{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Foraging toolkit demo - hungry foragers"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Outline\n",
    "* [Introduction](#introduction)\n",
    "* [Simulation](#simulation)\n",
    "* [Derived quantities](#derived-quantities)\n",
    "* [Inference](#inference)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Introduction"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this notebook we use the foraging toolkit to simulate agents that move toward food.\n",
    "\n",
    "_The users are advised to familiarize themselves with the [random_foragers.ipynb](./random_foragers.ipynb) demo, which contains detailed explanation of the various commands._\n",
    "\n",
    "The main reference is [1], in particular Fig.2.\n",
    "\n",
    "---\n",
    "\n",
    "[1] R. Urbaniak, M. Xie, and E. Mackevicius, “Linking cognitive strategy, neural mechanism, and movement statistics in group foraging behaviors,” Sci Rep, vol. 14, no. 1, p. 21770, Sep. 2024, [doi: 10.1038/s41598-024-71931-0.](https://www.nature.com/articles/s41598-024-71931-0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# importing packages. See https://github.com/BasisResearch/collab-creatures for repo setup\n",
    "import logging\n",
    "import os\n",
    "import random\n",
    "import time\n",
    "\n",
    "import dill\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import plotly.io as pio\n",
    "\n",
    "pio.renderers.default = \"notebook\"\n",
    "\n",
    "\n",
    "import collab.foraging.toolkit as ft\n",
    "from collab.foraging import random_hungry_followers as rhf\n",
    "\n",
    "logging.basicConfig(format=\"%(message)s\", level=logging.INFO)\n",
    "\n",
    "# users can ignore smoke_test -- it's for automatic testing on GitHub,\n",
    "# to make sure the notebook runs on future updates to the repository\n",
    "smoke_test = \"CI\" in os.environ\n",
    "num_frames = 5 if smoke_test else 50\n",
    "num_svi_iters = 10 if smoke_test else 1000\n",
    "num_samples = 10 if smoke_test else 1000\n",
    "\n",
    "notebook_starts = time.time()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Simulation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Compared with the random agents simulation in `random_foragers.ipynb`, we'll  use more frames, and a larger gridworld environment. The simulation might take a bit longer, so we'll save it for future use.\n",
    "\n",
    "**Simulation of hungry foragers**\n",
    "\n",
    "Note that rewards have impact on agents' positions and therefore reward and trace updates are required at every step.\n",
    "\n",
    "- **Initialization**\n",
    "    - Initialize the grid with a specified grid size\n",
    "    - Randomly place `num_rewards` rewards on the grid.\n",
    "    - Normalize the probabilities for forager step size\n",
    "\n",
    "- **Forward Simulation**\n",
    "    - For each frame:\n",
    "        - Remove any reward from the frame onwards if a forager is next to it\n",
    "        - Compute food traces, i.e. additive scores for points in space-time, with exponential decay and maximum at 1 located at reward locations\n",
    "        - For each forager:\n",
    "            - Compute visibility for points in forager's range\n",
    "            - Sort visible points by their current accumulated trace score\n",
    "            - Move forager to a random position from the top 10 from the ranking above"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2024-10-28 14:01:03,751 - Generating frame 10/50 \n",
      "2024-10-28 14:01:12,834 - Generating frame 20/50 \n",
      "2024-10-28 14:01:20,240 - Generating frame 30/50 \n",
      "2024-10-28 14:01:25,688 - Generating frame 40/50 \n"
     ]
    }
   ],
   "source": [
    "random.seed(23)\n",
    "np.random.seed(23)\n",
    "\n",
    "# serialize hungry_sim using dill, as this simulation takes a bit of time\n",
    "# if hungry sim not in folder, generate, otherwise load\n",
    "always_generate = False\n",
    "\n",
    "sim_file = os.path.join(\"sim_data\", \"hungry_sim.dill\")\n",
    "\n",
    "if not os.path.exists(sim_file) or always_generate:\n",
    "\n",
    "    # create a new empty simulation (a starting point for the actual simulation)\n",
    "    hungry_sim = rhf.Foragers(\n",
    "        grid_size=60,\n",
    "        num_foragers=3,\n",
    "        num_frames=num_frames,\n",
    "        num_rewards=60,\n",
    "        grab_range=3,\n",
    "    )\n",
    "\n",
    "    hungry_sim()  # run the simulation: this places the rewards on the grid\n",
    "\n",
    "    # add hungry foragers and run simulation forward\n",
    "    hungry_sim = rhf.add_hungry_foragers(\n",
    "        hungry_sim, num_hungry_foragers=3, rewards_decay=0.3, visibility_range=6\n",
    "    )\n",
    "\n",
    "    with open(sim_file, \"wb\") as f:\n",
    "        dill.dump(hungry_sim, f)\n",
    "\n",
    "else:\n",
    "    print(\"Loading existing simulation results\")\n",
    "    with open(sim_file, \"rb\") as f:\n",
    "        hungry_sim = dill.load(f)\n",
    "\n",
    "# display(hungry_sim.foragersDF)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ft.plot_trajectories(hungry_sim.foragersDF, \"Hungry Foragers\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We will use the `animate_foragers` function with `plot_traces=True` to show the values of the food traces at every grid point and each frame."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "        <script type=\"text/javascript\">\n",
       "        window.PlotlyConfig = {MathJaxConfig: 'local'};\n",
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F=e.borderwidth,B=e.borderpad,N=F+B,j=R.append(\"rect\").attr(\"class\",\"bg\").style(\"stroke-width\",F+\"px\").call(u.stroke,e.bordercolor).call(u.fill,e.bgcolor),U=e.width||e.height,V=w._topclips.selectAll(\"#\"+L).data(U?[0]:[]);V.enter().append(\"clipPath\").classed(\"annclip\",!0).attr(\"id\",L).append(\"rect\"),V.exit().remove();var H=e.font,q=w._meta?o.templateString(e.text,w._meta):e.text,G=R.append(\"text\").classed(\"annotation-text\",!0).text(q);k.annotationText?G.call(h.makeEditable,{delegate:R,gd:t}).call(Y).on(\"edit\",(function(r){e.text=r,this.call(Y),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(Y)}else n.selectAll(\"#\"+L).remove();function Z(t){var n={index:r,annotation:e._input,fullAnnotation:e,event:t};return a&&(n.subplotId=a),n}function Y(r){return 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kt,At=function(r,n){O.selectAll(\".annotation-arrow-g\").remove();var l=C.x.head,f=C.y.head,h=C.x.tail+r,p=C.y.tail+n,v=C.x.text+r,b=C.y.text+n,_=o.rotationXYMatrix(P,v,b),w=o.apply2DTransform(_),A=o.apply2DTransform2(_),L=+j.attr(\"width\"),D=+j.attr(\"height\"),z=v-.5*L,F=z+L,B=b-.5*D,N=B+D,U=[[z,B,z,N],[z,N,F,N],[F,N,F,B],[F,B,z,B]].map(A);if(!U.reduce((function(t,e){return t^!!o.segmentsIntersect(l,f,l+1e6,f+1e6,e[0],e[1],e[2],e[3])}),!1)){U.forEach((function(t){var e=o.segmentsIntersect(h,p,l,f,t[0],t[1],t[2],t[3]);e&&(h=e.x,p=e.y)}));var V=e.arrowwidth,H=e.arrowcolor,q=e.arrowside,G=O.append(\"g\").style({opacity:u.opacity(H)}).classed(\"annotation-arrow-g\",!0),Z=G.append(\"path\").attr(\"d\",\"M\"+h+\",\"+p+\"L\"+l+\",\"+f).style(\"stroke-width\",V+\"px\").call(u.stroke,u.rgb(H));if(g(Z,q,e),k.annotationPosition&&Z.node().parentNode&&!a){var Y=l,W=f;if(e.standoff){var X=Math.sqrt(Math.pow(l-h,2)+Math.pow(f-p,2));Y+=e.standoff*(h-l)/X,W+=e.standoff*(p-f)/X}var J,K,$=G.append(\"path\").classed(\"annotation-arrow\",!0).classed(\"anndrag\",!0).classed(\"cursor-move\",!0).attr({d:\"M3,3H-3V-3H3ZM0,0L\"+(h-Y)+\",\"+(p-W),transform:s(Y,W)}).style(\"stroke-width\",V+6+\"px\").call(u.stroke,\"rgba(0,0,0,0)\").call(u.fill,\"rgba(0,0,0,0)\");d.init({element:$.node(),gd:t,prepFn:function(){var t=c.getTranslate(R);J=t.x,K=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,K),i=n[0]+t,a=n[1]+r;R.call(c.setTranslate,i,a),S(\"x\",m(y,t,\"x\",T,e)),S(\"y\",m(x,r,\"y\",T,e)),e.axref===e.xref&&S(\"ax\",m(y,t,\"ax\",T,e)),e.ayref===e.yref&&S(\"ay\",m(x,r,\"ay\",T,e)),G.attr(\"transform\",s(t,r)),I.attr({transform:\"rotate(\"+P+\",\"+i+\",\"+a+\")\"})},doneFn:function(){i.call(\"_guiRelayout\",t,E());var 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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}},13011:function(t,e,r){\"use strict\";var n=r(39898),i=r(7901),a=r(82884),o=r(71828),s=o.strScale,l=o.strRotate,u=o.strTranslate;t.exports=function(t,e,r){var o,c,f,h,p=t.node(),d=a[r.arrowhead||0],v=a[r.startarrowhead||0],g=(r.arrowwidth||1)*(r.arrowsize||1),y=(r.arrowwidth||1)*(r.startarrowsize||1),m=e.indexOf(\"start\")>=0,x=e.indexOf(\"end\")>=0,b=d.backoff*g+r.standoff,_=v.backoff*y+r.startstandoff;if(\"line\"===p.nodeName){o={x:+t.attr(\"x1\"),y:+t.attr(\"y1\")},c={x:+t.attr(\"x2\"),y:+t.attr(\"y2\")};var w=o.x-c.x,T=o.y-c.y;if(h=(f=Math.atan2(T,w))+Math.PI,b&&_&&b+_>Math.sqrt(w*w+T*T))return void D();if(b){if(b*b>w*w+T*T)return void D();var k=b*Math.cos(f),A=b*Math.sin(f);c.x+=k,c.y+=A,t.attr({x2:c.x,y2:c.y})}if(_){if(_*_>w*w+T*T)return void D();var 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n=r(92605),i=r(44317);t.exports={moduleType:\"component\",name:\"annotations\",layoutAttributes:r(50215),supplyLayoutDefaults:r(84046),includeBasePlot:r(76325)(\"annotations\"),calcAutorange:r(3749),draw:n.draw,drawOne:n.drawOne,drawRaw:n.drawRaw,hasClickToShow:i.hasClickToShow,onClick:i.onClick,convertCoords:r(94128)}},26997:function(t,e,r){\"use strict\";var n=r(50215),i=r(30962).overrideAll,a=r(44467).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\")},5485:function(t,e,r){\"use strict\";var n=r(71828),i=r(89298);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()}},20226:function(t,e,r){\"use strict\";var n=r(71828),i=r(89298),a=r(85501),o=r(25625),s=r(26997);function l(t,e,r,a){function l(r,i){return n.coerce(t,e,s,r,i)}function u(t){var n=t+\"axis\",a={_fullLayout:{}};return a._fullLayout[n]=r[n],i.coercePosition(e,a,l,t,t,.5)}l(\"visible\")&&(o(t,e,a.fullLayout,l),u(\"x\"),u(\"y\"),u(\"z\"),n.noneOrAll(t,e,[\"x\",\"y\",\"z\"]),e.xref=\"x\",e.yref=\"y\",e.zref=\"z\",l(\"xanchor\"),l(\"yanchor\"),l(\"xshift\"),l(\"yshift\"),e.showarrow&&(e.axref=\"pixel\",e.ayref=\"pixel\",l(\"ax\",-10),l(\"ay\",-30),n.noneOrAll(t,e,[\"ax\",\"ay\"])))}t.exports=function(t,e,r){a(t,e,{name:\"annotations\",handleItemDefaults:l,fullLayout:r.fullLayout})}},82188:function(t,e,r){\"use strict\";var n=r(92605).drawRaw,i=r(63538),a=[\"x\",\"y\",\"z\"];t.exports=function(t){for(var e=t.fullSceneLayout,r=t.dataScale,o=e.annotations,s=0;s<o.length;s++){for(var l=o[s],u=!1,c=0;c<3;c++){var f=a[c],h=l[f],p=e[f+\"axis\"].r2fraction(h);if(p<0||p>1){u=!0;break}}u?t.fullLayout._infolayer.select(\".annotation-\"+t.id+'[data-index=\"'+s+'\"]').remove():(l._pdata=i(t.glplot.cameraParams,[e.xaxis.r2l(l.x)*r[0],e.yaxis.r2l(l.y)*r[1],e.zaxis.r2l(l.z)*r[2]]),n(t.graphDiv,l,s,t.id,l._xa,l._ya))}}},2468:function(t,e,r){\"use strict\";var n=r(73972),i=r(71828);t.exports={moduleType:\"component\",name:\"annotations3d\",schema:{subplots:{scene:{annotations:r(26997)}}},layoutAttributes:r(26997),handleDefaults:r(20226),includeBasePlot:function(t,e){var r=n.subplotsRegistry.gl3d;if(r)for(var a=r.attrRegex,o=Object.keys(t),s=0;s<o.length;s++){var l=o[s];a.test(l)&&(t[l].annotations||[]).length&&(i.pushUnique(e._basePlotModules,r),i.pushUnique(e._subplots.gl3d,l))}},convert:r(5485),draw:r(82188)}},7561:function(t,e,r){\"use 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n=l(t*f*.8,2),i=l(.8*t,2),a=l(1.6*t,2),o=l(4*t,2),s=\"A \"+o+\",\"+o+\" 0 0 1 \";return g(e,r,\"M-\"+n+\",\"+i+s+n+\",\"+i+s+\"0,-\"+a+s+\"-\"+n+\",\"+i+\"Z\")}},\"star-triangle-down\":{n:20,f:function(t,e,r){if(v(e))return u;var n=l(t*f*.8,2),i=l(.8*t,2),a=l(1.6*t,2),o=l(4*t,2),s=\"A \"+o+\",\"+o+\" 0 0 1 \";return g(e,r,\"M\"+n+\",-\"+i+s+\"-\"+n+\",-\"+i+s+\"0,\"+a+s+n+\",-\"+i+\"Z\")}},\"star-square\":{n:21,f:function(t,e,r){if(v(e))return u;var n=l(1.1*t,2),i=l(2*t,2),a=\"A \"+i+\",\"+i+\" 0 0 1 \";return g(e,r,\"M-\"+n+\",-\"+n+a+\"-\"+n+\",\"+n+a+n+\",\"+n+a+n+\",-\"+n+a+\"-\"+n+\",-\"+n+\"Z\")}},\"star-diamond\":{n:22,f:function(t,e,r){if(v(e))return u;var n=l(1.4*t,2),i=l(1.9*t,2),a=\"A \"+i+\",\"+i+\" 0 0 1 \";return g(e,r,\"M-\"+n+\",0\"+a+\"0,\"+n+a+n+\",0\"+a+\"0,-\"+n+a+\"-\"+n+\",0Z\")}},\"diamond-tall\":{n:23,f:function(t,e,r){if(v(e))return u;var n=l(.7*t,2),i=l(1.4*t,2);return g(e,r,\"M0,\"+i+\"L\"+n+\",0L0,-\"+i+\"L-\"+n+\",0Z\")}},\"diamond-wide\":{n:24,f:function(t,e,r){if(v(e))return u;var n=l(1.4*t,2),i=l(.7*t,2);return g(e,r,\"M0,\"+i+\"L\"+n+\",0L0,-\"+i+\"L-\"+n+\",0Z\")}},hourglass:{n:25,f:function(t,e,r){if(v(e))return u;var n=l(t,2);return g(e,r,\"M\"+n+\",\"+n+\"H-\"+n+\"L\"+n+\",-\"+n+\"H-\"+n+\"Z\")},noDot:!0},bowtie:{n:26,f:function(t,e,r){if(v(e))return u;var n=l(t,2);return g(e,r,\"M\"+n+\",\"+n+\"V-\"+n+\"L-\"+n+\",\"+n+\"V-\"+n+\"Z\")},noDot:!0},\"circle-cross\":{n:27,f:function(t,e,r){if(v(e))return u;var n=l(t,2);return g(e,r,\"M0,\"+n+\"V-\"+n+\"M\"+n+\",0H-\"+n+\"M\"+n+\",0A\"+n+\",\"+n+\" 0 1,1 0,-\"+n+\"A\"+n+\",\"+n+\" 0 0,1 \"+n+\",0Z\")},needLine:!0,noDot:!0},\"circle-x\":{n:28,f:function(t,e,r){if(v(e))return u;var n=l(t,2),i=l(t/c,2);return g(e,r,\"M\"+i+\",\"+i+\"L-\"+i+\",-\"+i+\"M\"+i+\",-\"+i+\"L-\"+i+\",\"+i+\"M\"+n+\",0A\"+n+\",\"+n+\" 0 1,1 0,-\"+n+\"A\"+n+\",\"+n+\" 0 0,1 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ot,st,lt,ut,ct=d.select(\"g.legend\"),ft=H(r,ct.node()),ht=ft.width+2*S,pt=ft.height+2*S,dt=W[0],vt=(dt.x0+dt.x1)/2,gt=(dt.y0+dt.y1)/2,yt=!(g.traceIs(dt.trace,\"bar-like\")||g.traceIs(dt.trace,\"box-violin\"));\"y\"===P?yt?(st=gt-S,ot=gt+S):(st=Math.min.apply(null,W.map((function(t){return Math.min(t.y0,t.y1)}))),ot=Math.max.apply(null,W.map((function(t){return Math.max(t.y0,t.y1)})))):st=ot=o.mean(W.map((function(t){return(t.y0+t.y1)/2})))-pt/2,\"x\"===P?yt?(lt=vt+S,ut=vt-S):(lt=Math.max.apply(null,W.map((function(t){return Math.max(t.x0,t.x1)}))),ut=Math.min.apply(null,W.map((function(t){return Math.min(t.x0,t.x1)})))):lt=ut=o.mean(W.map((function(t){return(t.x0+t.x1)/2})))-ht/2;var mt,xt,bt=E._offset,_t=L._offset;return ut+=bt-ht,st+=_t-pt,mt=(lt+=bt)+ht<B&&lt>=0?lt:ut+ht<B&&ut>=0?ut:bt+ht<B?bt:lt-vt<vt-ut+ht?B-ht:0,mt+=S,xt=(ot+=_t)+pt<N&&ot>=0?ot:st+pt<N&&st>=0?st:_t+pt<N?_t:ot-gt<gt-st+pt?N-pt:0,xt+=S,ct.attr(\"transform\",s(mt-1,xt-1)),ct}var wt=d.selectAll(\"g.hovertext\").data(t,(function(t){return C(t)}));return wt.enter().append(\"g\").classed(\"hovertext\",!0).each((function(){var t=n.select(this);t.append(\"rect\").call(p.fill,p.addOpacity(f,.8)),t.append(\"text\").classed(\"name\",!0),t.append(\"path\").style(\"stroke-width\",\"1px\"),t.append(\"text\").classed(\"nums\",!0).call(h.font,T,k)})),wt.exit().remove(),wt.each((function(t){var e=n.select(this).attr(\"transform\",\"\"),o=t.color;Array.isArray(o)&&(o=o[t.eventData[0].pointNumber]);var d=t.bgcolor||o,v=p.combine(p.opacity(d)?d:p.defaultLine,f),g=p.combine(p.opacity(o)?o:p.defaultLine,f),y=t.borderColor||p.contrast(v),m=I(t,j,a,i,D,e),x=m[0],b=m[1],w=e.select(\"text.nums\").call(h.font,t.fontFamily||T,t.fontSize||k,t.fontColor||y).text(x).attr(\"data-notex\",1).call(c.positionText,0,0).call(c.convertToTspans,r),A=e.select(\"text.name\"),E=0,L=0;if(b&&b!==x){A.call(h.font,t.fontFamily||T,t.fontSize||k,g).text(b).attr(\"data-notex\",1).call(c.positionText,0,0).call(c.convertToTspans,r);var C=H(r,A.node());E=C.width+2*S,L=C.height+2*S}else A.remove(),e.select(\"rect\").remove();e.select(\"path\").style({fill:v,stroke:y});var P=t.xa._offset+(t.x0+t.x1)/2,O=t.ya._offset+(t.y0+t.y1)/2,z=Math.abs(t.x1-t.x0),R=Math.abs(t.y1-t.y0),U=H(r,w.node()),V=U.width/i._invScaleX,q=U.height/i._invScaleY;t.ty0=(F-U.top)/i._invScaleY,t.bx=V+2*S,t.by=Math.max(q+2*S,L),t.anchor=\"start\",t.txwidth=V,t.tx2width=E,t.offset=0;var 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n,i,o=r.container,s=r.fullLayout,l=s._size,u=r.event,c=!!e.hLinePoint,f=!!e.vLinePoint;if(o.selectAll(\".spikeline\").remove(),f||c){var d=p.combine(s.plot_bgcolor,s.paper_bgcolor);if(c){var g,y,m=e.hLinePoint;n=m&&m.xa,\"cursor\"===(i=m&&m.ya).spikesnap?(g=u.pointerX,y=u.pointerY):(g=n._offset+m.x,y=i._offset+m.y);var x,b,_=a.readability(m.color,d)<1.5?p.contrast(d):m.color,w=i.spikemode,T=i.spikethickness,k=i.spikecolor||_,A=v.getPxPosition(t,i);if(-1!==w.indexOf(\"toaxis\")||-1!==w.indexOf(\"across\")){if(-1!==w.indexOf(\"toaxis\")&&(x=A,b=g),-1!==w.indexOf(\"across\")){var 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n=r(85555),i=r(44467).templatedArray;r(24695),t.exports=i(\"image\",{visible:{valType:\"boolean\",dflt:!0,editType:\"arraydraw\"},source:{valType:\"string\",editType:\"arraydraw\"},layer:{valType:\"enumerated\",values:[\"below\",\"above\"],dflt:\"above\",editType:\"arraydraw\"},sizex:{valType:\"number\",dflt:0,editType:\"arraydraw\"},sizey:{valType:\"number\",dflt:0,editType:\"arraydraw\"},sizing:{valType:\"enumerated\",values:[\"fill\",\"contain\",\"stretch\"],dflt:\"contain\",editType:\"arraydraw\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,editType:\"arraydraw\"},x:{valType:\"any\",dflt:0,editType:\"arraydraw\"},y:{valType:\"any\",dflt:0,editType:\"arraydraw\"},xanchor:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],dflt:\"left\",editType:\"arraydraw\"},yanchor:{valType:\"enumerated\",values:[\"top\",\"middle\",\"bottom\"],dflt:\"top\",editType:\"arraydraw\"},xref:{valType:\"enumerated\",values:[\"paper\",n.idRegex.x.toString()],dflt:\"paper\",editType:\"arraydraw\"},yref:{valType:\"enumerated\",values:[\"paper\",n.idRegex.y.toString()],dflt:\"paper\",editType:\"arraydraw\"},editType:\"arraydraw\"})},75378:function(t,e,r){\"use 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b=Object.keys(l._plots);for(r=0;r<b.length;r++){e=b[r];var _=l._plots[e];if(_.imagelayer){var w=_.imagelayer.selectAll(\"image\").data(c[e]||[]);w.enter().append(\"image\"),w.exit().remove(),w.each((function(t){g.bind(this)(t),y.bind(this)(t)}))}}}},68804:function(t,e,r){\"use strict\";t.exports={moduleType:\"component\",name:\"images\",layoutAttributes:r(69819),supplyLayoutDefaults:r(81603),includeBasePlot:r(76325)(\"images\"),draw:r(80750),convertCoords:r(75378)}},33030:function(t,e,r){\"use strict\";var n=r(41940),i=r(22399);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\"},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 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u(t,\"Pan\")},attr:\"dragmode\",val:\"pan\",icon:o.pan,click:f},c.select2d={name:\"select2d\",_cat:\"select\",title:function(t){return u(t,\"Box Select\")},attr:\"dragmode\",val:\"select\",icon:o.selectbox,click:f},c.lasso2d={name:\"lasso2d\",_cat:\"lasso\",title:function(t){return u(t,\"Lasso Select\")},attr:\"dragmode\",val:\"lasso\",icon:o.lasso,click:f},c.drawclosedpath={name:\"drawclosedpath\",title:function(t){return u(t,\"Draw closed freeform\")},attr:\"dragmode\",val:\"drawclosedpath\",icon:o.drawclosedpath,click:f},c.drawopenpath={name:\"drawopenpath\",title:function(t){return u(t,\"Draw open freeform\")},attr:\"dragmode\",val:\"drawopenpath\",icon:o.drawopenpath,click:f},c.drawline={name:\"drawline\",title:function(t){return u(t,\"Draw line\")},attr:\"dragmode\",val:\"drawline\",icon:o.drawline,click:f},c.drawrect={name:\"drawrect\",title:function(t){return u(t,\"Draw rectangle\")},attr:\"dragmode\",val:\"drawrect\",icon:o.drawrect,click:f},c.drawcircle={name:\"drawcircle\",title:function(t){return u(t,\"Draw circle\")},attr:\"dragmode\",val:\"drawcircle\",icon:o.drawcircle,click:f},c.eraseshape={name:\"eraseshape\",title:function(t){return u(t,\"Erase active shape\")},icon:o.eraseshape,click:s},c.zoomIn2d={name:\"zoomIn2d\",_cat:\"zoomin\",title:function(t){return u(t,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:o.zoom_plus,click:f},c.zoomOut2d={name:\"zoomOut2d\",_cat:\"zoomout\",title:function(t){return u(t,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:o.zoom_minus,click:f},c.autoScale2d={name:\"autoScale2d\",_cat:\"autoscale\",title:function(t){return u(t,\"Autoscale\")},attr:\"zoom\",val:\"auto\",icon:o.autoscale,click:f},c.resetScale2d={name:\"resetScale2d\",_cat:\"resetscale\",title:function(t){return u(t,\"Reset axes\")},attr:\"zoom\",val:\"reset\",icon:o.home,click:f},c.hoverClosestCartesian={name:\"hoverClosestCartesian\",_cat:\"hoverclosest\",title:function(t){return u(t,\"Show closest data on hover\")},attr:\"hovermode\",val:\"closest\",icon:o.tooltip_basic,gravity:\"ne\",click:f},c.hoverCompareCartesian={name:\"hoverCompareCartesian\",_cat:\"hoverCompare\",title:function(t){return u(t,\"Compare data on hover\")},attr:\"hovermode\",val:function(t){return t._fullLayout._isHoriz?\"y\":\"x\"},icon:o.tooltip_compare,gravity:\"ne\",click:f},c.zoom3d={name:\"zoom3d\",_cat:\"zoom\",title:function(t){return u(t,\"Zoom\")},attr:\"scene.dragmode\",val:\"zoom\",icon:o.zoombox,click:h},c.pan3d={name:\"pan3d\",_cat:\"pan\",title:function(t){return u(t,\"Pan\")},attr:\"scene.dragmode\",val:\"pan\",icon:o.pan,click:h},c.orbitRotation={name:\"orbitRotation\",title:function(t){return u(t,\"Orbital rotation\")},attr:\"scene.dragmode\",val:\"orbit\",icon:o[\"3d_rotate\"],click:h},c.tableRotation={name:\"tableRotation\",title:function(t){return u(t,\"Turntable rotation\")},attr:\"scene.dragmode\",val:\"turntable\",icon:o[\"z-axis\"],click:h},c.resetCameraDefault3d={name:\"resetCameraDefault3d\",_cat:\"resetCameraDefault\",title:function(t){return u(t,\"Reset camera to default\")},attr:\"resetDefault\",icon:o.home,click:p},c.resetCameraLastSave3d={name:\"resetCameraLastSave3d\",_cat:\"resetCameraLastSave\",title:function(t){return u(t,\"Reset camera to last save\")},attr:\"resetLastSave\",icon:o.movie,click:p},c.hoverClosest3d={name:\"hoverClosest3d\",_cat:\"hoverclosest\",title:function(t){return u(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:function(t,e){var r=d(t,e);n.call(\"_guiRelayout\",t,r)}},c.zoomInGeo={name:\"zoomInGeo\",_cat:\"zoomin\",title:function(t){return u(t,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:o.zoom_plus,click:v},c.zoomOutGeo={name:\"zoomOutGeo\",_cat:\"zoomout\",title:function(t){return u(t,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:o.zoom_minus,click:v},c.resetGeo={name:\"resetGeo\",_cat:\"reset\",title:function(t){return u(t,\"Reset\")},attr:\"reset\",val:null,icon:o.autoscale,click:v},c.hoverClosestGeo={name:\"hoverClosestGeo\",_cat:\"hoverclosest\",title:function(t){return u(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:y},c.hoverClosestGl2d={name:\"hoverClosestGl2d\",_cat:\"hoverclosest\",title:function(t){return u(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:y},c.hoverClosestPie={name:\"hoverClosestPie\",_cat:\"hoverclosest\",title:function(t){return u(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:\"closest\",icon:o.tooltip_basic,gravity:\"ne\",click:y},c.resetViewSankey={name:\"resetSankeyGroup\",title:function(t){return u(t,\"Reset view\")},icon:o.home,click:function(t){for(var e={\"node.groups\":[],\"node.x\":[],\"node.y\":[]},r=0;r<t._fullData.length;r++){var i=t._fullData[r]._viewInitial;e[\"node.groups\"].push(i.node.groups.slice()),e[\"node.x\"].push(i.node.x.slice()),e[\"node.y\"].push(i.node.y.slice())}n.call(\"restyle\",t,e)}},c.toggleHover={name:\"toggleHover\",title:function(t){return u(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:function(t,e){var r=d(t,e);r.hovermode=g(t),n.call(\"_guiRelayout\",t,r)}},c.resetViews={name:\"resetViews\",title:function(t){return u(t,\"Reset views\")},icon:o.home,click:function(t,e){var r=e.currentTarget;r.setAttribute(\"data-attr\",\"zoom\"),r.setAttribute(\"data-val\",\"reset\"),f(t,e),r.setAttribute(\"data-attr\",\"resetLastSave\"),p(t,e),x(t,\"geo\"),x(t,\"mapbox\")}},c.toggleSpikelines={name:\"toggleSpikelines\",title:function(t){return u(t,\"Toggle Spike Lines\")},icon:o.spikeline,attr:\"_cartesianSpikesEnabled\",val:\"on\",click:function(t){var e=t._fullLayout,r=e._cartesianSpikesEnabled;e._cartesianSpikesEnabled=\"on\"===r?\"off\":\"on\",n.call(\"_guiRelayout\",t,function(t){for(var e=\"on\"===t._fullLayout._cartesianSpikesEnabled,r=a.list(t,null,!0),n={},i=0;i<r.length;i++){var o=r[i];n[o._name+\".showspikes\"]=!!e||o._showSpikeInitial}return n}(t))}},c.resetViewMapbox={name:\"resetViewMapbox\",_cat:\"resetView\",title:function(t){return u(t,\"Reset view\")},attr:\"reset\",icon:o.home,click:function(t){x(t,\"mapbox\")}},c.zoomInMapbox={name:\"zoomInMapbox\",_cat:\"zoomin\",title:function(t){return u(t,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:o.zoom_plus,click:m},c.zoomOutMapbox={name:\"zoomOutMapbox\",_cat:\"zoomout\",title:function(t){return u(t,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:o.zoom_minus,click:m}},93348:function(t,e,r){\"use strict\";var n=r(26023),i=Object.keys(n),a=[\"drawline\",\"drawopenpath\",\"drawclosedpath\",\"drawcircle\",\"drawrect\",\"eraseshape\"],o=[\"v1hovermode\",\"hoverclosest\",\"hovercompare\",\"togglehover\",\"togglespikelines\"].concat(a),s=[];i.forEach((function(t){!function(t){if(-1===o.indexOf(t._cat||t.name)){var e=t.name,r=(t._cat||t.name).toLowerCase();-1===s.indexOf(e)&&s.push(e),-1===s.indexOf(r)&&s.push(r)}}(n[t])})),s.sort(),t.exports={DRAW_MODES:a,backButtons:o,foreButtons:s}},35750:function(t,e,r){\"use strict\";var n=r(71828),i=r(7901),a=r(44467),o=r(42068);t.exports=function(t,e){var r=t.modebar||{},s=a.newContainer(e,\"modebar\");function l(t,e){return n.coerce(r,s,o,t,e)}l(\"orientation\"),l(\"bgcolor\",i.addOpacity(e.paper_bgcolor,.5));var u=i.contrast(i.rgb(e.modebar.bgcolor));l(\"color\",i.addOpacity(u,.3)),l(\"activecolor\",i.addOpacity(u,.7)),l(\"uirevision\",e.uirevision),l(\"add\"),l(\"remove\")}},64168:function(t,e,r){\"use strict\";t.exports={moduleType:\"component\",name:\"modebar\",layoutAttributes:r(42068),supplyLayoutDefaults:r(35750),manage:r(14192)}},14192:function(t,e,r){\"use strict\";var n=r(41675),i=r(34098),a=r(73972),o=r(23469).isUnifiedHover,s=r(37676),l=r(26023),u=r(93348).DRAW_MODES,c=r(71828).extendDeep;t.exports=function(t){var e=t._fullLayout,r=t._context,f=e._modeBar;if(r.displayModeBar||r.watermark){if(!Array.isArray(r.modeBarButtonsToRemove))throw new Error([\"*modeBarButtonsToRemove* configuration options\",\"must be an array.\"].join(\" \"));if(!Array.isArray(r.modeBarButtonsToAdd))throw new Error([\"*modeBarButtonsToAdd* configuration options\",\"must be an array.\"].join(\" \"));var h,p=r.modeBarButtons;h=Array.isArray(p)&&p.length?function(t){for(var e=c([],t),r=0;r<e.length;r++)for(var n=e[r],i=0;i<n.length;i++){var a=n[i];if(\"string\"==typeof a){if(void 0===l[a])throw new Error([\"*modeBarButtons* configuration options\",\"invalid button name\"].join(\" \"));e[r][i]=l[a]}}return e}(p):!r.displayModeBar&&r.watermark?[]:function(t){var e=t._fullLayout,r=t._fullData,s=t._context;function c(t,e){if(\"string\"==typeof e){if(e.toLowerCase()===t.toLowerCase())return!0}else{var r=e.name,n=e._cat||e.name;if(r===t||n===t.toLowerCase())return!0}return!1}var f=e.modebar.add;\"string\"==typeof f&&(f=[f]);var h=e.modebar.remove;\"string\"==typeof h&&(h=[h]);var p=s.modeBarButtonsToAdd.concat(f.filter((function(t){for(var e=0;e<s.modeBarButtonsToRemove.length;e++)if(c(t,s.modeBarButtonsToRemove[e]))return!1;return!0}))),d=s.modeBarButtonsToRemove.concat(h.filter((function(t){for(var e=0;e<s.modeBarButtonsToAdd.length;e++)if(c(t,s.modeBarButtonsToAdd[e]))return!1;return!0}))),v=e._has(\"cartesian\"),g=e._has(\"gl3d\"),y=e._has(\"geo\"),m=e._has(\"pie\"),x=e._has(\"funnelarea\"),b=e._has(\"gl2d\"),_=e._has(\"ternary\"),w=e._has(\"mapbox\"),T=e._has(\"polar\"),k=e._has(\"smith\"),A=e._has(\"sankey\"),M=function(t){for(var e=n.list({_fullLayout:t},null,!0),r=0;r<e.length;r++)if(!e[r].fixedrange)return!1;return!0}(e),S=o(e.hovermode),E=[];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,u=0;u<d.length;u++){var c=d[u].toLowerCase();if(c===a||c===o){s=!0;break}}s||e.push(l[n])}E.push(e)}}var C=[\"toImage\"];s.showEditInChartStudio?C.push(\"editInChartStudio\"):s.showSendToCloud&&C.push(\"sendDataToCloud\"),L(C);var P=[],O=[],I=[],D=[];(v||b||m||x||_)+y+g+w+T+k>1?(O=[\"toggleHover\"],I=[\"resetViews\"]):y?(P=[\"zoomInGeo\",\"zoomOutGeo\"],O=[\"hoverClosestGeo\"],I=[\"resetGeo\"]):g?(O=[\"hoverClosest3d\"],I=[\"resetCameraDefault3d\",\"resetCameraLastSave3d\"]):w?(P=[\"zoomInMapbox\",\"zoomOutMapbox\"],O=[\"toggleHover\"],I=[\"resetViewMapbox\"]):b?O=[\"hoverClosestGl2d\"]:m?O=[\"hoverClosestPie\"]:A?(O=[\"hoverClosestCartesian\",\"hoverCompareCartesian\"],I=[\"resetViewSankey\"]):O=[\"toggleHover\"],v&&(O=[\"toggleSpikelines\",\"hoverClosestCartesian\",\"hoverCompareCartesian\"]),(function(t){for(var e=0;e<t.length;e++)if(!a.traceIs(t[e],\"noHover\"))return!1;return!0}(r)||S)&&(O=[]),!v&&!b||M||(P=[\"zoomIn2d\",\"zoomOut2d\",\"autoScale2d\"],\"resetViews\"!==I[0]&&(I=[\"resetScale2d\"])),g?D=[\"zoom3d\",\"pan3d\",\"orbitRotation\",\"tableRotation\"]:(v||b)&&!M||_?D=[\"zoom2d\",\"pan2d\"]:w||y?D=[\"pan2d\"]:T&&(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 z=[],R=function(t){-1===z.indexOf(t)&&-1!==O.indexOf(t)&&z.push(t)};if(Array.isArray(p)){for(var F=[],B=0;B<p.length;B++){var N=p[B];\"string\"==typeof N?(N=N.toLowerCase(),-1!==u.indexOf(N)?(e._has(\"mapbox\")||e._has(\"cartesian\"))&&D.push(N):\"togglespikelines\"===N?R(\"toggleSpikelines\"):\"togglehover\"===N?R(\"toggleHover\"):\"hovercompare\"===N?R(\"hoverCompareCartesian\"):\"hoverclosest\"===N?(R(\"hoverClosestCartesian\"),R(\"hoverClosestGeo\"),R(\"hoverClosest3d\"),R(\"hoverClosestGl2d\"),R(\"hoverClosestPie\")):\"v1hovermode\"===N&&(R(\"toggleHover\"),R(\"hoverClosestCartesian\"),R(\"hoverCompareCartesian\"),R(\"hoverClosestGeo\"),R(\"hoverClosest3d\"),R(\"hoverClosestGl2d\"),R(\"hoverClosestPie\"))):F.push(N)}p=F}return L(D),L(P.concat(I)),L(z),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}(E,p)}(t),f?f.update(t,h):e._modeBar=s(t,h)}else f&&(f.destroy(),delete e._modeBar)}},37676:function(t,e,r){\"use strict\";var n=r(39898),i=r(92770),a=r(71828),o=r(24255),s=r(11506).version,l=new DOMParser;function u(t){this.container=t.container,this.element=document.createElement(\"div\"),this.update(t.graphInfo,t.buttons),this.container.appendChild(this.element)}var c=u.prototype;c.update=function(t,e){this.graphInfo=t;var r=this.graphInfo._context,n=this.graphInfo._fullLayout,i=\"modebar-\"+n._uid;this.element.setAttribute(\"id\",i),this._uid=i,this.element.className=\"modebar\",\"hover\"===r.displayModeBar&&(this.element.className+=\" modebar--hover ease-bg\"),\"v\"===n.modebar.orientation&&(this.element.className+=\" vertical\",e=e.reverse());var o=n.modebar,s=\"hover\"===r.displayModeBar?\".js-plotly-plot .plotly:hover \":\"\";a.deleteRelatedStyleRule(i),a.addRelatedStyleRule(i,s+\"#\"+i+\" .modebar-group\",\"background-color: \"+o.bgcolor),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn .icon path\",\"fill: \"+o.color),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn:hover .icon path\",\"fill: \"+o.activecolor),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn.active .icon path\",\"fill: \"+o.activecolor);var l=!this.hasButtons(e),u=this.hasLogo!==r.displaylogo,c=this.locale!==r.locale;if(this.locale=r.locale,(l||u||c)&&(this.removeAllButtons(),this.updateButtons(e),r.watermark||r.displaylogo)){var f=this.getLogo();r.watermark&&(f.className=f.className+\" watermark\"),\"v\"===n.modebar.orientation?this.element.insertBefore(f,this.element.childNodes[0]):this.element.appendChild(f),this.hasLogo=!0}this.updateActiveButton()},c.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)}))},c.createGroup=function(){var t=document.createElement(\"div\");return t.className=\"modebar-group\",t},c.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},c.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},c.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 u=null===o?o:a.nestedProperty(e,o).get();l.classed(\"active\",u===i)}}))},c.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},c.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 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n=r(41940),i=r(22399),a=(0,r(44467).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\"}},89573:function(t){\"use 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n=r(32485),i=r(3937);t.exports={moduleType:\"component\",name:\"selections\",layoutAttributes:r(8389),supplyLayoutDefaults:r(59402),supplyDrawNewSelectionDefaults:r(90849),includeBasePlot:r(76325)(\"selections\"),draw:n.draw,drawOne:n.drawOne,reselect:i.reselect,prepSelect:i.prepSelect,clearOutline:i.clearOutline,clearSelectionsCache:i.clearSelectionsCache,selectOnClick:i.selectOnClick}},3937:function(t,e,r){\"use strict\";var n=r(52142),i=r(38258),a=r(73972),o=r(91424).dashStyle,s=r(7901),l=r(30211),u=r(23469).makeEventData,c=r(64505),f=c.freeMode,h=c.rectMode,p=c.drawMode,d=c.openMode,v=c.selectMode,g=r(30477),y=r(21459),m=r(42359),x=r(51873).clearOutline,b=r(60165),_=b.handleEllipse,w=b.readPaths,T=r(90551).newShapes,k=r(35855),A=r(32485).activateLastSelection,M=r(71828),S=M.sorterAsc,E=r(61082),L=r(79990),C=r(41675).getFromId,P=r(33306),O=r(61549).redrawReglTraces,I=r(34122),D=I.MINSELECT,z=E.filter,R=E.tester,F=r(75549),B=F.p2r,N=F.axValue,j=F.getTransform;function U(t){return 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s=A.selections[o];s.xref!==t||s.yref!==e?n.push(r[o]):i=!0}i&&(k._fullLayout._noEmitSelectedAtStart=!0,a.call(\"_guiRelayout\",k,{selections:n}))}});var Lt=function(t){return t.plotinfo.fillRangeItems||ct(t.xaxes.concat(t.yaxes))}(n);n.moveFn=function(t,e){n._clearSubplotSelections&&(n._clearSubplotSelections(),n._clearSubplotSelections=void 0),lt=Math.max(0,Math.min(yt,ot*t+F)),pt=Math.max(0,Math.min(mt,st*e+B));var r=Math.abs(lt-F),i=Math.abs(pt-B);if(g){var a,o,s;if(b){var l=A.selectdirection;switch(a=\"any\"===l?i<Math.min(.6*r,D)?\"h\":r<Math.min(.6*i,D)?\"v\":\"d\":l){case\"h\":o=w?mt/2:0,s=mt;break;case\"v\":o=w?yt/2:0,s=yt}}if(x)switch(A.newshape.drawdirection){case\"vertical\":a=\"h\",o=w?mt/2:0,s=mt;break;case\"horizontal\":a=\"v\",o=w?yt/2:0,s=yt;break;case\"ortho\":r<i?(a=\"h\",o=B,s=pt):(a=\"v\",o=F,s=lt);break;default:a=\"d\"}\"h\"===a?((J=T?_(w,[lt,o],[lt,s]):[[F,o],[F,s],[lt,s],[lt,o]]).xmin=T?lt:Math.min(F,lt),J.xmax=T?lt:Math.max(F,lt),J.ymin=Math.min(o,s),J.ymax=Math.max(o,s),kt.attr(\"d\",\"M\"+J.xmin+\",\"+(B-D)+\"h-4v\"+2*D+\"h4ZM\"+(J.xmax-1)+\",\"+(B-D)+\"h4v\"+2*D+\"h-4Z\")):\"v\"===a?((J=T?_(w,[o,pt],[s,pt]):[[o,B],[o,pt],[s,pt],[s,B]]).xmin=Math.min(o,s),J.xmax=Math.max(o,s),J.ymin=T?pt:Math.min(B,pt),J.ymax=T?pt:Math.max(B,pt),kt.attr(\"d\",\"M\"+(F-D)+\",\"+J.ymin+\"v-4h\"+2*D+\"v4ZM\"+(F-D)+\",\"+(J.ymax-1)+\"v4h\"+2*D+\"v-4Z\")):\"d\"===a&&((J=T?_(w,[F,B],[lt,pt]):[[F,B],[F,pt],[lt,pt],[lt,B]]).xmin=Math.min(F,lt),J.xmax=Math.max(F,lt),J.ymin=Math.min(B,pt),J.ymax=Math.max(B,pt),kt.attr(\"d\",\"M0,0Z\"))}else 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s=[],u=k._fullLayout.selections,c=0;c<u.length;c++){var f=u[c];f&&(f.xref===i._id&&f.yref===o._id||s.push(f))}s.length<u.length&&(k._fullLayout._noEmitSelectedAtStart=!0,a.call(\"_guiRelayout\",k,{selections:s}))}}}else r.indexOf(\"select\")>-1&&V(e,k,n.xaxes,n.yaxes,n.subplot,n,bt),\"event\"===r&&ft(k,void 0);l.click(k,e,P.id)})).catch(M.error)}},n.doneFn=function(){kt.remove(),L.done(Mt).then((function(){L.clear(Mt),!S&&J&&n.selectionDefs&&(J.subtract=xt,n.selectionDefs.push(J),n.mergedPolygons.length=0,[].push.apply(n.mergedPolygons,W)),(S||x)&&Y(n,S),n.doneFnCompleted&&n.doneFnCompleted(St),b&&ft(k,at)})).catch(M.error)}},clearOutline:x,clearSelectionsCache:Y,selectOnClick:V}},89827:function(t,e,r){\"use strict\";var n=r(50215),i=r(41940),a=r(82196).line,o=r(79952).P,s=r(1426).extendFlat,l=r(44467).templatedArray,u=(r(24695),r(9012)),c=r(5386).R,f=r(37281);t.exports=l(\"shape\",{visible:s({},u.visible,{editType:\"calc+arraydraw\"}),showlegend:{valType:\"boolean\",dflt:!1,editType:\"calc+arraydraw\"},legend:s({},u.legend,{editType:\"calc+arraydraw\"}),legendgroup:s({},u.legendgroup,{editType:\"calc+arraydraw\"}),legendgrouptitle:{text:s({},u.legendgrouptitle.text,{editType:\"calc+arraydraw\"}),font:i({editType:\"calc+arraydraw\"}),editType:\"calc+arraydraw\"},legendrank:s({},u.legendrank,{editType:\"calc+arraydraw\"}),legendwidth:s({},u.legendwidth,{editType:\"calc+arraydraw\"}),type:{valType:\"enumerated\",values:[\"circle\",\"rect\",\"path\",\"line\"],editType:\"calc+arraydraw\"},layer:{valType:\"enumerated\",values:[\"below\",\"above\"],dflt:\"above\",editType:\"arraydraw\"},xref:s({},n.xref,{}),xsizemode:{valType:\"enumerated\",values:[\"scaled\",\"pixel\"],dflt:\"scaled\",editType:\"calc+arraydraw\"},xanchor:{valType:\"any\",editType:\"calc+arraydraw\"},x0:{valType:\"any\",editType:\"calc+arraydraw\"},x1:{valType:\"any\",editType:\"calc+arraydraw\"},yref:s({},n.yref,{}),ysizemode:{valType:\"enumerated\",values:[\"scaled\",\"pixel\"],dflt:\"scaled\",editType:\"calc+arraydraw\"},yanchor:{valType:\"any\",editType:\"calc+arraydraw\"},y0:{valType:\"any\",editType:\"calc+arraydraw\"},y1:{valType:\"any\",editType:\"calc+arraydraw\"},path:{valType:\"string\",editType:\"calc+arraydraw\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,editType:\"arraydraw\"},line:{color:s({},a.color,{editType:\"arraydraw\"}),width:s({},a.width,{editType:\"calc+arraydraw\"}),dash:s({},o,{editType:\"arraydraw\"}),editType:\"calc+arraydraw\"},fillcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"arraydraw\"},fillrule:{valType:\"enumerated\",values:[\"evenodd\",\"nonzero\"],dflt:\"evenodd\",editType:\"arraydraw\"},editable:{valType:\"boolean\",dflt:!1,editType:\"calc+arraydraw\"},label:{text:{valType:\"string\",dflt:\"\",editType:\"arraydraw\"},texttemplate:c({},{keys:Object.keys(f)}),font:i({editType:\"calc+arraydraw\",colorEditType:\"arraydraw\"}),textposition:{valType:\"enumerated\",values:[\"top 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n=r(7901),i=r(71828);t.exports=function(t,e,r){if(r(\"newshape.visible\"),r(\"newshape.name\"),r(\"newshape.showlegend\"),r(\"newshape.legend\"),r(\"newshape.legendwidth\"),r(\"newshape.legendgroup\"),r(\"newshape.legendgrouptitle.text\"),i.coerceFont(r,\"newshape.legendgrouptitle.font\"),r(\"newshape.legendrank\"),r(\"newshape.drawdirection\"),r(\"newshape.layer\"),r(\"newshape.fillcolor\"),r(\"newshape.fillrule\"),r(\"newshape.opacity\"),r(\"newshape.line.width\")){var a=(t||{}).plot_bgcolor||\"#FFF\";r(\"newshape.line.color\",n.contrast(a)),r(\"newshape.line.dash\")}var o=\"drawline\"===t.dragmode,s=r(\"newshape.label.text\"),l=r(\"newshape.label.texttemplate\");if(s||l){r(\"newshape.label.textangle\");var u=r(\"newshape.label.textposition\",o?\"middle\":\"middle center\");r(\"newshape.label.xanchor\"),r(\"newshape.label.yanchor\",function(t,e){return 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p=2*h*Math.PI/a;f.push([s+u*Math.cos(p),l+c*Math.sin(p)])}return f},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,u=((r-=s)+i)/2;return{x0:l-(a*=o),y0:u-(s*=o),x1:l+a,y1:u+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}},90551:function(t,e,r){\"use strict\";var n=r(64505),i=n.drawMode,a=n.openMode,o=r(89995),s=o.i000,l=o.i090,u=o.i180,c=o.i270,f=o.cos45,h=o.sin45,p=r(75549),d=p.p2r,v=p.r2p,g=r(51873).clearOutline,y=r(60165),m=y.readPaths,x=y.writePaths,b=y.ellipseOver,_=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=m(p,o,y,w),L={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||(L.fillcolor=g.fillcolor,L.fillrule=g.fillrule),1===E.length&&(n=E[0]),n&&5===n.length&&\"drawrect\"===r)L.type=\"rect\",L.x0=n[0][1],L.y0=n[0][2],L.x1=n[2][1],L.y1=n[2][2];else if(n&&\"drawline\"===r)L.type=\"line\",L.x0=n[0][1],L.y0=n[0][2],L.x1=n[1][1],L.y1=n[1][2];else if(n&&\"drawcircle\"===r){L.type=\"circle\";var C=n[s][1],P=n[l][1],O=n[u][1],I=n[c][1],D=n[s][2],z=n[l][2],R=n[u][2],F=n[c][2],B=y.xaxis&&(\"date\"===y.xaxis.type||\"log\"===y.xaxis.type),N=y.yaxis&&(\"date\"===y.yaxis.type||\"log\"===y.yaxis.type);B&&(C=v(y.xaxis,C),P=v(y.xaxis,P),O=v(y.xaxis,O),I=v(y.xaxis,I)),N&&(D=v(y.yaxis,D),z=v(y.yaxis,z),R=v(y.yaxis,R),F=v(y.yaxis,F));var j=(P+I)/2,U=(D+R)/2,V=b({x0:j,y0:U,x1:j+(I-P+O-C)/2*f,y1:U+(F-z+R-D)/2*h});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)),L.x0=V.x0,L.y0=V.y0,L.x1=V.x1,L.y1=V.y1}else L.type=\"path\",T&&k&&_(E,T,k),L.path=x(E),n=null;return L}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 u=w(t,e,a);g(r);for(var c=e.editHelpers,f=(c||{}).modifyItem,h=[],p=0;p<o.length;p++){var d=r._fullLayout.shapes[p];if(h[p]=d._input,void 0!==n&&p===r._fullLayout._activeShapeIndex){var v=u;switch(d.type){case\"line\":case\"rect\":case\"circle\":f(\"x0\",v.x0),f(\"x1\",v.x1),f(\"y0\",v.y0),f(\"y1\",v.y1);break;case\"path\":f(\"path\",v.path)}}}return void 0===n?(h.push(u),h):c?c.getUpdateObj():{}}},createShapeObj:w}},51873: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}}},30477:function(t,e,r){\"use strict\";var n=r(21459),i=r(71828),a=r(89298);e.rangeToShapePosition=function(t){return\"log\"===t.type?t.r2d:function(t){return 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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)}))}}},23243:function(t,e,r){\"use strict\";var n=r(98292);t.exports={moduleType:\"component\",name:n.name,layoutAttributes:r(75067),supplyLayoutDefaults:r(12343),draw:r(44504)}},92998:function(t,e,r){\"use strict\";var n=r(39898),i=r(92770),a=r(74875),o=r(73972),s=r(71828),l=s.strTranslate,u=r(91424),c=r(7901),f=r(63893),h=r(37822),p=r(18783).OPPOSITE_SIDE,d=/ [XY][0-9]* /;t.exports={draw:function(t,e,r){var v,g=r.propContainer,y=r.propName,m=r.placeholder,x=r.traceIndex,b=r.avoid||{},_=r.attributes,w=r.transform,T=r.containerGroup,k=t._fullLayout,A=1,M=!1,S=g.title,E=(S&&S.text?S.text:\"\").trim(),L=S&&S.font?S.font:{},C=L.family,P=L.size,O=L.color;\"title.text\"===y?v=\"titleText\":-1!==y.indexOf(\"axis\")?v=\"axisTitleText\":y.indexOf(!0)&&(v=\"colorbarTitleText\");var I=t._context.edits[v];\"\"===E?A=0:E.replace(d,\" % \")===m.replace(d,\" % 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y(t,e,r,a,o){r||(r=e).attr(\"pointer-events\",\"all\");var l=function(t){return-1==+t.attr(f.menuIndexAttrName)}(r)&&\"buttons\"!==o.type?[]:o.buttons,u=\"dropdown\"===o.type?f.dropdownButtonClassName:f.buttonClassName,c=r.selectAll(\"g.\"+u).data(s.filterVisible(l)),h=c.enter().append(\"g\").classed(u,!0),p=c.exit();\"dropdown\"===o.type?(h.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+f.gapButtonHeader:d=y.headerWidth+f.gapButtonHeader),\"dropdown\"===o.type&&\"up\"===o.direction&&(g=-f.gapButtonHeader+f.gapButton-y.openHeight),\"dropdown\"===o.type&&\"left\"===o.direction&&(d=-f.gapButtonHeader+f.gapButton-y.openWidth);var b={x:y.lx+d+o.pad.l,y:y.ly+g+o.pad.t,yPad:f.gapButton,xPad:f.gapButton,index:0},k={l:b.x+o.borderwidth,t:b.y+o.borderwidth};c.each((function(s,l){var 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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 m(t,e,r,n){t.call(x,e).call(b,e,r,n)}function x(t,e){s.ensureSingle(t,\"rect\",f.itemRectClassName,(function(t){t.attr({rx:f.rx,ry:f.ry,\"shape-rendering\":\"crispEdges\"})})).call(a.stroke,e.bordercolor).call(a.fill,e.bgcolor).style(\"stroke-width\",e.borderwidth+\"px\")}function b(t,e,r,n){var i=s.ensureSingle(t,\"text\",f.itemTextClassName,(function(t){t.attr({\"text-anchor\":\"start\",\"data-notex\":1})})),a=r.label,u=n._fullLayout._meta;u&&(a=s.templateString(a,u)),i.call(o.font,e.font).text(a).call(l.convertToTspans,n)}function _(t,e){var r=e.active;t.each((function(t,i){var o=n.select(this);i===r&&e.showactive&&o.select(\"rect.\"+f.itemRectClassName).call(a.fill,f.activeColor)}))}function w(t){t.select(\"rect.\"+f.itemRectClassName).call(a.fill,f.hoverColor)}function T(t,e){t.select(\"rect.\"+f.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.\"+f.dropdownButtonClassName).data(s.filterVisible(e.buttons));a.enter().append(\"g\").classed(f.dropdownButtonClassName,!0);var u=-1!==[\"up\",\"down\"].indexOf(e.direction);a.each((function(i,a){var s=n.select(this);s.call(m,e,i,t);var 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i=\"title.automargin\",s=t._fullLayout.title,l=s.y>.5?\"t\":\"b\",u={x:s.x,y:s.y,t:0,b:0},c={};\"paper\"===s.yref&&function(t,e,r,n,i){var a=\"paper\"===e.yref?t._fullLayout._size.h:t._fullLayout.height,s=o.isTopAnchor(e)?n:n-i,l=\"b\"===r?a-s:s;return!