b:new e.aP(t,r.u_pattern_br_b),u_texsize:new e.aP(t,r.u_texsize),u_mix:new e.aJ(t,r.u_mix),u_pattern_size_a:new e.aP(t,r.u_pattern_size_a),u_pattern_size_b:new e.aP(t,r.u_pattern_size_b),u_scale_a:new e.aJ(t,r.u_scale_a),u_scale_b:new e.aJ(t,r.u_scale_b),u_pixel_coord_upper:new e.aP(t,r.u_pixel_coord_upper),u_pixel_coord_lower:new e.aP(t,r.u_pixel_coord_lower),u_tile_units_to_pixels:new e.aJ(t,r.u_tile_units_to_pixels)}),terrain:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_texture:new e.aI(t,r.u_texture),u_ele_delta:new e.aJ(t,r.u_ele_delta),u_fog_matrix:new e.aK(t,r.u_fog_matrix),u_fog_color:new e.aM(t,r.u_fog_color),u_fog_ground_blend:new e.aJ(t,r.u_fog_ground_blend),u_fog_ground_blend_opacity:new e.aJ(t,r.u_fog_ground_blend_opacity),u_horizon_color:new e.aM(t,r.u_horizon_color),u_horizon_fog_blend:new e.aJ(t,r.u_horizon_fog_blend)}),terrainDepth:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_ele_delta:new e.aJ(t,r.u_ele_delta)}),terrainCoords:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_texture:new e.aI(t,r.u_texture),u_terrain_coords_id:new e.aJ(t,r.u_terrain_coords_id),u_ele_delta:new e.aJ(t,r.u_ele_delta)}),sky:(t,r)=>({u_sky_color:new e.aM(t,r.u_sky_color),u_horizon_color:new e.aM(t,r.u_horizon_color),u_horizon:new e.aJ(t,r.u_horizon),u_sky_horizon_blend:new e.aJ(t,r.u_sky_horizon_blend)})};class Qe{constructor(t,e,r){this.context=t;const n=t.gl;this.buffer=n.createBuffer(),this.dynamicDraw=Boolean(r),this.context.unbindVAO(),t.bindElementBuffer.set(this.buffer),n.bufferData(n.ELEMENT_ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?n.DYNAMIC_DRAW:n.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer}bind(){this.context.bindElementBuffer.set(this.buffer)}updateData(t){const e=this.context.gl;if(!this.dynamicDraw)throw new Error(\"Attempted to update data while not in dynamic mode.\");this.context.unbindVAO(),this.bind(),e.bufferSubData(e.ELEMENT_ARRAY_BUFFER,0,t.arrayBuffer)}destroy(){const t=this.context.gl;this.buffer&&(t.deleteBuffer(this.buffer),delete this.buffer)}}const tr={Int8:\"BYTE\",Uint8:\"UNSIGNED_BYTE\",Int16:\"SHORT\",Uint16:\"UNSIGNED_SHORT\",Int32:\"INT\",Uint32:\"UNSIGNED_INT\",Float32:\"FLOAT\"};class er{constructor(t,e,r,n){this.length=e.length,this.attributes=r,this.itemSize=e.bytesPerElement,this.dynamicDraw=n,this.context=t;const i=t.gl;this.buffer=i.createBuffer(),t.bindVertexBuffer.set(this.buffer),i.bufferData(i.ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?i.DYNAMIC_DRAW:i.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer}bind(){this.context.bindVertexBuffer.set(this.buffer)}updateData(t){if(t.length!==this.length)throw new Error(`Length of new data is ${t.length}, which doesn't match current length of ${this.length}`);const e=this.context.gl;this.bind(),e.bufferSubData(e.ARRAY_BUFFER,0,t.arrayBuffer)}enableAttributes(t,e){for(let r=0;r<this.attributes.length;r++){const n=this.attributes[r],i=e.attributes[n.name];void 0!==i&&t.enableVertexAttribArray(i)}}setVertexAttribPointers(t,e,r){for(let n=0;n<this.attributes.length;n++){const i=this.attributes[n],a=e.attributes[i.name];void 0!==a&&t.vertexAttribPointer(a,i.components,t[tr[i.type]],!1,this.itemSize,i.offset+this.itemSize*(r||0))}}destroy(){const t=this.context.gl;this.buffer&&(t.deleteBuffer(this.buffer),delete this.buffer)}}const rr=new WeakMap;function nr(t){var e;if(rr.has(t))return rr.get(t);{const r=null===(e=t.getParameter(t.VERSION))||void 0===e?void 0:e.startsWith(\"WebGL 2.0\");return rr.set(t,r),r}}class ir{constructor(t){this.gl=t.gl,this.default=this.getDefault(),this.current=this.default,this.dirty=!1}get(){return this.current}set(t){}getDefault(){return this.default}setDefault(){this.set(this.default)}}class ar extends ir{getDefault(){return e.aN.transparent}set(t){const e=this.current;(t.r!==e.r||t.g!==e.g||t.b!==e.b||t.a!==e.a||this.dirty)&&(this.gl.clearColor(t.r,t.g,t.b,t.a),this.current=t,this.dirty=!1)}}class or extends ir{getDefault(){return 1}set(t){(t!==this.current||this.dirty)&&(this.gl.clearDepth(t),this.current=t,this.dirty=!1)}}class sr extends ir{getDefault(){return 0}set(t){(t!==this.current||this.dirty)&&(this.gl.clearStencil(t),this.current=t,this.dirty=!1)}}class lr extends ir{getDefault(){return[!0,!0,!0,!0]}set(t){const e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||t[3]!==e[3]||this.dirty)&&(this.gl.colorMask(t[0],t[1],t[2],t[3]),this.current=t,this.dirty=!1)}}class cr extends ir{getDefault(){return!0}set(t){(t!==this.current||this.dirty)&&(this.gl.depthMask(t),this.current=t,this.dirty=!1)}}class ur extends ir{getDefault(){return 255}set(t){(t!==this.current||this.dirty)&&(this.gl.stencilMask(t),this.current=t,this.dirty=!1)}}class hr extends ir{getDefault(){return{func:this.gl.ALWAYS,ref:0,mask:255}}set(t){const e=this.current;(t.func!==e.func||t.ref!==e.ref||t.mask!==e.mask||this.dirty)&&(this.gl.stencilFunc(t.func,t.ref,t.mask),this.current=t,this.dirty=!1)}}class fr extends ir{getDefault(){const t=this.gl;return[t.KEEP,t.KEEP,t.KEEP]}set(t){const e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||this.dirty)&&(this.gl.stencilOp(t[0],t[1],t[2]),this.current=t,this.dirty=!1)}}class pr extends ir{getDefault(){return!1}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;t?e.enable(e.STENCIL_TEST):e.disable(e.STENCIL_TEST),this.current=t,this.dirty=!1}}class dr extends ir{getDefault(){return[0,1]}set(t){const e=this.current;(t[0]!==e[0]||t[1]!==e[1]||this.dirty)&&(this.gl.depthRange(t[0],t[1]),this.current=t,this.dirty=!1)}}class mr extends ir{getDefault(){return!1}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;t?e.enable(e.DEPTH_TEST):e.disable(e.DEPTH_TEST),this.current=t,this.dirty=!1}}class gr extends ir{getDefault(){return this.gl.LESS}set(t){(t!==this.current||this.dirty)&&(this.gl.depthFunc(t),this.current=t,this.dirty=!1)}}class yr extends ir{getDefault(){return!1}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;t?e.enable(e.BLEND):e.disable(e.BLEND),this.current=t,this.dirty=!1}}class vr extends ir{getDefault(){const t=this.gl;return[t.ONE,t.ZERO]}set(t){const e=this.current;(t[0]!==e[0]||t[1]!==e[1]||this.dirty)&&(this.gl.blendFunc(t[0],t[1]),this.current=t,this.dirty=!1)}}class xr extends ir{getDefault(){return e.aN.transparent}set(t){const e=this.current;(t.r!==e.r||t.g!==e.g||t.b!==e.b||t.a!==e.a||this.dirty)&&(this.gl.blendColor(t.r,t.g,t.b,t.a),this.current=t,this.dirty=!1)}}class _r extends ir{getDefault(){return this.gl.FUNC_ADD}set(t){(t!==this.current||this.dirty)&&(this.gl.blendEquation(t),this.current=t,this.dirty=!1)}}class br extends ir{getDefault(){return!1}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;t?e.enable(e.CULL_FACE):e.disable(e.CULL_FACE),this.current=t,this.dirty=!1}}class wr extends ir{getDefault(){return this.gl.BACK}set(t){(t!==this.current||this.dirty)&&(this.gl.cullFace(t),this.current=t,this.dirty=!1)}}class Tr extends ir{getDefault(){return this.gl.CCW}set(t){(t!==this.current||this.dirty)&&(this.gl.frontFace(t),this.current=t,this.dirty=!1)}}class kr extends ir{getDefault(){return null}set(t){(t!==this.current||this.dirty)&&(this.gl.useProgram(t),this.current=t,this.dirty=!1)}}class Ar extends ir{getDefault(){return this.gl.TEXTURE0}set(t){(t!==this.current||this.dirty)&&(this.gl.activeTexture(t),this.current=t,this.dirty=!1)}}class Mr extends ir{getDefault(){const t=this.gl;return[0,0,t.drawingBufferWidth,t.drawingBufferHeight]}set(t){const e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||t[3]!==e[3]||this.dirty)&&(this.gl.viewport(t[0],t[1],t[2],t[3]),this.current=t,this.dirty=!1)}}class Sr extends ir{getDefault(){return null}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;e.bindFramebuffer(e.FRAMEBUFFER,t),this.current=t,this.dirty=!1}}class Er extends ir{getDefault(){return null}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;e.bindRenderbuffer(e.RENDERBUFFER,t),this.current=t,this.dirty=!1}}class Cr extends ir{getDefault(){return null}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;e.bindTexture(e.TEXTURE_2D,t),this.current=t,this.dirty=!1}}class Lr extends ir{getDefault(){return null}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;e.bindBuffer(e.ARRAY_BUFFER,t),this.current=t,this.dirty=!1}}class Ir extends ir{getDefault(){return null}set(t){const e=this.gl;e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,t),this.current=t,this.dirty=!1}}class Pr extends ir{getDefault(){return null}set(t){var e;if(t===this.current&&!this.dirty)return;const r=this.gl;nr(r)?r.bindVertexArray(t):null===(e=r.getExtension(\"OES_vertex_array_object\"))||void 0===e||e.bindVertexArrayOES(t),this.current=t,this.dirty=!1}}class zr extends ir{getDefault(){return 4}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;e.pixelStorei(e.UNPACK_ALIGNMENT,t),this.current=t,this.dirty=!1}}class Or extends ir{getDefault(){return!1}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;e.pixelStorei(e.UNPACK_PREMULTIPLY_ALPHA_WEBGL,t),this.current=t,this.dirty=!1}}class Dr extends ir{getDefault(){return!1}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;e.pixelStorei(e.UNPACK_FLIP_Y_WEBGL,t),this.current=t,this.dirty=!1}}class Rr extends ir{constructor(t,e){super(t),this.context=t,this.parent=e}getDefault(){return null}}class Fr extends Rr{setDirty(){this.dirty=!0}set(t){if(t===this.current&&!this.dirty)return;this.context.bindFramebuffer.set(this.parent);const e=this.gl;e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0),this.current=t,this.dirty=!1}}class Br extends Rr{set(t){if(t===this.current&&!this.dirty)return;this.context.bindFramebuffer.set(this.parent);const e=this.gl;e.framebufferRenderbuffer(e.FRAMEBUFFER,e.DEPTH_ATTACHMENT,e.RENDERBUFFER,t),this.current=t,this.dirty=!1}}class Nr extends Rr{set(t){if(t===this.current&&!this.dirty)return;this.context.bindFramebuffer.set(this.parent);const e=this.gl;e.framebufferRenderbuffer(e.FRAMEBUFFER,e.DEPTH_STENCIL_ATTACHMENT,e.RENDERBUFFER,t),this.current=t,this.dirty=!1}}class jr{constructor(t,e,r,n,i){this.context=t,this.width=e,this.height=r;const a=t.gl,o=this.framebuffer=a.createFramebuffer();if(this.colorAttachment=new Fr(t,o),n)this.depthAttachment=i?new Nr(t,o):new Br(t,o);else if(i)throw new Error(\"Stencil cannot be set without depth\");if(a.checkFramebufferStatus(a.FRAMEBUFFER)!==a.FRAMEBUFFER_COMPLETE)throw new Error(\"Framebuffer is not complete\")}destroy(){const t=this.context.gl,e=this.colorAttachment.get();if(e&&t.deleteTexture(e),this.depthAttachment){const e=this.depthAttachment.get();e&&t.deleteRenderbuffer(e)}t.deleteFramebuffer(this.framebuffer)}}class Ur{constructor(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r}}Ur.Replace=[1,0],Ur.disabled=new Ur(Ur.Replace,e.aN.transparent,[!1,!1,!1,!1]),Ur.unblended=new Ur(Ur.Replace,e.aN.transparent,[!0,!0,!0,!0]),Ur.alphaBlended=new Ur([1,771],e.aN.transparent,[!0,!0,!0,!0]);class Vr{constructor(t){var e,r;if(this.gl=t,this.clearColor=new ar(this),this.clearDepth=new or(this),this.clearStencil=new sr(this),this.colorMask=new lr(this),this.depthMask=new cr(this),this.stencilMask=new ur(this),this.stencilFunc=new hr(this),this.stencilOp=new fr(this),this.stencilTest=new pr(this),this.depthRange=new dr(this),this.depthTest=new mr(this),this.depthFunc=new gr(this),this.blend=new yr(this),this.blendFunc=new vr(this),this.blendColor=new xr(this),this.blendEquation=new _r(this),this.cullFace=new br(this),this.cullFaceSide=new wr(this),this.frontFace=new Tr(this),this.program=new kr(this),this.activeTexture=new Ar(this),this.viewport=new Mr(this),this.bindFramebuffer=new Sr(this),this.bindRenderbuffer=new Er(this),this.bindTexture=new Cr(this),this.bindVertexBuffer=new Lr(this),this.bindElementBuffer=new Ir(this),this.bindVertexArray=new Pr(this),this.pixelStoreUnpack=new zr(this),this.pixelStoreUnpackPremultiplyAlpha=new Or(this),this.pixelStoreUnpackFlipY=new Dr(this),this.extTextureFilterAnisotropic=t.getExtension(\"EXT_texture_filter_anisotropic\")||t.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||t.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.maxTextureSize=t.getParameter(t.MAX_TEXTURE_SIZE),nr(t)){this.HALF_FLOAT=t.HALF_FLOAT;const n=t.getExtension(\"EXT_color_buffer_half_float\");this.RGBA16F=null!==(e=t.RGBA16F)&&void 0!==e?e:null==n?void 0:n.RGBA16F_EXT,this.RGB16F=null!==(r=t.RGB16F)&&void 0!==r?r:null==n?void 0:n.RGB16F_EXT,t.getExtension(\"EXT_color_buffer_float\")}else{t.getExtension(\"EXT_color_buffer_half_float\"),t.getExtension(\"OES_texture_half_float_linear\");const e=t.getExtension(\"OES_texture_half_float\");this.HALF_FLOAT=null==e?void 0:e.HALF_FLOAT_OES}}setDefault(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()}setDirty(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.bindVertexArray.dirty=!0,this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0}createIndexBuffer(t,e){return new Qe(this,t,e)}createVertexBuffer(t,e,r){return new er(this,t,e,r)}createRenderbuffer(t,e,r){const n=this.gl,i=n.createRenderbuffer();return this.bindRenderbuffer.set(i),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),i}createFramebuffer(t,e,r,n){return new jr(this,t,e,r,n)}clear({color:t,depth:e,stencil:r}){const n=this.gl;let i=0;t&&(i|=n.COLOR_BUFFER_BIT,this.clearColor.set(t),this.colorMask.set([!0,!0,!0,!0])),void 0!==e&&(i|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(e),this.depthMask.set(!0)),void 0!==r&&(i|=n.STENCIL_BUFFER_BIT,this.clearStencil.set(r),this.stencilMask.set(255)),n.clear(i)}setCullFace(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))}setDepthMode(t){t.func!==this.gl.ALWAYS||t.mask?(this.depthTest.set(!0),this.depthFunc.set(t.func),this.depthMask.set(t.mask),this.depthRange.set(t.range)):this.depthTest.set(!1)}setStencilMode(t){t.test.func!==this.gl.ALWAYS||t.mask?(this.stencilTest.set(!0),this.stencilMask.set(t.mask),this.stencilOp.set([t.fail,t.depthFail,t.pass]),this.stencilFunc.set({func:t.test.func,ref:t.ref,mask:t.test.mask})):this.stencilTest.set(!1)}setColorMode(t){e.aF(t.blendFunction,Ur.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(t.blendFunction),this.blendColor.set(t.blendColor)),this.colorMask.set(t.mask)}createVertexArray(){var t;return nr(this.gl)?this.gl.createVertexArray():null===(t=this.gl.getExtension(\"OES_vertex_array_object\"))||void 0===t?void 0:t.createVertexArrayOES()}deleteVertexArray(t){var e;return nr(this.gl)?this.gl.deleteVertexArray(t):null===(e=this.gl.getExtension(\"OES_vertex_array_object\"))||void 0===e?void 0:e.deleteVertexArrayOES(t)}unbindVAO(){this.bindVertexArray.set(null)}}class qr{constructor(t,e,r){this.func=t,this.mask=e,this.range=r}}qr.ReadOnly=!1,qr.ReadWrite=!0,qr.disabled=new qr(519,qr.ReadOnly,[0,1]);const Hr=7680;class Gr{constructor(t,e,r,n,i,a){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=i,this.pass=a}}Gr.disabled=new Gr({func:519,mask:0},0,0,Hr,Hr,Hr);class Zr{constructor(t,e,r){this.enable=t,this.mode=e,this.frontFace=r}}let Wr;function Yr(t,r,n,i,a){const o=t.context,s=o.gl,l=t.useProgram(\"collisionBox\"),c=[];let u=0,h=0;for(let f=0;f<i.length;f++){const p=i[f],d=r.getTile(p).getBucket(n);if(!d)continue;const m=a?d.textCollisionBox:d.iconCollisionBox,g=d.collisionCircleArray;if(g.length>0){const r=e.H();e.aR(r,d.placementInvProjMatrix,t.transform.glCoordMatrix),e.aR(r,r,d.placementViewportMatrix),c.push({circleArray:g,circleOffset:h,transform:p.posMatrix,invTransform:r,coord:p}),u+=g.length/4,h=u}m&&l.draw(o,s.LINES,qr.disabled,Gr.disabled,t.colorModeForRenderPass(),Zr.disabled,Le(t.transform,p.posMatrix),t.style.map.terrain&&t.style.map.terrain.getTerrainData(p),n.id,m.layoutVertexBuffer,m.indexBuffer,m.segments,null,t.transform.zoom,null,null,m.collisionVertexBuffer)}if(!a||!c.length)return;const f=t.useProgram(\"collisionCircle\"),p=new e.aS;p.resize(4*u),p._trim();let d=0;for(const t of c)for(let e=0;e<t.circleArray.length/4;e++){const r=4*e,n=t.circleArray[r+0],i=t.circleArray[r+1],a=t.circleArray[r+2],o=t.circleArray[r+3];p.emplace(d++,n,i,a,o,0),p.emplace(d++,n,i,a,o,1),p.emplace(d++,n,i,a,o,2),p.emplace(d++,n,i,a,o,3)}(!Wr||Wr.length<2*u)&&(Wr=function(t){const r=2*t,n=new e.aU;n.resize(r),n._trim();for(let t=0;t<r;t++){const e=6*t;n.uint16[e+0]=4*t+0,n.uint16[e+1]=4*t+1,n.uint16[e+2]=4*t+2,n.uint16[e+3]=4*t+2,n.uint16[e+4]=4*t+3,n.uint16[e+5]=4*t+0}return n}(u));const m=o.createIndexBuffer(Wr,!0),g=o.createVertexBuffer(p,e.aT.members,!0);for(const r of c){const i=Ie(r.transform,r.invTransform,t.transform);f.draw(o,s.TRIANGLES,qr.disabled,Gr.disabled,t.colorModeForRenderPass(),Zr.disabled,i,t.style.map.terrain&&t.style.map.terrain.getTerrainData(r.coord),n.id,g,m,e.a0.simpleSegment(0,2*r.circleOffset,r.circleArray.length,r.circleArray.length/2),null,t.transform.zoom,null,null,null)}g.destroy(),m.destroy()}Zr.disabled=new Zr(!1,1029,2305),Zr.backCCW=new Zr(!0,1029,2305);const Xr=e.ao(new Float32Array(16));function $r(t,r,n,i,a){if(\"translucent\"!==t.renderPass)return;const o=Gr.disabled,s=t.colorModeForRenderPass();(n._unevaluatedLayout.hasValue(\"text-variable-anchor\")||n._unevaluatedLayout.hasValue(\"text-variable-anchor-offset\"))&&function(t,r,n,i,a,o,s,l,c){const u=r.transform,h=ie(),f=\"map\"===a,p=\"map\"===o;for(const a of t){const t=i.getTile(a),o=t.getBucket(n);if(!o||!o.text||!o.text.segments.get().length)continue;const d=o.textSizeData,m=e.ah(d,u.zoom),g=Nt(t,1,r.transform.zoom),y=_t(a.posMatrix,p,f,r.transform,g),v=\"none\"!==n.layout.get(\"icon-text-fit\")&&o.hasIconData();if(m){const e=Math.pow(2,u.zoom-t.tileID.overscaledZ),n=r.style.map.terrain?(t,e)=>r.style.map.terrain.getElevation(a,t,e):null,i=h.translatePosition(u,t,s,l);Qr(o,f,p,c,u,y,a.posMatrix,e,m,v,h,i,a.toUnwrapped(),n)}}}(i,t,n,r,n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),a),0!==n.paint.get(\"icon-opacity\").constantOr(1)&&en(t,r,n,i,!1,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),n.layout.get(\"icon-rotation-alignment\"),n.layout.get(\"icon-pitch-alignment\"),n.layout.get(\"icon-keep-upright\"),o,s),0!==n.paint.get(\"text-opacity\").constantOr(1)&&en(t,r,n,i,!0,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),n.layout.get(\"text-keep-upright\"),o,s),r.map.showCollisionBoxes&&(Yr(t,r,n,i,!0),Yr(t,r,n,i,!1))}function Jr(t,r,n,i,a,o){const{horizontalAlign:s,verticalAlign:l}=e.av(t),c=-(s-.5)*r,u=-(l-.5)*n;return new e.P((c/a+i[0])*o,(u/a+i[1])*o)}function Kr(t,r,n,i,a,o){const s=r.tileAnchorPoint.add(new e.P(r.translation[0],r.translation[1]));if(r.pitchWithMap){let t=i.mult(o);return n||(t=t.rotate(-a)),wt(s.add(t),r.labelPlaneMatrix,r.getElevation).point}if(n){const e=It(r.tileAnchorPoint.x+1,r.tileAnchorPoint.y,r).point.sub(t),n=Math.atan(e.y/e.x)+(e.x<0?Math.PI:0);return t.add(i.rotate(n))}return t.add(i)}function Qr(t,r,n,i,a,o,s,l,c,u,h,f,p,d){const m=t.text.placedSymbolArray,g=t.text.dynamicLayoutVertexArray,y=t.icon.dynamicLayoutVertexArray,v={};g.clear();for(let y=0;y<m.length;y++){const x=m.get(y),_=t.allowVerticalPlacement&&!x.placedOrientation,b=x.hidden||!x.crossTileID||_?null:i[x.crossTileID];if(b){const i=new e.P(x.anchorX,x.anchorY),m={getElevation:d,width:a.width,height:a.height,labelPlaneMatrix:o,lineVertexArray:null,pitchWithMap:n,projection:h,projectionCache:null,tileAnchorPoint:i,translation:f,unwrappedTileID:p},y=n?wt(i,s,d):It(i.x,i.y,m),_=Tt(a.cameraToCenterDistance,y.signedDistanceFromCamera);let w=e.aj(t.textSizeData,c,x)*_/e.aq;n&&(w*=t.tilePixelRatio/l);const{width:T,height:k,anchor:A,textOffset:M,textBoxScale:S}=b,E=Jr(A,T,k,M,S,w),C=h.getPitchedTextCorrection(a,i.add(new e.P(f[0],f[1])),p),L=Kr(y.point,m,r,E,a.angle,C),I=t.allowVerticalPlacement&&x.placedOrientation===e.ai.vertical?Math.PI/2:0;for(let t=0;t<x.numGlyphs;t++)e.ak(g,L,I);u&&x.associatedIconIndex>=0&&(v[x.associatedIconIndex]={shiftedAnchor:L,angle:I})}else Rt(x.numGlyphs,g)}if(u){y.clear();const r=t.icon.placedSymbolArray;for(let t=0;t<r.length;t++){const n=r.get(t);if(n.hidden)Rt(n.numGlyphs,y);else{const r=v[t];if(r)for(let t=0;t<n.numGlyphs;t++)e.ak(y,r.shiftedAnchor,r.angle);else Rt(n.numGlyphs,y)}}t.icon.dynamicLayoutVertexBuffer.updateData(y)}t.text.dynamicLayoutVertexBuffer.updateData(g)}function tn(t,e,r){return r.iconsInText&&e?\"symbolTextAndIcon\":t?\"symbolSDF\":\"symbolIcon\"}function en(t,r,n,i,a,o,s,l,c,u,h,f){const p=t.context,d=p.gl,m=t.transform,g=ie(),y=\"map\"===l,v=\"map\"===c,x=\"viewport\"!==l&&\"point\"!==n.layout.get(\"symbol-placement\"),_=y&&!v&&!x,b=!v&&x,w=!n.layout.get(\"symbol-sort-key\").isConstant();let T=!1;const k=t.depthModeForSublayer(0,qr.ReadOnly),A=n._unevaluatedLayout.hasValue(\"text-variable-anchor\")||n._unevaluatedLayout.hasValue(\"text-variable-anchor-offset\"),M=[],S=g.getCircleRadiusCorrection(m);for(const l of i){const i=r.getTile(l),c=i.getBucket(n);if(!c)continue;const h=a?c.text:c.icon;if(!h||!h.segments.get().length||!h.hasVisibleVertices)continue;const f=h.programConfigurations.get(n.id),p=a||c.sdfIcons,k=a?c.textSizeData:c.iconSizeData,E=v||0!==m.pitch,C=t.useProgram(tn(p,a,c),f),L=e.ah(k,m.zoom),I=t.style.map.terrain&&t.style.map.terrain.getTerrainData(l);let P,z,O,D,R=[0,0],F=null;if(a){if(z=i.glyphAtlasTexture,O=d.LINEAR,P=i.glyphAtlasTexture.size,c.iconsInText){R=i.imageAtlasTexture.size,F=i.imageAtlasTexture;const e=\"composite\"===k.kind||\"camera\"===k.kind;D=E||t.options.rotating||t.options.zooming||e?d.LINEAR:d.NEAREST}}else{const e=1!==n.layout.get(\"icon-size\").constantOr(0)||c.iconsNeedLinear;z=i.imageAtlasTexture,O=p||t.options.rotating||t.options.zooming||e||E?d.LINEAR:d.NEAREST,P=i.imageAtlasTexture.size}const B=Nt(i,1,t.transform.zoom),N=b?l.posMatrix:Xr,j=_t(N,v,y,t.transform,B),U=bt(N,v,y,t.transform,B),V=bt(l.posMatrix,v,y,t.transform,B),q=g.translatePosition(t.transform,i,o,s),H=A&&c.hasTextData(),G=\"none\"!==n.layout.get(\"icon-text-fit\")&&H&&c.hasIconData();if(x){const e=t.style.map.terrain?(e,r)=>t.style.map.terrain.getElevation(l,e,r):null,r=\"map\"===n.layout.get(\"text-rotation-alignment\");At(c,l.posMatrix,t,a,j,V,v,u,r,g,l.toUnwrapped(),m.width,m.height,q,e)}const Z=l.posMatrix,W=a&&A||G,Y=x||W?Xr:j,X=U,$=p&&0!==n.paint.get(a?\"text-halo-width\":\"icon-halo-width\").constantOr(1);let J;J=p?c.iconsInText?Xe(k.kind,L,_,v,x,W,t,Z,Y,X,q,P,R,S):Ye(k.kind,L,_,v,x,W,t,Z,Y,X,q,a,P,!0,S):We(k.kind,L,_,v,x,W,t,Z,Y,X,q,a,P,S);const K={program:C,buffers:h,uniformValues:J,atlasTexture:z,atlasTextureIcon:F,atlasInterpolation:O,atlasInterpolationIcon:D,isSDF:p,hasHalo:$};if(w&&c.canOverlap){T=!0;const t=h.segments.get();for(const r of t)M.push({segments:new e.a0([r]),sortKey:r.sortKey,state:K,terrainData:I})}else M.push({segments:h.segments,sortKey:0,state:K,terrainData:I})}T&&M.sort(((t,e)=>t.sortKey-e.sortKey));for(const e of M){const r=e.state;if(p.activeTexture.set(d.TEXTURE0),r.atlasTexture.bind(r.atlasInterpolation,d.CLAMP_TO_EDGE),r.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),r.atlasTextureIcon&&r.atlasTextureIcon.bind(r.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),r.isSDF){const i=r.uniformValues;r.hasHalo&&(i.u_is_halo=1,rn(r.buffers,e.segments,n,t,r.program,k,h,f,i,e.terrainData)),i.u_is_halo=0}rn(r.buffers,e.segments,n,t,r.program,k,h,f,r.uniformValues,e.terrainData)}}function rn(t,e,r,n,i,a,o,s,l,c){const u=n.context,h=u.gl;i.draw(u,h.TRIANGLES,a,o,s,Zr.disabled,l,c,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function nn(t,r,n,i){if(0!==n.paint.get(\"heatmap-opacity\"))if(\"offscreen\"===t.renderPass){const a=t.context,o=a.gl,s=Gr.disabled,l=new Ur([o.ONE,o.ONE],e.aN.transparent,[!0,!0,!0,!0]);(function(t,e,r){const n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);let i=r.heatmapFbo;if(i)n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),t.bindFramebuffer.set(i.framebuffer);else{const a=n.createTexture();n.bindTexture(n.TEXTURE_2D,a),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),i=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1,!1),function(t,e,r,n){var i,a;const o=t.gl,s=null!==(i=t.HALF_FLOAT)&&void 0!==i?i:o.UNSIGNED_BYTE,l=null!==(a=t.RGBA16F)&&void 0!==a?a:o.RGBA;o.texImage2D(o.TEXTURE_2D,0,l,e.width/4,e.height/4,0,o.RGBA,s,null),n.colorAttachment.set(r)}(t,e,a,i)}})(a,t,n),a.clear({color:e.aN.transparent});for(let e=0;e<i.length;e++){const c=i[e];if(r.hasRenderableParent(c))continue;const u=r.getTile(c),h=u.getBucket(n);if(!h)continue;const f=h.programConfigurations.get(n.id),p=t.useProgram(\"heatmap\",f),{zoom:d}=t.transform;p.draw(a,o.TRIANGLES,qr.disabled,s,l,Zr.disabled,Oe(c.posMatrix,u,d,n.paint.get(\"heatmap-intensity\")),null,n.id,h.layoutVertexBuffer,h.indexBuffer,h.segments,n.paint,t.transform.zoom,f)}a.viewport.set([0,0,t.width,t.height])}else\"translucent\"===t.renderPass&&(t.context.setColorMode(t.colorModeForRenderPass()),function(t,e){const r=t.context,n=r.gl,i=e.heatmapFbo;if(!i)return;r.activeTexture.set(n.TEXTURE0),n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),r.activeTexture.set(n.TEXTURE1);let a=e.colorRampTexture;a||(a=e.colorRampTexture=new w(r,e.colorRamp,n.RGBA)),a.bind(n.LINEAR,n.CLAMP_TO_EDGE),t.useProgram(\"heatmapTexture\").draw(r,n.TRIANGLES,qr.disabled,Gr.disabled,t.colorModeForRenderPass(),Zr.disabled,De(t,e,0,1),null,e.id,t.viewportBuffer,t.quadTriangleIndexBuffer,t.viewportSegments,e.paint,t.transform.zoom)}(t,n))}function an(t,e,r,n,i){if(!r||!n||!n.imageAtlas)return;const a=n.imageAtlas.patternPositions;let o=a[r.to.toString()],s=a[r.from.toString()];if(!o&&s&&(o=s),!s&&o&&(s=o),!o||!s){const t=i.getPaintProperty(e);o=a[t],s=a[t]}o&&s&&t.setConstantPatternPositions(o,s)}function on(t,e,r,n,i,a,o){const s=t.context.gl,l=\"fill-pattern\",c=r.paint.get(l),u=c&&c.constantOr(1),h=r.getCrossfadeParameters();let f,p,d,m,g;o?(p=u&&!r.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",f=s.LINES):(p=u?\"fillPattern\":\"fill\",f=s.TRIANGLES);const y=c.constantOr(null);for(const c of n){const n=e.getTile(c);if(u&&!n.patternsLoaded())continue;const v=n.getBucket(r);if(!v)continue;const x=v.programConfigurations.get(r.id),_=t.useProgram(p,x),b=t.style.map.terrain&&t.style.map.terrain.getTerrainData(c);u&&(t.context.activeTexture.set(s.TEXTURE0),n.imageAtlasTexture.bind(s.LINEAR,s.CLAMP_TO_EDGE),x.updatePaintBuffers(h)),an(x,l,y,n,r);const w=b?c:null,T=w?w.posMatrix:c.posMatrix,k=t.translatePosMatrix(T,n,r.paint.get(\"fill-translate\"),r.paint.get(\"fill-translate-anchor\"));if(o){m=v.indexBuffer2,g=v.segments2;const e=[s.drawingBufferWidth,s.drawingBufferHeight];d=\"fillOutlinePattern\"===p&&u?Ee(k,t,h,n,e):Se(k,e)}else m=v.indexBuffer,g=v.segments,d=u?Me(k,t,h,n):Ae(k);_.draw(t.context,f,i,t.stencilModeForClipping(c),a,Zr.disabled,d,b,r.id,v.layoutVertexBuffer,m,g,r.paint,t.transform.zoom,x)}}function sn(t,e,r,n,i,a,o){const s=t.context,l=s.gl,c=\"fill-extrusion-pattern\",u=r.paint.get(c),h=u.constantOr(1),f=r.getCrossfadeParameters(),p=r.paint.get(\"fill-extrusion-opacity\"),d=u.constantOr(null);for(const u of n){const n=e.getTile(u),m=n.getBucket(r);if(!m)continue;const g=t.style.map.terrain&&t.style.map.terrain.getTerrainData(u),y=m.programConfigurations.get(r.id),v=t.useProgram(h?\"fillExtrusionPattern\":\"fillExtrusion\",y);h&&(t.context.activeTexture.set(l.TEXTURE0),n.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),y.updatePaintBuffers(f)),an(y,c,d,n,r);const x=t.translatePosMatrix(u.posMatrix,n,r.paint.get(\"fill-extrusion-translate\"),r.paint.get(\"fill-extrusion-translate-anchor\")),_=r.paint.get(\"fill-extrusion-vertical-gradient\"),b=h?ke(x,t,_,p,u,f,n):Te(x,t,_,p);v.draw(s,s.gl.TRIANGLES,i,a,o,Zr.backCCW,b,g,r.id,m.layoutVertexBuffer,m.indexBuffer,m.segments,r.paint,t.transform.zoom,y,t.style.map.terrain&&m.centroidVertexBuffer)}}function ln(t,e,r,n,i,a,o){const s=t.context,l=s.gl,c=r.fbo;if(!c)return;const u=t.useProgram(\"hillshade\"),h=t.style.map.terrain&&t.style.map.terrain.getTerrainData(e);s.activeTexture.set(l.TEXTURE0),l.bindTexture(l.TEXTURE_2D,c.colorAttachment.get());const f=h?e:null;u.draw(s,l.TRIANGLES,i,a,o,Zr.disabled,Re(t,r,n,f),h,n.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}function cn(t,e,r,n,i,a){const o=t.context,s=o.gl,l=e.dem;if(l&&l.data){const c=l.dim,u=l.stride,h=l.getPixels();if(o.activeTexture.set(s.TEXTURE1),o.pixelStoreUnpackPremultiplyAlpha.set(!1),e.demTexture=e.demTexture||t.getTileTexture(u),e.demTexture){const t=e.demTexture;t.update(h,{premultiply:!1}),t.bind(s.NEAREST,s.CLAMP_TO_EDGE)}else e.demTexture=new w(o,h,s.RGBA,{premultiply:!1}),e.demTexture.bind(s.NEAREST,s.CLAMP_TO_EDGE);o.activeTexture.set(s.TEXTURE0);let f=e.fbo;if(!f){const t=new w(o,{width:c,height:c,data:null},s.RGBA);t.bind(s.LINEAR,s.CLAMP_TO_EDGE),f=e.fbo=o.createFramebuffer(c,c,!0,!1),f.colorAttachment.set(t.texture)}o.bindFramebuffer.set(f.framebuffer),o.viewport.set([0,0,c,c]),t.useProgram(\"hillshadePrepare\").draw(o,s.TRIANGLES,n,i,a,Zr.disabled,Fe(e.tileID,l),null,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments),e.needsHillshadePrepare=!1}}function un(t,r,n,i,o,s){const l=i.paint.get(\"raster-fade-duration\");if(!s&&l>0){const i=a.now(),s=(i-t.timeAdded)/l,c=r?(i-r.timeAdded)/l:-1,u=n.getSource(),h=o.coveringZoomLevel({tileSize:u.tileSize,roundZoom:u.roundZoom}),f=!r||Math.abs(r.tileID.overscaledZ-h)>Math.abs(t.tileID.overscaledZ-h),p=f&&t.refreshedUponExpiration?1:e.ad(f?s:1-c,0,1);return t.refreshedUponExpiration&&s>=1&&(t.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}const hn=new e.aN(1,0,0,1),fn=new e.aN(0,1,0,1),pn=new e.aN(0,0,1,1),dn=new e.aN(1,0,1,1),mn=new e.aN(0,1,1,1);function gn(t){const e=t.transform.padding;yn(t,t.transform.height-(e.top||0),3,hn),yn(t,e.bottom||0,3,fn),vn(t,e.left||0,3,pn),vn(t,t.transform.width-(e.right||0),3,dn);const r=t.transform.centerPoint;!function(t,e,r,n){const i=20,a=2;xn(t,e-a/2,r-i/2,a,i,n),xn(t,e-i/2,r-a/2,i,a,n)}(t,r.x,t.transform.height-r.y,mn)}function yn(t,e,r,n){xn(t,0,e+r/2,t.transform.width,r,n)}function vn(t,e,r,n){xn(t,e-r/2,0,r,t.transform.height,n)}function xn(t,e,r,n,i,a){const o=t.context,s=o.gl;s.enable(s.SCISSOR_TEST),s.scissor(e*t.pixelRatio,r*t.pixelRatio,n*t.pixelRatio,i*t.pixelRatio),o.clear({color:a}),s.disable(s.SCISSOR_TEST)}function _n(t,r,n){const i=t.context,a=i.gl,o=n.posMatrix,s=t.useProgram(\"debug\"),l=qr.disabled,c=Gr.disabled,u=t.colorModeForRenderPass(),h=\"$debug\",f=t.style.map.terrain&&t.style.map.terrain.getTerrainData(n);i.activeTexture.set(a.TEXTURE0);const p=r.getTileByID(n.key).latestRawTileData,d=p&&p.byteLength||0,m=Math.floor(d/1024),g=r.getTile(n).tileSize,y=512/Math.min(g,512)*(n.overscaledZ/t.transform.zoom)*.5;let v=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(v+=` => ${n.overscaledZ}`),function(t,e){t.initDebugOverlayCanvas();const r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext(\"2d\");i.clearRect(0,0,r.width,r.height),i.shadowColor=\"white\",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle=\"white\",i.textBaseline=\"top\",i.font=\"bold 36px Open Sans, sans-serif\",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(t,`${v} ${m}kB`),s.draw(i,a.TRIANGLES,l,c,Ur.alphaBlended,Zr.disabled,Pe(o,e.aN.transparent,y),null,h,t.debugBuffer,t.quadTriangleIndexBuffer,t.debugSegments),s.draw(i,a.LINE_STRIP,l,c,u,Zr.disabled,Pe(o,e.aN.red),f,h,t.debugBuffer,t.tileBorderIndexBuffer,t.debugSegments)}function bn(t,e,r){const n=t.context,i=n.gl,a=t.colorModeForRenderPass(),o=new qr(i.LEQUAL,qr.ReadWrite,t.depthRangeFor3D),s=t.useProgram(\"terrain\"),l=e.getTerrainMesh();n.bindFramebuffer.set(null),n.viewport.set([0,0,t.width,t.height]);for(const c of r){const r=t.renderToTexture.getTexture(c),u=e.getTerrainData(c.tileID);n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,r.texture);const h=t.transform.calculatePosMatrix(c.tileID.toUnwrapped()),f=e.getMeshFrameDelta(t.transform.zoom),p=t.transform.calculateFogMatrix(c.tileID.toUnwrapped()),d=xe(h,f,p,t.style.sky,t.transform.pitch);s.draw(n,i.TRIANGLES,o,Gr.disabled,a,Zr.backCCW,d,u,\"terrain\",l.vertexBuffer,l.indexBuffer,l.segments)}}class wn{constructor(t,e,r){this.vertexBuffer=t,this.indexBuffer=e,this.segments=r}destroy(){this.vertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.vertexBuffer=null,this.indexBuffer=null,this.segments=null}}class Tn{constructor(t,r){this.context=new Vr(t),this.transform=r,this._tileTextures={},this.terrainFacilitator={dirty:!0,matrix:e.ao(new Float64Array(16)),renderTime:0},this.setup(),this.numSublayers=dt.maxUnderzooming+dt.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new he}resize(t,e,r){if(this.width=Math.floor(t*r),this.height=Math.floor(e*r),this.pixelRatio=r,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(const t of this.style._order)this.style._layers[t].resize()}setup(){const t=this.context,r=new e.aX;r.emplaceBack(0,0),r.emplaceBack(e.X,0),r.emplaceBack(0,e.X),r.emplaceBack(e.X,e.X),this.tileExtentBuffer=t.createVertexBuffer(r,me.members),this.tileExtentSegments=e.a0.simpleSegment(0,0,4,2);const n=new e.aX;n.emplaceBack(0,0),n.emplaceBack(e.X,0),n.emplaceBack(0,e.X),n.emplaceBack(e.X,e.X),this.debugBuffer=t.createVertexBuffer(n,me.members),this.debugSegments=e.a0.simpleSegment(0,0,4,5);const i=new e.