(o.isTopAnchor(e)&&\"t\"===r||o.isBottomAnchor(e)&&\"b\"===r)&&l<i}(t,s,l,e,n)?u[l]=r:\"container\"===s.yref&&(c[l]=r,t._fullLayout._reservedMargin[i]=c),a.allowAutoMargin(t,i),a.autoMargin(t,i,u)}(t,h,y,g),v.attr({x:p,y:h,\"text-anchor\":l,dy:(e=r.yanchor,\"top\"===e?d.CAP_SHIFT+.3+\"em\":\"bottom\"===e?\"-0.3em\":d.MID_SHIFT+\"em\")}).call(s.positionText,p,h))}},e.doTraceStyle=function(t){var r,n=t.calcdata,o=[];for(r=0;r<n.length;r++){var s=n[r],u=s[0]||{},c=u.trace||{},f=c._module||{},h=f.arraysToCalcdata;h&&h(s,c);var p=f.editStyle;p&&o.push({fn:p,cd0:u})}if(o.length){for(r=0;r<o.length;r++){var d=o[r];d.fn(t,d.cd0)}l(t),e.redrawReglTraces(t)}return 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w=e._offset-r.top;w>0&&(n.yt=1,n.t=w)}n[y]=\"free\"===e.anchor?e.position:e._anchorAxis.domain[v[0]],e.title.text!==d._dfltTitle[g]&&(n[l]+=At(e)+(e.title.standoff||0)),e.mirror&&\"free\"!==e.anchor&&((i={x:0,y:0,r:0,l:0,t:0,b:0})[u]=e.linewidth,e.mirror&&!0!==e.mirror&&(i[u]+=f),!0===e.mirror||\"ticks\"===e.mirror?i[y]=e._anchorAxis.domain[v[1]]:\"all\"!==e.mirror&&\"allticks\"!==e.mirror||(i[y]=[e._counterDomainMin,e._counterDomainMax][v[1]]))}lt&&(s=o.getComponentMethod(\"rangeslider\",\"autoMarginOpts\")(t,e)),\"string\"==typeof e.automargin&&(_t(n,e.automargin),_t(i,e.automargin)),a.autoMargin(t,Et(e),n),a.autoMargin(t,Lt(e),i),a.autoMargin(t,Ct(e),s)})),s.syncOrAsync(ot)}}function ut(t){var r=v+(t||\"tick\");return M[r]||(M[r]=function(t,e){var r,n,i,a;return t._selections[e].size()?(r=1/0,n=-1/0,i=1/0,a=-1/0,t._selections[e].each((function(){var 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b,_=n.letter,w=n.font||{},T=n.splomStash||{},k=r(\"visible\",!n.visibleDflt),A=e._template||{},M=e.type||A.type||\"-\";\"date\"===M&&(i.getComponentMethod(\"calendars\",\"handleDefaults\")(t,e,\"calendar\",n.calendar),n.noTicklabelmode||(b=r(\"ticklabelmode\")));var S=\"\";n.noTicklabelposition&&\"multicategory\"!==M||(S=a.coerce(t,e,{ticklabelposition:{valType:\"enumerated\",dflt:\"outside\",values:\"period\"===b?[\"outside\",\"inside\"]:\"x\"===_?[\"outside\",\"inside\",\"outside left\",\"inside left\",\"outside right\",\"inside right\"]:[\"outside\",\"inside\",\"outside top\",\"inside top\",\"outside bottom\",\"inside bottom\"]}},\"ticklabelposition\")),n.noTicklabeloverflow||r(\"ticklabeloverflow\",-1!==S.indexOf(\"inside\")?\"hide past domain\":\"category\"===M||\"multicategory\"===M?\"allow\":\"hide past div\"),g(e,m),v(t,e,r,n),p(t,e,r,n),\"category\"===M||n.noHover||r(\"hoverformat\");var E=r(\"color\"),L=E!==l.color.dflt?E:w.color,C=T.label||m._dfltTitle[_];if(h(t,e,r,M,n),!k)return e;r(\"title.text\",C),a.coerceFont(r,\"title.font\",{family:w.family,size:a.bigFont(w.size),color:L}),u(t,e,r,M);var P=n.hasMinor;if(P&&(o.newContainer(e,\"minor\"),u(t,e,r,M,{isMinor:!0})),f(t,e,r,M,n),c(t,e,r,n),P){var O=n.isMinor;n.isMinor=!0,c(t,e,r,n),n.isMinor=O}d(t,e,r,{dfltColor:E,bgColor:n.bgColor,showGrid:n.showGrid,hasMinor:P,attributes:l}),!P||e.minor.ticks||e.minor.showgrid||delete e.minor,(e.showline||e.ticks)&&r(\"mirror\");var I,D=\"multicategory\"===M;if(n.noTickson||\"category\"!==M&&!D||!e.ticks&&!e.showgrid||(D&&(I=\"boundaries\"),\"boundaries\"===r(\"tickson\",I)&&delete e.ticklabelposition),D&&r(\"showdividers\")&&(r(\"dividercolor\"),r(\"dividerwidth\")),\"date\"===M)if(s(t,e,{name:\"rangebreaks\",inclusionAttr:\"enabled\",handleItemDefaults:x}),e.rangebreaks.length){for(var z=0;z<e.rangebreaks.length;z++)if(e.rangebreaks[z].pattern===y){e._hasDayOfWeekBreaks=!0;break}if(g(e,m),m._has(\"scattergl\")||m._has(\"splom\"))for(var R=0;R<n.data.length;R++){var F=n.data[R];\"scattergl\"!==F.type&&\"splom\"!==F.type||(F.visible=!1,a.warn(F.type+\" traces do not work on axes with rangebreaks. Setting trace \"+F.index+\" to `visible: false`.\"))}}else delete e.rangebreaks;return e};var b={sun:1,mon:2,tue:3,wed:4,thu:5,fri:6,sat:7};function _(t){if(\"string\"==typeof t)return b[t.substr(0,3).toLowerCase()]}},12663:function(t,e,r){\"use strict\";var n=r(31562),i=n.FORMAT_LINK,a=n.DATE_FORMAT_LINK;function o(t,e){return[\"Sets the \"+t+\" formatting rule\"+(e?\"for `\"+e+\"` \":\"\"),\"using d3 formatting mini-languages\",\"which are very similar to those in Python. For numbers, see: \"+i+\".\"].join(\" \")}function s(t,e){return o(t,e)+[\" And for dates see: \"+a+\".\",\"We add two items to d3's date formatter:\",\"*%h* for half of the year as a decimal number as well as\",\"*%{n}f* for fractional seconds\",\"with n digits. 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a=Pt.dragmode,s=t._fullLayout.dragmode;s!==a&&(Pt.dragmode=s),mt(),pt=t._fullLayout._invScaleX,dt=t._fullLayout._invScaleY,ot||(gt?e.shiftKey?\"pan\"===s?s=\"zoom\":m(s)||(s=\"pan\"):e.ctrlKey&&(s=\"pan\"):s=\"pan\"),x(s)?Pt.minDrag=1:Pt.minDrag=void 0,m(s)?(Pt.xaxes=J,Pt.yaxes=K,A(e,r,n,Pt,s)):(Pt.clickFn=It,m(a)&&Ot(),ot||(\"zoom\"===s?(Pt.moveFn=Dt,Pt.doneFn=Rt,Pt.minDrag=1,function(e,r,n){var a=bt.getBoundingClientRect();_t=r-a.left,wt=n-a.top,t._fullLayout._calcInverseTransform(t);var s=i.apply3DTransform(t._fullLayout._invTransform)(_t,wt);_t=s[0],wt=s[1],Tt={l:_t,r:_t,w:0,t:wt,b:wt,h:0},kt=t._hmpixcount?t._hmlumcount/t._hmpixcount:o(t._fullLayout.plot_bgcolor).getLuminance(),Mt=!1,St=\"xy\",Ct=!1,Et=N(vt,kt,$,Q,At=\"M0,0H\"+tt+\"V\"+et+\"H0V0\"),Lt=j(vt,$,Q)}(0,r,n)):\"pan\"===s&&(Pt.moveFn=Ut,Pt.doneFn=Gt))),t._fullLayout._redrag=function(){var e=t._dragdata;if(e&&e.element===bt){var r=t._fullLayout.dragmode;m(r)||(mt(),Zt([0,0,tt,et]),Pt.moveFn(e.dx,e.dy))}}},g.init(Pt);var 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a=r[i],o=a._id,s=nt.xLinks[o]||nt.yLinks[o],l=n[0]||V[s]||X[s];l&&(e?(e[a._name+\".range[0]\"]=e[l._name+\".range[0]\"],e[a._name+\".range[1]\"]=e[l._name+\".range[1]\"]):a.range=l.range.slice())}}function Ht(){var r,n=[];function i(t){for(r=0;r<t.length;r++)t[r].fixedrange||n.push(t[r]._id)}function a(t,e){for(r=0;r<t.length;r++){var i=t[r],a=i[e];i.fixedrange||\"sync\"!==a.tickmode||n.push(a._id)}}for(st&&(i(J),i(rt.xaxes),i(nt.xaxes),a(e.overlays,\"xaxis\")),lt&&(i(K),i(rt.yaxes),i(nt.yaxes),a(e.overlays,\"yaxis\")),ht={},r=0;r<n.length;r++){var o=n[r],s=k(t,o);d.drawOne(t,s,{skipTitle:!0}),ht[s._name+\".range[0]\"]=s.range[0],ht[s._name+\".range[1]\"]=s.range[1]}d.redrawComponents(t,n)}function qt(){if(!t._transitioningWithDuration){var e=t._context.doubleClick,r=[];it&&(r=r.concat(J)),at&&(r=r.concat(K)),nt.xaxes&&(r=r.concat(nt.xaxes)),nt.yaxes&&(r=r.concat(nt.yaxes));var n,i,a={};if(\"reset+autosize\"===e)for(e=\"autosize\",i=0;i<r.length;i++){var 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Gt(){Zt([0,0,tt,et]),i.syncOrAsync([T.previousPromises,function(){t._fullLayout._replotting=!1,l.call(\"_guiRelayout\",t,ht)}],t)}function Zt(e){var r,n,a,o,s=t._fullLayout,u=s._plots,c=s._subplots.cartesian;if(ct&&l.subplotsRegistry.splom.drag(t),ut)for(r=0;r<c.length;r++)if(a=(n=u[c[r]]).xaxis,o=n.yaxis,n._scene){var f=i.simpleMap(a.range,a.r2l),p=i.simpleMap(o.range,o.r2l);a.limitRange&&a.limitRange(),o.limitRange&&o.limitRange(),f=a.range,p=o.range,n._scene.update({range:[f[0],p[0],f[1],p[1]]})}if((ct||ut)&&(_(t),w(t)),ft){var d=e[2]/O._length,g=e[3]/I._length;for(r=0;r<c.length;r++){a=(n=u[c[r]]).xaxis,o=n.yaxis;var m,x,b,T,k=(st||nt.isSubplotConstrained)&&!a.fixedrange&&V[a._id],A=(lt||nt.isSubplotConstrained)&&!o.fixedrange&&X[o._id];if(k?(m=d,b=y||nt.isSubplotConstrained?e[0]:Xt(a,m)):nt.xaHash[a._id]?(m=d,b=e[0]*a._length/O._length):nt.yaHash[a._id]?(m=g,b=\"ns\"===at?-e[1]*a._length/I._length:Xt(a,m,{n:\"top\",s:\"bottom\"}[at])):b=Wt(a,m=Yt(a,d,g)),m>1&&(void 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t.fixedrange?0:st&&rt.xaHash[t._id]?e:lt&&(rt.isSubplotConstrained?rt.xaHash:rt.yaHash)[t._id]?r:0}function Wt(t,e){return e?(t.range=t._r.slice(),E(t,e),Xt(t,e)):0}function Xt(t,e,r){return t._length*(1-e)*b[r||t.constraintoward||\"middle\"]}return v.length*y.length!=1&&Y(bt,(function(e){if(t._context._scrollZoom.cartesian||t._fullLayout._enablescrollzoom){if(Ot(),t._transitioningWithDuration)return e.preventDefault(),void e.stopPropagation();mt(),clearTimeout(Bt);var r=-e.deltaY;if(isFinite(r)||(r=e.wheelDelta/10),isFinite(r)){var n,a=Math.exp(-Math.min(Math.max(r,-20),20)/200),o=jt.draglayer.select(\".nsewdrag\").node().getBoundingClientRect(),s=(e.clientX-o.left)/o.width,l=(o.bottom-e.clientY)/o.height;if(st){for(y||(s=.5),n=0;n<J.length;n++)u(J[n],s,a);Vt(\"x\"),Ft[2]*=a,Ft[0]+=Ft[2]*s*(1/a-1)}if(lt){for(v||(l=.5),n=0;n<K.length;n++)u(K[n],l,a);Vt(\"y\"),Ft[3]*=a,Ft[1]+=Ft[3]*(1-l)*(1/a-1)}Zt(Ft),Ht(),t.emit(\"plotly_relayouting\",ht),Bt=setTimeout((function(){t._fullLayout&&(Ft=[0,0,tt,et],Gt())}),Nt),e.preventDefault()}else i.log(\"Did not find wheel motion attributes: \",e)}function u(t,e,r){if(!t.fixedrange){var n=i.simpleMap(t.range,t.r2l),a=n[0]+(n[1]-n[0])*e;t.range=n.map((function(e){return t.l2r(a+(e-a)*r)}))}}})),bt},makeDragger:I,makeRectDragger:D,makeZoombox:N,makeCorners:j,updateZoombox:U,xyCorners:G,transitionZoombox:V,removeZoombox:H,showDoubleClickNotifier:q,attachWheelEventHandler:Y}},4305:function(t,e,r){\"use strict\";var n=r(39898),i=r(30211),a=r(28569),o=r(6964),s=r(29323).makeDragBox,l=r(85555).DRAGGERSIZE;e.initInteractions=function(t){var r=t._fullLayout;if(t._context.staticPlot)n.select(t).selectAll(\".drag\").remove();else if(r._has(\"cartesian\")||r._has(\"splom\")){Object.keys(r._plots||{}).sort((function(t,e){if((r._plots[t].mainplot&&!0)===(r._plots[e].mainplot&&!0)){var n=t.split(\"y\"),i=e.split(\"y\");return n[0]===i[0]?Number(n[1]||1)-Number(i[1]||1):Number(n[0]||1)-Number(i[0]||1)}return r._plots[t].mainplot?1:-1})).forEach((function(e){var n=r._plots[e],o=n.xaxis,u=n.yaxis;if(!n.mainplot){var 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_=(l[3]-l[1])/(l[2]-l[0]);Math.abs(a*_)>Math.abs(s)?(u.boxEnd[1]=u.boxStart[1]+Math.abs(a)*_*(s>=0?1:-1),u.boxEnd[1]<l[1]?(u.boxEnd[1]=l[1],u.boxEnd[0]=u.boxStart[0]+(l[1]-u.boxStart[1])/Math.abs(_)):u.boxEnd[1]>l[3]&&(u.boxEnd[1]=l[3],u.boxEnd[0]=u.boxStart[0]+(l[3]-u.boxStart[1])/Math.abs(_))):(u.boxEnd[0]=u.boxStart[0]+Math.abs(s)/_*(a>=0?1:-1),u.boxEnd[0]<l[0]?(u.boxEnd[0]=l[0],u.boxEnd[1]=u.boxStart[1]+(l[0]-u.boxStart[0])*Math.abs(_)):u.boxEnd[0]>l[2]&&(u.boxEnd[0]=l[2],u.boxEnd[1]=u.boxStart[1]+(l[2]-u.boxStart[0])*Math.abs(_)))}}else u.boxEnabled?(a=u.boxStart[0]!==u.boxEnd[0],s=u.boxStart[1]!==u.boxEnd[1],a||s?(a&&(g(0,u.boxStart[0],u.boxEnd[0]),t.xaxis.autorange=!1),s&&(g(1,u.boxStart[1],u.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),u.boxEnabled=!1,u.boxInited=!1):u.boxInited&&(u.boxInited=!1);break;case\"pan\":u.boxEnabled=!1,u.boxInited=!1,e?(u.panning||(u.dragStart[0]=n,u.dragStart[1]=i),Math.abs(u.dragStart[0]-n)<d&&(n=u.dragStart[0]),Math.abs(u.dragStart[1]-i)<d&&(i=u.dragStart[1]),a=(h-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),u.panning=!0,u.lastInputTime=Date.now(),c(),t.cameraChanged(),t.handleAnnotations()):u.panning&&(u.panning=!1,t.relayoutCallback())}u.lastPos[0]=n,u.lastPos[1]=i}return u.mouseListener=n(e,f),e.addEventListener(\"touchstart\",(function(t){var r=a(t.changedTouches[0],e);f(0,r[0],r[1]),f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchmove\",(function(t){t.preventDefault();var r=a(t.changedTouches[0],e);f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchend\",(function(t){f(0,u.lastPos[0],u.lastPos[1]),t.preventDefault()}),!!s&&{passive:!1}),u.wheelListener=i(e,(function(e,n){if(!t.scrollZoom)return!1;var i=t.calcDataBox(),a=r.viewBox,o=u.lastPos[0],s=u.lastPos[1],l=Math.exp(5*n/(a[3]-a[1])),f=o/(a[2]-a[0])*(i[2]-i[0])+i[0],h=s/(a[3]-a[1])*(i[3]-i[1])+i[1];return i[0]=(i[0]-f)*l+f,i[2]=(i[2]-f)*l+f,i[1]=(i[1]-h)*l+h,i[3]=(i[3]-h)*l+h,t.setRanges(i),u.lastInputTime=Date.now(),c(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0}),!0),u}},82961:function(t,e,r){\"use strict\";var n=r(89298),i=r(78614);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,u,c,f,h,p;for(this.titleEnable=!1,this.backgroundColor=i(t.plot_bgcolor),h=0;h<2;++h){var d=(e=s[h]).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[h+p]=!1,this.labels[h+p]=n,this.labelColor[h+p]=i(r.title.font.color),this.labelFont[h+p]=r.title.font.family,this.labelSize[h+p]=r.title.font.size,this.labelPad[h+p]=this.getLabelPad(e,r),this.tickEnable[h+p]=!1,this.tickColor[h+p]=i((r.tickfont||{}).color),this.tickAngle[h+p]=\"auto\"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[h+p]=this.getTickPad(r),this.tickMarkLength[h+p]=0,this.tickMarkWidth[h+p]=r.tickwidth||0,this.tickMarkColor[h+p]=i(r.tickcolor),this.borderLineEnable[h+p]=!1,this.borderLineColor[h+p]=i(r.linecolor),this.borderLineWidth[h+p]=r.linewidth||0;u=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!u,l=this.hasAxisInAltrPos(e,r)&&!u,a=r.mirror||!1,c=u?-1!==String(a).indexOf(\"all\"):!!a,f=u?\"allticks\"===a:-1!==String(a).indexOf(\"ticks\"),o?this.labelEnable[h]=!0:l&&(this.labelEnable[h+2]=!0),o?this.tickEnable[h]=r.showticklabels:l&&(this.tickEnable[h+2]=r.showticklabels),(o||c)&&(this.borderLineEnable[h]=r.showline),(l||c)&&(this.borderLineEnable[h+2]=r.showline),(o||f)&&(this.tickMarkLength[h]=this.getTickMarkLength(r)),(l||f)&&(this.tickMarkLength[h+2]=this.getTickMarkLength(r)),this.gridLineEnable[h]=r.showgrid,this.gridLineColor[h]=i(r.gridcolor),this.gridLineWidth[h]=r.gridwidth,this.zeroLineEnable[h]=r.zeroline,this.zeroLineColor[h]=i(r.zerolinecolor),this.zeroLineWidth[h]=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)}},4796:function(t,e,r){\"use strict\";var n=r(30962).overrideAll,i=r(92918),a=r(10820),o=r(77922),s=r(85555),l=r(93612),u=r(528),c=r(27659).NG;e.name=\"gl2d\",e.attr=[\"xaxis\",\"yaxis\"],e.idRoot=[\"x\",\"y\"],e.idRegex=s.idRegex,e.attrRegex=s.attrRegex,e.attributes=r(89502),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:u.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=c(r,\"gl2d\",o),u=s._scene2d;void 0===u&&(u=new i({id:o,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=u),u.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===c(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)}},92918:function(t,e,r){\"use strict\";var n,i,a=r(73972),o=r(89298),s=r(30211),l=r(9330).gl_plot2d,u=r(9330).gl_spikes2d,c=r(9330).gl_select_box,f=r(40372),h=r(82961),p=r(75071),d=r(58617),v=r(99082),g=v.enforce,y=v.clean,m=r(71739).doAutoRange,x=r(64505),b=x.drawMode,_=x.selectMode,w=[\"xaxis\",\"yaxis\"],T=r(85555).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=h(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=u(this.glplot),this.selectBox=c(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=f({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=f({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 u=0;u<4;++u){var c=a[4*(r*o+l)+u];a[4*(r*o+l)+u]=a[4*(r*s+l)+u],a[4*(r*s+l)+u]=c}var f=document.createElement(\"canvas\");f.width=r,f.height=i;var h,p=f.getContext(\"2d\",{willReadFrequently:!0}),d=p.createImageData(r,i);switch(d.data.set(a),p.putImageData(d,0,0),t){case\"jpeg\":h=f.toDataURL(\"image/jpeg\");break;case\"webp\":h=f.toDataURL(\"image/webp\");break;default:h=f.toDataURL(\"image/png\")}return this.staticPlot&&this.container.removeChild(n),h},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 u=n[r._name];u.range=s,u.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,u,c=r._size,f=this.xaxis.domain,h=this.yaxis.domain;for(o.viewBox=[c.l+f[0]*c.w,c.b+h[0]*c.h,i-c.r-(1-f[1])*c.w,a-c.t-(1-h[1])*c.h],this.mouseContainer.style.width=c.w*(f[1]-f[0])+\"px\",this.mouseContainer.style.height=c.h*(h[1]-h[0])+\"px\",this.mouseContainer.height=c.h*(h[1]-h[0]),this.mouseContainer.style.left=c.l+f[0]*c.w+\"px\",this.mouseContainer.style.top=c.t+(1-h[1])*c.h+\"px\",u=0;u<2;++u)(l=this[w[u]])._length=o.viewBox[u+2]-o.viewBox[u],m(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],u=this.traces[i.uid];u?u.update(i,l):(u=i._module.plot(this,i,l),this.traces[i.uid]=u)}this.glplot.objects.sort((function(t,e){return t._trace.index-e._trace.index}))},A.updateFx=function(t){_(t)||b(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 u=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])],c=0;c<2;c++)e.boxStart[c]===e.boxEnd[c]&&(u[c]=t.dataBox[c],u[c+2]=t.dataBox[c+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var f=i._size,h=this.xaxis.domain,p=this.yaxis.domain,d=(a=t.pick(o/t.pixelRatio+f.l+h[0]*f.w,l/t.pixelRatio-(f.t+(1-p[1])*f.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 v=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),v.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[v.trace.index]||{},y=v.pointIndex,m=s.castHoverinfo(g,i,y);if(m&&\"all\"!==m){var x=m.split(\"+\");-1===x.indexOf(\"x\")&&(v.traceCoord[0]=void 0),-1===x.indexOf(\"y\")&&(v.traceCoord[1]=void 0),-1===x.indexOf(\"z\")&&(v.traceCoord[2]=void 0),-1===x.indexOf(\"text\")&&(v.textLabel=void 0),-1===x.indexOf(\"name\")&&(v.name=void 0)}s.loneHover({x:v.screenCoord[0],y:v.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",v.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",v.traceCoord[1]),zLabel:v.traceCoord[2],text:v.textLabel,name:v.name,color:s.castHoverOption(g,y,\"bgcolor\")||v.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}}},58547:function(t,e,r){\"use strict\";var n=r(30962).overrideAll,i=r(528),a=r(33539),o=r(27659).NG,s=r(71828),l=r(77922),u=\"gl3d\",c=\"scene\";e.name=u,e.attr=c,e.idRoot=c,e.idRegex=e.attrRegex=s.counterRegex(\"scene\"),e.attributes=r(59084),e.layoutAttributes=r(65500),e.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},\"plot\",\"nested\"),e.supplyLayoutDefaults=r(24682),e.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots[u],i=0;i<n.length;i++){var s=n[i],l=o(r,u,s),c=e[s],f=c.camera,h=c._scene;h||(h=new a({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:f},e),c._scene=h),h.viewInitial||(h.viewInitial={up:{x:f.up.x,y:f.up.y,z:f.up.z},eye:{x:f.eye.x,y:f.eye.y,z:f.eye.z},center:{x:f.center.x,y:f.center.y,z:f.center.z}}),h.plot(l,e,t.layout)}},e.clean=function(t,e,r,n){for(var i=n._subplots[u]||[],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[u],n=e._size,i=0;i<r.length;i++){var a=e[r[i]],o=a.domain,s=a._scene,c=s.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:l.svg,\"xlink:href\":c,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=\"\"),c+e}},e.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots[u],n=0;n<r.length;n++)e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}},59084:function(t){\"use strict\";t.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},77894:function(t,e,r){\"use strict\";var n=r(7901),i=r(13838),a=r(1426).extendFlat,o=r(30962).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\")},3277:function(t,e,r){\"use strict\";var n=r(84267).mix,i=r(71828),a=r(44467),o=r(77894),s=r(951),l=r(71453),u=[\"xaxis\",\"yaxis\",\"zaxis\"];t.exports=function(t,e,r){var c,f;function h(t,e){return i.coerce(c,f,o,t,e)}for(var p=0;p<u.length;p++){var d=u[p];c=t[d]||{},(f=a.newContainer(e,d))._id=d[0]+r.scene,f._name=d,s(c,f,h,r),l(c,f,h,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelstep:!0,noTicklabelposition:!0,noTicklabeloverflow:!0,noInsiderange:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),h(\"gridcolor\",n(f.color,r.bgColor,72.72727272727273).toRgbString()),h(\"title.text\",d[0]),f.setScale=i.noop,h(\"showspikes\")&&(h(\"spikesides\"),h(\"spikethickness\"),h(\"spikecolor\",f.color)),h(\"showaxeslabels\"),h(\"showbackground\")&&h(\"backgroundcolor\")}}},30422:function(t,e,r){\"use strict\";var n=r(78614),i=r(71828),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.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.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)),\"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)),\"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}},24682:function(t,e,r){\"use strict\";var n=r(71828),i=r(7901),a=r(73972),o=r(49119),s=r(3277),l=r(65500),u=r(27659).NG,c=\"gl3d\";function f(t,e,r,n){for(var o=r(\"bgcolor\"),l=i.combine(o,n.paper_bgcolor),f=[\"up\",\"center\",\"eye\"],h=0;h<f.length;h++)r(\"camera.\"+f[h]+\".x\"),r(\"camera.\"+f[h]+\".y\"),r(\"camera.\"+f[h]+\".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 v=u(n.fullData,c,n.id);s(t,e,{font:n.font,scene:n.id,data:v,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,m=t.camera.up.y,x=t.camera.up.z;0!==x&&(y&&m&&x?x/Math.sqrt(y*y+m*m+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:c,attributes:l,handleDefaults:f,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})}},65500:function(t,e,r){\"use strict\";var n=r(77894),i=r(27670).Y,a=r(1426).extendFlat,o=r(71828).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\"}}}},13133:function(t,e,r){\"use strict\";var n=r(78614),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}},96085:function(t,e,r){\"use strict\";t.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],u=0;u<3;++u){var c=s[a[u]];if(c._length=(r[u].hi-r[u].lo)*r[u].pixelsPerDataUnit/t.dataScale[u],Math.abs(c._length)===1/0||isNaN(c._length))l[u]=[];else{c._input_range=c.range.slice(),c.range[0]=r[u].lo/t.dataScale[u],c.range[1]=r[u].hi/t.dataScale[u],c._m=1/(t.dataScale[u]*r[u].pixelsPerDataUnit),c.range[0]===c.range[1]&&(c.range[0]-=1,c.range[1]+=1);var f=c.tickmode;if(\"auto\"===c.tickmode){c.tickmode=\"linear\";var h=c.nticks||i.constrain(c._length/40,4,9);n.autoTicks(c,Math.abs(c.range[1]-c.range[0])/h)}for(var p=n.calcTicks(c,{msUTC:!0}),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[u],\"date\"===c.type&&(p[d].text=p[d].text.replace(/\\<br\\>/g,\" \"));l[u]=p,c.tickmode=f}}for(e.ticks=l,u=0;u<3;++u)for(o[u]=.5*(t.glplot.bounds[0][u]+t.glplot.bounds[1][u]),d=0;d<2;++d)e.bounds[d][u]=t.glplot.bounds[d][u];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(89298),i=r(71828),a=[\"xaxis\",\"yaxis\",\"zaxis\"],o=[0,0,0]},63538: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])))}},33539:function(t,e,r){\"use strict\";var n,i,a=r(9330).gl_plot3d,o=a.createCamera,s=a.createScene,l=r(40372),u=r(38520),c=r(73972),f=r(71828),h=f.preserveDrawingBuffer(),p=r(89298),d=r(30211),v=r(78614),g=r(58617),y=r(63538),m=r(30422),x=r(13133),b=r(96085),_=r(71739).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=m(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=c.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=c.getComponentMethod(\"annotations3d\",\"draw\"),this.initializeGLPlot()}var k=T.prototype;k.prepareOptions=function(){var t=this,e={canvas:t.canvas,gl:t.gl,glOptions:{preserveDrawingBuffer:h,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||h)r=!1;else{f.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{h=e.glOptions.preserveDrawingBuffer=!0,t.glplot=s(e)}catch(t){h=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)}}),!!u&&{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),b(e),e.glplot.axes.update(e.axesOptions);for(var u=Object.keys(e.traces),c=null,h=e.glplot.selection,v=0;v<u.length;++v)\"skip\"!==(t=e.traces[u[v]]).data.hoverinfo&&t.handlePick(h)&&(c=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!==c){var m=y(e.glplot.cameraParams,h.dataCoordinate);t=c.data;var x,_=r._fullData[t.index],T=h.index,k={xLabel:g(\"x\",h.traceCoordinate[0],t.xhoverformat),yLabel:g(\"y\",h.traceCoordinate[1],t.yhoverformat),zLabel:g(\"z\",h.traceCoordinate[2],t.zhoverformat)},A=d.castHoverinfo(_,e.fullLayout,T),M=(A||\"\").split(\"+\"),S=A&&\"all\"===A;_.hovertemplate||S||(-1===M.indexOf(\"x\")&&(k.xLabel=void 0),-1===M.indexOf(\"y\")&&(k.yLabel=void 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P=[];d.loneHover({trace:_,x:(.5+.5*m[0]/m[3])*s,y:(.5-.5*m[1]/m[3])*l,xLabel:k.xLabel,yLabel:k.yLabel,zLabel:k.zLabel,text:x,name:c.name,color:d.castHoverOption(_,T,\"bgcolor\")||c.color,borderColor:d.castHoverOption(_,T,\"bordercolor\"),fontFamily:d.castHoverOption(_,T,\"font.family\"),fontSize:d.castHoverOption(_,T,\"font.size\"),fontColor:d.castHoverOption(_,T,\"font.color\"),nameLength:d.castHoverOption(_,T,\"namelength\"),textAlign:d.castHoverOption(_,T,\"align\"),hovertemplate:f.castOption(_,T,\"hovertemplate\"),hovertemplateLabels:f.extendFlat({},L,k),eventData:[L]},{container:n,gd:r,inOut_bbox:P}),L.bbox=P[0]}h.distance<5&&(h.buttons||w)?r.emit(\"plotly_click\",C):r.emit(\"plotly_hover\",C),this.oldEventData=C}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):f.error(\"Catastrophic and unrecoverable WebGL error. 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i,a,o,s,l,u,c=e[n.id],f=r[n.id];n.fullLayout=e,n.fullSceneLayout=c,n.axesOptions.merge(e,c),n.spikeOptions.merge(c),n.setViewport(c),n.updateFx(c.dragmode,c.hovermode),n.camera.enableWheel=n.graphDiv._context._scrollZoom.gl3d,n.glplot.setClearColor(v(c.bgcolor)),n.setConvert(l),t?Array.isArray(t)||(t=[t]):t=[];var h=[[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,h);!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 u=n[l];if(u.visible){var c=s.r2l(u[o]);!isNaN(c)&&isFinite(c)&&(e[0][i]=Math.min(e[0][i],c),e[1][i]=Math.max(e[1][i],c))}}}(this,h);var 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A=w[s],E=A.bounds,L=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]-L),y[1][o]=Math.max(y[1][o],E[1][o]/p[o]+L)}for(s=0;s<T.length;s++){var C=T[s];if(C.visible){var P=l.r2l(C[k]);y[0][o]=Math.min(y[0][o],P),y[1][o]=Math.max(y[1][o],P)}}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 O=y[1][o]-y[0][o];y[0][o]-=O/32,y[1][o]+=O/32}if(b=[y[0][o],y[1][o]],b=_(b,l),y[0][o]=b[0],y[1][o]=b[1],l.isReversed()){var I=y[0][o];y[0][o]=y[1][o],y[1][o]=I}}else b=l.range,y[0][o]=l.r2l(b[0]),y[1][o]=l.r2l(b[1]);y[0][o]===y[1][o]&&(y[0][o]-=1,y[1][o]+=1),m[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 D=c.aspectmode;if(\"cube\"===D)g=[1,1,1];else if(\"manual\"===D){var z=c.aspectratio;g=[z.x,z.y,z.z]}else{if(\"auto\"!==D&&\"data\"!==D)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[u=(l=c[M[o]]).type];R[o]=Math.pow(F.acc,1/F.count)/p[o]}g=\"data\"===D||Math.max.apply(null,R)/Math.min.apply(null,R)<=4?R:[1,1,1]}c.aspectratio.x=f.aspectratio.x=g[0],c.aspectratio.y=f.aspectratio.y=g[1],c.aspectratio.z=f.aspectratio.z=g[2],n.glplot.setAspectratio(c.aspectratio),n.viewInitial.aspectratio||(n.viewInitial.aspectratio={x:c.aspectratio.x,y:c.aspectratio.y,z:c.aspectratio.z}),n.viewInitial.aspectmode||(n.viewInitial.aspectmode=c.aspectmode);var B=c.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=f.nestedProperty(t,this.id+\".camera\").get();function n(t,e,r,n){var 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B(t,e,r)},N.plot=function(t,e){for(var r=this,n=e[r.id],i=!1,a=0;a<t.length;a++)if(!1===t[a][0].trace.cliponaxis){i=!0;break}r._hasClipOnAxisFalse=i,r.updateLayers(e,n),r.updateLayout(e,n),f.generalUpdatePerTraceModule(r.gd,r,t,n),r.updateFx(e,n),r.isSmith&&(delete n.realaxis.range,delete n.imaginaryaxis.range)},N.updateLayers=function(t,e){var r=this,i=r.isSmith,a=r.layers,o=r.getRadial(e),s=r.getAngular(e),l=S.layerNames,u=l.indexOf(\"frontplot\"),c=l.slice(0,u),f=\"below traces\"===s.layer,h=\"below traces\"===o.layer;f&&c.push(\"angular-line\"),h&&c.push(\"radial-line\"),f&&c.push(\"angular-axis\"),h&&c.push(\"radial-axis\"),c.push(\"frontplot\"),f||c.push(\"angular-line\"),h||c.push(\"radial-line\"),f||c.push(\"angular-axis\"),h||c.push(\"radial-axis\");var p=(i?\"smith\":\"polar\")+\"sublayer\",d=r.framework.selectAll(\".\"+p).data(c,String);d.enter().append(\"g\").attr(\"class\",(function(t){return p+\" \"+t})).each((function(t){var e=a[t]=n.select(this);switch(t){case\"frontplot\":i||e.append(\"g\").classed(\"barlayer\",!0),e.append(\"g\").classed(\"scatterlayer\",!0);break;case\"backplot\":e.append(\"g\").classed(\"maplayer\",!0);break;case\"plotbg\":a.bg=e.append(\"path\");break;case\"radial-grid\":case\"angular-grid\":e.style(\"fill\",\"none\");break;case\"radial-line\":e.append(\"line\").style(\"fill\",\"none\");break;case\"angular-line\":e.append(\"path\").style(\"fill\",\"none\")}})),d.order()},N.updateLayout=function(t,e){var r=this,n=r.layers,i=t._size,a=r.getRadial(e),o=r.getAngular(e),s=e.domain.x,f=e.domain.y;r.xOffset=i.l+i.w*s[0],r.yOffset=i.t+i.h*(1-f[1]);var h=r.xLength=i.w*(s[1]-s[0]),p=r.yLength=i.h*(f[1]-f[0]),d=r.getSector(e);r.sectorInRad=d.map(R);var v,g,y,m,x,b=r.sectorBBox=function(t){var e,r=t[0],n=t[1]-r,i=z(r,360),a=i+n,o=Math.cos(R(i)),s=Math.sin(R(i)),l=Math.cos(R(a)),u=Math.sin(R(a));return 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A,M=r.xOffset2=i.l+i.w*y[0],S=r.yOffset2=i.t+i.h*(1-m[1]),E=r.radius=v/_,L=r.innerRadius=r.getHole(e)*E,C=r.cx=M-E*b[0],P=r.cy=S+E*b[3],O=r.cxx=C-M,I=r.cyy=P-S,D=a.side;\"counterclockwise\"===D?(A=D,D=\"top\"):\"clockwise\"===D&&(A=D,D=\"bottom\"),r.radialAxis=r.mockAxis(t,e,a,{_id:\"x\",side:D,_trueSide:A,domain:[L/i.w,E/i.w]}),r.angularAxis=r.mockAxis(t,e,o,{side:\"right\",domain:[0,Math.PI],autorange:!1}),r.doAutoRange(t,e),r.updateAngularAxis(t,e),r.updateRadialAxis(t,e),r.updateRadialAxisTitle(t,e),r.xaxis=r.mockCartesianAxis(t,e,{_id:\"x\",domain:y}),r.yaxis=r.mockCartesianAxis(t,e,{_id:\"y\",domain:m});var F=r.pathSubplot();r.clipPaths.forTraces.select(\"path\").attr(\"d\",F).attr(\"transform\",l(O,I)),n.frontplot.attr(\"transform\",l(M,S)).call(c.setClipUrl,r._hasClipOnAxisFalse?null:r.clipIds.forTraces,r.gd),n.bg.attr(\"d\",F).attr(\"transform\",l(C,P)).call(u.fill,e.bgcolor)},N.mockAxis=function(t,e,r,n){var i=o.extendFlat({},r,n);return d(i,e,t),i},N.mockCartesianAxis=function(t,e,r){var n=this,i=n.isSmith,a=r._id,s=o.extendFlat({type:\"linear\"},r);p(s,t);var l={x:[0,2],y:[1,3]};return s.setRange=function(){var t=n.sectorBBox,r=l[a],i=n.radialAxis._rl,o=(i[1]-i[0])/(1-n.getHole(e));s.range=[t[r[0]]*o,t[r[1]]*o]},s.isPtWithinRange=\"x\"!==a||i?function(){return!0}:function(t){return n.isPtInside(t)},s.setRange(),s.setScale(),s},N.doAutoRange=function(t,e){var r=this,n=r.gd,i=r.radialAxis,a=r.getRadial(e);v(n,i);var o=i.range;a.range=o.slice(),a._input.range=o.slice(),i._rl=[i.r2l(o[0],null,\"gregorian\"),i.r2l(o[1],null,\"gregorian\")]},N.updateRadialAxis=function(t,e){var r=this,n=r.gd,i=r.layers,a=r.radius,c=r.innerRadius,f=r.cx,p=r.cy,d=r.getRadial(e),v=z(r.getSector(e)[0],360),g=r.radialAxis,y=c<a,m=r.isSmith;m||(r.fillViewInitialKey(\"radialaxis.angle\",d.angle),r.fillViewInitialKey(\"radialaxis.range\",g.range.slice()),g.setGeometry()),\"auto\"===g.tickangle&&v>90&&v<=270&&(g.tickangle=180);var x=m?function(t){var e=I(r,C([t.x,0]));return l(e[0]-f,e[1]-p)}:function(t){return l(g.l2p(t.x)+c,0)},b=m?function(t){return O(r,t.x,-1/0,1/0)}:function(t){return r.pathArc(g.r2p(t.x)+c)},_=j(d);if(r.radialTickLayout!==_&&(i[\"radial-axis\"].selectAll(\".xtick\").remove(),r.radialTickLayout=_),y){g.setScale();var w=0,T=m?(g.tickvals||[]).filter((function(t){return t>=0})).map((function(t){return h.tickText(g,t,!0,!1)})):h.calcTicks(g),k=m?T:h.clipEnds(g,T),A=h.getTickSigns(g)[2];m&&((\"top\"===g.ticks&&\"bottom\"===g.side||\"bottom\"===g.ticks&&\"top\"===g.side)&&(A=-A),\"top\"===g.ticks&&\"top\"===g.side&&(w=-g.ticklen),\"bottom\"===g.ticks&&\"bottom\"===g.side&&(w=g.ticklen)),h.drawTicks(n,g,{vals:T,layer:i[\"radial-axis\"],path:h.makeTickPath(g,0,A),transFn:x,crisp:!1}),h.drawGrid(n,g,{vals:k,layer:i[\"radial-grid\"],path:b,transFn:o.noop,crisp:!1}),h.drawLabels(n,g,{vals:T,layer:i[\"radial-axis\"],transFn:x,labelFns:h.makeLabelFns(g,w)})}var M=r.radialAxisAngle=r.vangles?F(U(R(d.angle),r.vangles)):d.angle,S=l(f,p),E=S+s(-M);V(i[\"radial-axis\"],y&&(d.showticklabels||d.ticks),{transform:E}),V(i[\"radial-grid\"],y&&d.showgrid,{transform:m?\"\":S}),V(i[\"radial-line\"].select(\"line\"),y&&d.showline,{x1:m?-a:c,y1:0,x2:a,y2:0,transform:E}).attr(\"stroke-width\",d.linewidth).call(u.stroke,d.linecolor)},N.updateRadialAxisTitle=function(t,e,r){if(!this.isSmith){var n=this,i=n.gd,a=n.radius,o=n.cx,s=n.cy,l=n.getRadial(e),u=n.id+\"title\",f=0;if(l.title){var h=c.bBox(n.layers[\"radial-axis\"].node()).height,p=l.title.font.size,d=l.side;f=\"top\"===d?p:\"counterclockwise\"===d?-(h+.4*p):h+.8*p}var v=void 0!==r?r:n.radialAxisAngle,g=R(v),y=Math.cos(g),m=Math.sin(g),b=o+a/2*y+f*m,_=s-a/2*m+f*y;n.layers[\"radial-axis-title\"]=x.draw(i,u,{propContainer:l,propName:n.id+\".radialaxis.title\",placeholder:D(i,\"Click to enter radial axis 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e=y(t),r=Math.cos(e),n=Math.sin(e);return\"M\"+[f+c*r,p-c*n]+\"L\"+[f+a*r,p-a*n]},w=h.makeLabelFns(v,0).labelStandoff,T={xFn:function(t){var e=y(t);return Math.cos(e)*w},yFn:function(t){var e=y(t),r=Math.sin(e)>0?.2:1;return-Math.sin(e)*(w+t.fontSize*r)+Math.abs(Math.cos(e))*(t.fontSize*M)},anchorFn:function(t){var e=y(t),r=Math.cos(e);return Math.abs(r)<.1?\"middle\":r>0?\"start\":\"end\"},heightFn:function(t,e,r){var n=y(t);return-.5*(1+Math.sin(n))*r}},k=j(d);r.angularTickLayout!==k&&(i[\"angular-axis\"].selectAll(\".\"+v._id+\"tick\").remove(),r.angularTickLayout=k);var A,S=g?[1/0].concat(v.tickvals||[]).map((function(t){return h.tickText(v,t,!0,!1)})):h.calcTicks(v);if(g&&(S[0].text=\"∞\",S[0].fontSize*=1.75),\"linear\"===e.gridshape?(A=S.map(y),o.angleDelta(A[0],A[1])<0&&(A=A.slice().reverse())):A=null,r.vangles=A,\"category\"===v.type&&(S=S.filter((function(t){return o.isAngleInsideSector(y(t),r.sectorInRad)}))),v.visible){var E=\"inside\"===v.ticks?-1:1,L=(v.linewidth||1)/2;h.drawTicks(n,v,{vals:S,layer:i[\"angular-axis\"],path:\"M\"+E*L+\",0h\"+E*v.ticklen,transFn:b,crisp:!1}),h.drawGrid(n,v,{vals:S,layer:i[\"angular-grid\"],path:_,transFn:o.noop,crisp:!1}),h.drawLabels(n,v,{vals:S,layer:i[\"angular-axis\"],repositionOnUpdate:!0,transFn:x,labelFns:T})}V(i[\"angular-line\"].select(\"path\"),d.showline,{d:r.pathSubplot(),transform:l(f,p)}).attr(\"stroke-width\",d.linewidth).call(u.stroke,d.linecolor)},N.updateFx=function(t,e){this.gd._context.staticPlot||(!this.isSmith&&(this.updateAngularDrag(t),this.updateRadialDrag(t,e,0),this.updateRadialDrag(t,e,1)),this.updateHoverAndMainDrag(t))},N.updateHoverAndMainDrag=function(t){var e,r,s=this,u=s.isSmith,c=s.gd,f=s.layers,h=t._zoomlayer,p=S.MINZOOM,d=S.OFFEDGE,v=s.radius,x=s.innerRadius,T=s.cx,k=s.cy,A=s.cxx,M=s.cyy,L=s.sectorInRad,C=s.vangles,P=s.radialAxis,O=E.clampTiny,I=E.findXYatLength,D=E.findEnclosingVertexAngles,z=S.cornerHalfWidth,R=S.cornerLen/2,F=g.makeDragger(f,\"path\",\"maindrag\",!1===t.dragmode?\"none\":\"crosshair\");n.select(F).attr(\"d\",s.pathSubplot()).attr(\"transform\",l(T,k)),F.onmousemove=function(t){m.hover(c,t,s.id),c._fullLayout._lasthover=F,c._fullLayout._hoversubplot=s.id},F.onmouseout=function(t){c._dragging||y.unhover(c,t)};var B,N,j,U,V,H,q,G,Z,Y={element:F,gd:c,subplot:s.id,plotinfo:{id:s.id,xaxis:s.xaxis,yaxis:s.yaxis},xaxes:[s.xaxis],yaxes:[s.yaxis]};function W(t,e){return Math.sqrt(t*t+e*e)}function X(t,e){return W(t-A,e-M)}function J(t,e){return Math.atan2(M-e,t-A)}function K(t,e){return[t*Math.cos(e),t*Math.sin(-e)]}function $(t,e){if(0===t)return s.pathSector(2*z);var r=R/t,n=e-r,i=e+r,a=Math.max(0,Math.min(t,v)),o=a-z,l=a+z;return\"M\"+K(o,n)+\"A\"+[o,o]+\" 0,0,0 \"+K(o,i)+\"L\"+K(l,i)+\"A\"+[l,l]+\" 0,0,1 \"+K(l,n)+\"Z\"}function Q(t,e,r){if(0===t)return s.pathSector(2*z);var n,i,a=K(t,e),o=K(t,r),l=O((a[0]+o[0])/2),u=O((a[1]+o[1])/2);if(l&&u){var c=u/l,f=-1/c,h=I(z,c,l,u);n=I(R,f,h[0][0],h[0][1]),i=I(R,f,h[1][0],h[1][1])}else{var p,d;u?(p=R,d=z):(p=z,d=R),n=[[l-p,u-d],[l+p,u-d]],i=[[l-p,u+d],[l+p,u+d]]}return\"M\"+n.join(\"L\")+\"L\"+i.reverse().join(\"L\")+\"Z\"}function tt(t,e){return e=Math.max(Math.min(e,v),x),t<d?t=0:v-t<d?t=v:e<d?e=0:v-e<d&&(e=v),Math.abs(e-t)>p?(t<e?(j=t,U=e):(j=e,U=t),!0):(j=null,U=null,!1)}function et(t,e){t=t||V,e=e||\"M0,0Z\",G.attr(\"d\",t),Z.attr(\"d\",e),g.transitionZoombox(G,Z,H,q),H=!0;var r={};ot(r),c.emit(\"plotly_relayouting\",r)}function rt(t,n){var i,a,o=B+(t*=e),l=N+(n*=r),u=X(B,N),c=Math.min(X(o,l),v),f=J(B,N);tt(u,c)&&(i=V+s.pathSector(U),j&&(i+=s.pathSector(j)),a=$(j,f)+$(U,f)),et(i,a)}function 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n=r(39898),i=r(84267),a=r(73972),o=r(71828),s=o.strTranslate,l=o._,u=r(7901),c=r(91424),f=r(21994),h=r(1426).extendFlat,p=r(74875),d=r(89298),v=r(28569),g=r(30211),y=r(64505),m=y.freeMode,x=y.rectMode,b=r(92998),_=r(47322).prepSelect,w=r(47322).selectOnClick,T=r(47322).clearOutline,k=r(47322).clearSelectionsCache,A=r(85555);function M(t,e){this.id=t.id,this.graphDiv=t.graphDiv,this.init(e),this.makeFramework(e),this.aTickLayout=null,this.bTickLayout=null,this.cTickLayout=null}t.exports=M;var S=M.prototype;S.init=function(t){this.container=t._ternarylayer,this.defs=t._defs,this.layoutId=t._uid,this.traceHash={},this.layers={}},S.plot=function(t,e){var r=this,n=e[r.id],i=e._size;r._hasClipOnAxisFalse=!1;for(var a=0;a<t.length;a++)if(!1===t[a][0].trace.cliponaxis){r._hasClipOnAxisFalse=!0;break}r.updateLayers(n),r.adjustLayout(n,i),p.generalUpdatePerTraceModule(r.graphDiv,r,t,n),r.layers.plotbg.select(\"path\").call(u.fill,n.bgcolor)},S.makeFramework=function(t){var e=this,r=e.graphDiv,n=t[e.id],i=e.clipId=\"clip\"+e.layoutId+e.id,a=e.clipIdRelative=\"clip-relative\"+e.layoutId+e.id;e.clipDef=o.ensureSingleById(t._clips,\"clipPath\",i,(function(t){t.append(\"path\").attr(\"d\",\"M0,0Z\")})),e.clipDefRelative=o.ensureSingleById(t._clips,\"clipPath\",a,(function(t){t.append(\"path\").attr(\"d\",\"M0,0Z\")})),e.plotContainer=o.ensureSingle(e.container,\"g\",e.id),e.updateLayers(n),c.setClipUrl(e.layers.backplot,i,r),c.setClipUrl(e.layers.grids,i,r)},S.updateLayers=function(t){var e=this.layers,r=[\"draglayer\",\"plotbg\",\"backplot\",\"grids\"];\"below traces\"===t.aaxis.layer&&r.push(\"aaxis\",\"aline\"),\"below traces\"===t.baxis.layer&&r.push(\"baxis\",\"bline\"),\"below traces\"===t.caxis.layer&&r.push(\"caxis\",\"cline\"),r.push(\"frontplot\"),\"above traces\"===t.aaxis.layer&&r.push(\"aaxis\",\"aline\"),\"above 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,v=(d.x[0]+d.x[1])/2,g=(d.y[0]+d.y[1])/2,y=d.x[1]-d.x[0],m=d.y[1]-d.y[0],x=y*e.w,b=m*e.h,_=t.sum,w=t.aaxis.min,T=t.baxis.min,k=t.caxis.min;x>E*b?i=(a=b)*E:a=(i=x)/E,o=y*i/x,l=m*a/b,r=e.l+e.w*v-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=_,p.xaxis={type:\"linear\",range:[w+2*k-_,_-w-2*T],domain:[v-o/2,v+o/2],_id:\"x\"},f(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,_-T-k],domain:[g-l/2,g+l/2],_id:\"y\"},f(p.yaxis,p.graphDiv._fullLayout),p.yaxis.setScale(),p.yaxis.isPtWithinRange=function(){return!0};var A=p.yaxis.domain[0],M=p.aaxis=h({},t.aaxis,{range:[w,_-T-k],side:\"left\",tickangle:(+t.aaxis.tickangle||0)-30,domain:[A,A+l*E],anchor:\"free\",position:0,_id:\"y\",_length:i});f(M,p.graphDiv._fullLayout),M.setScale();var S=p.baxis=h({},t.baxis,{range:[_-w-k,T],side:\"bottom\",domain:p.xaxis.domain,anchor:\"free\",position:0,_id:\"x\",_length:i});f(S,p.graphDiv._fullLayout),S.setScale();var L=p.caxis=h({},t.caxis,{range:[_-w-T,k],side:\"right\",tickangle:(+t.caxis.tickangle||0)+30,domain:[A,A+l*E],anchor:\"free\",position:0,_id:\"y\",_length:i});f(L,p.graphDiv._fullLayout),L.setScale();var C=\"M\"+r+\",\"+(n+a)+\"h\"+i+\"l-\"+i/2+\",-\"+a+\"Z\";p.clipDef.select(\"path\").attr(\"d\",C),p.layers.plotbg.select(\"path\").attr(\"d\",C);var P=\"M0,\"+a+\"h\"+i+\"l-\"+i/2+\",-\"+a+\"Z\";p.clipDefRelative.select(\"path\").attr(\"d\",P);var O=s(r,n);p.plotContainer.selectAll(\".scatterlayer,.maplayer\").attr(\"transform\",O),p.clipDefRelative.select(\"path\").attr(\"transform\",null);var I=s(r-S._offset,n+a);p.layers.baxis.attr(\"transform\",I),p.layers.bgrid.attr(\"transform\",I);var D=s(r+i/2,n)+\"rotate(30)\"+s(0,-M._offset);p.layers.aaxis.attr(\"transform\",D),p.layers.agrid.attr(\"transform\",D);var z=s(r+i/2,n)+\"rotate(-30)\"+s(0,-L._offset);p.layers.caxis.attr(\"transform\",z),p.layers.cgrid.attr(\"transform\",z),p.drawAxes(!0),p.layers.aline.select(\"path\").attr(\"d\",M.showline?\"M\"+r+\",\"+(n+a)+\"l\"+i/2+\",-\"+a:\"M0,0\").call(u.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(u.stroke,S.linecolor||\"#000\").style(\"stroke-width\",(S.linewidth||0)+\"px\"),p.layers.cline.select(\"path\").attr(\"d\",L.showline?\"M\"+(r+i/2)+\",\"+n+\"l\"+i/2+\",\"+a:\"M0,0\").call(u.stroke,L.linecolor||\"#000\").style(\"stroke-width\",(L.linewidth||0)+\"px\"),p.graphDiv._context.staticPlot||p.initInteractions(),c.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 u=Math.max(a.showticklabels?a.tickfont.size/2:0,(s.showticklabels?.75*s.tickfont.size:0)+(\"outside\"===s.ticks?.87*s.ticklen:0)),c=(o.showticklabels?o.tickfont.size:0)+(\"outside\"===o.ticks?o.ticklen:0)+3;i[\"a-title\"]=b.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-u,\"text-anchor\":\"middle\"}}),i[\"b-title\"]=b.draw(r,\"b\"+n,{propContainer:o,propName:e.id+\".baxis.title\",placeholder:l(r,\"Click to enter Component B title\"),attributes:{x:e.x0-c,y:e.y0+e.h+.83*o.title.font.size+c,\"text-anchor\":\"middle\"}}),i[\"c-title\"]=b.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+c,y:e.y0+e.h+.83*s.title.font.size+c,\"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],u=a+\"tickLayout\",c=(e=t).ticks+String(e.ticklen)+String(e.showticklabels);r[u]!==c&&(l.selectAll(\".\"+s+\"tick\").remove(),r[u]=c),t.setScale();var f=d.calcTicks(t),h=d.clipEnds(t,f),p=d.makeTransTickFn(t),v=d.getTickSigns(t)[2],g=o.deg2rad(30),y=v*(t.linewidth||1)/2,m=v*t.ticklen,x=r.w,b=r.h,_=\"b\"===a?\"M0,\"+y+\"l\"+Math.sin(g)*m+\",\"+Math.cos(g)*m:\"M\"+y+\",0l\"+Math.cos(g)*m+\",\"+-Math.sin(g)*m,w={a:\"M0,0l\"+b+\",-\"+x/2,b:\"M0,0l-\"+x/2+\",-\"+b,c:\"M0,0l-\"+b+\",\"+x/2}[a];d.drawTicks(n,t,{vals:\"inside\"===t.ticks?h:f,layer:l,path:_,transFn:p,crisp:!1}),d.drawGrid(n,t,{vals:h,layer:r.layers[a+\"grid\"],path:w,transFn:p,crisp:!1}),d.drawLabels(n,t,{vals:f,layer:l,transFn:p,labelFns:d.makeLabelFns(t,0,30)})};var L=A.MINZOOM/2+.87,C=\"m-0.87,.5h\"+L+\"v3h-\"+(L+5.2)+\"l\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l2.6,1.5l-\"+L/2+\",\"+.87*L+\"Z\",P=\"m0.87,.5h-\"+L+\"v3h\"+(L+5.2)+\"l-\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l-2.6,1.5l\"+L/2+\",\"+.87*L+\"Z\",O=\"m0,1l\"+L/2+\",\"+.87*L+\"l2.6,-1.5l-\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l-\"+(L/2+2.6)+\",\"+(.87*L+4.5)+\"l2.6,1.5l\"+L/2+\",-\"+.87*L+\"Z\",I=!0;function D(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,f,h,p,d,y,b,T,k,M=this,S=M.layers.plotbg.select(\"path\").node(),L=M.graphDiv,z=L._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=L._fullLayout.clickmode;D(L),2===t&&(L.emit(\"plotly_doubleclick\",null),a.call(\"_guiRelayout\",L,R({a:0,b:0,c:0}))),r.indexOf(\"select\")>-1&&1===t&&w(e,L,[M.xaxis],[M.yaxis],M.id,M.dragOptions),r.indexOf(\"event\")>-1&&g.click(L,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))),u=Math.max(0,Math.min(1,N(r,n),N(o,s))),c=Math.max(0,Math.min(1,j(r,n),j(o,s))),v=(l/2+c)*M.w,g=(1-l/2-u)*M.w,m=(v+g)/2,x=g-v,_=(1-l)*M.h,w=_-x/E;x<A.MINZOOM?(p=f,T.attr(\"d\",y),k.attr(\"d\",\"M0,0Z\")):(p={a:f.a+l*h,b:f.b+u*h,c:f.c+c*h},T.attr(\"d\",y+\"M\"+v+\",\"+_+\"H\"+g+\"L\"+m+\",\"+w+\"L\"+v+\",\"+_+\"Z\"),k.attr(\"d\",\"M\"+r+\",\"+n+\"m0.5,0.5h5v-2h-5v-5h-2v5h-5v2h5v5h2ZM\"+v+\",\"+_+C+\"M\"+g+\",\"+_+P+\"M\"+m+\",\"+w+O)),b||(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),b=!0),L.emit(\"plotly_relayouting\",R(p))}function V(){D(L),p!==f&&(a.call(\"_guiRelayout\",L,R(p)),I&&L.data&&L._context.showTips&&(o.notifier(l(L,\"Double-click to zoom back out\"),\"long\"),I=!1))}function H(t,e){var r=t/M.xaxis._m,n=e/M.yaxis._m,i=[(p={a:f.a-n,b:f.b+(r+n)/2,c:f.c-(r-n)/2}).a,p.b,p.c].sort(o.sorterAsc),a=i.indexOf(p.a),l=i.indexOf(p.b),u=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[u]},e=(f.a-p.a)*M.yaxis._m,t=(f.c-p.c-f.b+p.b)*M.xaxis._m);var h=s(M.x0+t,M.y0+e);M.plotContainer.selectAll(\".scatterlayer,.maplayer\").attr(\"transform\",h);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(c.hideOutsideRangePoints,M),L.emit(\"plotly_relayouting\",R(p))}function q(){a.call(\"_guiRelayout\",L,R(p))}this.dragOptions={element:S,gd:L,plotinfo:{id:M.id,domain:L._fullLayout[M.id].domain,xaxis:M.xaxis,yaxis:M.yaxis},subplot:M.id,prepFn:function(a,l,c){M.dragOptions.xaxes=[M.xaxis],M.dragOptions.yaxes=[M.yaxis],t=L._fullLayout._invScaleX,e=L._fullLayout._invScaleY;var v=M.dragOptions.dragmode=L._fullLayout.dragmode;m(v)?M.dragOptions.minDrag=1:M.dragOptions.minDrag=void 0,\"zoom\"===v?(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,L._fullLayout._calcInverseTransform(L);var c=L._fullLayout._invTransform,v=o.apply3DTransform(c)(r,n);r=v[0],n=v[1],f={a:M.aaxis.range[0],b:M.baxis.range[1],c:M.caxis.range[1]},p=f,h=M.aaxis.range[1]-f.a,d=i(M.graphDiv._fullLayout[M.id].bgcolor).getLuminance(),y=\"M0,\"+M.h+\"L\"+M.w/2+\", 0L\"+M.w+\",\"+M.h+\"Z\",b=!1,T=z.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=z.append(\"path\").attr(\"class\",\"zoombox-corners\").attr(\"transform\",s(M.x0,M.y0)).style({fill:u.background,stroke:u.defaultLine,\"stroke-width\":1,opacity:0}).attr(\"d\",\"M0,0Z\"),M.clearOutline(L)}(0,l,c)):\"pan\"===v?(M.dragOptions.moveFn=H,M.dragOptions.clickFn=F,M.dragOptions.doneFn=q,f={a:M.aaxis.range[0],b:M.baxis.range[1],c:M.caxis.range[1]},p=f,M.clearOutline(L)):(x(v)||m(v))&&_(a,l,c,M.dragOptions,v)}},S.onmousemove=function(t){g.hover(L,t,M.id),L._fullLayout._lasthover=S,L._fullLayout._hoversubplot=M.id},S.onmouseout=function(t){L._dragging||v.unhover(L,t)},v.init(this.dragOptions)}},73972:function(t,e,r){\"use strict\";var n=r(47769),i=r(64213),a=r(75138),o=r(41965),s=r(24401).addStyleRule,l=r(1426),u=r(9012),c=r(10820),f=l.extendFlat,h=l.extendDeepAll;function 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f=n(a);this.distinctPositions=f.vals,1===f.vals.length&&r!==1/0?this.minDiff=r:this.minDiff=Math.min(f.minDiff,r);var h=(e.posAxis||{}).type;\"category\"!==h&&\"multicategory\"!==h||(this.minDiff=1),this.binWidth=this.minDiff,this.bins={}}i.prototype.put=function(t,e){var r=this.getLabel(t,e),n=this.bins[r]||0;return this.bins[r]=n+e,n},i.prototype.get=function(t,e){var r=this.getLabel(t,e);return this.bins[r]||0},i.prototype.getLabel=function(t,e){return(e<0&&this.sepNegVal?\"v\":\"^\")+(this.overlapNoMerge?t:Math.round(t/this.binWidth))}},16688:function(t,e,r){\"use strict\";var n=r(39898),i=r(7901),a=r(91424),o=r(71828),s=r(73972),l=r(72597).resizeText,u=r(1486),c=u.textfont,f=u.insidetextfont,h=u.outsidetextfont,p=r(69383);function d(t,e,r){a.pointStyle(t.selectAll(\"path\"),e,r),v(t,e,r)}function v(t,e,r){t.selectAll(\"text\").each((function(t){var i=n.select(this),s=o.ensureUniformFontSize(r,g(i,t,e,r));a.font(i,s)}))}function g(t,e,r,n){var 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n=r(7901),i=r(52075).hasColorscale,a=r(1586),o=r(71828).coercePattern;t.exports=function(t,e,r,s,l){var u=r(\"marker.color\",s),c=i(t,\"marker\");c&&a(t,e,l,r,{prefix:\"marker.\",cLetter:\"c\"}),r(\"marker.line.color\",n.defaultLine),i(t,\"marker.line\")&&a(t,e,l,r,{prefix:\"marker.line.\",cLetter:\"c\"}),r(\"marker.line.width\"),r(\"marker.opacity\"),o(r,\"marker.pattern\",u,c),r(\"selected.marker.color\"),r(\"unselected.marker.color\")}},72597:function(t,e,r){\"use strict\";var n=r(39898),i=r(71828);function a(t){return\"_\"+t+\"Text_minsize\"}t.exports={recordMinTextSize:function(t,e,r){if(r.uniformtext.mode){var n=a(t),i=r.uniformtext.minsize,o=e.scale*e.fontSize;e.hide=o<i,r[n]=r[n]||1/0,e.hide||(r[n]=Math.min(r[n],Math.max(o,i)))}},clearMinTextSize:function(t,e){e[a(t)]=void 0},resizeText:function(t,e,r){var a=t._fullLayout,o=a[\"_\"+r+\"Text_minsize\"];if(o){var 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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=u(t,e,r)),\"closest\"===n?i?[i]:o:i?(o.push(i),o):o},hoverOnBoxes:l,hoverOnPoints:u}},83832:function(t,e,r){\"use strict\";t.exports={attributes:r(53522),layoutAttributes:r(40094),supplyDefaults:r(36411).supplyDefaults,crossTraceDefaults:r(36411).crossTraceDefaults,supplyLayoutDefaults:r(4199).supplyLayoutDefaults,calc:r(48518),crossTraceCalc:r(37188).crossTraceCalc,plot:r(86047).plot,style:r(58063).style,styleOnSelect:r(58063).styleOnSelect,hoverPoints:r(41868).hoverPoints,eventData:r(74907),selectPoints:r(24626),moduleType:\"trace\",name:\"box\",basePlotModule:r(93612),categories:[\"cartesian\",\"svg\",\"symbols\",\"oriented\",\"box-violin\",\"showLegend\",\"boxLayout\",\"zoomScale\"],meta:{}}},40094:function(t){\"use 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b=t.selectAll(\"path.box\").data(\"violin\"!==r.type||r.box.visible?i.identity:[]);b.enter().append(\"path\").style(\"vector-effect\",o?\"none\":\"non-scaling-stroke\").attr(\"class\",\"box\"),b.exit().remove(),b.each((function(t){if(t.empty)return n.select(this).attr(\"d\",\"M0,0Z\");var e=f.c2l(t.pos+p,!0),a=f.l2p(e-s)+v,o=f.l2p(e+l)+v,b=h?(a+o)/2:f.l2p(e)+v,_=r.whiskerwidth,w=h?a*_+(1-_)*b:f.l2p(e-d)+v,T=h?o*_+(1-_)*b:f.l2p(e+d)+v,k=f.l2p(e-s*x)+v,A=f.l2p(e+l*x)+v,M=\"sd\"===r.sizemode,S=c.c2p(M?t.mean-t.sd:t.q1,!0),E=M?c.c2p(t.mean+t.sd,!0):c.c2p(t.q3,!0),L=i.constrain(M?c.c2p(t.mean,!0):c.c2p(t.med,!0),Math.min(S,E)+1,Math.max(S,E)-1),C=void 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t.forEach((function(t){t.t=n,t.trace=r})),t}:[]);f.enter().append(\"g\").attr(\"class\",\"points\"),f.exit().remove();var h=f.selectAll(\"path\").data((function(t){var e,n,a=t.pts2,o=Math.max((t.max-t.min)/10,t.q3-t.q1),s=1e-9*o,f=.01*o,h=[],p=0;if(r.jitter){if(0===o)for(p=1,h=new Array(a.length),e=0;e<a.length;e++)h[e]=1;else for(e=0;e<a.length;e++){var d=Math.max(0,e-5),v=a[d].v,g=Math.min(a.length-1,e+5),y=a[g].v;\"all\"!==c&&(a[e].v<t.lf?y=Math.min(y,t.lf):v=Math.max(v,t.uf));var m=Math.sqrt(f*(g-d)/(y-v+s))||0;m=i.constrain(Math.abs(m),0,1),h.push(m),p=Math.max(m,p)}n=2*r.jitter/(p||1)}for(e=0;e<a.length;e++){var x=a[e],b=x.v,_=r.jitter?n*h[e]*(i.pseudoRandom()-.5):0,w=t.pos+u+l*(r.pointpos+_);\"h\"===r.orientation?(x.y=w,x.x=b):(x.x=w,x.y=b),\"suspectedoutliers\"===c&&b<t.uo&&b>t.lo&&(x.so=!0)}return a}));h.enter().append(\"path\").classed(\"point\",!0),h.exit().remove(),h.call(a.translatePoints,o,s)}function l(t,e,r,a){var o,s,l=e.val,u=e.pos,c=!!u.rangebreaks,f=a.bPos,h=a.bPosPxOffset||0,p=r.boxmean||(r.meanline||{}).visible;Array.isArray(a.bdPos)?(o=a.bdPos[0],s=a.bdPos[1]):(o=a.bdPos,s=a.bdPos);var d=t.selectAll(\"path.mean\").data(\"box\"===r.type&&r.boxmean||\"violin\"===r.type&&r.box.visible&&r.meanline.visible?i.identity:[]);d.enter().append(\"path\").attr(\"class\",\"mean\").style({fill:\"none\",\"vector-effect\":\"non-scaling-stroke\"}),d.exit().remove(),d.each((function(t){var e=u.c2l(t.pos+f,!0),i=u.l2p(e-o)+h,a=u.l2p(e+s)+h,d=c?(i+a)/2:u.l2p(e)+h,v=l.c2p(t.mean,!0),g=l.c2p(t.mean-t.sd,!0),y=l.c2p(t.mean+t.sd,!0);\"h\"===r.orientation?n.select(this).attr(\"d\",\"M\"+v+\",\"+i+\"V\"+a+(\"sd\"===p?\"m0,0L\"+g+\",\"+d+\"L\"+v+\",\"+i+\"L\"+y+\",\"+d+\"Z\":\"\")):n.select(this).attr(\"d\",\"M\"+i+\",\"+v+\"H\"+a+(\"sd\"===p?\"m0,0L\"+d+\",\"+g+\"L\"+i+\",\"+v+\"L\"+d+\",\"+y+\"Z\":\"\"))}))}t.exports={plot:function(t,e,r,a){var u=t._context.staticPlot,c=e.xaxis,f=e.yaxis;i.makeTraceGroups(a,r,\"trace boxes\").each((function(t){var e,r,i=n.select(this),a=t[0],h=a.t,p=a.trace;h.wdPos=h.bdPos*p.whiskerwidth,!0!==p.visible||h.empty?i.remove():(\"h\"===p.orientation?(e=f,r=c):(e=c,r=f),o(i,{pos:e,val:r},p,h,u),s(i,{x:c,y:f},p,h),l(i,{pos:e,val:r},p,h))}))},plotBoxAndWhiskers:o,plotPoints:s,plotBoxMean:l}},24626:function(t){\"use strict\";t.exports=function(t,e){var r,n,i=t.cd,a=t.xaxis,o=t.yaxis,s=[];if(!1===e)for(r=0;r<i.length;r++)for(n=0;n<(i[r].pts||[]).length;n++)i[r].pts[n].selected=0;else for(r=0;r<i.length;r++)for(n=0;n<(i[r].pts||[]).length;n++){var l=i[r].pts[n],u=a.c2p(l.x),c=o.c2p(l.y);e.contains([u,c],null,l.i,t)?(s.push({pointNumber:l.i,x:a.c2d(l.x),y:o.c2d(l.y)}),l.selected=1):l.selected=0}return s}},58063:function(t,e,r){\"use strict\";var n=r(39898),i=r(7901),a=r(91424);t.exports={style:function(t,e,r){var o=r||n.select(t).selectAll(\"g.trace.boxes\");o.style(\"opacity\",(function(t){return 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n=r(82196),i=r(9012),a=r(41940),o=r(12663).axisHoverFormat,s=r(5386).fF,l=r(5386).si,u=r(50693),c=r(1426).extendFlat;t.exports=c({z:{valType:\"data_array\",editType:\"calc\"},x:c({},n.x,{impliedEdits:{xtype:\"array\"}}),x0:c({},n.x0,{impliedEdits:{xtype:\"scaled\"}}),dx:c({},n.dx,{impliedEdits:{xtype:\"scaled\"}}),y:c({},n.y,{impliedEdits:{ytype:\"array\"}}),y0:c({},n.y0,{impliedEdits:{ytype:\"scaled\"}}),dy:c({},n.dy,{impliedEdits:{ytype:\"scaled\"}}),xperiod:c({},n.xperiod,{impliedEdits:{xtype:\"scaled\"}}),yperiod:c({},n.yperiod,{impliedEdits:{ytype:\"scaled\"}}),xperiod0:c({},n.xperiod0,{impliedEdits:{xtype:\"scaled\"}}),yperiod0:c({},n.yperiod0,{impliedEdits:{ytype:\"scaled\"}}),xperiodalignment:c({},n.xperiodalignment,{impliedEdits:{xtype:\"scaled\"}}),yperiodalignment:c({},n.yperiodalignment,{impliedEdits:{ytype:\"scaled\"}}),text:{valType:\"data_array\",editType:\"calc\"},hovertext:{valType:\"data_array\",editType:\"calc\"},transpose:{valType:\"boolean\",dflt:!1,editType:\"calc\"},xtype:{valType:\"enumerated\",values:[\"array\",\"scaled\"],editType:\"calc+clearAxisTypes\"},ytype:{valType:\"enumerated\",values:[\"array\",\"scaled\"],editType:\"calc+clearAxisTypes\"},zsmooth:{valType:\"enumerated\",values:[\"fast\",\"best\",!1],dflt:!1,editType:\"calc\"},hoverongaps:{valType:\"boolean\",dflt:!0,editType:\"none\"},connectgaps:{valType:\"boolean\",editType:\"calc\"},xgap:{valType:\"number\",dflt:0,min:0,editType:\"plot\"},ygap:{valType:\"number\",dflt:0,min:0,editType:\"plot\"},xhoverformat:o(\"x\"),yhoverformat:o(\"y\"),zhoverformat:o(\"z\",1),hovertemplate:s(),texttemplate:l({arrayOk:!1,editType:\"plot\"},{keys:[\"x\",\"y\",\"z\",\"text\"]}),textfont:a({editType:\"plot\",autoSize:!0,autoColor:!0,colorEditType:\"style\"}),showlegend:c({},i.showlegend,{dflt:!1})},{transforms:void 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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(D),E.exit().remove(),S.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\");var z=e._fullLayout.paper_bgcolor;M.select(\"text.catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"alignment-baseline\",\"middle\").style(\"text-shadow\",f.makeTextShadow(z)).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 t.model.categoryLabel})).each((function(t){u.font(n.select(this),t.parcatsViewModel.categorylabelfont),f.convertToTspans(n.select(this),e)})),S.append(\"text\").attr(\"class\",\"dimlabel\"),M.select(\"text.dimlabel\").attr(\"text-anchor\",\"middle\").attr(\"alignment-baseline\",\"baseline\").attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"ew-resize\"})).attr(\"x\",(function(t){return t.width/2})).attr(\"y\",-5).text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){u.font(n.select(this),t.parcatsViewModel.labelfont)})),M.selectAll(\"rect.bandrect\").on(\"mouseover\",L).on(\"mouseout\",C),M.exit().remove(),A.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on(\"dragstart\",P).on(\"drag\",O).on(\"dragend\",I)),h.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\")})),h.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 v(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function g(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){s.raiseToTop(this),w(n.select(this));var e=m(t),r=x(t);if(t.parcatsViewModel.graphDiv.emit(\"plotly_hover\",{points:e,event:n.event,constraints:r}),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\")){var i,a,l,u=n.mouse(this)[0],f=t.parcatsViewModel.graphDiv,h=t.parcatsViewModel.trace,p=f._fullLayout,d=p._paperdiv.node().getBoundingClientRect(),v=t.parcatsViewModel.graphDiv.getBoundingClientRect();for(l=0;l<t.leftXs.length-1;l++)if(t.leftXs[l]+t.dimWidths[l]-2<=u&&u<=t.leftXs[l+1]+2){var g=t.parcatsViewModel.dimensions[l],y=t.parcatsViewModel.dimensions[l+1];i=(g.x+g.width+y.x)/2,a=(t.topYs[l]+t.topYs[l+1]+t.height)/2;break}var b=t.parcatsViewModel.x+i,_=t.parcatsViewModel.y+a,T=c.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>\"),L=n.mouse(f)[0];o.loneHover({trace:h,x:b-d.left+v.left,y:_-d.top+v.top,text:E,color:t.model.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:10,fontColor:T,idealAlign:L<b?\"right\":\"left\",hovertemplate:(h.line||{}).hovertemplate,hovertemplateLabels:M,eventData:[{data:h._input,fullData:h,count:k,probability:A}]},{container:p._hoverlayer.node(),outerContainer:p._paper.node(),gd:f})}}}function y(t){if(!t.parcatsViewModel.dragDimension&&(_(n.select(this)),o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(v),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\"))){var e=m(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_unhover\",{points:e,event:n.event,constraints:r})}}function m(t){for(var e=[],r=D(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 b(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){var e=m(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_click\",{points:e,event:n.event,constraints:r})}}function _(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 c.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,m(t))}))}));var u={};u[a.dimensionInd]=a.categoryValue,o.emit(e,{points:l,event:r,constraints:u})}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,m(t))}));var u={};u[a.dimensionInd]=a.categoryValue,void 0!==i.rawColor&&(u.color=i.rawColor),o.emit(e,{points:l,event:r,constraints:u})}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\"),u=l.node().getBoundingClientRect(),c=l.datum(),f=c.parcatsViewModel,h=f.model.dimensions[c.model.dimensionInd],p=f.trace,d=u.top+u.height/2;f.dimensions.length>1&&h.displayInd===f.dimensions.length-1?(i=u.left,a=\"left\"):(i=u.left+u.width,a=\"right\");var v=c.model.count,g=c.model.categoryLabel,y=v/c.parcatsViewModel.model.count,m={countLabel:v,categoryLabel:g,probabilityLabel:y.toFixed(3)},x=[];-1!==c.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&x.push([\"Count:\",m.countLabel].join(\" \")),-1!==c.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&x.push([\"P(\"+m.categoryLabel+\"):\",m.probabilityLabel].join(\" \"));var b=x.join(\"<br>\");return{trace:p,x:o*(i-e.left),y:s*(d-e.top),text:b,color:\"lightgray\",borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:12,fontColor:\"black\",idealAlign:a,hovertemplate:p.hovertemplate,hovertemplateLabels:m,eventData:[{data:p._input,fullData:p,count:v,category:g,probability:y}]}}function L(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){if(n.mouse(this)[1]<-1)return;var e,r=t.parcatsViewModel.graphDiv,i=r._fullLayout,a=i._paperdiv.node().getBoundingClientRect(),l=t.parcatsViewModel.hoveron,u=this;\"color\"===l?(function(t){var e=n.select(t).datum(),r=A(e);w(r),r.each((function(){s.raiseToTop(this)})),n.select(t.parentNode).selectAll(\"rect.bandrect\").filter((function(t){return t.color===e.color})).each((function(){s.raiseToTop(this),n.select(this).attr(\"stroke\",\"black\").attr(\"stroke-width\",1.5)}))}(u),S(u,\"plotly_hover\",n.event)):(function(t){n.select(t.parentNode).selectAll(\"rect.bandrect\").each((function(t){var 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)}(u),M(u,\"plotly_hover\",n.event)),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\")&&(\"category\"===l?e=E(r,a,u):\"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(),u=n.select(r).datum(),f=u.categoryViewModel,h=f.parcatsViewModel,p=h.model.dimensions[f.model.dimensionInd],d=h.trace,v=l.y+l.height/2;h.dimensions.length>1&&p.displayInd===h.dimensions.length-1?(i=l.left,a=\"left\"):(i=l.left+l.width,a=\"right\");var g=f.model.categoryLabel,y=u.parcatsViewModel.model.count,m=0;u.categoryViewModel.bands.forEach((function(t){t.color===u.color&&(m+=t.count)}));var x=f.model.count,b=0;h.pathSelection.each((function(t){t.model.color===u.color&&(b+=t.model.count)}));var _=m/y,w=m/b,T=m/x,k={countLabel:y,categoryLabel:g,probabilityLabel:_.toFixed(3)},A=[];-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&A.push([\"Count:\",k.countLabel].join(\" \")),-1!==f.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=c.mostReadable(u.color,[\"black\",\"white\"]);return{trace:d,x:o*(i-e.left),y:s*(v-e.top),text:M,color:u.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:_,categorycount:x,colorcount:b,bandcolorcount:m}]}}(r,a,u):\"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,u)),e&&o.loneHover(e,{container:i._hoverlayer.node(),outerContainer:i._paper.node(),gd:r}))}}function C(t){var e=t.parcatsViewModel;e.dragDimension||(_(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(v),-1!==e.hoverinfoItems.indexOf(\"skip\"))||(\"color\"===t.parcatsViewModel.hoveron?S(this,\"plotly_unhover\",n.event):M(this,\"plotly_unhover\",n.event))}function P(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 O(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,u=a.categories,c=u[l-1],f=u[l+1];void 0!==c&&s<c.y+c.height/2&&(o.model.displayInd=c.model.displayInd,c.model.displayInd=l),void 0!==f&&s+o.height>f.y+f.height/2&&(o.model.displayInd=f.model.displayInd,f.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||\"freeform\"===t.parcatsViewModel.arrangement){a.model.dragX=n.event.x;var h=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[i];void 0!==h&&a.model.dragX<h.x+h.width&&(a.model.displayInd=h.model.displayInd,h.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),z(t.parcatsViewModel)}}function I(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll(\"text\").attr(\"font-weight\",\"normal\");var e={},r=D(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 u=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),c=u.map((function(t){return t.categoryValue})),f=u.map((function(t){return t.categoryLabel}));e[\"dimensions[\"+t.model.containerInd+\"].categoryarray\"]=[c],e[\"dimensions[\"+t.model.containerInd+\"].ticktext\"]=[f],e[\"dimensions[\"+t.model.containerInd+\"].categoryorder\"]=\"array\"}}-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")&&!t.dragHasMoved&&t.potentialClickBand&&(\"color\"===t.parcatsViewModel.hoveron?S(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent):M(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent)),t.model.dragX=null,null!==t.dragCategoryDisplayInd&&(t.parcatsViewModel.dimensions[t.dragDimensionDisplayInd].categories[t.dragCategoryDisplayInd].model.dragY=null,t.dragCategoryDisplayInd=null),t.dragDimensionDisplayInd=null,t.parcatsViewModel.dragDimension=null,t.dragHasMoved=null,t.potentialClickBand=null,j(t.parcatsViewModel),N(t.parcatsViewModel),n.transition().duration(300).ease(\"cubic-in-out\").each((function(){R(t.parcatsViewModel,!0),z(t.parcatsViewModel,!0)})).each(\"end\",(function(){(o||s)&&a.restyle(t.parcatsViewModel.graphDiv,e,[r])}))}}function D(t){for(var e,r=t.graphDiv._fullData,n=0;n<r.length;n++)if(t.key===r[n].uid){e=n;break}return e}function z(t,e){var r;void 0===e&&(e=!1),t.pathSelection.data((function(t){return t.paths}),p),(r=t.pathSelection,e?r.transition():r).attr(\"d\",(function(t){return t.svgD}))}function R(t,e){function r(t){return e?t.transition():t}void 0===e&&(e=!1),t.dimensionSelection.data((function(t){return t.dimensions}),p);var i=t.dimensionSelection.selectAll(\"g.category\").data((function(t){return t.categories}),p);r(t.dimensionSelection).attr(\"transform\",(function(t){return l(t.x,0)})),r(i).attr(\"transform\",(function(t){return l(0,t.y)})),i.select(\".dimlabel\").text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})),i.select(\".catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"x\",(function(t){return d(t)?t.width+5:-5})).each((function(t){var 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,u=e.height,c=Math.floor(l*(s.x[1]-s.x[0])),f=Math.floor(u*(s.y[1]-s.y[0])),h=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 v={trace:o,key:o.uid,model:i,x:h,y:p,width:c,height:f,hoveron:o.hoveron,hoverinfoItems:n,arrangement:o.arrangement,bundlecolors:o.bundlecolors,sortpaths:o.sortpaths,labelfont:o.labelfont,categorylabelfont:o.tickfont,pathShape:d,dragDimension:null,margin:a,paths:[],dimensions:[],graphDiv:t,traceSelection:null,pathSelection:null,dimensionSelection:null};return i.dimensions&&(j(v),N(v)),v}function B(t,e,r,n,a){var o,s,l=[],u=[];for(s=0;s<r.length-1;s++)o=i(r[s]+t[s],t[s+1]),l.push(o(a)),u.push(o(1-a));var c=\"M \"+t[0]+\",\"+e[0];for(c+=\"l\"+r[0]+\",0 \",s=1;s<r.length;s++)c+=\"C\"+l[s-1]+\",\"+e[s-1]+\" \"+u[s-1]+\",\"+e[s]+\" \"+t[s]+\",\"+e[s],c+=\"l\"+r[s]+\",0 \";for(c+=\"l0,\"+n+\" \",c+=\"l -\"+r[r.length-1]+\",0 \",s=r.length-2;s>=0;s--)c+=\"C\"+u[s]+\",\"+(e[s+1]+n)+\" \"+l[s]+\",\"+(e[s]+n)+\" \"+(t[s]+r[s])+\",\"+(e[s]+n),c+=\"l-\"+r[s]+\",0 \";return c+\"Z\"}function N(t){var e=t.dimensions,r=t.model,n=e.map((function(t){return t.categories.map((function(t){return t.y}))})),i=t.model.dimensions.map((function(t){return t.categories.map((function(t){return t.displayInd}))})),a=t.model.dimensions.map((function(t){return t.displayInd})),o=t.dimensions.map((function(t){return t.model.dimensionInd})),s=e.map((function(t){return t.x})),l=e.map((function(t){return t.width})),u=[];for(var c in r.paths)r.paths.hasOwnProperty(c)&&u.push(r.paths[c]);function f(t){var e=t.categoryInds.map((function(t,e){return i[e][t]}));return o.map((function(t){return e[t]}))}u.sort((function(e,r){var n=f(e),i=f(r);return\"backward\"===t.sortpaths&&(n.reverse(),i.reverse()),n.push(e.valueInds[0]),i.push(r.valueInds[0]),t.bundlecolors&&(n.unshift(e.rawColor),i.unshift(r.rawColor)),n<i?-1:n>i?1:0}));for(var h=new Array(u.length),p=e[0].model.count,d=e[0].categories.map((function(t){return t.height})).reduce((function(t,e){return t+e})),v=0;v<u.length;v++){var g,y=u[v];g=p>0?d*(y.count/p):0;for(var m,x=new Array(n.length),b=0;b<y.categoryInds.length;b++){var 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n=r(50693),i=r(13838),a=r(41940),o=r(27670).Y,s=r(1426).extendFlat,l=r(44467).templatedArray;t.exports={domain:o({name:\"parcoords\",trace:!0,editType:\"plot\"}),labelangle:{valType:\"angle\",dflt:0,editType:\"plot\"},labelside:{valType:\"enumerated\",values:[\"top\",\"bottom\"],dflt:\"top\",editType:\"plot\"},labelfont:a({editType:\"plot\"}),tickfont:a({editType:\"plot\"}),rangefont:a({editType:\"plot\"}),dimensions:l(\"dimension\",{label:{valType:\"string\",editType:\"plot\"},tickvals:s({},i.tickvals,{editType:\"plot\"}),ticktext:s({},i.ticktext,{editType:\"plot\"}),tickformat:s({},i.tickformat,{editType:\"plot\"}),visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},range:{valType:\"info_array\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},constraintrange:{valType:\"info_array\",freeLength:!0,dimensions:\"1-2\",items:[{valType:\"any\",editType:\"plot\"},{valType:\"any\",editType:\"plot\"}],editType:\"plot\"},multiselect:{valType:\"boolean\",dflt:!0,editType:\"plot\"},values:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"}),line:s({editType:\"calc\"},n(\"line\",{colorscaleDflt:\"Viridis\",autoColorDflt:!1,editTypeOverride:\"calc\"})),unselected:{line:{color:{valType:\"color\",dflt:\"#7f7f7f\",editType:\"plot\"},opacity:{valType:\"number\",min:0,max:1,dflt:\"auto\",editType:\"plot\"},editType:\"plot\"},editType:\"plot\"}}},57920: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,c);o(e,l,c),Array.isArray(v)&&v.length||(e.visible=!1),h(e,v,\"values\",g);var y={family:l.font.family,size:Math.round(l.font.size/1.2),color:l.font.color};n.coerceFont(c,\"labelfont\",y),n.coerceFont(c,\"tickfont\",y),n.coerceFont(c,\"rangefont\",y),c(\"labelangle\"),c(\"labelside\"),c(\"unselected.line.color\"),c(\"unselected.line.opacity\")}},1602:function(t,e,r){\"use strict\";var n=r(71828).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)}},67618:function(t,e,r){\"use strict\";var n=r(71791);n.plot=r(21341),t.exports=n},83398:function(t,e,r){\"use strict\";var n=r(56068),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nattribute vec4 p01_04, p05_08, p09_12, p13_16,\\n               p17_20, p21_24, p25_28, p29_32,\\n               p33_36, p37_40, p41_44, p45_48,\\n               p49_52, p53_56, p57_60, colors;\\n\\nuniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\\n             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\\n\\nuniform vec2 resolution, viewBoxPos, viewBoxSize;\\nuniform float maskHeight;\\nuniform float drwLayer; // 0: context, 1: focus, 2: pick\\nuniform vec4 contextColor;\\nuniform sampler2D maskTexture, palette;\\n\\nbool isPick    = (drwLayer > 1.5);\\nbool isContext = (drwLayer < 0.5);\\n\\nconst vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\\nconst vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\\n\\nfloat val(mat4 p, mat4 v) {\\n    return dot(matrixCompMult(p, v) * UNITS, UNITS);\\n}\\n\\nfloat axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\\n    float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\\n    return y1 * (1.0 - ratio) + y2 * ratio;\\n}\\n\\nint iMod(int a, int b) {\\n    return a - b * (a / b);\\n}\\n\\nbool fOutside(float p, float lo, float hi) {\\n    return (lo < hi) && (lo > p || p > hi);\\n}\\n\\nbool vOutside(vec4 p, vec4 lo, vec4 hi) {\\n    return (\\n        fOutside(p[0], lo[0], hi[0]) ||\\n        fOutside(p[1], lo[1], hi[1]) ||\\n        fOutside(p[2], lo[2], hi[2]) ||\\n        fOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool mOutside(mat4 p, mat4 lo, mat4 hi) {\\n    return (\\n        vOutside(p[0], lo[0], hi[0]) ||\\n        vOutside(p[1], lo[1], hi[1]) ||\\n        vOutside(p[2], lo[2], hi[2]) ||\\n        vOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    return mOutside(A, loA, hiA) ||\\n           mOutside(B, loB, hiB) ||\\n           mOutside(C, loC, hiC) ||\\n           mOutside(D, loD, hiD);\\n}\\n\\nbool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    mat4 pnts[4];\\n    pnts[0] = A;\\n    pnts[1] = B;\\n    pnts[2] = C;\\n    pnts[3] = D;\\n\\n    for(int i = 0; i < 4; ++i) {\\n        for(int j = 0; j < 4; ++j) {\\n            for(int k = 0; k < 4; ++k) {\\n                if(0 == iMod(\\n                    int(255.0 * texture2D(maskTexture,\\n                        vec2(\\n                            (float(i * 2 + j / 2) + 0.5) / 8.0,\\n                            (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\\n                        ))[3]\\n                    ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\\n                    2\\n                )) return true;\\n            }\\n        }\\n    }\\n    return false;\\n}\\n\\nvec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float x = 0.5 * sign(v) + 0.5;\\n    float y = axisY(x, A, B, C, D);\\n    float z = 1.0 - abs(v);\\n\\n    z += isContext ? 0.0 : 2.0 * float(\\n        outsideBoundingBox(A, B, C, D) ||\\n        outsideRasterMask(A, B, C, D)\\n    );\\n\\n    return vec4(\\n        2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\\n        z,\\n        1.0\\n    );\\n}\\n\\nvoid main() {\\n    mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\\n    mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\\n    mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\\n    mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\\n\\n    float v = colors[3];\\n\\n    gl_Position = position(isContext, v, A, B, C, D);\\n\\n    fragColor =\\n        isContext ? vec4(contextColor) :\\n        isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\\n}\\n\"]),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n    gl_FragColor = fragColor;\\n}\\n\"]),o=r(25706).maxDimensionCount,s=r(71828),l=1e-6,u=new Uint8Array(4),c=new Uint8Array(4),f={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 p(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:u})}(t),r.drawCompleted=!0),function s(l){var u=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*u,a.offset=2*l*n,e(a),l*n+u<i&&(r.currentRafs[o]=window.requestAnimationFrame((function(){s(l+1)}))),r.drawCompleted=!1)}(0)}function d(t,e){for(var r=new Array(256),n=0;n<256;n++)r[n]=t(n/255).concat(e);return r}function v(t,e){return(t>>>8*e)%256/255}function g(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 s=0;s<4;s++){var l=4*t+s,u=r[64*a+l];63===l&&0===o&&(u*=-1),n[i++]=u}return n}function y(t){var e=\"0\"+t;return e.substr(e.length-2)}function m(t){return t<o?\"p\"+y(t+1)+\"_\"+y(t+4):\"colors\"}function x(t,e,r,n,i,a,o,l,u,c,f,h,p,d){for(var v=[[],[]],g=0;g<64;g++)v[0][g]=g===i?1:0,v[1][g]=g===a?1:0;o*=d,l*=d,u*=d,c*=d;var y=t.lines.canvasOverdrag*d,m=t.domain,x=t.canvasWidth*d,b=t.canvasHeight*d,_=t.pad.l*d,w=t.pad.b*d,T=t.layoutHeight*d,k=t.layoutWidth*d,A=t.deselectedLines.color,M=t.deselectedLines.opacity;return s.extendFlat({key:f,resolution:[x,b],viewBoxPos:[o+y,l],viewBoxSize:[u,c],i0:i,i1:a,dim0A:v[0].slice(0,16),dim0B:v[0].slice(16,32),dim0C:v[0].slice(32,48),dim0D:v[0].slice(48,64),dim1A:v[1].slice(0,16),dim1B:v[1].slice(16,32),dim1C:v[1].slice(32,48),dim1D:v[1].slice(48,64),drwLayer:h,contextColor:[A[0]/255,A[1]/255,A[2]/255,\"auto\"!==M?A[3]*M:Math.max(1/255,Math.pow(1/t.lines.color.length,1/3))],scissorX:(n===e?0:o+y)+(_-y)+k*m.x[0],scissorWidth:(n===r?x-o+y:u+.5)+(n===e?o+y:0),scissorY:l+w+T*m.y[0],scissorHeight:c,viewportX:_-y+k*m.x[0],viewportY:w+T*m.y[0],viewportWidth:x,viewportHeight:b},p)}function b(t){var e=2047,r=Math.max(0,Math.floor(t[0]*e),0),n=Math.min(e,Math.ceil(t[1]*e),e);return[Math.min(r,n),Math.max(r,n)]}t.exports=function(t,e){var r,n,u,y,_,w=e.context,T=e.pick,k=e.regl,A=k._gl,M=A.getParameter(A.ALIASED_LINE_WIDTH_RANGE),S=Math.max(M[0],Math.min(M[1],e.viewModel.plotGlPixelRatio)),E={currentRafs:{},drawCompleted:!0,clearOnly:!1},L=function(t){for(var e={},r=0;r<=o;r+=4)e[m(r)]=t.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array(0)});return e}(k),C=k.texture(f),P=[];I(e);var O=k({profile:!1,blend:{enable:w,func:{srcRGB:\"src alpha\",dstRGB:\"one minus src 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I(t){r=t.model,n=t.viewModel,u=n.dimensions.slice(),y=u[0]?u[0].values.length:0;var e=r.lines,i=T?e.color.map((function(t,r){return r/e.color.length})):e.color,a=function(t,e,r){for(var n,i=new Array(t*(o+4)),a=0,s=0;s<t;s++){for(var u=0;u<o;u++)i[a++]=u<e.length?e[u].paddedUnitValues[s]:.5;i[a++]=v(s,2),i[a++]=v(s,1),i[a++]=v(s,0),i[a++]=(n=r[s],Math.max(l,Math.min(.999999,n)))}return i}(y,u,i);!function(t,e,r){for(var n=0;n<=o;n+=4)t[m(n)](g(n/4,e,r))}(L,y,a),w||T||(C=k.texture(s.extendFlat({data:d(r.unitToColor,255)},f)))}return{render:function(t,e,n){var i,a,o,s=t.length,l=1/0,c=-1/0;for(i=0;i<s;i++)t[i].dim0.canvasX<l&&(l=t[i].dim0.canvasX,a=i),t[i].dim1.canvasX>c&&(c=t[i].dim1.canvasX,o=i);0===s&&h(k,0,0,r.canvasWidth,r.canvasHeight);var f=function(t){var e,r,n,i=[[],[]];for(n=0;n<64;n++){var a=!t&&n<u.length?u[n].brush.filter.getBounds():[-1/0,1/0];i[0][n]=a[0],i[1][n]=a[1]}var o=new Array(16384);for(e=0;e<16384;e++)o[e]=255;if(!t)for(e=0;e<u.length;e++){var s=e%8,l=(e-s)/8,c=Math.pow(2,s),f=u[e].brush.filter.get();if(!(f.length<2)){var h=b(f[0])[1];for(r=1;r<f.length;r++){var p=b(f[r]);for(n=h+1;n<p[0];n++)o[8*n+l]&=~c;h=Math.max(h,p[1])}}}var d={shape:[8,2048],format:\"alpha\",type:\"uint8\",mag:\"nearest\",min:\"nearest\",data:o};return _?_(d):_=k.texture(d),{maskTexture:_,maskHeight:2048,loA:i[0].slice(0,16),loB:i[0].slice(16,32),loC:i[0].slice(32,48),loD:i[0].slice(48,64),hiA:i[1].slice(0,16),hiB:i[1].slice(16,32),hiC:i[1].slice(32,48),hiD:i[1].slice(48,64)}}(w);for(i=0;i<s;i++){var d=t[i],v=d.dim0.crossfilterDimensionIndex,g=d.dim1.crossfilterDimensionIndex,m=d.canvasX,A=d.canvasY,M=m+d.panelSizeX,S=d.plotGlPixelRatio;if(e||!P[v]||P[v][0]!==m||P[v][1]!==M){P[v]=[m,M];var L=x(r,a,o,i,v,g,m,A,d.panelSizeX,d.panelSizeY,d.dim0.crossfilterDimensionIndex,w?0:T?2:1,f,S);E.clearOnly=n;var C=e?r.lines.blockLineCount:y;p(k,O,E,C,y,L)}}},readPixel:function(t,e){return k.read({x:t,y:e,width:1,height:1,data:c}),c},readPixels:function(t,e,r,n){var i=new Uint8Array(4*r*n);return k.read({x:t,y:e,width:r,height:n,data:i}),i},destroy:function(){for(var e in t.style[\"pointer-events\"]=\"none\",C.destroy(),_&&_.destroy(),L)L[e].destroy()},update:I}}},94397:function(t){\"use strict\";t.exports=function(t,e,r,n){var i,a;for(n||(n=1/0),i=0;i<e.length;i++)(a=e[i]).visible&&(n=Math.min(n,a[r].length));for(n===1/0&&(n=0),t._length=n,i=0;i<e.length;i++)(a=e[i]).visible&&(a._length=n);return n}},17171:function(t,e,r){\"use strict\";var n=r(39898),i=r(71828),a=i.numberFormat,o=r(36652),s=r(89298),l=i.strRotate,u=i.strTranslate,c=r(63893),f=r(91424),h=r(21081),p=r(28984),d=p.keyFun,v=p.repeat,g=p.unwrap,y=r(1602),m=r(25706),x=r(57920),b=r(83398);function _(t,e,r){return i.aggNums(t,null,e,r)}function w(t,e){return k(_(Math.min,t,e),_(Math.max,t,e))}function T(t){var e=t.range;return e?k(e[0],e[1]):w(t.values,t._length)}function k(t,e){return!isNaN(t)&&isFinite(t)||(t=0),!isNaN(e)&&isFinite(e)||(e=0),t===e&&(0===t?(t-=1,e+=1):(t*=.9,e*=1.1)),[t,e]}function A(t,e,r,i,o){var s,l,u=T(r);return i?n.scale.ordinal().domain(i.map((s=a(r.tickformat),l=o,l?function(t,e){var r=l[e];return null==r?s(t):r}:s))).range(i.map((function(r){var n=(r-u[0])/(u[1]-u[0]);return t-e+n*(2*e-t)}))):n.scale.linear().domain(u).range([t-e,e])}function M(t){if(t.tickvals){var e=T(t);return n.scale.ordinal().domain(t.tickvals).range(t.tickvals.map((function(t){return(t-e[0])/(e[1]-e[0])})))}}function S(t){var e=t.map((function(t){return t[0]})),r=t.map((function(t){var e=o(t[1]);return n.rgb(\"rgb(\"+e[0]+\",\"+e[1]+\",\"+e[2]+\")\")})),i=\"rgb\".split(\"\").map((function(t){return n.scale.linear().clamp(!0).domain(e).range(r.map((i=t,function(t){return t[i]})));var i}));return function(t){return i.map((function(e){return e(t)}))}}function E(t){return t.dimensions.some((function(t){return t.brush.filterSpecified}))}function L(t,e,r){var a=g(e),s=a.trace,l=y.convertTypedArray(a.lineColor),u=s.line,c={color:o(s.unselected.line.color),opacity:s.unselected.line.opacity},f=h.extractOpts(u),p=f.reversescale?h.flipScale(a.cscale):a.cscale,d=s.domain,v=s.dimensions,x=t.width,b=s.labelangle,_=s.labelside,w=s.labelfont,k=s.tickfont,A=s.rangefont,M=i.extendDeepNoArrays({},u,{color:l.map(n.scale.linear().domain(T({values:l,range:[f.min,f.max],_length:s._length}))),blockLineCount:m.blockLineCount,canvasOverdrag:m.overdrag*m.canvasPixelRatio}),E=Math.floor(x*(d.x[1]-d.x[0])),L=Math.floor(t.height*(d.y[1]-d.y[0])),C=t.margin||{l:80,r:80,t:100,b:80},P=E,O=L;return{key:r,colCount:v.filter(y.isVisible).length,dimensions:v,tickDistance:m.tickDistance,unitToColor:S(p),lines:M,deselectedLines:c,labelAngle:b,labelSide:_,labelFont:w,tickFont:k,rangeFont:A,layoutWidth:x,layoutHeight:t.height,domain:d,translateX:d.x[0]*x,translateY:t.height-d.y[1]*t.height,pad:C,canvasWidth:P*m.canvasPixelRatio+2*M.canvasOverdrag,canvasHeight:O*m.canvasPixelRatio,width:P,height:O,canvasPixelRatio:m.canvasPixelRatio}}function C(t,e,r){var o=r.width,s=r.height,l=r.dimensions,u=r.canvasPixelRatio,c=function(t){return o*t/Math.max(1,r.colCount-1)},f=m.verticalPadding/s,h=function(t,e){return n.scale.linear().range([e,t-e])}(s,m.verticalPadding),p={key:r.key,xScale:c,model:r,inBrushDrag:!1},d={};return p.dimensions=l.filter(y.isVisible).map((function(o,l){var v=function(t,e){return n.scale.linear().domain(T(t)).range([e,1-e])}(o,f),g=d[o.label];d[o.label]=(g||0)+1;var b=o.label+(g?\"__\"+g:\"\"),_=o.constraintrange,w=_&&_.length;w&&!Array.isArray(_[0])&&(_=[_]);var k=w?_.map((function(t){return t.map(v)})):[[-1/0,1/0]],S=o.values;S.length>o._length&&(S=S.slice(0,o._length));var L,C=o.tickvals;function P(t,e){return{val:t,text:L[e]}}function O(t,e){return t.val-e.val}if(Array.isArray(C)&&C.length){L=o.ticktext,Array.isArray(L)&&L.length?L.length>C.length?L=L.slice(0,C.length):C.length>L.length&&(C=C.slice(0,L.length)):L=C.map(a(o.tickformat));for(var I=1;I<C.length;I++)if(C[I]<C[I-1]){for(var D=C.map(P).sort(O),z=0;z<C.length;z++)C[z]=D[z].val,L[z]=D[z].text;break}}else C=void 0;return S=y.convertTypedArray(S),{key:b,label:o.label,tickFormat:o.tickformat,tickvals:C,ticktext:L,ordinal:y.isOrdinal(o),multiselect:o.multiselect,xIndex:l,crossfilterDimensionIndex:l,visibleIndex:o._index,height:s,values:S,paddedUnitValues:S.map(v),unitTickvals:C&&C.map(v),xScale:c,x:c(l),canvasX:c(l)*u,unitToPaddedPx:h,domainScale:A(s,m.verticalPadding,o,C,L),ordinalScale:M(o),parent:p,model:r,brush:x.makeBrush(t,w,k,(function(){t.linePickActive(!1)}),(function(){var e=p;e.focusLayer&&e.focusLayer.render(e.panels,!0);var r=E(e);!t.contextShown()&&r?(e.contextLayer&&e.contextLayer.render(e.panels,!0),t.contextShown(!0)):t.contextShown()&&!r&&(e.contextLayer&&e.contextLayer.render(e.panels,!0,!0),t.contextShown(!1))}),(function(r){if(p.focusLayer.render(p.panels,!0),p.pickLayer&&p.pickLayer.render(p.panels,!0),t.linePickActive(!0),e&&e.filterChanged){var n=v.invert,a=r.map((function(t){return t.map(n).sort(i.sorterAsc)})).sort((function(t,e){return t[0]-e[0]}));e.filterChanged(p.key,o._index,a)}}))}})),p}function P(t){t.classed(m.cn.axisExtentText,!0).attr(\"text-anchor\",\"middle\").style(\"cursor\",\"default\")}function O(t,e){var r=\"top\"===e?1:-1,n=t*Math.PI/180;return{dir:r,dx:Math.sin(n),dy:Math.cos(n),degrees:t}}function I(t,e,r){for(var n=e.panels||(e.panels=[]),i=t.data(),a=0;a<i.length-1;a++){var o=n[a]||(n[a]={}),s=i[a],l=i[a+1];o.dim0=s,o.dim1=l,o.canvasX=s.canvasX,o.panelSizeX=l.canvasX-s.canvasX,o.panelSizeY=e.model.canvasHeight,o.y=0,o.canvasY=0,o.plotGlPixelRatio=r}}function D(t,e){return s.tickText(t._ax,e,!1).text}function z(t,e){if(t.ordinal)return\"\";var r=t.domainScale.domain(),n=r[e?r.length-1:0];return D(t.model.dimensions[t.visibleIndex],n)}t.exports=function(t,e,r,a){var o=t._context.staticPlot,h=t._fullLayout,p=h._toppaper,_=h._glcontainer,T=t._context.plotGlPixelRatio,A=t._fullLayout.paper_bgcolor;!function(t){for(var e=0;e<t.length;e++)for(var r=0;r<t[e].length;r++)for(var n=t[e][r].trace,i=n.dimensions,a=0;a<i.length;a++){var o=i[a].values,l=i[a]._ax;l&&(l.range?l.range=k(l.range[0],l.range[1]):l.range=w(o,n._length),l.dtick||(l.dtick=.01*(Math.abs(l.range[1]-l.range[0])||1)),l.tickformat=i[a].tickformat,s.calcTicks(l),l.cleanRange())}}(e);var M,S,R=(M=!0,S=!1,{linePickActive:function(t){return arguments.length?M=!!t:M},contextShown:function(t){return arguments.length?S=!!t:S}}),F=e.filter((function(t){return g(t).trace.visible})).map(L.bind(0,r)).map(C.bind(0,R,a));_.each((function(t,e){return i.extendFlat(t,F[e])}));var B=_.selectAll(\".gl-canvas\").each((function(t){t.viewModel=F[0],t.viewModel.plotGlPixelRatio=T,t.viewModel.paperColor=A,t.model=t.viewModel?t.viewModel.model:null})),N=null;B.filter((function(t){return t.pick})).style(\"pointer-events\",o?\"none\":\"auto\").on(\"mousemove\",(function(t){if(R.linePickActive()&&t.lineLayer&&a&&a.hover){var e=n.event,r=this.width,i=this.height,o=n.mouse(this),s=o[0],l=o[1];if(s<0||l<0||s>=r||l>=i)return;var u=t.lineLayer.readPixel(s,i-1-l),c=0!==u[3],f=c?u[2]+256*(u[1]+256*u[0]):null,h={x:s,y:l,clientX:e.clientX,clientY:e.clientY,dataIndex:t.model.key,curveNumber:f};f!==N&&(c?a.hover(h):a.unhover&&a.unhover(h),N=f)}})),B.style(\"opacity\",(function(t){return t.pick?0:1})),p.style(\"background\",\"rgba(255, 255, 255, 0)\");var j=p.selectAll(\".\"+m.cn.parcoords).data(F,d);j.exit().remove(),j.enter().append(\"g\").classed(m.cn.parcoords,!0).style(\"shape-rendering\",\"crispEdges\").style(\"pointer-events\",\"none\"),j.attr(\"transform\",(function(t){return u(t.model.translateX,t.model.translateY)}));var U=j.selectAll(\".\"+m.cn.parcoordsControlView).data(v,d);U.enter().append(\"g\").classed(m.cn.parcoordsControlView,!0),U.attr(\"transform\",(function(t){return u(t.model.pad.l,t.model.pad.t)}));var V=U.selectAll(\".\"+m.cn.yAxis).data((function(t){return 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e=t.model.height/t.model.tickDistance,r=t.domainScale,i=r.domain();n.select(this).call(n.svg.axis().orient(\"left\").tickSize(4).outerTickSize(2).ticks(e,t.tickFormat).tickValues(t.ordinal?i:null).tickFormat((function(e){return y.isOrdinal(t)?e:D(t.model.dimensions[t.visibleIndex],e)})).scale(r)),f.font(q.selectAll(\"text\"),t.model.tickFont)})),q.selectAll(\".domain, .tick>line\").attr(\"fill\",\"none\").attr(\"stroke\",\"black\").attr(\"stroke-opacity\",.25).attr(\"stroke-width\",\"1px\"),q.selectAll(\"text\").style(\"text-shadow\",c.makeTextShadow(A)).style(\"cursor\",\"default\");var G=H.selectAll(\".\"+m.cn.axisHeading).data(v,d);G.enter().append(\"g\").classed(m.cn.axisHeading,!0);var Z=G.selectAll(\".\"+m.cn.axisTitle).data(v,d);Z.enter().append(\"text\").classed(m.cn.axisTitle,!0).attr(\"text-anchor\",\"middle\").style(\"cursor\",\"ew-resize\").style(\"pointer-events\",o?\"none\":\"auto\"),Z.text((function(t){return t.label})).each((function(e){var 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J=Y.selectAll(\".\"+m.cn.axisExtentBottom).data(v,d);J.enter().append(\"g\").classed(m.cn.axisExtentBottom,!0),J.attr(\"transform\",(function(t){return u(0,t.model.height+m.axisExtentOffset)}));var K=J.selectAll(\".\"+m.cn.axisExtentBottomText).data(v,d);K.enter().append(\"text\").classed(m.cn.axisExtentBottomText,!0).attr(\"dy\",\"0.75em\").call(P),K.text((function(t){return z(t,!1)})).each((function(t){f.font(n.select(this),t.model.rangeFont)})),x.ensureAxisBrush(H,A,t)}},21341:function(t,e,r){\"use strict\";var n=r(17171),i=r(79749),a=r(1602).isVisible,o={};function s(t,e,r){var n=e.indexOf(r),i=t.indexOf(n);return-1===i&&(i+=e.length),i}(t.exports=function(t,e){var r=t._fullLayout;if(i(t,[],o)){var l={},u={},c={},f={},h=r._size;e.forEach((function(e,r){var n=e[0].trace;c[r]=n.index;var i=f[r]=n._fullInput.index;l[r]=t.data[i].dimensions,u[r]=t.data[i].dimensions.slice()})),n(t,e,{width:h.w,height:h.h,margin:{t:h.t,r:h.r,b:h.b,l:h.l}},{filterChanged:function(e,n,i){var a=u[e][n],o=i.map((function(t){return t.slice()})),s=\"dimensions[\"+n+\"].constraintrange\",l=r._tracePreGUI[t._fullData[c[e]]._fullInput.uid];if(void 0===l[s]){var h=a.constraintrange;l[s]=h||null}var p=t._fullData[c[e]].dimensions[n];o.length?(1===o.length&&(o=o[0]),a.constraintrange=o,p.constraintrange=o.slice(),o=[o]):(delete a.constraintrange,delete p.constraintrange,o=null);var d={};d[s]=o,t.emit(\"plotly_restyle\",[d,[f[e]]])},hover:function(e){t.emit(\"plotly_hover\",e)},unhover:function(e){t.emit(\"plotly_unhover\",e)},axesMoved:function(e,r){var n=function(t,e){return function(r,n){return s(t,e,r)-s(t,e,n)}}(r,u[e].filter(a));l[e].sort(n),u[e].filter((function(t){return!a(t)})).sort((function(t){return u[e].indexOf(t)})).forEach((function(t){l[e].splice(l[e].indexOf(t),1),l[e].splice(u[e].indexOf(t),0,t)})),t.emit(\"plotly_restyle\",[{dimensions:[l[e]]},[f[e]]])}})}}).reglPrecompiled=o},34e3:function(t,e,r){\"use strict\";var n=r(9012),i=r(27670).Y,a=r(41940),o=r(22399),s=r(5386).fF,l=r(5386).si,u=r(1426).extendFlat,c=r(79952).u,f=a({editType:\"plot\",arrayOk:!0,colorEditType:\"plot\"});t.exports={labels:{valType:\"data_array\",editType:\"calc\"},label0:{valType:\"number\",dflt:0,editType:\"calc\"},dlabel:{valType:\"number\",dflt:1,editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},marker:{colors:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:o.defaultLine,arrayOk:!0,editType:\"style\"},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},pattern:c,editType:\"calc\"},text:{valType:\"data_array\",editType:\"plot\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"style\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"percent\"],extras:[\"none\"],editType:\"calc\"},hoverinfo:u({},n.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:s({},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),texttemplate:l({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0,editType:\"plot\"},textfont:u({},f,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:u({},f,{}),outsidetextfont:u({},f,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:u({},f,{}),position:{valType:\"enumerated\",values:[\"top 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n=r(74875);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)}},32354:function(t,e,r){\"use strict\";var n=r(92770),i=r(84267),a=r(7901),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||[],u=e.labels,c=e.marker.colors||[],f=e.values,h=e._length,p=e._hasValues&&h;if(e.dlabel)for(u=new Array(h),r=0;r<h;r++)u[r]=String(e.label0+r*e.dlabel);var d={},v=s(o[\"_\"+e.type+\"colormap\"]),g=0,y=!1;for(r=0;r<h;r++){var m,x,b;if(p){if(m=f[r],!n(m))continue;m=+m}else m=1;void 0!==(x=u[r])&&\"\"!==x||(x=r);var _=d[x=String(x)];void 0===_?(d[x]=a.length,(b=-1!==l.indexOf(x))||(g+=m),a.push({v:m,label:x,color:v(c[r],x),i:r,pts:[r],hidden:b})):(y=!0,(i=a[_]).v+=m,i.pts.push(r),i.hidden||(g+=m),!1===i.color&&c[r]&&(i.color=v(c[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 u=0,c=0;c<i.length;c++){var f=i[c];if(f[0].trace.type===r)for(var h=0;h<f.length;h++){var p=f[h];!1===p.color&&(s[p.label]?p.color=s[p.label]:(s[p.label]=p.color=a[u%a.length],u++))}}},makePullColorFn:s,generateExtendedColors:l}},37434:function(t,e,r){\"use strict\";var n=r(92770),i=r(71828),a=r(34e3),o=r(27670).c,s=r(90769).handleText,l=r(71828).coercePattern;function u(t,e){var r=Array.isArray(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 u=e[l];if(n(u)&&u>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}function c(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:u,handleMarkerDefaults:c,supplyDefaults:function(t,e,r,n){function l(r,n){return i.coerce(t,e,a,r,n)}var f=u(l(\"labels\"),l(\"values\")),h=f.len;if(e._hasLabels=f.hasLabels,e._hasValues=f.hasValues,!e._hasLabels&&e._hasValues&&(l(\"label0\"),l(\"dlabel\")),h){e._length=h,c(t,e,n,l,!0),l(\"scalegroup\");var p,d=l(\"text\"),v=l(\"texttemplate\");if(v||(p=l(\"textinfo\",Array.isArray(d)?