$;i.emplaceBack(0,0,0,0),i.emplaceBack(e.X,0,e.X,0),i.emplaceBack(0,e.X,0,e.X),i.emplaceBack(e.X,e.X,e.X,e.X),this.rasterBoundsBuffer=t.createVertexBuffer(i,et.members),this.rasterBoundsSegments=e.a0.simpleSegment(0,0,4,2);const a=new e.aX;a.emplaceBack(0,0),a.emplaceBack(1,0),a.emplaceBack(0,1),a.emplaceBack(1,1),this.viewportBuffer=t.createVertexBuffer(a,me.members),this.viewportSegments=e.a0.simpleSegment(0,0,4,2);const o=new e.aZ;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=t.createIndexBuffer(o);const s=new e.aY;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=t.createIndexBuffer(s);const l=this.context.gl;this.stencilClearMode=new Gr({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)}clearStencil(){const t=this.context,r=t.gl;this.nextStencilID=1,this.currentStencilSource=void 0;const n=e.H();e.aQ(n,0,this.width,this.height,0,0,1),e.K(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(t,r.TRIANGLES,qr.disabled,this.stencilClearMode,Ur.disabled,Zr.disabled,ze(n),null,\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)}_renderTileClippingMasks(t,e){if(this.currentStencilSource===t.source||!t.isTileClipped()||!e||!e.length)return;this.currentStencilSource=t.source;const r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(Ur.disabled),r.setDepthMode(qr.disabled);const i=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(const t of e){const e=this._tileClippingMaskIDs[t.key]=this.nextStencilID++,a=this.style.map.terrain&&this.style.map.terrain.getTerrainData(t);i.draw(r,n.TRIANGLES,qr.disabled,new Gr({func:n.ALWAYS,mask:0},e,255,n.KEEP,n.KEEP,n.REPLACE),Ur.disabled,Zr.disabled,ze(t.posMatrix),a,\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}stencilModeFor3D(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();const t=this.nextStencilID++,e=this.context.gl;return new Gr({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)}stencilModeForClipping(t){const e=this.context.gl;return new Gr({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)}stencilConfigForOverlap(t){const e=this.context.gl,r=t.sort(((t,e)=>e.overscaledZ-t.overscaledZ)),n=r[r.length-1].overscaledZ,i=r[0].overscaledZ-n+1;if(i>1){this.currentStencilSource=void 0,this.nextStencilID+i>256&&this.clearStencil();const t={};for(let r=0;r<i;r++)t[r+n]=new Gr({func:e.GEQUAL,mask:255},r+this.nextStencilID,255,e.KEEP,e.KEEP,e.REPLACE);return this.nextStencilID+=i,[t,r]}return[{[n]:Gr.disabled},r]}colorModeForRenderPass(){const t=this.context.gl;if(this._showOverdrawInspector){const r=1/8;return new Ur([t.CONSTANT_COLOR,t.ONE],new e.aN(r,r,r,0),[!0,!0,!0,!0])}return\"opaque\"===this.renderPass?Ur.unblended:Ur.alphaBlended}depthModeForSublayer(t,e,r){if(!this.opaquePassEnabledForLayer())return qr.disabled;const n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new qr(r||this.context.gl.LEQUAL,e,[n,n])}opaquePassEnabledForLayer(){return this.currentLayer<this.opaquePassCutoff}render(t,r){var n;this.style=t,this.options=r,this.lineAtlas=t.lineAtlas,this.imageManager=t.imageManager,this.glyphManager=t.glyphManager,this.symbolFadeChange=t.placement.symbolFadeChange(a.now()),this.imageManager.beginFrame();const i=this.style._order,o=this.style.sourceCaches,s={},l={},c={};for(const t in o){const e=o[t];e.used&&e.prepare(this.context),s[t]=e.getVisibleCoordinates(),l[t]=s[t].slice().reverse(),c[t]=e.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(let t=0;t<i.length;t++){const e=i[t];if(this.style._layers[e].is3D()){this.opaquePassCutoff=t;break}}this.maybeDrawDepthAndCoords(!1),this.renderToTexture&&(this.renderToTexture.prepareForRender(this.style,this.transform.zoom),this.opaquePassCutoff=0),this.renderPass=\"offscreen\";for(const t of i){const e=this.style._layers[t];if(!e.hasOffscreenPass()||e.isHidden(this.transform.zoom))continue;const r=l[e.source];(\"custom\"===e.type||r.length)&&this.renderLayer(this,o[e.source],e,r)}if(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?e.aN.black:e.aN.transparent,depth:1}),this.clearStencil(),(null===(n=this.style.stylesheet)||void 0===n?void 0:n.sky)&&function(t,r){const n=t.context,i=n.gl,a=((t,e,r)=>({u_sky_color:t.properties.get(\"sky-color\"),u_horizon_color:t.properties.get(\"horizon-color\"),u_horizon:(e.height/2+e.getHorizon())*r,u_sky_horizon_blend:t.properties.get(\"sky-horizon-blend\")*e.height/2*r}))(r,t.style.map.transform,t.pixelRatio),o=new qr(i.LEQUAL,qr.ReadWrite,[0,1]),s=Gr.disabled,l=t.colorModeForRenderPass(),c=t.useProgram(\"sky\");if(!r.mesh){const t=new e.aX;t.emplaceBack(-1,-1),t.emplaceBack(1,-1),t.emplaceBack(1,1),t.emplaceBack(-1,1);const i=new e.aY;i.emplaceBack(0,1,2),i.emplaceBack(0,2,3),r.mesh=new wn(n.createVertexBuffer(t,me.members),n.createIndexBuffer(i),e.a0.simpleSegment(0,0,t.length,i.length))}c.draw(n,i.TRIANGLES,o,s,l,Zr.disabled,a,void 0,\"sky\",r.mesh.vertexBuffer,r.mesh.indexBuffer,r.mesh.segments)}(this,this.style.sky),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(t._order.length+2)*this.numSublayers*this.depthEpsilon],!this.renderToTexture)for(this.renderPass=\"opaque\",this.currentLayer=i.length-1;this.currentLayer>=0;this.currentLayer--){const t=this.style._layers[i[this.currentLayer]],e=o[t.source],r=s[t.source];this._renderTileClippingMasks(t,r),this.renderLayer(this,e,t,r)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<i.length;this.currentLayer++){const t=this.style._layers[i[this.currentLayer]],e=o[t.source];if(this.renderToTexture&&this.renderToTexture.renderLayer(t))continue;const r=(\"symbol\"===t.type?c:l)[t.source];this._renderTileClippingMasks(t,s[t.source]),this.renderLayer(this,e,t,r)}if(this.options.showTileBoundaries){const t=function(t,e){let r=null;const n=Object.values(t._layers).flatMap((r=>r.source&&!r.isHidden(e)?[t.sourceCaches[r.source]]:[])),i=n.filter((t=>\"vector\"===t.getSource().type)),a=n.filter((t=>\"vector\"!==t.getSource().type)),o=t=>{(!r||r.getSource().maxzoom<t.getSource().maxzoom)&&(r=t)};return i.forEach((t=>o(t))),r||a.forEach((t=>o(t))),r}(this.style,this.transform.zoom);t&&function(t,e,r){for(let n=0;n<r.length;n++)_n(t,e,r[n])}(this,t,t.getVisibleCoordinates())}this.options.showPadding&&gn(this),this.context.setDefault()}maybeDrawDepthAndCoords(t){if(!this.style||!this.style.map||!this.style.map.terrain)return;const r=this.terrainFacilitator.matrix,n=this.transform.modelViewProjectionMatrix;let i=this.terrainFacilitator.dirty;i||(i=t?!e.a_(r,n):!e.a$(r,n)),i||(i=this.style.map.terrain.sourceCache.tilesAfterTime(this.terrainFacilitator.renderTime).length>0),i&&(e.b0(r,n),this.terrainFacilitator.renderTime=Date.now(),this.terrainFacilitator.dirty=!1,function(t,r){const n=t.context,i=n.gl,a=Ur.unblended,o=new qr(i.LEQUAL,qr.ReadWrite,[0,1]),s=r.getTerrainMesh(),l=r.sourceCache.getRenderableTiles(),c=t.useProgram(\"terrainDepth\");n.bindFramebuffer.set(r.getFramebuffer(\"depth\").framebuffer),n.viewport.set([0,0,t.width/devicePixelRatio,t.height/devicePixelRatio]),n.clear({color:e.aN.transparent,depth:1});for(const e of l){const l=r.getTerrainData(e.tileID),u={u_matrix:t.transform.calculatePosMatrix(e.tileID.toUnwrapped()),u_ele_delta:r.getMeshFrameDelta(t.transform.zoom)};c.draw(n,i.TRIANGLES,o,Gr.disabled,a,Zr.backCCW,u,l,\"terrain\",s.vertexBuffer,s.indexBuffer,s.segments)}n.bindFramebuffer.set(null),n.viewport.set([0,0,t.width,t.height])}(this,this.style.map.terrain),function(t,r){const n=t.context,i=n.gl,a=Ur.unblended,o=new qr(i.LEQUAL,qr.ReadWrite,[0,1]),s=r.getTerrainMesh(),l=r.getCoordsTexture(),c=r.sourceCache.getRenderableTiles(),u=t.useProgram(\"terrainCoords\");n.bindFramebuffer.set(r.getFramebuffer(\"coords\").framebuffer),n.viewport.set([0,0,t.width/devicePixelRatio,t.height/devicePixelRatio]),n.clear({color:e.aN.transparent,depth:1}),r.coordsIndex=[];for(const e of c){const c=r.getTerrainData(e.tileID);n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,l.texture);const h={u_matrix:t.transform.calculatePosMatrix(e.tileID.toUnwrapped()),u_terrain_coords_id:(255-r.coordsIndex.length)/255,u_texture:0,u_ele_delta:r.getMeshFrameDelta(t.transform.zoom)};u.draw(n,i.TRIANGLES,o,Gr.disabled,a,Zr.backCCW,h,c,\"terrain\",s.vertexBuffer,s.indexBuffer,s.segments),r.coordsIndex.push(e.tileID.key)}n.bindFramebuffer.set(null),n.viewport.set([0,0,t.width,t.height])}(this,this.style.map.terrain))}renderLayer(t,r,n,i){if(!n.isHidden(this.transform.zoom)&&(\"background\"===n.type||\"custom\"===n.type||(i||[]).length))switch(this.id=n.id,n.type){case\"symbol\":$r(t,r,n,i,this.style.placement.variableOffsets);break;case\"circle\":!function(t,r,n,i){if(\"translucent\"!==t.renderPass)return;const a=n.paint.get(\"circle-opacity\"),o=n.paint.get(\"circle-stroke-width\"),s=n.paint.get(\"circle-stroke-opacity\"),l=!n.layout.get(\"circle-sort-key\").isConstant();if(0===a.constantOr(1)&&(0===o.constantOr(1)||0===s.constantOr(1)))return;const c=t.context,u=c.gl,h=t.depthModeForSublayer(0,qr.ReadOnly),f=Gr.disabled,p=t.colorModeForRenderPass(),d=[];for(let a=0;a<i.length;a++){const o=i[a],s=r.getTile(o),c=s.getBucket(n);if(!c)continue;const u=c.programConfigurations.get(n.id),h=t.useProgram(\"circle\",u),f=c.layoutVertexBuffer,p=c.indexBuffer,m=t.style.map.terrain&&t.style.map.terrain.getTerrainData(o),g={programConfiguration:u,program:h,layoutVertexBuffer:f,indexBuffer:p,uniformValues:Ce(t,o,s,n),terrainData:m};if(l){const t=c.segments.get();for(const r of t)d.push({segments:new e.a0([r]),sortKey:r.sortKey,state:g})}else d.push({segments:c.segments,sortKey:0,state:g})}l&&d.sort(((t,e)=>t.sortKey-e.sortKey));for(const e of d){const{programConfiguration:r,program:i,layoutVertexBuffer:a,indexBuffer:o,uniformValues:s,terrainData:l}=e.state,d=e.segments;i.draw(c,u.TRIANGLES,h,f,p,Zr.disabled,s,l,n.id,a,o,d,n.paint,t.transform.zoom,r)}}(t,r,n,i);break;case\"heatmap\":nn(t,r,n,i);break;case\"line\":!function(t,r,n,i){if(\"translucent\"!==t.renderPass)return;const a=n.paint.get(\"line-opacity\"),o=n.paint.get(\"line-width\");if(0===a.constantOr(1)||0===o.constantOr(1))return;const s=t.depthModeForSublayer(0,qr.ReadOnly),l=t.colorModeForRenderPass(),c=n.paint.get(\"line-dasharray\"),u=n.paint.get(\"line-pattern\"),h=u.constantOr(1),f=n.paint.get(\"line-gradient\"),p=n.getCrossfadeParameters(),d=h?\"linePattern\":c?\"lineSDF\":f?\"lineGradient\":\"line\",m=t.context,g=m.gl;let y=!0;for(const a of i){const i=r.getTile(a);if(h&&!i.patternsLoaded())continue;const o=i.getBucket(n);if(!o)continue;const v=o.programConfigurations.get(n.id),x=t.context.program.get(),_=t.useProgram(d,v),b=y||_.program!==x,T=t.style.map.terrain&&t.style.map.terrain.getTerrainData(a),k=u.constantOr(null);if(k&&i.imageAtlas){const t=i.imageAtlas,e=t.patternPositions[k.to.toString()],r=t.patternPositions[k.from.toString()];e&&r&&v.setConstantPatternPositions(e,r)}const A=T?a:null,M=h?Ue(t,i,n,p,A):c?Ve(t,i,n,c,p,A):f?je(t,i,n,o.lineClipsArray.length,A):Ne(t,i,n,A);if(h)m.activeTexture.set(g.TEXTURE0),i.imageAtlasTexture.bind(g.LINEAR,g.CLAMP_TO_EDGE),v.updatePaintBuffers(p);else if(c&&(b||t.lineAtlas.dirty))m.activeTexture.set(g.TEXTURE0),t.lineAtlas.bind(m);else if(f){const i=o.gradients[n.id];let s=i.texture;if(n.gradientVersion!==i.version){let l=256;if(n.stepInterpolant){const n=r.getSource().maxzoom,i=a.canonical.z===n?Math.ceil(1<<t.transform.maxZoom-a.canonical.z):1,s=o.maxLineLength/e.X*1024*i;l=e.ad(e.aV(s),256,m.maxTextureSize)}i.gradient=e.aW({expression:n.gradientExpression(),evaluationKey:\"lineProgress\",resolution:l,image:i.gradient||void 0,clips:o.lineClipsArray}),i.texture?i.texture.update(i.gradient):i.texture=new w(m,i.gradient,g.RGBA),i.version=n.gradientVersion,s=i.texture}m.activeTexture.set(g.TEXTURE0),s.bind(n.stepInterpolant?g.NEAREST:g.LINEAR,g.CLAMP_TO_EDGE)}_.draw(m,g.TRIANGLES,s,t.stencilModeForClipping(a),l,Zr.disabled,M,T,n.id,o.layoutVertexBuffer,o.indexBuffer,o.segments,n.paint,t.transform.zoom,v,o.layoutVertexBuffer2),y=!1}}(t,r,n,i);break;case\"fill\":!function(t,r,n,i){const a=n.paint.get(\"fill-color\"),o=n.paint.get(\"fill-opacity\");if(0===o.constantOr(1))return;const s=t.colorModeForRenderPass(),l=n.paint.get(\"fill-pattern\"),c=t.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(e.aN.transparent).a&&1===o.constantOr(0)?\"opaque\":\"translucent\";if(t.renderPass===c){const e=t.depthModeForSublayer(1,\"opaque\"===t.renderPass?qr.ReadWrite:qr.ReadOnly);on(t,r,n,i,e,s,!1)}if(\"translucent\"===t.renderPass&&n.paint.get(\"fill-antialias\")){const e=t.depthModeForSublayer(n.getPaintProperty(\"fill-outline-color\")?2:0,qr.ReadOnly);on(t,r,n,i,e,s,!0)}}(t,r,n,i);break;case\"fill-extrusion\":!function(t,e,r,n){const i=r.paint.get(\"fill-extrusion-opacity\");if(0!==i&&\"translucent\"===t.renderPass){const a=new qr(t.context.gl.LEQUAL,qr.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get(\"fill-extrusion-pattern\").constantOr(1))sn(t,e,r,n,a,Gr.disabled,Ur.disabled),sn(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{const i=t.colorModeForRenderPass();sn(t,e,r,n,a,Gr.disabled,i)}}}(t,r,n,i);break;case\"hillshade\":!function(t,e,r,n){if(\"offscreen\"!==t.renderPass&&\"translucent\"!==t.renderPass)return;const i=t.context,a=t.depthModeForSublayer(0,qr.ReadOnly),o=t.colorModeForRenderPass(),[s,l]=\"translucent\"===t.renderPass?t.stencilConfigForOverlap(n):[{},n];for(const n of l){const i=e.getTile(n);void 0!==i.needsHillshadePrepare&&i.needsHillshadePrepare&&\"offscreen\"===t.renderPass?cn(t,i,r,a,Gr.disabled,o):\"translucent\"===t.renderPass&&ln(t,n,i,r,a,s[n.overscaledZ],o)}i.viewport.set([0,0,t.width,t.height])}(t,r,n,i);break;case\"raster\":!function(t,e,r,n){if(\"translucent\"!==t.renderPass)return;if(0===r.paint.get(\"raster-opacity\"))return;if(!n.length)return;const i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram(\"raster\"),l=t.colorModeForRenderPass(),[c,u]=o instanceof rt?[{},n]:t.stencilConfigForOverlap(n),h=u[u.length-1].overscaledZ,f=!t.options.moving;for(const n of u){const u=t.depthModeForSublayer(n.overscaledZ-h,1===r.paint.get(\"raster-opacity\")?qr.ReadWrite:qr.ReadOnly,a.LESS),p=e.getTile(n);p.registerFadeDuration(r.paint.get(\"raster-fade-duration\"));const d=e.findLoadedParent(n,0),m=e.findLoadedSibling(n),g=un(p,d||m||null,e,r,t.transform,t.style.map.terrain);let y,v;const x=\"nearest\"===r.paint.get(\"raster-resampling\")?a.NEAREST:a.LINEAR;i.activeTexture.set(a.TEXTURE0),p.texture.bind(x,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),i.activeTexture.set(a.TEXTURE1),d?(d.texture.bind(x,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),y=Math.pow(2,d.tileID.overscaledZ-p.tileID.overscaledZ),v=[p.tileID.canonical.x*y%1,p.tileID.canonical.y*y%1]):p.texture.bind(x,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),p.texture.useMipmap&&i.extTextureFilterAnisotropic&&t.transform.pitch>20&&a.texParameterf(a.TEXTURE_2D,i.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,i.extTextureFilterAnisotropicMax);const _=t.style.map.terrain&&t.style.map.terrain.getTerrainData(n),b=_?n:null,w=b?b.posMatrix:t.transform.calculatePosMatrix(n.toUnwrapped(),f),T=Ge(w,v||[0,0],y||1,g,r);o instanceof rt?s.draw(i,a.TRIANGLES,u,Gr.disabled,l,Zr.disabled,T,_,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,u,c[n.overscaledZ],l,Zr.disabled,T,_,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}(t,r,n,i);break;case\"background\":!function(t,e,r,n){const i=r.paint.get(\"background-color\"),a=r.paint.get(\"background-opacity\");if(0===a)return;const o=t.context,s=o.gl,l=t.transform,c=l.tileSize,u=r.paint.get(\"background-pattern\");if(t.isPatternMissing(u))return;const h=!u&&1===i.a&&1===a&&t.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(t.renderPass!==h)return;const f=Gr.disabled,p=t.depthModeForSublayer(0,\"opaque\"===h?qr.ReadWrite:qr.ReadOnly),d=t.colorModeForRenderPass(),m=t.useProgram(u?\"backgroundPattern\":\"background\"),g=n||l.coveringTiles({tileSize:c,terrain:t.style.map.terrain});u&&(o.activeTexture.set(s.TEXTURE0),t.imageManager.bind(t.context));const y=r.getCrossfadeParameters();for(const e of g){const l=n?e.posMatrix:t.transform.calculatePosMatrix(e.toUnwrapped()),h=u?Je(l,a,t,u,{tileID:e,tileSize:c},y):$e(l,a,i),g=t.style.map.terrain&&t.style.map.terrain.getTerrainData(e);m.draw(o,s.TRIANGLES,p,f,d,Zr.disabled,h,g,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}(t,0,n,i);break;case\"custom\":!function(t,e,r){const n=t.context,i=r.implementation;if(\"offscreen\"===t.renderPass){const e=i.prerender;e&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),e.call(i,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if(\"translucent\"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(Gr.disabled);const e=\"3d\"===i.renderingMode?new qr(t.context.gl.LEQUAL,qr.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,qr.ReadOnly);n.setDepthMode(e),i.render(n.gl,t.transform.customLayerMatrix(),{farZ:t.transform.farZ,nearZ:t.transform.nearZ,fov:t.transform._fov,modelViewProjectionMatrix:t.transform.modelViewProjectionMatrix,projectionMatrix:t.transform.projectionMatrix}),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}(t,0,n)}}translatePosMatrix(t,r,n,i,a){if(!n[0]&&!n[1])return t;const o=a?\"map\"===i?this.transform.angle:0:\"viewport\"===i?-this.transform.angle:0;if(o){const t=Math.sin(o),e=Math.cos(o);n=[n[0]*e-n[1]*t,n[0]*t+n[1]*e]}const s=[a?n[0]:Nt(r,n[0],this.transform.zoom),a?n[1]:Nt(r,n[1],this.transform.zoom),0],l=new Float32Array(16);return e.J(l,t,s),l}saveTileTexture(t){const e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]}getTileTexture(t){const e=this._tileTextures[t];return e&&e.length>0?e.pop():null}isPatternMissing(t){if(!t)return!1;if(!t.from||!t.to)return!0;const e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r}useProgram(t,e){this.cache=this.cache||{};const r=t+(e?e.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\")+(this.style.map.terrain?\"/terrain\":\"\");return this.cache[r]||(this.cache[r]=new be(this.context,ge[t],e,Ke[t],this._showOverdrawInspector,this.style.map.terrain)),this.cache[r]}setCustomLayerDefaults(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()}setBaseState(){const t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)}initDebugOverlayCanvas(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;const t=this.context.gl;this.debugOverlayTexture=new w(this.context,this.debugOverlayCanvas,t.RGBA)}}destroy(){this.debugOverlayTexture&&this.debugOverlayTexture.destroy()}overLimit(){const{drawingBufferWidth:t,drawingBufferHeight:e}=this.context.gl;return this.width!==t||this.height!==e}}class kn{constructor(t,e){this.points=t,this.planes=e}static fromInvProjectionMatrix(t,r,n){const i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((n=>{const a=1/(n=e.ag([],n,t))[3]/r*i;return e.b1(n,n,[a,a,1/n[3],a])})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((t=>{const e=function(t,e){var r=e[0],n=e[1],i=e[2],a=r*r+n*n+i*i;return a>0&&(a=1/Math.sqrt(a)),t[0]=e[0]*a,t[1]=e[1]*a,t[2]=e[2]*a,t}([],function(t,e,r){var n=e[0],i=e[1],a=e[2],o=r[0],s=r[1],l=r[2];return t[0]=i*l-a*s,t[1]=a*o-n*l,t[2]=n*s-i*o,t}([],y([],a[t[0]],a[t[1]]),y([],a[t[2]],a[t[1]]))),r=(n=e,i=a[t[1]],-(n[0]*i[0]+n[1]*i[1]+n[2]*i[2]));var n,i;return e.concat(r)}));return new kn(a,o)}}class An{constructor(t,e){this.min=t,this.max=e,this.center=function(t,e,r){return t[0]=e[0]*r,t[1]=e[1]*r,t[2]=e[2]*r,t}([],function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t}([],this.min,this.max),.5)}quadrant(t){const e=[t%2==0,t<2],r=m(this.min),n=m(this.max);for(let t=0;t<e.length;t++)r[t]=e[t]?this.min[t]:this.center[t],n[t]=e[t]?this.center[t]:this.max[t];return n[2]=this.max[2],new An(r,n)}distanceX(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]}distanceY(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]}intersects(t){const r=[[this.min[0],this.min[1],this.min[2],1],[this.max[0],this.min[1],this.min[2],1],[this.max[0],this.max[1],this.min[2],1],[this.min[0],this.max[1],this.min[2],1],[this.min[0],this.min[1],this.max[2],1],[this.max[0],this.min[1],this.max[2],1],[this.max[0],this.max[1],this.max[2],1],[this.min[0],this.max[1],this.max[2],1]];let n=!0;for(let i=0;i<t.planes.length;i++){const a=t.planes[i];let o=0;for(let t=0;t<r.length;t++)e.b2(a,r[t])>=0&&o++;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(let e=0;e<3;e++){let r=Number.MAX_VALUE,n=-Number.MAX_VALUE;for(let i=0;i<t.points.length;i++){const a=t.points[i][e]-this.min[e];r=Math.min(r,a),n=Math.max(n,a)}if(n<0||r>this.max[e]-this.min[e])return 0}return 1}}class Mn{constructor(t=0,e=0,r=0,n=0){if(isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error(\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\");this.top=t,this.bottom=e,this.left=r,this.right=n}interpolate(t,r,n){return null!=r.top&&null!=t.top&&(this.top=e.z.number(t.top,r.top,n)),null!=r.bottom&&null!=t.bottom&&(this.bottom=e.z.number(t.bottom,r.bottom,n)),null!=r.left&&null!=t.left&&(this.left=e.z.number(t.left,r.left,n)),null!=r.right&&null!=t.right&&(this.right=e.z.number(t.right,r.right,n)),this}getCenter(t,r){const n=e.ad((this.left+t-this.right)/2,0,t),i=e.ad((this.top+r-this.bottom)/2,0,r);return new e.P(n,i)}equals(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right}clone(){return new Mn(this.top,this.bottom,this.left,this.right)}toJSON(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}}}const Sn=85.051129;class En{constructor(t,r,n,i,a){this.tileSize=512,this._renderWorldCopies=void 0===a||!!a,this._minZoom=t||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new e.N(0,0),this._elevation=0,this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new Mn,this._posMatrixCache={},this._alignedPosMatrixCache={},this._fogMatrixCache={},this.minElevationForCurrentTile=0}clone(){const t=new En(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.apply(this),t}apply(t){this.tileSize=t.tileSize,this.latRange=t.latRange,this.width=t.width,this.height=t.height,this._center=t._center,this._elevation=t._elevation,this.minElevationForCurrentTile=t.minElevationForCurrentTile,this.zoom=t.zoom,this.angle=t.angle,this._fov=t._fov,this._pitch=t._pitch,this._unmodified=t._unmodified,this._edgeInsets=t._edgeInsets.clone(),this._calcMatrices()}get minZoom(){return this._minZoom}set minZoom(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))}get maxZoom(){return this._maxZoom}set maxZoom(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))}get minPitch(){return this._minPitch}set minPitch(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))}get maxPitch(){return this._maxPitch}set maxPitch(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))}get renderWorldCopies(){return this._renderWorldCopies}set renderWorldCopies(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t}get worldSize(){return this.tileSize*this.scale}get centerOffset(){return this.centerPoint._sub(this.size._div(2))}get size(){return new e.P(this.width,this.height)}get bearing(){return-this.angle/Math.PI*180}set bearing(t){const r=-e.b3(t,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=function(){var t=new e.A(4);return e.A!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t}(),function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=Math.sin(r),l=Math.cos(r);t[0]=n*l+a*s,t[1]=i*l+o*s,t[2]=n*-s+a*l,t[3]=i*-s+o*l}(this.rotationMatrix,this.rotationMatrix,this.angle))}get pitch(){return this._pitch/Math.PI*180}set pitch(t){const r=e.ad(t,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())}get fov(){return this._fov/Math.PI*180}set fov(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())}get zoom(){return this._zoom}set zoom(t){const e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.tileZoom=Math.max(0,Math.floor(e)),this.scale=this.zoomScale(e),this._constrain(),this._calcMatrices())}get center(){return this._center}set center(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())}get elevation(){return this._elevation}set elevation(t){t!==this._elevation&&(this._elevation=t,this._constrain(),this._calcMatrices())}get padding(){return this._edgeInsets.toJSON()}set padding(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())}get centerPoint(){return this._edgeInsets.getCenter(this.width,this.height)}isPaddingEqual(t){return this._edgeInsets.equals(t)}interpolatePadding(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()}coveringZoomLevel(t){const e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)}getVisibleUnwrappedCoordinates(t){const r=[new e.b4(0,t)];if(this._renderWorldCopies){const n=this.pointCoordinate(new e.P(0,0)),i=this.pointCoordinate(new e.P(this.width,0)),a=this.pointCoordinate(new e.P(this.width,this.height)),o=this.pointCoordinate(new e.P(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),c=1;for(let n=s-c;n<=l+c;n++)0!==n&&r.push(new e.b4(n,t))}return r}coveringTiles(t){var r,n;let i=this.coveringZoomLevel(t);const a=i;if(void 0!==t.minzoom&&i<t.minzoom)return[];void 0!==t.maxzoom&&i>t.maxzoom&&(i=t.maxzoom);const o=this.pointCoordinate(this.getCameraPoint()),s=e.Z.fromLngLat(this.center),l=Math.pow(2,i),c=[l*o.x,l*o.y,0],u=[l*s.x,l*s.y,0],h=kn.fromInvProjectionMatrix(this.invModelViewProjectionMatrix,this.worldSize,i);let f=t.minzoom||0;!t.terrain&&this.pitch<=60&&this._edgeInsets.top<.1&&(f=i);const p=t.terrain?2/Math.min(this.tileSize,t.tileSize)*this.tileSize:3,d=t=>({aabb:new An([t*l,0,0],[(t+1)*l,l,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}),m=[],g=[],y=i,x=t.reparseOverscaled?a:i;if(this._renderWorldCopies)for(let t=1;t<=3;t++)m.push(d(-t)),m.push(d(t));for(m.push(d(0));m.length>0;){const i=m.pop(),a=i.x,o=i.y;let s=i.fullyVisible;if(!s){const t=i.aabb.intersects(h);if(0===t)continue;s=2===t}const l=t.terrain?c:u,d=i.aabb.distanceX(l),_=i.aabb.distanceY(l),b=Math.max(Math.abs(d),Math.abs(_)),w=p+(1<<y-i.zoom)-2;if(i.zoom===y||b>w&&i.zoom>=f){const t=y-i.zoom,r=c[0]-.5-(a<<t),n=c[1]-.5-(o<<t);g.push({tileID:new e.S(i.zoom===y?x:i.zoom,i.wrap,i.zoom,a,o),distanceSq:v([u[0]-.5-a,u[1]-.5-o]),tileDistanceToCamera:Math.sqrt(r*r+n*n)})}else for(let l=0;l<4;l++){const c=(a<<1)+l%2,u=(o<<1)+(l>>1),h=i.zoom+1;let f=i.aabb.quadrant(l);if(t.terrain){const a=new e.S(h,i.wrap,h,c,u),o=t.terrain.getMinMaxElevation(a),s=null!==(r=o.minElevation)&&void 0!==r?r:this.elevation,l=null!==(n=o.maxElevation)&&void 0!==n?n:this.elevation;f=new An([f.min[0],f.min[1],s],[f.max[0],f.max[1],l])}m.push({aabb:f,zoom:h,x:c,y:u,wrap:i.wrap,fullyVisible:s})}}return g.sort(((t,e)=>t.distanceSq-e.distanceSq)).map((t=>t.tileID))}resize(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()}get unmodified(){return this._unmodified}zoomScale(t){return Math.pow(2,t)}scaleZoom(t){return Math.log(t)/Math.LN2}project(t){const r=e.ad(t.lat,-85.051129,Sn);return new e.P(e.O(t.lng)*this.worldSize,e.Q(r)*this.worldSize)}unproject(t){return new e.Z(t.x/this.worldSize,t.y/this.worldSize).toLngLat()}get point(){return this.project(this.center)}getCameraPosition(){return{lngLat:this.pointLocation(this.getCameraPoint()),altitude:Math.cos(this._pitch)*this.cameraToCenterDistance/this._pixelPerMeter+this.elevation}}recalculateZoom(t){const r=this.elevation,n=Math.cos(this._pitch)*this.cameraToCenterDistance/this._pixelPerMeter,i=this.pointLocation(this.centerPoint,t),a=t.getElevationForLngLatZoom(i,this.tileZoom);if(!(this.elevation-a))return;const o=n+r-a,s=Math.cos(this._pitch)*this.cameraToCenterDistance/o/e.b5(1,i.lat)/this.tileSize,l=this.scaleZoom(s);this._elevation=a,this._center=i,this.zoom=l}setLocationAtPoint(t,r){const n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(t),o=new e.Z(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())}locationPoint(t,e){return e?this.coordinatePoint(this.locationCoordinate(t),e.getElevationForLngLatZoom(t,this.tileZoom),this.pixelMatrix3D):this.coordinatePoint(this.locationCoordinate(t))}pointLocation(t,e){return this.coordinateLocation(this.pointCoordinate(t,e))}locationCoordinate(t){return e.Z.fromLngLat(t)}coordinateLocation(t){return t&&t.toLngLat()}pointCoordinate(t,r){if(r){const e=r.pointCoordinate(t);if(null!=e)return e}const n=[t.x,t.y,0,1],i=[t.x,t.y,1,1];e.ag(n,n,this.pixelMatrixInverse),e.ag(i,i,this.pixelMatrixInverse);const a=n[3],o=i[3],s=n[0]/a,l=i[0]/o,c=n[1]/a,u=i[1]/o,h=n[2]/a,f=i[2]/o,p=h===f?0:(0-h)/(f-h);return new e.Z(e.z.number(s,l,p)/this.worldSize,e.z.number(c,u,p)/this.worldSize)}coordinatePoint(t,r=0,n=this.pixelMatrix){const i=[t.x*this.worldSize,t.y*this.worldSize,r,1];return e.ag(i,i,n),new e.P(i[0]/i[3],i[1]/i[3])}getBounds(){const t=Math.max(0,this.height/2-this.getHorizon());return(new X).extend(this.pointLocation(new e.P(0,t))).extend(this.pointLocation(new e.P(this.width,t))).extend(this.pointLocation(new e.P(this.width,this.height))).extend(this.pointLocation(new e.P(0,this.height)))}getMaxBounds(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new X([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null}getHorizon(){return Math.tan(Math.PI/2-this._pitch)*this.cameraToCenterDistance*.85}setMaxBounds(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-85.051129,Sn])}calculateTileMatrix(t){const r=t.canonical,n=this.worldSize/this.zoomScale(r.z),i=r.x+Math.pow(2,r.z)*t.wrap,a=e.ao(new Float64Array(16));return e.J(a,a,[i*n,r.y*n,0]),e.K(a,a,[n/e.X,n/e.X,1]),a}calculatePosMatrix(t,r=!1){const n=t.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];const a=this.calculateTileMatrix(t);return e.L(a,r?this.alignedModelViewProjectionMatrix:this.modelViewProjectionMatrix,a),i[n]=new Float32Array(a),i[n]}calculateFogMatrix(t){const r=t.key,n=this._fogMatrixCache;if(n[r])return n[r];const i=this.calculateTileMatrix(t);return e.L(i,this.fogMatrix,i),n[r]=new Float32Array(i),n[r]}customLayerMatrix(){return this.mercatorMatrix.slice()}getConstrained(t,r){r=e.ad(+r,this.minZoom,this.maxZoom);const n={center:new e.N(t.lng,t.lat),zoom:r};let i=this.lngRange;if(!this._renderWorldCopies&&null===i){const t=180-1e-10;i=[-t,t]}const a=this.tileSize*this.zoomScale(n.zoom);let o=0,s=a,l=0,c=a,u=0,h=0;const{x:f,y:p}=this.size;if(this.latRange){const t=this.latRange;o=e.Q(t[1])*a,s=e.Q(t[0])*a,s-o<p&&(u=p/(s-o))}i&&(l=e.b3(e.O(i[0])*a,0,a),c=e.b3(e.O(i[1])*a,0,a),c<l&&(c+=a),c-l<f&&(h=f/(c-l)));const{x:d,y:m}=this.project.call({worldSize:a},t);let g,y;const v=Math.max(h||0,u||0);if(v){const t=new e.P(h?(c+l)/2:d,u?(s+o)/2:m);return n.center=this.unproject.call({worldSize:a},t).wrap(),n.zoom+=this.scaleZoom(v),n}if(this.latRange){const t=p/2;m-t<o&&(y=o+t),m+t>s&&(y=s-t)}if(i){const t=(l+c)/2;let r=d;this._renderWorldCopies&&(r=e.b3(d,t-a/2,t+a/2));const n=f/2;r-n<l&&(g=l+n),r+n>c&&(g=c-n)}if(void 0!==g||void 0!==y){const t=new e.P(null!=g?g:d,null!=y?y:m);n.center=this.unproject.call({worldSize:a},t).wrap()}return n}_constrain(){if(!this.center||!this.width||!this.height||this._constraining)return;this._constraining=!0;const t=this._unmodified,{center:e,zoom:r}=this.getConstrained(this.center,this.zoom);this.center=e,this.zoom=r,this._unmodified=t,this._constraining=!1}_calcMatrices(){if(!this.height)return;const t=this._fov/2,r=this.centerOffset,n=this.point.x,i=this.point.y;this.cameraToCenterDistance=.5/Math.tan(t)*this.height,this._pixelPerMeter=e.b5(1,this.center.lat)*this.worldSize;let a=e.ao(new Float64Array(16));e.K(a,a,[this.width/2,-this.height/2,1]),e.J(a,a,[1,-1,0]),this.labelPlaneMatrix=a,a=e.ao(new Float64Array(16)),e.K(a,a,[1,-1,1]),e.J(a,a,[-1,-1,0]),e.K(a,a,[2/this.width,2/this.height,1]),this.glCoordMatrix=a;const o=this.cameraToCenterDistance+this._elevation*this._pixelPerMeter/Math.cos(this._pitch),s=Math.min(this.elevation,this.minElevationForCurrentTile),l=o-s*this._pixelPerMeter/Math.cos(this._pitch),c=s<0?l:o,u=Math.PI/2+this._pitch,h=this._fov*(.5+r.y/this.height),f=Math.sin(h)*c/Math.sin(e.ad(Math.PI-u-h,.01,Math.PI-.01)),p=this.getHorizon(),d=2*Math.atan(p/this.cameraToCenterDistance)*(.5+r.y/(2*p)),m=Math.sin(d)*c/Math.sin(e.ad(Math.PI-u-d,.01,Math.PI-.01)),g=Math.min(f,m);this.farZ=1.01*(Math.cos(Math.PI/2-this._pitch)*g+c),this.nearZ=this.height/50,a=new Float64Array(16),e.b6(a,this._fov,this.width/this.height,this.nearZ,this.farZ),a[8]=2*-r.x/this.width,a[9]=2*r.y/this.height,this.projectionMatrix=e.af(a),e.K(a,a,[1,-1,1]),e.J(a,a,[0,0,-this.cameraToCenterDistance]),e.b7(a,a,this._pitch),e.ae(a,a,this.angle),e.J(a,a,[-n,-i,0]),this.mercatorMatrix=e.K([],a,[this.worldSize,this.worldSize,this.worldSize]),e.K(a,a,[1,1,this._pixelPerMeter]),this.pixelMatrix=e.L(new Float64Array(16),this.labelPlaneMatrix,a),e.J(a,a,[0,0,-this.elevation]),this.modelViewProjectionMatrix=a,this.invModelViewProjectionMatrix=e.at([],a),this.fogMatrix=new Float64Array(16),e.b6(this.fogMatrix,this._fov,this.width/this.height,o,this.farZ),this.fogMatrix[8]=2*-r.x/this.width,this.fogMatrix[9]=2*r.y/this.height,e.K(this.fogMatrix,this.fogMatrix,[1,-1,1]),e.J(this.fogMatrix,this.fogMatrix,[0,0,-this.cameraToCenterDistance]),e.b7(this.fogMatrix,this.fogMatrix,this._pitch),e.ae(this.fogMatrix,this.fogMatrix,this.angle),e.J(this.fogMatrix,this.fogMatrix,[-n,-i,0]),e.K(this.fogMatrix,this.fogMatrix,[1,1,this._pixelPerMeter]),e.J(this.fogMatrix,this.fogMatrix,[0,0,-this.elevation]),this.pixelMatrix3D=e.L(new Float64Array(16),this.labelPlaneMatrix,a);const y=this.width%2/2,v=this.height%2/2,x=Math.cos(this.angle),_=Math.sin(this.angle),b=n-Math.round(n)+x*y+_*v,w=i-Math.round(i)+x*v+_*y,T=new Float64Array(a);if(e.J(T,T,[b>.5?b-1:b,w>.5?w-1:w,0]),this.alignedModelViewProjectionMatrix=T,a=e.at(new Float64Array(16),this.pixelMatrix),!a)throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=a,this._posMatrixCache={},this._alignedPosMatrixCache={},this._fogMatrixCache={}}maxPitchScaleFactor(){if(!this.pixelMatrixInverse)return 1;const t=this.pointCoordinate(new e.P(0,0)),r=[t.x*this.worldSize,t.y*this.worldSize,0,1];return e.ag(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance}getCameraPoint(){const t=this._pitch,r=Math.tan(t)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new e.P(0,r))}getCameraQueryGeometry(t){const r=this.getCameraPoint();if(1===t.length)return[t[0],r];{let n=r.x,i=r.y,a=r.x,o=r.y;for(const e of t)n=Math.min(n,e.x),i=Math.min(i,e.y),a=Math.max(a,e.x),o=Math.max(o,e.y);return[new e.P(n,i),new e.P(a,i),new e.P(a,o),new e.P(n,o),new e.P(n,i)]}}lngLatToCameraDepth(t,r){const n=this.locationCoordinate(t),i=[n.x*this.worldSize,n.y*this.worldSize,r,1];return e.ag(i,i,this.modelViewProjectionMatrix),i[2]/i[3]}}function Cn(t,e){let r,n=!1,i=null,a=null;const o=()=>{i=null,n&&(t.apply(a,r),i=setTimeout(o,e),n=!1)};return(...t)=>(n=!0,a=this,r=t,i||o(),i)}class Ln{constructor(t){this._getCurrentHash=()=>{const t=window.location.hash.replace(\"#\",\"\");if(this._hashName){let e;return t.split(\"&\").map((t=>t.split(\"=\"))).forEach((t=>{t[0]===this._hashName&&(e=t)})),(e&&e[1]||\"\").split(\"/\")}return t.split(\"/\")},this._onHashChange=()=>{const t=this._getCurrentHash();if(t.length>=3&&!t.some((t=>isNaN(t)))){const e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},this._updateHashUnthrottled=()=>{const t=window.location.href.replace(/(#.+)?$/,this.getHashString());window.history.replaceState(window.history.state,null,t)},this._removeHash=()=>{const t=this._getCurrentHash();if(0===t.length)return;const e=t.join(\"/\");let r=e;r.split(\"&\").length>0&&(r=r.split(\"&\")[0]),this._hashName&&(r=`${this._hashName}=${e}`);let n=window.location.hash.replace(r,\"\");n.startsWith(\"#&\")?n=n.slice(0,1)+n.slice(2):\"#\"===n&&(n=\"\");let i=window.location.href.replace(/(#.+)?$/,n);i=i.replace(\"&&\",\"&\"),window.history.replaceState(window.history.state,null,i)},this._updateHash=Cn(this._updateHashUnthrottled,300),this._hashName=t&&encodeURIComponent(t)}addTo(t){return this._map=t,addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this}remove(){return removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),this._removeHash(),delete this._map,this}getHashString(t){const e=this._map.getCenter(),r=Math.round(100*this._map.getZoom())/100,n=Math.ceil((r*Math.LN2+Math.log(512/360/.5))/Math.LN10),i=Math.pow(10,n),a=Math.round(e.lng*i)/i,o=Math.round(e.lat*i)/i,s=this._map.getBearing(),l=this._map.getPitch();let c=\"\";if(c+=t?