\"text+percent\":\"percent\")),l(\"hovertext\"),l(\"hovertemplate\"),v||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\")}o(e,n,l);var y=l(\"hole\");if(l(\"title.text\")){var m=l(\"title.position\",y?\"middle center\":\"top center\");y||\"middle center\"!==m||(e.title.position=\"top center\"),i.coerceFont(l,\"title.font\",n.font)}l(\"sort\"),l(\"direction\"),l(\"rotation\"),l(\"pull\")}else e.visible=!1}}},20007:function(t,e,r){\"use strict\";var n=r(23469).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}},22209:function(t,e,r){\"use strict\";var n=r(91424),i=r(7901);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)}},53581:function(t,e,r){\"use strict\";var n=r(71828);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(Array.isArray(t))for(var r=0;r<e.length;r++){var n=t[e[r]];if(n||0===n||\"\"===n)return n}},e.castOption=function(t,r){return Array.isArray(t)?e.getFirstFilled(t,r):t||void 0},e.getRotationAngle=function(t){return(\"auto\"===t?0:t)*Math.PI/180}},58810:function(t,e,r){\"use strict\";t.exports={attributes:r(34e3),supplyDefaults:r(37434).supplyDefaults,supplyLayoutDefaults:r(92097),layoutAttributes:r(92774),calc:r(32354).calc,crossTraceCalc:r(32354).crossTraceCalc,plot:r(14575).plot,style:r(68357),styleOne:r(63463),moduleType:\"trace\",name:\"pie\",basePlotModule:r(13584),categories:[\"pie-like\",\"pie\",\"showLegend\"],meta:{}}},92774:function(t){\"use strict\";t.exports={hiddenlabels:{valType:\"data_array\",editType:\"calc\"},piecolorway:{valType:\"colorlist\",editType:\"calc\"},extendpiecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},92097:function(t,e,r){\"use strict\";var n=r(71828),i=r(92774);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\")}},14575:function(t,e,r){\"use strict\";var n=r(39898),i=r(74875),a=r(30211),o=r(7901),s=r(91424),l=r(71828),u=l.strScale,c=l.strTranslate,f=r(63893),h=r(72597),p=h.recordMinTextSize,d=h.clearMinTextSize,v=r(97313).TEXTPAD,g=r(53581),y=r(20007),m=r(71828).isValidTextValue;function x(t,e,r){var i=r[0],o=i.cx,s=i.cy,u=i.trace,c=\"funnelarea\"===u.type;\"_hasHoverLabel\"in u||(u._hasHoverLabel=!1),\"_hasHoverEvent\"in u||(u._hasHoverEvent=!1),t.on(\"mouseover\",(function(t){var r=e._fullLayout,f=e._fullData[u.index];if(!e._dragging&&!1!==r.hovermode){var h=f.hoverinfo;if(Array.isArray(h)&&(h=a.castHoverinfo({hoverinfo:[g.castOption(h,t.pts)],_module:u._module},r,0)),\"all\"===h&&(h=\"label+text+value+percent+name\"),f.hovertemplate||\"none\"!==h&&\"skip\"!==h&&h){var p=t.rInscribed||0,d=o+t.pxmid[0]*(1-p),v=s+t.pxmid[1]*(1-p),m=r.separators,x=[];if(h&&-1!==h.indexOf(\"label\")&&x.push(t.label),t.text=g.castOption(f.hovertext||f.text,t.pts),h&&-1!==h.indexOf(\"text\")){var b=t.text;l.isValidTextValue(b)&&x.push(b)}t.value=t.v,t.valueLabel=g.formatPieValue(t.v,m),h&&-1!==h.indexOf(\"value\")&&x.push(t.valueLabel),t.percent=t.v/i.vTotal,t.percentLabel=g.formatPiePercent(t.percent,m),h&&-1!==h.indexOf(\"percent\")&&x.push(t.percentLabel);var _=f.hoverlabel,w=_.font,T=[];a.loneHover({trace:u,x0:d-p*i.r,x1:d+p*i.r,y:v,_x0:c?o+t.TL[0]:d-p*i.r,_x1:c?o+t.TR[0]:d+p*i.r,_y0:c?s+t.TL[1]:v-p*i.r,_y1:c?s+t.BL[1]:v+p*i.r,text:x.join(\"<br>\"),name:f.hovertemplate||-1!==h.indexOf(\"name\")?f.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:g.castOption(_.bgcolor,t.pts)||t.color,borderColor:g.castOption(_.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(_.namelength,t.pts),textAlign:g.castOption(_.align,t.pts),hovertemplate:g.castOption(f.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[y(t,f)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],u._hasHoverLabel=!0}u._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[y(t,f)],event:n.event})}})),t.on(\"mouseout\",(function(t){var r=e._fullLayout,i=e._fullData[u.index],o=n.select(this).datum();u._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[y(o,i)],event:n.event}),u._hasHoverEvent=!1),u._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),u._hasHoverLabel=!1)})),t.on(\"click\",(function(t){var r=e._fullLayout,i=e._fullData[u.index];e._dragging||!1===r.hovermode||(e._hoverdata=[y(t,i)],a.click(e,n.event))}))}function b(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;return{color:n||o.contrast(e.color),family:i,size:a}}function _(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(f.convertToTspans,e),u=s.bBox(o.node(),!0);r.titleBox={width:u.width,height:u.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,u=e.midangle,c=r.trace.insidetextorientation,f=\"horizontal\"===c,h=\"tangential\"===c,p=\"radial\"===c,d=\"auto\"===c,v=[];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),u=s<l?s:l;(a=\"tan\"===i?k(t,n,o,u,0):T(t,n,o,u,Math.PI/2)).textPosAngle=r,v.push(a)}};if(f||h){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(f||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||f){var m=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/m,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;v.push(a)}(d||p)&&((a=T(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a)),(d||h)&&((a=k(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a));for(var x=0,b=0,_=0;_<v.length;_++){var w=v[_].scale;if(b<w&&(b=w,x=_),!d&&b>=1)break}return v[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*v);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*v);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 L(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 C(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=O(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,u=t.r/(void 0===(l=t.trace.aspectratio)?1:l),c=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf(\"left\")?(c+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf(\"center\")?c*=2:-1!==a.title.position.indexOf(\"right\")&&(c+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=c/t.titleBox.width,n=P(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function P(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 O(t){var e,r=t.pull;if(!r)return 0;if(Array.isArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function I(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-=P(i,e));var u=s/2,c=l/2;\"funnelarea\"!==a.type||a.scalegroup||(c/=a.aspectratio),i.r=Math.min(u,c)/(1+O(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-=P(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 u,c;i.aspectratio>1?c=(u=r.r)/i.aspectratio:u=(c=r.r)*i.aspectratio,l=(u*=(1+i.baseratio)/2)*c}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if((i=(r=t[n][0]).trace).scalegroup===s){var f=o*r.vTotal;\"funnelarea\"===i.type&&(f/=(1+i.baseratio)/2,f/=i.aspectratio),r.r=Math.sqrt(f)}}}(t,r)}function D(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function z(t,e,r){var n=t._fullLayout,i=r.trace,a=i.texttemplate,o=i.textinfo;if(!a&&o&&\"none\"!==o){var s,u=o.split(\"+\"),c=function(t){return-1!==u.indexOf(t)},f=c(\"label\"),h=c(\"text\"),p=c(\"value\"),d=c(\"percent\"),v=n.separators;if(s=f?[e.label]:[],h){var y=g.getFirstFilled(i.text,e.pts);m(y)&&s.push(y)}p&&s.push(g.formatPieValue(e.v,v)),d&&s.push(g.formatPiePercent(e.v/r.vTotal,v)),e.text=s.join(\"<br>\")}if(a){var x=l.castOption(i,e.i,\"texttemplate\");if(x){var b=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),_=g.getFirstFilled(i.text,e.pts);(m(_)||\"\"===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,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,h=a._size;d(\"pie\",a),_(e,t),I(e,h);var v=l.makeTraceGroups(a._pielayer,e,\"trace\").each((function(e){var d=n.select(this),v=e[0],y=v.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,u=\"px0\",c=\"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,u=\"px1\",c=\"px0\"}for(n=D(a,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[u]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=D(a,s),r.midangle=s,n=D(a,s+=l*r.v/2),r.stopangle=s,r[c]=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 m=n.select(this).selectAll(\"g.slice\").data(e);m.enter().append(\"g\").classed(\"slice\",!0),m.exit().remove();var _=[[[],[]],[[],[]]],T=!1;m.each((function(i,o){if(i.hidden)n.select(this).selectAll(\"path,g\").remove();else{i.pointNumber=i.i,i.curveNumber=y.index,_[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var u=v.cx,c=v.cy,h=n.select(this),d=h.selectAll(\"path.surface\").data([i]);if(d.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":r?\"none\":\"all\"}),h.call(x,t,e),y.pull){var m=+g.castOption(y.pull,i.pts)||0;m>0&&(u+=m*i.pxmid[0],c+=m*i.pxmid[1])}i.cxFinal=u,i.cyFinal=c;var k=y.hole;if(i.v===v.vTotal){var A=\"M\"+(u+i.px0[0])+\",\"+(c+i.px0[1])+P(i.px0,i.pxmid,!0,1)+P(i.pxmid,i.px0,!0,1)+\"Z\";k?d.attr(\"d\",\"M\"+(u+k*i.px0[0])+\",\"+(c+k*i.px0[1])+P(i.px0,i.pxmid,!1,k)+P(i.pxmid,i.px0,!1,k)+\"Z\"+A):d.attr(\"d\",A)}else{var M=P(i.px0,i.px1,!0,1);if(k){var S=1-k;d.attr(\"d\",\"M\"+(u+k*i.px1[0])+\",\"+(c+k*i.px1[1])+P(i.px1,i.px0,!1,k)+\"l\"+S*i.px0[0]+\",\"+S*i.px0[1]+M+\"Z\")}else d.attr(\"d\",\"M\"+u+\",\"+c+\"l\"+i.px0[0]+\",\"+i.px0[1]+M+\"Z\")}z(t,i,v);var E=g.castOption(y.textposition,i.pts),C=h.selectAll(\"g.slicetext\").data(i.text&&\"none\"!==E?[0]:[]);C.enter().append(\"g\").classed(\"slicetext\",!0),C.exit().remove(),C.each((function(){var r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),h=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}}(y,i,a.font):b(y,i,a.font));r.text(i.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,h).call(f.convertToTspans,t);var d,m=s.bBox(r.node());if(\"outside\"===E)d=L(m,i);else if(d=w(m,i,v),\"auto\"===E&&d.scale<1){var x=l.ensureUniformFontSize(t,y.outsidetextfont);r.call(s.font,x),d=L(m=s.bBox(r.node()),i)}var _=d.textPosAngle,k=void 0===_?i.pxmid:D(v.r,_);if(d.targetX=u+k[0]*d.rCenter+(d.x||0),d.targetY=c+k[1]*d.rCenter+(d.y||0),R(d,m),d.outside){var A=d.targetY;i.yLabelMin=A-m.height/2,i.yLabelMid=A,i.yLabelMax=A+m.height/2,i.labelExtraX=0,i.labelExtraY=0,T=!0}d.fontSize=h.size,p(y.type,d,a),e[o].transform=d,l.setTransormAndDisplay(r,d)}))}function P(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*v.r+\",\"+n*v.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(f.convertToTspans,t),e=\"middle center\"===y.title.position?function(t){var 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t.link.label===i})).style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})),r&&h(e,t).selectAll(u.sankeyNode).filter(g(t)).call(m)}function _(t,e){var r=t.hoverlabel||{},n=i.nestedProperty(r,e).get();return!Array.isArray(n)&&n}t.exports=function(t,e){for(var r=t._fullLayout,i=r._paper,h=r._size,v=0;v<t._fullData.length;v++)if(t._fullData[v].visible&&t._fullData[v].type===u.sankey&&!t._fullData[v]._viewInitial){var g=t._fullData[v].node;t._fullData[v]._viewInitial={node:{groups:g.groups.slice(),x:g.x.slice(),y:g.y.slice()}}}var w=c(t,\"source:\")+\" \",T=c(t,\"target:\")+\" \",k=c(t,\"concentration:\")+\" \",A=c(t,\"incoming flow count:\")+\" \",M=c(t,\"outgoing flow count:\")+\" \";o(t,i,e,{width:h.w,height:h.h,margin:{t:h.t,r:h.r,b:h.b,l:h.l}},{linkEvents:{hover:function(e,r,i){!1!==t._fullLayout.hovermode&&(n.select(e).call(x.bind(0,r,i,!0)),\"skip\"!==r.link.trace.link.hoverinfo&&(r.link.fullData=r.link.trace,t.emit(\"plotly_hover\",{event:n.event,points:[r.link]})))},follow:function(e,i){if(!1!==t._fullLayout.hovermode){var o=i.link.trace.link;if(\"none\"!==o.hoverinfo&&\"skip\"!==o.hoverinfo){for(var u=[],c=0,h=0;h<i.flow.links.length;h++){var v=i.flow.links[h];if(\"closest\"!==t._fullLayout.hovermode||i.link.pointNumber===v.pointNumber){i.link.pointNumber===v.pointNumber&&(c=h),v.fullData=v.trace,o=i.link.trace.link;var g=m(v),y={valueLabel:a(i.valueFormat)(v.value)+i.valueSuffix};u.push({x:g[0],y:g[1],name:y.valueLabel,text:[v.label||\"\",w+v.source.label,T+v.target.label,v.concentrationscale?k+a(\"%0.2f\")(v.flow.labelConcentration):\"\"].filter(f).join(\"<br>\"),color:_(o,\"bgcolor\")||l.addOpacity(v.color,1),borderColor:_(o,\"bordercolor\"),fontFamily:_(o,\"font.family\"),fontSize:_(o,\"font.size\"),fontColor:_(o,\"font.color\"),nameLength:_(o,\"namelength\"),textAlign:_(o,\"align\"),idealAlign:n.event.x<g[0]?\"right\":\"left\",hovertemplate:o.hovertemplate,hovertemplateLabels:y,eventData:[v]})}}s.loneHover(u,{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t,anchorIndex:c}).each((function(){i.link.concentrationscale||p(this,.65),d(this)}))}}function m(t){var e,r;t.circular?(e=(t.circularPathData.leftInnerExtent+t.circularPathData.rightInnerExtent)/2,r=t.circularPathData.verticalFullExtent):(e=(t.source.x1+t.target.x0)/2,r=(t.y0+t.y1)/2);var n=[e,r];return\"v\"===t.trace.orientation&&n.reverse(),n[0]+=i.parent.translateX,n[1]+=i.parent.translateY,n}},unhover:function(e,i,a){!1!==t._fullLayout.hovermode&&(n.select(e).call(b.bind(0,i,a,!0)),\"skip\"!==i.link.trace.link.hoverinfo&&(i.link.fullData=i.link.trace,t.emit(\"plotly_unhover\",{event:n.event,points:[i.link]})),s.loneUnhover(r._hoverlayer.node()))},select:function(e,r){var i=r.link;i.originalEvent=n.event,t._hoverdata=[i],s.click(t,{target:!0})}},nodeEvents:{hover:function(e,r,i){!1!==t._fullLayout.hovermode&&(n.select(e).call(y,r,i),\"skip\"!==r.node.trace.node.hoverinfo&&(r.node.fullData=r.node.trace,t.emit(\"plotly_hover\",{event:n.event,points:[r.node]})))},follow:function(e,i){if(!1!==t._fullLayout.hovermode){var o=i.node.trace.node;if(\"none\"!==o.hoverinfo&&\"skip\"!==o.hoverinfo){var l=n.select(e).select(\".\"+u.nodeRect),c=t._fullLayout._paperdiv.node().getBoundingClientRect(),h=l.node().getBoundingClientRect(),v=h.left-2-c.left,g=h.right+2-c.left,y=h.top+h.height/4-c.top,m={valueLabel:a(i.valueFormat)(i.node.value)+i.valueSuffix};i.node.fullData=i.node.trace,t._fullLayout._calcInverseTransform(t);var x=t._fullLayout._invScaleX,b=t._fullLayout._invScaleY,w=s.loneHover({x0:x*v,x1:x*g,y:b*y,name:a(i.valueFormat)(i.node.value)+i.valueSuffix,text:[i.node.label,A+i.node.targetLinks.length,M+i.node.sourceLinks.length].filter(f).join(\"<br>\"),color:_(o,\"bgcolor\")||i.tinyColorHue,borderColor:_(o,\"bordercolor\"),fontFamily:_(o,\"font.family\"),fontSize:_(o,\"font.size\"),fontColor:_(o,\"font.color\"),nameLength:_(o,\"namelength\"),textAlign:_(o,\"align\"),idealAlign:\"left\",hovertemplate:o.hovertemplate,hovertemplateLabels:m,eventData:[i.node]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t});p(w,.85),d(w)}}},unhover:function(e,i,a){!1!==t._fullLayout.hovermode&&(n.select(e).call(m,i,a),\"skip\"!==i.node.trace.node.hoverinfo&&(i.node.fullData=i.node.trace,t.emit(\"plotly_unhover\",{event:n.event,points:[i.node]})),s.loneUnhover(r._hoverlayer.node()))},select:function(e,r,i){var a=r.node;a.originalEvent=n.event,t._hoverdata=[a],n.select(e).call(m,r,i),s.click(t,{target:!0})}}})}},3393:function(t,e,r){\"use strict\";var n=r(49887),i=r(81684).k4,a=r(39898),o=r(30838),s=r(86781),l=r(85247),u=r(84267),c=r(7901),f=r(91424),h=r(71828),p=h.strTranslate,d=h.strRotate,v=r(28984),g=v.keyFun,y=v.repeat,m=v.unwrap,x=r(63893),b=r(73972),_=r(18783),w=_.CAP_SHIFT,T=_.LINE_SPACING;function k(t,e,r){var n,i=m(e),a=i.trace,c=a.domain,f=\"h\"===a.orientation,p=a.node.pad,d=a.node.thickness,v=t.width*(c.x[1]-c.x[0]),g=t.height*(c.y[1]-c.y[0]),y=i._nodes,x=i._links,b=i.circular;(n=b?s.sankeyCircular().circularLinkGap(0):o.sankey()).iterations(l.sankeyIterations).size(f?[v,g]:[g,v]).nodeWidth(d).nodePadding(p).nodeId((function(t){return t.pointNumber})).nodes(y).links(x);var _,w,T,k=n();for(var A in n.nodePadding()<p&&h.warn(\"node.pad was reduced to \",n.nodePadding(),\" to fit within the figure.\"),i._groupLookup){var M,S=parseInt(i._groupLookup[A]);for(_=0;_<k.nodes.length;_++)if(k.nodes[_].pointNumber===S){M=k.nodes[_];break}if(M){var E={pointNumber:parseInt(A),x0:M.x0,x1:M.x1,y0:M.y0,y1:M.y1,partOfGroup:!0,sourceLinks:[],targetLinks:[]};k.nodes.unshift(E),M.childrenNodes.unshift(E)}}if(function(){for(_=0;_<k.nodes.length;_++){var t,e,r=k.nodes[_],n={};for(w=0;w<r.targetLinks.length;w++)t=(e=r.targetLinks[w]).source.pointNumber+\":\"+e.target.pointNumber,n.hasOwnProperty(t)||(n[t]=[]),n[t].push(e);var i=Object.keys(n);for(w=0;w<i.length;w++){var a=n[t=i[w]],o=0,s={};for(T=0;T<a.length;T++)s[(e=a[T]).label]||(s[e.label]=0),s[e.label]+=e.value,o+=e.value;for(T=0;T<a.length;T++)(e=a[T]).flow={value:o,labelConcentration:s[e.label]/o,concentration:e.value/o,links:a},e.concentrationscale&&(e.color=u(e.concentrationscale(e.flow.labelConcentration)))}var l=0;for(w=0;w<r.sourceLinks.length;w++)l+=r.sourceLinks[w].value;for(w=0;w<r.sourceLinks.length;w++)(e=r.sourceLinks[w]).concentrationOut=e.value/l;var c=0;for(w=0;w<r.targetLinks.length;w++)c+=r.targetLinks[w].value;for(w=0;w<r.targetLinks.length;w++)(e=r.targetLinks[w]).concenrationIn=e.value/c}}(),a.node.x.length&&a.node.y.length){for(_=0;_<Math.min(a.node.x.length,a.node.y.length,k.nodes.length);_++)if(a.node.x[_]&&a.node.y[_]){var L=[a.node.x[_]*v,a.node.y[_]*g];k.nodes[_].x0=L[0]-d/2,k.nodes[_].x1=L[0]+d/2;var C=k.nodes[_].y1-k.nodes[_].y0;k.nodes[_].y0=L[1]-C/2,k.nodes[_].y1=L[1]+C/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(_=0;_<n.length;_++){var s=t[n[_].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}(y=k.nodes).forEach((function(t){var e,r,n,i=0,a=t.length;for(t.sort((function(t,e){return t.y0-e.y0})),n=0;n<a;++n)(e=t[n]).y0>=i||(r=i-e.y0)>1e-6&&(e.y0+=r,e.y1+=r),i=e.y1+p})),n.update(k)}return{circular:b,key:r,trace:a,guid:h.randstr(),horizontal:f,width:v,height:g,nodePad:a.node.pad,nodeLineColor:a.node.line.color,nodeLineWidth:a.node.line.width,linkLineColor:a.link.line.color,linkLineWidth:a.link.line.width,linkArrowLength:a.link.arrowlen,valueFormat:a.valueformat,valueSuffix:a.valuesuffix,textFont:a.textfont,translateX:c.x[0]*t.width+t.margin.l,translateY:t.height-c.y[1]*t.height+t.margin.t,dragParallel:f?g:v,dragPerpendicular:f?v:g,arrangement:a.arrangement,sankey:n,graph:k,forceLayouts:{},interactionState:{dragInProgress:!1,hovered:!1}}}function A(t,e,r){var n=u(e.color),i=e.source.label+\"|\"+e.target.label+\"__\"+r;return e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:i,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:c.tinyRGB(n),tinyColorAlpha:n.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 \"+(n.rightFullExtent+r-e)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r-e)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 0 \"+(n.rightInnerExtent-e)+\" \"+(n.targetY-r)+\"L\"+(n.targetX-e)+\" \"+(n.targetY-r)+(e>0?\"L\"+n.targetX+\" \"+n.targetY:\"\")+\"Z\":\"M \"+(n.targetX-e)+\" \"+(n.targetY-r)+\" L\"+(n.rightInnerExtent-e)+\" \"+(n.targetY-r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 0 \"+(n.rightFullExtent-r-e)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r-e)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 0 \"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent+r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 0 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(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),u=t.link.y0-t.link.width/2,c=t.link.y0+t.link.width/2,f=t.link.y1-t.link.width/2,h=t.link.y1+t.link.width/2,p=\"M\"+n+\",\"+u,d=\"C\"+s+\",\"+u+\" \"+l+\",\"+f+\" \"+a+\",\"+f,v=\"C\"+l+\",\"+h+\" \"+s+\",\"+c+\" \"+n+\",\"+c,g=e>0?\"L\"+(a+e)+\",\"+(f+t.link.width/2):\"\";return p+d+(g+=\"L\"+a+\",\"+h)+v+\"Z\"}}function S(t,e){var r=u(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=h.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:c.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 L(t){t.call(E)}function 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b=u<2||i[0]!==i[u-1]||o[0]!==o[u-1];b&&(\"tozerox\"===y||\"tonextx\"===y&&(p||\"h\"===d))?m.tozero=!0:(e.error_y||{}).visible||\"tonexty\"!==y&&\"tozeroy\"!==y&&(l.hasMarkers(e)||l.hasText(e))||(m.padded=!1,m.ppad=0),b&&(\"tozeroy\"===y||\"tonexty\"===y&&(p||\"v\"===d))?x.tozero=!0:\"tonextx\"!==y&&\"tozerox\"!==y||(x.padded=!1),f&&(e._extremes[f]=a.findExtremes(r,i,m)),h&&(e._extremes[h]=a.findExtremes(n,o,x))}function p(t,e){if(l.hasMarkers(t)){var r,n=t.marker,o=1.6*(t.marker.sizeref||1);if(r=\"area\"===t.marker.sizemode?function(t){return Math.max(Math.sqrt((t||0)/o),3)}:function(t){return Math.max((t||0)/o,3)},i.isArrayOrTypedArray(n.size)){var s={type:\"linear\"};a.setConvert(s);for(var u=s.makeCalcdata(t.marker,\"size\"),c=new Array(e),f=0;f<e;f++)c[f]=r(u[f]);return c}return r(n.size)}}function d(t,e){var r=v(e),n=t._firstScatter;n[r]||(n[r]=e.uid)}function v(t){var e=t.stackgroup;return t.xaxis+t.yaxis+t.type+(e?\"-\"+e:\"\")}function g(t,e,r,n){var i=t.stackgroup;if(i){var 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n=r(52075).hasColorscale,i=r(78803),a=r(34098);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\"}))}},47581:function(t){\"use strict\";t.exports={PTS_LINESONLY:20,minTolerance:.2,toleranceGrowth:10,maxScreensAway:20,eventDataKeys:[]}},72626:function(t,e,r){\"use strict\";var n=r(47761),i=r(11661).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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n=r(82196),i=r(9012),a=r(5386).fF,o=r(5386).si,s=r(50693),l=r(1426).extendFlat,u=n.marker,c=n.line,f=u.line;t.exports={carpet:{valType:\"string\",editType:\"calc\"},a:{valType:\"data_array\",editType:\"calc\"},b:{valType:\"data_array\",editType:\"calc\"},mode:l({},n.mode,{dflt:\"markers\"}),text:l({},n.text,{}),texttemplate:o({editType:\"plot\"},{keys:[\"a\",\"b\",\"text\"]}),hovertext:l({},n.hovertext,{}),line:{color:c.color,width:c.width,dash:c.dash,backoff:c.backoff,shape:l({},c.shape,{values:[\"linear\",\"spline\"]}),smoothing:c.smoothing,editType:\"calc\"},connectgaps:n.connectgaps,fill:l({},n.fill,{values:[\"none\",\"toself\",\"tonext\"],dflt:\"none\"}),fillcolor:n.fillcolor,marker:l({symbol:u.symbol,opacity:u.opacity,maxdisplayed:u.maxdisplayed,angle:u.angle,angleref:u.angleref,standoff:u.standoff,size:u.size,sizeref:u.sizeref,sizemin:u.sizemin,sizemode:u.sizemode,line:l({width:f.width,editType:\"calc\"},s(\"marker.line\")),gradient:u.gradient,editType:\"calc\"},s(\"marker\")),textfont:n.textfont,textposition:n.textposition,selected:n.selected,unselected:n.unselected,hoverinfo:l({},i.hoverinfo,{flags:[\"a\",\"b\",\"text\",\"name\"]}),hoveron:n.hoveron,hovertemplate:a()}},34618:function(t,e,r){\"use 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r,n,i=e._length,o=e.marker,l={},u=s.isArrayOrTypedArray(o.symbol),f=s.isArrayOrTypedArray(o.angle),d=s.isArrayOrTypedArray(o.color),v=s.isArrayOrTypedArray(o.line.color),g=s.isArrayOrTypedArray(o.opacity),y=s.isArrayOrTypedArray(o.size),m=s.isArrayOrTypedArray(o.line.width);if(u||(n=p.isOpenSymbol(o.symbol)),u||d||v||g||f){l.symbols=new Array(i),l.angles=new Array(i),l.colors=new Array(i),l.borderColors=new Array(i);var x=o.symbol,b=o.angle,_=c(o,o.opacity,i),w=c(o.line,o.opacity,i);if(!Array.isArray(w[0])){var T=w;for(w=Array(i),r=0;r<i;r++)w[r]=T}if(!Array.isArray(_[0])){var k=_;for(_=Array(i),r=0;r<i;r++)_[r]=k}if(!Array.isArray(x)){var A=x;for(x=Array(i),r=0;r<i;r++)x[r]=A}if(!Array.isArray(b)){var M=b;for(b=Array(i),r=0;r<i;r++)b[r]=M}for(l.symbols=x,l.angles=b,l.colors=_,l.borderColors=w,r=0;r<i;r++)u&&(n=p.isOpenSymbol(o.symbol[r])),n&&(w[r]=_[r].slice(),_[r]=_[r].slice(),_[r][3]=0);for(l.opacity=e.opacity,l.markers=new Array(i),r=0;r<i;r++)l.markers[r]=E({mx:l.symbols[r],ma:l.angles[r]},e)}else n?(l.color=a(o.color,\"uint8\"),l.color[3]=0,l.borderColor=a(o.color,\"uint8\")):(l.color=a(o.color,\"uint8\"),l.borderColor=a(o.line.color,\"uint8\")),l.opacity=e.opacity*o.opacity,l.marker=E({mx:o.symbol,ma:o.angle},e);var S,L=h(e,1);if(y||m){var C,P=l.sizes=new Array(i),O=l.borderSizes=new Array(i),I=0;if(y){for(r=0;r<i;r++)P[r]=L(o.size[r]),I+=P[r];C=I/i}else for(S=L(o.size),r=0;r<i;r++)P[r]=S;if(m)for(r=0;r<i;r++)O[r]=o.line.width[r];else for(S=o.line.width,r=0;r<i;r++)O[r]=S;l.sizeAvg=C}else l.size=L(o&&o.size||10),l.borderSizes=L(o.line.width);return l}function b(t,e,r){var n=e.marker,i={};return r?(r.marker&&r.marker.symbol?i=x(0,s.extendFlat({},n,r.marker)):r.marker&&(r.marker.size&&(i.size=r.marker.size),r.marker.color&&(i.colors=r.marker.color),void 0!==r.marker.opacity&&(i.opacity=r.marker.opacity)),i):i}function _(t,e,r){var n={};if(!r)return n;if(r.textfont){var 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=m(t,i)}return n}function w(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 T=d.SYMBOL_SDF_SIZE,k=d.SYMBOL_SIZE,A=d.SYMBOL_STROKE,M={},S=l.symbolFuncs[0](.05*k);function E(t,e){var r,n,a=t.mx;if(\"circle\"===a)return null;var o=l.symbolNumber(a),s=l.symbolFuncs[o%100],u=!!l.symbolNoDot[o%100],c=!!l.symbolNoFill[o%100],f=p.isDotSymbol(a);if(t.ma&&(a+=\"_\"+t.ma),M[a])return M[a];var h=l.getMarkerAngle(t,e);return r=f&&!u?s(1.1*k,h)+S:s(k,h),n=i(r,{w:T,h:T,viewBox:[-k,-k,k,k],stroke:c?A:-A}),M[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=m(t,e),n.textSel=_(t,e,e.selected),n.textUnsel=_(t,e,e.unselected)),f.hasMarkers(e)&&(n.marker=x(0,e),n.markerSel=b(0,e,e.selected),n.markerUnsel=b(0,e,e.unselected),!e.unselected&&s.isArrayOrTypedArray(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]=v*a[r]}if(f.hasLines(e)){n.line={overlay:!0,thickness:e.line.width*i,color:e.line.color,opacity:e.opacity};var o=(d.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=w(e,e.error_x,i)),e.error_y&&e.error_y.visible&&(n.errorY=w(e,e.error_y,i)),e.fill&&\"none\"!==e.fill&&(n.fill={closed:!0,fill:e.fillcolor,thickness:0}),n},markerStyle:x,markerSelection:b,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 u=!1;for(i=0;i<n.length;i++)if(isNaN(n[i])){u=!0;break}var c=u||n.length>d.TOO_MANY_POINTS||f.hasMarkers(e)?\"rect\":\"round\";if(u&&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:c,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\"),f=r.length/2,h={};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),u={x:0,y:1}[a],c={x:[0,1,2,3],y:[2,3,0,1]}[a],p=new Float64Array(4*f),d=1/0,v=-1/0,g=0,y=0;g<f;g++,y+=4){var m=t[g];if(n(m)){var x=r[2*g+u],b=l(m,g),_=b[0],w=b[1];if(n(_)&&n(w)){var T=m-_,k=m+w;p[y+c[0]]=x-i.c2l(T),p[y+c[1]]=i.c2l(k)-x,p[y+c[2]]=0,p[y+c[3]]=0,d=Math.min(d,m-_),v=Math.max(v,m+w)}}}h[a]={positions:r,errors:p,_bnds:[d,v]}}}return p(i,l),p(a,c),h},textPosition:function(t,e,r,n){var i,a=e._length,o={};if(f.hasMarkers(e)){var s=r.font,l=r.align,u=r.baseline;for(o.offset=new Array(a),i=0;i<a;i++){var c=n.sizes?n.sizes[i]:n.size,h=Array.isArray(s)?s[i].size:s.size,p=Array.isArray(l)?l.length>1?l[i]:l[0]:l,d=Array.isArray(u)?u.length>1?u[i]:u[0]:u,v=g[p],y=g[d],m=c?c/.8+1:0,x=-y*m-.5*y;o.offset[i]=[v*m/h,x/h]}}return o}}},47148:function(t,e,r){\"use strict\";var n=r(71828),i=r(73972),a=r(68645),o=r(42341),s=r(47581),l=r(34098),u=r(67513),c=r(73927),f=r(49508),h=r(11058),p=r(28908),d=r(82410);t.exports=function(t,e,r,v){function g(r,i){return n.coerce(t,e,o,r,i)}var y=!!t.marker&&a.isOpenSymbol(t.marker.symbol),m=l.isBubble(t),x=u(t,e,v,g);if(x){c(t,e,v,g),g(\"xhoverformat\"),g(\"yhoverformat\");var b=x<s.PTS_LINESONLY?\"lines+markers\":\"lines\";g(\"text\"),g(\"hovertext\"),g(\"hovertemplate\"),g(\"mode\",b),l.hasLines(e)&&(g(\"connectgaps\"),h(t,e,r,v,g),g(\"line.shape\")),l.hasMarkers(e)&&(f(t,e,r,v,g,{noAngleRef:!0,noStandOff:!0}),g(\"marker.line.width\",y||m?1:0)),l.hasText(e)&&(g(\"texttemplate\"),d(t,e,v,g));var _=(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,_||w||r,{axis:\"y\"}),T(t,e,_||w||r,{axis:\"x\",inherit:\"y\"}),n.coerceSelectionMarkerOpacity(e,g)}else e.visible=!1}},5345:function(t,e,r){\"use strict\";var n=r(71828),i=r(7901),a=r(37822).DESELECTDIM;t.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,u=l._scene,c=l.index,f=u.selectBatch[c],h=u.unselectBatch[c],p=u.textOptions[c],d=u.textSelectedOptions[c]||{},v=u.textUnselectedOptions[c]||{},g=n.extendFlat({},p);if(f.length||h.length){var y=d.color,m=v.color,x=p.color,b=Array.isArray(x);for(g.color=new Array(s._length),e=0;e<f.length;e++)r=f[e],g.color[r]=y||(b?x[r]:x);for(e=0;e<h.length;e++){r=h[e];var _=b?x[r]:x;g.color[r]=m||(y?_:i.addOpacity(_,a))}}u.glText[c].update(g)}}},68101:function(t,e,r){\"use strict\";var n=r(8225);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)}},68645:function(t,e,r){\"use strict\";var n=r(78232);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}},20794:function(t,e,r){\"use strict\";var n=r(73972),i=r(71828),a=r(34603);function o(t,e,r,o){var s=t.xa,l=t.ya,u=t.distance,c=t.dxy,f=t.index,h={pointNumber:f,x:e[f],y:r[f]};h.tx=Array.isArray(o.text)?o.text[f]:o.text,h.htx=Array.isArray(o.hovertext)?o.hovertext[f]:o.hovertext,h.data=Array.isArray(o.customdata)?o.customdata[f]:o.customdata,h.tp=Array.isArray(o.textposition)?o.textposition[f]:o.textposition;var p=o.textfont;p&&(h.ts=i.isArrayOrTypedArray(p.size)?p.size[f]:p.size,h.tc=Array.isArray(p.color)?p.color[f]:p.color,h.tf=Array.isArray(p.family)?p.family[f]:p.family);var d=o.marker;d&&(h.ms=i.isArrayOrTypedArray(d.size)?d.size[f]:d.size,h.mo=i.isArrayOrTypedArray(d.opacity)?d.opacity[f]:d.opacity,h.mx=i.isArrayOrTypedArray(d.symbol)?d.symbol[f]:d.symbol,h.ma=i.isArrayOrTypedArray(d.angle)?d.angle[f]:d.angle,h.mc=i.isArrayOrTypedArray(d.color)?d.color[f]:d.color);var v=d&&d.line;v&&(h.mlc=Array.isArray(v.color)?v.color[f]:v.color,h.mlw=i.isArrayOrTypedArray(v.width)?v.width[f]:v.width);var g=d&&d.gradient;g&&\"none\"!==g.type&&(h.mgt=Array.isArray(g.type)?g.type[f]:g.type,h.mgc=Array.isArray(g.color)?g.color[f]:g.color);var y=s.c2p(h.x,!0),m=l.c2p(h.y,!0),x=h.mrc||1,b=o.hoverlabel;b&&(h.hbg=Array.isArray(b.bgcolor)?b.bgcolor[f]:b.bgcolor,h.hbc=Array.isArray(b.bordercolor)?b.bordercolor[f]:b.bordercolor,h.hts=i.isArrayOrTypedArray(b.font.size)?b.font.size[f]:b.font.size,h.htc=Array.isArray(b.font.color)?b.font.color[f]:b.font.color,h.htf=Array.isArray(b.font.family)?b.font.family[f]:b.font.family,h.hnl=i.isArrayOrTypedArray(b.namelength)?b.namelength[f]:b.namelength);var _=o.hoverinfo;_&&(h.hi=Array.isArray(_)?_[f]:_);var w=o.hovertemplate;w&&(h.ht=Array.isArray(w)?w[f]:w);var T={};T[t.index]=h;var k=o._origX,A=o._origY,M=i.extendFlat({},t,{color:a(o,h),x0:y-x,x1:y+x,xLabelVal:k?k[f]:h.x,y0:m-x,y1:m+x,yLabelVal:A?A[f]:h.y,cd:T,distance:u,spikeDistance:c,hovertemplate:h.ht});return h.htx?M.text=h.htx:h.tx?M.text=h.tx:o.text&&(M.text=o.text),i.fillText(h,o,M),n.getComponentMethod(\"errorbars\",\"hoverInfo\")(h,o,M),M}t.exports={hoverPoints:function(t,e,r,n){var i,a,s,l,u,c,f,h,p,d,v=t.cd,g=v[0].t,y=v[0].trace,m=t.xa,x=t.ya,b=g.x,_=g.y,w=m.c2p(e),T=x.c2p(r),k=t.distance;if(g.tree){var A=m.p2c(w-k),M=m.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 L=k;if(\"x\"===n){var C=!!y.xperiodalignment,P=!!y.yperiodalignment;for(c=0;c<i.length;c++){if(l=b[a=i[c]],f=Math.abs(m.c2p(l)-w),C){var O=m.c2p(y._xStarts[a]),I=m.c2p(y._xEnds[a]);f=w>=Math.min(O,I)&&w<=Math.max(O,I)?0:1/0}if(f<L){if(L=f,u=_[a],h=x.c2p(u)-T,P){var D=x.c2p(y._yStarts[a]),z=x.c2p(y._yEnds[a]);h=T>=Math.min(D,z)&&T<=Math.max(D,z)?0:1/0}d=Math.sqrt(f*f+h*h),s=i[c]}}}else for(c=i.length-1;c>-1;c--)l=b[a=i[c]],u=_[a],f=m.c2p(l)-w,h=x.c2p(u)-T,(p=Math.sqrt(f*f+h*h))<L&&(L=d=p,s=a);return t.index=s,t.distance=L,t.dxy=d,void 0===s?[t]:[o(t,b,_,y)]},calcHover:o}},68868:function(t,e,r){\"use strict\";var n=r(72156);n.plot=r(26787),t.exports=n},26787:function(t,e,r){\"use strict\";var n=r(11870),i=r(46075),a=r(3593),o=r(42505),s=r(71828),l=r(64505).selectMode,u=r(79749),c=r(34098),f=r(68687),h=r(5345).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,u=i.r*n,c=i.t*n,f=i.w*n,h=i.h*n;return[s+e.domain[0]*f,l+r.domain[0]*h,a-u-(1-e.domain[1])*f,o-c-(1-r.domain[1])*h]}(t.exports=function(t,e,r){if(r.length){var v,g,y=t._fullLayout,m=e._scene,x=e.xaxis,b=e.yaxis;if(m)if(u(t,[\"ANGLE_instanced_arrays\",\"OES_element_index_uint\"],p)){var 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n=r(5386).fF,i=r(5386).si,a=r(19316),o=r(82196),s=r(23585),l=r(9012),u=r(50693),c=r(1426).extendFlat,f=r(30962).overrideAll,h=r(23585),p=a.line,d=a.marker;t.exports=f({lon:a.lon,lat:a.lat,cluster:{enabled:{valType:\"boolean\"},maxzoom:c({},h.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:c({},d.opacity,{dflt:1})},mode:c({},o.mode,{dflt:\"markers\"}),text:c({},o.text,{}),texttemplate:i({editType:\"plot\"},{keys:[\"lat\",\"lon\",\"text\"]}),hovertext:c({},o.hovertext,{}),line:{color:p.color,width:p.width},connectgaps:o.connectgaps,marker:c({symbol:{valType:\"string\",dflt:\"circle\",arrayOk:!0},angle:{valType:\"number\",dflt:\"auto\",arrayOk:!0},allowoverlap:{valType:\"boolean\",dflt:!1},opacity:d.opacity,size:d.size,sizeref:d.sizeref,sizemin:d.sizemin,sizemode:d.sizemode},u(\"marker\")),fill:a.fill,fillcolor:o.fillcolor,textfont:s.layers.symbol.textfont,textposition:s.layers.symbol.textposition,below:{valType:\"string\"},selected:{marker:o.selected.marker},unselected:{marker:o.unselected.marker},hoverinfo:c({},l.hoverinfo,{flags:[\"lon\",\"lat\",\"text\",\"name\"]}),hovertemplate:n()},\"calc\",\"nested\")},15790:function(t,e,r){\"use 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r,a=e[0].trace,b=!0===a.visible&&0!==a._length,_=\"none\"!==a.fill,w=c.hasLines(a),T=c.hasMarkers(a),k=c.hasText(a),A=T&&\"circle\"===a.marker.symbol,M=T&&\"circle\"!==a.marker.symbol,S=a.cluster&&a.cluster.enabled,E=v(\"fill\"),L=v(\"line\"),C=v(\"circle\"),P=v(\"symbol\"),O={fill:E,line:L,circle:C,symbol:P};if(!b)return O;if((_||w)&&(r=o.calcTraceToLineCoords(e)),_&&(E.geojson=o.makePolygon(r),E.layout.visibility=\"visible\",i.extendFlat(E.paint,{\"fill-color\":a.fillcolor})),w&&(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})),A){var I=function(t){var e,r,a,o,c=t[0].trace,f=c.marker,h=c.selectedpoints,p=i.isArrayOrTypedArray(f.color),d=i.isArrayOrTypedArray(f.size),v=i.isArrayOrTypedArray(f.opacity);function g(t){return c.opacity*t}p&&(r=s.hasColorscale(c,\"marker\")?s.makeColorScaleFuncFromTrace(f):i.identity),d&&(a=u(c)),v&&(o=function(t){return 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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})),k)){var D=(a.marker||{}).size,z=f(a.textposition,D);i.extendFlat(P.layout,{\"text-size\":a.textfont.size,\"text-anchor\":z.anchor,\"text-offset\":z.offset,\"text-font\":a.textfont.family.split(\", \")}),i.extendFlat(P.paint,{\"text-color\":a.textfont.color,\"text-opacity\":a.opacity})}return O}},76645:function(t,e,r){\"use strict\";var n=r(71828),i=r(34098),a=r(49508),o=r(11058),s=r(82410),l=r(28908),u=r(99181),c=[\"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 Extra Bold Italic\",\"Open Sans Extra Bold\",\"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=function(t,e,r,f){function h(r,i){return n.coerce(t,e,u,r,i)}function p(r,i){return n.coerce2(t,e,u,r,i)}var d=function(t,e,r){var n=r(\"lon\")||[],i=r(\"lat\")||[],a=Math.min(n.length,i.length);return 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n=r(35948),i=r(20794).calcHover;t.exports={hoverPoints:function(t,e,r){var a=t.cd[0].trace,o=t.scene.matrixOptions.cdata,s=t.xa,l=t.ya,u=s.c2p(e),c=l.c2p(r),f=t.distance,h=n.getDimIndex(a,s),p=n.getDimIndex(a,l);if(!1===h||!1===p)return[t];for(var d,v,g=o[h],y=o[p],m=f,x=0;x<g.length;x++){var b=g[x],_=y[x],w=s.c2p(b)-u,T=l.c2p(_)-c,k=Math.sqrt(w*w+T*T);k<m&&(m=v=k,d=x)}return t.index=d,t.distance=m,t.dxy=v,void 0===d?[t]:[i(t,g,y,a)]}}},6419:function(t,e,r){\"use strict\";var n=r(65017);n.basePlotModule=r(16947),t.exports=n},79410:function(t,e,r){\"use strict\";var n=r(60487),i=r(71828),a=r(41675),o=r(64505).selectMode;function s(t,e){var r,s,l,u,c,f=t._fullLayout,h=f._size,p=e.trace,d=e.t,v=f._splomScenes[p.uid],g=v.matrixOptions,y=g.cdata,m=f._glcanvas.data()[0].regl,x=f.dragmode;if(0!==y.length){g.lower=p.showupperhalf,g.upper=p.showlowerhalf,g.diagonal=p.diagonal.visible;var b=p._visibleDims,_=y.length,w=v.viewOpts={};for(w.ranges=new Array(_),w.domains=new 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B=i.extendFlat({},g,v.unselectedOptions,w),N=i.extendFlat({},g,v.selectedOptions,w);v.matrix.update(B,N),P=!1}}else d.xpx=d.ypx=null;if(P){var j=i.extendFlat({},g,w);v.matrix.update(j,null)}}}t.exports=function(t,e,r){if(r.length)for(var n=0;n<r.length;n++)s(t,r[n][0])}},10164:function(t,e,r){\"use strict\";var n=r(71828);t.exports=function(t,e){var r=t._fullLayout,i=e.uid,a=r._splomScenes;a||(a=r._splomScenes={});var o={dirty:!0,selectBatch:[],unselectBatch:[]},s=a[e.uid];return s||((s=a[i]=n.extendFlat({},o,{matrix:!1,selectBatch:[],unselectBatch:[]})).draw=function(){s.matrix&&s.matrix.draw&&(s.selectBatch.length||s.unselectBatch.length?s.matrix.draw(s.unselectBatch,s.selectBatch):s.matrix.draw()),s.dirty=!1},s.destroy=function(){s.matrix&&s.matrix.destroy&&s.matrix.destroy(),s.matrixOptions=null,s.selectBatch=null,s.unselectBatch=null,s=null}),s.dirty||n.extendFlat(s,o),s}},8689:function(t,e,r){\"use strict\";var n=r(71828),i=n.pushUnique,a=r(34098),o=r(35948);t.exports=function(t,e){var r=t.cd,s=r[0].trace,l=r[0].t,u=t.scene,c=u.matrixOptions.cdata,f=t.xaxis,h=t.yaxis,p=[];if(!u)return p;var d=!a.hasMarkers(s)&&!a.hasText(s);if(!0!==s.visible||d)return p;var v=o.getDimIndex(s,f),g=o.getDimIndex(s,h);if(!1===v||!1===g)return p;var y=l.xpx[v],m=l.ypx[g],x=c[v],b=c[g],_=(t.scene.selectBatch||[]).slice(),w=[];if(!1!==e&&!e.degenerate)for(var T=0;T<x.length;T++)e.contains([y[T],m[T]],null,T,t)?(p.push({pointNumber:T,x:x[T],y:b[T]}),i(_,T)):-1!==_.indexOf(T)?i(_,T):w.push(T);var k=u.matrixOptions;return _.length||w.length?u.selectBatch.length||u.unselectBatch.length||u.matrix.update(u.unselectedOptions,n.extendFlat({},k,u.selectedOptions,u.viewOpts)):u.matrix.update(k,null),u.selectBatch=_,u.unselectBatch=w,p}},21850:function(t,e,r){\"use strict\";var n=r(50693),i=r(12663).axisHoverFormat,a=r(5386).fF,o=r(2418),s=r(9012),l=r(1426).extendFlat,u={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(u,n(\"\",{colorAttr:\"u/v/w 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L=function(){m=0,M=[],S=[],E=[]};(!m||m<M.length*S.length*E.length)&&L();var C=function(t){return\"x\"===t?v:\"y\"===t?g:y},P=function(t){return\"x\"===t?M:\"y\"===t?S:E},O=function(t){return t[m-1]<t[0]?-1:1},I=C(A[1]),D=C(A[3]),z=C(A[5]),R=P(A[1]).length,F=P(A[3]).length,B=P(A[5]).length,N=!1,j=function(t,e,r){return R*(F*t+e)+r},U=O(C(A[1])),V=O(C(A[3])),H=O(C(A[5]));for(e=0;e<B-1;e++){for(r=0;r<F-1;r++){for(i=0;i<R-1;i++){var q=j(e,r,i),G=j(e,r,i+1),Z=j(e,r+1,i),Y=j(e+1,r,i);if(I[q]*U<I[G]*U&&D[q]*V<D[Z]*V&&z[q]*H<z[Y]*H||(N=!0),N)break}if(N)break}if(N)break}return N&&(n.warn(\"Encountered arbitrary coordinates! 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y=n[c];r.xMax=Math.max(r.xMax,y),r.xMin=Math.min(r.xMin,y);var m=o[c];r.yMax=Math.max(r.yMax,m),r.yMin=Math.min(r.yMin,m);var x=l[c];r.zMax=Math.max(r.zMax,x),r.zMin=Math.min(r.zMin,x)}e._slen=u,e._normMax=f,e._xbnds=[r.xMin,r.xMax],e._ybnds=[r.yMin,r.yMax],e._zbnds=[r.zMin,r.zMax]},filter:s,processGrid:a}},90154:function(t,e,r){\"use strict\";var n=r(9330).gl_streamtube3d,i=n.createTubeMesh,a=r(71828),o=r(81697).parseColorScale,s=r(21081).extractOpts,l=r(90060),u={xaxis:0,yaxis:1,zaxis:2};function c(t,e){this.scene=t,this.uid=e,this.mesh=null,this.data=null}var f=c.prototype;function h(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,c=e._len,f={};function d(t,e){var n=r[e],o=i[u[e]];return a.simpleMap(t,(function(t){return 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e.listPath(t,\"label\").join(\"/\")+\"/\"},e.formatValue=o.formatPieValue,e.formatPercent=function(t,e){var r=n.formatPercent(t,0);return\"0%\"===r&&(r=o.formatPiePercent(t,e)),r}},87619:function(t,e,r){\"use strict\";t.exports={moduleType:\"trace\",name:\"sunburst\",basePlotModule:r(66888),categories:[],animatable:!0,attributes:r(57564),layoutAttributes:r(2654),supplyDefaults:r(17094),supplyLayoutDefaults:r(57034),calc:r(52147).calc,crossTraceCalc:r(52147).crossTraceCalc,plot:r(24714).plot,style:r(29969).style,colorbar:r(4898),meta:{}}},2654:function(t){\"use strict\";t.exports={sunburstcolorway:{valType:\"colorlist\",editType:\"calc\"},extendsunburstcolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},57034:function(t,e,r){\"use strict\";var n=r(71828),i=r(2654);t.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"sunburstcolorway\",e.colorway),r(\"extendsunburstcolors\")}},24714:function(t,e,r){\"use strict\";var 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s,l=b.getPtId(t.parent);T.each((function(t){if(b.getPtId(t)===l)return s=t}));var u,c=s.children;c.forEach((function(t,e){if(b.getPtId(t)===r)return u=e}));var f=c.length,h=a(s.x0,s.x1);e={rpx0:I,rpx1:I,x0:h(u/f),x1:h((u+1)/f)}}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(_&&R){var J=b.getPtId(R);T.each((function(t){null===X&&b.getPtId(t)===J&&(X=t.x1)}))}var K=T;function $(t){var e=t.parent,r=F[b.getPtId(e)],n={};if(r){var i=e.children,o=i.indexOf(t),s=i.length,l=a(r.x0,r.x1);n.x0=l(o/s),n.x1=l(o/s)}else n.x0=n.x1=0;return n}_&&(K=K.transition().each(\"end\",(function(){var e=n.select(this);b.setSliceCursor(e,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:!1})}))),K.each((function(i){var u=n.select(this),f=s.ensureSingle(u,\"path\",\"surface\",(function(t){t.style(\"pointer-events\",h?\"none\":\"all\")}));i.rpx0=q(i.y0),i.rpx1=q(i.y1),i.xmid=(i.x0+i.x1)/2,i.pxmid=G(i.rpx1,i.xmid),i.midangle=-(i.xmid-Math.PI/2),i.startangle=-(i.x0-Math.PI/2),i.stopangle=-(i.x1-Math.PI/2),i.halfangle=.5*Math.min(s.angleDelta(i.x0,i.x1)||Math.PI,Math.PI),i.ring=1-i.rpx0/i.rpx1,i.rInscribed=function(t){return 0===t.rpx0&&s.isFullCircle([t.x0,t.x1])?1:Math.max(0,Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2))}(i),_?f.transition().attrTween(\"d\",(function(t){var e=function(t){var e,r=F[b.getPtId(t)],n={x0:t.x0,x1:t.x1,rpx0:t.rpx0,rpx1:t.rpx1};if(r)e=r;else if(R)if(t.parent)if(X){var i=(t.x1>X?2*Math.PI:0)+V;e={x0:i,x1:i}}else e={rpx0:I,rpx1:I},s.extendFlat(e,$(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))}})):f.attr(\"d\",Z),u.call(m,S,t,r,{eventDataKeys:x.eventDataKeys,transitionTime:x.CLICK_TRANSITION_TIME,transitionEasing:x.CLICK_TRANSITION_EASING}).call(b.setSliceCursor,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:t._transitioning}),f.call(g,i,A,t);var p=s.ensureSingle(u,\"g\",\"slicetext\"),w=s.ensureSingle(p,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),T=s.ensureUniformFontSize(t,b.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=v(M,i,k),i.transform.targetX=Y(i),i.transform.targetY=W(i);var E=function(t,e){var r=t.transform;return d(r,e),r.fontSize=T.size,c(A.type,r,y),s.getTextTransform(r)};_?w.transition().attrTween(\"transform\",(function(t){var e=function(t){var e,r=F[b.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,$(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),u=a(e.x0,t.x0),f=a(e.x1,t.x1),h=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,v=a(e.transform.rCenter,n.rCenter);return function(t){var e=l(t),r=u(t),i=f(t),a=function(t){return v(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 c(A.type,n,y),{transform:{targetX:Y(s),targetY:W(s),scale:h(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,u=!r,c=!s.uniformtext.mode&&b.hasTransition(r);f(\"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(),c?(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){_(t,e,this,r)}))}))):(a.each((function(e){_(t,e,this,r)})),s.uniformtext.mode&&y(t,s._sunburstlayer.selectAll(\".trace\"),\"sunburst\")),u&&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,u=n[0],c=t.data.data,f=u.hierarchy,h=b.isHierarchyRoot(t),p=b.getParent(f,t),d=b.getValue(t);if(!a){var v,g=o.split(\"+\"),y=function(t){return-1!