`/${a}/${o}/${r}`:`${r}/${o}/${a}`,(s||l)&&(c+=\"/\"+Math.round(10*s)/10),l&&(c+=`/${Math.round(l)}`),this._hashName){const t=this._hashName;let e=!1;const r=window.location.hash.slice(1).split(\"&\").map((r=>{const n=r.split(\"=\")[0];return n===t?(e=!0,`${n}=${c}`):r})).filter((t=>t));return e||r.push(`${t}=${c}`),`#${r.join(\"&\")}`}return`#${c}`}}const In={linearity:.3,easing:e.b8(0,0,.3,1)},Pn=e.e({deceleration:2500,maxSpeed:1400},In),zn=e.e({deceleration:20,maxSpeed:1400},In),On=e.e({deceleration:1e3,maxSpeed:360},In),Dn=e.e({deceleration:1e3,maxSpeed:90},In);class Rn{constructor(t){this._map=t,this.clear()}clear(){this._inertiaBuffer=[]}record(t){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:a.now(),settings:t})}_drainInertiaBuffer(){const t=this._inertiaBuffer,e=a.now();for(;t.length>0&&e-t[0].time>160;)t.shift()}_onMoveEnd(t){if(this._drainInertiaBuffer(),this._inertiaBuffer.length<2)return;const r={zoom:0,bearing:0,pitch:0,pan:new e.P(0,0),pinchAround:void 0,around:void 0};for(const{settings:t}of this._inertiaBuffer)r.zoom+=t.zoomDelta||0,r.bearing+=t.bearingDelta||0,r.pitch+=t.pitchDelta||0,t.panDelta&&r.pan._add(t.panDelta),t.around&&(r.around=t.around),t.pinchAround&&(r.pinchAround=t.pinchAround);const n=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,i={};if(r.pan.mag()){const a=Bn(r.pan.mag(),n,e.e({},Pn,t||{}));i.offset=r.pan.mult(a.amount/r.pan.mag()),i.center=this._map.transform.center,Fn(i,a)}if(r.zoom){const t=Bn(r.zoom,n,zn);i.zoom=this._map.transform.zoom+t.amount,Fn(i,t)}if(r.bearing){const t=Bn(r.bearing,n,On);i.bearing=this._map.transform.bearing+e.ad(t.amount,-179,179),Fn(i,t)}if(r.pitch){const t=Bn(r.pitch,n,Dn);i.pitch=this._map.transform.pitch+t.amount,Fn(i,t)}if(i.zoom||i.bearing){const t=void 0===r.pinchAround?r.around:r.pinchAround;i.around=t?this._map.unproject(t):this._map.getCenter()}return this.clear(),e.e(i,{noMoveStart:!0})}}function Fn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function Bn(t,r,n){const{maxSpeed:i,linearity:a,deceleration:o}=n,s=e.ad(t*a/(r/1e3),-i,i),l=Math.abs(s)/(o*a);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}class Nn extends e.k{preventDefault(){this._defaultPrevented=!0}get defaultPrevented(){return this._defaultPrevented}constructor(t,r,n,i={}){const a=o.mousePos(r.getCanvas(),n),s=r.unproject(a);super(t,e.e({point:a,lngLat:s,originalEvent:n},i)),this._defaultPrevented=!1,this.target=r}}class jn extends e.k{preventDefault(){this._defaultPrevented=!0}get defaultPrevented(){return this._defaultPrevented}constructor(t,r,n){const i=\"touchend\"===t?n.changedTouches:n.touches,a=o.touchPos(r.getCanvasContainer(),i),s=a.map((t=>r.unproject(t))),l=a.reduce(((t,e,r,n)=>t.add(e.div(n.length))),new e.P(0,0));super(t,{points:a,point:l,lngLats:s,lngLat:r.unproject(l),originalEvent:n}),this._defaultPrevented=!1}}class Un extends e.k{preventDefault(){this._defaultPrevented=!0}get defaultPrevented(){return this._defaultPrevented}constructor(t,e,r){super(t,{originalEvent:r}),this._defaultPrevented=!1}}class Vn{constructor(t,e){this._map=t,this._clickTolerance=e.clickTolerance}reset(){delete this._mousedownPos}wheel(t){return this._firePreventable(new Un(t.type,this._map,t))}mousedown(t,e){return this._mousedownPos=e,this._firePreventable(new Nn(t.type,this._map,t))}mouseup(t){this._map.fire(new Nn(t.type,this._map,t))}click(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Nn(t.type,this._map,t))}dblclick(t){return this._firePreventable(new Nn(t.type,this._map,t))}mouseover(t){this._map.fire(new Nn(t.type,this._map,t))}mouseout(t){this._map.fire(new Nn(t.type,this._map,t))}touchstart(t){return this._firePreventable(new jn(t.type,this._map,t))}touchmove(t){this._map.fire(new jn(t.type,this._map,t))}touchend(t){this._map.fire(new jn(t.type,this._map,t))}touchcancel(t){this._map.fire(new jn(t.type,this._map,t))}_firePreventable(t){if(this._map.fire(t),t.defaultPrevented)return{}}isEnabled(){return!0}isActive(){return!1}enable(){}disable(){}}class qn{constructor(t){this._map=t}reset(){this._delayContextMenu=!1,this._ignoreContextMenu=!0,delete this._contextMenuEvent}mousemove(t){this._map.fire(new Nn(t.type,this._map,t))}mousedown(){this._delayContextMenu=!0,this._ignoreContextMenu=!1}mouseup(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Nn(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)}contextmenu(t){this._delayContextMenu?this._contextMenuEvent=t:this._ignoreContextMenu||this._map.fire(new Nn(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()}isEnabled(){return!0}isActive(){return!1}enable(){}disable(){}}class Hn{constructor(t){this._map=t}get transform(){return this._map._requestedCameraState||this._map.transform}get center(){return{lng:this.transform.center.lng,lat:this.transform.center.lat}}get zoom(){return this.transform.zoom}get pitch(){return this.transform.pitch}get bearing(){return this.transform.bearing}unproject(t){return this.transform.pointLocation(e.P.convert(t),this._map.terrain)}}class Gn{constructor(t,e){this._map=t,this._tr=new Hn(t),this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1}isEnabled(){return!!this._enabled}isActive(){return!!this._active}enable(){this.isEnabled()||(this._enabled=!0)}disable(){this.isEnabled()&&(this._enabled=!1)}mousedown(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(o.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)}mousemoveWindow(t,e){if(!this._active)return;const r=e;if(this._lastPos.equals(r)||!this._box&&r.dist(this._startPos)<this._clickTolerance)return;const n=this._startPos;this._lastPos=r,this._box||(this._box=o.create(\"div\",\"maplibregl-boxzoom\",this._container),this._container.classList.add(\"maplibregl-crosshair\"),this._fireEvent(\"boxzoomstart\",t));const i=Math.min(n.x,r.x),a=Math.max(n.x,r.x),s=Math.min(n.y,r.y),l=Math.max(n.y,r.y);o.setTransform(this._box,`translate(${i}px,${s}px)`),this._box.style.width=a-i+\"px\",this._box.style.height=l-s+\"px\"}mouseupWindow(t,r){if(!this._active)return;if(0!==t.button)return;const n=this._startPos,i=r;if(this.reset(),o.suppressClick(),n.x!==i.x||n.y!==i.y)return this._map.fire(new e.k(\"boxzoomend\",{originalEvent:t})),{cameraAnimation:t=>t.fitScreenCoordinates(n,i,this._tr.bearing,{linear:!0})};this._fireEvent(\"boxzoomcancel\",t)}keydown(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent(\"boxzoomcancel\",t))}reset(){this._active=!1,this._container.classList.remove(\"maplibregl-crosshair\"),this._box&&(o.remove(this._box),this._box=null),o.enableDrag(),delete this._startPos,delete this._lastPos}_fireEvent(t,r){return this._map.fire(new e.k(t,{originalEvent:r}))}}function Zn(t,e){if(t.length!==e.length)throw new Error(`The number of touches and points are not equal - touches ${t.length}, points ${e.length}`);const r={};for(let n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}class Wn{constructor(t){this.reset(),this.numTouches=t.numTouches}reset(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1}touchstart(t,r,n){(this.centroid||n.length>this.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=t.timeStamp),n.length===this.numTouches&&(this.centroid=function(t){const r=new e.P(0,0);for(const e of t)r._add(e);return r.div(t.length)}(r),this.touches=Zn(n,r)))}touchmove(t,e,r){if(this.aborted||!this.centroid)return;const n=Zn(r,e);for(const t in this.touches){const e=this.touches[t],r=n[t];(!r||r.dist(e)>30)&&(this.aborted=!0)}}touchend(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){const t=!this.aborted&&this.centroid;if(this.reset(),t)return t}}}class Yn{constructor(t){this.singleTap=new Wn(t),this.numTaps=t.numTaps,this.reset()}reset(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()}touchstart(t,e,r){this.singleTap.touchstart(t,e,r)}touchmove(t,e,r){this.singleTap.touchmove(t,e,r)}touchend(t,e,r){const n=this.singleTap.touchend(t,e,r);if(n){const e=t.timeStamp-this.lastTime<500,r=!this.lastTap||this.lastTap.dist(n)<30;if(e&&r||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}}}class Xn{constructor(t){this._tr=new Hn(t),this._zoomIn=new Yn({numTouches:1,numTaps:2}),this._zoomOut=new Yn({numTouches:2,numTaps:1}),this.reset()}reset(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()}touchstart(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)}touchmove(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)}touchend(t,e,r){const n=this._zoomIn.touchend(t,e,r),i=this._zoomOut.touchend(t,e,r),a=this._tr;return n?(this._active=!0,t.preventDefault(),setTimeout((()=>this.reset()),0),{cameraAnimation:e=>e.easeTo({duration:300,zoom:a.zoom+1,around:a.unproject(n)},{originalEvent:t})}):i?(this._active=!0,t.preventDefault(),setTimeout((()=>this.reset()),0),{cameraAnimation:e=>e.easeTo({duration:300,zoom:a.zoom-1,around:a.unproject(i)},{originalEvent:t})}):void 0}touchcancel(){this.reset()}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}}class $n{constructor(t){this._enabled=!!t.enable,this._moveStateManager=t.moveStateManager,this._clickTolerance=t.clickTolerance||1,this._moveFunction=t.move,this._activateOnStart=!!t.activateOnStart,t.assignEvents(this),this.reset()}reset(t){this._active=!1,this._moved=!1,delete this._lastPoint,this._moveStateManager.endMove(t)}_move(...t){const e=this._moveFunction(...t);if(e.bearingDelta||e.pitchDelta||e.around||e.panDelta)return this._active=!0,e}dragStart(t,e){this.isEnabled()&&!this._lastPoint&&this._moveStateManager.isValidStartEvent(t)&&(this._moveStateManager.startMove(t),this._lastPoint=e.length?e[0]:e,this._activateOnStart&&this._lastPoint&&(this._active=!0))}dragMove(t,e){if(!this.isEnabled())return;const r=this._lastPoint;if(!r)return;if(t.preventDefault(),!this._moveStateManager.isValidMoveEvent(t))return void this.reset(t);const n=e.length?e[0]:e;return!this._moved&&n.dist(r)<this._clickTolerance?void 0:(this._moved=!0,this._lastPoint=n,this._move(r,n))}dragEnd(t){this.isEnabled()&&this._lastPoint&&this._moveStateManager.isValidEndEvent(t)&&(this._moved&&o.suppressClick(),this.reset(t))}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}getClickTolerance(){return this._clickTolerance}}const Jn={0:1,2:2};class Kn{constructor(t){this._correctEvent=t.checkCorrectEvent}startMove(t){const e=o.mouseButton(t);this._eventButton=e}endMove(t){delete this._eventButton}isValidStartEvent(t){return this._correctEvent(t)}isValidMoveEvent(t){return!function(t,e){const r=Jn[e];return void 0===t.buttons||(t.buttons&r)!==r}(t,this._eventButton)}isValidEndEvent(t){return o.mouseButton(t)===this._eventButton}}class Qn{constructor(){this._firstTouch=void 0}_isOneFingerTouch(t){return 1===t.targetTouches.length}_isSameTouchEvent(t){return t.targetTouches[0].identifier===this._firstTouch}startMove(t){const e=t.targetTouches[0].identifier;this._firstTouch=e}endMove(t){delete this._firstTouch}isValidStartEvent(t){return this._isOneFingerTouch(t)}isValidMoveEvent(t){return this._isOneFingerTouch(t)&&this._isSameTouchEvent(t)}isValidEndEvent(t){return this._isOneFingerTouch(t)&&this._isSameTouchEvent(t)}}const ti=t=>{t.mousedown=t.dragStart,t.mousemoveWindow=t.dragMove,t.mouseup=t.dragEnd,t.contextmenu=t=>{t.preventDefault()}},ei=({enable:t,clickTolerance:e,bearingDegreesPerPixelMoved:r=.8})=>{const n=new Kn({checkCorrectEvent:t=>0===o.mouseButton(t)&&t.ctrlKey||2===o.mouseButton(t)});return new $n({clickTolerance:e,move:(t,e)=>({bearingDelta:(e.x-t.x)*r}),moveStateManager:n,enable:t,assignEvents:ti})},ri=({enable:t,clickTolerance:e,pitchDegreesPerPixelMoved:r=-.5})=>{const n=new Kn({checkCorrectEvent:t=>0===o.mouseButton(t)&&t.ctrlKey||2===o.mouseButton(t)});return new $n({clickTolerance:e,move:(t,e)=>({pitchDelta:(e.y-t.y)*r}),moveStateManager:n,enable:t,assignEvents:ti})};class ni{constructor(t,e){this._clickTolerance=t.clickTolerance||1,this._map=e,this.reset()}reset(){this._active=!1,this._touches={},this._sum=new e.P(0,0)}_shouldBePrevented(t){return t<(this._map.cooperativeGestures.isEnabled()?2:1)}touchstart(t,e,r){return this._calculateTransform(t,e,r)}touchmove(t,e,r){if(this._active){if(!this._shouldBePrevented(r.length))return t.preventDefault(),this._calculateTransform(t,e,r);this._map.cooperativeGestures.notifyGestureBlocked(\"touch_pan\",t)}}touchend(t,e,r){this._calculateTransform(t,e,r),this._active&&this._shouldBePrevented(r.length)&&this.reset()}touchcancel(){this.reset()}_calculateTransform(t,r,n){n.length>0&&(this._active=!0);const i=Zn(n,r),a=new e.P(0,0),o=new e.P(0,0);let s=0;for(const t in i){const e=i[t],r=this._touches[t];r&&(a._add(e),o._add(e.sub(r)),s++,i[t]=e)}if(this._touches=i,this._shouldBePrevented(s)||!o.mag())return;const l=o.div(s);return this._sum._add(l),this._sum.mag()<this._clickTolerance?void 0:{around:a.div(s),panDelta:l}}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}}class ii{constructor(){this.reset()}reset(){this._active=!1,delete this._firstTwoTouches}touchstart(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]))}touchmove(t,e,r){if(!this._firstTwoTouches)return;t.preventDefault();const[n,i]=this._firstTwoTouches,a=ai(r,e,n),o=ai(r,e,i);if(!a||!o)return;const s=this._aroundCenter?null:a.add(o).div(2);return this._move([a,o],s,t)}touchend(t,e,r){if(!this._firstTwoTouches)return;const[n,i]=this._firstTwoTouches,a=ai(r,e,n),s=ai(r,e,i);a&&s||(this._active&&o.suppressClick(),this.reset())}touchcancel(){this.reset()}enable(t){this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around}disable(){this._enabled=!1,this.reset()}isEnabled(){return!!this._enabled}isActive(){return!!this._active}}function ai(t,e,r){for(let n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}function oi(t,e){return Math.log(t/e)/Math.LN2}class si extends ii{reset(){super.reset(),delete this._distance,delete this._startDistance}_start(t){this._startDistance=this._distance=t[0].dist(t[1])}_move(t,e){const r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs(oi(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:oi(this._distance,r),pinchAround:e}}}function li(t,e){return 180*t.angleWith(e)/Math.PI}class ci extends ii{reset(){super.reset(),delete this._minDiameter,delete this._startVector,delete this._vector}_start(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])}_move(t,e,r){const n=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:li(this._vector,n),pinchAround:e}}_isBelowThreshold(t){this._minDiameter=Math.min(this._minDiameter,t.mag());const e=25/(Math.PI*this._minDiameter)*360,r=li(t,this._startVector);return Math.abs(r)<e}}function ui(t){return Math.abs(t.y)>Math.abs(t.x)}class hi extends ii{constructor(t){super(),this._currentTouchCount=0,this._map=t}reset(){super.reset(),this._valid=void 0,delete this._firstMove,delete this._lastPoints}touchstart(t,e,r){super.touchstart(t,e,r),this._currentTouchCount=r.length}_start(t){this._lastPoints=t,ui(t[0].sub(t[1]))&&(this._valid=!1)}_move(t,e,r){if(this._map.cooperativeGestures.isEnabled()&&this._currentTouchCount<3)return;const n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);return this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid?(this._lastPoints=t,this._active=!0,{pitchDelta:(n.y+i.y)/2*-.5}):void 0}gestureBeginsVertically(t,e,r){if(void 0!==this._valid)return this._valid;const n=t.mag()>=2,i=e.mag()>=2;if(!n&&!i)return;if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;const a=t.y>0==e.y>0;return ui(t)&&ui(e)&&a}}const fi={panStep:100,bearingStep:15,pitchStep:10};class pi{constructor(t){this._tr=new Hn(t);const e=fi;this._panStep=e.panStep,this._bearingStep=e.bearingStep,this._pitchStep=e.pitchStep,this._rotationDisabled=!1}reset(){this._active=!1}keydown(t){if(t.altKey||t.ctrlKey||t.metaKey)return;let e=0,r=0,n=0,i=0,a=0;switch(t.keyCode){case 61:case 107:case 171:case 187:e=1;break;case 189:case 109:case 173:e=-1;break;case 37:t.shiftKey?r=-1:(t.preventDefault(),i=-1);break;case 39:t.shiftKey?r=1:(t.preventDefault(),i=1);break;case 38:t.shiftKey?n=1:(t.preventDefault(),a=-1);break;case 40:t.shiftKey?n=-1:(t.preventDefault(),a=1);break;default:return}return this._rotationDisabled&&(r=0,n=0),{cameraAnimation:o=>{const s=this._tr;o.easeTo({duration:300,easeId:\"keyboardHandler\",easing:di,zoom:e?Math.round(s.zoom)+e*(t.shiftKey?2:1):s.zoom,bearing:s.bearing+r*this._bearingStep,pitch:s.pitch+n*this._pitchStep,offset:[-i*this._panStep,-a*this._panStep],center:s.center},{originalEvent:t})}}}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}disableRotation(){this._rotationDisabled=!0}enableRotation(){this._rotationDisabled=!1}}function di(t){return t*(2-t)}const mi=4.000244140625;class gi{constructor(t,e){this._onTimeout=t=>{this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},this._map=t,this._tr=new Hn(t),this._triggerRenderFrame=e,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=.0022222222222222222}setZoomRate(t){this._defaultZoomRate=t}setWheelZoomRate(t){this._wheelZoomRate=t}isEnabled(){return!!this._enabled}isActive(){return!!this._active||void 0!==this._finishTimeout}isZooming(){return!!this._zooming}enable(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around)}disable(){this.isEnabled()&&(this._enabled=!1)}_shouldBePrevented(t){return!!this._map.cooperativeGestures.isEnabled()&&!(t.ctrlKey||this._map.cooperativeGestures.isBypassed(t))}wheel(t){if(!this.isEnabled())return;if(this._shouldBePrevented(t))return void this._map.cooperativeGestures.notifyGestureBlocked(\"wheel_zoom\",t);let e=t.deltaMode===WheelEvent.DOM_DELTA_LINE?40*t.deltaY:t.deltaY;const r=a.now(),n=r-(this._lastWheelEventTime||0);this._lastWheelEventTime=r,0!==e&&e%mi==0?this._type=\"wheel\":0!==e&&Math.abs(e)<4?this._type=\"trackpad\":n>400?(this._type=null,this._lastValue=e,this._timeout=setTimeout(this._onTimeout,40,t)):this._type||(this._type=Math.abs(n*e)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,e+=this._lastValue)),t.shiftKey&&e&&(e/=4),this._type&&(this._lastWheelEvent=t,this._delta-=e,this._active||this._start(t)),t.preventDefault()}_start(t){if(!this._delta)return;this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);const r=o.mousePos(this._map.getCanvas(),t),n=this._tr;r.y>n.transform.height/2-n.transform.getHorizon()?this._around=e.N.convert(this._aroundCenter?n.center:n.unproject(r)):this._around=e.N.convert(n.center),this._aroundPoint=n.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._triggerRenderFrame())}renderFrame(){if(!this._frameId)return;if(this._frameId=null,!this.isActive())return;const t=this._tr.transform;if(0!==this._delta){const e=\"wheel\"===this._type&&Math.abs(this._delta)>mi?this._wheelZoomRate:this._defaultZoomRate;let r=2/(1+Math.exp(-Math.abs(this._delta*e)));this._delta<0&&0!==r&&(r=1/r);const n=\"number\"==typeof this._targetZoom?t.zoomScale(this._targetZoom):t.scale;this._targetZoom=Math.min(t.maxZoom,Math.max(t.minZoom,t.scaleZoom(n*r))),\"wheel\"===this._type&&(this._startZoom=t.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}const r=\"number\"==typeof this._targetZoom?this._targetZoom:t.zoom,n=this._startZoom,i=this._easing;let o,s=!1;const l=a.now()-this._lastWheelEventTime;if(\"wheel\"===this._type&&n&&i&&l){const t=Math.min(l/200,1),a=i(t);o=e.z.number(n,r,a),t<1?this._frameId||(this._frameId=!0):s=!0}else o=r,s=!0;return this._active=!0,s&&(this._active=!1,this._finishTimeout=setTimeout((()=>{this._zooming=!1,this._triggerRenderFrame(),delete this._targetZoom,delete this._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!s,zoomDelta:o-t.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}_smoothOutEasing(t){let r=e.b9;if(this._prevEase){const t=this._prevEase,n=(a.now()-t.start)/t.duration,i=t.easing(n+.01)-t.easing(n),o=.27/Math.sqrt(i*i+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=e.b8(o,s,.25,1)}return this._prevEase={start:a.now(),duration:t,easing:r},r}reset(){this._active=!1,this._zooming=!1,delete this._targetZoom,this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout)}}class yi{constructor(t,e){this._clickZoom=t,this._tapZoom=e}enable(){this._clickZoom.enable(),this._tapZoom.enable()}disable(){this._clickZoom.disable(),this._tapZoom.disable()}isEnabled(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()}isActive(){return this._clickZoom.isActive()||this._tapZoom.isActive()}}class vi{constructor(t){this._tr=new Hn(t),this.reset()}reset(){this._active=!1}dblclick(t,e){return t.preventDefault(),{cameraAnimation:r=>{r.easeTo({duration:300,zoom:this._tr.zoom+(t.shiftKey?-1:1),around:this._tr.unproject(e)},{originalEvent:t})}}}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}}class xi{constructor(){this._tap=new Yn({numTouches:1,numTaps:1}),this.reset()}reset(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,delete this._tapPoint,this._tap.reset()}touchstart(t,e,r){if(!this._swipePoint)if(this._tapTime){const n=e[0],i=t.timeStamp-this._tapTime<500,a=this._tapPoint.dist(n)<30;i&&a?r.length>0&&(this._swipePoint=n,this._swipeTouch=r[0].identifier):this.reset()}else this._tap.touchstart(t,e,r)}touchmove(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;const n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)}touchend(t,e,r){if(this._tapTime)this._swipePoint&&0===r.length&&this.reset();else{const n=this._tap.touchend(t,e,r);n&&(this._tapTime=t.timeStamp,this._tapPoint=n)}}touchcancel(){this.reset()}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}}class _i{constructor(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r}enable(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"maplibregl-touch-drag-pan\")}disable(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"maplibregl-touch-drag-pan\")}isEnabled(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()}isActive(){return this._mousePan.isActive()||this._touchPan.isActive()}}class bi{constructor(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r}enable(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()}disable(){this._mouseRotate.disable(),this._mousePitch.disable()}isEnabled(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())}isActive(){return this._mouseRotate.isActive()||this._mousePitch.isActive()}}class wi{constructor(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0}enable(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add(\"maplibregl-touch-zoom-rotate\")}disable(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"maplibregl-touch-zoom-rotate\")}isEnabled(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()}isActive(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()}disableRotation(){this._rotationDisabled=!0,this._touchRotate.disable()}enableRotation(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()}}class Ti{constructor(t,e){this._bypassKey=-1!==navigator.userAgent.indexOf(\"Mac\")?\"metaKey\":\"ctrlKey\",this._map=t,this._options=e,this._enabled=!1}isActive(){return!1}reset(){}_setupUI(){if(this._container)return;const t=this._map.getCanvasContainer();t.classList.add(\"maplibregl-cooperative-gestures\"),this._container=o.create(\"div\",\"maplibregl-cooperative-gesture-screen\",t);let e=this._map._getUIString(\"CooperativeGesturesHandler.WindowsHelpText\");\"metaKey\"===this._bypassKey&&(e=this._map._getUIString(\"CooperativeGesturesHandler.MacHelpText\"));const r=this._map._getUIString(\"CooperativeGesturesHandler.MobileHelpText\"),n=document.createElement(\"div\");n.className=\"maplibregl-desktop-message\",n.textContent=e,this._container.appendChild(n);const i=document.createElement(\"div\");i.className=\"maplibregl-mobile-message\",i.textContent=r,this._container.appendChild(i),this._container.setAttribute(\"aria-hidden\",\"true\")}_destroyUI(){this._container&&(o.remove(this._container),this._map.getCanvasContainer().classList.remove(\"maplibregl-cooperative-gestures\")),delete this._container}enable(){this._setupUI(),this._enabled=!0}disable(){this._enabled=!1,this._destroyUI()}isEnabled(){return this._enabled}isBypassed(t){return t[this._bypassKey]}notifyGestureBlocked(t,r){this._enabled&&(this._map.fire(new e.k(\"cooperativegestureprevented\",{gestureType:t,originalEvent:r})),this._container.classList.add(\"maplibregl-show\"),setTimeout((()=>{this._container.classList.remove(\"maplibregl-show\")}),100))}}const ki=t=>t.zoom||t.drag||t.pitch||t.rotate;class Ai extends e.k{}function Mi(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}class Si{constructor(t,e){this.handleWindowEvent=t=>{this.handleEvent(t,`${t.type}Window`)},this.handleEvent=(t,e)=>{if(\"blur\"===t.type)return void this.stop(!0);this._updatingCamera=!0;const r=\"renderFrame\"===t.type?void 0:t,n={needsRenderFrame:!1},i={},a={},s=t.touches,l=s?this._getMapTouches(s):void 0,c=l?o.touchPos(this._map.getCanvas(),l):o.mousePos(this._map.getCanvas(),t);for(const{handlerName:o,handler:s,allowed:u}of this._handlers){if(!s.isEnabled())continue;let h;this._blockedByActive(a,u,o)?s.reset():s[e||t.type]&&(h=s[e||t.type](t,c,l),this.mergeHandlerResult(n,i,h,o,r),h&&h.needsRenderFrame&&this._triggerRenderFrame()),(h||s.isActive())&&(a[o]=s)}const u={};for(const t in this._previousActiveHandlers)a[t]||(u[t]=r);this._previousActiveHandlers=a,(Object.keys(u).length||Mi(n))&&(this._changes.push([n,i,u]),this._triggerRenderFrame()),(Object.keys(a).length||Mi(n))&&this._map._stop(!0),this._updatingCamera=!1;const{cameraAnimation:h}=n;h&&(this._inertia.clear(),this._fireEvents({},{},!0),this._changes=[],h(this._map))},this._map=t,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Rn(t),this._bearingSnap=e.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(e);const r=this._el;this._listeners=[[r,\"touchstart\",{passive:!0}],[r,\"touchmove\",{passive:!1}],[r,\"touchend\",void 0],[r,\"touchcancel\",void 0],[r,\"mousedown\",void 0],[r,\"mousemove\",void 0],[r,\"mouseup\",void 0],[document,\"mousemove\",{capture:!0}],[document,\"mouseup\",void 0],[r,\"mouseover\",void 0],[r,\"mouseout\",void 0],[r,\"dblclick\",void 0],[r,\"click\",void 0],[r,\"keydown\",{capture:!1}],[r,\"keyup\",void 0],[r,\"wheel\",{passive:!1}],[r,\"contextmenu\",void 0],[window,\"blur\",void 0]];for(const[t,e,r]of this._listeners)o.addEventListener(t,e,t===document?this.handleWindowEvent:this.handleEvent,r)}destroy(){for(const[t,e,r]of this._listeners)o.removeEventListener(t,e,t===document?this.handleWindowEvent:this.handleEvent,r)}_addDefaultHandlers(t){const e=this._map,r=e.getCanvasContainer();this._add(\"mapEvent\",new Vn(e,t));const n=e.boxZoom=new Gn(e,t);this._add(\"boxZoom\",n),t.interactive&&t.boxZoom&&n.enable();const i=e.cooperativeGestures=new Ti(e,t.cooperativeGestures);this._add(\"cooperativeGestures\",i),t.cooperativeGestures&&i.enable();const a=new Xn(e),s=new vi(e);e.doubleClickZoom=new yi(s,a),this._add(\"tapZoom\",a),this._add(\"clickZoom\",s),t.interactive&&t.doubleClickZoom&&e.doubleClickZoom.enable();const l=new xi;this._add(\"tapDragZoom\",l);const c=e.touchPitch=new hi(e);this._add(\"touchPitch\",c),t.interactive&&t.touchPitch&&e.touchPitch.enable(t.touchPitch);const u=ei(t),h=ri(t);e.dragRotate=new bi(t,u,h),this._add(\"mouseRotate\",u,[\"mousePitch\"]),this._add(\"mousePitch\",h,[\"mouseRotate\"]),t.interactive&&t.dragRotate&&e.dragRotate.enable();const f=(({enable:t,clickTolerance:e})=>{const r=new Kn({checkCorrectEvent:t=>0===o.mouseButton(t)&&!t.ctrlKey});return new $n({clickTolerance:e,move:(t,e)=>({around:e,panDelta:e.sub(t)}),activateOnStart:!0,moveStateManager:r,enable:t,assignEvents:ti})})(t),p=new ni(t,e);e.dragPan=new _i(r,f,p),this._add(\"mousePan\",f),this._add(\"touchPan\",p,[\"touchZoom\",\"touchRotate\"]),t.interactive&&t.dragPan&&e.dragPan.enable(t.dragPan);const d=new ci,m=new si;e.touchZoomRotate=new wi(r,m,d,l),this._add(\"touchRotate\",d,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",m,[\"touchPan\",\"touchRotate\"]),t.interactive&&t.touchZoomRotate&&e.touchZoomRotate.enable(t.touchZoomRotate);const g=e.scrollZoom=new gi(e,(()=>this._triggerRenderFrame()));this._add(\"scrollZoom\",g,[\"mousePan\"]),t.interactive&&t.scrollZoom&&e.scrollZoom.enable(t.scrollZoom);const y=e.keyboard=new pi(e);this._add(\"keyboard\",y),t.interactive&&t.keyboard&&e.keyboard.enable(),this._add(\"blockableMapEvent\",new qn(e))}_add(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e}stop(t){if(!this._updatingCamera){for(const{handler:t}of this._handlers)t.reset();this._inertia.clear(),this._fireEvents({},{},t),this._changes=[]}}isActive(){for(const{handler:t}of this._handlers)if(t.isActive())return!0;return!1}isZooming(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()}isRotating(){return!!this._eventsInProgress.rotate}isMoving(){return Boolean(ki(this._eventsInProgress))||this.isZooming()}_blockedByActive(t,e,r){for(const n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1}_getMapTouches(t){const e=[];for(const r of t){const t=r.target;this._el.contains(t)&&e.push(r)}return e}mergeHandlerResult(t,r,n,i,a){if(!n)return;e.e(t,n);const o={handlerName:i,originalEvent:n.originalEvent||a};void 0!==n.zoomDelta&&(r.zoom=o),void 0!==n.panDelta&&(r.drag=o),void 0!==n.pitchDelta&&(r.pitch=o),void 0!==n.bearingDelta&&(r.rotate=o)}_applyChanges(){const t={},r={},n={};for(const[i,a,o]of this._changes)i.panDelta&&(t.panDelta=(t.panDelta||new e.P(0,0))._add(i.panDelta)),i.zoomDelta&&(t.zoomDelta=(t.zoomDelta||0)+i.zoomDelta),i.bearingDelta&&(t.bearingDelta=(t.bearingDelta||0)+i.bearingDelta),i.pitchDelta&&(t.pitchDelta=(t.pitchDelta||0)+i.pitchDelta),void 0!==i.around&&(t.around=i.around),void 0!==i.pinchAround&&(t.pinchAround=i.pinchAround),i.noInertia&&(t.noInertia=i.noInertia),e.e(r,a),e.e(n,o);this._updateMapTransform(t,r,n),this._changes=[]}_updateMapTransform(t,e,r){const n=this._map,i=n._getTransformForUpdate(),a=n.terrain;if(!(Mi(t)||a&&this._terrainMovement))return this._fireEvents(e,r,!0);let{panDelta:o,zoomDelta:s,bearingDelta:l,pitchDelta:c,around:u,pinchAround:h}=t;void 0!==h&&(u=h),n._stop(!0),u=u||n.transform.centerPoint;const f=i.pointLocation(o?u.sub(o):u);l&&(i.bearing+=l),c&&(i.pitch+=c),s&&(i.zoom+=s),a?this._terrainMovement||!e.drag&&!e.zoom?e.drag&&this._terrainMovement?i.center=i.pointLocation(i.centerPoint.sub(o)):i.setLocationAtPoint(f,u):(this._terrainMovement=!0,this._map._elevationFreeze=!0,i.setLocationAtPoint(f,u)):i.setLocationAtPoint(f,u),n._applyUpdatedTransform(i),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r,!0)}_fireEvents(t,r,n){const i=ki(this._eventsInProgress),o=ki(t),s={};for(const e in t){const{originalEvent:r}=t[e];this._eventsInProgress[e]||(s[`${e}start`]=r),this._eventsInProgress[e]=t[e]}!i&&o&&this._fireEvent(\"movestart\",o.originalEvent);for(const t in s)this._fireEvent(t,s[t]);o&&this._fireEvent(\"move\",o.originalEvent);for(const e in t){const{originalEvent:r}=t[e];this._fireEvent(e,r)}const l={};let c;for(const t in this._eventsInProgress){const{handlerName:e,originalEvent:n}=this._eventsInProgress[t];this._handlersById[e].isActive()||(delete this._eventsInProgress[t],c=r[e]||n,l[`${t}end`]=c)}for(const t in l)this._fireEvent(t,l[t]);const u=ki(this._eventsInProgress),h=(i||o)&&!u;if(h&&this._terrainMovement){this._map._elevationFreeze=!1,this._terrainMovement=!1;const t=this._map._getTransformForUpdate();t.recalculateZoom(this._map.terrain),this._map._applyUpdatedTransform(t)}if(n&&h){this._updatingCamera=!0;const t=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),r=t=>0!==t&&-this._bearingSnap<t&&t<this._bearingSnap;!t||!t.essential&&a.prefersReducedMotion?(this._map.fire(new e.k(\"moveend\",{originalEvent:c})),r(this._map.getBearing())&&this._map.resetNorth()):(r(t.bearing||this._map.getBearing())&&(t.bearing=0),t.freezeElevation=!0,this._map.easeTo(t,{originalEvent:c})),this._updatingCamera=!1}}_fireEvent(t,r){this._map.fire(new e.k(t,r?{originalEvent:r}:{}))}_requestFrame(){return this._map.triggerRepaint(),this._map._renderTaskQueue.add((t=>{delete this._frameId,this.handleEvent(new Ai(\"renderFrame\",{timeStamp:t})),this._applyChanges()}))}_triggerRenderFrame(){void 0===this._frameId&&(this._frameId=this._requestFrame())}}class Ei extends e.E{constructor(t,e){super(),this._renderFrameCallback=()=>{const t=Math.min((a.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(t)),t<1&&this._easeFrameId?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},this._moving=!1,this._zooming=!1,this.transform=t,this._bearingSnap=e.bearingSnap,this.on(\"moveend\",(()=>{delete this._requestedCameraState}))}getCenter(){return new e.N(this.transform.center.lng,this.transform.center.lat)}setCenter(t,e){return this.jumpTo({center:t},e)}panBy(t,r,n){return t=e.P.convert(t).mult(-1),this.panTo(this.transform.center,e.e({offset:t},r),n)}panTo(t,r,n){return this.easeTo(e.e({center:t},r),n)}getZoom(){return this.transform.zoom}setZoom(t,e){return this.jumpTo({zoom:t},e),this}zoomTo(t,r,n){return this.easeTo(e.e({zoom:t},r),n)}zoomIn(t,e){return this.zoomTo(this.getZoom()+1,t,e),this}zoomOut(t,e){return this.zoomTo(this.getZoom()-1,t,e),this}getBearing(){return this.transform.bearing}setBearing(t,e){return this.jumpTo({bearing:t},e),this}getPadding(){return this.transform.padding}setPadding(t,e){return this.jumpTo({padding:t},e),this}rotateTo(t,r,n){return this.easeTo(e.e({bearing:t},r),n)}resetNorth(t,r){return this.rotateTo(0,e.e({duration:1e3},t),r),this}resetNorthPitch(t,r){return this.easeTo(e.e({bearing:0,pitch:0,duration:1e3},t),r),this}snapToNorth(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this}getPitch(){return this.transform.pitch}setPitch(t,e){return this.jumpTo({pitch:t},e),this}cameraForBounds(t,e){t=X.convert(t);const r=e&&e.bearing||0;return this._cameraForBoxAndBearing(t.getNorthWest(),t.getSouthEast(),r,e)}_cameraForBoxAndBearing(t,r,n,i){const a={top:0,bottom:0,right:0,left:0};if(\"number\"==typeof(i=e.e({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){const t=i.padding;i.padding={top:t,bottom:t,right:t,left:t}}i.padding=e.e(a,i.padding);const o=this.transform,s=o.padding,l=new X(t,r),c=o.project(l.getNorthWest()),u=o.project(l.getNorthEast()),h=o.project(l.getSouthEast()),f=o.project(l.getSouthWest()),p=e.ba(-n),d=c.rotate(p),m=u.rotate(p),g=h.rotate(p),y=f.rotate(p),v=new e.P(Math.max(d.x,m.x,y.x,g.x),Math.max(d.y,m.y,y.y,g.y)),x=new e.P(Math.min(d.x,m.x,y.x,g.x),Math.min(d.y,m.y,y.y,g.y)),_=v.sub(x),b=(o.width-(s.left+s.right+i.padding.left+i.padding.right))/_.x,w=(o.height-(s.top+s.bottom+i.padding.top+i.padding.bottom))/_.y;if(w<0||b<0)return void e.w(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\");const T=Math.min(o.scaleZoom(o.scale*Math.min(b,w)),i.maxZoom),k=e.P.convert(i.offset),A=(i.padding.left-i.padding.right)/2,M=(i.padding.top-i.padding.bottom)/2,S=new e.P(A,M).rotate(e.ba(n)),E=k.add(S).mult(o.scale/o.zoomScale(T));return{center:o.unproject(c.add(h).div(2).sub(E)),zoom:T,bearing:n}}fitBounds(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)}fitScreenCoordinates(t,r,n,i,a){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(e.P.convert(t)),this.transform.pointLocation(e.P.convert(r)),n,i),i,a)}_fitInternal(t,r,n){return t?(delete(r=e.e(t,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this}jumpTo(t,r){this.stop();const n=this._getTransformForUpdate();let i=!1,a=!1,o=!1;return\"zoom\"in t&&n.zoom!==+t.zoom&&(i=!0,n.zoom=+t.zoom),void 0!==t.center&&(n.center=e.N.convert(t.center)),\"bearing\"in t&&n.bearing!==+t.bearing&&(a=!0,n.bearing=+t.bearing),\"pitch\"in t&&n.pitch!==+t.pitch&&(o=!0,n.pitch=+t.pitch),null==t.padding||n.isPaddingEqual(t.padding)||(n.padding=t.padding),this._applyUpdatedTransform(n),this.fire(new e.k(\"movestart\",r)).fire(new e.k(\"move\",r)),i&&this.fire(new e.k(\"zoomstart\",r)).fire(new e.k(\"zoom\",r)).fire(new e.k(\"zoomend\",r)),a&&this.fire(new e.k(\"rotatestart\",r)).fire(new e.k(\"rotate\",r)).fire(new e.k(\"rotateend\",r)),o&&this.fire(new e.k(\"pitchstart\",r)).fire(new e.k(\"pitch\",r)).fire(new e.k(\"pitchend\",r)),this.fire(new e.k(\"moveend\",r))}calculateCameraOptionsFromTo(t,r,n,i=0){const a=e.Z.fromLngLat(t,r),o=e.Z.fromLngLat(n,i),s=o.x-a.x,l=o.y-a.y,c=o.z-a.z,u=Math.hypot(s,l,c);if(0===u)throw new Error(\"Can't calculate camera options with same From and To\");const h=Math.hypot(s,l),f=this.transform.scaleZoom(this.transform.cameraToCenterDistance/u/this.transform.tileSize),p=180*Math.atan2(s,-l)/Math.PI;let d=180*Math.acos(h/u)/Math.PI;return d=c<0?90-d:90+d,{center:o.toLngLat(),zoom:f,pitch:d,bearing:p}}easeTo(t,r){var n;this._stop(!1,t.easeId),(!1===(t=e.e({offset:[0,0],duration:500,easing:e.b9},t)).animate||!t.essential&&a.prefersReducedMotion)&&(t.duration=0);const i=this._getTransformForUpdate(),o=i.zoom,s=i.bearing,l=i.pitch,c=i.padding,u=\"bearing\"in t?this._normalizeBearing(t.bearing,s):s,h=\"pitch\"in t?+t.pitch:l,f=\"padding\"in t?t.padding:i.padding,p=e.P.convert(t.offset);let d=i.centerPoint.add(p);const m=i.pointLocation(d),{center:g,zoom:y}=i.getConstrained(e.N.convert(t.center||m),null!==(n=t.zoom)&&void 0!==n?n:o);this._normalizeCenter(g,i);const v=i.project(m),x=i.project(g).sub(v),_=i.zoomScale(y-o);let b,w;t.around&&(b=e.N.convert(t.around),w=i.locationPoint(b));const T={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||y!==o,this._rotating=this._rotating||s!==u,this._pitching=this._pitching||h!==l,this._padding=!i.isPaddingEqual(f),this._easeId=t.easeId,this._prepareEase(r,t.noMoveStart,T),this.terrain&&this._prepareElevation(g),this._ease((n=>{if(this._zooming&&(i.zoom=e.z.number(o,y,n)),this._rotating&&(i.bearing=e.z.number(s,u,n)),this._pitching&&(i.pitch=e.z.number(l,h,n)),this._padding&&(i.interpolatePadding(c,f,n),d=i.centerPoint.add(p)),this.terrain&&!t.freezeElevation&&this._updateElevation(n),b)i.setLocationAtPoint(b,w);else{const t=i.zoomScale(i.zoom-o),e=y>o?Math.min(2,_):Math.max(.5,_),r=Math.pow(e,1-n),a=i.unproject(v.add(x.mult(n*r)).mult(t));i.setLocationAtPoint(i.renderWorldCopies?a.wrap():a,d)}this._applyUpdatedTransform(i),this._fireMoveEvents(r)}),(e=>{this.terrain&&t.freezeElevation&&this._finalizeElevation(),this._afterEase(r,e)}),t),this}_prepareEase(t,r,n={}){this._moving=!0,r||n.moving||this.fire(new e.k(\"movestart\",t)),this._zooming&&!n.zooming&&this.fire(new e.k(\"zoomstart\",t)),this._rotating&&!n.rotating&&this.fire(new e.k(\"rotatestart\",t)),this._pitching&&!n.pitching&&this.fire(new e.k(\"pitchstart\",t))}_prepareElevation(t){this._elevationCenter=t,this._elevationStart=this.transform.elevation,this._elevationTarget=this.terrain.getElevationForLngLatZoom(t,this.transform.tileZoom),this._elevationFreeze=!0}_updateElevation(t){this.transform.minElevationForCurrentTile=this.terrain.getMinTileElevationForLngLatZoom(this._elevationCenter,this.transform.tileZoom);const r=this.terrain.getElevationForLngLatZoom(this._elevationCenter,this.transform.tileZoom);if(t<1&&r!==this._elevationTarget){const e=this._elevationTarget-this._elevationStart,n=(r-(e*t+this._elevationStart))/(1-t);this._elevationStart+=t*(e-n),this._elevationTarget=r}this.transform.elevation=e.z.number(this._elevationStart,this._elevationTarget,t)}_finalizeElevation(){this._elevationFreeze=!1,this.transform.recalculateZoom(this.terrain)}_getTransformForUpdate(){return this.transformCameraUpdate||this.terrain?(this._requestedCameraState||(this._requestedCameraState=this.transform.clone()),this._requestedCameraState):this.transform}_elevateCameraIfInsideTerrain(t){const e=t.getCameraPosition(),r=this.terrain.getElevationForLngLatZoom(e.lngLat,t.zoom);if(e.altitude<r){const n=this.calculateCameraOptionsFromTo(e.lngLat,r,t.center,t.elevation);return{pitch:n.pitch,zoom:n.zoom}}return{}}_applyUpdatedTransform(t){const e=[];if(this.terrain&&e.push((t=>this._elevateCameraIfInsideTerrain(t))),this.transformCameraUpdate&&e.push((t=>this.transformCameraUpdate(t))),!e.length)return;const r=t.clone();for(const t of e){const e=r.clone(),{center:n,zoom:i,pitch:a,bearing:o,elevation:s}=t(e);n&&(e.center=n),void 0!==i&&(e.zoom=i),void 0!==a&&(e.pitch=a),void 0!==o&&(e.bearing=o),void 0!==s&&(e.elevation=s),r.apply(e)}this.transform.apply(r)}_fireMoveEvents(t){this.fire(new e.k(\"move\",t)),this._zooming&&this.fire(new e.k(\"zoom\",t)),this._rotating&&this.fire(new e.k(\"rotate\",t)),this._pitching&&this.fire(new e.k(\"pitch\",t))}_afterEase(t,r){if(this._easeId&&r&&this._easeId===r)return;delete this._easeId;const n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new e.k(\"zoomend\",t)),i&&this.fire(new e.k(\"rotateend\",t)),a&&this.fire(new e.k(\"pitchend\",t)),this.fire(new e.k(\"moveend\",t))}flyTo(t,r){var n;if(!t.essential&&a.prefersReducedMotion){const n=e.M(t,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(n,r)}this.stop(),t=e.e({offset:[0,0],speed:1.2,curve:1.42,easing:e.b9},t);const i=this._getTransformForUpdate(),o=i.zoom,s=i.bearing,l=i.pitch,c=i.padding,u=\"bearing\"in t?this._normalizeBearing(t.bearing,s):s,h=\"pitch\"in t?+t.pitch:l,f=\"padding\"in t?t.padding:i.padding,p=e.P.convert(t.offset);let d=i.centerPoint.add(p);const m=i.pointLocation(d),{center:g,zoom:y}=i.getConstrained(e.N.convert(t.center||m),null!==(n=t.zoom)&&void 0!==n?n:o);this._normalizeCenter(g,i);const v=i.zoomScale(y-o),x=i.project(m),_=i.project(g).sub(x);let b=t.curve;const w=Math.max(i.width,i.height),T=w/v,k=_.mag();if(\"minZoom\"in t){const r=e.ad(Math.min(t.minZoom,o,y),i.minZoom,i.maxZoom),n=w/i.zoomScale(r-o);b=Math.sqrt(n/k*2)}const A=b*b;function M(t){const e=(T*T-w*w+(t?-1:1)*A*A*k*k)/(2*(t?T:w)*A*k);return Math.log(Math.sqrt(e*e+1)-e)}function S(t){return(Math.exp(t)-Math.exp(-t))/2}function E(t){return(Math.exp(t)+Math.exp(-t))/2}const C=M(!1);let L=function(t){return E(C)/E(C+b*t)},I=function(t){return w*((E(C)*(S(e=C+b*t)/E(e))-S(C))/A)/k;var e},P=(M(!0)-C)/b;if(Math.abs(k)<1e-6||!isFinite(P)){if(Math.abs(w-T)<1e-6)return this.easeTo(t,r);const e=T<w?-1:1;P=Math.abs(Math.log(T/w))/b,I=()=>0,L=t=>Math.exp(e*b*t)}if(\"duration\"in t)t.duration=+t.duration;else{const e=\"screenSpeed\"in t?+t.screenSpeed/b:+t.speed;t.duration=1e3*P/e}return t.maxDuration&&t.duration>t.maxDuration&&(t.duration=0),this._zooming=!0,this._rotating=s!==u,this._pitching=h!==l,this._padding=!i.isPaddingEqual(f),this._prepareEase(r,!1),this.terrain&&this._prepareElevation(g),this._ease((n=>{const a=n*P,m=1/L(a);i.zoom=1===n?y:o+i.scaleZoom(m),this._rotating&&(i.bearing=e.z.number(s,u,n)),this._pitching&&(i.pitch=e.z.number(l,h,n)),this._padding&&(i.interpolatePadding(c,f,n),d=i.centerPoint.add(p)),this.terrain&&!t.freezeElevation&&this._updateElevation(n);const v=1===n?g:i.unproject(x.add(_.mult(I(a))).mult(m));i.setLocationAtPoint(i.renderWorldCopies?v.wrap():v,d),this._applyUpdatedTransform(i),this._fireMoveEvents(r)}),(()=>{this.terrain&&t.freezeElevation&&this._finalizeElevation(),this._afterEase(r)}),t),this}isEasing(){return!!this._easeFrameId}stop(){return this._stop()}_stop(t,e){var r;if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){const t=this._onEaseEnd;delete this._onEaseEnd,t.call(this,e)}return t||null===(r=this.handlers)||void 0===r||r.stop(!1),this}_ease(t,e,r){!1===r.animate||0===r.duration?(t(1),e()):(this._easeStart=a.now(),this._easeOptions=r,this._onEaseFrame=t,this._onEaseEnd=e,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))}_normalizeBearing(t,r){t=e.b3(t,-180,180);const n=Math.abs(t-r);return Math.abs(t-360-r)<n&&(t-=360),Math.abs(t+360-r)<n&&(t+=360),t}_normalizeCenter(t,e){if(!e.renderWorldCopies||e.lngRange)return;const r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}queryTerrainElevation(t){return this.terrain?this.terrain.getElevationForLngLatZoom(e.N.convert(t),this.transform.tileZoom)-this.transform.elevation:null}}const Ci={compact:!0,customAttribution:'<a href=\"https://maplibre.org/\" target=\"_blank\">MapLibre</a>'};class Li{constructor(t=Ci){this._toggleAttribution=()=>{this._container.classList.contains(\"maplibregl-compact\")&&(this._container.classList.contains(\"maplibregl-compact-show\")?(this._container.setAttribute(\"open\",\"\"),this._container.classList.remove(\"maplibregl-compact-show\")):(this._container.classList.add(\"maplibregl-compact-show\"),this._container.removeAttribute(\"open\")))},this._updateData=t=>{!t||\"metadata\"!==t.sourceDataType&&\"visibility\"!==t.sourceDataType&&\"style\"!==t.dataType&&\"terrain\"!==t.type||this._updateAttributions()},this._updateCompact=()=>{this._map.getCanvasContainer().offsetWidth<=640||this._compact?!1===this._compact?this._container.setAttribute(\"open\",\"\"):this._container.classList.contains(\"maplibregl-compact\")||this._container.classList.contains(\"maplibregl-attrib-empty\")||(this._container.setAttribute(\"open\",\"\"),this._container.classList.add(\"maplibregl-compact\",\"maplibregl-compact-show\")):(this._container.setAttribute(\"open\",\"\"),this._container.classList.contains(\"maplibregl-compact\")&&this._container.classList.remove(\"maplibregl-compact\",\"maplibregl-compact-show\"))},this._updateCompactMinimize=()=>{this._container.classList.contains(\"maplibregl-compact\")&&this._container.classList.contains(\"maplibregl-compact-show\")&&this._container.classList.remove(\"maplibregl-compact-show\")},this.options=t}getDefaultPosition(){return\"bottom-right\"}onAdd(t){return this._map=t,this._compact=this.options.compact,this._container=o.create(\"details\",\"maplibregl-ctrl maplibregl-ctrl-attrib\"),this._compactButton=o.create(\"summary\",\"maplibregl-ctrl-attrib-button\",this._container),this._compactButton.addEventListener(\"click\",this._toggleAttribution),this._setElementTitle(this._compactButton,\"ToggleAttribution\"),this._innerContainer=o.create(\"div\",\"maplibregl-ctrl-attrib-inner\",this._container),this._updateAttributions(),this._updateCompact(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"terrain\",this._updateData),this._map.on(\"resize\",this._updateCompact),this._map.on(\"drag\",this._updateCompactMinimize),this._container}onRemove(){o.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"terrain\",this._updateData),this._map.off(\"resize\",this._updateCompact),this._map.off(\"drag\",this._updateCompactMinimize),this._map=void 0,this._compact=void 0,this._attribHTML=void 0}_setElementTitle(t,e){const r=this._map._getUIString(`AttributionControl.${e}`);t.title=r,t.setAttribute(\"aria-label\",r)}_updateAttributions(){if(!this._map.style)return;let t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map((t=>\"string\"!=typeof t?\"\":t))):\"string\"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){const t=this._map.style.stylesheet;this.styleOwner=t.owner,this.styleId=t.id}const e=this._map.style.sourceCaches;for(const r in e){const n=e[r];if(n.used||n.usedForTerrain){const e=n.getSource();e.attribution&&t.indexOf(e.attribution)<0&&t.push(e.attribution)}}t=t.filter((t=>String(t).trim())),t.sort(((t,e)=>t.length-e.length)),t=t.filter(((e,r)=>{for(let n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0}));const r=t.join(\" | \");r!==this._attribHTML&&(this._attribHTML=r,t.length?(this._innerContainer.innerHTML=r,this._container.classList.remove(\"maplibregl-attrib-empty\")):this._container.classList.add(\"maplibregl-attrib-empty\"),this._updateCompact(),this._editLink=null)}}class Ii{constructor(t={}){this._updateCompact=()=>{const t=this._container.children;if(t.length){const e=t[0];this._map.getCanvasContainer().offsetWidth<=640||this._compact?!1!==this._compact&&e.classList.add(\"maplibregl-compact\"):e.classList.remove(\"maplibregl-compact\")}},this.options=t}getDefaultPosition(){return\"bottom-left\"}onAdd(t){this._map=t,this._compact=this.options&&this.options.compact,this._container=o.create(\"div\",\"maplibregl-ctrl\");const e=o.create(\"a\",\"maplibregl-ctrl-logo\");return e.target=\"_blank\",e.rel=\"noopener nofollow\",e.href=\"https://maplibre.org/\",e.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),e.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(e),this._container.style.display=\"block\",this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container}onRemove(){o.remove(this._container),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._compact=void 0}}class Pi{constructor(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1}add(t){const e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e}remove(t){const e=this._currentlyRunning,r=e?this._queue.concat(e):this._queue;for(const e of r)if(e.id===t)return void(e.cancelled=!0)}run(t=0){if(this._currentlyRunning)throw new Error(\"Attempting to run(), but is already running.\");const e=this._currentlyRunning=this._queue;this._queue=[];for(const r of e)if(!r.cancelled&&(r.callback(t),this._cleared))break;this._cleared=!1,this._currentlyRunning=!1}clear(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]}}var zi=e.Y([{name:\"a_pos3d\",type:\"Int16\",components:3}]);class Oi extends e.E{constructor(t){super(),this.sourceCache=t,this._tiles={},this._renderableTilesKeys=[],this._sourceTileCache={},this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.deltaZoom=1,t.usedForTerrain=!0,t.tileSize=this.tileSize*2**this.deltaZoom}destruct(){this.sourceCache.usedForTerrain=!1,this.sourceCache.tileSize=null}update(t,r){this.sourceCache.update(t,r),this._renderableTilesKeys=[];const n={};for(const i of t.coveringTiles({tileSize:this.tileSize,minzoom:this.minzoom,maxzoom:this.maxzoom,reparseOverscaled:!1,terrain:r}))n[i.key]=!0,this._renderableTilesKeys.push(i.key),this._tiles[i.key]||(i.posMatrix=new Float64Array(16),e.aQ(i.posMatrix,0,e.X,0,e.X,0,1),this._tiles[i.key]=new ht(i,this.tileSize));for(const t in this._tiles)n[t]||delete this._tiles[t]}freeRtt(t){for(const e in this._tiles){const r=this._tiles[e];(!t||r.tileID.equals(t)||r.tileID.isChildOf(t)||t.isChildOf(r.tileID))&&(r.rtt=[])}}getRenderableTiles(){return this._renderableTilesKeys.map((t=>this.getTileByID(t)))}getTileByID(t){return this._tiles[t]}getTerrainCoords(t){const r={};for(const n of this._renderableTilesKeys){const i=this._tiles[n].tileID;if(i.canonical.equals(t.canonical)){const i=t.clone();i.posMatrix=new Float64Array(16),e.aQ(i.posMatrix,0,e.X,0,e.X,0,1),r[n]=i}else if(i.canonical.isChildOf(t.canonical)){const a=t.clone();a.posMatrix=new Float64Array(16);const o=i.canonical.z-t.canonical.z,s=i.canonical.x-(i.canonical.x>>o<<o),l=i.canonical.y-(i.canonical.y>>o<<o),c=e.X>>o;e.aQ(a.posMatrix,0,c,0,c,0,1),e.J(a.posMatrix,a.posMatrix,[-s*c,-l*c,0]),r[n]=a}else if(t.canonical.isChildOf(i.canonical)){const a=t.clone();a.posMatrix=new Float64Array(16);const o=t.canonical.z-i.canonical.z,s=t.canonical.x-(t.canonical.x>>o<<o),l=t.canonical.y-(t.canonical.y>>o<<o),c=e.X>>o;e.aQ(a.posMatrix,0,e.X,0,e.X,0,1),e.J(a.posMatrix,a.posMatrix,[s*c,l*c,0]),e.K(a.posMatrix,a.posMatrix,[1/2**o,1/2**o,0]),r[n]=a}}return r}getSourceTile(t,e){const r=this.sourceCache._source;let n=t.overscaledZ-this.deltaZoom;if(n>r.maxzoom&&(n=r.maxzoom),n<r.minzoom)return null;this._sourceTileCache[t.key]||(this._sourceTileCache[t.key]=t.scaledTo(n).key);let i=this.sourceCache.getTileByID(this._sourceTileCache[t.key]);if((!i||!i.dem)&&e)for(;n>=r.minzoom&&(!i||!i.dem);)i=this.sourceCache.getTileByID(t.scaledTo(n--).key);return i}tilesAfterTime(t=Date.now()){return Object.values(this._tiles).filter((e=>e.timeAdded>=t))}}class Di{constructor(t,e,r){this.painter=t,this.sourceCache=new Oi(e),this.options=r,this.exaggeration=\"number\"==typeof r.exaggeration?r.exaggeration:1,this.qualityFactor=2,this.meshSize=128,this._demMatrixCache={},this.coordsIndex=[],this._coordsTextureSize=1024}getDEMElevation(t,r,n,i=e.X){var a;if(!(r>=0&&r<i&&n>=0&&n<i))return 0;const o=this.getTerrainData(t),s=null===(a=o.tile)||void 0===a?void 0:a.dem;if(!s)return 0;const l=function(t,e,r){var n=e[0],i=e[1];return t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t}([],[r/i*e.X,n/i*e.X],o.u_terrain_matrix),c=[l[0]*s.dim,l[1]*s.dim],u=Math.floor(c[0]),h=Math.floor(c[1]),f=c[0]-u,p=c[1]-h;return s.get(u,h)*(1-f)*(1-p)+s.get(u+1,h)*f*(1-p)+s.get(u,h+1)*(1-f)*p+s.get(u+1,h+1)*f*p}getElevationForLngLatZoom(t,r){const{tileID:n,mercatorX:i,mercatorY:a}=this._getOverscaledTileIDFromLngLatZoom(t,r);return this.getElevation(n,i%e.X,a%e.X,e.X)}getElevation(t,r,n,i=e.X){return this.getDEMElevation(t,r,n,i)*this.exaggeration}getTerrainData(t){if(!this._emptyDemTexture){const t=this.painter.context,r=new e.R({width:1,height:1},new Uint8Array(4));this._emptyDepthTexture=new w(t,r,t.gl.RGBA,{premultiply:!1}),this._emptyDemUnpack=[0,0,0,0],this._emptyDemTexture=new w(t,new e.R({width:1,height:1}),t.gl.RGBA,{premultiply:!1}),this._emptyDemTexture.bind(t.gl.NEAREST,t.gl.CLAMP_TO_EDGE),this._emptyDemMatrix=e.ao([])}const r=this.sourceCache.getSourceTile(t,!0);if(r&&r.dem&&(!r.demTexture||r.needsTerrainPrepare)){const t=this.painter.context;r.demTexture=this.painter.getTileTexture(r.dem.stride),r.demTexture?r.demTexture.update(r.dem.getPixels(),{premultiply:!1}):r.demTexture=new w(t,r.dem.getPixels(),t.gl.RGBA,{premultiply:!1}),r.demTexture.bind(t.gl.NEAREST,t.gl.CLAMP_TO_EDGE),r.needsTerrainPrepare=!1}const n=r&&r+r.tileID.key+t.key;if(n&&!this._demMatrixCache[n]){const n=this.sourceCache.sourceCache._source.maxzoom;let i=t.canonical.z-r.tileID.canonical.z;t.overscaledZ>t.canonical.z&&(t.canonical.z>=n?i=t.canonical.z-n:e.w(\"cannot calculate elevation if elevation maxzoom > source.maxzoom\"));const a=t.canonical.x-(t.canonical.x>>i<<i),o=t.canonical.y-(t.canonical.y>>i<<i),s=e.bb(new Float64Array(16),[1/(e.X<<i),1/(e.X<<i),0]);e.J(s,s,[a*e.X,o*e.X,0]),this._demMatrixCache[t.key]={matrix:s,coord:t}}return{u_depth:2,u_terrain:3,u_terrain_dim:r&&r.dem&&r.dem.dim||1,u_terrain_matrix:n?this._demMatrixCache[t.key].matrix:this._emptyDemMatrix,u_terrain_unpack:r&&r.dem&&r.dem.getUnpackVector()||this._emptyDemUnpack,u_terrain_exaggeration:this.exaggeration,texture:(r&&r.demTexture||this._emptyDemTexture).texture,depthTexture:(this._fboDepthTexture||this._emptyDepthTexture).texture,tile:r}}getFramebuffer(t){const e=this.painter,r=e.width/devicePixelRatio,n=e.height/devicePixelRatio;return!this._fbo||this._fbo.width===r&&this._fbo.height===n||(this._fbo.destroy(),this._fboCoordsTexture.destroy(),this._fboDepthTexture.destroy(),delete this._fbo,delete this._fboDepthTexture,delete this._fboCoordsTexture),this._fboCoordsTexture||(this._fboCoordsTexture=new w(e.context,{width:r,height:n,data:null},e.context.gl.RGBA,{premultiply:!1}),this._fboCoordsTexture.bind(e.context.gl.NEAREST,e.context.gl.CLAMP_TO_EDGE)),this._fboDepthTexture||(this._fboDepthTexture=new w(e.context,{width:r,height:n,data:null},e.context.gl.RGBA,{premultiply:!1}),this._fboDepthTexture.bind(e.context.gl.NEAREST,e.context.gl.CLAMP_TO_EDGE)),this._fbo||(this._fbo=e.context.createFramebuffer(r,n,!0,!1),this._fbo.depthAttachment.set(e.context.createRenderbuffer(e.context.gl.DEPTH_COMPONENT16,r,n))),this._fbo.colorAttachment.set(\"coords\"===t?this._fboCoordsTexture.texture:this._fboDepthTexture.texture),this._fbo}getCoordsTexture(){const t=this.painter.context;if(this._coordsTexture)return this._coordsTexture;const r=new Uint8Array(this._coordsTextureSize*this._coordsTextureSize*4);for(let t=0,e=0;t<this._coordsTextureSize;t++)for(let n=0;n<this._coordsTextureSize;n++,e+=4)r[e+0]=255&n,r[e+1]=255&t,r[e+2]=n>>8<<4|t>>8,r[e+3]=0;const n=new e.R({width:this._coordsTextureSize,height:this._coordsTextureSize},new Uint8Array(r.buffer)),i=new w(t,n,t.gl.RGBA,{premultiply:!1});return i.bind(t.gl.NEAREST,t.gl.CLAMP_TO_EDGE),this._coordsTexture=i,i}pointCoordinate(t){this.painter.maybeDrawDepthAndCoords(!0);const r=new Uint8Array(4),n=this.painter.context,i=n.gl,a=Math.round(t.x*this.painter.pixelRatio/devicePixelRatio),o=Math.round(t.y*this.painter.pixelRatio/devicePixelRatio),s=Math.round(this.painter.height/devicePixelRatio);n.bindFramebuffer.set(this.getFramebuffer(\"coords\").framebuffer),i.readPixels(a,s-o-1,1,1,i.RGBA,i.UNSIGNED_BYTE,r),n.bindFramebuffer.set(null);const l=r[0]+(r[2]>>4<<8),c=r[1]+((15&r[2])<<8),u=this.coordsIndex[255-r[3]],h=u&&this.sourceCache.getTileByID(u);if(!h)return null;const f=this._coordsTextureSize,p=(1<<h.tileID.canonical.z)*f;return new e.Z((h.tileID.canonical.x*f+l)/p+h.tileID.wrap,(h.tileID.canonical.y*f+c)/p,this.getElevation(h.tileID,l,c,f))}depthAtPoint(t){const e=new Uint8Array(4),r=this.painter.context,n=r.gl;return r.bindFramebuffer.set(this.getFramebuffer(\"depth\").framebuffer),n.readPixels(t.x,this.painter.height/devicePixelRatio-t.y-1,1,1,n.RGBA,n.UNSIGNED_BYTE,e),r.bindFramebuffer.set(null),(e[0]/16777216+e[1]/65536+e[2]/256+e[3])/256}getTerrainMesh(){if(this._mesh)return this._mesh;const t=this.painter.context,r=new e.bc,n=new e.aY,i=this.meshSize,a=e.X/i,o=i*i;for(let t=0;t<=i;t++)for(let e=0;e<=i;e++)r.emplaceBack(e*a,t*a,0);for(let t=0;t<o;t+=i+1)for(let e=0;e<i;e++)n.emplaceBack(e+t,i+e+t+1,i+e+t+2),n.emplaceBack(e+t,i+e+t+2,e+t+1);const s=r.length,l=s+2*(i+1);for(const t of[0,1])for(let n=0;n<=i;n++)for(const i of[0,1])r.emplaceBack(n*a,t*e.X,i);for(let t=0;t<2*i;t+=2)n.emplaceBack(l+t,l+t+1,l+t+3),n.emplaceBack(l+t,l+t+3,l+t+2),n.emplaceBack(s+t,s+t+3,s+t+1),n.emplaceBack(s+t,s+t+2,s+t+3);const c=r.length,u=c+2*(i+1);for(const t of[0,1])for(let n=0;n<=i;n++)for(const i of[0,1])r.emplaceBack(t*e.X,n*a,i);for(let t=0;t<2*i;t+=2)n.emplaceBack(c+t,c+t+1,c+t+3),n.emplaceBack(c+t,c+t+3,c+t+2),n.emplaceBack(u+t,u+t+3,u+t+1),n.emplaceBack(u+t,u+t+2,u+t+3);return this._mesh=new wn(t.createVertexBuffer(r,zi.members),t.createIndexBuffer(n),e.a0.simpleSegment(0,0,r.length,n.length)),this._mesh}getMeshFrameDelta(t){return 2*Math.PI*e.bd/Math.pow(2,t)/5}getMinTileElevationForLngLatZoom(t,e){var r;const{tileID:n}=this._getOverscaledTileIDFromLngLatZoom(t,e);return null!==(r=this.getMinMaxElevation(n).minElevation)&&void 0!==r?r:0}getMinMaxElevation(t){const e=this.getTerrainData(t).tile,r={minElevation:null,maxElevation:null};return e&&e.dem&&(r.minElevation=e.dem.min*this.exaggeration,r.maxElevation=e.dem.max*this.exaggeration),r}_getOverscaledTileIDFromLngLatZoom(t,r){const n=e.Z.fromLngLat(t.wrap()),i=(1<<r)*e.X,a=n.x*i,o=n.y*i,s=Math.floor(a/e.X),l=Math.floor(o/e.X);return{tileID:new e.S(r,0,r,s,l),mercatorX:a,mercatorY:o}}}class Ri{constructor(t,e,r){this._context=t,this._size=e,this._tileSize=r,this._objects=[],this._recentlyUsed=[],this._stamp=0}destruct(){for(const t of this._objects)t.texture.destroy(),t.fbo.destroy()}_createObject(t){const e=this._context.createFramebuffer(this._tileSize,this._tileSize,!0,!0),r=new w(this._context,{width:this._tileSize,height:this._tileSize,data:null},this._context.gl.RGBA);return r.bind(this._context.gl.LINEAR,this._context.gl.CLAMP_TO_EDGE),e.depthAttachment.set(this._context.createRenderbuffer(this._context.gl.DEPTH_STENCIL,this._tileSize,this._tileSize)),e.colorAttachment.set(r.texture),{id:t,fbo:e,texture:r,stamp:-1,inUse:!1}}getObjectForId(t){return this._objects[t]}useObject(t){t.inUse=!0,this._recentlyUsed=this._recentlyUsed.filter((e=>t.id!==e)),this._recentlyUsed.push(t.id)}stampObject(t){t.stamp=++this._stamp}getOrCreateFreeObject(){for(const t of this._recentlyUsed)if(!this._objects[t].inUse)return this._objects[t];if(this._objects.length>=this._size)throw new Error(\"No free RenderPool available, call freeAllObjects() required!\");const t=this._createObject(this._objects.length);return this._objects.push(t),t}freeObject(t){t.inUse=!1}freeAllObjects(){for(const t of this._objects)this.freeObject(t)}isFull(){return!(this._objects.length<this._size)&&!1===this._objects.some((t=>!t.inUse))}}const Fi={background:!0,fill:!0,line:!0,raster:!0,hillshade:!0};class Bi{constructor(t,e){this.painter=t,this.terrain=e,this.pool=new Ri(t.context,30,e.sourceCache.tileSize*e.qualityFactor)}destruct(){this.pool.destruct()}getTexture(t){return this.pool.getObjectForId(t.rtt[this._stacks.length-1].id).texture}prepareForRender(t,e){this._stacks=[],this._prevType=null,this._rttTiles=[],this._renderableTiles=this.terrain.sourceCache.getRenderableTiles(),this._renderableLayerIds=t._order.filter((r=>!t._layers[r].isHidden(e))),this._coordsDescendingInv={};for(const e in t.sourceCaches){this._coordsDescendingInv[e]={};const r=t.sourceCaches[e].getVisibleCoordinates();for(const t of r){const r=this.terrain.sourceCache.getTerrainCoords(t);for(const t in r)this._coordsDescendingInv[e][t]||(this._coordsDescendingInv[e][t]=[]),this._coordsDescendingInv[e][t].push(r[t])}}this._coordsDescendingInvStr={};for(const e of t._order){const r=t._layers[e],n=r.source;if(Fi[r.type]&&!this._coordsDescendingInvStr[n]){this._coordsDescendingInvStr[n]={};for(const t in this._coordsDescendingInv[n])this._coordsDescendingInvStr[n][t]=this._coordsDescendingInv[n][t].map((t=>t.key)).sort().join()}}for(const t of this._renderableTiles)for(const e in this._coordsDescendingInvStr){const r=this._coordsDescendingInvStr[e][t.tileID.key];r&&r!==t.rttCoords[e]&&(t.rtt=[])}}renderLayer(t){if(t.isHidden(this.painter.transform.zoom))return!1;const r=t.type,n=this.painter,i=this._renderableLayerIds[this._renderableLayerIds.length-1]===t.id;if(Fi[r]&&(this._prevType&&Fi[this._prevType]||this._stacks.push([]),this._prevType=r,this._stacks[this._stacks.length-1].push(t.id),!i))return!0;if(Fi[this._prevType]||Fi[r]&&i){this._prevType=r;const t=this._stacks.length-1,i=this._stacks[t]||[];for(const r of this._renderableTiles){if(this.pool.isFull()&&(bn(this.painter,this.terrain,this._rttTiles),this._rttTiles=[],this.pool.freeAllObjects()),this._rttTiles.push(r),r.rtt[t]){const e=this.pool.getObjectForId(r.rtt[t].id);if(e.stamp===r.rtt[t].stamp){this.pool.useObject(e);continue}}const a=this.pool.getOrCreateFreeObject();this.pool.useObject(a),this.pool.stampObject(a),r.rtt[t]={id:a.id,stamp:a.stamp},n.context.bindFramebuffer.set(a.fbo.framebuffer),n.context.clear({color:e.aN.transparent,stencil:0}),n.currentStencilSource=void 0;for(let t=0;t<i.length;t++){const e=n.style._layers[i[t]],o=e.source?this._coordsDescendingInv[e.source][r.tileID.key]:[r.tileID];n.context.viewport.set([0,0,a.fbo.width,a.fbo.height]),n._renderTileClippingMasks(e,o),n.renderLayer(n,n.style.sourceCaches[e.source],e,o),e.source&&(r.rttCoords[e.source]=this._coordsDescendingInvStr[e.source][r.tileID.key])}}return bn(this.painter,this.terrain,this._rttTiles),this._rttTiles=[],this.pool.freeAllObjects(),Fi[r]}return!1}}const Ni={\"AttributionControl.ToggleAttribution\":\"Toggle attribution\",\"AttributionControl.MapFeedback\":\"Map feedback\",\"FullscreenControl.Enter\":\"Enter fullscreen\",\"FullscreenControl.Exit\":\"Exit fullscreen\",\"GeolocateControl.FindMyLocation\":\"Find my location\",\"GeolocateControl.LocationNotAvailable\":\"Location not available\",\"LogoControl.Title\":\"MapLibre logo\",\"Map.Title\":\"Map\",\"Marker.Title\":\"Map marker\",\"NavigationControl.ResetBearing\":\"Reset bearing to north\",\"NavigationControl.ZoomIn\":\"Zoom in\",\"NavigationControl.ZoomOut\":\"Zoom out\",\"Popup.Close\":\"Close popup\",\"ScaleControl.Feet\":\"ft\",\"ScaleControl.Meters\":\"m\",\"ScaleControl.Kilometers\":\"km\",\"ScaleControl.Miles\":\"mi\",\"ScaleControl.NauticalMiles\":\"nm\",\"TerrainControl.Enable\":\"Enable terrain\",\"TerrainControl.Disable\":\"Disable terrain\",\"CooperativeGesturesHandler.WindowsHelpText\":\"Use Ctrl + scroll to zoom the map\",\"CooperativeGesturesHandler.MacHelpText\":\"Use ⌘ + scroll to zoom the map\",\"CooperativeGesturesHandler.MobileHelpText\":\"Use two fingers to move the map\"},ji=r,Ui={hash:!1,interactive:!0,bearingSnap:7,attributionControl:Ci,maplibreLogo:!1,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,refreshExpiredTiles:!0,scrollZoom:!0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:60,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,cooperativeGestures:!1,trackResize:!0,center:[0,0],zoom:0,bearing:0,pitch:0,renderWorldCopies:!0,maxTileCacheSize:null,maxTileCacheZoomLevels:e.a.MAX_TILE_CACHE_ZOOM_LEVELS,transformRequest:null,transformCameraUpdate:null,fadeDuration:300,crossSourceCollisions:!0,clickTolerance:3,localIdeographFontFamily:\"sans-serif\",pitchWithRotate:!0,validateStyle:!0,maxCanvasSize:[4096,4096],cancelPendingTileRequestsWhileZooming:!0};const Vi=t=>{t.touchstart=t.dragStart,t.touchmoveWindow=t.dragMove,t.touchend=t.dragEnd},qi={showCompass:!0,showZoom:!0,visualizePitch:!1};class Hi{constructor(t,r,n=!1){this.mousedown=t=>{this.startMouse(e.e({},t,{ctrlKey:!0,preventDefault:()=>t.preventDefault()}),o.mousePos(this.element,t)),o.addEventListener(window,\"mousemove\",this.mousemove),o.addEventListener(window,\"mouseup\",this.mouseup)},this.mousemove=t=>{this.moveMouse(t,o.mousePos(this.element,t))},this.mouseup=t=>{this.mouseRotate.dragEnd(t),this.mousePitch&&this.mousePitch.dragEnd(t),this.offTemp()},this.touchstart=t=>{1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=o.touchPos(this.element,t.targetTouches)[0],this.startTouch(t,this._startPos),o.addEventListener(window,\"touchmove\",this.touchmove,{passive:!1}),o.addEventListener(window,\"touchend\",this.touchend))},this.touchmove=t=>{1!==t.targetTouches.length?this.reset():(this._lastPos=o.touchPos(this.element,t.targetTouches)[0],this.moveTouch(t,this._lastPos))},this.touchend=t=>{0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),delete this._startPos,delete this._lastPos,this.offTemp()},this.reset=()=>{this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),this.touchRotate.reset(),this.touchPitch&&this.touchPitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()},this._clickTolerance=10;const i=t.dragRotate._mouseRotate.getClickTolerance(),a=t.dragRotate._mousePitch.getClickTolerance();this.element=r,this.mouseRotate=ei({clickTolerance:i,enable:!0}),this.touchRotate=(({enable:t,clickTolerance:e,bearingDegreesPerPixelMoved:r=.8})=>{const n=new Qn;return new $n({clickTolerance:e,move:(t,e)=>({bearingDelta:(e.x-t.x)*r}),moveStateManager:n,enable:t,assignEvents:Vi})})({clickTolerance:i,enable:!0}),this.map=t,n&&(this.mousePitch=ri({clickTolerance:a,enable:!0}),this.touchPitch=(({enable:t,clickTolerance:e,pitchDegreesPerPixelMoved:r=-.5})=>{const n=new Qn;return new $n({clickTolerance:e,move:(t,e)=>({pitchDelta:(e.y-t.y)*r}),moveStateManager:n,enable:t,assignEvents:Vi})})({clickTolerance:a,enable:!0})),o.addEventListener(r,\"mousedown\",this.mousedown),o.addEventListener(r,\"touchstart\",this.touchstart,{passive:!1}),o.addEventListener(r,\"touchcancel\",this.reset)}startMouse(t,e){this.mouseRotate.dragStart(t,e),this.mousePitch&&this.mousePitch.dragStart(t,e),o.disableDrag()}startTouch(t,e){this.touchRotate.dragStart(t,e),this.touchPitch&&this.touchPitch.dragStart(t,e),o.disableDrag()}moveMouse(t,e){const r=this.map,{bearingDelta:n}=this.mouseRotate.dragMove(t,e)||{};if(n&&r.setBearing(r.getBearing()+n),this.mousePitch){const{pitchDelta:n}=this.mousePitch.dragMove(t,e)||{};n&&r.setPitch(r.getPitch()+n)}}moveTouch(t,e){const r=this.map,{bearingDelta:n}=this.touchRotate.dragMove(t,e)||{};if(n&&r.setBearing(r.getBearing()+n),this.touchPitch){const{pitchDelta:n}=this.touchPitch.dragMove(t,e)||{};n&&r.setPitch(r.getPitch()+n)}}off(){const t=this.element;o.removeEventListener(t,\"mousedown\",this.mousedown),o.removeEventListener(t,\"touchstart\",this.touchstart,{passive:!1}),o.removeEventListener(window,\"touchmove\",this.touchmove,{passive:!1}),o.removeEventListener(window,\"touchend\",this.touchend),o.removeEventListener(t,\"touchcancel\",this.reset),this.offTemp()}offTemp(){o.enableDrag(),o.removeEventListener(window,\"mousemove\",this.mousemove),o.removeEventListener(window,\"mouseup\",this.mouseup),o.removeEventListener(window,\"touchmove\",this.touchmove,{passive:!1}),o.removeEventListener(window,\"touchend\",this.touchend)}}let Gi;function Zi(t,r,n){const i=new e.N(t.lng,t.lat);if(t=new e.N(t.lng,t.lat),r){const i=new e.N(t.lng-360,t.lat),a=new e.N(t.lng+360,t.lat),o=n.locationPoint(t).distSqr(r);n.locationPoint(i).distSqr(r)<o?t=i:n.locationPoint(a).distSqr(r)<o&&(t=a)}for(;Math.abs(t.lng-n.center.lng)>180;){const e=n.locationPoint(t);if(e.x>=0&&e.y>=0&&e.x<=n.width&&e.y<=n.height)break;t.lng>n.center.lng?t.lng-=360:t.lng+=360}return t.lng!==i.lng&&n.locationPoint(t).y>n.height/2-n.getHorizon()?t:i}const Wi={center:\"translate(-50%,-50%)\",top:\"translate(-50%,0)\",\"top-left\":\"translate(0,0)\",\"top-right\":\"translate(-100%,0)\",bottom:\"translate(-50%,-100%)\",\"bottom-left\":\"translate(0,-100%)\",\"bottom-right\":\"translate(-100%,-100%)\",left:\"translate(0,-50%)\",right:\"translate(-100%,-50%)\"};function Yi(t,e,r){const n=t.classList;for(const t in Wi)n.remove(`maplibregl-${r}-anchor-${t}`);n.add(`maplibregl-${r}-anchor-${e}`)}class Xi extends e.E{constructor(t){if(super(),this._onKeyPress=t=>{const e=t.code,r=t.charCode||t.keyCode;\"Space\"!==e&&\"Enter\"!==e&&32!==r&&13!