==g.indexOf(t)},m=[];if(y(\"label\")&&c.label&&m.push(c.label),c.hasOwnProperty(\"v\")&&y(\"value\")&&m.push(b.formatValue(c.v,l)),!h){y(\"current path\")&&m.push(b.getPath(t.data));var x=0;y(\"percent parent\")&&x++,y(\"percent entry\")&&x++,y(\"percent root\")&&x++;var _=x>1;if(x){var w,T=function(t){v=b.formatPercent(w,l),_&&(v+=\" of \"+t),m.push(v)};y(\"percent parent\")&&!h&&(w=d/b.getValue(p),T(\"parent\")),y(\"percent entry\")&&(w=d/b.getValue(e),T(\"entry\")),y(\"percent root\")&&(w=d/b.getValue(f),T(\"root\"))}}return y(\"text\")&&(v=s.castOption(r,c.i,\"text\"),s.isValidTextValue(v)&&m.push(v)),m.join(\"<br>\")}var k=s.castOption(r,c.i,\"texttemplate\");if(!k)return\"\";var A={};c.label&&(A.label=c.label),c.hasOwnProperty(\"v\")&&(A.value=c.v,A.valueLabel=b.formatValue(c.v,l)),A.currentPath=b.getPath(t.data),h||(A.percentParent=d/b.getValue(p),A.percentParentLabel=b.formatPercent(A.percentParent,l),A.parent=b.getPtLabel(p)),A.percentEntry=d/b.getValue(e),A.percentEntryLabel=b.formatPercent(A.percentEntry,l),A.entry=b.getPtLabel(e),A.percentRoot=d/b.getValue(f),A.percentRootLabel=b.formatPercent(A.percentRoot,l),A.root=b.getPtLabel(f),c.hasOwnProperty(\"color\")&&(A.color=c.color);var M=s.castOption(r,c.i,\"text\");return(s.isValidTextValue(M)||\"\"===M)&&(A.text=M),A.customdata=s.castOption(r,c.i,\"customdata\"),s.texttemplateString(k,A,i._d3locale,A,r._meta||{})}},29969:function(t,e,r){\"use strict\";var n=r(39898),i=r(7901),a=r(71828),o=r(72597).resizeText,s=r(43467);function l(t,e,r,n){var 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f=t.exports=u(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(78803);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\"})}},43768:function(t,e,r){\"use strict\";var n=r(9330).gl_surface3d,i=r(9330).ndarray,a=r(9330).ndarray_linear_interpolate.d2,o=r(824),s=r(43907),l=r(71828).isArrayOrTypedArray,u=r(81697).parseColorScale,c=r(78614),f=r(21081).extractOpts;function h(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=h.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 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A=[!0,!0,!0],M=[\"x\",\"y\",\"z\"];for(e=0;e<3;++e){var S=t.contours[M[e]];A[e]=S.highlight,w.showContour[e]=S.show||S.highlight,w.showContour[e]&&(w.contourProject[e]=[S.project.x,S.project.y,S.project.z],S.show?(this.showContour[e]=!0,w.levels[e]=m[e],p.highlightColor[e]=w.contourColor[e]=c(S.color),S.usecolormap?p.highlightTint[e]=w.contourTint[e]=0:p.highlightTint[e]=w.contourTint[e]=1,w.contourWidth[e]=S.width,this.contourStart[e]=S.start,this.contourEnd[e]=S.end,this.contourSize[e]=S.size):(this.showContour[e]=!1,this.contourStart[e]=null,this.contourEnd[e]=null,this.contourSize[e]=0),S.highlight&&(w.dynamicColor[e]=c(S.highlightcolor),w.dynamicWidth[e]=S.highlightwidth))}(function(t){var e=t[0].rgb,r=t[t.length-1].rgb;return e[0]===r[0]&&e[1]===r[1]&&e[2]===r[2]&&e[3]===r[3]})(d)&&(w.vertexColor=!0),w.objectOffset=this.objectOffset,w.coords=b,p.update(w),p.visible=t.visible,p.enableDynamic=A,p.enableHighlight=A,p.snapToData=!0,\"lighting\"in 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n=r(50215),i=r(1426).extendFlat,a=r(30962).overrideAll,o=r(41940),s=r(27670).Y,l=r(12663).descriptionOnlyNumbers;(t.exports=a({domain:s({name:\"table\",trace:!0}),columnwidth:{valType:\"number\",arrayOk:!0,dflt:null},columnorder:{valType:\"data_array\"},header:{values:{valType:\"data_array\",dflt:[]},format:{valType:\"data_array\",dflt:[],description:l(\"cell value\")},prefix:{valType:\"string\",arrayOk:!0,dflt:null},suffix:{valType:\"string\",arrayOk:!0,dflt:null},height:{valType:\"number\",dflt:28},align:i({},n.align,{arrayOk:!0}),line:{width:{valType:\"number\",arrayOk:!0,dflt:1},color:{valType:\"color\",arrayOk:!0,dflt:\"grey\"}},fill:{color:{valType:\"color\",arrayOk:!0,dflt:\"white\"}},font:i({},o({arrayOk:!0}))},cells:{values:{valType:\"data_array\",dflt:[]},format:{valType:\"data_array\",dflt:[],description:l(\"cell 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L=Math.max(o(e.header.line.width),o(e.cells.line.width)),C={key:e.uid+t._context.staticPlot,translateX:g.x[0]*t._fullLayout._size.w,translateY:t._fullLayout._size.h*(1-g.y[1]),size:t._fullLayout._size,width:y,maxLineWidth:L,height:m,columnOrder:M,groupHeight:m,rowBlocks:k,headerRowBlocks:T,scrollY:0,cells:i({},e.cells,{values:r}),headerCells:i({},e.header,{values:v}),gdColumns:v.map((function(t){return t[0]})),gdColumnsOriginalOrder:v.map((function(t){return t[0]})),prevPages:[0,0],scrollbarState:{scrollbarScrollInProgress:!1},columns:v.map((function(t,e){var r=A[t];return A[t]=(r||0)+1,{key:t+\"__\"+A[t],label:t,specIndex:e,xIndex:M[e],xScale:c,x:void 0,calcdata:void 0,columnWidth:S[e]}}))};return C.columns.forEach((function(t){t.calcdata=C,t.x=c(t)})),C}},56269:function(t,e,r){\"use strict\";var n=r(1426).extendFlat;e.splitToPanels=function(t){var e=[0,0],r=n({},t,{key:\"header\",type:\"header\",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!0,values:t.calcdata.headerCells.values[t.specIndex],rowBlocks:t.calcdata.headerRowBlocks,calcdata:n({},t.calcdata,{cells:t.calcdata.headerCells})});return[n({},t,{key:\"cells1\",type:\"cells\",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),n({},t,{key:\"cells2\",type:\"cells\",page:1,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),r]},e.splitToCells=function(t){var e=function(t){var e=t.rowBlocks[t.page],r=e?e.rows[0].rowIndex:0;return[r,e?r+e.rows.length:0]}(t);return(t.values||[]).slice(e[0],e[1]).map((function(r,n){return{keyWithinBlock:n+(\"string\"==typeof r&&r.match(/[<$&> 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a.indexOf(t)})),s=o.length;s<n;s++)o.push(s);e(\"columnorder\",o)}(e,s),s(\"cells.values\"),s(\"cells.format\"),s(\"cells.align\"),s(\"cells.prefix\"),s(\"cells.suffix\"),s(\"cells.height\"),s(\"cells.line.width\"),s(\"cells.line.color\"),s(\"cells.fill.color\"),n.coerceFont(s,\"cells.font\",n.extendFlat({},o.font)),e._length=null}},96595:function(t,e,r){\"use strict\";t.exports={attributes:r(44464),supplyDefaults:r(39754),calc:r(76333),plot:r(36736),moduleType:\"trace\",name:\"table\",basePlotModule:r(99469),categories:[\"noOpacity\"],meta:{}}},36736:function(t,e,r){\"use strict\";var n=r(49850),i=r(39898),a=r(71828).numberFormat,o=r(28984),s=r(91424),l=r(63893),u=r(71828).raiseToTop,c=r(71828).strTranslate,f=r(71828).cancelTransition,h=r(51018),p=r(56269),d=r(7901);function v(t){return Math.ceil(t.calcdata.maxLineWidth/2)}function g(t,e){return\"clip\"+t._fullLayout._uid+\"_scrollAreaBottomClip_\"+e.key}function y(t,e){return\"clip\"+t._fullLayout._uid+\"_columnBoundaryClippath_\"+e.calcdata.key+\"_\"+e.specIndex}function m(t){return[].concat.apply([],t.map((function(t){return t}))).map((function(t){return t.__data__}))}function x(t,e,r){var a=t.selectAll(\".\"+n.cn.scrollbarKit).data(o.repeat,o.keyFun);a.enter().append(\"g\").classed(n.cn.scrollbarKit,!0).style(\"shape-rendering\",\"geometricPrecision\"),a.each((function(t){var e=t.scrollbarState;e.totalHeight=function(t){var e=t.rowBlocks;return z(e,e.length-1)+(e.length?R(e[e.length-1],1/0):1)}(t),e.scrollableAreaHeight=t.groupHeight-S(t),e.currentlyVisibleHeight=Math.min(e.totalHeight,e.scrollableAreaHeight),e.ratio=e.currentlyVisibleHeight/e.totalHeight,e.barLength=Math.max(e.ratio*e.currentlyVisibleHeight,n.goldenRatio*n.scrollbarWidth),e.barWiggleRoom=e.currentlyVisibleHeight-e.barLength,e.wiggleRoom=Math.max(0,e.totalHeight-e.scrollableAreaHeight),e.topY=0===e.barWiggleRoom?0:t.scrollY/e.wiggleRoom*e.barWiggleRoom,e.bottomY=e.topY+e.barLength,e.dragMultiplier=e.wiggleRoom/e.barWiggleRoom})).attr(\"transform\",(function(t){var e=t.width+n.scrollbarWidth/2+n.scrollbarOffset;return c(e,S(t))}));var s=a.selectAll(\".\"+n.cn.scrollbar).data(o.repeat,o.keyFun);s.enter().append(\"g\").classed(n.cn.scrollbar,!0);var l=s.selectAll(\".\"+n.cn.scrollbarSlider).data(o.repeat,o.keyFun);l.enter().append(\"g\").classed(n.cn.scrollbarSlider,!0),l.attr(\"transform\",(function(t){return c(0,t.scrollbarState.topY||0)}));var u=l.selectAll(\".\"+n.cn.scrollbarGlyph).data(o.repeat,o.keyFun);u.enter().append(\"line\").classed(n.cn.scrollbarGlyph,!0).attr(\"stroke\",\"black\").attr(\"stroke-width\",n.scrollbarWidth).attr(\"stroke-linecap\",\"round\").attr(\"y1\",n.scrollbarWidth/2),u.attr(\"y2\",(function(t){return t.scrollbarState.barLength-n.scrollbarWidth/2})).attr(\"stroke-opacity\",(function(t){return t.columnDragInProgress||!t.scrollbarState.barWiggleRoom||r?0:.4})),u.transition().delay(0).duration(0),u.transition().delay(n.scrollbarHideDelay).duration(n.scrollbarHideDuration).attr(\"stroke-opacity\",0);var f=s.selectAll(\".\"+n.cn.scrollbarCaptureZone).data(o.repeat,o.keyFun);f.enter().append(\"line\").classed(n.cn.scrollbarCaptureZone,!0).attr(\"stroke\",\"white\").attr(\"stroke-opacity\",.01).attr(\"stroke-width\",n.scrollbarCaptureWidth).attr(\"stroke-linecap\",\"butt\").attr(\"y1\",0).on(\"mousedown\",(function(r){var n=i.event.y,a=this.getBoundingClientRect(),o=r.scrollbarState,s=n-a.top,l=i.scale.linear().domain([0,o.scrollableAreaHeight]).range([0,o.totalHeight]).clamp(!0);o.topY<=s&&s<=o.bottomY||L(e,t,null,l(s-o.barLength/2))(r)})).call(i.behavior.drag().origin((function(t){return i.event.stopPropagation(),t.scrollbarState.scrollbarScrollInProgress=!0,t})).on(\"drag\",L(e,t)).on(\"dragend\",(function(){}))),f.attr(\"y2\",(function(t){return t.scrollbarState.scrollableAreaHeight})),e._context.staticPlot&&(u.remove(),f.remove())}function b(t,e,r,a){var l=function(t){var e=t.selectAll(\".\"+n.cn.columnCells).data(o.repeat,o.keyFun);return e.enter().append(\"g\").classed(n.cn.columnCells,!0),e.exit().remove(),e}(r),u=function(t){var e=t.selectAll(\".\"+n.cn.columnCell).data(p.splitToCells,(function(t){return t.keyWithinBlock}));return e.enter().append(\"g\").classed(n.cn.columnCell,!0),e.exit().remove(),e}(l);!function(t){t.each((function(t,e){var r=t.calcdata.cells.font,n=t.column.specIndex,i={size:T(r.size,n,e),color:T(r.color,n,e),family:T(r.family,n,e)};t.rowNumber=t.key,t.align=T(t.calcdata.cells.align,n,e),t.cellBorderWidth=T(t.calcdata.cells.line.width,n,e),t.font=i}))}(u);var c=function(t){var e=t.selectAll(\".\"+n.cn.cellRect).data(o.repeat,(function(t){return t.keyWithinBlock}));return e.enter().append(\"rect\").classed(n.cn.cellRect,!0),e}(u);!function(t){t.attr(\"width\",(function(t){return t.column.columnWidth})).attr(\"stroke-width\",(function(t){return t.cellBorderWidth})).each((function(t){var e=i.select(this);d.stroke(e,T(t.calcdata.cells.line.color,t.column.specIndex,t.rowNumber)),d.fill(e,T(t.calcdata.cells.fill.color,t.column.specIndex,t.rowNumber))}))}(c);var f=function(t){var e=t.selectAll(\".\"+n.cn.cellTextHolder).data(o.repeat,(function(t){return t.keyWithinBlock}));return e.enter().append(\"g\").classed(n.cn.cellTextHolder,!0).style(\"shape-rendering\",\"geometricPrecision\"),e}(u),h=function(t){var e=t.selectAll(\".\"+n.cn.cellText).data(o.repeat,(function(t){return t.keyWithinBlock}));return e.enter().append(\"text\").classed(n.cn.cellText,!0).style(\"cursor\",(function(){return\"auto\"})).on(\"mousedown\",(function(){i.event.stopPropagation()})),e}(f);!function(t){t.each((function(t){s.font(i.select(this),t.font)}))}(h),_(h,e,a,t),D(u)}function _(t,e,r,o){t.text((function(t){var e=t.column.specIndex,r=t.rowNumber,i=t.value,o=\"string\"==typeof i,s=o&&i.match(/<br>/i),l=!o||s;t.mayHaveMarkup=o&&i.match(/[<&>]/);var u,c=\"string\"==typeof(u=i)&&u.match(n.latexCheck);t.latex=c;var f,h,p=c?\"\":T(t.calcdata.cells.prefix,e,r)||\"\",d=c?\"\":T(t.calcdata.cells.suffix,e,r)||\"\",v=c?null:T(t.calcdata.cells.format,e,r)||null,g=p+(v?a(v)(t.value):t.value)+d;if(t.wrappingNeeded=!t.wrapped&&!l&&!c&&(f=w(g)),t.cellHeightMayIncrease=s||c||t.mayHaveMarkup||(void 0===f?w(g):f),t.needsConvertToTspans=t.mayHaveMarkup||t.wrappingNeeded||t.latex,t.wrappingNeeded){var y=(\" 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k(t,e,r){t.transition().ease(n.releaseTransitionEase).duration(n.releaseTransitionDuration).attr(\"transform\",c(e.x,r))}function A(t){return\"cells\"===t.type}function M(t){return\"header\"===t.type}function S(t){return(t.rowBlocks.length?t.rowBlocks[0].auxiliaryBlocks:[]).reduce((function(t,e){return t+R(e,1/0)}),0)}function E(t,e,r){var n=m(e)[0];if(void 0!==n){var i=n.rowBlocks,a=n.calcdata,o=z(i,i.length),s=n.calcdata.groupHeight-S(n),l=a.scrollY=Math.max(0,Math.min(o-s,a.scrollY)),u=function(t,e,r){for(var n=[],i=0,a=0;a<t.length;a++){for(var o=t[a],s=o.rows,l=0,u=0;u<s.length;u++)l+=s[u].rowHeight;o.allRowsHeight=l,e<i+l&&e+r>i&&n.push(a),i+=l}return n}(i,l,s);1===u.length&&(u[0]===i.length-1?u.unshift(u[0]-1):u.push(u[0]+1)),u[0]%2&&u.reverse(),e.each((function(t,e){t.page=u[e],t.scrollY=l})),e.attr(\"transform\",(function(t){var e=z(t.rowBlocks,t.page)-t.scrollY;return c(0,e)})),t&&(C(t,r,e,u,n.prevPages,n,0),C(t,r,e,u,n.prevPages,n,1),x(r,t))}}function L(t,e,r,a){return function(o){var s=o.calcdata?o.calcdata:o,l=e.filter((function(t){return s.key===t.key})),u=r||s.scrollbarState.dragMultiplier,c=s.scrollY;s.scrollY=void 0===a?s.scrollY+u*i.event.dy:a;var f=l.selectAll(\".\"+n.cn.yColumn).selectAll(\".\"+n.cn.columnBlock).filter(A);return E(t,f,l),s.scrollY===c}}function C(t,e,r,n,i,a,o){n[o]!==i[o]&&(clearTimeout(a.currentRepaint[o]),a.currentRepaint[o]=setTimeout((function(){var a=r.filter((function(t,e){return e===o&&n[e]!==i[e]}));b(t,e,a,r),i[o]=n[o]})))}function P(t,e,r,a){return function(){var o=i.select(e.parentNode);o.each((function(t){var e=t.fragments;o.selectAll(\"tspan.line\").each((function(t,r){e[r].width=this.getComputedTextLength()}));var 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r=!t._context.staticPlot,a=t._fullLayout._paper.selectAll(\".\"+n.cn.table).data(e.map((function(e){var r=o.unwrap(e).trace;return h(t,r)})),o.keyFun);a.exit().remove(),a.enter().append(\"g\").classed(n.cn.table,!0).attr(\"overflow\",\"visible\").style(\"box-sizing\",\"content-box\").style(\"position\",\"absolute\").style(\"left\",0).style(\"overflow\",\"visible\").style(\"shape-rendering\",\"crispEdges\").style(\"pointer-events\",\"all\"),a.attr(\"width\",(function(t){return t.width+t.size.l+t.size.r})).attr(\"height\",(function(t){return t.height+t.size.t+t.size.b})).attr(\"transform\",(function(t){return c(t.translateX,t.translateY)}));var l=a.selectAll(\".\"+n.cn.tableControlView).data(o.repeat,o.keyFun),d=l.enter().append(\"g\").classed(n.cn.tableControlView,!0).style(\"box-sizing\",\"content-box\");if(r){var _=\"onwheel\"in document?\"wheel\":\"mousewheel\";d.on(\"mousemove\",(function(e){l.filter((function(t){return 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c=[\"\",\"0\",\"00\",\"000\",\"0000\",\"00000\",\"000000\",\"0000000\",\"00000000\",\"000000000\",\"0000000000\",\"00000000000\",\"000000000000\",\"0000000000000\",\"00000000000000\",\"000000000000000\",\"0000000000000000\",\"00000000000000000\",\"000000000000000000\",\"0000000000000000000\",\"00000000000000000000\",\"000000000000000000000\",\"0000000000000000000000\",\"00000000000000000000000\",\"000000000000000000000000\",\"0000000000000000000000000\"],f=[0,0,25,16,12,11,10,9,8,8,7,7,7,7,6,6,6,6,6,6,6,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5],h=[0,0,33554432,43046721,16777216,48828125,60466176,40353607,16777216,43046721,1e7,19487171,35831808,62748517,7529536,11390625,16777216,24137569,34012224,47045881,64e6,4084101,5153632,6436343,7962624,9765625,11881376,14348907,17210368,20511149,243e5,28629151,33554432,39135393,45435424,52521875,60466176];function p(t,e,r){r.negative=e.negative^t.negative;var n=t.length+e.length|0;r.length=n,n=n-1|0;var i=0|t.words[0],a=0|e.words[0],o=i*a,s=67108863&o,l=o/67108864|0;r.words[0]=s;for(var u=1;u<n;u++){for(var c=l>>>26,f=67108863&l,h=Math.min(u,e.length-1),p=Math.max(0,u-t.length+1);p<=h;p++){var d=u-p|0;c+=(o=(i=0|t.words[d])*(a=0|e.words[p])+f)/67108864|0,f=67108863&o}r.words[u]=0|f,l=0|c}return 0!==l?r.words[u]=0|l:r.length--,r.strip()}a.prototype.toString=function(t,e){var r;if(e=0|e||1,16===(t=t||10)||\"hex\"===t){r=\"\";for(var i=0,a=0,o=0;o<this.length;o++){var s=this.words[o],l=(16777215&(s<<i|a)).toString(16);r=0!=(a=s>>>24-i&16777215)||o!==this.length-1?c[6-l.length]+l+r:l+r,(i+=2)>=26&&(i-=26,o--)}for(0!==a&&(r=a.toString(16)+r);r.length%e!=0;)r=\"0\"+r;return 0!==this.negative&&(r=\"-\"+r),r}if(t===(0|t)&&t>=2&&t<=36){var u=f[t],p=h[t];r=\"\";var d=this.clone();for(d.negative=0;!d.isZero();){var v=d.modn(p).toString(t);r=(d=d.idivn(p)).isZero()?v+r:c[u-v.length]+v+r}for(this.isZero()&&(r=\"0\"+r);r.length%e!=0;)r=\"0\"+r;return 0!==this.negative&&(r=\"-\"+r),r}n(!1,\"Base 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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 this.clone().ineg()},a.prototype.ineg=function(){return this.isZero()||(this.negative^=1),this},a.prototype.iuor=function(t){for(;this.length<t.length;)this.words[this.length++]=0;for(var e=0;e<t.length;e++)this.words[e]=this.words[e]|t.words[e];return this.strip()},a.prototype.ior=function(t){return n(0==(this.negative|t.negative)),this.iuor(t)},a.prototype.or=function(t){return this.length>t.length?this.clone().ior(t):t.clone().ior(this)},a.prototype.uor=function(t){return this.length>t.length?this.clone().iuor(t):t.clone().iuor(this)},a.prototype.iuand=function(t){var e;e=this.length>t.length?t:this;for(var r=0;r<e.length;r++)this.words[r]=this.words[r]&t.words[r];return this.length=e.length,this.strip()},a.prototype.iand=function(t){return n(0==(this.negative|t.negative)),this.iuand(t)},a.prototype.and=function(t){return this.length>t.length?this.clone().iand(t):t.clone().iand(this)},a.prototype.uand=function(t){return 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,u=0,c=0|o[0],f=8191&c,h=c>>>13,p=0|o[1],d=8191&p,v=p>>>13,g=0|o[2],y=8191&g,m=g>>>13,x=0|o[3],b=8191&x,_=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],L=8191&E,C=E>>>13,P=0|o[7],O=8191&P,I=P>>>13,D=0|o[8],z=8191&D,R=D>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],U=8191&j,V=j>>>13,H=0|s[1],q=8191&H,G=H>>>13,Z=0|s[2],Y=8191&Z,W=Z>>>13,X=0|s[3],J=8191&X,K=X>>>13,$=0|s[4],Q=8191&$,tt=$>>>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,ut=st>>>13,ct=0|s[8],ft=8191&ct,ht=ct>>>13,pt=0|s[9],dt=8191&pt,vt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var gt=(u+(n=Math.imul(f,U))|0)+((8191&(i=(i=Math.imul(f,V))+Math.imul(h,U)|0))<<13)|0;u=((a=Math.imul(h,V))+(i>>>13)|0)+(gt>>>26)|0,gt&=67108863,n=Math.imul(d,U),i=(i=Math.imul(d,V))+Math.imul(v,U)|0,a=Math.imul(v,V);var yt=(u+(n=n+Math.imul(f,q)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,q)|0))<<13)|0;u=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(y,U),i=(i=Math.imul(y,V))+Math.imul(m,U)|0,a=Math.imul(m,V),n=n+Math.imul(d,q)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(v,q)|0,a=a+Math.imul(v,G)|0;var mt=(u+(n=n+Math.imul(f,Y)|0)|0)+((8191&(i=(i=i+Math.imul(f,W)|0)+Math.imul(h,Y)|0))<<13)|0;u=((a=a+Math.imul(h,W)|0)+(i>>>13)|0)+(mt>>>26)|0,mt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(y,q)|0,i=(i=i+Math.imul(y,G)|0)+Math.imul(m,q)|0,a=a+Math.imul(m,G)|0,n=n+Math.imul(d,Y)|0,i=(i=i+Math.imul(d,W)|0)+Math.imul(v,Y)|0,a=a+Math.imul(v,W)|0;var xt=(u+(n=n+Math.imul(f,J)|0)|0)+((8191&(i=(i=i+Math.imul(f,K)|0)+Math.imul(h,J)|0))<<13)|0;u=((a=a+Math.imul(h,K)|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(b,q)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,q)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(y,Y)|0,i=(i=i+Math.imul(y,W)|0)+Math.imul(m,Y)|0,a=a+Math.imul(m,W)|0,n=n+Math.imul(d,J)|0,i=(i=i+Math.imul(d,K)|0)+Math.imul(v,J)|0,a=a+Math.imul(v,K)|0;var bt=(u+(n=n+Math.imul(f,Q)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,Q)|0))<<13)|0;u=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=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,q)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,q)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,Y)|0,i=(i=i+Math.imul(b,W)|0)+Math.imul(_,Y)|0,a=a+Math.imul(_,W)|0,n=n+Math.imul(y,J)|0,i=(i=i+Math.imul(y,K)|0)+Math.imul(m,J)|0,a=a+Math.imul(m,K)|0,n=n+Math.imul(d,Q)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(v,Q)|0,a=a+Math.imul(v,tt)|0;var _t=(u+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;u=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=(i=Math.imul(L,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(M,q)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,q)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,Y)|0,i=(i=i+Math.imul(T,W)|0)+Math.imul(k,Y)|0,a=a+Math.imul(k,W)|0,n=n+Math.imul(b,J)|0,i=(i=i+Math.imul(b,K)|0)+Math.imul(_,J)|0,a=a+Math.imul(_,K)|0,n=n+Math.imul(y,Q)|0,i=(i=i+Math.imul(y,tt)|0)+Math.imul(m,Q)|0,a=a+Math.imul(m,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(v,rt)|0,a=a+Math.imul(v,nt)|0;var wt=(u+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;u=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(O,U),i=(i=Math.imul(O,V))+Math.imul(I,U)|0,a=Math.imul(I,V),n=n+Math.imul(L,q)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,q)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,Y)|0,i=(i=i+Math.imul(M,W)|0)+Math.imul(S,Y)|0,a=a+Math.imul(S,W)|0,n=n+Math.imul(T,J)|0,i=(i=i+Math.imul(T,K)|0)+Math.imul(k,J)|0,a=a+Math.imul(k,K)|0,n=n+Math.imul(b,Q)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,Q)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(y,rt)|0,i=(i=i+Math.imul(y,nt)|0)+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(v,at)|0,a=a+Math.imul(v,ot)|0;var Tt=(u+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ut)|0)+Math.imul(h,lt)|0))<<13)|0;u=((a=a+Math.imul(h,ut)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(z,U),i=(i=Math.imul(z,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(O,q)|0,i=(i=i+Math.imul(O,G)|0)+Math.imul(I,q)|0,a=a+Math.imul(I,G)|0,n=n+Math.imul(L,Y)|0,i=(i=i+Math.imul(L,W)|0)+Math.imul(C,Y)|0,a=a+Math.imul(C,W)|0,n=n+Math.imul(M,J)|0,i=(i=i+Math.imul(M,K)|0)+Math.imul(S,J)|0,a=a+Math.imul(S,K)|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(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(y,at)|0,i=(i=i+Math.imul(y,ot)|0)+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ut)|0)+Math.imul(v,lt)|0,a=a+Math.imul(v,ut)|0;var kt=(u+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;u=((a=a+Math.imul(h,ht)|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(z,q)|0,i=(i=i+Math.imul(z,G)|0)+Math.imul(R,q)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(O,Y)|0,i=(i=i+Math.imul(O,W)|0)+Math.imul(I,Y)|0,a=a+Math.imul(I,W)|0,n=n+Math.imul(L,J)|0,i=(i=i+Math.imul(L,K)|0)+Math.imul(C,J)|0,a=a+Math.imul(C,K)|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(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(y,lt)|0,i=(i=i+Math.imul(y,ut)|0)+Math.imul(m,lt)|0,a=a+Math.imul(m,ut)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(v,ft)|0,a=a+Math.imul(v,ht)|0;var At=(u+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,vt)|0)+Math.imul(h,dt)|0))<<13)|0;u=((a=a+Math.imul(h,vt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,q),i=(i=Math.imul(B,G))+Math.imul(N,q)|0,a=Math.imul(N,G),n=n+Math.imul(z,Y)|0,i=(i=i+Math.imul(z,W)|0)+Math.imul(R,Y)|0,a=a+Math.imul(R,W)|0,n=n+Math.imul(O,J)|0,i=(i=i+Math.imul(O,K)|0)+Math.imul(I,J)|0,a=a+Math.imul(I,K)|0,n=n+Math.imul(L,Q)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,Q)|0,a=a+Math.imul(C,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(b,lt)|0,i=(i=i+Math.imul(b,ut)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ut)|0,n=n+Math.imul(y,ft)|0,i=(i=i+Math.imul(y,ht)|0)+Math.imul(m,ft)|0,a=a+Math.imul(m,ht)|0;var Mt=(u+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,vt)|0)+Math.imul(v,dt)|0))<<13)|0;u=((a=a+Math.imul(v,vt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,Y),i=(i=Math.imul(B,W))+Math.imul(N,Y)|0,a=Math.imul(N,W),n=n+Math.imul(z,J)|0,i=(i=i+Math.imul(z,K)|0)+Math.imul(R,J)|0,a=a+Math.imul(R,K)|0,n=n+Math.imul(O,Q)|0,i=(i=i+Math.imul(O,tt)|0)+Math.imul(I,Q)|0,a=a+Math.imul(I,tt)|0,n=n+Math.imul(L,rt)|0,i=(i=i+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,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,ut)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ut)|0,n=n+Math.imul(b,ft)|0,i=(i=i+Math.imul(b,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var St=(u+(n=n+Math.imul(y,dt)|0)|0)+((8191&(i=(i=i+Math.imul(y,vt)|0)+Math.imul(m,dt)|0))<<13)|0;u=((a=a+Math.imul(m,vt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,J),i=(i=Math.imul(B,K))+Math.imul(N,J)|0,a=Math.imul(N,K),n=n+Math.imul(z,Q)|0,i=(i=i+Math.imul(z,tt)|0)+Math.imul(R,Q)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(O,rt)|0,i=(i=i+Math.imul(O,nt)|0)+Math.imul(I,rt)|0,a=a+Math.imul(I,nt)|0,n=n+Math.imul(L,at)|0,i=(i=i+Math.imul(L,ot)|0)+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ut)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ut)|0,n=n+Math.imul(T,ft)|0,i=(i=i+Math.imul(T,ht)|0)+Math.imul(k,ft)|0,a=a+Math.imul(k,ht)|0;var Et=(u+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,vt)|0)+Math.imul(_,dt)|0))<<13)|0;u=((a=a+Math.imul(_,vt)|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(z,rt)|0,i=(i=i+Math.imul(z,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(O,at)|0,i=(i=i+Math.imul(O,ot)|0)+Math.imul(I,at)|0,a=a+Math.imul(I,ot)|0,n=n+Math.imul(L,lt)|0,i=(i=i+Math.imul(L,ut)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ut)|0,n=n+Math.imul(M,ft)|0,i=(i=i+Math.imul(M,ht)|0)+Math.imul(S,ft)|0,a=a+Math.imul(S,ht)|0;var Lt=(u+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,vt)|0)+Math.imul(k,dt)|0))<<13)|0;u=((a=a+Math.imul(k,vt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=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(z,at)|0,i=(i=i+Math.imul(z,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(O,lt)|0,i=(i=i+Math.imul(O,ut)|0)+Math.imul(I,lt)|0,a=a+Math.imul(I,ut)|0,n=n+Math.imul(L,ft)|0,i=(i=i+Math.imul(L,ht)|0)+Math.imul(C,ft)|0,a=a+Math.imul(C,ht)|0;var Ct=(u+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,vt)|0)+Math.imul(S,dt)|0))<<13)|0;u=((a=a+Math.imul(S,vt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=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(z,lt)|0,i=(i=i+Math.imul(z,ut)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ut)|0,n=n+Math.imul(O,ft)|0,i=(i=i+Math.imul(O,ht)|0)+Math.imul(I,ft)|0,a=a+Math.imul(I,ht)|0;var Pt=(u+(n=n+Math.imul(L,dt)|0)|0)+((8191&(i=(i=i+Math.imul(L,vt)|0)+Math.imul(C,dt)|0))<<13)|0;u=((a=a+Math.imul(C,vt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ut))+Math.imul(N,lt)|0,a=Math.imul(N,ut),n=n+Math.imul(z,ft)|0,i=(i=i+Math.imul(z,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var Ot=(u+(n=n+Math.imul(O,dt)|0)|0)+((8191&(i=(i=i+Math.imul(O,vt)|0)+Math.imul(I,dt)|0))<<13)|0;u=((a=a+Math.imul(I,vt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var It=(u+(n=n+Math.imul(z,dt)|0)|0)+((8191&(i=(i=i+Math.imul(z,vt)|0)+Math.imul(R,dt)|0))<<13)|0;u=((a=a+Math.imul(R,vt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863;var Dt=(u+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,vt))+Math.imul(N,dt)|0))<<13)|0;return u=((a=Math.imul(N,vt))+(i>>>13)|0)+(Dt>>>26)|0,Dt&=67108863,l[0]=gt,l[1]=yt,l[2]=mt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Pt,l[16]=Ot,l[17]=It,l[18]=Dt,0!==u&&(l[19]=u,r.length++),r};function v(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),u=Math.max(0,a-t.length+1);u<=l;u++){var c=a-u,f=(0|t.words[c])*(0|e.words[u]),h=67108863&f;s=67108863&(h=h+s|0),i+=(o=(o=o+(f/67108864|0)|0)+(h>>>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):v(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),u=Math.sin(2*Math.PI/s),c=0;c<i;c+=s)for(var f=l,h=u,p=0;p<o;p++){var d=r[c+p],v=n[c+p],g=r[c+p+o],y=n[c+p+o],m=f*g-h*y;y=f*y+h*g,g=m,r[c+p]=d+g,n[c+p]=v+y,r[c+p+o]=d-g,n[c+p+o]=v-y,p!==s&&(m=l*f-u*h,h=l*h+u*f,f=m)}},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),u=new Array(n),c=new Array(n),f=new Array(n),h=r.words;h.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,u,n),this.transform(o,a,s,l,n,i),this.transform(u,a,c,f,n,i);for(var p=0;p<n;p++){var d=s[p]*c[p]-l[p]*f[p];l[p]=s[p]*f[p]+l[p]*c[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,h,a,n,i),this.conjugate(h,a,n),this.normalize13b(h,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),v(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 u=0;u<o;u++)l.words[u]=this.words[u];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,u=0;u<this.length;u++)this.words[u]=this.words[u+o];else this.words[0]=0,this.length=1;var c=0;for(u=this.length-1;u>=0&&(0!==c||u>=i);u--){var f=0|this.words[u];this.words[u]=c<<26-a|f>>>a,c=f&s}return l&&0!==c&&(l.words[l.length++]=c),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 u=0;u<s.length;u++)s.words[u]=0}var c=n.clone()._ishlnsubmul(i,1,l);0===c.negative&&(n=c,s&&(s.words[l]=1));for(var f=l-1;f>=0;f--){var h=67108864*(0|n.words[i.length+f])+(0|n.words[i.length+f-1]);for(h=Math.min(h/o|0,67108863),n._ishlnsubmul(i,h,f);0!==n.negative;)h--,n.negative=0,n._ishlnsubmul(i,1,f),n.isZero()||(n.negative^=1);s&&(s.words[f]=h)}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),u=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++u;for(var c=r.clone(),f=e.clone();!e.isZero();){for(var h=0,p=1;0==(e.words[0]&p)&&h<26;++h,p<<=1);if(h>0)for(e.iushrn(h);h-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(c),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,v=1;0==(r.words[0]&v)&&d<26;++d,v<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(c),l.isub(f)),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(u)}},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 u=0,c=1;0==(e.words[0]&c)&&u<26;++u,c<<=1);if(u>0)for(e.iushrn(u);u-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var f=0,h=1;0==(r.words[0]&h)&&f<26;++f,h<<=1);if(f>0)for(r.iushrn(f);f-- >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 m(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(){m.call(this,\"k256\",\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f\")}function b(){m.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}function _(){m.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}function w(){m.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)}m.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},m.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},m.prototype.split=function(t,e){t.iushrn(this.n,0,e)},m.prototype.imulK=function(t){return t.imul(this.k)},i(x,m),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(b,m),i(_,m),i(w,m),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 b;else if(\"p192\"===t)e=new _;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(),u=this.m.subn(1).iushrn(1),c=this.m.bitLength();for(c=new a(2*c*c).toRed(this);0!==this.pow(c,u).cmp(l);)c.redIAdd(l);for(var f=this.pow(c,i),h=this.pow(t,i.addn(1).iushrn(1)),p=this.pow(t,i),d=o;0!==p.cmp(s);){for(var v=p,g=0;0!==v.cmp(s);g++)v=v.redSqr();n(g<d);var y=this.pow(f,new a(1).iushln(d-g-1));h=h.redMul(y),f=y.redSqr(),p=p.redMul(f),d=g}return h},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 u=e.words[n],c=l-1;c>=0;c--){var 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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&&((u=t[l-2]).right===a?u.right=s:u.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 u;o=r(o),a.left=o.right,o.right=a,o._color=a._color,a._color=0,i(a),i(o),l>1&&((u=t[l-2]).right===a?u.right=o:u.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(f,\"key\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(f,\"value\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(f,\"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}),f.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(f,\"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}}),f.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])},f.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(f,\"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}})},7453:function(t,e,r){\"use strict\";t.exports=function(t,e){var r=new c(t);return r.update(e),r};var n=r(9557),i=r(1681),a=r(1011),o=r(2864),s=r(8468),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]);function u(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function c(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.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\",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 f=c.prototype;function h(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}f.update=function(t){function e(e,r,n){if(n in t){var i,a=t[n],o=this[n];(e?Array.isArray(a)&&Array.isArray(a[0]):Array.isArray(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),u=e.bind(this,!0,(function(t){if(Array.isArray(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]})),c=!1,f=!1;if(\"bounds\"in t)for(var h=t.bounds,p=0;p<2;++p)for(var d=0;d<3;++d)h[p][d]!==this.bounds[p][d]&&(f=!0),this.bounds[p][d]=h[p][d];if(\"ticks\"in t)for(r=t.ticks,c=!0,this.autoTicks=!1,p=0;p<3;++p)this.tickSpacing[p]=0;else a(\"tickSpacing\")&&(this.autoTicks=!0,f=!0);if(this._firstInit&&(\"ticks\"in t||\"tickSpacing\"in t||(this.autoTicks=!0),f=!0,c=!0,this._firstInit=!1),f&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),c=!0),c){for(p=0;p<3;++p)r[p].sort((function(t,e){return t.x-e.x}));s.equal(r,this.ticks)?c=!1:this.ticks=r}o(\"tickEnable\"),l(\"tickFont\")&&(c=!0),a(\"tickSize\"),a(\"tickAngle\"),a(\"tickPad\"),u(\"tickColor\");var v=l(\"labels\");l(\"labelFont\")&&(v=!0),o(\"labelEnable\"),a(\"labelSize\"),a(\"labelPad\"),u(\"labelColor\"),o(\"lineEnable\"),o(\"lineMirror\"),a(\"lineWidth\"),u(\"lineColor\"),o(\"lineTickEnable\"),o(\"lineTickMirror\"),a(\"lineTickLength\"),a(\"lineTickWidth\"),u(\"lineTickColor\"),o(\"gridEnable\"),a(\"gridWidth\"),u(\"gridColor\"),o(\"zeroEnable\"),u(\"zeroLineColor\"),a(\"zeroLineWidth\"),o(\"backgroundEnable\"),u(\"backgroundColor\"),this._text?this._text&&(v||c)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&c&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var p=[new h,new h,new h];function d(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,u=n[e],c=0;c<3;++c)if(e!==c){var f=a,h=s,p=o,d=l;u&1<<c&&(f=s,h=a,p=l,d=o),f[c]=r[0][c],h[c]=r[1][c],i[c]>0?(p[c]=-1,d[c]=0):(p[c]=0,d[c]=1)}}var v=[0,0,0],g={model:l,view:l,projection:l,_ortho:!1};f.isOpaque=function(){return!0},f.isTransparent=function(){return!1},f.drawTransparent=function(t){};var y=[0,0,0],m=[0,0,0],x=[0,0,0];f.draw=function(t){t=t||g;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),f=c.cubeEdges,h=c.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*b+i[7]*_+i[11]*w+i[15]*T)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=f[A],this.lastCubeProps.axis[A]=h[A];var M=p;for(A=0;A<3;++A)d(p[A],A,this.bounds,f,h);e=this.gl;var S,E,L,C=v;for(A=0;A<3;++A)this.backgroundEnable[A]?C[A]=h[A]:C[A]=0;for(this._background.draw(r,n,i,a,C,this.backgroundColor),this._lines.bind(r,n,i,this),A=0;A<3;++A){var P=[0,0,0];h[A]>0?P[A]=a[1][A]:P[A]=a[0][A];for(var O=0;O<2;++O){var I=(A+1+O)%3,D=(A+1+(1^O))%3;this.gridEnable[I]&&this._lines.drawGrid(I,D,this.bounds,P,this.gridColor[I],this.gridWidth[I]*this.pixelRatio)}for(O=0;O<2;++O)I=(A+1+O)%3,D=(A+1+(1^O))%3,this.zeroEnable[D]&&Math.min(a[0][D],a[1][D])<=0&&Math.max(a[0][D],a[1][D])>=0&&this._lines.drawZero(I,D,this.bounds,P,this.zeroLineColor[D],this.zeroLineWidth[D]*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 z=u(y,M[A].primalMinor),R=u(m,M[A].mirrorMinor),F=this.lineTickLength;for(O=0;O<3;++O){var B=k/r[5*O];z[O]*=F[O]*B,R[O]*=F[O]*B}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,z,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){(L=[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,H=u(x,M[A].primalOffset);for(O=0;O<3;++O)this.lineTickEnable[A]&&(H[O]+=k*U[O]*Math.max(this.lineTickLength[O],0)/r[5*O]);var q=[0,0,0];if(q[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]),L=[0,0,0],j(A,U,V),O=0;O<3;++O)H[O]+=k*U[O]*this.tickPad[O]/r[5*O];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],H,this.tickColor[A],q,L,S)}if(this.labelEnable[A]){for(E=0,L=[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]),O=0;O<3;++O)H[O]+=k*U[O]*this.labelPad[O]/r[5*O];H[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],H,this.labelColor[A],[0,0,0],L,S)}}this._text.unbind()},f.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},1011:function(t,e,r){\"use strict\";t.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var u=(l+1)%3,c=(l+2)%3,f=[0,0,0],h=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=p,h[l]=p;for(var d=-1;d<=1;d+=2){f[u]=d;for(var v=-1;v<=1;v+=2)f[c]=v,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var g=u;u=c,c=g}var y=n(t,new Float32Array(e)),m=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}],m),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,y,x,b)};var n=r(5827),i=r(2944),a=r(1943).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()}},2864:function(t,e,r){\"use strict\";t.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var m=0,x=0;x<2;++x){c[2]=a[x][2];for(var b=0;b<2;++b){c[1]=a[b][1];for(var _=0;_<2;++_)c[0]=a[_][0],h(l[m],c,s),m+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)u[x][k]=l[x][k]/T;p&&(u[x][2]*=-1),T<0&&(w<0||u[x][2]<u[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,L=-1,C=0;C<2;++C){var P=(I=C<<A)+(C<<M)+(1-C<<S),O=I+(1-C<<M)+(C<<S);o(u[I],u[P],u[O],f)<0||(C?E=1:L=1)}if(E<0||L<0)L>E&&(w|=1<<A);else{for(C=0;C<2;++C){P=(I=C<<A)+(C<<M)+(1-C<<S),O=I+(1-C<<M)+(C<<S);var I,D=d([l[I],l[P],l[O],l[I+(1<<M)+(1<<S)]]);C?E=D:L=D}L>E&&(w|=1<<A)}}}var z=7^w,R=-1;for(x=0;x<8;++x)x!==w&&x!==z&&(R<0||u[R][1]>u[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x)(N=R^1<<x)!==w&&N!==z&&(F<0&&(F=N),(S=u[N])[0]<u[F][0]&&(F=N));var B=-1;for(x=0;x<3;++x){var N;(N=R^1<<x)!==w&&N!==z&&N!==F&&(B<0&&(B=N),(S=u[N])[0]>u[B][0]&&(B=N))}var j=v;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===z?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=g,H=w;for(A=0;A<3;++A)V[A]=H&1<<A?-1:1;return y};var n=r(2288),i=r(104),a=r(4670),o=r(417),s=new Array(16),l=new Array(8),u=new Array(8),c=new Array(3),f=[0,0,0];function h(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],u[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],u=s[0]/s[3]-n,c=s[1]/s[3]-i,f=l[0]/l[3]-n,h=l[1]/l[3]-i;o+=Math.abs(u*h-c*f)}return o}var v=[1,1,1],g=[0,0,0],y={cubeEdges:v,axis:g}},1681:function(t,e,r){\"use strict\";t.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],u=[0,0,0],c=[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 f=0;f<3;++f){for(var h=o.length/3|0,d=0;d<r[f].length;++d){var v=+r[f][d].x;o.push(v,0,1,v,1,1,v,0,-1,v,0,-1,v,1,1,v,1,-1)}var g=o.length/3|0;s[f]=h,l[f]=g-h,h=o.length/3|0;for(var y=0;y<r[f].length;++y)v=+r[f][y].x,o.push(v,0,1,v,1,1,v,0,-1,v,0,-1,v,1,1,v,1,-1);g=o.length/3|0,u[f]=h,c[f]=g-h}var m=n(t,new Float32Array(o)),x=i(t,[{buffer:m,type:t.FLOAT,size:3,stride:0,offset:0}]),b=a(t);return b.attributes.position.location=0,new p(t,m,x,b,l,s,c,u)};var n=r(5827),i=r(2944),a=r(1943).j,o=[0,0,0],s=[0,0,0],l=[0,0,0],u=[0,0,0],c=[1,1];function f(t){return t[0]=t[1]=t[2]=0,t}function h(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,c[0]=this.gl.drawingBufferWidth,c[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=c,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,i){var a=f(s);this.shader.uniforms.majorAxis=s,a[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=a;var o,c=h(u,r);c[t]+=e[0][t],this.shader.uniforms.offset=c,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=n,(o=f(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=f(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=f(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=f(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 c=f(s);c[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=c;var p=h(u,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=f(o);d[t]=1,this.shader.uniforms.majorAxis=d;var v=f(l);v[t]=1,this.shader.uniforms.screenAxis=v,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=f(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var c=h(u,n);c[t]+=r[0][t],this.shader.uniforms.offset=c;var p=f(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()}},1943:function(t,e,r){\"use strict\";var n=r(6832),i=r(5158),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.j=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}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);e.f=function(t){return i(t,s,l,null,[{name:\"position\",type:\"vec3\"}])};var u=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}\"]),c=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,u,c,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},9557:function(t,e,r){\"use strict\";t.exports=function(t,e,r,i,o,l){var u=n(t),f=a(t,[{buffer:u,size:3}]),h=s(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,i,o,l),p};var n=r(5827),a=r(2944),o=r(875),s=r(1943).f,l=window||i.global||{},u=l.__TEXT_CACHE||{};function c(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 f=c.prototype,h=[0,0];f.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,h[0]=this.gl.drawingBufferWidth,h[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=h},f.unbind=function(){this.vao.unbind()},f.update=function(t,e,r,n,i){var a=[];function s(t,e,r,n,i,s){var l=u[r];l||(l=u[r]={});var c=l[e];c||(c=l[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,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:i,styletags:s}));for(var f=(n||12)/12,h=c.positions,p=c.cells,d=0,v=p.length;d<v;++d)for(var g=p[d],y=2;y>=0;--y){var m=h[g[y]];a.push(f*m[0],-f*m[1],t)}}for(var l=[0,0,0],c=[0,0,0],f=[0,0,0],h=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){f[d]=a.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),h[d]=(a.length/3|0)-f[d],l[d]=a.length/3|0;for(var v=0;v<n[d].length;++v)n[d][v].text&&s(n[d][v].x,n[d][v].text,n[d][v].font||i,n[d][v].fontSize||12,1.25,p);c[d]=(a.length/3|0)-l[d]}this.buffer.update(a),this.tickOffset=l,this.tickCount=c,this.labelOffset=f,this.labelCount=h},f.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]))},f.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]))},f.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}},8468: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,u=o%a;o<0?(l=0|-Math.ceil(l),u=0|-u):(l=0|Math.floor(l),u|=0);var c=\"\"+l;if(o<0&&(c=\"-\"+c),i){for(var f=\"\"+u;f.length<i;)f=\"0\"+f;return c+\".\"+f}return c}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}},2771:function(t,e,r){\"use strict\";t.exports=function(t,e,r,l,f){var h=e.model||u,p=e.view||u,y=e.projection||u,m=e._ortho||!1,x=t.bounds,b=(f=f||a(h,p,y,x,m)).axis;o(c,p,h),o(c,y,c);for(var _=v,w=0;w<3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var T=n(s(c,c));s(c,c);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(b[k]<0!=!!w){S[k]=x[w][k];for(var L=0;L<2;++L){S[A]=x[L^w][A];for(var C=0;C<2;++C)S[M]=x[C^L^w][M],E.push(S.slice())}var P=m?5:4;for(L=P;L===P;++L){if(0===E.length)continue t;E=i.positive(E,T[L])}for(L=0;L<E.length;++L){M=E[L];var O=d(g,c,M,r,l);for(C=0;C<3;++C)_[C].lo=Math.min(_[C].lo,M[C]),_[C].hi=Math.max(_[C].hi,M[C]),C!==k&&(_[C].pixelsPerDataUnit=Math.min(_[C].pixelsPerDataUnit,Math.abs(O[C])))}}}}return _};var n=r(5795),i=r(4670),a=r(2864),o=r(104),s=r(2142),l=r(6342),u=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),c=new Float32Array(16);function f(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var h=[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=h,s=p,u=0;u<3;++u)s[u]=o[u]=r[u];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 c=(o[0]/o[3]-s[0]/s[3])*n,f=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(c*c+f*f)}return t}var v=[new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0)],g=[0,0,0]},5827:function(t,e,r){\"use strict\";var n=r(5306),i=r(7498),a=r(5050),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 u(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 c(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=u(this.gl,this.type,this.length,this.usage,t.data,e):this.length=u(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=u(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 f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?c(t,\"uint16\"):c(t,\"float32\"),this.length=u(this.gl,this.type,this.length,this.usage,e<0?f:f.subarray(0,t.length),e),n.free(f)}else if(\"object\"==typeof t&&\"number\"==typeof t.length)this.length=u(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}},1140:function(t,e,r){\"use strict\";var n=r(2858);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,u=1/0,c=-1/0,f=1/0,h=-1/0,p=null,d=null,v=[],g=1/0,y=!1,m=0;m<r.length;m++){var x=r[m];s=Math.min(x[0],s),l=Math.max(x[0],l),u=Math.min(x[1],u),c=Math.max(x[1],c),f=Math.min(x[2],f),h=Math.max(x[2],h);var b=i[m];if(n.length(b)>o&&(o=n.length(b)),m){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(g=Math.min(g,_),y=!1):y=!0}y||(p=x,d=b),v.push(b)}var w=[s,u,f],T=[l,c,h];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var k=1/o;isFinite(g)||(g=1),a.vectorScale=g;var A=t.coneSize||.5;t.absoluteConeSize&&(A=t.absoluteConeSize*k),a.coneScale=A,m=0;for(var M=0;m<r.length;m++)for(var S=(x=r[m])[0],E=x[1],L=x[2],C=v[m],P=n.length(C)*k,O=0;O<8;O++){a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vertexIntensity.push(P,P,P),a.vertexIntensity.push(P,P,P);var I=a.positions.length;a.cells.push([I-6,I-5,I-4],[I-3,I-2,I-1])}return a};var i=r(7234);t.exports.createMesh=r(5028),t.exports.createConeMesh=function(e,r){return t.exports.createMesh(e,r,{shaders:i,traceType:\"cone\"})}},5028:function(t,e,r){\"use strict\";var n=r(5158),i=r(5827),a=r(2944),o=r(8931),s=r(104),l=r(7437),u=r(5050),c=r(9156),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e,r,n,i,a,o,s,l,u,c){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=u,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=c,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=f,this._view=f,this._projection=f,this._resolution=[1,1]}var p=h.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=c({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 u(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=[],f=[];this.cells=r,this.positions=n,this.vectors=i;var h=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,v=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],v=+t.vertexIntensityBounds[1];else for(var g=0;g<p.length;++g){var y=p[g];d=Math.min(d,y),v=Math.max(v,y)}else for(g=0;g<n.length;++g)y=n[g][2],d=Math.min(d,y),v=Math.max(v,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 m=n[g],x=0;x<3;++x)!isNaN(m[x])&&isFinite(m[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],m[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],m[x]));var b=0;t:for(g=0;g<r.length;++g){var _=r[g];if(3===_.length){for(x=0;x<3;++x){m=n[T=_[x]];for(var w=0;w<3;++w)if(isNaN(m[w])||!isFinite(m[w]))continue t}for(x=0;x<3;++x){var T;m=n[T=_[2-x]],a.push(m[0],m[1],m[2],m[3]);var k=i[T];o.push(k[0],k[1],k[2],k[3]||0);var A,M=h;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)/(v-d),0]:[(m[2]-d)/(v-d),0],l.push(A[0],A[1]),f.push(g)}b+=1}}this.triangleCount=b,this.trianglePositions.update(a),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(f))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,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 u={model:r,view:n,projection:i,inverseModel:f.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};u.inverseModel=l(u.inverseModel,u.model),e.disable(e.CULL_FACE),this.texture.bind(0);var c=new Array(16);for(s(c,u.view,u.model),s(c,u.projection,c),l(c,c),o=0;o<3;++o)u.eyePosition[o]=c[12+o]/c[15];var h=c[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*c[4*o+3];for(o=0;o<3;++o){for(var p=c[12+o],d=0;d<3;++d)p+=c[4*d+o]*this.lightPosition[d];u.lightPosition[o]=p/h}if(this.triangleCount>0){var v=this.triShader;v.bind(),v.uniforms=u,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||f,n=t.view||f,i=t.projection||f,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),c=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),f=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));f.generateMipmap(),f.minFilter=t.LINEAR_MIPMAP_LINEAR,f.magFilter=t.LINEAR;var p=i(t),d=i(t),v=i(t),g=i(t),y=i(t),m=new h(t,f,l,c,p,d,y,v,g,a(t,[{buffer:p,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:v,type:t.FLOAT,size:4},{buffer:g,type:t.FLOAT,size:2},{buffer:d,type:t.FLOAT,size:4}]),r.traceType||\"cone\");return m.update(e),m}},7234:function(t,e,r){var n=r(6832),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\"}]}},1950: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\"}},6603:function(t,e,r){var n=r(1950);t.exports=function(t){return n[t]}},3110:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl,r=n(e),o=i(e,[{buffer:r,type:e.FLOAT,size:3,offset:0,stride:40},{buffer:r,type:e.FLOAT,size:4,offset:12,stride:40},{buffer:r,type:e.FLOAT,size:3,offset:28,stride:40}]),l=a(e);l.attributes.position.location=0,l.attributes.color.location=1,l.attributes.offset.location=2;var u=new s(e,r,o,l);return u.update(t),u};var n=r(5827),i=r(2944),a=r(7667),o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(t,e,r,n){this.gl=t,this.shader=n,this.buffer=e,this.vao=r,this.pixelRatio=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.lineWidth=[1,1,1],this.capSize=[10,10,10],this.lineCount=[0,0,0],this.lineOffset=[0,0,0],this.opacity=1,this.hasAlpha=!1}var l=s.prototype;function u(t,e){for(var r=0;r<3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}l.isOpaque=function(){return!this.hasAlpha},l.isTransparent=function(){return this.hasAlpha},l.drawTransparent=l.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||o,i=r.projection=t.projection||o;r.model=t.model||o,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var a=n[12],s=n[13],l=n[14],u=n[15],c=(t._ortho?2:1)*this.pixelRatio*(i[3]*a+i[7]*s+i[11]*l+i[15]*u)/e.drawingBufferHeight;this.vao.bind();for(var f=0;f<3;++f)e.lineWidth(this.lineWidth[f]*this.pixelRatio),r.capSize=this.capSize[f]*c,this.lineCount[f]&&e.drawArrays(e.LINES,this.lineOffset[f],this.lineCount[f]);this.vao.unbind()};var c=function(){for(var t=new Array(3),e=0;e<3;++e){for(var r=[],n=1;n<=2;++n)for(var i=-1;i<=1;i+=2){var a=[0,0,0];a[(n+e)%3]=i,r.push(a)}t[e]=r}return t}();function f(t,e,r,n){for(var i=c[n],a=0;a<i.length;++a){var o=i[a];t.push(e[0],e[1],e[2],r[0],r[1],r[2],r[3],o[0],o[1],o[2])}return i.length}l.update=function(t){\"lineWidth\"in(t=t||{})&&(this.lineWidth=t.lineWidth,Array.isArray(this.lineWidth)||(this.lineWidth=[this.lineWidth,this.lineWidth,this.lineWidth])),\"capSize\"in t&&(this.capSize=t.capSize,Array.isArray(this.capSize)||(this.capSize=[this.capSize,this.capSize,this.capSize])),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var e=t.color||[[0,0,0],[0,0,0],[0,0,0]],r=t.position,n=t.error;if(Array.isArray(e[0])||(e=[e,e,e]),r&&n){var i=[],a=r.length,o=0;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.lineCount=[0,0,0];for(var s=0;s<3;++s){this.lineOffset[s]=o;t:for(var l=0;l<a;++l){for(var c=r[l],h=0;h<3;++h)if(isNaN(c[h])||!isFinite(c[h]))continue t;var p,d=n[l],v=e[s];Array.isArray(v[0])&&(v=e[l]),3===v.length?v=[v[0],v[1],v[2],1]:4===v.length&&(v=[v[0],v[1],v[2],v[3]],!this.hasAlpha&&v[3]<1&&(this.hasAlpha=!0)),isNaN(d[0][s])||isNaN(d[1][s])||(d[0][s]<0&&((p=c.slice())[s]+=d[0][s],i.push(c[0],c[1],c[2],v[0],v[1],v[2],v[3],0,0,0,p[0],p[1],p[2],v[0],v[1],v[2],v[3],0,0,0),u(this.bounds,p),o+=2+f(i,p,v,s)),d[1][s]>0&&((p=c.slice())[s]+=d[1][s],i.push(c[0],c[1],c[2],v[0],v[1],v[2],v[3],0,0,0,p[0],p[1],p[2],v[0],v[1],v[2],v[3],0,0,0),u(this.bounds,p),o+=2+f(i,p,v,s)))}this.lineCount[s]=o-this.lineOffset[s]}this.buffer.update(i)}},l.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()}},7667:function(t,e,r){\"use strict\";var n=r(6832),i=r(5158),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, offset;\\nattribute vec4 color;\\nuniform mat4 model, view, projection;\\nuniform float capSize;\\nvarying vec4 fragColor;\\nvarying vec3 fragPosition;\\n\\nvoid main() {\\n  vec4 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\"}])}},4234:function(t,e,r){\"use strict\";var n=r(8931);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 u=t.getExtension(\"WEBGL_draw_buffers\");if(!l&&u&&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,u),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 c=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>c||r<0||r>c)throw new Error(\"gl-fbo: Parameters are too large for FBO\");var f=1;if(\"color\"in(n=n||{})){if((f=Math.max(0|n.color,0))<0)throw new Error(\"gl-fbo: Must specify a nonnegative number of colors\");if(f>1){if(!u)throw new Error(\"gl-fbo: Multiple draw buffer extension not supported\");if(f>t.getParameter(u.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error(\"gl-fbo: Context does not support \"+f+\" draw buffers\")}}var h=t.UNSIGNED_BYTE,p=t.getExtension(\"OES_texture_float\");if(n.float&&f>0){if(!p)throw new Error(\"gl-fbo: Context does not support floating point textures\");h=t.FLOAT}else n.preferFloat&&f>0&&p&&(h=t.FLOAT);var v=!0;\"depth\"in n&&(v=!!n.depth);var g=!1;return\"stencil\"in n&&(g=!!n.stencil),new d(t,e,r,h,f,v,g,u)};var i,a,o,s,l=null;function u(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function c(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function f(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 h(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 v=this,g=[0|e,0|r];Object.defineProperties(g,{0:{get:function(){return v._shape[0]},set:function(t){return v.width=t}},1:{get:function(){return v._shape[1]},set:function(t){return v.height=t}}}),this._shapeVector=g,function(t){var e=u(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,v=t._useDepth,g=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var y=0;y<o;++y)t.color[y]=h(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 m=r.getExtension(\"WEBGL_depth_texture\");m?d?t.depth=h(r,i,a,m.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):v&&(t.depth=h(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):v&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):v?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),c(r,e),f(x)}c(r,e)}(this)}var v=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=u(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(),c(n,a),f(s)),c(n,a)}}Object.defineProperties(v,{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}}),v.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])}},v.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)}}},3530:function(t,e,r){var n=r(8974).sprintf,i=r(6603),a=r(9365),o=r(8008);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 u=n(\"Error compiling %s shader %s:\\n\",l,s),c=n(\"%s%s\",u,t),f=t.split(\"\\n\"),h={},p=0;p<f.length;p++){var d=f[p];if(\"\"!==d&&\"\\0\"!==d){var v=parseInt(d.split(\":\")[2]);if(isNaN(v))throw new Error(n(\"Could not parse error: %s\",d));h[v]=d}}var g=o(e).split(\"\\n\");for(p=0;p<g.length;p++)if((h[p+3]||h[p+2]||h[p+1])&&(u+=g[p]+\"\\n\",h[p+1])){var y=h[p+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),u+=n(\"^^^ %s\\n\\n\",y)}return{long:u.trim(),short:c.trim()}}},6386:function(t,e,r){\"use strict\";t.exports=function(t,e){var r=t.gl,n=new u(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(5070),i=r(9560),a=r(5306),o=r(5158),s=r(5827),l=r(1292);function u(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 c,f=u.prototype,h=[0,0,1,0,0,1,1,0,1,1,0,1];f.draw=(c=[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],u=a[3]-a[1];c[0]=2*o/l,c[4]=2*s/u,c[6]=2*(r[0]-a[0])/l-1,c[7]=2*(r[1]-a[1])/u-1,e.bind();var f=e.uniforms;f.viewTransform=c,f.shape=this.shape;var h=e.attributes;this.positionBuffer.bind(),h.position.pointer(),this.weightBuffer.bind(),h.weight.pointer(i.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),h.color.pointer(i.UNSIGNED_BYTE,!0),i.drawArrays(i.TRIANGLES,0,n)}}),f.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,u=a[2]-a[0],c=a[3]-a[1],f=l[2]-l[0],h=l[3]-l[1];t[0]=2*u/f,t[4]=2*c/h,t[6]=2*(a[0]-l[0])/f-1,t[7]=2*(a[1]-l[1])/h-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 v=i.attributes;return this.positionBuffer.bind(),v.position.pointer(),this.weightBuffer.bind(),v.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),v.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),f.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]]}},f.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 u,c,f,p,d=t.colorLevels||[0],v=t.colorValues||[0,0,0,1],g=d.length,y=this.bounds;l?(u=y[0]=r[0],c=y[1]=o[0],f=y[2]=r[r.length-1],p=y[3]=o[o.length-1]):(u=y[0]=r[0]+(r[1]-r[0])/2,c=y[1]=o[0]+(o[1]-o[0])/2,f=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 m=1/(f-u),x=1/(p-c),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(h.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?b-1:b,L=l?_-1:_,C=0;C<L;++C){var P,O;l?(P=x*(o[C]-c),O=x*(o[C+1]-c)):(P=C<_-1?x*(o[C]-(o[C+1]-o[C])/2-c):x*(o[C]-(o[C]-o[C-1])/2-c),O=C<_-1?x*(o[C]+(o[C+1]-o[C])/2-c):x*(o[C]+(o[C]-o[C-1])/2-c));for(var I=0;I<E;++I){var D,z;l?(D=m*(r[I]-u),z=m*(r[I+1]-u)):(D=I<b-1?m*(r[I]-(r[I+1]-r[I])/2-u):m*(r[I]-(r[I]-r[I-1])/2-u),z=I<b-1?m*(r[I]+(r[I+1]-r[I])/2-u):m*(r[I]+(r[I]-r[I-1])/2-u));for(var R=0;R<h.length;R+=2){var F,B,N,j,U=h[R],V=h[R+1],H=s[l?(C+V)*b+(I+U):C*b+I],q=n.le(d,H);if(q<0)F=v[0],B=v[1],N=v[2],j=v[3];else if(q===g-1)F=v[4*g-4],B=v[4*g-3],N=v[4*g-2],j=v[4*g-1];else{var G=(H-d[q])/(d[q+1]-d[q]),Z=1-G,Y=4*q,W=4*(q+1);F=Z*v[Y]+G*v[W],B=Z*v[Y+1]+G*v[W+1],N=Z*v[Y+2]+G*v[W+2],j=Z*v[Y+3]+G*v[W+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*D+.5*z,k[2*S+1]=.5*P+.5*O,A[2*S]=U,A[2*S+1]=V,M[S]=C*b+I,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)},f.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},1292:function(t,e,r){\"use strict\";var n=r(6832);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\"])}},248:function(t,e,r){var n=r(6832),i=r(5158),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)}},6086:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=f(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=h(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}]),c=u(new Array(1024),[256,1,4]),p=0;p<1024;++p)c.data[p]=255;var d=a(e,c);d.wrap=e.REPEAT;var v=new y(e,r,o,s,l,d);return v.update(t),v};var n=r(5827),i=r(2944),a=r(8931),o=new Uint8Array(4),s=new Float32Array(o.buffer),l=r(5070),u=r(5050),c=r(248),f=c.createShader,h=c.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 v(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 m=y.prototype;m.isTransparent=function(){return this.hasAlpha},m.isOpaque=function(){return!this.hasAlpha},m.pickSlots=1,m.setPickBase=function(t){this.pickId=t},m.drawTransparent=m.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,clipBounds:v(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,pickId:this.pickId,clipBounds:v(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.update=function(t){var e,r;this.dirty=!0;var n=!!t.connectGaps;\"dashScale\"in t&&(this.dashScale=t.dashScale),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var i=[],a=[],o=[],s=0,c=0,f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],h=t.position||t.positions;if(h){var p=t.color||t.colors||[0,0,0,1],v=t.lineWidth||1,g=!1;t:for(e=1;e<h.length;++e){var y,m,x,b=h[e-1],_=h[e];for(a.push(s),o.push(b.slice()),r=0;r<3;++r){if(isNaN(b[r])||isNaN(_[r])||!isFinite(b[r])||!isFinite(_[r])){if(!n&&i.length>0){for(var w=0;w<24;++w)i.push(i[i.length-12]);c+=2,g=!0}continue t}f[0][r]=Math.min(f[0][r],b[r],_[r]),f[1][r]=Math.max(f[1][r],b[r],_[r])}Array.isArray(p[0])?(y=p.length>e-1?p[e-1]:p.length>0?p[p.length-1]:[0,0,0,1],m=p.length>e?p[e]:p.length>0?p[p.length-1]:[0,0,0,1]):y=m=p,3===y.length&&(y=[y[0],y[1],y[2],1]),3===m.length&&(m=[m[0],m[1],m[2],1]),!this.hasAlpha&&y[3]<1&&(this.hasAlpha=!0),x=Array.isArray(v)?v.length>e-1?v[e-1]:v.length>0?v[v.length-1]:[0,0,0,1]:v;var T=s;if(s+=d(b,_),g){for(r=0;r<2;++r)i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,y[0],y[1],y[2],y[3]);c+=2,g=!1}i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,y[0],y[1],y[2],y[3],b[0],b[1],b[2],_[0],_[1],_[2],T,-x,y[0],y[1],y[2],y[3],_[0],_[1],_[2],b[0],b[1],b[2],s,-x,m[0],m[1],m[2],m[3],_[0],_[1],_[2],b[0],b[1],b[2],s,x,m[0],m[1],m[2],m[3]),c+=4}}if(this.buffer.update(i),a.push(s),o.push(h[h.length-1].slice()),this.bounds=f,this.vertexCount=c,this.points=o,this.arcLength=a,\"dashes\"in t){var k=t.dashes.slice();for(k.unshift(0),e=1;e<k.length;++e)k[e]=k[e-1]+k[e];var A=u(new Array(1024),[256,1,4]);for(e=0;e<256;++e){for(r=0;r<4;++r)A.set(e,0,r,0);1&l.le(k,k[k.length-1]*e/255)?A.set(e,0,0,0):A.set(e,0,0,255)}this.texture.setPixels(A)}},m.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()},m.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=function(t,e,r,n){return o[0]=0,o[1]=r,o[2]=e,o[3]=t,s[0]}(t.value[0],t.value[1],t.value[2]),r=l.le(this.arcLength,e);if(r<0)return null;if(r===this.arcLength.length-1)return new g(this.arcLength[this.arcLength.length-1],this.points[this.points.length-1].slice(),r);for(var n=this.points[r],i=this.points[Math.min(r+1,this.points.length-1)],a=(e-this.arcLength[r])/(this.arcLength[r+1]-this.arcLength[r]),u=1-a,c=[0,0,0],f=0;f<3;++f)c[f]=u*n[f]+a*i[f];var h=Math.min(a<.5?r:r+1,this.points.length-1);return new g(e,c,h,this.points[h])}},7332:function(t){t.exports=function(t){var e=new Float32Array(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}},9823:function(t){t.exports=function(){var t=new Float32Array(16);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}},7787:function(t){t.exports=function(t){var e=t[0],r=t[1],n=t[2],i=t[3],a=t[4],o=t[5],s=t[6],l=t[7],u=t[8],c=t[9],f=t[10],h=t[11],p=t[12],d=t[13],v=t[14],g=t[15];return(e*o-r*a)*(f*g-h*v)-(e*s-n*a)*(c*g-h*d)+(e*l-i*a)*(c*v-f*d)+(r*s-n*o)*(u*g-h*p)-(r*l-i*o)*(u*v-f*p)+(n*l-i*s)*(u*d-c*p)}},5950:function(t){t.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=r+r,s=n+n,l=i+i,u=r*o,c=n*o,f=n*s,h=i*o,p=i*s,d=i*l,v=a*o,g=a*s,y=a*l;return t[0]=1-f-d,t[1]=c+y,t[2]=h-g,t[3]=0,t[4]=c-y,t[5]=1-u-d,t[6]=p+v,t[7]=0,t[8]=h+g,t[9]=p-v,t[10]=1-u-f,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},7280:function(t){t.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=n+n,l=i+i,u=a+a,c=n*s,f=n*l,h=n*u,p=i*l,d=i*u,v=a*u,g=o*s,y=o*l,m=o*u;return t[0]=1-(p+v),t[1]=f+m,t[2]=h-y,t[3]=0,t[4]=f-m,t[5]=1-(c+v),t[6]=d+g,t[7]=0,t[8]=h+y,t[9]=d-g,t[10]=1-(c+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},9947:function(t){t.exports=function(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}},7437:function(t){t.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],u=e[7],c=e[8],f=e[9],h=e[10],p=e[11],d=e[12],v=e[13],g=e[14],y=e[15],m=r*s-n*o,x=r*l-i*o,b=r*u-a*o,_=n*l-i*s,w=n*u-a*s,T=i*u-a*l,k=c*v-f*d,A=c*g-h*d,M=c*y-p*d,S=f*g-h*v,E=f*y-p*v,L=h*y-p*g,C=m*L-x*E+b*S+_*M-w*A+T*k;return C?(C=1/C,t[0]=(s*L-l*E+u*S)*C,t[1]=(i*E-n*L-a*S)*C,t[2]=(v*T-g*w+y*_)*C,t[3]=(h*w-f*T-p*_)*C,t[4]=(l*M-o*L-u*A)*C,t[5]=(r*L-i*M+a*A)*C,t[6]=(g*b-d*T-y*x)*C,t[7]=(c*T-h*b+p*x)*C,t[8]=(o*E-s*M+u*k)*C,t[9]=(n*M-r*E-a*k)*C,t[10]=(d*w-v*b+y*m)*C,t[11]=(f*b-c*w-p*m)*C,t[12]=(s*A-o*S-l*k)*C,t[13]=(r*S-n*A+i*k)*C,t[14]=(v*x-d*_-g*m)*C,t[15]=(c*_-f*x+h*m)*C,t):null}},3012:function(t,e,r){var n=r(9947);t.exports=function(t,e,r,i){var a,o,s,l,u,c,f,h,p,d,v=e[0],g=e[1],y=e[2],m=i[0],x=i[1],b=i[2],_=r[0],w=r[1],T=r[2];return Math.abs(v-_)<1e-6&&Math.abs(g-w)<1e-6&&Math.abs(y-T)<1e-6?n(t):(f=v-_,h=g-w,p=y-T,a=x*(p*=d=1/Math.sqrt(f*f+h*h+p*p))-b*(h*=d),o=b*(f*=d)-m*p,s=m*h-x*f,(d=Math.sqrt(a*a+o*o+s*s))?(a*=d=1/d,o*=d,s*=d):(a=0,o=0,s=0),l=h*s-p*o,u=p*a-f*s,c=f*o-h*a,(d=Math.sqrt(l*l+u*u+c*c))?(l*=d=1/d,u*=d,c*=d):(l=0,u=0,c=0),t[0]=a,t[1]=l,t[2]=f,t[3]=0,t[4]=o,t[5]=u,t[6]=h,t[7]=0,t[8]=s,t[9]=c,t[10]=p,t[11]=0,t[12]=-(a*v+o*g+s*y),t[13]=-(l*v+u*g+c*y),t[14]=-(f*v+h*g+p*y),t[15]=1,t)}},104:function(t){t.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],f=e[8],h=e[9],p=e[10],d=e[11],v=e[12],g=e[13],y=e[14],m=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*f+w*v,t[1]=x*i+b*l+_*h+w*g,t[2]=x*a+b*u+_*p+w*y,t[3]=x*o+b*c+_*d+w*m,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*f+w*v,t[5]=x*i+b*l+_*h+w*g,t[6]=x*a+b*u+_*p+w*y,t[7]=x*o+b*c+_*d+w*m,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*f+w*v,t[9]=x*i+b*l+_*h+w*g,t[10]=x*a+b*u+_*p+w*y,t[11]=x*o+b*c+_*d+w*m,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*f+w*v,t[13]=x*i+b*l+_*h+w*g,t[14]=x*a+b*u+_*p+w*y,t[15]=x*o+b*c+_*d+w*m,t}},5268:function(t){t.exports=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),u=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*u,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*u,t[15]=1,t}},1120:function(t){t.exports=function(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}},4422:function(t){t.exports=function(t,e,r,n){var i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S,E=n[0],L=n[1],C=n[2],P=Math.sqrt(E*E+L*L+C*C);return Math.abs(P)<1e-6?null:(E*=P=1/P,L*=P,C*=P,i=Math.sin(r),o=1-(a=Math.cos(r)),s=e[0],l=e[1],u=e[2],c=e[3],f=e[4],h=e[5],p=e[6],d=e[7],v=e[8],g=e[9],y=e[10],m=e[11],x=E*E*o+a,b=L*E*o+C*i,_=C*E*o-L*i,w=E*L*o-C*i,T=L*L*o+a,k=C*L*o+E*i,A=E*C*o+L*i,M=L*C*o-E*i,S=C*C*o+a,t[0]=s*x+f*b+v*_,t[1]=l*x+h*b+g*_,t[2]=u*x+p*b+y*_,t[3]=c*x+d*b+m*_,t[4]=s*w+f*T+v*k,t[5]=l*w+h*T+g*k,t[6]=u*w+p*T+y*k,t[7]=c*w+d*T+m*k,t[8]=s*A+f*M+v*S,t[9]=l*A+h*M+g*S,t[10]=u*A+p*M+y*S,t[11]=c*A+d*M+m*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t)}},6109:function(t){t.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],u=e[8],c=e[9],f=e[10],h=e[11];return e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[4]=a*i+u*n,t[5]=o*i+c*n,t[6]=s*i+f*n,t[7]=l*i+h*n,t[8]=u*i-a*n,t[9]=c*i-o*n,t[10]=f*i-s*n,t[11]=h*i-l*n,t}},7115:function(t){t.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],u=e[8],c=e[9],f=e[10],h=e[11];return e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i-u*n,t[1]=o*i-c*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+u*i,t[9]=o*n+c*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}},5240:function(t){t.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],u=e[4],c=e[5],f=e[6],h=e[7];return e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i+u*n,t[1]=o*i+c*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=u*i-a*n,t[5]=c*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}},3668:function(t){t.exports=function(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},998:function(t){t.exports=function(t,e,r){var n,i,a,o,s,l,u,c,f,h,p,d,v=r[0],g=r[1],y=r[2];return e===t?(t[12]=e[0]*v+e[4]*g+e[8]*y+e[12],t[13]=e[1]*v+e[5]*g+e[9]*y+e[13],t[14]=e[2]*v+e[6]*g+e[10]*y+e[14],t[15]=e[3]*v+e[7]*g+e[11]*y+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],f=e[8],h=e[9],p=e[10],d=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=u,t[7]=c,t[8]=f,t[9]=h,t[10]=p,t[11]=d,t[12]=n*v+s*g+f*y+e[12],t[13]=i*v+l*g+h*y+e[13],t[14]=a*v+u*g+p*y+e[14],t[15]=o*v+c*g+d*y+e[15]),t}},2142:function(t){t.exports=function(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else 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}},4340:function(t,e,r){\"use strict\";var n=r(957),i=r(7309);function a(t,e){for(var r=[0,0,0,0],n=0;n<4;++n)for(var i=0;i<4;++i)r[i]+=t[4*n+i]*e[n];return r}function o(t,e,r,n,i){for(var o=a(n,a(r,a(e,[t[0],t[1],t[2],1]))),s=0;s<3;++s)o[s]/=o[3];return[.5*i[0]*(1+o[0]),.5*i[1]*(1-o[1])]}function s(t,e){for(var r=[0,0,0],n=0;n<t.length;++n)for(var i=t[n],a=e[n],o=0;o<3;++o)r[o]+=a*i[o];return r}t.exports=function(t,e,r,a,l,u){if(1===t.length)return[0,t[0].slice()];for(var c=new Array(t.length),f=0;f<t.length;++f)c[f]=o(t[f],r,a,l,u);var h=0,p=1/0;for(f=0;f<c.length;++f){for(var d=0,v=0;v<2;++v)d+=Math.pow(c[f][v]-e[v],2);d<p&&(p=d,h=f)}var g=function(t,e){if(2===t.length){for(var 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[]}(c,e),y=0;for(f=0;f<3;++f){if(g[f]<-.001||g[f]>1.0001)return null;y+=g[f]}return Math.abs(y-1)>.001?null:[h,s(t,g),g]}},2056:function(t,e,r){var n=r(6832),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}\"]),u=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}\"]),c=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}\"]),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\\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}\"]),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\\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:u,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},e.pickShader={vertex:c,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},e.pointPickShader={vertex:h,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},e.contourShader={vertex:p,fragment:d,attributes:[{name:\"position\",type:\"vec3\"}]}},8116:function(t,e,r){\"use strict\";var n=r(5158),i=r(5827),a=r(2944),o=r(8931),s=r(115),l=r(104),u=r(7437),c=r(5050),f=r(9156),h=r(7212),p=r(5306),d=r(2056),v=r(4340),g=d.meshShader,y=d.wireShader,m=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=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,u,c,f,h,p,d,v,g,y,m,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=c,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=u,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=g,this.edgeUVs=y,this.edgeIds=v,this.edgeVAO=m,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,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,m.vertex,m.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,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,_.vertex,_.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=h(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 u=r[l],c=0;c<2;++c){var f=u[0];2===u.length&&(f=u[c]);for(var d=n[f][0],v=n[f][1],g=i[f],y=1-g,m=this.positions[d],x=this.positions[v],b=0;b<3;++b)o[s++]=g*m[b]+y*x[b]}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=f({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 c(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=[],u=[],h=[],p=[],d=[],v=[],g=[],y=[],m=[],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,L=t.meshColor||[1,1,1,1],C=t.vertexUVs,P=t.vertexIntensity,O=t.cellUVs,I=t.cellIntensity,D=1/0,z=-1/0;if(!C&&!O)if(P)if(t.vertexIntensityBounds)D=+t.vertexIntensityBounds[0],z=+t.vertexIntensityBounds[1];else for(var R=0;R<P.length;++R){var F=P[R];D=Math.min(D,F),z=Math.max(z,F)}else if(I)if(t.cellIntensityBounds)D=+t.cellIntensityBounds[0],z=+t.cellIntensityBounds[1];else for(R=0;R<I.length;++R)F=I[R],D=Math.min(D,F),z=Math.max(z,F);else for(R=0;R<n.length;++R)F=n[R][2],D=Math.min(D,F),z=Math.max(z,F);this.intensity=P||I||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=!(I||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,H=0,q=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[Y=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;y.push(j[0],j[1],j[2]),W=S?S[Y]:E?E[R]:L,this.opacityscale&&P?a.push(W[0],W[1],W[2],this.opacity*A((P[Y]-D)/(z-D),this.opacityscale)):3===W.length?m.push(W[0],W[1],W[2],this.opacity):(m.push(W[0],W[1],W[2],W[3]*this.opacity),W[3]<1&&(this.hasAlpha=!0)),X=C?C[Y]:P?[(P[Y]-D)/(z-D),0]:O?O[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],x.push(X[0],X[1]),B?b.push(B[Y]):b.push(N),_.push(R),q+=1;break;case 2:for(U=0;U<2;++U){j=n[Y=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[Y=G[U]],p.push(j[0],j[1],j[2]),W=S?S[Y]:E?E[R]:L,this.opacityscale&&P?a.push(W[0],W[1],W[2],this.opacity*A((P[Y]-D)/(z-D),this.opacityscale)):3===W.length?d.push(W[0],W[1],W[2],this.opacity):(d.push(W[0],W[1],W[2],W[3]*this.opacity),W[3]<1&&(this.hasAlpha=!0)),X=C?C[Y]:P?[(P[Y]-D)/(z-D),0]:O?O[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],v.push(X[0],X[1]),g.push(R);H+=1;break;case 3:for(U=0;U<3;++U)for(j=n[Y=G[U]],Z=0;Z<3;++Z)if(isNaN(j[Z])||!isFinite(j[Z]))continue t;for(U=0;U<3;++U){var Y,W,X,J;j=n[Y=G[2-U]],i.push(j[0],j[1],j[2]),(W=S?S[Y]:E?E[R]:L)?this.opacityscale&&P?a.push(W[0],W[1],W[2],this.opacity*A((P[Y]-D)/(z-D),this.opacityscale)):3===W.length?a.push(W[0],W[1],W[2],this.opacity):(a.push(W[0],W[1],W[2],W[3]*this.opacity),W[3]<1&&(this.hasAlpha=!0)):a.push(.5,.5,.5,1),X=C?C[Y]:P?[(P[Y]-D)/(z-D),0]:O?O[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],u.push(X[0],X[1]),J=w?w[Y]:T[R],l.push(J[0],J[1],J[2]),h.push(R)}V+=1}}this.pointCount=q,this.edgeCount=H,this.triangleCount=V,this.pointPositions.update(y),this.pointColors.update(m),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(v),this.edgeIds.update(new Uint32Array(g)),this.trianglePositions.update(i),this.triangleColors.update(a),this.triangleUVs.update(u),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(h))}},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=u(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var c=new Array(16);for(l(c,s.view,s.model),l(c,s.projection,c),u(c,c),o=0;o<3;++o)s.eyePosition[o]=c[12+o]/c[15];var f,h=c[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*c[4*o+3];for(o=0;o<3;++o){for(var p=c[12+o],d=0;d<3;++d)p+=c[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/h}this.triangleCount>0&&((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&this.lineWidth>0&&((f=this.lineShader).bind(),f.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&&((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()),this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((f=this.contourShader).bind(),f.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]],u=this.positions[r[1]],c=this.positions[r[2]],f=[(l[0]+u[0]+c[0])/3,(l[1]+u[1]+c[1])/3,(l[2]+u[2]+c[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:f}}var h=v(i,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!h)return null;var p=h[2],d=0;for(a=0;a<r.length;++a)d+=p[a]*this.intensity[r[a]];return{position:h[1],index:r[h[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[h[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),u=S(t),f=E(t),h=L(t),p=o(t,c(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),v=i(t),m=i(t),x=i(t),b=i(t),_=a(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:b,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:v,type:t.FLOAT,size:4},{buffer:m,type:t.FLOAT,size:2},{buffer:x,type:t.FLOAT,size:3}]),w=i(t),k=i(t),A=i(t),C=i(t),P=a(t,[{buffer:w,type:t.FLOAT,size:3},{buffer:C,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:k,type:t.FLOAT,size:4},{buffer:A,type:t.FLOAT,size:2}]),O=i(t),I=i(t),D=i(t),z=i(t),R=i(t),F=a(t,[{buffer:O,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:I,type:t.FLOAT,size:4},{buffer:D,type:t.FLOAT,size:2},{buffer:z,type:t.FLOAT,size:1}]),B=i(t),N=new T(t,p,r,s,l,u,f,h,d,b,v,m,x,_,w,C,k,A,P,O,R,I,D,z,F,B,a(t,[{buffer:B,type:t.FLOAT,size:3}]));return N.update(e),N}},4554: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(5827),i=r(5158),a=r(2709);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,u=o.prototype;u.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},u.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,i){var a=this.plot,o=this.shader,u=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,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),u.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},3016: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(5827),i=r(5158),a=r(5070),o=r(2709);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 u,c,f,h,p,d=s.prototype;d.draw=(u=[0,0],c=[0,0],f=[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,h=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,v=0;v<2;++v){var g=a[v],y=a[v+2]-g,m=.5*(o[v+2]+o[v]),x=o[v+2]-o[v];c[v]=2*y/x,u[v]=2*(g-m)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=u,r.uniforms.dataScale=c;var b=0;for(v=0;v<2;++v){f[0]=f[1]=0,f[v]=1,r.uniforms.dataAxis=f,r.uniforms.lineWidth=l[v]/(s[v+2]-s[v])*d,r.uniforms.color=h[v];var _=6*n[v].length;p[v]&&_&&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,u=this.vbo,c=this.tickShader,f=this.ticks,h=s.gl,p=s._tickBounds,d=s.dataBox,v=s.viewBox,g=s.pixelRatio,y=s.screenBox,m=y[2]-y[0],x=y[3]-y[1],b=v[2]-v[0],_=v[3]-v[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]*=b/m,t[0]*=b/m,e[1]*=_/x,t[1]*=_/x,c.bind(),u.bind(),c.attributes.dataCoord.pointer();var S=c.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,L=s.tickMarkWidth,C=s.tickMarkColor,P=6*f[0].length,O=Math.min(a.ge(f[0],(d[0]-p[0])/(p[2]-p[0]),l),f[0].length),I=Math.min(a.gt(f[0],(d[2]-p[0])/(p[2]-p[0]),l),f[0].length),D=0+6*O,z=6*Math.max(0,I-O),R=Math.min(a.ge(f[1],(d[1]-p[1])/(p[3]-p[1]),l),f[1].length),F=Math.min(a.gt(f[1],(d[3]-p[1])/(p[3]-p[1]),l),f[1].length),B=P+6*R,N=6*Math.max(0,F-R);i[0]=2*(v[0]-E[1])/m-1,i[1]=(v[3]+v[1])/x-1,o[0]=E[1]*g/m,o[1]=L[1]*g/x,N&&(S.color=C[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(v[2]+v[0])/m-1,i[1]=2*(v[1]-E[0])/x-1,o[0]=L[0]*g/m,o[1]=E[0]*g/x,z&&(S.color=C[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,D,z)),i[0]=2*(v[2]+E[3])/m-1,i[1]=(v[3]+v[1])/x-1,o[0]=E[3]*g/m,o[1]=L[3]*g/x,N&&(S.color=C[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(v[2]+v[0])/m-1,i[1]=2*(v[3]+E[2])/x-1,o[0]=L[2]*g/m,o[1]=E[2]*g/x,z&&(S.color=C[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,D,z))}}(),d.update=(h=[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],u=r[o],c=r[o+2],f=0;f<l.length;++f){var d=(l[f].x-u)/(c-u);s.push(d);for(var v=0;v<6;++v)n[i++]=d,n[i++]=h[v],n[i++]=p[v]}this.ticks=a,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},1154: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(5827),i=r(5158),a=r(2709);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,u=o.prototype;u.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},u.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,i,a){var o=this.plot,u=this.shader,c=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,u.uniforms.start=s,u.uniforms.end=l,u.uniforms.width=i*o.pixelRatio,u.uniforms.color=a,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),u.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},2709:function(t,e,r){\"use strict\";var n=r(6832),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\"])}},5613: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(5827),i=r(5158),a=r(6946),o=r(5070),s=r(2709);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 u,c,f,h,p,d,v=l.prototype;v.drawTicks=(u=[0,0],c=[0,0],f=[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,h=e.screenBox,p=e.pixelRatio,d=e.tickEnable,v=e.tickPad,g=e.tickColor,y=e.tickAngle,m=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],T=this.labelCount[t],k=o.lt(n,l[t]),A=o.le(n,l[t+2]);u[0]=u[1]=0,u[t]=1,c[t]=(s[2+t]+s[t])/(h[2+t]-h[t])-1;var M=2/h[2+(1^t)]-h[1^t];c[1^t]=M*s[1^t]-1,d[t]&&(c[1^t]-=M*p*v[t],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t],r.uniforms.angle=y[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t]&&T&&(c[1^t]-=M*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),c[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(c[1^t]+=M*p*v[t+2],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t+2],r.uniforms.angle=y[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t+2]&&T&&(c[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),v.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,u=r.pixelRatio;if(this.titleCount){for(var c=0;c<2;++c)e[c]=2*(o[c]*u-a[c])/(a[2+c]-a[c])-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)}}}(),v.bind=(h=[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,u=.5*(n[o+2]+n[o]),c=n[o+2]-n[o],f=a[o],v=a[o+2]-f,g=i[o],y=i[o+2]-g;p[o]=2*l/c*v/y,h[o]=2*(s-u)/c*v/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=h,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),v.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,u=t.bounds;for(o=0;o<2;++o){var c=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e<h.length;++e){var p=h[e],d=p.x,v=p.text,g=p.font||\"sans-serif\";i=p.fontSize||12;for(var y=1/(u[o+2]-u[o]),m=u[o],x=v.split(\"\\n\"),b=0;b<x.length;b++)for(n=a(g,x[b]).data,r=0;r<n.length;r+=2)s.push(n[r]*i,-n[r+1]*i-b*i*1.2,(d-m)*y);c.push(Math.floor(s.length/3)),f.push(d)}this.tickOffset[o]=c,this.tickX[o]=f}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=a(t.labelFont[o],t.labels[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).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)},v.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},2117: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(2611),i=r(3016),a=r(5613),o=r(1154),s=r(4554);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 u=l.prototype;function c(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function f(t,e){return t.x-e.x}u.setDirty=function(){this.dirty=this.pickDirty=!0},u.setOverlayDirty=function(){this.dirty=!0},u.nextDepthValue=function(){return this._depthCounter++/65536},u.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 u=this.borderColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[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 c=this.backgroundColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var f=this.zeroLineEnable,h=this.zeroLineColor,p=this.zeroLineWidth;if(f[0]||f[1]){o.bind();for(var d=0;d<2;++d)if(f[d]&&n[d]<=0&&n[d+2]>=0){var v=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(v,e[1],v,e[3],p[d],h[d]):o.drawLine(e[0],v,e[2],v,p[d],h[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,m=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],m[1]),g[0]&&o.drawLine(r[0]-.5*y[0]*i,r[1],r[2]+.5*y[2]*i,r[1],y[0],m[0]),g[3]&&o.drawLine(r[2],r[1]-.5*y[1]*i,r[2],r[3]+.5*y[3]*i,y[3],m[3]),g[2]&&o.drawLine(r[0]-.5*y[0]*i,r[3],r[2]+.5*y[2]*i,r[3],y[2],m[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)}},u.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()}},u.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),u=this.objects,c=0;c<u.length;++c){var f=u[c].pick(a,o,l);if(f)return f}return null}},u.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()},u.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())},u.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()},u.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=c(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=c(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=c(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=c(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=c(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=c(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(f),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\"],title:t.title||\"\",titleSize:t.titleSize||18,titleFont:t.titleFont||\"sans-serif\"}),this.static=!!t.static,this.setDirty()},u.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},u.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},u.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}},u.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},u.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}}},4296: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 u=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}),c=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],f=0,h=t.clientWidth,p=t.clientHeight,d={keyBindingMode:\"rotate\",enableWheel:!0,view:u,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:u.modes,_ortho:e._ortho||e.projection&&\"orthographic\"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,i=e-2*r;u.idle(e-r),u.recalcMatrix(i),u.flush(e-(100+2*r));for(var a=!0,o=u.computedMatrix,s=0;s<16;++s)a=a&&c[s]===o[s],c[s]=o[s];var l=t.clientWidth===h&&t.clientHeight===p;return h=t.clientWidth,p=t.clientHeight,a?!l:(f=Math.exp(u.computedRadius[0]),!0)},lookAt:function(t,e,r){u.lookAt(u.lastT(),t,e,r)},rotate:function(t,e,r){u.rotate(u.lastT(),t,e,r)},pan:function(t,e,r){u.pan(u.lastT(),t,e,r)},translate:function(t,e,r){u.translate(u.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return u.computedMatrix},set:function(t){return u.setMatrix(u.lastT(),t),u.computedMatrix},enumerable:!0},mode:{get:function(){return u.getMode()},set:function(t){var e=u.computedUp.slice(),r=u.computedEye.slice(),i=u.computedCenter.slice();if(u.setMode(t),\"turntable\"===t){var a=n();u._active.lookAt(a,r,i,e),u._active.lookAt(a+500,r,i,[0,0,1]),u._active.flush(a)}return u.getMode()},enumerable:!0},center:{get:function(){return u.computedCenter},set:function(t){return u.lookAt(u.lastT(),null,t),u.computedCenter},enumerable:!0},eye:{get:function(){return u.computedEye},set:function(t){return u.lookAt(u.lastT(),t),u.computedEye},enumerable:!0},up:{get:function(){return u.computedUp},set:function(t){return u.lookAt(u.lastT(),null,null,t),u.computedUp},enumerable:!0},distance:{get:function(){return f},set:function(t){return u.setDistance(u.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return u.getDistanceLimits(r)},set:function(t){return u.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,c=\"zoom\"===o,h=!!a.control,p=!!a.alt,v=!!a.shift,g=!!(1&e),y=!!(2&e),m=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=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&&!h&&!p&&!v||g&&!h&&!p&&v)&&u.rotate(A,w*k*b,-T*k*_,0),(l&&g&&!h&&!p&&!v||y||g&&h&&!p&&!v)&&u.pan(A,-d.translateSpeed*b*f,d.translateSpeed*_*f,0),c&&g&&!h&&!p&&!v||m||g&&!h&&p&&!v)){var M=-d.zoomSpeed*_/window.innerHeight*(A-u.lastT())*100;u.pan(A,0,0,f*(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))u.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-u.lastT())/20;u.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=r(8161),i=r(1152),a=r(6145),o=r(6475),s=r(2565),l=r(5233)},8245:function(t,e,r){var n=r(6832),i=r(5158),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\"}])}},1059:function(t,e,r){\"use strict\";var n=r(4296),i=r(7453),a=r(2771),o=r(6496),s=r(2611),l=r(4234),u=r(8126),c=r(6145),f=r(1120),h=r(5268),p=r(8245),d=r(2321)({tablet:!0,featureDetect:!0});function v(){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 m=t.bounds||[[-10,-10,-10],[10,10,10]],x=new v,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=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=[],L=[],C=[],P=[],O=!0,I=!0,D={view:null,projection:new Array(16),model:new Array(16),_ortho:!1},z=(I=!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:m,objects:E,shape:z,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:D,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,I=!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\",O=!0}}}function j(){for(var t=E.length,e=P.length,n=0;n<e;++n)C[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(C[o]+a<255){L[n]=o,i.setPickBase(C[o]+1),C[o]+=a;continue t}var l=s(r,z);L[n]=e,P.push(l),C.push(a),i.setPickBase(1),e+=1}else L[n]=-1}for(;e>0&&0===C[e-1];)C.pop(),P.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||{},O=!0,I=!0)},F.add=function(t){F._stopped||(t.axes=A,E.push(t),L.push(-1),O=!0,I=!0,j())},F.remove=function(t){if(!F._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),O=!0,I=!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(b.dispose(),t=0;t<P.length;++t)P[t].dispose();_.dispose(),r=null,A=null,S=null,E=[]}},F._mouseRotating=!1,F._prevButtons=0,F.enableMouseListeners=function(){F.mouseListener=c(e,(function(t,e,r){if(!F._stopped){var n=P.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&&(I=!0),F._mouseRotating=!1;for(var s=0;s<n;++s){var l=P[s].query(e,B[1]-r-1,F.pickRadius);if(l){if(l.distance>x.distance)continue;for(var u=0;u<i;++u){var c=E[u];if(L[u]===s){var f=c.pick(l);f&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=c,x.index=f.distance,x.dataPosition=f.position,x.dataCoordinate=f.dataCoordinate,x.data=f,o=!0)}}}}}a&&a!==x.object&&(a.highlight&&a.highlight(null),O=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),O=!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]],H=[V[0].slice(),V[1].slice()];function q(){if(!U()){N();var t=F.camera.tick();D.view=F.camera.matrix,O=O||t,I=I||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){(C=E[o]).pixelRatio=F.pixelRatio,C.axes=F.axes,O=O||!!C.dirty,I=I||!!C.dirty;var s=C.bounds;if(s)for(var l=s[0],c=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),i[p]=Math.max(i[p],c[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 v=.05*(i[p]-n[p]);n[p]=n[p]-v,i[p]=i[p]+v}d[0][p]=n[p],d[1][p]=i[p]}var y=!1;for(p=0;p<3;++p)y=y||H[0][p]!==d[0][p]||H[1][p]!==d[1][p],H[0][p]=d[0][p],H[1][p]=d[1][p];if(I=I||y,O=O||y){if(y){var m=[0,0,0];for(o=0;o<3;++o)m[o]=g((d[1][o]-d[0][o])/10);A.autoTicks?A.update({bounds:d,tickSpacing:m}):A.update({bounds:d})}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;for(z[0]=T,z[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,u=t.zFar,c=t.fovy,p=o/s;e?(h(i,-p,p,-1,1,l,u),n._ortho=!0):(f(i,c,p,l,u),n._ortho=!1);for(var d=0;d<16;++d)a[d]=0;a[15]=1;var v=0;for(d=0;d<3;++d)v=Math.max(v,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/v,t.autoCenter&&(a[12+d]=.5*-a[5*d]*(r[0][d]+r[1][d]))}(F,w),o=0;o<e;++o)(C=E[o]).axesBounds=d,F.clipToBounds&&(C.clipBounds=d);x.object&&(F.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),I&&(I=!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=P.length,n=0;n<e;++n){var i=P[n];i.shape=B,i.begin();for(var a=0;a<t;++a)if(L[a]===n){var o=E[a];o.drawPick&&(o.pixelRatio=1,o.drawPick(D))}i.end()}}}()),F.axesPixels=a(F.axes,D,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(D)),S.axes=A,x.object&&S.draw(D),r.disable(r.CULL_FACE),o=0;o<e;++o)(C=E[o]).axes=A,C.pixelRatio=F.pixelRatio,C.isOpaque&&C.isOpaque()&&C.draw(D),C.isTransparent&&C.isTransparent()&&(M=!0);if(M){for(b.shape=z,b.