==r||this.togglePopup()},this._onMapClick=t=>{const e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},this._update=t=>{var e;if(!this._map)return;const r=this._map.loaded()&&!this._map.isMoving();(\"terrain\"===(null==t?void 0:t.type)||\"render\"===(null==t?void 0:t.type)&&!r)&&this._map.once(\"render\",this._update),this._map.transform.renderWorldCopies?this._lngLat=Zi(this._lngLat,this._flatPos,this._map.transform):this._lngLat=null===(e=this._lngLat)||void 0===e?void 0:e.wrap(),this._flatPos=this._pos=this._map.project(this._lngLat)._add(this._offset),this._map.terrain&&(this._flatPos=this._map.transform.locationPoint(this._lngLat)._add(this._offset));let n=\"\";\"viewport\"===this._rotationAlignment||\"auto\"===this._rotationAlignment?n=`rotateZ(${this._rotation}deg)`:\"map\"===this._rotationAlignment&&(n=`rotateZ(${this._rotation-this._map.getBearing()}deg)`);let i=\"\";\"viewport\"===this._pitchAlignment||\"auto\"===this._pitchAlignment?i=\"rotateX(0deg)\":\"map\"===this._pitchAlignment&&(i=`rotateX(${this._map.getPitch()}deg)`),this._subpixelPositioning||t&&\"moveend\"!==t.type||(this._pos=this._pos.round()),o.setTransform(this._element,`${Wi[this._anchor]} translate(${this._pos.x}px, ${this._pos.y}px) ${i} ${n}`),a.frameAsync(new AbortController).then((()=>{this._updateOpacity(t&&\"moveend\"===t.type)})).catch((()=>{}))},this._onMove=t=>{if(!this._isDragging){const e=this._clickTolerance||this._map._clickTolerance;this._isDragging=t.point.dist(this._pointerdownPos)>=e}this._isDragging&&(this._pos=t.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\"none\",\"pending\"===this._state&&(this._state=\"active\",this.fire(new e.k(\"dragstart\"))),this.fire(new e.k(\"drag\")))},this._onUp=()=>{this._element.style.pointerEvents=\"auto\",this._positionDelta=null,this._pointerdownPos=null,this._isDragging=!1,this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),\"active\"===this._state&&this.fire(new e.k(\"dragend\")),this._state=\"inactive\"},this._addDragHandler=t=>{this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._pointerdownPos=t.point,this._state=\"pending\",this._map.on(\"mousemove\",this._onMove),this._map.on(\"touchmove\",this._onMove),this._map.once(\"mouseup\",this._onUp),this._map.once(\"touchend\",this._onUp))},this._anchor=t&&t.anchor||\"center\",this._color=t&&t.color||\"#3FB1CE\",this._scale=t&&t.scale||1,this._draggable=t&&t.draggable||!1,this._clickTolerance=t&&t.clickTolerance||0,this._subpixelPositioning=t&&t.subpixelPositioning||!1,this._isDragging=!1,this._state=\"inactive\",this._rotation=t&&t.rotation||0,this._rotationAlignment=t&&t.rotationAlignment||\"auto\",this._pitchAlignment=t&&t.pitchAlignment&&\"auto\"!==t.pitchAlignment?t.pitchAlignment:this._rotationAlignment,this.setOpacity(),this.setOpacity(null==t?void 0:t.opacity,null==t?void 0:t.opacityWhenCovered),t&&t.element)this._element=t.element,this._offset=e.P.convert(t&&t.offset||[0,0]);else{this._defaultMarker=!0,this._element=o.create(\"div\");const r=o.createNS(\"http://www.w3.org/2000/svg\",\"svg\"),n=41,i=27;r.setAttributeNS(null,\"display\",\"block\"),r.setAttributeNS(null,\"height\",`${n}px`),r.setAttributeNS(null,\"width\",`${i}px`),r.setAttributeNS(null,\"viewBox\",`0 0 ${i} ${n}`);const a=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");a.setAttributeNS(null,\"stroke\",\"none\"),a.setAttributeNS(null,\"stroke-width\",\"1\"),a.setAttributeNS(null,\"fill\",\"none\"),a.setAttributeNS(null,\"fill-rule\",\"evenodd\");const s=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");s.setAttributeNS(null,\"fill-rule\",\"nonzero\");const l=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");l.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),l.setAttributeNS(null,\"fill\",\"#000000\");const c=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}];for(const t of c){const e=o.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");e.setAttributeNS(null,\"opacity\",\"0.04\"),e.setAttributeNS(null,\"cx\",\"10.5\"),e.setAttributeNS(null,\"cy\",\"5.80029008\"),e.setAttributeNS(null,\"rx\",t.rx),e.setAttributeNS(null,\"ry\",t.ry),l.appendChild(e)}const u=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");u.setAttributeNS(null,\"fill\",this._color);const h=o.createNS(\"http://www.w3.org/2000/svg\",\"path\");h.setAttributeNS(null,\"d\",\"M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z\"),u.appendChild(h);const f=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");f.setAttributeNS(null,\"opacity\",\"0.25\"),f.setAttributeNS(null,\"fill\",\"#000000\");const p=o.createNS(\"http://www.w3.org/2000/svg\",\"path\");p.setAttributeNS(null,\"d\",\"M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z\"),f.appendChild(p);const d=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");d.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),d.setAttributeNS(null,\"fill\",\"#FFFFFF\");const m=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");m.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");const g=o.createNS(\"http://www.w3.org/2000/svg\",\"circle\");g.setAttributeNS(null,\"fill\",\"#000000\"),g.setAttributeNS(null,\"opacity\",\"0.25\"),g.setAttributeNS(null,\"cx\",\"5.5\"),g.setAttributeNS(null,\"cy\",\"5.5\"),g.setAttributeNS(null,\"r\",\"5.4999962\");const y=o.createNS(\"http://www.w3.org/2000/svg\",\"circle\");y.setAttributeNS(null,\"fill\",\"#FFFFFF\"),y.setAttributeNS(null,\"cx\",\"5.5\"),y.setAttributeNS(null,\"cy\",\"5.5\"),y.setAttributeNS(null,\"r\",\"5.4999962\"),m.appendChild(g),m.appendChild(y),s.appendChild(l),s.appendChild(u),s.appendChild(f),s.appendChild(d),s.appendChild(m),r.appendChild(s),r.setAttributeNS(null,\"height\",n*this._scale+\"px\"),r.setAttributeNS(null,\"width\",i*this._scale+\"px\"),this._element.appendChild(r),this._offset=e.P.convert(t&&t.offset||[0,-14])}if(this._element.classList.add(\"maplibregl-marker\"),this._element.addEventListener(\"dragstart\",(t=>{t.preventDefault()})),this._element.addEventListener(\"mousedown\",(t=>{t.preventDefault()})),Yi(this._element,this._anchor,\"marker\"),t&&t.className)for(const e of t.className.split(\" \"))this._element.classList.add(e);this._popup=null}addTo(t){return this.remove(),this._map=t,this._element.setAttribute(\"aria-label\",t._getUIString(\"Marker.Title\")),t.getCanvasContainer().appendChild(this._element),t.on(\"move\",this._update),t.on(\"moveend\",this._update),t.on(\"terrain\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this}remove(){return this._opacityTimeout&&(clearTimeout(this._opacityTimeout),delete this._opacityTimeout),this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"terrain\",this._update),this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler),this._map.off(\"mouseup\",this._onUp),this._map.off(\"touchend\",this._onUp),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),delete this._map),o.remove(this._element),this._popup&&this._popup.remove(),this}getLngLat(){return this._lngLat}setLngLat(t){return this._lngLat=e.N.convert(t),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this}getElement(){return this._element}setPopup(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),t){if(!(\"offset\"in t.options)){const e=38.1,r=13.5,n=Math.abs(r)/Math.SQRT2;t.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-e],\"bottom-left\":[n,-1*(e-r+n)],\"bottom-right\":[-n,-1*(e-r+n)],left:[r,-1*(e-r)],right:[-r,-1*(e-r)]}:this._offset}this._popup=t,this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress)}return this}setSubpixelPositioning(t){return this._subpixelPositioning=t,this}getPopup(){return this._popup}togglePopup(){const t=this._popup;return this._element.style.opacity===this._opacityWhenCovered?this:t?(t.isOpen()?t.remove():(t.setLngLat(this._lngLat),t.addTo(this._map)),this):this}_updateOpacity(t=!1){var r,n;if(!(null===(r=this._map)||void 0===r?void 0:r.terrain))return void(this._element.style.opacity!==this._opacity&&(this._element.style.opacity=this._opacity));if(t)this._opacityTimeout=null;else{if(this._opacityTimeout)return;this._opacityTimeout=setTimeout((()=>{this._opacityTimeout=null}),100)}const i=this._map,a=i.terrain.depthAtPoint(this._pos),o=i.terrain.getElevationForLngLatZoom(this._lngLat,i.transform.tileZoom);if(i.transform.lngLatToCameraDepth(this._lngLat,o)-a<.006)return void(this._element.style.opacity=this._opacity);const s=-this._offset.y/i.transform._pixelPerMeter,l=Math.sin(i.getPitch()*Math.PI/180)*s,c=i.terrain.depthAtPoint(new e.P(this._pos.x,this._pos.y-this._offset.y)),u=i.transform.lngLatToCameraDepth(this._lngLat,o+l)-c>.006;(null===(n=this._popup)||void 0===n?void 0:n.isOpen())&&u&&this._popup.remove(),this._element.style.opacity=u?this._opacityWhenCovered:this._opacity}getOffset(){return this._offset}setOffset(t){return this._offset=e.P.convert(t),this._update(),this}addClassName(t){this._element.classList.add(t)}removeClassName(t){this._element.classList.remove(t)}toggleClassName(t){return this._element.classList.toggle(t)}setDraggable(t){return this._draggable=!!t,this._map&&(t?(this._map.on(\"mousedown\",this._addDragHandler),this._map.on(\"touchstart\",this._addDragHandler)):(this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler))),this}isDraggable(){return this._draggable}setRotation(t){return this._rotation=t||0,this._update(),this}getRotation(){return this._rotation}setRotationAlignment(t){return this._rotationAlignment=t||\"auto\",this._update(),this}getRotationAlignment(){return this._rotationAlignment}setPitchAlignment(t){return this._pitchAlignment=t&&\"auto\"!==t?t:this._rotationAlignment,this._update(),this}getPitchAlignment(){return this._pitchAlignment}setOpacity(t,e){return void 0===t&&void 0===e&&(this._opacity=\"1\",this._opacityWhenCovered=\"0.2\"),void 0!==t&&(this._opacity=t),void 0!==e&&(this._opacityWhenCovered=e),this._map&&this._updateOpacity(!0),this}}const $i={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};let Ji=0,Ki=!1;class Qi extends e.E{constructor(t){super(),this._onSuccess=t=>{if(this._map){if(this._isOutOfMapMaxBounds(t))return this._setErrorState(),this.fire(new e.k(\"outofmaxbounds\",t)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=t,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-background\");break;default:throw new Error(`Unexpected watchState ${this._watchState}`)}this.options.showUserLocation&&\"OFF\"!==this._watchState&&this._updateMarker(t),this.options.trackUserLocation&&\"ACTIVE_LOCK\"!==this._watchState||this._updateCamera(t),this.options.showUserLocation&&this._dotElement.classList.remove(\"maplibregl-user-location-dot-stale\"),this.fire(new e.k(\"geolocate\",t)),this._finish()}},this._updateCamera=t=>{const r=new e.N(t.coords.longitude,t.coords.latitude),n=t.coords.accuracy,i=this._map.getBearing(),a=e.e({bearing:i},this.options.fitBoundsOptions),o=X.fromLngLat(r,n);this._map.fitBounds(o,a,{geolocateSource:!0})},this._updateMarker=t=>{if(t){const r=new e.N(t.coords.longitude,t.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=t.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},this._onZoom=()=>{this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},this._onError=t=>{if(this._map){if(this.options.trackUserLocation)if(1===t.code){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;const t=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=t,this._geolocateButton.setAttribute(\"aria-label\",t),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===t.code&&Ki)return;this._setErrorState()}\"OFF\"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add(\"maplibregl-user-location-dot-stale\"),this.fire(new e.k(\"error\",t)),this._finish()}},this._finish=()=>{this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},this._setupUI=()=>{this._map&&(this._container.addEventListener(\"contextmenu\",(t=>t.preventDefault())),this._geolocateButton=o.create(\"button\",\"maplibregl-ctrl-geolocate\",this._container),o.create(\"span\",\"maplibregl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",\"true\"),this._geolocateButton.type=\"button\",this._geolocateButton.disabled=!0)},this._finishSetupUI=t=>{if(this._map){if(!1===t){e.w(\"Geolocation support is not available so the GeolocateControl will be disabled.\");const t=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=t,this._geolocateButton.setAttribute(\"aria-label\",t)}else{const t=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.disabled=!1,this._geolocateButton.title=t,this._geolocateButton.setAttribute(\"aria-label\",t)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=o.create(\"div\",\"maplibregl-user-location-dot\"),this._userLocationDotMarker=new Xi({element:this._dotElement}),this._circleElement=o.create(\"div\",\"maplibregl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Xi({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",(()=>this.trigger())),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",(t=>{const r=t.originalEvent&&\"resize\"===t.originalEvent.type;t.geolocateSource||\"ACTIVE_LOCK\"!==this._watchState||r||(this._watchState=\"BACKGROUND\",this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this.fire(new e.k(\"trackuserlocationend\")),this.fire(new e.k(\"userlocationlostfocus\")))}))}},this.options=e.e({},$i,t)}onAdd(t){return this._map=t,this._container=o.create(\"div\",\"maplibregl-ctrl maplibregl-ctrl-group\"),this._setupUI(),function(){return e._(this,arguments,void 0,(function*(t=!1){if(void 0!==Gi&&!t)return Gi;if(void 0===window.navigator.permissions)return Gi=!!window.navigator.geolocation,Gi;try{const t=yield window.navigator.permissions.query({name:\"geolocation\"});Gi=\"denied\"!==t.state}catch(t){Gi=!!window.navigator.geolocation}return Gi}))}().then((t=>this._finishSetupUI(t))),this._container}onRemove(){void 0!==this._geolocationWatchID&&(window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),o.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,Ji=0,Ki=!1}_isOutOfMapMaxBounds(t){const e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitude<e.getWest()||r.longitude>e.getEast()||r.latitude<e.getSouth()||r.latitude>e.getNorth())}_setErrorState(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-waiting\");break;case\"ACTIVE_ERROR\":break;default:throw new Error(`Unexpected watchState ${this._watchState}`)}}_updateCircleRadius(){const t=this._map.getBounds(),e=t.getSouthEast(),r=t.getNorthEast(),n=e.distanceTo(r),i=this._map._container.clientHeight,a=Math.ceil(this._accuracy/(n/i)*2);this._circleElement.style.width=`${a}px`,this._circleElement.style.height=`${a}px`}trigger(){if(!this._setup)return e.w(\"Geolocate control triggered before added to a map\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new e.k(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":Ji--,Ki=!1,this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background-error\"),this.fire(new e.k(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new e.k(\"trackuserlocationstart\")),this.fire(new e.k(\"userlocationfocus\"));break;default:throw new Error(`Unexpected watchState ${this._watchState}`)}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active\");break;case\"OFF\":break;default:throw new Error(`Unexpected watchState ${this._watchState}`)}if(\"OFF\"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){let t;this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),Ji++,Ji>1?(t={maximumAge:6e5,timeout:0},Ki=!0):(t=this.options.positionOptions,Ki=!1),this._geolocationWatchID=window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,t)}}else window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0}_clearWatch(){window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)}}const ta={maxWidth:100,unit:\"metric\"};function ea(t,e,r){const n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&\"imperial\"===r.unit){const r=3.2808*s;r>5280?ra(e,n,r/5280,t._getUIString(\"ScaleControl.Miles\")):ra(e,n,r,t._getUIString(\"ScaleControl.Feet\"))}else r&&\"nautical\"===r.unit?ra(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\")):s>=1e3?ra(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):ra(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function ra(t,e,r,n){const i=function(t){const e=Math.pow(10,`${Math.floor(t)}`.length-1);let r=t/e;return r=r>=10?10:r>=5?5:r>=3?3:r>=2?2:r>=1?1:function(t){const e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(r),e*r}(r),a=i/r;t.style.width=e*a+\"px\",t.innerHTML=`${i}&nbsp;${n}`}class na extends e.E{constructor(t={}){super(),this._onFullscreenChange=()=>{var t;let e=window.document.fullscreenElement||window.document.mozFullScreenElement||window.document.webkitFullscreenElement||window.document.msFullscreenElement;for(;null===(t=null==e?void 0:e.shadowRoot)||void 0===t?void 0:t.fullscreenElement;)e=e.shadowRoot.fullscreenElement;e===this._container!==this._fullscreen&&this._handleFullscreenChange()},this._onClickFullscreen=()=>{this._isFullscreen()?this._exitFullscreen():this._requestFullscreen()},this._fullscreen=!1,t&&t.container&&(t.container instanceof HTMLElement?this._container=t.container:e.w(\"Full screen control 'container' must be a DOM element.\")),\"onfullscreenchange\"in document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in document&&(this._fullscreenchange=\"MSFullscreenChange\")}onAdd(t){return this._map=t,this._container||(this._container=this._map.getContainer()),this._controlContainer=o.create(\"div\",\"maplibregl-ctrl maplibregl-ctrl-group\"),this._setupUI(),this._controlContainer}onRemove(){o.remove(this._controlContainer),this._map=null,window.document.removeEventListener(this._fullscreenchange,this._onFullscreenChange)}_setupUI(){const t=this._fullscreenButton=o.create(\"button\",\"maplibregl-ctrl-fullscreen\",this._controlContainer);o.create(\"span\",\"maplibregl-ctrl-icon\",t).setAttribute(\"aria-hidden\",\"true\"),t.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),window.document.addEventListener(this._fullscreenchange,this._onFullscreenChange)}_updateTitle(){const t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t}_getTitle(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")}_isFullscreen(){return this._fullscreen}_handleFullscreenChange(){this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"maplibregl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"maplibregl-ctrl-fullscreen\"),this._updateTitle(),this._fullscreen?(this.fire(new e.k(\"fullscreenstart\")),this._prevCooperativeGesturesEnabled=this._map.cooperativeGestures.isEnabled(),this._map.cooperativeGestures.disable()):(this.fire(new e.k(\"fullscreenend\")),this._prevCooperativeGesturesEnabled&&this._map.cooperativeGestures.enable())}_exitFullscreen(){window.document.exitFullscreen?window.document.exitFullscreen():window.document.mozCancelFullScreen?window.document.mozCancelFullScreen():window.document.msExitFullscreen?window.document.msExitFullscreen():window.document.webkitCancelFullScreen?window.document.webkitCancelFullScreen():this._togglePseudoFullScreen()}_requestFullscreen(){this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen?this._container.webkitRequestFullscreen():this._togglePseudoFullScreen()}_togglePseudoFullScreen(){this._container.classList.toggle(\"maplibregl-pseudo-fullscreen\"),this._handleFullscreenChange(),this._map.resize()}}const ia={closeButton:!0,closeOnClick:!0,focusAfterOpen:!0,className:\"\",maxWidth:\"240px\",subpixelPositioning:!1},aa=[\"a[href]\",\"[tabindex]:not([tabindex='-1'])\",\"[contenteditable]:not([contenteditable='false'])\",\"button:not([disabled])\",\"input:not([disabled])\",\"select:not([disabled])\",\"textarea:not([disabled])\"].join(\", \");class oa extends e.E{constructor(t){super(),this.remove=()=>(this._content&&o.remove(this._content),this._container&&(o.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),this._map._canvasContainer.classList.remove(\"maplibregl-track-pointer\"),delete this._map,this.fire(new e.k(\"close\"))),this),this._onMouseUp=t=>{this._update(t.point)},this._onMouseMove=t=>{this._update(t.point)},this._onDrag=t=>{this._update(t.point)},this._update=t=>{var e;const r=this._lngLat||this._trackPointer;if(!this._map||!r||!this._content)return;if(!this._container){if(this._container=o.create(\"div\",\"maplibregl-popup\",this._map.getContainer()),this._tip=o.create(\"div\",\"maplibregl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className)for(const t of this.options.className.split(\" \"))this._container.classList.add(t);this._closeButton&&this._closeButton.setAttribute(\"aria-label\",this._map._getUIString(\"Popup.Close\")),this._trackPointer&&this._container.classList.add(\"maplibregl-popup-track-pointer\")}if(this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer?this._lngLat=Zi(this._lngLat,this._flatPos,this._map.transform):this._lngLat=null===(e=this._lngLat)||void 0===e?void 0:e.wrap(),this._trackPointer&&!t)return;const n=this._flatPos=this._pos=this._trackPointer&&t?t:this._map.project(this._lngLat);this._map.terrain&&(this._flatPos=this._trackPointer&&t?t:this._map.transform.locationPoint(this._lngLat));let i=this.options.anchor;const a=sa(this.options.offset);if(!i){const t=this._container.offsetWidth,e=this._container.offsetHeight;let r;r=n.y+a.bottom.y<e?[\"top\"]:n.y>this._map.transform.height-e?[\"bottom\"]:[],n.x<t/2?r.push(\"left\"):n.x>this._map.transform.width-t/2&&r.push(\"right\"),i=0===r.length?\"bottom\":r.join(\"-\")}let s=n.add(a[i]);this.options.subpixelPositioning||(s=s.round()),o.setTransform(this._container,`${Wi[i]} translate(${s.x}px,${s.y}px)`),Yi(this._container,i,\"popup\")},this._onClose=()=>{this.remove()},this.options=e.e(Object.create(ia),t)}addTo(t){return this._map&&this.remove(),this._map=t,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._focusFirstElement(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"maplibregl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"maplibregl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new e.k(\"open\")),this}isOpen(){return!!this._map}getLngLat(){return this._lngLat}setLngLat(t){return this._lngLat=e.N.convert(t),this._pos=null,this._flatPos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"maplibregl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"maplibregl-track-pointer\")),this}trackPointer(){return this._trackPointer=!0,this._pos=null,this._flatPos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"maplibregl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"maplibregl-track-pointer\")),this}getElement(){return this._container}setText(t){return this.setDOMContent(document.createTextNode(t))}setHTML(t){const e=document.createDocumentFragment(),r=document.createElement(\"body\");let n;for(r.innerHTML=t;n=r.firstChild,n;)e.appendChild(n);return this.setDOMContent(e)}getMaxWidth(){var t;return null===(t=this._container)||void 0===t?void 0:t.style.maxWidth}setMaxWidth(t){return this.options.maxWidth=t,this._update(),this}setDOMContent(t){if(this._content)for(;this._content.hasChildNodes();)this._content.firstChild&&this._content.removeChild(this._content.firstChild);else this._content=o.create(\"div\",\"maplibregl-popup-content\",this._container);return this._content.appendChild(t),this._createCloseButton(),this._update(),this._focusFirstElement(),this}addClassName(t){return this._container&&this._container.classList.add(t),this}removeClassName(t){return this._container&&this._container.classList.remove(t),this}setOffset(t){return this.options.offset=t,this._update(),this}toggleClassName(t){if(this._container)return this._container.classList.toggle(t)}setSubpixelPositioning(t){this.options.subpixelPositioning=t}_createCloseButton(){this.options.closeButton&&(this._closeButton=o.create(\"button\",\"maplibregl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClose))}_focusFirstElement(){if(!this.options.focusAfterOpen||!this._container)return;const t=this._container.querySelector(aa);t&&t.focus()}}function sa(t){if(t){if(\"number\"==typeof t){const r=Math.round(Math.abs(t)/Math.SQRT2);return{center:new e.P(0,0),top:new e.P(0,t),\"top-left\":new e.P(r,r),\"top-right\":new e.P(-r,r),bottom:new e.P(0,-t),\"bottom-left\":new e.P(r,-r),\"bottom-right\":new e.P(-r,-r),left:new e.P(t,0),right:new e.P(-t,0)}}if(t instanceof e.P||Array.isArray(t)){const r=e.P.convert(t);return{center:r,top:r,\"top-left\":r,\"top-right\":r,bottom:r,\"bottom-left\":r,\"bottom-right\":r,left:r,right:r}}return{center:e.P.convert(t.center||[0,0]),top:e.P.convert(t.top||[0,0]),\"top-left\":e.P.convert(t[\"top-left\"]||[0,0]),\"top-right\":e.P.convert(t[\"top-right\"]||[0,0]),bottom:e.P.convert(t.bottom||[0,0]),\"bottom-left\":e.P.convert(t[\"bottom-left\"]||[0,0]),\"bottom-right\":e.P.convert(t[\"bottom-right\"]||[0,0]),left:e.P.convert(t.left||[0,0]),right:e.P.convert(t.right||[0,0])}}return sa(new e.P(0,0))}const la=r;t.AJAXError=e.bg,t.Evented=e.E,t.LngLat=e.N,t.MercatorCoordinate=e.Z,t.Point=e.P,t.addProtocol=e.bh,t.config=e.a,t.removeProtocol=e.bi,t.AttributionControl=Li,t.BoxZoomHandler=Gn,t.CanvasSource=it,t.CooperativeGesturesHandler=Ti,t.DoubleClickZoomHandler=yi,t.DragPanHandler=_i,t.DragRotateHandler=bi,t.EdgeInsets=Mn,t.FullscreenControl=na,t.GeoJSONSource=tt,t.GeolocateControl=Qi,t.Hash=Ln,t.ImageSource=rt,t.KeyboardHandler=pi,t.LngLatBounds=X,t.LogoControl=Ii,t.Map=class extends Ei{constructor(t){e.be.mark(e.bf.create);const r=Object.assign(Object.assign({},Ui),t);if(null!=r.minZoom&&null!=r.maxZoom&&r.minZoom>r.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(null!=r.minPitch&&null!=r.maxPitch&&r.minPitch>r.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(null!=r.minPitch&&r.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(null!=r.maxPitch&&r.maxPitch>85)throw new Error(\"maxPitch must be less than or equal to 85\");if(super(new En(r.minZoom,r.maxZoom,r.minPitch,r.maxPitch,r.renderWorldCopies),{bearingSnap:r.bearingSnap}),this._idleTriggered=!1,this._crossFadingFactor=1,this._renderTaskQueue=new Pi,this._controls=[],this._mapId=e.a4(),this._contextLost=t=>{t.preventDefault(),this._frameRequest&&(this._frameRequest.abort(),this._frameRequest=null),this.fire(new e.k(\"webglcontextlost\",{originalEvent:t}))},this._contextRestored=t=>{this._setupPainter(),this.resize(),this._update(),this.fire(new e.k(\"webglcontextrestored\",{originalEvent:t}))},this._onMapScroll=t=>{if(t.target===this._container)return this._container.scrollTop=0,this._container.scrollLeft=0,!1},this._onWindowOnline=()=>{this._update()},this._interactive=r.interactive,this._maxTileCacheSize=r.maxTileCacheSize,this._maxTileCacheZoomLevels=r.maxTileCacheZoomLevels,this._failIfMajorPerformanceCaveat=!0===r.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=!0===r.preserveDrawingBuffer,this._antialias=!0===r.antialias,this._trackResize=!0===r.trackResize,this._bearingSnap=r.bearingSnap,this._refreshExpiredTiles=!0===r.refreshExpiredTiles,this._fadeDuration=r.fadeDuration,this._crossSourceCollisions=!0===r.crossSourceCollisions,this._collectResourceTiming=!0===r.collectResourceTiming,this._locale=Object.assign(Object.assign({},Ni),r.locale),this._clickTolerance=r.clickTolerance,this._overridePixelRatio=r.pixelRatio,this._maxCanvasSize=r.maxCanvasSize,this.transformCameraUpdate=r.transformCameraUpdate,this.cancelPendingTileRequestsWhileZooming=!0===r.cancelPendingTileRequestsWhileZooming,this._imageQueueHandle=p.addThrottleControl((()=>this.isMoving())),this._requestManager=new d(r.transformRequest),\"string\"==typeof r.container){if(this._container=document.getElementById(r.container),!this._container)throw new Error(`Container '${r.container}' not found.`)}else{if(!(r.container instanceof HTMLElement))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=r.container}if(r.maxBounds&&this.setMaxBounds(r.maxBounds),this._setupContainer(),this._setupPainter(),this.on(\"move\",(()=>this._update(!1))).on(\"moveend\",(()=>this._update(!1))).on(\"zoom\",(()=>this._update(!0))).on(\"terrain\",(()=>{this.painter.terrainFacilitator.dirty=!0,this._update(!0)})).once(\"idle\",(()=>{this._idleTriggered=!0})),\"undefined\"!=typeof window){addEventListener(\"online\",this._onWindowOnline,!1);let t=!1;const e=Cn((t=>{this._trackResize&&!this._removed&&this.resize(t)._update()}),50);this._resizeObserver=new ResizeObserver((r=>{t?e(r):t=!0})),this._resizeObserver.observe(this._container)}this.handlers=new Si(this,r);const n=\"string\"==typeof r.hash&&r.hash||void 0;this._hash=r.hash&&new Ln(n).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:r.center,zoom:r.zoom,bearing:r.bearing,pitch:r.pitch}),r.bounds&&(this.resize(),this.fitBounds(r.bounds,e.e({},r.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=r.localIdeographFontFamily,this._validateStyle=r.validateStyle,r.style&&this.setStyle(r.style,{localIdeographFontFamily:r.localIdeographFontFamily}),r.attributionControl&&this.addControl(new Li(\"boolean\"==typeof r.attributionControl?void 0:r.attributionControl)),r.maplibreLogo&&this.addControl(new Ii,r.logoPosition),this.on(\"style.load\",(()=>{this.transform.unmodified&&this.jumpTo(this.style.stylesheet)})),this.on(\"data\",(t=>{this._update(\"style\"===t.dataType),this.fire(new e.k(`${t.dataType}data`,t))})),this.on(\"dataloading\",(t=>{this.fire(new e.k(`${t.dataType}dataloading`,t))})),this.on(\"dataabort\",(t=>{this.fire(new e.k(\"sourcedataabort\",t))}))}_getMapId(){return this._mapId}addControl(t,r){if(void 0===r&&(r=t.getDefaultPosition?t.getDefaultPosition():\"top-right\"),!t||!t.onAdd)return this.fire(new e.j(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));const n=t.onAdd(this);this._controls.push(t);const i=this._controlPositions[r];return-1!==r.indexOf(\"bottom\")?i.insertBefore(n,i.firstChild):i.appendChild(n),this}removeControl(t){if(!t||!t.onRemove)return this.fire(new e.j(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));const r=this._controls.indexOf(t);return r>-1&&this._controls.splice(r,1),t.onRemove(this),this}hasControl(t){return this._controls.indexOf(t)>-1}calculateCameraOptionsFromTo(t,e,r,n){return null==n&&this.terrain&&(n=this.terrain.getElevationForLngLatZoom(r,this.transform.tileZoom)),super.calculateCameraOptionsFromTo(t,e,r,n)}resize(t){var r;const n=this._containerDimensions(),i=n[0],a=n[1],o=this._getClampedPixelRatio(i,a);if(this._resizeCanvas(i,a,o),this.painter.resize(i,a,o),this.painter.overLimit()){const t=this.painter.context.gl;this._maxCanvasSize=[t.drawingBufferWidth,t.drawingBufferHeight];const e=this._getClampedPixelRatio(i,a);this._resizeCanvas(i,a,e),this.painter.resize(i,a,e)}this.transform.resize(i,a),null===(r=this._requestedCameraState)||void 0===r||r.resize(i,a);const s=!this._moving;return s&&(this.stop(),this.fire(new e.k(\"movestart\",t)).fire(new e.k(\"move\",t))),this.fire(new e.k(\"resize\",t)),s&&this.fire(new e.k(\"moveend\",t)),this}_getClampedPixelRatio(t,e){const{0:r,1:n}=this._maxCanvasSize,i=this.getPixelRatio(),a=t*i,o=e*i,s=a>r?r/a:1,l=o>n?n/o:1;return Math.min(s,l)*i}getPixelRatio(){var t;return null!==(t=this._overridePixelRatio)&&void 0!==t?t:devicePixelRatio}setPixelRatio(t){this._overridePixelRatio=t,this.resize()}getBounds(){return this.transform.getBounds()}getMaxBounds(){return this.transform.getMaxBounds()}setMaxBounds(t){return this.transform.setMaxBounds(X.convert(t)),this._update()}setMinZoom(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error(\"minZoom must be between -2 and the current maxZoom, inclusive\")}getMinZoom(){return this.transform.minZoom}setMaxZoom(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be greater than the current minZoom\")}getMaxZoom(){return this.transform.maxZoom}setMinPitch(t){if((t=null==t?0:t)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error(\"minPitch must be between 0 and the current maxPitch, inclusive\")}getMinPitch(){return this.transform.minPitch}setMaxPitch(t){if((t=null==t?60:t)>85)throw new Error(\"maxPitch must be less than or equal to 85\");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error(\"maxPitch must be greater than the current minPitch\")}getMaxPitch(){return this.transform.maxPitch}getRenderWorldCopies(){return this.transform.renderWorldCopies}setRenderWorldCopies(t){return this.transform.renderWorldCopies=t,this._update()}project(t){return this.transform.locationPoint(e.N.convert(t),this.style&&this.terrain)}unproject(t){return this.transform.pointLocation(e.P.convert(t),this.terrain)}isMoving(){var t;return this._moving||(null===(t=this.handlers)||void 0===t?void 0:t.isMoving())}isZooming(){var t;return this._zooming||(null===(t=this.handlers)||void 0===t?void 0:t.isZooming())}isRotating(){var t;return this._rotating||(null===(t=this.handlers)||void 0===t?void 0:t.isRotating())}_createDelegatedListener(t,e,r){if(\"mouseenter\"===t||\"mouseover\"===t){let n=!1;const i=i=>{const a=this.getLayer(e)?this.queryRenderedFeatures(i.point,{layers:[e]}):[];a.length?n||(n=!0,r.call(this,new Nn(t,this,i.originalEvent,{features:a}))):n=!1};return{layer:e,listener:r,delegates:{mousemove:i,mouseout:()=>{n=!1}}}}if(\"mouseleave\"===t||\"mouseout\"===t){let n=!1;const i=i=>{(this.getLayer(e)?this.queryRenderedFeatures(i.point,{layers:[e]}):[]).length?n=!0:n&&(n=!1,r.call(this,new Nn(t,this,i.originalEvent)))},a=e=>{n&&(n=!1,r.call(this,new Nn(t,this,e.originalEvent)))};return{layer:e,listener:r,delegates:{mousemove:i,mouseout:a}}}{const n=t=>{const n=this.getLayer(e)?this.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(this,t),delete t.features)};return{layer:e,listener:r,delegates:{[t]:n}}}}on(t,e,r){if(void 0===r)return super.on(t,e);const n=this._createDelegatedListener(t,e,r);this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(n);for(const t in n.delegates)this.on(t,n.delegates[t]);return this}once(t,e,r){if(void 0===r)return super.once(t,e);const n=this._createDelegatedListener(t,e,r);for(const t in n.delegates)this.once(t,n.delegates[t]);return this}off(t,e,r){if(void 0===r)return super.off(t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&(n=>{const i=n[t];for(let t=0;t<i.length;t++){const n=i[t];if(n.layer===e&&n.listener===r){for(const t in n.delegates)this.off(t,n.delegates[t]);return i.splice(t,1),this}}})(this._delegatedListeners),this}queryRenderedFeatures(t,r){if(!this.style)return[];let n;const i=t instanceof e.P||Array.isArray(t),a=i?t:[[0,0],[this.transform.width,this.transform.height]];if(r=r||(i?{}:t)||{},a instanceof e.P||\"number\"==typeof a[0])n=[e.P.convert(a)];else{const t=e.P.convert(a[0]),r=e.P.convert(a[1]);n=[t,new e.P(r.x,t.y),r,new e.P(t.x,r.y),t]}return this.style.queryRenderedFeatures(n,r,this.transform)}querySourceFeatures(t,e){return this.style.querySourceFeatures(t,e)}setStyle(t,r){return!1!==(r=e.e({},{localIdeographFontFamily:this._localIdeographFontFamily,validate:this._validateStyle},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&t?(this._diffStyle(t,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(t,r))}setTransformRequest(t){return this._requestManager.setTransformRequest(t),this}_getUIString(t){const e=this._locale[t];if(null==e)throw new Error(`Missing UI string '${t}'`);return e}_updateStyle(t,e){if(e.transformStyle&&this.style&&!this.style._loaded)return void this.style.once(\"style.load\",(()=>this._updateStyle(t,e)));const r=this.style&&e.transformStyle?this.style.serialize():void 0;return this.style&&(this.style.setEventedParent(null),this.style._remove(!t)),t?(this.style=new de(this,e||{}),this.style.setEventedParent(this,{style:this.style}),\"string\"==typeof t?this.style.loadURL(t,e,r):this.style.loadJSON(t,e,r),this):(delete this.style,this)}_lazyInitEmptyStyle(){this.style||(this.style=new de(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())}_diffStyle(t,r){if(\"string\"==typeof t){const n=t,i=this._requestManager.transformRequest(n,\"Style\");e.h(i,new AbortController).then((t=>{this._updateDiff(t.data,r)})).catch((t=>{t&&this.fire(new e.j(t))}))}else\"object\"==typeof t&&this._updateDiff(t,r)}_updateDiff(t,r){try{this.style.setState(t,r)&&this._update(!0)}catch(n){e.w(`Unable to perform style diff: ${n.message||n.error||n}.  Rebuilding the style from scratch.`),this._updateStyle(t,r)}}getStyle(){if(this.style)return this.style.serialize()}isStyleLoaded(){return this.style?this.style.loaded():e.w(\"There is no style added to the map.\")}addSource(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)}isSourceLoaded(t){const r=this.style&&this.style.sourceCaches[t];if(void 0!==r)return r.loaded();this.fire(new e.j(new Error(`There is no source with ID '${t}'`)))}setTerrain(t){if(this.style._checkLoaded(),this._terrainDataCallback&&this.style.off(\"data\",this._terrainDataCallback),t){const r=this.style.sourceCaches[t.source];if(!r)throw new Error(`cannot load terrain, because there exists no source with ID: ${t.source}`);null===this.terrain&&r.reload();for(const r in this.style._layers){const n=this.style._layers[r];\"hillshade\"===n.type&&n.source===t.source&&e.w(\"You are using the same source for a hillshade layer and for 3D terrain. Please consider using two separate sources to improve rendering quality.\")}this.terrain=new Di(this.painter,r,t),this.painter.renderToTexture=new Bi(this.painter,this.terrain),this.transform.minElevationForCurrentTile=this.terrain.getMinTileElevationForLngLatZoom(this.transform.center,this.transform.tileZoom),this.transform.elevation=this.terrain.getElevationForLngLatZoom(this.transform.center,this.transform.tileZoom),this._terrainDataCallback=e=>{\"style\"===e.dataType?this.terrain.sourceCache.freeRtt():\"source\"===e.dataType&&e.tile&&(e.sourceId!==t.source||this._elevationFreeze||(this.transform.minElevationForCurrentTile=this.terrain.getMinTileElevationForLngLatZoom(this.transform.center,this.transform.tileZoom),this.transform.elevation=this.terrain.getElevationForLngLatZoom(this.transform.center,this.transform.tileZoom)),this.terrain.sourceCache.freeRtt(e.tile.tileID))},this.style.on(\"data\",this._terrainDataCallback)}else this.terrain&&this.terrain.sourceCache.destruct(),this.terrain=null,this.painter.renderToTexture&&this.painter.renderToTexture.destruct(),this.painter.renderToTexture=null,this.transform.minElevationForCurrentTile=0,this.transform.elevation=0;return this.fire(new e.k(\"terrain\",{terrain:t})),this}getTerrain(){var t,e;return null!==(e=null===(t=this.terrain)||void 0===t?void 0:t.options)&&void 0!==e?e:null}areTilesLoaded(){const t=this.style&&this.style.sourceCaches;for(const e in t){const r=t[e]._tiles;for(const t in r){const e=r[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}}return!0}removeSource(t){return this.style.removeSource(t),this._update(!0)}getSource(t){return this.style.getSource(t)}addImage(t,r,n={}){const{pixelRatio:i=1,sdf:o=!1,stretchX:s,stretchY:l,content:c,textFitWidth:u,textFitHeight:h}=n;this._lazyInitEmptyStyle();if(!(r instanceof HTMLImageElement||e.b(r))){if(void 0===r.width||void 0===r.height)return this.fire(new e.j(new Error(\"Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));{const{width:n,height:a,data:f}=r,p=r;return this.style.addImage(t,{data:new e.R({width:n,height:a},new Uint8Array(f)),pixelRatio:i,stretchX:s,stretchY:l,content:c,textFitWidth:u,textFitHeight:h,sdf:o,version:0,userImage:p}),p.onAdd&&p.onAdd(this,t),this}}{const{width:n,height:f,data:p}=a.getImageData(r);this.style.addImage(t,{data:new e.R({width:n,height:f},p),pixelRatio:i,stretchX:s,stretchY:l,content:c,textFitWidth:u,textFitHeight:h,sdf:o,version:0})}}updateImage(t,r){const n=this.style.getImage(t);if(!n)return this.fire(new e.j(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));const i=r instanceof HTMLImageElement||e.b(r)?a.getImageData(r):r,{width:o,height:s,data:l}=i;if(void 0===o||void 0===s)return this.fire(new e.j(new Error(\"Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));if(o!==n.data.width||s!==n.data.height)return this.fire(new e.j(new Error(\"The width and height of the updated image must be that same as the previous version of the image\")));const c=!(r instanceof HTMLImageElement||e.b(r));return n.data.replace(l,c),this.style.updateImage(t,n),this}getImage(t){return this.style.getImage(t)}hasImage(t){return t?!!this.style.getImage(t):(this.fire(new e.j(new Error(\"Missing required image id\"))),!1)}removeImage(t){this.style.removeImage(t)}loadImage(t){return p.getImage(this._requestManager.transformRequest(t,\"Image\"),new AbortController)}listImages(){return this.style.listImages()}addLayer(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)}moveLayer(t,e){return this.style.moveLayer(t,e),this._update(!0)}removeLayer(t){return this.style.removeLayer(t),this._update(!0)}getLayer(t){return this.style.getLayer(t)}getLayersOrder(){return this.style.getLayersOrder()}setLayerZoomRange(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)}setFilter(t,e,r={}){return this.style.setFilter(t,e,r),this._update(!0)}getFilter(t){return this.style.getFilter(t)}setPaintProperty(t,e,r,n={}){return this.style.setPaintProperty(t,e,r,n),this._update(!0)}getPaintProperty(t,e){return this.style.getPaintProperty(t,e)}setLayoutProperty(t,e,r,n={}){return this.style.setLayoutProperty(t,e,r,n),this._update(!0)}getLayoutProperty(t,e){return this.style.getLayoutProperty(t,e)}setGlyphs(t,e={}){return this._lazyInitEmptyStyle(),this.style.setGlyphs(t,e),this._update(!0)}getGlyphs(){return this.style.getGlyphsUrl()}addSprite(t,e,r={}){return this._lazyInitEmptyStyle(),this.style.addSprite(t,e,r,(t=>{t||this._update(!0)})),this}removeSprite(t){return this._lazyInitEmptyStyle(),this.style.removeSprite(t),this._update(!0)}getSprite(){return this.style.getSprite()}setSprite(t,e={}){return this._lazyInitEmptyStyle(),this.style.setSprite(t,e,(t=>{t||this._update(!0)})),this}setLight(t,e={}){return this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)}getLight(){return this.style.getLight()}setSky(t){return this._lazyInitEmptyStyle(),this.style.setSky(t),this._update(!0)}getSky(){return this.style.getSky()}setFeatureState(t,e){return this.style.setFeatureState(t,e),this._update()}removeFeatureState(t,e){return this.style.removeFeatureState(t,e),this._update()}getFeatureState(t){return this.style.getFeatureState(t)}getContainer(){return this._container}getCanvasContainer(){return this._canvasContainer}getCanvas(){return this._canvas}_containerDimensions(){let t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]}_setupContainer(){const t=this._container;t.classList.add(\"maplibregl-map\");const e=this._canvasContainer=o.create(\"div\",\"maplibregl-canvas-container\",t);this._interactive&&e.classList.add(\"maplibregl-interactive\"),this._canvas=o.create(\"canvas\",\"maplibregl-canvas\",e),this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",this._interactive?\"0\":\"-1\"),this._canvas.setAttribute(\"aria-label\",this._getUIString(\"Map.Title\")),this._canvas.setAttribute(\"role\",\"region\");const r=this._containerDimensions(),n=this._getClampedPixelRatio(r[0],r[1]);this._resizeCanvas(r[0],r[1],n);const i=this._controlContainer=o.create(\"div\",\"maplibregl-control-container\",t),a=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach((t=>{a[t]=o.create(\"div\",`maplibregl-ctrl-${t} `,i)})),this._container.addEventListener(\"scroll\",this._onMapScroll,!1)}_resizeCanvas(t,e,r){this._canvas.width=Math.floor(r*t),this._canvas.height=Math.floor(r*e),this._canvas.style.width=`${t}px`,this._canvas.style.height=`${e}px`}_setupPainter(){const t={alpha:!0,stencil:!0,depth:!0,failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1};let e=null;this._canvas.addEventListener(\"webglcontextcreationerror\",(r=>{e={requestedAttributes:t},r&&(e.statusMessage=r.statusMessage,e.type=r.type)}),{once:!0});const r=this._canvas.getContext(\"webgl2\",t)||this._canvas.getContext(\"webgl\",t);if(!r){const t=\"Failed to initialize WebGL\";throw e?(e.message=t,new Error(JSON.stringify(e))):new Error(t)}this.painter=new Tn(r,this.transform),s.testSupport(r)}loaded(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()}_update(t){return this.style&&this.style._loaded?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this}_requestRenderFrame(t){return this._update(),this._renderTaskQueue.add(t)}_cancelRenderFrame(t){this._renderTaskQueue.remove(t)}_render(t){const r=this._idleTriggered?this._fadeDuration:0;if(this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(t),this._removed)return;let n=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;const t=this.transform.zoom,i=a.now();this.style.zoomHistory.update(t,i);const o=new e.a9(t,{now:i,fadeDuration:r,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),s=o.crossFadingFactor();1===s&&s===this._crossFadingFactor||(n=!0,this._crossFadingFactor=s),this.style.update(o)}this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this.terrain?(this.terrain.sourceCache.update(this.transform,this.terrain),this.transform.minElevationForCurrentTile=this.terrain.getMinTileElevationForLngLatZoom(this.transform.center,this.transform.tileZoom),this._elevationFreeze||(this.transform.elevation=this.terrain.getElevationForLngLatZoom(this.transform.center,this.transform.tileZoom))):(this.transform.minElevationForCurrentTile=0,this.transform.elevation=0),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,r,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:r,showPadding:this.showPadding}),this.fire(new e.k(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,e.be.mark(e.bf.load),this.fire(new e.k(\"load\"))),this.style&&(this.style.hasTransitions()||n)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles();const i=this._sourcesDirty||this._styleDirty||this._placementDirty;return i||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&this.fire(new e.k(\"idle\")),!this._loaded||this._fullyLoaded||i||(this._fullyLoaded=!0,e.be.mark(e.bf.fullLoad)),this}redraw(){return this.style&&(this._frameRequest&&(this._frameRequest.abort(),this._frameRequest=null),this._render(0)),this}remove(){var t;this._hash&&this._hash.remove();for(const t of this._controls)t.onRemove(this);this._controls=[],this._frameRequest&&(this._frameRequest.abort(),this._frameRequest=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),\"undefined\"!=typeof window&&removeEventListener(\"online\",this._onWindowOnline,!1),p.removeThrottleControl(this._imageQueueHandle),null===(t=this._resizeObserver)||void 0===t||t.disconnect();const r=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");(null==r?void 0:r.loseContext)&&r.loseContext(),this._canvas.removeEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.removeEventListener(\"webglcontextlost\",this._contextLost,!1),o.remove(this._canvasContainer),o.remove(this._controlContainer),this._container.classList.remove(\"maplibregl-map\"),e.be.clearMetrics(),this._removed=!0,this.fire(new e.k(\"remove\"))}triggerRepaint(){this.style&&!this._frameRequest&&(this._frameRequest=new AbortController,a.frameAsync(this._frameRequest).then((t=>{e.be.frame(t),this._frameRequest=null,this._render(t)})).catch((()=>{})))}get showTileBoundaries(){return!!this._showTileBoundaries}set showTileBoundaries(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())}get showPadding(){return!!this._showPadding}set showPadding(t){this._showPadding!==t&&(this._showPadding=t,this._update())}get showCollisionBoxes(){return!!this._showCollisionBoxes}set showCollisionBoxes(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())}get showOverdrawInspector(){return!!this._showOverdrawInspector}set showOverdrawInspector(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())}get repaint(){return!!this._repaint}set repaint(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())}get vertices(){return!!this._vertices}set vertices(t){this._vertices=t,this._update()}get version(){return ji}getCameraTargetElevation(){return this.transform.elevation}},t.MapMouseEvent=Nn,t.MapTouchEvent=jn,t.MapWheelEvent=Un,t.Marker=Xi,t.NavigationControl=class{constructor(t){this._updateZoomButtons=()=>{const t=this._map.getZoom(),e=t===this._map.getMaxZoom(),r=t===this._map.getMinZoom();this._zoomInButton.disabled=e,this._zoomOutButton.disabled=r,this._zoomInButton.setAttribute(\"aria-disabled\",e.toString()),this._zoomOutButton.setAttribute(\"aria-disabled\",r.toString())},this._rotateCompassArrow=()=>{const t=this.options.visualizePitch?`scale(${1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)}) rotateX(${this._map.transform.pitch}deg) rotateZ(${this._map.transform.angle*(180/Math.PI)}deg)`:`rotate(${this._map.transform.angle*(180/Math.PI)}deg)`;this._compassIcon.style.transform=t},this._setButtonTitle=(t,e)=>{const r=this._map._getUIString(`NavigationControl.${e}`);t.title=r,t.setAttribute(\"aria-label\",r)},this.options=e.e({},qi,t),this._container=o.create(\"div\",\"maplibregl-ctrl maplibregl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",(t=>t.preventDefault())),this.options.showZoom&&(this._zoomInButton=this._createButton(\"maplibregl-ctrl-zoom-in\",(t=>this._map.zoomIn({},{originalEvent:t}))),o.create(\"span\",\"maplibregl-ctrl-icon\",this._zoomInButton).setAttribute(\"aria-hidden\",\"true\"),this._zoomOutButton=this._createButton(\"maplibregl-ctrl-zoom-out\",(t=>this._map.zoomOut({},{originalEvent:t}))),o.create(\"span\",\"maplibregl-ctrl-icon\",this._zoomOutButton).setAttribute(\"aria-hidden\",\"true\")),this.options.showCompass&&(this._compass=this._createButton(\"maplibregl-ctrl-compass\",(t=>{this.options.visualizePitch?this._map.resetNorthPitch({},{originalEvent:t}):this._map.resetNorth({},{originalEvent:t})})),this._compassIcon=o.create(\"span\",\"maplibregl-ctrl-icon\",this._compass),this._compassIcon.setAttribute(\"aria-hidden\",\"true\"))}onAdd(t){return 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                       {\"responsive\": true}                    ).then(function(){\n",
+       "                            \n",
+       "var gd = document.getElementById('5ad445c9-c212-484c-afa3-2754b867231a');\n",
+       "var x = new MutationObserver(function (mutations, observer) {{\n",
+       "        var display = window.getComputedStyle(gd).display;\n",
+       "        if (!display || display === 'none') {{\n",
+       "            console.log([gd, 'removed!']);\n",
+       "            Plotly.purge(gd);\n",
+       "            observer.disconnect();\n",
+       "        }}\n",
+       "}});\n",
+       "\n",
+       "// Listen for the removal of the full notebook cells\n",
+       "var notebookContainer = gd.closest('#notebook-container');\n",
+       "if (notebookContainer) {{\n",
+       "    x.observe(notebookContainer, {childList: true});\n",
+       "}}\n",
+       "\n",
+       "// Listen for the clearing of the current output cell\n",
+       "var outputEl = gd.closest('.output');\n",
+       "if (outputEl) {{\n",
+       "    x.observe(outputEl, {childList: true});\n",
+       "}}\n",
+       "\n",
+       "                        })                };                });            </script>        </div>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# no EXIF data: provide a coarse location prior as address\n",
+    "image_path = \"assets/query_zurich_1.JPG\"\n",
+    "prior_address = \"ETH CAB Zurich\"\n",
+    "\n",
+    "# Try out these other queries!\n",
+    "# image_path = \"assets/query_vancouver_1.JPG\"\n",
+    "# prior_address = \"Vancouver Waterfront Station\"\n",
+    "\n",
+    "# image_path = \"assets/query_vancouver_2.JPG\"\n",
+    "image_path = \"assets/query_vancouver_3.JPG\"\n",
+    "# prior_address = None # here we load the location prior from the exif\n",
+    "\n",
+    "image, gravity, proj, bbox = read_input_image(\n",
+    "    image_path,\n",
+    "    tile_size_meters=128,  # try 64, 256, etc.\n",
+    ")\n",
+    "\n",
+    "# Show the query area in an interactive map\n",
+    "plot = GeoPlotter(zoom=16)\n",
+    "plot.points(proj.latlonalt[:2], \"red\", name=\"location prior\", size=10)\n",
+    "plot.bbox(proj.unproject(bbox), \"blue\", name=\"map tile\")\n",
+    "plot.fig.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5775ee72-6f7d-423d-a513-7680ba9189b2",
+   "metadata": {},
+   "source": [
+    "# Using the OSM TileManager"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "31fb4047-0d85-4b18-8b97-0f917f33ea39",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "CPU times: user 4 μs, sys: 1 μs, total: 5 μs\n",
+      "Wall time: 7.87 μs\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Query OpenStreetMap for this area\n",
+    "%time\n",
+    "tiler = TileManager.from_bbox(proj, bbox + 10, ppm=2, path=Path('none.json'))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "25eb42ae-1dd9-4890-843d-4a0f391b6b59",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "bbox_degrees = proj.unproject(bbox)\n",
+    "(south, west), (north, east) = bbox_degrees.min_, bbox_degrees.max_"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "a88169a1-bcad-49db-8b52-d4e2ed50607f",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "POLYGON((-123.11701768207513 49.28465184777454, -123.11701768207513 49.286953680762764,-123.1134989026913 49.286953680762764, -123.1134989026913 49.28465184777454, -123.11701768207513 49.28465184777454))\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(f\"POLYGON(({west} {south}, {west} {north},{east} {north}, {east} {south}, {west} {south}))\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "7f3f47f1-9b79-4740-86ad-c33417b9864b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "canvas = tiler.query(bbox)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "7c02a10f-9942-42a5-aeaf-88b7803d053f",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1050x450 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Show the inputs to the model: image and raster map\n",
+    "map_viz = Colormap.apply(canvas.raster)\n",
+    "plot_images([image, map_viz], titles=[\"input image\", \"OpenStreetMap\"])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "1b76dc3a-0199-41c9-ab3a-15e25738027f",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "True"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "rgb_image = np.transpose(canvas.raster, (1, 2, 0))\n",
+    "cv2.imwrite('osm.png', rgb_image)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "a90bdd57-a95f-467f-8f19-88c6cc0fca73",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1050x450 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plot_images([image, map_viz], titles=[\"input image\", \"OpenStreetMap raster\"])\n",
+    "plot_nodes(1, canvas.raster[2], fontsize=6, size=10)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4c1ed093-6a27-4244-a418-214111abe3c7",
+   "metadata": {},
+   "source": [
+    "# Using the GeoPandas TileManager (and fetching from vector tiles)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "6c8daca4-9619-4953-a149-656ead6b2619",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "CPU times: user 3 μs, sys: 1 μs, total: 4 μs\n",
+      "Wall time: 11 μs\n"
+     ]
+    },
+    {
+     "ename": "NameError",
+     "evalue": "name 'parse_osm_tags_to_group' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[12], line 2\u001b[0m\n\u001b[1;32m      1\u001b[0m get_ipython()\u001b[38;5;241m.\u001b[39mrun_line_magic(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtime\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m----> 2\u001b[0m tiler2 \u001b[38;5;241m=\u001b[39m \u001b[43mTileManager\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfrom_bbox\u001b[49m\u001b[43m(\u001b[49m\u001b[43mproj\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mbbox\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m+\u001b[39;49m\u001b[43m \u001b[49m\u001b[38;5;241;43m10\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mppm\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m2\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43msource\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mearth\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m~/OrienterNet/maploc/osm/tiling.py:123\u001b[0m, in \u001b[0;36mTileManager.from_bbox\u001b[0;34m(cls, projection, bbox, ppm, path, tile_size, source)\u001b[0m\n\u001b[1;32m    115\u001b[0m     map_data \u001b[38;5;241m=\u001b[39m MapData\u001b[38;5;241m.\u001b[39mfrom_geodataframe(\n\u001b[1;32m    116\u001b[0m         gdf\u001b[38;5;241m=\u001b[39mvector_tiles_to_geodataframe(bbox\u001b[38;5;241m=\u001b[39mbbox_degrees),\n\u001b[1;32m    117\u001b[0m         projection\u001b[38;5;241m=\u001b[39mprojection,\n\u001b[1;32m    118\u001b[0m     )\n\u001b[1;32m    120\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m source \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mearth\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[1;32m    121\u001b[0m     \u001b[38;5;66;03m# Create OrienterNet Map Data from earth table\u001b[39;00m\n\u001b[1;32m    122\u001b[0m     map_data \u001b[38;5;241m=\u001b[39m MapData\u001b[38;5;241m.\u001b[39mfrom_geodataframe(\n\u001b[0;32m--> 123\u001b[0m         gdf\u001b[38;5;241m=\u001b[39m\u001b[43mearth_to_geodataframe\u001b[49m\u001b[43m(\u001b[49m\u001b[43mbbox\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mbbox_degrees\u001b[49m\u001b[43m)\u001b[49m,\n\u001b[1;32m    124\u001b[0m         projection\u001b[38;5;241m=\u001b[39mprojection,\n\u001b[1;32m    125\u001b[0m     )\n\u001b[1;32m    127\u001b[0m map_index \u001b[38;5;241m=\u001b[39m MapIndex(map_data)\n\u001b[1;32m    129\u001b[0m bounds_x, bounds_y \u001b[38;5;241m=\u001b[39m [\n\u001b[1;32m    130\u001b[0m     np\u001b[38;5;241m.\u001b[39mr_[np\u001b[38;5;241m.\u001b[39marange(min_, max_, tile_size), max_]\n\u001b[1;32m    131\u001b[0m     \u001b[38;5;28;01mfor\u001b[39;00m min_, max_ \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mzip\u001b[39m(bbox\u001b[38;5;241m.\u001b[39mmin_, bbox\u001b[38;5;241m.\u001b[39mmax_)\n\u001b[1;32m    132\u001b[0m ]\n",
+      "File \u001b[0;32m~/OrienterNet/maploc/osm/download.py:164\u001b[0m, in \u001b[0;36mearth_to_geodataframe\u001b[0;34m(bbox)\u001b[0m\n\u001b[1;32m    161\u001b[0m df[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mgeometry\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m df\u001b[38;5;241m.\u001b[39mwkt\u001b[38;5;241m.\u001b[39mapply(parse_wkt)\n\u001b[1;32m    162\u001b[0m gdf \u001b[38;5;241m=\u001b[39m gpd\u001b[38;5;241m.\u001b[39mGeoDataFrame(df, geometry\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mgeometry\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m--> 164\u001b[0m gdf[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mgroup\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[43mgdf\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mapply\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    165\u001b[0m \u001b[43m    \u001b[49m\u001b[38;5;28;43;01mlambda\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mrow\u001b[49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mparse_osm_tags_to_group\u001b[49m\u001b[43m(\u001b[49m\u001b[43mjson\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mloads\u001b[49m\u001b[43m(\u001b[49m\u001b[43mrow\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtags\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mrow\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgeometry\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43maxis\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m1\u001b[39;49m\n\u001b[1;32m    166\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    168\u001b[0m gdf[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mlabel\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m    170\u001b[0m filtered \u001b[38;5;241m=\u001b[39m gdf[pd\u001b[38;5;241m.\u001b[39mnotnull(gdf\u001b[38;5;241m.\u001b[39mgroup)][_columns]\n",
+      "File \u001b[0;32m~/jupyter-env/lib/python3.13/site-packages/geopandas/geodataframe.py:1834\u001b[0m, in \u001b[0;36mGeoDataFrame.apply\u001b[0;34m(self, func, axis, raw, result_type, args, **kwargs)\u001b[0m\n\u001b[1;32m   1832\u001b[0m \u001b[38;5;129m@doc\u001b[39m(pd\u001b[38;5;241m.\u001b[39mDataFrame)\n\u001b[1;32m   1833\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mapply\u001b[39m(\u001b[38;5;28mself\u001b[39m, func, axis\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m0\u001b[39m, raw\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m, result_type\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, args\u001b[38;5;241m=\u001b[39m(), \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[0;32m-> 1834\u001b[0m     result \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43msuper\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mapply\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m   1835\u001b[0m \u001b[43m        \u001b[49m\u001b[43mfunc\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43maxis\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43maxis\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mraw\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mraw\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mresult_type\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mresult_type\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43margs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\n\u001b[1;32m   1836\u001b[0m \u001b[43m    \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1837\u001b[0m     \u001b[38;5;66;03m# Reconstruct gdf if it was lost by apply\u001b[39;00m\n\u001b[1;32m   1838\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m (\n\u001b[1;32m   1839\u001b[0m         \u001b[38;5;28misinstance\u001b[39m(result, DataFrame)\n\u001b[1;32m   1840\u001b[0m         \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_geometry_column_name \u001b[38;5;129;01min\u001b[39;00m result\u001b[38;5;241m.\u001b[39mcolumns\n\u001b[1;32m   1841\u001b[0m     ):\n\u001b[1;32m   1842\u001b[0m         \u001b[38;5;66;03m# axis=1 apply will split GeometryDType to object, try and cast back\u001b[39;00m\n",
+      "File \u001b[0;32m~/jupyter-env/lib/python3.13/site-packages/pandas/core/frame.py:10374\u001b[0m, in \u001b[0;36mDataFrame.apply\u001b[0;34m(self, func, axis, raw, result_type, args, by_row, engine, engine_kwargs, **kwargs)\u001b[0m\n\u001b[1;32m  10360\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mpandas\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mcore\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mapply\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m frame_apply\n\u001b[1;32m  10362\u001b[0m op \u001b[38;5;241m=\u001b[39m frame_apply(\n\u001b[1;32m  10363\u001b[0m     \u001b[38;5;28mself\u001b[39m,\n\u001b[1;32m  10364\u001b[0m     func\u001b[38;5;241m=\u001b[39mfunc,\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m  10372\u001b[0m     kwargs\u001b[38;5;241m=\u001b[39mkwargs,\n\u001b[1;32m  10373\u001b[0m )\n\u001b[0;32m> 10374\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mop\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mapply\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241m.\u001b[39m__finalize__(\u001b[38;5;28mself\u001b[39m, method\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mapply\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n",
+      "File \u001b[0;32m~/jupyter-env/lib/python3.13/site-packages/pandas/core/apply.py:916\u001b[0m, in \u001b[0;36mFrameApply.apply\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    913\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mraw:\n\u001b[1;32m    914\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mapply_raw(engine\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mengine, engine_kwargs\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mengine_kwargs)\n\u001b[0;32m--> 916\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mapply_standard\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m~/jupyter-env/lib/python3.13/site-packages/pandas/core/apply.py:1063\u001b[0m, in \u001b[0;36mFrameApply.apply_standard\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m   1061\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mapply_standard\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[1;32m   1062\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mengine \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mpython\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[0;32m-> 1063\u001b[0m         results, res_index \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mapply_series_generator\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1064\u001b[0m     \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m   1065\u001b[0m         results, res_index \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mapply_series_numba()\n",
+      "File \u001b[0;32m~/jupyter-env/lib/python3.13/site-packages/pandas/core/apply.py:1081\u001b[0m, in \u001b[0;36mFrameApply.apply_series_generator\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m   1078\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m option_context(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmode.chained_assignment\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28;01mNone\u001b[39;00m):\n\u001b[1;32m   1079\u001b[0m     \u001b[38;5;28;01mfor\u001b[39;00m i, v \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28menumerate\u001b[39m(series_gen):\n\u001b[1;32m   1080\u001b[0m         \u001b[38;5;66;03m# ignore SettingWithCopy here in case the user mutates\u001b[39;00m\n\u001b[0;32m-> 1081\u001b[0m         results[i] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[43mv\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1082\u001b[0m         \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(results[i], ABCSeries):\n\u001b[1;32m   1083\u001b[0m             \u001b[38;5;66;03m# If we have a view on v, we need to make a copy because\u001b[39;00m\n\u001b[1;32m   1084\u001b[0m             \u001b[38;5;66;03m#  series_generator will swap out the underlying data\u001b[39;00m\n\u001b[1;32m   1085\u001b[0m             results[i] \u001b[38;5;241m=\u001b[39m results[i]\u001b[38;5;241m.\u001b[39mcopy(deep\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m)\n",
+      "File \u001b[0;32m~/OrienterNet/maploc/osm/download.py:165\u001b[0m, in \u001b[0;36mearth_to_geodataframe.<locals>.<lambda>\u001b[0;34m(row)\u001b[0m\n\u001b[1;32m    161\u001b[0m df[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mgeometry\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m df\u001b[38;5;241m.\u001b[39mwkt\u001b[38;5;241m.\u001b[39mapply(parse_wkt)\n\u001b[1;32m    162\u001b[0m gdf \u001b[38;5;241m=\u001b[39m gpd\u001b[38;5;241m.\u001b[39mGeoDataFrame(df, geometry\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mgeometry\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m    164\u001b[0m gdf[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mgroup\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m gdf\u001b[38;5;241m.\u001b[39mapply(\n\u001b[0;32m--> 165\u001b[0m     \u001b[38;5;28;01mlambda\u001b[39;00m row: \u001b[43mparse_osm_tags_to_group\u001b[49m(json\u001b[38;5;241m.\u001b[39mloads(row\u001b[38;5;241m.\u001b[39mtags), row\u001b[38;5;241m.\u001b[39mgeometry), axis\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m1\u001b[39m\n\u001b[1;32m    166\u001b[0m )\n\u001b[1;32m    168\u001b[0m gdf[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mlabel\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m    170\u001b[0m filtered \u001b[38;5;241m=\u001b[39m gdf[pd\u001b[38;5;241m.\u001b[39mnotnull(gdf\u001b[38;5;241m.\u001b[39mgroup)][_columns]\n",
+      "\u001b[0;31mNameError\u001b[0m: name 'parse_osm_tags_to_group' is not defined"
+     ]
+    }
+   ],
+   "source": [
+    "%time\n",
+    "tiler2 = TileManager.from_bbox(proj, bbox + 10, ppm=2, source='earth')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b43b9c7d-a2d6-42f7-9fe7-4ea76ebd12ac",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "canvas2 = tiler2.query(bbox)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "a77eec19-9cc7-4fd0-ae04-9bd3e7acda0f",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1050x450 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Show the inputs to the model: image and raster map\n",
+    "map_viz2 = Colormap.apply(canvas2.raster)\n",
+    "plot_images([image, map_viz2], titles=[\"input image\", \"From internal OSM Tables\"])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "8c3eb1c5-a685-4cf7-b746-a659fa82ad1e",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1050x450 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plot_images([image, map_viz2], titles=[\"input image\", \"From internal OSM Tables\"])\n",
+    "plot_nodes(1, canvas2.raster[2], fontsize=6, size=10)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3f32bfa8-39f6-4791-8712-ca1f3420e8a9",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.13.1"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/maploc/__init__.py b/maploc/__init__.py
index 8824223..2166e14 100644
--- a/maploc/__init__.py
+++ b/maploc/__init__.py
@@ -3,7 +3,7 @@
 import logging
 from pathlib import Path
 