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(D),o=0;o<e;++o)(C=E[o]).isOpaque&&C.isOpaque()&&C.draw(D);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(D),o=0;o<e;++o){var C;(C=E[o]).isTransparent&&C.isTransparent()&&C.drawTransparent(D)}r.bindFramebuffer(r.FRAMEBUFFER,null),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.disable(r.DEPTH_TEST),_.bind(),b.color[0].bind(0),_.uniforms.accumBuffer=0,u(r),r.disable(r.BLEND)}for(O=!1,o=0;o<e;++o)E[o].dirty=!1}}}return F.enableMouseListeners(),function t(){F._stopped||F.contextLost||(q(),requestAnimationFrame(t))}(),F.redraw=function(){F._stopped||(O=!0,q())},F},createCamera:n}},8023:function(t,e,r){var n=r(6832);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\"])},8271:function(t,e,r){\"use strict\";var n=r(5158),i=r(5827),a=r(5306),o=r(8023);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,u,c=s.prototype;c.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},c.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),u=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e<n;e++)u[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(u),i||a.free(l),o||a.free(u),this.pointCount=n,this.pickOffset=0},c.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],u=[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),c=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=c<5,r.uniforms.pointSize=c,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(u[0]=255&t,u[1]=t>>8&255,u[2]=t>>16&255,u[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=u,this.pickOffset=t);var f=n.getParameter(n.BLEND),h=n.getParameter(n.DITHER);return f&&!this.blend&&n.disable(n.BLEND),h&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),f&&!this.blend&&n.enable(n.BLEND),h&&n.enable(n.DITHER),t+this.pointCount}),c.draw=c.unifiedDraw,c.drawPick=c.unifiedDraw,c.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]]}}},6093:function(t){t.exports=function(t,e,r,n){var i,a,o,s,l,u=e[0],c=e[1],f=e[2],h=e[3],p=r[0],d=r[1],v=r[2],g=r[3];return(a=u*p+c*d+f*v+h*g)<0&&(a=-a,p=-p,d=-d,v=-v,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*u+l*p,t[1]=s*c+l*d,t[2]=s*f+l*v,t[3]=s*h+l*g,t}},8240:function(t){\"use strict\";t.exports=function(t){return t||0===t?t.toString():\"\"}},4123:function(t,e,r){\"use strict\";var n=r(875);t.exports=function(t,e,r){var a=i[e];if(a||(a=i[e]={}),t in a)return a[t];var o={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,u,c=n(t,o);if(r&&1!==r){for(l=0;l<s.positions.length;++l)for(u=0;u<s.positions[l].length;++u)s.positions[l][u]/=r;for(l=0;l<c.positions.length;++l)for(u=0;u<c.positions[l].length;++u)c.positions[l][u]/=r}var f=[[1/0,1/0],[-1/0,-1/0]],h=c.positions.length;for(l=0;l<h;++l){var p=c.positions[l];for(u=0;u<2;++u)f[0][u]=Math.min(f[0][u],p[u]),f[1][u]=Math.max(f[1][u],p[u])}return a[t]=[s,c,f]};var i={}},9282:function(t,e,r){var n=r(5158),i=r(6832),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\"]),u=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}\"]),c=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],f={vertex:a,fragment:l,attributes:c},h={vertex:o,fragment:l,attributes:c},p={vertex:s,fragment:l,attributes:c},d={vertex:a,fragment:u,attributes:c},v={vertex:o,fragment:u,attributes:c},g={vertex:s,fragment:u,attributes:c};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,f)},e.createOrtho=function(t){return y(t,h)},e.createProject=function(t){return y(t,p)},e.createPickPerspective=function(t){return y(t,d)},e.createPickOrtho=function(t){return y(t,v)},e.createPickProject=function(t){return y(t,g)}},2182:function(t,e,r){\"use strict\";var n=r(3596),i=r(5827),a=r(2944),o=r(5306),s=r(104),l=r(9282),u=r(4123),c=r(8240),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(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 p(t,e,r,n){return h(n,n),h(n,n),h(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function v(t){return!0===t||t>1?1:t}function g(t,e,r,n,i,a,o,s,l,u,c,f){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=u,this.pickOrthoShader=c,this.pickProjectShader=f,this.points=[],this._selectResult=new d(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),u=l.createPickOrtho(e),c=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),v=new g(e,r,n,o,f,h,p,d,a(e,[{buffer:f,size:3,type:e.FLOAT},{buffer:h,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),s,u,c);return v.update(t),v};var y=g.prototype;y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},y.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 m=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=f.slice(),k=[0,0,0],A=[[0,0,0],[0,0,0]];function M(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}var L=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function C(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,u=r.model||f,c=r.view||f,h=r.projection||f,d=e.axesBounds,v=function(t){for(var e=A,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],m[0]=2/o.drawingBufferWidth,m[1]=2/o.drawingBufferHeight,t.bind(),l.view=c,l.projection=h,l.screenSize=m,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=v,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var g=0;g<3;++g)if(a[g]){l.scale=e.projectScale[g],l.opacity=e.projectOpacity[g];for(var y=T,L=0;L<16;++L)y[L]=0;for(L=0;L<4;++L)y[5*L]=1;y[5*g]=0,i[g]<0?y[12+g]=d[0][g]:y[12+g]=d[1][g],s(y,u,y),l.model=y;var C=(g+1)%3,P=(g+2)%3,O=M(x),I=M(b);O[C]=1,I[P]=1;var D=p(0,0,0,S(_,O)),z=p(0,0,0,S(w,I));if(Math.abs(D[1])>Math.abs(z[1])){var R=D;D=z,z=R,R=O,O=I,I=R;var F=C;C=P,P=F}D[0]<0&&(O[C]=-1),z[1]>0&&(I[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(u[4*C+L],2),N+=Math.pow(u[4*P+L],2);O[C]/=Math.sqrt(B),I[P]/=Math.sqrt(N),l.axes[0]=O,l.axes[1]=I,l.fragClipBounds[0]=E(k,v[0],g,-1e8),l.fragClipBounds[1]=E(k,v[1],g,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 u=t.uniforms;u.model=n.model||f,u.view=n.view||f,u.projection=n.projection||f,m[0]=2/l.drawingBufferWidth,m[1]=2/l.drawingBufferHeight,u.screenSize=m,u.highlightId=r.highlightId,u.highlightScale=r.highlightScale,u.fragClipBounds=L,u.clipBounds=r.axes.bounds,u.opacity=r.opacity,u.pickGroup=r.pickId/255,u.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 P(t,e,r,i){var a;a=Array.isArray(t)?e<t.length?t[e]:void 0:t,a=c(a);var o=!0;n(a)&&(a=\"▼\",o=!1);var s=u(a,r,i);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}y.draw=function(t){C(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},y.drawTransparent=function(t){C(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},y.drawPick=function(t){C(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},y.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},y.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},y.update=function(t){if(\"perspective\"in(t=t||{})&&(this.useOrtho=!t.perspective),\"orthographic\"in t&&(this.useOrtho=!!t.orthographic),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"project\"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if(\"projectScale\"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,\"projectOpacity\"in t){Array.isArray(t.projectOpacity)?this.projectOpacity=t.projectOpacity.slice():(r=+t.projectOpacity,this.projectOpacity=[r,r,r]);for(var n=0;n<3;++n)this.projectOpacity[n]=v(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=v(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l=t.font||\"normal\",u=t.alignment||[0,0];if(2===u.length)i=u[0],a=u[1];else for(i=[],a=[],n=0;n<u.length;++n)i[n]=u[n][0],a[n]=u[n][1];var c=[1/0,1/0,1/0],f=[-1/0,-1/0,-1/0],h=t.glyph,p=t.color,d=t.size,g=t.angle,y=t.lineColor,m=-1,x=0,b=0,_=0;if(s.length){_=s.length;t:for(n=0;n<_;++n){for(var w=s[n],T=0;T<3;++T)if(isNaN(w[T])||!isFinite(w[T]))continue t;var k=(N=P(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;x+=3*k.cells.length,b+=2*A.edges.length}}var S=x+b,E=o.mallocFloat(3*S),L=o.mallocFloat(4*S),C=o.mallocFloat(2*S),O=o.mallocUint32(S);if(S>0){var I=0,D=x,z=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(y)&&Array.isArray(y[0]);t:for(n=0;n<_;++n){for(m+=1,w=s[n],T=0;T<3;++T){if(isNaN(w[T])||!isFinite(w[T]))continue t;f[T]=Math.max(f[T],w[T]),c[T]=Math.min(c[T],w[T])}k=(N=P(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(U=F?n<p.length?p[n]:[0,0,0,0]:p).length){for(T=0;T<3;++T)z[T]=U[T];z[3]=1}else if(4===U.length){for(T=0;T<4;++T)z[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else z[0]=z[1]=z[2]=0,z[3]=1;else z=[1,1,1,0];if(j)if(Array.isArray(y)){var U;if(3===(U=B?n<y.length?y[n]:[0,0,0,0]:y).length){for(T=0;T<3;++T)R[T]=U[T];R[T]=1}else if(4===U.length){for(T=0;T<4;++T)R[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else R[0]=R[1]=R[2]=0,R[3]=1;else R=[1,1,1,0];var V=.5;j?Array.isArray(d)?V=n<d.length?+d[n]:12:d?V=+d:this.useOrtho&&(V=12):V=0;var H=0;Array.isArray(g)?H=n<g.length?+g[n]:0:g&&(H=+g);var q=Math.cos(H),G=Math.sin(H);for(w=s[n],T=0;T<3;++T)f[T]=Math.max(f[T],w[T]),c[T]=Math.min(c[T],w[T]);var Z=i,Y=a;Z=0,Array.isArray(i)?Z=n<i.length?i[n]:0:i&&(Z=i),Y=0,Array.isArray(a)?Y=n<a.length?a[n]:0:a&&(Y=a);var W=[Z*=Z>0?1-M[0][0]:Z<0?1+M[1][0]:1,Y*=Y>0?1-M[0][1]:Y<0?1+M[1][1]:1],X=k.cells||[],J=k.positions||[];for(T=0;T<X.length;++T)for(var K=X[T],$=0;$<3;++$){for(var Q=0;Q<3;++Q)E[3*I+Q]=w[Q];for(Q=0;Q<4;++Q)L[4*I+Q]=z[Q];O[I]=m;var tt=J[K[$]];C[2*I]=V*(q*tt[0]-G*tt[1]+W[0]),C[2*I+1]=V*(G*tt[0]+q*tt[1]+W[1]),I+=1}for(X=A.edges,J=A.positions,T=0;T<X.length;++T)for(K=X[T],$=0;$<2;++$){for(Q=0;Q<3;++Q)E[3*D+Q]=w[Q];for(Q=0;Q<4;++Q)L[4*D+Q]=R[Q];O[D]=m,tt=J[K[$]],C[2*D]=V*(q*tt[0]-G*tt[1]+W[0]),C[2*D+1]=V*(G*tt[0]+q*tt[1]+W[1]),D+=1}}}this.bounds=[c,f],this.points=s,this.pointCount=s.length,this.vertexCount=x,this.lineVertexCount=b,this.pointBuffer.update(E),this.colorBuffer.update(L),this.glyphBuffer.update(C),this.idBuffer.update(O),o.free(E),o.free(L),o.free(C),o.free(O)},y.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()}},1884:function(t,e,r){\"use strict\";var n=r(6832);e.boxVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 vertex;\\n\\nuniform vec2 cornerA, cornerB;\\n\\nvoid main() {\\n  gl_Position = vec4(mix(cornerA, cornerB, vertex), 0, 1);\\n}\\n\"]),e.boxFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  gl_FragColor = color;\\n}\\n\"])},6623:function(t,e,r){\"use strict\";var n=r(5158),i=r(5827),a=r(1884);function o(t,e,r){this.plot=t,this.boxBuffer=e,this.boxShader=r,this.enabled=!0,this.selectBox=[1/0,1/0,-1/0,-1/0],this.borderColor=[0,0,0,1],this.innerFill=!1,this.innerColor=[0,0,0,.25],this.outerFill=!0,this.outerColor=[0,0,0,.5],this.borderWidth=10}t.exports=function(t,e){var r=t.gl,s=new o(t,i(r,[0,0,0,1,1,0,1,1]),n(r,a.boxVertex,a.boxFragment));return s.update(e),t.addOverlay(s),s};var s=o.prototype;s.draw=function(){if(this.enabled){var t=this.plot,e=this.selectBox,r=this.borderWidth,n=(this.innerFill,this.innerColor),i=(this.outerFill,this.outerColor),a=this.borderColor,o=t.box,s=t.screenBox,l=t.dataBox,u=t.viewBox,c=t.pixelRatio,f=(e[0]-l[0])*(u[2]-u[0])/(l[2]-l[0])+u[0],h=(e[1]-l[1])*(u[3]-u[1])/(l[3]-l[1])+u[1],p=(e[2]-l[0])*(u[2]-u[0])/(l[2]-l[0])+u[0],d=(e[3]-l[1])*(u[3]-u[1])/(l[3]-l[1])+u[1];if(f=Math.max(f,u[0]),h=Math.max(h,u[1]),p=Math.min(p,u[2]),d=Math.min(d,u[3]),!(p<f||d<h)){o.bind();var v=s[2]-s[0],g=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,v,h,i),o.drawBox(0,h,f,d,i),o.drawBox(0,d,v,g,i),o.drawBox(p,h,v,d,i)),this.innerFill&&o.drawBox(f,h,p,d,n),r>0){var y=r*c;o.drawBox(f-y,h-y,p+y,h+y,a),o.drawBox(f-y,d-y,p+y,d+y,a),o.drawBox(f-y,h-y,f+y,d+y,a),o.drawBox(p-y,h-y,p+y,d+y,a)}}}},s.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},2611:function(t,e,r){\"use strict\";t.exports=function(t,e){var r=e[0],a=e[1];return new l(t,n(t,r,a,{}),i.mallocUint8(r*a*4))};var n=r(4234),i=r(5306),a=r(5050),o=r(2288).nextPow2;function s(t,e,r,n,i){this.coord=[t,e],this.id=r,this.value=n,this.distance=i}function l(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var 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h=u,p=c,d=0;d<3;++d)i&&i[d]<0?(h[d]=this.bounds[0][d],p[d]=this.bounds[1][d]):(h[d]=this.bounds[1][d],p[d]=this.bounds[0][d]);for(f[0]=e.drawingBufferWidth,f[1]=e.drawingBufferHeight,n.uniforms.model=a,n.uniforms.view=s,n.uniforms.projection=l,n.uniforms.coordinates=[this.position,h,p],n.uniforms.colors=this.colors,n.uniforms.screenShape=f,d=0;d<3;++d)n.uniforms.lineWidth=this.lineWidth[d]*this.pixelRatio,this.enabled[d]&&(r.draw(e.TRIANGLES,6,6*d),this.drawSides[d]&&r.draw(e.TRIANGLES,12,18+12*d));r.unbind()},l.update=function(t){t&&(\"bounds\"in t&&(this.bounds=t.bounds),\"position\"in t&&(this.position=t.position),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"colors\"in t&&(this.colors=t.colors),\"enabled\"in t&&(this.enabled=t.enabled),\"drawSides\"in t&&(this.drawSides=t.drawSides))},l.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},9578:function(t,e,r){var n=r(6832),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 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 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\"}]}},7307:function(t,e,r){\"use strict\";var n=r(2858),i=r(4020),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,u=t.maxLength||1e3,c=t.tubeSize||1,f=t.absoluteTubeSize,h=t.gridFill||\"+x+y+z\",p={};-1!==h.indexOf(\"-x\")&&(p.reversedX=!0),-1!==h.indexOf(\"-y\")&&(p.reversedY=!0),-1!==h.indexOf(\"-z\")&&(p.reversedZ=!0),p.filled=a.indexOf(h.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],u=t[1],c=t[2],f=a[0].length,h=a[1].length,p=a[2].length,d=o(a[0],l),v=o(a[1],u),g=o(a[2],c),y=d+1,m=v+1,x=g+1;if(d=s(d,0,f-1),y=s(y,0,f-1),v=s(v,0,h-1),m=s(m,0,h-1),g=s(g,0,p-1),x=s(x,0,p-1),d<0||v<0||g<0||y>f-1||m>h-1||x>p-1)return n.create();var b,_,w,T,k,A,M=a[0][d],S=a[0][y],E=a[1][v],L=a[1][m],C=a[2][g],P=(l-M)/(S-M),O=(u-E)/(L-E),I=(c-C)/(a[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(O)||(O=.5),isFinite(I)||(I=.5),r.reversedX&&(d=f-1-d,y=f-1-y),r.reversedY&&(v=h-1-v,m=h-1-m),r.reversedZ&&(g=p-1-g,x=p-1-x),r.filled){case 5:k=g,A=x,w=v*p,T=m*p,b=d*p*h,_=y*p*h;break;case 4:k=g,A=x,b=d*p,_=y*p,w=v*p*f,T=m*p*f;break;case 3:w=v,T=m,k=g*h,A=x*h,b=d*h*p,_=y*h*p;break;case 2:w=v,T=m,b=d*h,_=y*h,k=g*h*f,A=x*h*f;break;case 1:b=d,_=y,k=g*f,A=x*f,w=v*f*p,T=m*f*p;break;default:b=d,_=y,w=v*f,T=m*f,k=g*f*h,A=x*f*h}var D=i[b+w+k],z=i[b+w+A],R=i[b+T+k],F=i[b+T+A],B=i[_+w+k],N=i[_+w+A],j=i[_+T+k],U=i[_+T+A],V=n.create(),H=n.create(),q=n.create(),G=n.create();n.lerp(V,D,B,P),n.lerp(H,z,N,P),n.lerp(q,R,j,P),n.lerp(G,F,U,P);var Z=n.create(),Y=n.create();n.lerp(Z,V,q,O),n.lerp(Y,H,G,O);var W=n.create();return n.lerp(W,Z,Y,I),W}(e,t,p)},v=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],m=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(e<y||e>b||r<m||r>_||n<x||n>w)},k=10*n.distance(e[0],e[1])/u,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,u=0;u<s;u++){var c=t[u],f=c[0],h=c[1],p=c[2];i[f]||(e.push(f),i[f]=!0),a[h]||(r.push(h),a[h]=!0),o[p]||(n.push(p),o[p]=!0)}var d=l(e),v=l(r),g=l(n),y=Math.min(d,v,g);return isFinite(y)?y:1}(r));for(var L=0;L<E;L++){var C=n.create();n.copy(C,r[L]);var P=[C],O=[],I=d(C),D=C;O.push(I);var z=[],R=v(C,I),F=n.length(R);isFinite(F)&&F>S&&(S=F),z.push(F),g.push({points:P,velocities:O,divergences:z});for(var B=0;B<100*u&&P.length<u&&T(C);){B++;var N=n.clone(I),j=n.squaredLength(N);if(0===j)break;j>A&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,C),I=d(N),n.squaredDistance(D,N)-A>-1e-4*A&&(P.push(N),D=N,O.push(I),R=v(N,I),F=n.length(R),isFinite(F)&&F>S&&(S=F),z.push(F)),C=N}}var U=function(t,e,r,a){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,u=0;u<l.length;u++)o=Math.max(o,n.length(l[u]));var c=t.map((function(t){return function(t,e,r,a){for(var o=t.points,s=t.velocities,l=t.divergences,u=[],c=[],f=[],h=[],p=[],d=[],v=0,g=0,y=i.create(),m=i.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),g=n.length(_)/a,y=i.create(),n.copy(y,_),y[3]=w;for(var T=0;T<8;T++)p[T]=[b[0],b[1],b[2],T];if(h.length>0)for(T=0;T<8;T++){var k=(T+1)%8;u.push(h[T],p[T],p[k],p[k],h[k],h[T]),f.push(m,y,y,y,m,m),d.push(v,g,g,g,v,v);var A=u.length;c.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=h;h=p,p=M;var S=m;m=y,y=S;var E=v;v=g,g=E}return{positions:u,cells:c,vectors:f,vertexIntensity:d}}(t,r,a,o)})),f=[],h=[],p=[],d=[];for(s=0;s<c.length;s++){var v=c[s],g=f.length;for(f=f.concat(v.positions),p=p.concat(v.vectors),d=d.concat(v.vertexIntensity),u=0;u<v.cells.length;u++){var y=v.cells[u],m=[];h.push(m);for(var x=0;x<y.length;x++)m.push(y[x]+g)}}return{positions:f,cells:h,vectors:p,vertexIntensity:d,colormap:e}}(g,t.colormap,S,M);return f?U.tubeScale=f:(0===S&&(S=1),U.tubeScale=.5*c*M/S),U};var u=r(9578),c=r(1140).createMesh;t.exports.createTubeMesh=function(t,e){return c(t,e,{shaders:u,traceType:\"streamtube\"})}},9054:function(t,e,r){var n=r(5158),i=r(6832),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  vec4 worldPosition = model * vec4(worldCoordinate, 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  vec4 worldPosition = model * vec4(worldCoordinate, 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}},3754:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl,r=m(e),n=b(e),s=x(e),l=_(e),u=i(e),c=a(e,[{buffer:u,size:4,stride:w,offset:0},{buffer:u,size:3,stride:w,offset:16},{buffer:u,size:3,stride:w,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),v=o(e,1,S,e.RGBA,e.UNSIGNED_BYTE);v.minFilter=e.LINEAR,v.magFilter=e.LINEAR;var g=new E(e,[0,0],[[0,0,0],[0,0,0]],r,n,u,c,v,s,l,f,h,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(2288),i=r(5827),a=r(2944),o=r(8931),s=r(5306),l=r(9156),u=r(7498),c=r(7382),f=r(5050),h=r(4162),p=r(104),d=r(7437),v=r(5070),g=r(9144),y=r(9054),m=y.createShader,x=y.createContourShader,b=y.createPickShader,_=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,u,c,h,p,d,v,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=u,this._contourPickShader=c,this._contourBuffer=h,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=v,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=[f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0]),f(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 L=E.prototype;L.genColormap=function(t,e){var r=!1,n=c([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 u.divseq(n,255),this.hasAlphaScale=r,n},L.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},L.isOpaque=function(){return!this.isTransparent()},L.pickSlots=1,L.setPickBase=function(t){this.pickId=t};var C=[0,0,0],P={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 O(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||C,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=P.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 u=P.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)u[i][n]=t.clipBounds[i][n];u[0][r]=-1e8,u[1][r]=1e8}return P.showSurface=o,P.showContour=s,P}var I={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},D=T.slice(),z=[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=I;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=z,n.vertexColor=this.vertexColor;var s=D;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 u=s[12+i];for(o=0;o<3;++o)u+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=u/l}var c=O(n,this);if(c.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=c.projections[i],this._shader.uniforms.clipBounds=c.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(c.showContour){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var h=this._contourVAO;for(h.bind(),i=0;i<3;++i)for(f.uniforms.permutation=A[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o<this.contourLevels[i].length;++o)o===this.highlightLevel[i]?(f.uniforms.contourColor=this.highlightColor[i],f.uniforms.contourTint=this.highlightTint[i]):0!==o&&o-1!==this.highlightLevel[i]||(f.uniforms.contourColor=this.contourColor[i],f.uniforms.contourTint=this.contourTint[i]),this._contourCounts[i][o]&&(f.uniforms.height=this.contourLevels[i][o],h.draw(r.LINES,this._contourCounts[i][o],this._contourOffsets[i][o]));for(i=0;i<3;++i)for(f.uniforms.model=c.projections[i],f.uniforms.clipBounds=c.clipBounds[i],o=0;o<3;++o)if(this.contourProject[i][o]){f.uniforms.permutation=A[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var v=0;v<this.contourLevels[o].length;++v)v===this.highlightLevel[o]?(f.uniforms.contourColor=this.highlightColor[o],f.uniforms.contourTint=this.highlightTint[o]):0!==v&&v-1!==this.highlightLevel[o]||(f.uniforms.contourColor=this.contourColor[o],f.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][v]&&(f.uniforms.height=this.contourLevels[o][v],h.draw(r.LINES,this._contourCounts[o][v],this._contourOffsets[o][v]))}for(h.unbind(),(h=this._dynamicVAO).bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(f.uniforms.model=n.model,f.uniforms.clipBounds=n.clipBounds,f.uniforms.permutation=A[i],r.lineWidth(this.dynamicWidth[i]*this.pixelRatio),f.uniforms.contourColor=this.dynamicColor[i],f.uniforms.contourTint=this.dynamicTint[i],f.uniforms.height=this.dynamicLevel[i],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),o=0;o<3;++o)this.contourProject[o][i]&&(f.uniforms.model=c.projections[o],f.uniforms.clipBounds=c.clipBounds[o],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));h.unbind()}}L.draw=function(t){return R.call(this,t,!1)},L.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()]}}L.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=z;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=O(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 u=0;u<this.contourLevels[a].length;++u)this._contourCounts[a][u]&&(s.uniforms.height=this.contourLevels[a][u],l.draw(e.LINES,this._contourCounts[a][u],this._contourOffsets[a][u]))}l.unbind()}},L.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 u=r.position;u[0]=u[1]=u[2]=0;for(var c=0;c<2;++c)for(var f=c?a:1-a,h=0;h<2;++h)for(var p=i+c,d=s+h,g=f*(h?l:1-l),y=0;y<3;++y)u[y]+=this._field[y].get(p,d)*g;for(var m=this._pickResult.level,x=0;x<3;++x)if(m[x]=v.le(this.contourLevels[x],u[x]),m[x]<0)this.contourLevels[x].length>0&&(m[x]=0);else if(m[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][m[x]],_=this.contourLevels[x][m[x]+1];Math.abs(b-u[x])>Math.abs(_-u[x])&&(m[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},L.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();u.assign(t.lo(1,1).hi(r[0],r[1]),e),u.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),u.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),u.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),u.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))},L.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]=f(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]=f(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 u=l[o];for(y=0;y<2;++y)if(u.shape[y]!==a[y])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[o],u)}}else if(t.ticks){var c=t.ticks;if(!Array.isArray(c)||2!==c.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var p=c[o];if((Array.isArray(p)||p.length)&&(p=f(p)),p.shape[0]!==a[o])throw new Error(\"gl-surface: invalid tick length\");var d=f(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 v=[0,0];v[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],v,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 m=this._field,x=f(s.mallocFloat(3*m[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)g(x.pick(o),m[o],\"mirror\");var b=f(s.mallocFloat(3*m[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 _=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,L=M*w-S*_,C=_*A-w*T,P=Math.sqrt(E*E+L*L+C*C);P<1e-8?(P=Math.max(Math.abs(E),Math.abs(L),Math.abs(C)))<1e-8?(C=1,L=E=0,P=1):P=1/P:P=1/Math.sqrt(P),b.set(o,y,0,E*P),b.set(o,y,1,L*P),b.set(o,y,2,C*P)}s.free(x.data);var O=[1/0,1/0,1/0],I=[-1/0,-1/0,-1/0],D=1/0,z=-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 H=0;H<2;++H)for(var q=0;q<3;++q){var G=this._field[q].get(1+o+V,1+y+H);if(isNaN(G)||!isFinite(G))continue t}for(q=0;q<6;++q){var Z=o+k[q][0],Y=y+k[q][1],W=this._field[0].get(Z+1,Y+1),X=this._field[1].get(Z+1,Y+1);G=this._field[2].get(Z+1,Y+1),E=b.get(Z+1,Y+1,0),L=b.get(Z+1,Y+1,1),C=b.get(Z+1,Y+1,2),t.intensity&&(J=t.intensity.get(Z,Y));var J=t.intensity?t.intensity.get(Z,Y):G+this.objectOffset[2];F[N++]=Z,F[N++]=Y,F[N++]=W,F[N++]=X,F[N++]=G,F[N++]=0,F[N++]=J,F[N++]=E,F[N++]=L,F[N++]=C,O[0]=Math.min(O[0],W+this.objectOffset[0]),O[1]=Math.min(O[1],X+this.objectOffset[1]),O[2]=Math.min(O[2],G+this.objectOffset[2]),D=Math.min(D,J),I[0]=Math.max(I[0],W+this.objectOffset[0]),I[1]=Math.max(I[1],X+this.objectOffset[1]),I[2]=Math.max(I[2],G+this.objectOffset[2]),z=Math.max(z,J),U+=1}}for(t.intensityBounds&&(D=+t.intensityBounds[0],z=+t.intensityBounds[1]),o=6;o<N;o+=10)F[o]=(F[o]-D)/(z-D);this._vertexCount=U,this._coordinateBuffer.update(F.subarray(0,N)),s.freeFloat(F),s.free(b.data),this.bounds=[O,I],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===D&&this.intensityBounds[1]===z||(r=!0),this.intensityBounds=[D,z]}if(\"levels\"in t){var K=t.levels;for(K=Array.isArray(K[0])?K.slice():[[],[],K],o=0;o<3;++o)K[o]=K[o].slice(),K[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(y=0;y<K[o].length;++y)K[o][y]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(K[o].length!==this.contourLevels[o].length){r=!0;break}for(y=0;y<K[o].length;++y)if(K[o][y]!==this.contourLevels[o][y]){r=!0;break t}}this.contourLevels=K}if(r){m=this._field,a=this.shape;for(var $=[],Q=0;Q<3;++Q){var tt=this.contourLevels[Q],et=[],rt=[],nt=[0,0,0];for(o=0;o<tt.length;++o){var it=h(this._field[Q],tt[o]);et.push($.length/5|0),U=0;t:for(y=0;y<it.cells.length;++y){var at=it.cells[y];for(q=0;q<2;++q){var ot=it.positions[at[q]],st=ot[0],lt=0|Math.floor(st),ut=st-lt,ct=ot[1],ft=0|Math.floor(ct),ht=ct-ft,pt=!1;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var vt=(Q+dt+1)%3;for(V=0;V<2;++V){var gt=V?ut:1-ut;for(Z=0|Math.min(Math.max(lt+V,0),a[0]),H=0;H<2;++H){var yt=H?ht:1-ht;if(Y=0|Math.min(Math.max(ft+H,0),a[1]),G=dt<2?this._field[vt].get(Z,Y):(this.intensity.get(Z,Y)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(G)||isNaN(G)){pt=!0;break e}var mt=gt*yt;nt[dt]+=mt*G}}}if(pt){if(q>0){for(var xt=0;xt<5;++xt)$.pop();U-=1}continue t}$.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 bt=s.mallocFloat($.length);for(o=0;o<$.length;++o)bt[o]=$[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},L.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)},L.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,u=(o+2)%3,c=this._field[o],f=this._field[l],p=this._field[u],d=h(c,r[o]),v=d.cells,g=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<v.length;++e)for(var y=v[e],m=0;m<2;++m){var x=g[y[m]],b=+x[0],_=0|b,w=0|Math.min(_+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,L=1-E,C=k*L,P=k*E,O=T*L,I=T*E,D=C*f.get(_,M)+P*f.get(_,S)+O*f.get(w,M)+I*f.get(w,S),z=C*p.get(_,M)+P*p.get(_,S)+O*p.get(w,M)+I*p.get(w,S);if(isNaN(D)||isNaN(z)){m&&(n-=1);break}a[2*n+0]=D,a[2*n+1]=z,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)}}},8931:function(t,e,r){\"use strict\";var n=r(5050),i=r(7498),a=r(5306);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=u(e)?e:e.raw;if(r)return function(t,e,r,n,i,a){var o=v(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new h(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()),u=0;\"float32\"===r?u=t.FLOAT:\"float64\"===r?(u=t.FLOAT,l=!1,r=\"float32\"):\"uint8\"===r?u=t.UNSIGNED_BYTE:(u=t.UNSIGNED_BYTE,l=!1,r=\"uint8\");var f,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}}u!==t.FLOAT||t.getExtension(\"OES_texture_float\")||(u=t.UNSIGNED_BYTE,l=!1);var y=e.size;if(l)f=0===e.offset&&e.data.length===y?e.data:e.data.subarray(e.offset,e.offset+y);else{var m=[o[2],o[2]*o[0],1];p=a.malloc(y,r);var x=n(p,o,m,0);\"float32\"!==r&&\"float64\"!==r||u!==t.UNSIGNED_BYTE?i.assign(x,e):c(x,e),f=p.subarray(0,y)}var b=v(t);return t.texImage2D(t.TEXTURE_2D,0,g,o[0],o[1],0,g,u,f),l||a.free(p),new h(t,b,o[0],o[1],g,u)}(t,e)}throw new Error(\"gl-texture2d: Invalid arguments for texture2d constructor\")};var o=null,s=null,l=null;function u(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 c=function(t,e){i.muls(t,e,255)};function f(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 h(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=h.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 v(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=v(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new h(t,o,e,r,n,i)}Object.defineProperties(p,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var 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n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],u=e[8],c=e[9],f=e[10],h=e[11];return e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i-u*n,t[1]=o*i-c*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+u*i,t[9]=o*n+c*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}},15692:function(t){t.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],u=e[4],c=e[5],f=e[6],h=e[7];return e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i+u*n,t[1]=o*i+c*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=u*i-a*n,t[5]=c*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}},10789:function(t){t.exports=function(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},6726:function(t){t.exports=function(t){return\"mat4(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\", \"+t[9]+\", \"+t[10]+\", \"+t[11]+\", \"+t[12]+\", \"+t[13]+\", \"+t[14]+\", \"+t[15]+\")\"}},31283:function(t){t.exports=function(t,e,r){var n,i,a,o,s,l,u,c,f,h,p,d,v=r[0],g=r[1],y=r[2];return e===t?(t[12]=e[0]*v+e[4]*g+e[8]*y+e[12],t[13]=e[1]*v+e[5]*g+e[9]*y+e[13],t[14]=e[2]*v+e[6]*g+e[10]*y+e[14],t[15]=e[3]*v+e[7]*g+e[11]*y+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],f=e[8],h=e[9],p=e[10],d=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=u,t[7]=c,t[8]=f,t[9]=h,t[10]=p,t[11]=d,t[12]=n*v+s*g+f*y+e[12],t[13]=i*v+l*g+h*y+e[13],t[14]=a*v+u*g+p*y+e[14],t[15]=o*v+c*g+d*y+e[15]),t}},88654:function(t){t.exports=function(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else 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}},42505:function(t,e,r){\"use strict\";var n=r(72791),i=r(71299),a=r(98580),o=r(12018),s=r(83522),l=r(25075),u=r(68016),c=r(58404),f=r(18863),h=r(10973),p=r(25677),d=r(75686),v=r(53545),g=r(56131),y=r(32879),m=r(30120),x=r(13547).nextPow2,b=new s,_=!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&&(_=!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=b.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(),b.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(h(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 / 255.;\\n\\t\\t\\t}\",frag:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tuniform float fontSize, charStep, opacity;\\n\\t\\t\\tuniform vec2 atlasSize;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform sampler2D atlas;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\n\\t\\t\\tfloat lightness(vec4 color) {\\n\\t\\t\\t\\treturn color.r * 0.299 + color.g * 0.587 + color.b * 0.114;\\n\\t\\t\\t}\\n\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 uv = gl_FragCoord.xy - charCoord + charStep * .5;\\n\\t\\t\\t\\tfloat halfCharStep = floor(charStep * .5 + .5);\\n\\n\\t\\t\\t\\t// invert y and shift by 1px (FF expecially needs that)\\n\\t\\t\\t\\tuv.y = charStep - uv.y;\\n\\n\\t\\t\\t\\t// ignore points outside of character bounding box\\n\\t\\t\\t\\tfloat halfCharWidth = ceil(charWidth * .5);\\n\\t\\t\\t\\tif (floor(uv.x) > halfCharStep + halfCharWidth ||\\n\\t\\t\\t\\t\\tfloor(uv.x) < halfCharStep - halfCharWidth) 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 textbaseline\",baseline:\"baseline textBaseline textbaseline\",direction:\"dir direction textDirection\",color:\"color colour fill fill-color fillColor textColor textcolor\",kerning:\"kerning kern\",range:\"range dataBox\",viewport:\"vp viewport viewBox viewbox viewPort\",opacity:\"opacity alpha transparency visible visibility opaque\",offset:\"offset positionOffset padding shift indent indentation\"},!0)).opacity&&(Array.isArray(t.opacity)?this.opacity=t.opacity.map((function(t){return parseFloat(t)})):this.opacity=parseFloat(t.opacity)),null!=t.viewport&&(this.viewport=f(t.viewport),this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null==this.viewport&&(this.viewport={x:0,y:0,width:this.gl.drawingBufferWidth,height:this.gl.drawingBufferHeight},this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null!=t.kerning&&(this.kerning=t.kerning),null!=t.offset&&(\"number\"==typeof t.offset&&(t.offset=[t.offset,0]),this.positionOffset=m(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 t=n.parse(n.stringify(t));var i=n.stringify({size:T.baseFontSize,family:t.family,stretch:_?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),s=p(t.size),l=Math.round(s[0]*d(s[1]));if(l!==e.fontSize[r]&&(o=!0,e.fontSize[r]=l),!(e.font[r]&&i==e.font[r].baseString||(a=!0,e.font[r]=T.fonts[i],e.font[r]))){var u=t.family.join(\", \"),c=[t.style];t.style!=t.variant&&c.push(t.variant),t.variant!=t.weight&&c.push(t.weight),_&&t.weight!=t.stretch&&c.push(t.stretch),e.font[r]={baseString:i,family:u,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:y(u,{origin:\"top\",fontSize:T.baseFontSize,fontStyle:c.join(\" \")})},T.fonts[i]=e.font[r]}})),(a||o)&&this.font.forEach((function(r,i){var a=n.stringify({size:e.fontSize[i],family:r.family,stretch:_?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 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Math.atan2(this.y-t.y,this.x-t.x)},angleWith:function(t){return this.angleWithSep(t.x,t.y)},angleWithSep:function(t,e){return Math.atan2(this.x*e-this.y*t,this.x*t+this.y*e)},_matMult:function(t){var e=t[0]*this.x+t[1]*this.y,r=t[2]*this.x+t[3]*this.y;return this.x=e,this.y=r,this},_add:function(t){return this.x+=t.x,this.y+=t.y,this},_sub:function(t){return this.x-=t.x,this.y-=t.y,this},_mult:function(t){return this.x*=t,this.y*=t,this},_div:function(t){return this.x/=t,this.y/=t,this},_multByPoint:function(t){return this.x*=t.x,this.y*=t.y,this},_divByPoint:function(t){return this.x/=t.x,this.y/=t.y,this},_unit:function(){return this._div(this.mag()),this},_perp:function(){var t=this.y;return this.y=this.x,this.x=-t,this},_rotate:function(t){var e=Math.cos(t),r=Math.sin(t),n=e*this.x-r*this.y,i=r*this.x+e*this.y;return this.x=n,this.y=i,this},_rotateAround:function(t,e){var r=Math.cos(t),n=Math.sin(t),i=e.x+r*(this.x-e.x)-n*(this.y-e.y),a=e.y+n*(this.x-e.x)+r*(this.y-e.y);return 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r.width=t.width,r.height=t.height,n.drawImage(t,0,0,t.width,t.height),n.getImageData(-e,-e,t.width+2*e,t.height+2*e)},resolveURL:function(t){return C||(C=self.document.createElement(\"a\")),C.href=t,C.href},hardwareConcurrency:self.navigator.hardwareConcurrency||4,get devicePixelRatio(){return self.devicePixelRatio},get prefersReducedMotion(){return!!self.matchMedia&&(null==P&&(P=self.matchMedia(\"(prefers-reduced-motion: reduce)\")),P.matches)}},B={API_URL:\"https://api.mapbox.com\",get EVENTS_URL(){return this.API_URL?0===this.API_URL.indexOf(\"https://api.mapbox.cn\")?\"https://events.mapbox.cn/events/v2\":0===this.API_URL.indexOf(\"https://api.mapbox.com\")?\"https://events.mapbox.com/events/v2\":null:null},FEEDBACK_URL:\"https://apps.mapbox.com/feedback\",REQUIRE_ACCESS_TOKEN:!0,ACCESS_TOKEN:null,MAX_PARALLEL_IMAGE_REQUESTS:16},N={supported:!1,testSupport:function(t){!j&&I&&(U?V(t):O=t)}},j=!1,U=!1;function V(t){var 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Date.now()>this._skuTokenExpiresAt},q.prototype.transformRequest=function(t,e){return this._transformRequestFn&&this._transformRequestFn(t,e)||{url:t}},q.prototype.normalizeStyleURL=function(t,e){if(!G(t))return t;var r=X(t);return r.path=\"/styles/v1\"+r.path,this._makeAPIURL(r,this._customAccessToken||e)},q.prototype.normalizeGlyphsURL=function(t,e){if(!G(t))return t;var r=X(t);return r.path=\"/fonts/v1\"+r.path,this._makeAPIURL(r,this._customAccessToken||e)},q.prototype.normalizeSourceURL=function(t,e){if(!G(t))return t;var r=X(t);return r.path=\"/v4/\"+r.authority+\".json\",r.params.push(\"secure\"),this._makeAPIURL(r,this._customAccessToken||e)},q.prototype.normalizeSpriteURL=function(t,e,r,n){var i=X(t);return G(t)?(i.path=\"/styles/v1\"+i.path+\"/sprite\"+e+r,this._makeAPIURL(i,this._customAccessToken||n)):(i.path+=\"\"+e+r,J(i))},q.prototype.normalizeTileURL=function(t,e){if(this._isSkuTokenExpired()&&this._createSkuToken(),t&&!G(t))return t;var r=X(t),n=F.devicePixelRatio>=2||512===e?\"@2x\":\"\",i=N.supported?\".webp\":\"$1\";r.path=r.path.replace(/(\\.(png|jpg)\\d*)(?=$)/,\"\"+n+i),r.path=r.path.replace(/^.+\\/v4\\//,\"/\"),r.path=\"/v4\"+r.path;var a=this._customAccessToken||function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e].match(/^access_token=(.*)$/);if(n)return n[1]}return null}(r.params)||B.ACCESS_TOKEN;return B.REQUIRE_ACCESS_TOKEN&&a&&this._skuToken&&r.params.push(\"sku=\"+this._skuToken),this._makeAPIURL(r,a)},q.prototype.canonicalizeTileURL=function(t,e){var r=X(t);if(!r.path.match(/(^\\/v4\\/)/)||!r.path.match(/\\.[\\w]+$/))return t;var n=\"mapbox://tiles/\";n+=r.path.replace(\"/v4/\",\"\");var i=r.params;return e&&(i=i.filter((function(t){return!t.match(/^access_token=/)}))),i.length&&(n+=\"?\"+i.join(\"&\")),n},q.prototype.canonicalizeTileset=function(t,e){for(var r=!!e&&G(e),n=[],i=0,a=t.tiles||[];i<a.length;i+=1){var o=a[i];Y(o)?n.push(this.canonicalizeTileURL(o,r)):n.push(o)}return n},q.prototype._makeAPIURL=function(t,e){var r=\"See https://www.mapbox.com/api-documentation/#access-tokens-and-token-scopes\",n=X(B.API_URL);if(t.protocol=n.protocol,t.authority=n.authority,\"/\"!==n.path&&(t.path=\"\"+n.path+t.path),!B.REQUIRE_ACCESS_TOKEN)return J(t);if(!(e=e||B.ACCESS_TOKEN))throw new Error(\"An API access token is required to use Mapbox GL. \"+r);if(\"s\"===e[0])throw new Error(\"Use a public access token (pk.*) with Mapbox GL, not a secret access token (sk.*). \"+r);return t.params=t.params.filter((function(t){return-1===t.indexOf(\"access_token\")})),t.params.push(\"access_token=\"+e),J(t)};var Z=/^((https?:)?\\/\\/)?([^\\/]+\\.)?mapbox\\.c(n|om)(\\/|\\?|$)/i;function Y(t){return Z.test(t)}var W=/^(\\w+):\\/\\/([^/?]*)(\\/[^?]+)?\\??(.+)?/;function X(t){var e=t.match(W);if(!e)throw new Error(\"Unable to parse URL object\");return{protocol:e[1],authority:e[2],path:e[3]||\"/\",params:e[4]?e[4].split(\"&\"):[]}}function J(t){var e=t.params.length?\"?\"+t.params.join(\"&\"):\"\";return t.protocol+\"://\"+t.authority+t.path+e}var K=\"mapbox.eventData\";function $(t){if(!t)return null;var e,r=t.split(\".\");if(!r||3!==r.length)return null;try{return JSON.parse((e=r[1],decodeURIComponent(self.atob(e).split(\"\").map((function(t){return\"%\"+(\"00\"+t.charCodeAt(0).toString(16)).slice(-2)})).join(\"\"))))}catch(t){return null}}var Q=function(t){this.type=t,this.anonId=null,this.eventData={},this.queue=[],this.pendingRequest=null};Q.prototype.getStorageKey=function(t){var e,r,n=$(B.ACCESS_TOKEN);return e=n&&n.u?(r=n.u,self.btoa(encodeURIComponent(r).replace(/%([0-9A-F]{2})/g,(function(t,e){return String.fromCharCode(Number(\"0x\"+e))})))):B.ACCESS_TOKEN||\"\",t?K+\".\"+t+\":\"+e:K+\":\"+e},Q.prototype.fetchEventData=function(){var t=L(\"localStorage\"),e=this.getStorageKey(),r=this.getStorageKey(\"uuid\");if(t)try{var n=self.localStorage.getItem(e);n&&(this.eventData=JSON.parse(n));var 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r=this.queue.shift(),n=r.id,i=r.timestamp;n&&this.success[n]||(this.anonId||this.fetchEventData(),v(this.anonId)||(this.anonId=d()),this.postEvent(i,{skuToken:this.skuToken},(function(t){t||n&&(e.success[n]=!0)}),t))}},e}(Q),nt=function(t){function e(e){t.call(this,\"appUserTurnstile\"),this._customAccessToken=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.postTurnstileEvent=function(t,e){B.EVENTS_URL&&B.ACCESS_TOKEN&&Array.isArray(t)&&t.some((function(t){return G(t)||Y(t)}))&&this.queueRequest(Date.now(),e)},e.prototype.processRequests=function(t){var e=this;if(!this.pendingRequest&&0!==this.queue.length){this.anonId&&this.eventData.lastSuccess&&this.eventData.tokenU||this.fetchEventData();var r=$(B.ACCESS_TOKEN),n=r?r.u:B.ACCESS_TOKEN,i=n!==this.eventData.tokenU;v(this.anonId)||(this.anonId=d(),i=!0);var a=this.queue.shift();if(this.eventData.lastSuccess){var o=new Date(this.eventData.lastSuccess),s=new 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n(t){return(t=Math.round(t))<0?0:t>255?255:t}function i(t){return t<0?0:t>1?1:t}function a(t){return\"%\"===t[t.length-1]?n(parseFloat(t)/100*255):n(parseInt(t))}function o(t){return\"%\"===t[t.length-1]?i(parseFloat(t)/100):i(parseFloat(t))}function s(t,e,r){return r<0?r+=1:r>1&&(r-=1),6*r<1?t+(e-t)*r*6:2*r<1?e:3*r<2?t+(e-t)*(2/3-r)*6:t}try{e.parseCSSColor=function(t){var e,i=t.replace(/ /g,\"\").toLowerCase();if(i in r)return r[i].slice();if(\"#\"===i[0])return 4===i.length?(e=parseInt(i.substr(1),16))>=0&&e<=4095?[(3840&e)>>4|(3840&e)>>8,240&e|(240&e)>>4,15&e|(15&e)<<4,1]:null:7===i.length&&(e=parseInt(i.substr(1),16))>=0&&e<=16777215?[(16711680&e)>>16,(65280&e)>>8,255&e,1]:null;var l=i.indexOf(\"(\"),u=i.indexOf(\")\");if(-1!==l&&u+1===i.length){var c=i.substr(0,l),f=i.substr(l+1,u-(l+1)).split(\",\"),h=1;switch(c){case\"rgba\":if(4!==f.length)return null;h=o(f.pop());case\"rgb\":return 3!==f.length?null:[a(f[0]),a(f[1]),a(f[2]),h];case\"hsla\":if(4!==f.length)return 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se=function(t,e,r){this.sensitivity=t?e?\"variant\":\"case\":e?\"accent\":\"base\",this.locale=r,this.collator=new Intl.Collator(this.locale?this.locale:[],{sensitivity:this.sensitivity,usage:\"search\"})};se.prototype.compare=function(t,e){return this.collator.compare(t,e)},se.prototype.resolvedLocale=function(){return new Intl.Collator(this.locale?this.locale:[]).resolvedOptions().locale};var le=function(t,e,r,n,i){this.text=t,this.image=e,this.scale=r,this.fontStack=n,this.textColor=i},ue=function(t){this.sections=t};ue.fromString=function(t){return new ue([new le(t,null,null,null,null)])},ue.prototype.isEmpty=function(){return 0===this.sections.length||!this.sections.some((function(t){return 0!==t.text.length||t.image&&0!==t.image.name.length}))},ue.factory=function(t){return t instanceof ue?t:ue.fromString(t)},ue.prototype.toString=function(){return 0===this.sections.length?\"\":this.sections.map((function(t){return t.text})).join(\"\")},ue.prototype.serialize=function(){for(var t=[\"format\"],e=0,r=this.sections;e<r.length;e+=1){var n=r[e];if(n.image)t.push([\"image\",n.image.name]);else{t.push(n.text);var i={};n.fontStack&&(i[\"text-font\"]=[\"literal\",n.fontStack.split(\",\")]),n.scale&&(i[\"font-scale\"]=n.scale),n.textColor&&(i[\"text-color\"]=[\"rgba\"].concat(n.textColor.toArray())),t.push(i)}}return t};var ce=function(t){this.name=t.name,this.available=t.available};function fe(t,e,r,n){return\"number\"==typeof t&&t>=0&&t<=255&&\"number\"==typeof e&&e>=0&&e<=255&&\"number\"==typeof r&&r>=0&&r<=255?void 0===n||\"number\"==typeof n&&n>=0&&n<=1?null:\"Invalid rgba value [\"+[t,e,r,n].join(\", \")+\"]: 'a' must be between 0 and 1.\":\"Invalid rgba value [\"+(\"number\"==typeof n?[t,e,r,n]:[t,e,r]).join(\", \")+\"]: 'r', 'g', and 'b' must be between 0 and 255.\"}function he(t){if(null===t)return!0;if(\"string\"==typeof t)return!0;if(\"boolean\"==typeof t)return!0;if(\"number\"==typeof t)return!0;if(t instanceof oe)return!0;if(t instanceof se)return!0;if(t 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ve=function(t,e){this.type=t,this.value=e};ve.parse=function(t,e){if(2!==t.length)return e.error(\"'literal' expression requires exactly one argument, but found \"+(t.length-1)+\" instead.\");if(!he(t[1]))return e.error(\"invalid value\");var r=t[1],n=pe(r),i=e.expectedType;return\"array\"!==n.kind||0!==n.N||!i||\"array\"!==i.kind||\"number\"==typeof i.N&&0!==i.N||(n=i),new ve(n,r)},ve.prototype.evaluate=function(){return this.value},ve.prototype.eachChild=function(){},ve.prototype.outputDefined=function(){return!0},ve.prototype.serialize=function(){return\"array\"===this.type.kind||\"object\"===this.type.kind?[\"literal\",this.value]:this.value instanceof oe?[\"rgba\"].concat(this.value.toArray()):this.value instanceof ue?this.value.serialize():this.value};var ge=function(t){this.name=\"ExpressionEvaluationError\",this.message=t};ge.prototype.toJSON=function(){return this.message};var ye={string:qt,number:Ht,boolean:Gt,object:Yt},me=function(t,e){this.type=t,this.args=e};me.parse=function(t,e){if(t.length<2)return e.error(\"Expected at least one argument.\");var r,n=1,i=t[0];if(\"array\"===i){var a,o;if(t.length>2){var s=t[1];if(\"string\"!=typeof s||!