-import pytorch_lightning  # noqa: F401
+# import pytorch_lightning  # noqa: F401
 
 formatter = logging.Formatter(
     fmt="[%(asctime)s %(name)s %(levelname)s] %(message)s",
diff --git a/maploc/osm/data.py b/maploc/osm/data.py
index 066ac79..097de28 100644
--- a/maploc/osm/data.py
+++ b/maploc/osm/data.py
@@ -4,10 +4,20 @@
 from dataclasses import dataclass, field
 from typing import Dict, List, Optional, Set, Tuple
 
+import geopandas as gpd
+
 import numpy as np
+from shapely import (
+    get_exterior_ring,
+    get_interior_ring,
+    get_num_interior_rings,
+    get_parts,
+)
+from shapely.ops import transform
+
+from ..utils.geo import Projection
 
 from .parser import (
-    Patterns,
     filter_area,
     filter_node,
     filter_way,
@@ -15,6 +25,7 @@
     parse_area,
     parse_node,
     parse_way,
+    Patterns,
 )
 from .reader import OSMData, OSMNode, OSMRelation, OSMWay
 
@@ -112,6 +123,19 @@ def from_osm(cls, node: OSMNode, label: str, group: str):
             xy=node.xy,
         )
 
+    @classmethod
+    def from_geojson(cls, feature, projection, label, group):
+        _coords = feature.get("geometry").get("coordinates")
+        lat_lon = [_coords[1], _coords[0]]
+
+        return cls(
+            feature.get("properties").get("id"),
+            label,
+            group,
+            feature.get("properties"),
+            xy=projection.project(lat_lon),
+        )
+
 
 @dataclass
 class MapLine(MapElement):
@@ -127,6 +151,14 @@ def from_osm(cls, way: OSMWay, label: str, group: str):
             way.tags,
             xy=xy,
         )
+        xy = [[_[1], _[0]] for _ in feature.get("geometry").get("coordinates")]
+        return cls(
+            feature.get("properties").get("id"),
+            label,
+            group,
+            feature.get("properties"),
+            xy=projection.project(xy),
+        )
 
 
 @dataclass
@@ -227,3 +259,66 @@ def from_osm(cls, osm: OSMData):
                 self.areas[rel.id_] = area
 
         return self
+
+    @classmethod
+    def from_geodataframe(cls, gdf: gpd.GeoDataFrame, projection: Projection):
+        """
+        Expects a GeoDataFrame with the following columns:
+        - geometry: shapely geometry
+        - label: string label
+        - group: string group
+
+        It also expects the projection to be passed in and then used to convert
+        from shapely geometry to the proper numpy array object.
+        """
+        self = cls()
+        idx = 0
+
+        # Areas
+        for row_idx, row in gdf[
+            gdf.geometry.apply(lambda g: g.geom_type).isin(["MultiPolygon", "Polygon"])
+        ].iterrows():
+            outers = []
+            inners = []
+            for p in get_parts(row.geometry):
+                idx += 1
+                exterior_ring = get_exterior_ring(p)
+                yx = transform(lambda x, y: (y, x), exterior_ring).coords
+                outers.append(projection.project(yx))
+
+                # TODO: Haven't tested this anywhere where interior rings exit:
+                for interior_ring_idx in range(0, get_num_interior_rings(p)):
+                    interior_ring = get_interior_ring(p, interior_ring_idx)
+                    yx = transform(lambda x, y: (y, x), interior_ring).coords
+                    inners.append(projection.project(yx))
+
+                self.areas[idx] = MapArea(
+                    row_idx, row.label, row.group, {}, outers, inners
+                )
+
+        # Lines
+        for row_idx, row in gdf[
+            gdf.geometry.apply(lambda g: g.geom_type).isin(
+                ["LineString", "MultiLineString"]
+            )
+        ].iterrows():
+            for p in get_parts(row.geometry):
+                idx += 1
+                yx = transform(lambda x, y: (y, x), p).coords
+
+                self.lines[idx] = MapLine(
+                    row_idx, row.label, row.group, {}, projection.project(yx)
+                )
+
+        # "Nodes" (Points)
+        for row_idx, row in gdf[
+            gdf.geometry.apply(lambda g: g.geom_type).isin(["MultiPoint", "Point"])
+        ].iterrows():
+            for p in get_parts(row.geometry):
+                idx += 1
+                yx = transform(lambda x, y: (y, x), p).coords
+                self.nodes[idx] = MapNode(
+                    row_idx, row.label, row.group, {}, projection.project(yx)[0]
+                )
+
+        return self
diff --git a/maploc/osm/download.py b/maploc/osm/download.py
index 2c1f7a2..40f2dbb 100644
--- a/maploc/osm/download.py
+++ b/maploc/osm/download.py
@@ -1,17 +1,28 @@
 # Copyright (c) Meta Platforms, Inc. and affiliates.
 
-import json
+import json, math, urllib3
 from http.client import responses
 from pathlib import Path
 from typing import Any, Dict, Optional
 
-import urllib3
+import geopandas as gpd
+
+import pandas as pd
+
+from mapbox_vector_tile import decode
+from shapely.geometry import shape
+from shapely.wkt import loads as parse_wkt
 
 from .. import logger
 from ..utils.geo import BoundaryBox
 
 OSM_URL = "https://api.openstreetmap.org/api/0.6/map.json"
 
+FB_TILE_SERVER_URL = (
+    # "https://www.internalfb.com/intern/maps/vtp/s1/20250217080099/{z}/{x}/{y}/"
+    "https://external.xx.fbcdn.net/maps/vtp/s1/77/{z}/{x}/{y}/?locale=en_US"
+)
+
 
 def get_osm(
     boundary_box: BoundaryBox,
@@ -33,3 +44,193 @@ def get_osm(
     if cache_path is not None:
         cache_path.write_bytes(result.data)
     return result.json()
+
+
+def lat_lon_to_tile(lat, lon, zoom):
+    """Convert latitude and longitude to tile coordinates."""
+    n = 2.0**zoom
+    x_tile = int((lon + 180.0) / 360.0 * n)
+    y_tile = int(
+        (
+            1.0
+            - (
+                math.log(math.tan(math.radians(lat)) + 1 / math.cos(math.radians(lat)))
+                / math.pi
+            )
+        )
+        / 2.0
+        * n
+    )
+    return x_tile, y_tile
+
+
+def tile_to_quadkey(x_tile, y_tile, zoom):
+    """Convert tile coordinates to a quadkey."""
+    quadkey = ""
+    for i in range(zoom, 0, -1):
+        digit = 0
+        mask = 1 << (i - 1)
+        if (x_tile & mask) != 0:
+            digit += 1
+        if (y_tile & mask) != 0:
+            digit += 2
+        quadkey += str(digit)
+    return quadkey
+
+
+def bounding_box_to_tiles(north, south, east, west, zoom=16):
+
+    print(north, south, east, west, zoom)
+    """Generate a list of quadkeys for a bounding box at a given zoom level."""
+
+    # Convert bounding box corners to tile coordinates
+    x_tile_min, y_tile_max = lat_lon_to_tile(south, west, zoom)
+    x_tile_max, y_tile_min = lat_lon_to_tile(north, east, zoom)
+
+    print(x_tile_min, y_tile_max)
+    print(x_tile_max, y_tile_min)
+
+    # Generate quadkeys for all tiles in the bounding box
+    tiles = []
+    for x_tile in range(x_tile_min, x_tile_max + 1):
+        for y_tile in range(y_tile_min, y_tile_max + 1):
+            quadkey = tile_to_quadkey(x_tile, y_tile, zoom)
+            print(quadkey)
+            tiles.append((x_tile, y_tile))
+
+    return tiles
+
+
+# https://gis.stackexchange.com/questions/401541/decoding-mapbox-vector-tiles/460173#460173
+def pixel2deg(xtile, ytile, zoom, xpixel, ypixel, extent=4096):
+    xtile = xtile + (xpixel / extent)
+    ytile = ytile + ((extent - ypixel) / extent)
+    lon_deg = (xtile / 2**zoom) * 360.0 - 180.0
+    lat_rad = math.atan(math.sinh(math.pi * (1 - 2 * ytile / 2**zoom)))
+    lat_deg = math.degrees(lat_rad)
+    return (lon_deg, lat_deg)
+
+
+def vector_tiles_to_geodataframe(
+    bbox: BoundaryBox,
+    zoom: int = 16,
+):
+    (south, west), (north, east) = bbox.min_, bbox.max_
+
+    print("here")
+
+    tiles = bounding_box_to_tiles(
+        north=north, south=south, east=east, west=west, zoom=zoom
+    )
+
+    features = []
+    _columns = ["group", "label", "geometry"]
+
+    for t in tiles:
+        result = urllib3.request(
+            "GET",
+            FB_TILE_SERVER_URL.format(x=t[0], y=t[1], z=zoom),
+            fields={},
+            timeout=10,
+        )
+
+        if result.status != 200:
+            error = result.info()["error"]
+            raise ValueError(f"{result.status} {responses[result.status]}: {error}")
+
+        decoded_tile = decode(
+            tile=result.data,
+            default_options={
+                "transformer": lambda x, y: pixel2deg(t[0], t[1], zoom, x, y)
+            },
+        )
+
+        # Clip Dataframe and add relevant columns based on properties
+        if decoded_tile.get("building"):
+            buildings = gpd.GeoDataFrame(
+                [
+                    f.get("properties")
+                    for f in decoded_tile.get("building").get("features")
+                ],
+                geometry=[
+                    shape(f.get("geometry"))
+                    for f in decoded_tile.get("building").get("features")
+                ],
+            )
+
+            if "isDetail" in buildings.columns:
+                buildings = buildings[buildings.isDetail != "true"]
+
+            buildings = buildings.clip(mask=[west, south, east, north])
+            buildings["group"] = "building"
+            buildings["label"] = "none"
+
+            features.append(buildings[pd.notnull(buildings.group)][_columns])
+
+        if decoded_tile.get("road"):
+            roads = gpd.GeoDataFrame(
+                [f.get("properties") for f in decoded_tile.get("road").get("features")],
+                geometry=[
+                    shape(f.get("geometry"))
+                    for f in decoded_tile.get("road").get("features")
+                ],
+            )
+
+            roads = roads.clip(mask=[west, south, east, north])
+            roads["group"] = roads["class"].apply(
+                lambda _cls: "path" if _cls in {"pedestrian"} else "road"
+            )
+            roads["label"] = roads["class"]
+
+            features.append(roads[pd.notnull(roads.group)][_columns])
+
+        if decoded_tile.get("landuse"):
+            landuse = gpd.GeoDataFrame(
+                [
+                    f.get("properties")
+                    for f in decoded_tile.get("landuse").get("features")
+                ],
+                geometry=[
+                    shape(f.get("geometry"))
+                    for f in decoded_tile.get("landuse").get("features")
+                ],
+            )
+
+            landuse = landuse.clip(mask=[west, south, east, north])
+            landuse["group"] = landuse["class"].apply(
+                lambda _cls: "grass" if _cls in {"greenspace"} else None
+            )
+            landuse["label"] = landuse["class"]
+
+            features.append(landuse[pd.notnull(landuse.group)][_columns])
+
+    return pd.concat(features)
+
+
+def earth_to_geodataframe(
+    bbox: BoundaryBox,
+):
+    (south, west), (north, east) = bbox.min_, bbox.max_
+
+    _columns = ["group", "label", "geometry"]
+
+    # Query the earth table ()
+    # Stub this with notebook.json for now
+    df = pd.read_json("assets/notebook.json")
+    df["geometry"] = df.wkt.apply(parse_wkt)
+    gdf = gpd.GeoDataFrame(df, geometry="geometry")
+
+    gdf["group"] = None
+    # gdf.apply(
+    # lambda row: parse_osm_tags_to_group(json.loads(row.tags), row.geometry), axis=1
+    # )
+
+    gdf["label"] = None
+
+    filtered = gdf[pd.notnull(gdf.group)][_columns]
+
+    clipped = filtered.clip(mask=[west, south, east, north])
+
+    print(clipped)
+
+    return clipped
diff --git a/maploc/osm/raster.py b/maploc/osm/raster.py
index a055825..fd1e85e 100644
--- a/maploc/osm/raster.py
+++ b/maploc/osm/raster.py
@@ -4,7 +4,7 @@
 
 import cv2
 import numpy as np
-import torch
+#import torch
 
 from ..utils.geo import BoundaryBox
 from .data import MapArea, MapLine, MapNode
@@ -23,20 +23,20 @@ def clear(self):
         self.raster = np.zeros((self.h, self.w), np.uint8)
 
     def to_uv(self, xy: np.ndarray):
-        xy = self.bbox.normalize(xy)
-        xy[..., 1] = 1 - xy[..., 1]
-        s = self.scaling
-        if isinstance(xy, torch.Tensor):
-            s = torch.from_numpy(s).to(xy)
-        return xy * s - 0.5
+       xy = self.bbox.normalize(xy)
+       xy[..., 1] = 1 - xy[..., 1]
+       s = self.scaling
+#       if isinstance(xy, torch.Tensor):
+#            s = torch.from_numpy(s).to(xy)
+       return xy * s - 0.5
 
     def to_xy(self, uv: np.ndarray):
-        s = self.scaling
-        if isinstance(uv, torch.Tensor):
-            s = torch.from_numpy(s).to(uv)
-        xy = (uv + 0.5) / s
-        xy[..., 1] = 1 - xy[..., 1]
-        return self.bbox.unnormalize(xy)
+       s = self.scaling
+#       if isinstance(uv, torch.Tensor):
+#            s = torch.from_numpy(s).to(uv)
+       xy = (uv + 0.5) / s
+       xy[..., 1] = 1 - xy[..., 1]
+       return self.bbox.unnormalize(xy)
 
     def draw_polygon(self, xy: np.ndarray):
         uv = self.to_uv(xy)
diff --git a/maploc/osm/tiling.py b/maploc/osm/tiling.py
index 6ebb10d..7c7108b 100644
--- a/maploc/osm/tiling.py
+++ b/maploc/osm/tiling.py
@@ -11,7 +11,7 @@
 
 from ..utils.geo import BoundaryBox, Projection
 from .data import MapData
-from .download import get_osm
+from .download import earth_to_geodataframe, get_osm, vector_tiles_to_geodataframe
 from .parser import Groups
 from .raster import Canvas, render_raster_map, render_raster_masks
 from .reader import OSMData, OSMNode, OSMWay
@@ -92,17 +92,38 @@ def from_bbox(
         ppm: int,
         path: Optional[Path] = None,
         tile_size: int = 128,
+        source: str = "osm",
     ):
-        bbox_osm = projection.unproject(bbox)
-        if path is not None and path.is_file():
-            osm = OSMData.from_file(path)
-            if osm.box is not None:
-                assert osm.box.contains(bbox_osm)
-        else:
-            osm = OSMData.from_dict(get_osm(bbox_osm, path))
-
-        osm.add_xy_to_nodes(projection)
-        map_data = MapData.from_osm(osm)
+
+        assert source in {"osm", "vector-tiles", "earth"}
+
+        bbox_degrees = projection.unproject(bbox)
+
+        if source == "osm":
+            if path is not None and path.is_file():
+                osm = OSMData.from_file(path)
+            #            if osm.box is not None:
+            #                assert osm.box.contains(bbox_osm)
+            else:
+                osm = OSMData.from_dict(get_osm(bbox_degrees, path))
+
+            osm.add_xy_to_nodes(projection)
+            map_data = MapData.from_osm(osm)
+
+        elif source == "vector-tiles":
+            # Create OrienterNet Map Data from Vector Tiles and a GeoDataFrame
+            map_data = MapData.from_geodataframe(
+                gdf=vector_tiles_to_geodataframe(bbox=bbox_degrees),
+                projection=projection,
+            )
+
+        elif source == "earth":
+            # Create OrienterNet Map Data from earth table
+            map_data = MapData.from_geodataframe(
+                gdf=earth_to_geodataframe(bbox=bbox_degrees),
+                projection=projection,
+            )
+
         map_index = MapIndex(map_data)
 
         bounds_x, bounds_y = [
diff --git a/maploc/osm/viz.py b/maploc/osm/viz.py
index 70c97eb..8c2af38 100644
--- a/maploc/osm/viz.py
+++ b/maploc/osm/viz.py
@@ -85,24 +85,24 @@ def raster(self, raster, bbox, below="traces", **kwargs):
 
 
 map_colors = {
+    "building_outline": (0, 0, 255),
     "building": (84, 155, 255),
-    "parking": (255, 229, 145),
-    "playground": (150, 133, 125),
-    "grass": (188, 255, 143),
-    "park": (0, 158, 16),
-    "forest": (0, 92, 9),
-    "water": (184, 213, 255),
+    "busway": (255, 128, 0),
+    "cycleway": (0, 251, 255),
     "fence": (238, 0, 255),
-    "wall": (0, 0, 0),
+    "forest": (0, 92, 9),
+    "grass": (188, 255, 143),
     "hedge": (107, 68, 48),
     "kerb": (255, 234, 0),
-    "building_outline": (0, 0, 255),
-    "cycleway": (0, 251, 255),
+    "park": (0, 158, 16),
+    "parking": (255, 229, 145),
     "path": (8, 237, 0),
+    "playground": (150, 133, 125),
     "road": (255, 0, 0),
     "tree_row": (0, 92, 9),
-    "busway": (255, 128, 0),
     "void": [int(255 * 0.9)] * 3,
+    "wall": (0, 0, 0),
+    "water": (184, 213, 255),
 }
 
 
diff --git a/maploc/utils/geo.py b/maploc/utils/geo.py
index 7f97e50..60a17eb 100644
--- a/maploc/utils/geo.py
+++ b/maploc/utils/geo.py
@@ -3,7 +3,8 @@
 from typing import Union
 
 import numpy as np
-import torch
+
+# import torch
 
 from .geo_opensfm import TopocentricConverter
 
@@ -44,16 +45,16 @@ def contains(self, xy: Union[np.ndarray, "BoundaryBox"]):
 
     def normalize(self, xy):
         min_, max_ = self.min_, self.max_
-        if isinstance(xy, torch.Tensor):
-            min_ = torch.from_numpy(min_).to(xy)
-            max_ = torch.from_numpy(max_).to(xy)
+#       if isinstance(xy, torch.Tensor):
+#           min_ = torch.from_numpy(min_).to(xy)
+#           max_ = torch.from_numpy(max_).to(xy)
         return (xy - min_) / (max_ - min_)
 
     def unnormalize(self, xy):
         min_, max_ = self.min_, self.max_
-        if isinstance(xy, torch.Tensor):
-            min_ = torch.from_numpy(min_).to(xy)
-            max_ = torch.from_numpy(max_).to(xy)
+#        if isinstance(xy, torch.Tensor):
+#            min_ = torch.from_numpy(min_).to(xy)
+#            max_ = torch.from_numpy(max_).to(xy)
         return xy * (max_ - min_) + min_
 
     def format(self) -> str:
diff --git a/pandas-test.py b/pandas-test.py
new file mode 100644
index 0000000..dd0f476
--- /dev/null
+++ b/pandas-test.py
@@ -0,0 +1,95 @@
+from pathlib import Path
+from typing import Dict, Optional, Tuple
+
+import cv2
+import matplotlib.pyplot as plt
+import numpy as np
+from maploc.osm.tiling import TileManager
+from maploc.osm.viz import Colormap, GeoPlotter, plot_nodes
+from maploc.utils.exif import EXIF
+from maploc.utils.geo import BoundaryBox, Projection
+from maploc.utils.viz_2d import plot_images
+
+
+# Custom Overrides to avoid pytorch
+def parse_location_prior(
+    exif: EXIF,
+    prior_latlon: Optional[Tuple[float, float]] = None,
+    prior_address: Optional[str] = None,
+) -> np.ndarray:
+    latlon = None
+    if latlon is None:
+        geo = exif.extract_geo()
+        if geo:
+            alt = geo.get("altitude", 0)  # read if available
+            latlon = (geo["latitude"], geo["longitude"], alt)
+        else:
+            raise ValueError(
+                "No location prior given or found in the image EXIF metadata: "
+                "maybe provide the name of a street, building or neighborhood?"
+            )
+    return np.array(latlon)
+
+
+def read_input_image(
+    image_path: str,
+    prior_latlon: Optional[Tuple[float, float]] = None,
+    prior_address: Optional[str] = None,
+    focal_length: Optional[float] = None,
+    tile_size_meters: int = 64,
+) -> Tuple[np.ndarray, Tuple[str, str], Projection, BoundaryBox]:
+    image = read_image(image_path)
+    with open(image_path, "rb") as fid:
+        exif = EXIF(fid, lambda: image.shape[:2])
+        latlon = parse_location_prior(exif, prior_latlon, prior_address)
+        proj = Projection(*latlon)
+        center = proj.project(latlon)
+        bbox = BoundaryBox(center, center) + tile_size_meters
+        return image, None, proj, bbox
+
+
+def read_image(path, grayscale=False):
+    if grayscale:
+        mode = cv2.IMREAD_GRAYSCALE
+    else:
+        mode = cv2.IMREAD_COLOR
+    image = cv2.imread(str(path), mode)
+    if image is None:
+        raise ValueError(f"Cannot read image {path}.")
+    if not grayscale and len(image.shape) == 3:
+        image = np.ascontiguousarray(image[:, :, ::-1])  # BGR to RGB
+    return image
+
+
+# no EXIF data: provide a coarse location prior as address
+image_path = "assets/query_zurich_1.JPG"
+prior_address = "ETH CAB Zurich"
+
+# Try out these other queries!
+# image_path = "assets/query_vancouver_1.JPG"
+# prior_address = "Vancouver Waterfront Station"
+
+# image_path = "assets/query_vancouver_2.JPG"
+image_path = "assets/query_vancouver_3.JPG"
+# prior_address = None # here we load the location prior from the exif
+
+image, gravity, proj, bbox = read_input_image(
+    image_path,
+    tile_size_meters=128,  # try 64, 256, etc.
+)
+
+# Show the query area in an interactive map
+# plot = GeoPlotter(zoom=16)
+# plot.points(proj.latlonalt[:2], "red", name="location prior", size=10)
+# plot.bbox(proj.unproject(bbox), "blue", name="map tile")
+# plot.fig.show()
+
+bbox_degrees = proj.unproject(bbox)
+(south, west), (north, east) = bbox_degrees.min_, bbox_degrees.max_
+
+tiler2 = TileManager.from_bbox(proj, bbox + 10, ppm=2, source="vector-tiles")
+canvas2 = tiler2.query(bbox)
+
+print(len(tiler2.map_data.nodes))
+print(len(tiler2.map_data.lines))
+print(len(tiler2.map_data.areas))
diff --git a/test-vector-tile.py b/test-vector-tile.py
new file mode 100644
index 0000000..4c11100
--- /dev/null
+++ b/test-vector-tile.py
@@ -0,0 +1,124 @@
+from pathlib import Path
+from typing import Dict, Optional, Tuple
+
+import cv2
+import matplotlib.pyplot as plt
+import numpy as np
+from maploc.osm.tiling import TileManager
+from maploc.osm.viz import Colormap, GeoPlotter, plot_nodes
+from maploc.utils.exif import EXIF
+from maploc.utils.geo import BoundaryBox, Projection
+from maploc.utils.viz_2d import plot_images
+
+
+# Custom Overrides to avoid pytorch
+def parse_location_prior(
+    exif: EXIF,
+    prior_latlon: Optional[Tuple[float, float]] = None,
+    prior_address: Optional[str] = None,
+) -> np.ndarray:
+    latlon = None
+    if latlon is None:
+        geo = exif.extract_geo()
+        if geo:
+            alt = geo.get("altitude", 0)  # read if available
+            latlon = (geo["latitude"], geo["longitude"], alt)
+            # logger.info("Using prior location from EXIF.")
+        else:
+            raise ValueError(
+                "No location prior given or found in the image EXIF metadata: "
+                "maybe provide the name of a street, building or neighborhood?"
+            )
+    return np.array(latlon)
+
+
+def read_input_image(
+    image_path: str,
+    prior_latlon: Optional[Tuple[float, float]] = None,
+    prior_address: Optional[str] = None,
+    focal_length: Optional[float] = None,
+    tile_size_meters: int = 64,
+) -> Tuple[np.ndarray, Tuple[str, str], Projection, BoundaryBox]:
+    image = read_image(image_path)
+    with open(image_path, "rb") as fid:
+        exif = EXIF(fid, lambda: image.shape[:2])
+
+        # gravity, camera = self.calibrator.run(image, focal_length, exif)
+        # logger.info("Using (roll, pitch) %s.", gravity)
+        print(exif)
+
+        latlon = parse_location_prior(exif, prior_latlon, prior_address)
+        proj = Projection(*latlon)
+        center = proj.project(latlon)
+        bbox = BoundaryBox(center, center) + tile_size_meters
+        return image, None, proj, bbox
+
+
+def read_image(path, grayscale=False):
+    if grayscale:
+        mode = cv2.IMREAD_GRAYSCALE
+    else:
+        mode = cv2.IMREAD_COLOR
+    image = cv2.imread(str(path), mode)
+    if image is None:
+        raise ValueError(f"Cannot read image {path}.")
+    if not grayscale and len(image.shape) == 3:
+        image = np.ascontiguousarray(image[:, :, ::-1])  # BGR to RGB
+    return image
+
+    # no EXIF data: provide a coarse location prior as address
+
+
+image_path = "assets/query_zurich_1.JPG"
+prior_address = "ETH CAB Zurich"
+
+# Try out these other queries!
+# image_path = "assets/query_vancouver_1.JPG"
+# prior_address = "Vancouver Waterfront Station"
+
+# image_path = "assets/query_vancouver_2.JPG"
+image_path = "assets/query_vancouver_3.JPG"
+# prior_address = None # here we load the location prior from the exif
+
+image, gravity, proj, bbox = read_input_image(
+    image_path,
+    tile_size_meters=128,  # try 64, 256, etc.
+)
+
+# Show the query area in an interactive map
+# plot = GeoPlotter(zoom=16)
+# plot.points(proj.latlonalt[:2], "red", name="location prior", size=10)
+# plot.bbox(proj.unproject(bbox), "blue", name="map tile")
+# plot.fig.show()
+
+
+# Query OpenStreetMap for this area
+# tiler = TileManager.from_bbox(proj, bbox + 10, 2, Path("tscache.json"))
+# canvas = tiler.query(bbox)
+# map_viz = Colormap.apply(canvas.raster)
+# cv2.imwrite("t-osm.png", map_viz)
+
+# print(
+#     f"""
+#     Lines: {len(tiler.map_data.lines)}
+#     Areas: {len(tiler.map_data.areas)}
+#     Points: {len(tiler.map_data.nodes)}"""
+# )
+
+print("starting...")
+
+tiler2 = TileManager.from_bbox(proj, bbox + 10, 2, source='vector-tiles')
+
+print("done")
+canvas2 = tiler2.query(bbox)
+
+print(
+    f"""
+    Lines: {len(tiler2.map_data.lines)}
+    Areas: {len(tiler2.map_data.areas)}
+    Points: {len(tiler2.map_data.nodes)}"""
+)
+map_viz2 = Colormap.apply(canvas2.raster)
+cv2.imwrite("t-vector-tiles.png", map_viz2)
+
+# plot_images([image, map_viz], titles=["input image", "OpenStreetMap raster"])