(s in ye)||\"object\"===s)return e.error('The item type argument of \"array\" must be one of string, number, boolean',1);a=ye[s],n++}else a=Wt;if(t.length>3){if(null!==t[2]&&(\"number\"!=typeof t[2]||t[2]<0||t[2]!==Math.floor(t[2])))return e.error('The length argument to \"array\" must be a positive integer literal',2);o=t[2],n++}r=$t(a,o)}else r=ye[i];for(var l=[];n<t.length;n++){var u=e.parse(t[n],n,Wt);if(!u)return null;l.push(u)}return new me(r,l)},me.prototype.evaluate=function(t){for(var e=0;e<this.args.length;e++){var r=this.args[e].evaluate(t);if(!ee(this.type,pe(r)))return r;if(e===this.args.length-1)throw new ge(\"Expected value to be of type \"+Qt(this.type)+\", but found \"+Qt(pe(r))+\" instead.\")}return null},me.prototype.eachChild=function(t){this.args.forEach(t)},me.prototype.outputDefined=function(){return this.args.every((function(t){return t.outputDefined()}))},me.prototype.serialize=function(){var t=this.type,e=[t.kind];if(\"array\"===t.kind){var r=t.itemType;if(\"string\"===r.kind||\"number\"===r.kind||\"boolean\"===r.kind){e.push(r.kind);var n=t.N;(\"number\"==typeof n||this.args.length>1)&&e.push(n)}}return e.concat(this.args.map((function(t){return t.serialize()})))};var xe=function(t){this.type=Jt,this.sections=t};xe.parse=function(t,e){if(t.length<2)return e.error(\"Expected at least one argument.\");var r=t[1];if(!Array.isArray(r)&&\"object\"==typeof r)return e.error(\"First argument must be an image or text section.\");for(var n=[],i=!1,a=1;a<=t.length-1;++a){var o=t[a];if(i&&\"object\"==typeof o&&!Array.isArray(o)){i=!1;var s=null;if(o[\"font-scale\"]&&!(s=e.parse(o[\"font-scale\"],1,Ht)))return null;var l=null;if(o[\"text-font\"]&&!(l=e.parse(o[\"text-font\"],1,$t(qt))))return null;var u=null;if(o[\"text-color\"]&&!(u=e.parse(o[\"text-color\"],1,Zt)))return null;var c=n[n.length-1];c.scale=s,c.font=l,c.textColor=u}else{var f=e.parse(t[a],1,Wt);if(!f)return null;var h=f.type.kind;if(\"string\"!==h&&\"value\"!==h&&\"null\"!==h&&\"resolvedImage\"!==h)return e.error(\"Formatted text type must be 'string', 'value', 'image' or 'null'.\");i=!0,n.push({content:f,scale:null,font:null,textColor:null})}}return new xe(n)},xe.prototype.evaluate=function(t){return new ue(this.sections.map((function(e){var r=e.content.evaluate(t);return pe(r)===Kt?new le(\"\",r,null,null,null):new le(de(r),null,e.scale?e.scale.evaluate(t):null,e.font?e.font.evaluate(t).join(\",\"):null,e.textColor?e.textColor.evaluate(t):null)})))},xe.prototype.eachChild=function(t){for(var e=0,r=this.sections;e<r.length;e+=1){var n=r[e];t(n.content),n.scale&&t(n.scale),n.font&&t(n.font),n.textColor&&t(n.textColor)}},xe.prototype.outputDefined=function(){return!1},xe.prototype.serialize=function(){for(var t=[\"format\"],e=0,r=this.sections;e<r.length;e+=1){var n=r[e];t.push(n.content.serialize());var i={};n.scale&&(i[\"font-scale\"]=n.scale.serialize()),n.font&&(i[\"text-font\"]=n.font.serialize()),n.textColor&&(i[\"text-color\"]=n.textColor.serialize()),t.push(i)}return t};var be=function(t){this.type=Kt,this.input=t};be.parse=function(t,e){if(2!==t.length)return e.error(\"Expected two arguments.\");var r=e.parse(t[1],1,qt);return r?new be(r):e.error(\"No image name provided.\")},be.prototype.evaluate=function(t){var e=this.input.evaluate(t),r=ce.fromString(e);return r&&t.availableImages&&(r.available=t.availableImages.indexOf(e)>-1),r},be.prototype.eachChild=function(t){t(this.input)},be.prototype.outputDefined=function(){return!1},be.prototype.serialize=function(){return[\"image\",this.input.serialize()]};var 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a=Je(e,n),o=e[a],s=e[a+1],l=xr.interpolationFactor(this.interpolation,n,o,s),u=r[a].evaluate(t),c=r[a+1].evaluate(t);return\"interpolate\"===this.operator?Qe[this.type.kind.toLowerCase()](u,c,l):\"interpolate-hcl\"===this.operator?yr.reverse(yr.interpolate(yr.forward(u),yr.forward(c),l)):gr.reverse(gr.interpolate(gr.forward(u),gr.forward(c),l))},xr.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1)t(r[e])},xr.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},xr.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 _r=function(t,e){this.type=t,this.args=e};_r.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 u=n&&i.some((function(t){return ee(n,t.type)}));return new _r(u?Wt:r,i)},_r.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 ce&&!r.available&&(e||(e=r.name),r=null,n===this.args.length&&(r=e)),null===r);i+=1);return r},_r.prototype.eachChild=function(t){this.args.forEach(t)},_r.prototype.outputDefined=function(){return this.args.every((function(t){return t.outputDefined()}))},_r.prototype.serialize=function(){var t=[\"coalesce\"];return this.eachChild((function(e){t.push(e.serialize())})),t};var wr=function(t,e){this.type=e.type,this.bindings=[].concat(t),this.result=e};wr.prototype.evaluate=function(t){return this.result.evaluate(t)},wr.prototype.eachChild=function(t){for(var e=0,r=this.bindings;e<r.length;e+=1)t(r[e][1]);t(this.result)},wr.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 wr(r,o):null},wr.prototype.outputDefined=function(){return this.result.outputDefined()},wr.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 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kr=function(t,e){this.type=Gt,this.needle=t,this.haystack=e};kr.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,Wt),n=e.parse(t[2],2,Wt);return r&&n?re(r.type,[Gt,qt,Ht,Vt,Wt])?new kr(r,n):e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Qt(r.type)+\" instead\"):null},kr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!r)return!1;if(!ne(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new ge(\"Expected first argument to be of type boolean, string, number or null, but found \"+Qt(pe(e))+\" instead.\");if(!ne(r,[\"string\",\"array\"]))throw new ge(\"Expected second argument to be of type array or string, but found \"+Qt(pe(r))+\" instead.\");return r.indexOf(e)>=0},kr.prototype.eachChild=function(t){t(this.needle),t(this.haystack)},kr.prototype.outputDefined=function(){return!0},kr.prototype.serialize=function(){return[\"in\",this.needle.serialize(),this.haystack.serialize()]};var Ar=function(t,e,r){this.type=Ht,this.needle=t,this.haystack=e,this.fromIndex=r};Ar.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,Wt),n=e.parse(t[2],2,Wt);if(!r||!n)return null;if(!re(r.type,[Gt,qt,Ht,Vt,Wt]))return e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Qt(r.type)+\" instead\");if(4===t.length){var i=e.parse(t[3],3,Ht);return i?new Ar(r,n,i):null}return new Ar(r,n)},Ar.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!ne(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new ge(\"Expected first argument to be of type boolean, string, number or 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Er(r.type,r,n)},Er.prototype.evaluate=function(t){var e=this.input.evaluate(t),r=this.beginIndex.evaluate(t);if(!ne(e,[\"string\",\"array\"]))throw new ge(\"Expected first argument to be of type array or string, but found \"+Qt(pe(e))+\" instead.\");if(this.endIndex){var n=this.endIndex.evaluate(t);return e.slice(r,n)}return e.slice(r)},Er.prototype.eachChild=function(t){t(this.input),t(this.beginIndex),this.endIndex&&t(this.endIndex)},Er.prototype.outputDefined=function(){return!1},Er.prototype.serialize=function(){if(null!=this.endIndex&&void 0!==this.endIndex){var t=this.endIndex.serialize();return[\"slice\",this.input.serialize(),this.beginIndex.serialize(),t]}return[\"slice\",this.input.serialize(),this.beginIndex.serialize()]};var Or=Pr(\"==\",(function(t,e,r){return e===r}),Cr),Ir=Pr(\"!=\",(function(t,e,r){return e!==r}),(function(t,e,r,n){return!Cr(0,e,r,n)})),Dr=Pr(\"<\",(function(t,e,r){return e<r}),(function(t,e,r,n){return 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e=[],a=t.value,s=t.key;if(\"array\"!==Jr(a))return[new zt(s,a,\"array expected, \"+Jr(a)+\" found\")];if(2!==a.length)return[new zt(s,a,\"array length 2 expected, length \"+a.length+\" found\")];if(u){if(\"object\"!==Jr(a[0]))return[new zt(s,a,\"object expected, \"+Jr(a[0])+\" found\")];if(void 0===a[0].zoom)return[new zt(s,a,\"object stop key must have zoom\")];if(void 0===a[0].value)return[new zt(s,a,\"object stop key must have value\")];if(n&&n>Bt(a[0].zoom))return[new zt(s,a[0].zoom,\"stop zoom values must appear in ascending order\")];Bt(a[0].zoom)!==n&&(n=Bt(a[0].zoom),r=void 0,o={}),e=e.concat(dn({key:s+\"[0]\",value:a[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:gn,value:h}}))}else e=e.concat(h({key:s+\"[0]\",value:a[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},a));return sn(Nt(a[1]))?e.concat([new zt(s+\"[1]\",a[1],\"expressions are not allowed in function 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t.length<=1?\"any\"!==r:\"==\"===r?Mn(t[1],t[2],\"==\"):\"!=\"===r?Ln(Mn(t[1],t[2],\"==\")):\"<\"===r||\">\"===r||\"<=\"===r||\">=\"===r?Mn(t[1],t[2],r):\"any\"===r?(e=t.slice(1),[\"any\"].concat(e.map(An))):\"all\"===r?[\"all\"].concat(t.slice(1).map(An)):\"none\"===r?[\"all\"].concat(t.slice(1).map(An).map(Ln)):\"in\"===r?Sn(t[1],t.slice(2)):\"!in\"===r?Ln(Sn(t[1],t.slice(2))):\"has\"===r?En(t[1]):\"!has\"===r?Ln(En(t[1])):\"within\"!==r||t}function Mn(t,e,r){switch(t){case\"$type\":return[\"filter-type-\"+r,e];case\"$id\":return[\"filter-id-\"+r,e];default:return[\"filter-\"+r,t,e]}}function Sn(t,e){if(0===e.length)return!1;switch(t){case\"$type\":return[\"filter-type-in\",[\"literal\",e]];case\"$id\":return[\"filter-id-in\",[\"literal\",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?[\"filter-in-large\",t,[\"literal\",e.sort(Tn)]]:[\"filter-in-small\",t,[\"literal\",e]]}}function 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r=t.key,n=t.style,i=t.styleSpec,a=t.value,o=t.objectKey,s=i[e+\"_\"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if(\"paint\"===e&&l&&s[l[1]]&&s[l[1]].transition)return Un({key:r,value:a,valueSpec:i.transition,style:n,styleSpec:i});var u,c=t.valueSpec||s[o];if(!c)return[new zt(r,a,'unknown property \"'+o+'\"')];if(\"string\"===Jr(a)&&Yr(c)&&!c.tokens&&(u=/^{([^}]+)}$/.exec(a)))return[new zt(r,a,'\"'+o+'\" does not support interpolation syntax\\nUse an identity property function instead: `{ \"type\": \"identity\", \"property\": '+JSON.stringify(u[1])+\" }`.\")];var f=[];return\"symbol\"===t.layerType&&(\"text-field\"===o&&n&&!n.glyphs&&f.push(new zt(r,a,'use of \"text-field\" requires a style \"glyphs\" property')),\"text-font\"===o&&Kr(Nt(a))&&\"identity\"===Bt(a.type)&&f.push(new zt(r,a,'\"text-font\" does not support identity 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h=i.sources&&i.sources[r.source],p=h&&Bt(h.type);h?\"vector\"===p&&\"raster\"===s?e.push(new zt(n,r.source,'layer \"'+r.id+'\" requires a raster source')):\"raster\"===p&&\"raster\"!==s?e.push(new zt(n,r.source,'layer \"'+r.id+'\" requires a vector source')):\"vector\"!==p||r[\"source-layer\"]?\"raster-dem\"===p&&\"hillshade\"!==s?e.push(new zt(n,r.source,\"raster-dem source can only be used with layer type 'hillshade'.\")):\"line\"!==s||!r.paint||!r.paint[\"line-gradient\"]||\"geojson\"===p&&h.lineMetrics||e.push(new zt(n,r,'layer \"'+r.id+'\" specifies a line-gradient, which requires a GeoJSON source with `lineMetrics` enabled.')):e.push(new zt(n,r,'layer \"'+r.id+'\" must specify a \"source-layer\"')):e.push(new zt(n,r.source,'source \"'+r.source+'\" not found'))}else e.push(new zt(n,r,'missing required property \"source\"'));return e=e.concat(dn({key:n,value:r,valueSpec:a.layer,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(){return[]},type:function(){return Un({key:n+\".type\",value:r.type,valueSpec:a.layer.type,style:t.style,styleSpec:t.styleSpec,object:r,objectKey:\"type\"})},filter:Cn,layout:function(t){return dn({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(t){return Dn(Ft({layerType:s},t))}}})},paint:function(t){return dn({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(t){return In(Ft({layerType:s},t))}}})}}})),e}function Rn(t){var e=t.value,r=t.key,n=Jr(e);return\"string\"!==n?[new zt(r,e,\"string expected, \"+n+\" found\")]:[]}var Fn={promoteId:function(t){var e=t.key,r=t.value;if(\"string\"===Jr(r))return Rn({key:e,value:r});var n=[];for(var i in r)n.push.apply(n,Rn({key:e+\".\"+i,value:r[i]}));return n}};function Bn(t){var e=t.value,r=t.key,n=t.styleSpec,i=t.style;if(!e.type)return[new zt(r,e,'\"type\" is required')];var a,o=Bt(e.type);switch(o){case\"vector\":case\"raster\":case\"raster-dem\":return dn({key:r,value:e,valueSpec:n[\"source_\"+o.replace(\"-\",\"_\")],style:t.style,styleSpec:n,objectElementValidators:Fn});case\"geojson\":if(a=dn({key:r,value:e,valueSpec:n.source_geojson,style:i,styleSpec:n,objectElementValidators:Fn}),e.cluster)for(var s in e.clusterProperties){var l=e.clusterProperties[s],u=l[0],c=l[1],f=\"string\"==typeof u?[u,[\"accumulated\"],[\"get\",s]]:u;a.push.apply(a,mn({key:r+\".\"+s+\".map\",value:c,expressionContext:\"cluster-map\"})),a.push.apply(a,mn({key:r+\".\"+s+\".reduce\",value:f,expressionContext:\"cluster-reduce\"}))}return a;case\"video\":return dn({key:r,value:e,valueSpec:n.source_video,style:i,styleSpec:n});case\"image\":return dn({key:r,value:e,valueSpec:n.source_image,style:i,styleSpec:n});case\"canvas\":return[new zt(r,null,\"Please use runtime APIs to add canvas sources, rather than including them in stylesheets.\",\"source.canvas\")];default:return xn({key:r+\".type\",value:e.type,valueSpec:{values:[\"vector\",\"raster\",\"raster-dem\",\"geojson\",\"video\",\"image\"]},style:i,styleSpec:n})}}function Nn(t){var e=t.value,r=t.styleSpec,n=r.light,i=t.style,a=[],o=Jr(e);if(void 0===e)return a;if(\"object\"!==o)return a.concat([new zt(\"light\",e,\"object expected, \"+o+\" found\")]);for(var s in e){var l=s.match(/^(.*)-transition$/);a=l&&n[l[1]]&&n[l[1]].transition?a.concat(Un({key:s,value:e[s],valueSpec:r.transition,style:i,styleSpec:r})):n[s]?a.concat(Un({key:s,value:e[s],valueSpec:n[s],style:i,styleSpec:r})):a.concat([new zt(s,e[s],'unknown property \"'+s+'\"')])}return a}var jn={\"*\":function(){return[]},array:vn,boolean:function(t){var e=t.value,r=t.key,n=Jr(e);return\"boolean\"!==n?[new zt(r,e,\"boolean expected, \"+n+\" found\")]:[]},number:gn,color:function(t){var e=t.key,r=t.value,n=Jr(r);return\"string\"!==n?[new zt(e,r,\"color 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o=i[$n+a],s=i[$n+a+1];n.push(o===s?null:i.subarray(o,s))}var l=i[$n+n.length],u=i[$n+n.length+1];this.keys=i.subarray(l,u),this.bboxes=i.subarray(u),this.insert=this._insertReadonly}else{this.d=e+2*r;for(var c=0;c<this.d*this.d;c++)n.push([]);this.keys=[],this.bboxes=[]}this.n=e,this.extent=t,this.padding=r,this.scale=e/t,this.uid=0;var f=r/e*t;this.min=-f,this.max=t+f}Qn.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertCell,this.uid++),this.keys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Qn.prototype._insertReadonly=function(){throw\"Cannot insert into a GridIndex created from an ArrayBuffer.\"},Qn.prototype._insertCell=function(t,e,r,n,i,a){this.cells[i].push(a)},Qn.prototype.query=function(t,e,r,n,i){var a=this.min,o=this.max;if(t<=a&&e<=a&&o<=r&&o<=n&&!i)return Array.prototype.slice.call(this.keys);var s=[];return this._forEachCell(t,e,r,n,this._queryCell,s,{},i),s},Qn.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=this.cells[i];if(null!==l)for(var u=this.keys,c=this.bboxes,f=0;f<l.length;f++){var h=l[f];if(void 0===o[h]){var p=4*h;(s?s(c[p+0],c[p+1],c[p+2],c[p+3]):t<=c[p+2]&&e<=c[p+3]&&r>=c[p+0]&&n>=c[p+1])?(o[h]=!0,a.push(u[h])):o[h]=!1}}},Qn.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToCellCoord(t),u=this._convertToCellCoord(e),c=this._convertToCellCoord(r),f=this._convertToCellCoord(n),h=l;h<=c;h++)for(var p=u;p<=f;p++){var d=this.d*p+h;if((!s||s(this._convertFromCellCoord(h),this._convertFromCellCoord(p),this._convertFromCellCoord(h+1),this._convertFromCellCoord(p+1)))&&i.call(this,t,e,r,n,d,a,o,s))return}},Qn.prototype._convertFromCellCoord=function(t){return(t-this.padding)/this.scale},Qn.prototype._convertToCellCoord=function(t){return Math.max(0,Math.min(this.d-1,Math.floor(t*this.scale)+this.padding))},Qn.prototype.toArrayBuffer=function(){if(this.arrayBuffer)return this.arrayBuffer;for(var t=this.cells,e=$n+this.cells.length+1+1,r=0,n=0;n<this.cells.length;n++)r+=this.cells[n].length;var i=new Int32Array(e+r+this.keys.length+this.bboxes.length);i[0]=this.extent,i[1]=this.n,i[2]=this.padding;for(var a=e,o=0;o<t.length;o++){var s=t[o];i[$n+o]=a,i.set(s,a),a+=s.length}return i[$n+t.length]=a,i.set(this.keys,a),a+=this.keys.length,i[$n+t.length+1]=a,i.set(this.bboxes,a),a+=this.bboxes.length,i.buffer};var ti=self.ImageData,ei=self.ImageBitmap,ri={};function ni(t,e,r){void 0===r&&(r={}),Object.defineProperty(e,\"_classRegistryKey\",{value:t,writeable:!1}),ri[t]={klass:e,omit:r.omit||[],shallow:r.shallow||[]}}for(var ii in ni(\"Object\",Object),Kn.serialize=function(t,e){var r=t.toArrayBuffer();return e&&e.push(r),{buffer:r}},Kn.deserialize=function(t){return new Kn(t.buffer)},ni(\"Grid\",Kn),ni(\"Color\",oe),ni(\"Error\",Error),ni(\"ResolvedImage\",ce),ni(\"StylePropertyFunction\",hn),ni(\"StyleExpression\",on,{omit:[\"_evaluator\"]}),ni(\"ZoomDependentExpression\",cn),ni(\"ZoomConstantExpression\",un),ni(\"CompoundExpression\",Ae,{omit:[\"_evaluate\"]}),jr)jr[ii]._classRegistryKey||ni(\"Expression_\"+ii,jr[ii]);function ai(t){return t&&\"undefined\"!=typeof ArrayBuffer&&(t instanceof ArrayBuffer||t.constructor&&\"ArrayBuffer\"===t.constructor.name)}function oi(t){return ei&&t instanceof ei}function si(t,e){if(null==t||\"boolean\"==typeof t||\"number\"==typeof t||\"string\"==typeof t||t instanceof Boolean||t instanceof Number||t instanceof String||t instanceof Date||t instanceof RegExp)return t;if(ai(t)||oi(t))return e&&e.push(t),t;if(ArrayBuffer.isView(t)){var r=t;return e&&e.push(r.buffer),r}if(t instanceof ti)return e&&e.push(t.data.buffer),t;if(Array.isArray(t)){for(var n=[],i=0,a=t;i<a.length;i+=1){var o=a[i];n.push(si(o,e))}return n}if(\"object\"==typeof t){var s=t.constructor,l=s._classRegistryKey;if(!l)throw new Error(\"can't serialize object of unregistered class\");var u=s.serialize?s.serialize(t,e):{};if(!s.serialize){for(var c in t)if(t.hasOwnProperty(c)&&!(ri[l].omit.indexOf(c)>=0)){var f=t[c];u[c]=ri[l].shallow.indexOf(c)>=0?f:si(f,e)}t instanceof Error&&(u.message=t.message)}if(u.$name)throw new Error(\"$name property is reserved for worker serialization logic.\");return\"Object\"!==l&&(u.$name=l),u}throw new Error(\"can't serialize object of type \"+typeof t)}function li(t){if(null==t||\"boolean\"==typeof t||\"number\"==typeof t||\"string\"==typeof t||t instanceof Boolean||t instanceof Number||t instanceof String||t instanceof Date||t instanceof RegExp||ai(t)||oi(t)||ArrayBuffer.isView(t)||t instanceof ti)return t;if(Array.isArray(t))return t.map(li);if(\"object\"==typeof t){var e=t.$name||\"Object\",r=ri[e].klass;if(!r)throw new Error(\"can't deserialize unregistered class 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Aboriginal Syllabics\":function(t){return t>=5120&&t<=5759},Khmer:function(t){return t>=6016&&t<=6143},\"Unified Canadian Aboriginal Syllabics Extended\":function(t){return t>=6320&&t<=6399},\"General Punctuation\":function(t){return t>=8192&&t<=8303},\"Letterlike Symbols\":function(t){return t>=8448&&t<=8527},\"Number Forms\":function(t){return t>=8528&&t<=8591},\"Miscellaneous Technical\":function(t){return t>=8960&&t<=9215},\"Control Pictures\":function(t){return t>=9216&&t<=9279},\"Optical Character Recognition\":function(t){return t>=9280&&t<=9311},\"Enclosed Alphanumerics\":function(t){return t>=9312&&t<=9471},\"Geometric Shapes\":function(t){return t>=9632&&t<=9727},\"Miscellaneous Symbols\":function(t){return t>=9728&&t<=9983},\"Miscellaneous Symbols and Arrows\":function(t){return t>=11008&&t<=11263},\"CJK Radicals Supplement\":function(t){return t>=11904&&t<=12031},\"Kangxi Radicals\":function(t){return t>=12032&&t<=12255},\"Ideographic Description 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t&&t.indexOf(\"NetworkError\")>-1&&(Ti=_i),wi&&wi(t)};function Mi(){Si.fire(new Pt(\"pluginStateChange\",{pluginStatus:Ti,pluginURL:ki}))}var Si=new It,Ei=function(){return Ti},Li=function(){if(Ti!==mi||!ki)throw new Error(\"rtl-text-plugin cannot be downloaded unless a pluginURL is specified\");Ti=xi,Mi(),ki&&kt({url:ki},(function(t){t?Ai(t):(Ti=bi,Mi())}))},Ci={applyArabicShaping:null,processBidirectionalText:null,processStyledBidirectionalText:null,isLoaded:function(){return Ti===bi||null!=Ci.applyArabicShaping},isLoading:function(){return Ti===xi},setState:function(t){Ti=t.pluginStatus,ki=t.pluginURL},isParsed:function(){return null!=Ci.applyArabicShaping&&null!=Ci.processBidirectionalText&&null!=Ci.processStyledBidirectionalText},getPluginURL:function(){return ki}},Pi=function(t,e){this.zoom=t,e?(this.now=e.now,this.fadeDuration=e.fadeDuration,this.zoomHistory=e.zoomHistory,this.transition=e.transition):(this.now=0,this.fadeDuration=0,this.zoomHistory=new 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b(this._values[t].transition)},Di.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new Ii(this._values[t].property)),this._values[t].transition=b(e)||void 0},Di.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},Di.prototype.transitioned=function(t,e){for(var r=new Ri(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},Di.prototype.untransitioned=function(){for(var t=new Ri(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 zi=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)};zi.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 Ri=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};Ri.prototype.possiblyEvaluate=function(t,e,r){for(var n=new Ni(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},Ri.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 Fi=function(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)};Fi.prototype.getValue=function(t){return b(this._values[t].value)},Fi.prototype.setValue=function(t,e){this._values[t]=new Oi(this._values[t].property,null===e?void 0:b(e))},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)}return t},Fi.prototype.possiblyEvaluate=function(t,e,r){for(var n=new Ni(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 Bi=function(t,e,r){this.property=t,this.value=e,this.parameters=r};Bi.prototype.isConstant=function(){return\"constant\"===this.value.kind},Bi.prototype.constantOr=function(t){return\"constant\"===this.value.kind?this.value.value:t},Bi.prototype.evaluate=function(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)};var Ni=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};Ni.prototype.get=function(t){return this._values[t]};var ji=function(t){this.specification=t};ji.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},ji.prototype.interpolate=function(t,e,r){var n=Qe[this.specification.type];return n?n(t,e,r):t};var Ui=function(t,e){this.specification=t,this.overrides=e};Ui.prototype.possiblyEvaluate=function(t,e,r,n){return\"constant\"===t.expression.kind||\"camera\"===t.expression.kind?new Bi(this,{kind:\"constant\",value:t.expression.evaluate(e,null,{},r,n)},e):new Bi(this,t.expression,e)},Ui.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 Bi(this,{kind:\"constant\",value:void 0},t.parameters);var n=Qe[this.specification.type];return n?new Bi(this,{kind:\"constant\",value:n(t.value.value,e.value.value,r)},t.parameters):t},Ui.prototype.evaluate=function(t,e,r,n,i,a){return\"constant\"===t.kind?t.value:t.evaluate(e,r,n,i,a)};var Vi=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 Bi(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 Bi(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 Bi(this,{kind:\"constant\",value:s},e)}return new Bi(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}(Ui),Hi=function(t){this.specification=t};Hi.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 Pi(Math.floor(e.zoom-1),e)),t.expression.evaluate(new Pi(Math.floor(e.zoom),e)),t.expression.evaluate(new Pi(Math.floor(e.zoom+1),e)),e)}},Hi.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},Hi.prototype.interpolate=function(t){return t};var qi=function(t){this.specification=t};qi.prototype.possiblyEvaluate=function(t,e,r,n){return!!t.expression.evaluate(e,null,{},r,n)},qi.prototype.interpolate=function(){return!1};var Gi=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 Oi(r,void 0),i=this.defaultTransitionablePropertyValues[e]=new Ii(r);this.defaultTransitioningPropertyValues[e]=i.untransitioned(),this.defaultPossiblyEvaluatedValues[e]=n.possiblyEvaluate({})}};ni(\"DataDrivenProperty\",Ui),ni(\"DataConstantProperty\",ji),ni(\"CrossFadedDataDrivenProperty\",Vi),ni(\"CrossFadedProperty\",Hi),ni(\"ColorRampProperty\",qi);var Zi=\"-transition\",Yi=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 Fi(r.layout)),r.paint)){for(var n in this._transitionablePaint=new Di(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 Ni(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(Xn,n,t,e,r))return}\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e},e.prototype.getPaintProperty=function(t){return y(t,Zi)?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(Wn,n,t,e,r))return!1}if(y(t,Zi))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),x(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)&&Jn(this,t.call(Zn,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:Dt,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 Bi&&Yr(e.property.specification)&&(\"source\"===e.value.kind||\"composite\"===e.value.kind)&&e.value.isStateDependent)return!0}return!1},e}(It),Wi={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},Xi=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},Ji=function(){this.isTransferred=!1,this.capacity=-1,this.resize(0)};function Ki(t,e){void 0===e&&(e=1);var r=0,n=0;return{members:t.map((function(t){var i,a=(i=t.type,Wi[i].BYTES_PER_ELEMENT),o=r=$i(r,Math.max(e,a)),s=t.components||1;return n=Math.max(n,a),r+=a*s,{name:t.name,type:t.type,components:s,offset:o}})),size:$i(r,Math.max(n,e)),alignment:e}}function $i(t,e){return Math.ceil(t/e)*e}Ji.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},Ji.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},Ji.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},Ji.prototype.clear=function(){this.length=0},Ji.prototype.resize=function(t){this.reserve(t),this.length=t},Ji.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)}},Ji.prototype._refreshViews=function(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")};var Qi=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}(Ji);Qi.prototype.bytesPerElement=4,ni(\"StructArrayLayout2i4\",Qi);var ta=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 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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}(Ji);ea.prototype.bytesPerElement=12,ni(\"StructArrayLayout2i4i12\",ea);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,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}(Ji);ra.prototype.bytesPerElement=8,ni(\"StructArrayLayout2i4ub8\",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.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u){var c=this.length;return this.resize(c+1),this.emplace(c,t,e,r,n,i,a,o,s,l,u)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c){var f=9*t,h=18*t;return this.uint16[f+0]=e,this.uint16[f+1]=r,this.uint16[f+2]=n,this.uint16[f+3]=i,this.uint16[f+4]=a,this.uint16[f+5]=o,this.uint16[f+6]=s,this.uint16[f+7]=l,this.uint8[h+16]=u,this.uint8[h+17]=c,t},e}(Ji);na.prototype.bytesPerElement=18,ni(\"StructArrayLayout8ui2ub18\",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),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u,c,f){var h=this.length;return this.resize(h+1),this.emplace(h,t,e,r,n,i,a,o,s,l,u,c,f)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c,f,h){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]=u,this.int16[p+9]=c,this.int16[p+10]=f,this.int16[p+11]=h,t},e}(Ji);ia.prototype.bytesPerElement=24,ni(\"StructArrayLayout4i4ui4i24\",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.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}(Ji);aa.prototype.bytesPerElement=12,ni(\"StructArrayLayout3f12\",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.uint32=new Uint32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint32[r+0]=e,t},e}(Ji);oa.prototype.bytesPerElement=4,ni(\"StructArrayLayout1ul4\",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.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l){var u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u){var c=10*t,f=5*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.uint32[f+3]=s,this.uint16[c+8]=l,this.uint16[c+9]=u,t},e}(Ji);sa.prototype.bytesPerElement=20,ni(\"StructArrayLayout6i1ul2ui20\",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)},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}(Ji);la.prototype.bytesPerElement=12,ni(\"StructArrayLayout2i2i2i12\",la);var ua=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),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n,i)},e.prototype.emplace=function(t,e,r,n,i,a){var 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},e}(Ji);ua.prototype.bytesPerElement=16,ni(\"StructArrayLayout2f1f2i16\",ua);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,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=12*t,o=3*t;return this.uint8[a+0]=e,this.uint8[a+1]=r,this.float32[o+1]=n,this.float32[o+2]=i,t},e}(Ji);ca.prototype.bytesPerElement=12,ni(\"StructArrayLayout2ub2f12\",ca);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.uint16=new Uint16Array(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 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this.int16[m+0]=e,this.int16[m+1]=r,this.uint16[m+2]=n,this.uint16[m+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[m+10]=l,this.uint16[m+11]=u,this.uint16[m+12]=c,this.float32[x+7]=f,this.float32[x+8]=h,this.uint8[b+36]=p,this.uint8[b+37]=d,this.uint8[b+38]=v,this.uint32[x+10]=g,this.int16[m+22]=y,t},e}(Ji);ha.prototype.bytesPerElement=48,ni(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\",ha);var pa=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),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S){var E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S,E){var L=34*t,C=17*t;return this.int16[L+0]=e,this.int16[L+1]=r,this.int16[L+2]=n,this.int16[L+3]=i,this.int16[L+4]=a,this.int16[L+5]=o,this.int16[L+6]=s,this.int16[L+7]=l,this.uint16[L+8]=u,this.uint16[L+9]=c,this.uint16[L+10]=f,this.uint16[L+11]=h,this.uint16[L+12]=p,this.uint16[L+13]=d,this.uint16[L+14]=v,this.uint16[L+15]=g,this.uint16[L+16]=y,this.uint16[L+17]=m,this.uint16[L+18]=x,this.uint16[L+19]=b,this.uint16[L+20]=_,this.uint16[L+21]=w,this.uint16[L+22]=T,this.uint32[C+12]=k,this.float32[C+13]=A,this.float32[C+14]=M,this.float32[C+15]=S,this.float32[C+16]=E,t},e}(Ji);pa.prototype.bytesPerElement=68,ni(\"StructArrayLayout8i15ui1ul4f68\",pa);var da=function(t){function e(){t.apply(this,arguments)}return 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this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,this.float32[a+3]=i,t},e}(Ji);ba.prototype.bytesPerElement=16,ni(\"StructArrayLayout4f16\",ba);var _a=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorPointX:{configurable:!0},anchorPointY:{configurable:!0},x1:{configurable:!0},y1:{configurable:!0},x2:{configurable:!0},y2:{configurable:!0},featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0},anchorPoint:{configurable:!0}};return r.anchorPointX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorPointY.get=function(){return this._structArray.int16[this._pos2+1]},r.x1.get=function(){return this._structArray.int16[this._pos2+2]},r.y1.get=function(){return this._structArray.int16[this._pos2+3]},r.x2.get=function(){return this._structArray.int16[this._pos2+4]},r.y2.get=function(){return 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this._structArray.uint32[this._pos4+10]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+10]=t},r.associatedIconIndex.get=function(){return this._structArray.int16[this._pos2+22]},Object.defineProperties(e.prototype,r),e}(Xi);Ta.prototype.size=48;var ka=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.get=function(t){return new Ta(this,t)},e}(ha);ni(\"PlacedSymbolArray\",ka);var Aa=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},rightJustifiedTextSymbolIndex:{configurable:!0},centerJustifiedTextSymbolIndex:{configurable:!0},leftJustifiedTextSymbolIndex:{configurable:!0},verticalPlacedTextSymbolIndex:{configurable:!0},placedIconSymbolIndex:{configurable:!0},verticalPlacedIconSymbolIndex:{configurable:!0},key:{configurable:!0},textBoxStartIndex:{configurable:!0},textBoxEndIndex:{configurable:!0},verticalTextBoxStartIndex:{configurable:!0},verticalTextBoxEndIndex:{configurable:!0},iconBoxStartIndex:{configurable:!0},iconBoxEndIndex:{configurable:!0},verticalIconBoxStartIndex:{configurable:!0},verticalIconBoxEndIndex:{configurable:!0},featureIndex:{configurable:!0},numHorizontalGlyphVertices:{configurable:!0},numVerticalGlyphVertices:{configurable:!0},numIconVertices:{configurable:!0},numVerticalIconVertices:{configurable:!0},useRuntimeCollisionCircles:{configurable:!0},crossTileID:{configurable:!0},textBoxScale:{configurable:!0},textOffset0:{configurable:!0},textOffset1:{configurable:!0},collisionCircleDiameter:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.rightJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+2]},r.centerJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+3]},r.leftJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+4]},r.verticalPlacedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+5]},r.placedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+6]},r.verticalPlacedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+7]},r.key.get=function(){return this._structArray.uint16[this._pos2+8]},r.textBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.textBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+10]},r.verticalTextBoxStartIndex.get=function(){return 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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t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){this.current!==t&&(this.current=t,this.gl.uniform1i(this.location,t))},e}(Ga),Ya=function(t){function e(e,r){t.call(this,e,r),this.current=0}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){this.current!==t&&(this.current=t,this.gl.uniform1f(this.location,t))},e}(Ga),Wa=function(t){function e(e,r){t.call(this,e,r),this.current=[0,0]}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){t[0]===this.current[0]&&t[1]===this.current[1]||(this.current=t,this.gl.uniform2f(this.location,t[0],t[1]))},e}(Ga),Xa=function(t){function e(e,r){t.call(this,e,r),this.current=[0,0,0]}return 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Float32Array(16),Qa=function(t){function e(e,r){t.call(this,e,r),this.current=$a}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){if(t[12]!==this.current[12]||t[0]!==this.current[0])return this.current=t,void this.gl.uniformMatrix4fv(this.location,!1,t);for(var e=1;e<16;e++)if(t[e]!==this.current[e]){this.current=t,this.gl.uniformMatrix4fv(this.location,!1,t);break}},e}(Ga);function to(t){return[Ia(255*t.r,255*t.g),Ia(255*t.b,255*t.a)]}var eo=function(t,e,r){this.value=t,this.uniformNames=e.map((function(t){return\"u_\"+t})),this.type=r};eo.prototype.setUniform=function(t,e,r){t.set(r.constantOr(this.value))},eo.prototype.getBinding=function(t,e,r){return\"color\"===this.type?new Ka(t,e):new Ya(t,e)};var ro=function(t,e){this.uniformNames=e.map((function(t){return\"u_\"+t})),this.patternFrom=null,this.patternTo=null,this.pixelRatioFrom=1,this.pixelRatioTo=1};ro.prototype.setConstantPatternPositions=function(t,e){this.pixelRatioFrom=e.pixelRatio,this.pixelRatioTo=t.pixelRatio,this.patternFrom=e.tlbr,this.patternTo=t.tlbr},ro.prototype.setUniform=function(t,e,r,n){var 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)},ro.prototype.getBinding=function(t,e,r){return\"u_pattern\"===r.substr(0,9)?new Ja(t,e):new Ya(t,e)};var no=function(t,e,r,n){this.expression=t,this.type=r,this.maxValue=0,this.paintVertexAttributes=e.map((function(t){return{name:\"a_\"+t,type:\"Float32\",components:\"color\"===r?2:1,offset:0}})),this.paintVertexArray=new n};no.prototype.populatePaintArray=function(t,e,r,n,i){var a=this.paintVertexArray.length,o=this.expression.evaluate(new Pi(0),e,{},n,[],i);this.paintVertexArray.resize(t),this._setPaintValue(a,t,o)},no.prototype.updatePaintArray=function(t,e,r,n){var i=this.expression.evaluate({zoom:0},r,n);this._setPaintValue(t,e,i)},no.prototype._setPaintValue=function(t,e,r){if(\"color\"===this.type)for(var n=to(r),i=t;i<e;i++)this.paintVertexArray.emplace(i,n[0],n[1]);else{for(var a=t;a<e;a++)this.paintVertexArray.emplace(a,r);this.maxValue=Math.max(this.maxValue,Math.abs(r))}},no.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))},no.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()};var io=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};io.prototype.populatePaintArray=function(t,e,r,n,i){var a=this.expression.evaluate(new Pi(this.zoom),e,{},n,[],i),o=this.expression.evaluate(new Pi(this.zoom+1),e,{},n,[],i),s=this.paintVertexArray.length;this.paintVertexArray.resize(t),this._setPaintValue(s,t,a,o)},io.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)},io.prototype._setPaintValue=function(t,e,r,n){if(\"color\"===this.type)for(var i=to(r),a=to(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))}},io.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))},io.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()},io.prototype.setUniform=function(t,e){var r=this.useIntegerZoom?Math.floor(e.zoom):e.zoom,n=u(this.expression.interpolationFactor(r,this.zoom,this.zoom+1),0,1);t.set(n)},io.prototype.getBinding=function(t,e,r){return new Ya(t,e)};var ao=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};ao.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)},ao.prototype.updatePaintArray=function(t,e,r,n,i){this._setPaintValues(t,e,r.patterns&&r.patterns[this.layerId],i)},ao.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],u=n[o];if(s&&l&&u)for(var c=t;c<e;c++)this.zoomInPaintVertexArray.emplace(c,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(c,l.tl[0],l.tl[1],l.br[0],l.br[1],u.tl[0],u.tl[1],u.br[0],u.br[1],l.pixelRatio,u.pixelRatio)}},ao.prototype.upload=function(t){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=t.createVertexBuffer(this.zoomInPaintVertexArray,Da.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=t.createVertexBuffer(this.zoomOutPaintVertexArray,Da.members,this.expression.isStateDependent))},ao.prototype.destroy=function(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()};var oo=function(t,e,r,n){this.binders={},this.layoutAttributes=n,this._buffers=[];var i=[];for(var a in t.paint._values)if(r(a)){var o=t.paint.get(a);if(o instanceof Bi&&Yr(o.property.specification)){var s=lo(a,t.type),l=o.value,u=o.property.specification.type,c=o.property.useIntegerZoom,f=o.property.specification[\"property-type\"],h=\"cross-faded\"===f||\"cross-faded-data-driven\"===f;if(\"constant\"===l.kind)this.binders[a]=h?new ro(l.value,s):new eo(l.value,s,u),i.push(\"/u_\"+a);else if(\"source\"===l.kind||h){var p=uo(a,u,\"source\");this.binders[a]=h?new ao(l,u,c,e,p,t.id):new no(l,s,u,p),i.push(\"/a_\"+a)}else{var d=uo(a,u,\"composite\");this.binders[a]=new io(l,s,u,c,e,d),i.push(\"/z_\"+a)}}}this.cacheKey=i.sort().join(\"\")};oo.prototype.getMaxValue=function(t){var e=this.binders[t];return e instanceof no||e instanceof io?e.maxValue:0},oo.prototype.populatePaintArrays=function(t,e,r,n,i){for(var a in this.binders){var o=this.binders[a];(o instanceof no||o instanceof io||o instanceof ao)&&o.populatePaintArray(t,e,r,n,i)}},oo.prototype.setConstantPatternPositions=function(t,e){for(var r in this.binders){var n=this.binders[r];n instanceof ro&&n.setConstantPatternPositions(t,e)}},oo.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 u=l[s],c=r.feature(u.index);for(var f in this.binders){var h=this.binders[f];if((h instanceof no||h instanceof io||h instanceof ao)&&!0===h.expression.isStateDependent){var p=n.paint.get(f);h.expression=p.value,h.updatePaintArray(u.start,u.end,c,t[o],i),a=!0}}}return a},oo.prototype.defines=function(){var t=[];for(var e in this.binders){var r=this.binders[e];(r instanceof eo||r instanceof ro)&&t.push.apply(t,r.uniformNames.map((function(t){return\"#define HAS_UNIFORM_\"+t})))}return t},oo.prototype.getPaintVertexBuffers=function(){return this._buffers},oo.prototype.getUniforms=function(t,e){var r=[];for(var n in this.binders){var i=this.binders[n];if(i instanceof eo||i instanceof ro||i instanceof io)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},oo.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,u=o.binding;this.binders[l].setUniform(u,n,r.get(l),s)}},oo.prototype.updatePaintBuffers=function(t){for(var e in this._buffers=[],this.binders){var r=this.binders[e];if(t&&r instanceof ao){var n=2===t.fromScale?r.zoomInPaintVertexBuffer:r.zoomOutPaintVertexBuffer;n&&this._buffers.push(n)}else(r instanceof no||r instanceof io)&&r.paintVertexBuffer&&this._buffers.push(r.paintVertexBuffer)}},oo.prototype.upload=function(t){for(var e in this.binders){var r=this.binders[e];(r instanceof no||r instanceof io||r instanceof ao)&&r.upload(t)}this.updatePaintBuffers()},oo.prototype.destroy=function(){for(var t in this.binders){var e=this.binders[t];(e instanceof no||e instanceof io||e instanceof ao)&&e.destroy()}};var so=function(t,e,r,n){void 0===n&&(n=function(){return!0}),this.programConfigurations={};for(var i=0,a=e;i<a.length;i+=1){var o=a[i];this.programConfigurations[o.id]=new oo(o,r,n,t)}this.needsUpload=!1,this._featureMap=new ja,this._bufferOffset=0};function lo(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 uo(t,e,r){var n={color:{source:xa,composite:ba},number:{source:da,composite:xa}},i=function(t){return{\"line-pattern\":{source:na,composite:na},\"fill-pattern\":{source:na,composite:na},\"fill-extrusion-pattern\":{source:na,composite:na}}[t]}(t);return i&&i[r]||n[e][r]}so.prototype.populatePaintArrays=function(t,e,r,n,i,a){for(var o in this.programConfigurations)this.programConfigurations[o].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},so.prototype.updatePaintArrays=function(t,e,r,n){for(var i=0,a=r;i<a.length;i+=1){var o=a[i];this.needsUpload=this.programConfigurations[o.id].updatePaintArrays(t,this._featureMap,e,o,n)||this.needsUpload}},so.prototype.get=function(t){return this.programConfigurations[t]},so.prototype.upload=function(t){if(this.needsUpload){for(var e in this.programConfigurations)this.programConfigurations[e].upload(t);this.needsUpload=!1}},so.prototype.destroy=function(){for(var t in this.programConfigurations)this.programConfigurations[t].destroy()},ni(\"ConstantBinder\",eo),ni(\"CrossFadedConstantBinder\",ro),ni(\"SourceExpressionBinder\",no),ni(\"CrossFadedCompositeBinder\",ao),ni(\"CompositeExpressionBinder\",io),ni(\"ProgramConfiguration\",oo,{omit:[\"_buffers\"]}),ni(\"ProgramConfigurationSet\",so);var co=8192;var fo,ho=(fo=15,{min:-1*Math.pow(2,fo-1),max:Math.pow(2,fo-1)-1});function po(t){for(var e=co/t.extent,r=t.loadGeometry(),n=0;n<r.length;n++)for(var i=r[n],a=0;a<i.length;a++){var o=i[a];o.x=Math.round(o.x*e),o.y=Math.round(o.y*e),(o.x<ho.min||o.x>ho.max||o.y<ho.min||o.y>ho.max)&&(w(\"Geometry exceeds allowed extent, reduce your vector tile buffer size\"),o.x=u(o.x,ho.min,ho.max),o.y=u(o.y,ho.min,ho.max))}return r}function vo(t,e,r,n,i){t.emplaceBack(2*e+(n+1)/2,2*r+(i+1)/2)}var go=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 Qi,this.indexArray=new fa,this.segments=new Oa,this.programConfigurations=new so(Pa,t.layers,t.zoom),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function yo(t,e){for(var r=0;r<t.length;r++)if(Mo(e,t[r]))return!0;for(var n=0;n<e.length;n++)if(Mo(t,e[n]))return!0;return!!_o(t,e)}function mo(t,e,r){return!!Mo(t,e)||!!To(e,t,r)}function xo(t,e){if(1===t.length)return Ao(e,t[0]);for(var r=0;r<e.length;r++)for(var n=e[r],i=0;i<n.length;i++)if(Mo(t,n[i]))return!0;for(var a=0;a<t.length;a++)if(Ao(e,t[a]))return!0;for(var o=0;o<e.length;o++)if(_o(t,e[o]))return!0;return!1}function bo(t,e,r){if(t.length>1){if(_o(t,e))return!0;for(var n=0;n<e.length;n++)if(To(e[n],t,r))return!0}for(var i=0;i<t.length;i++)if(To(t[i],e,r))return!0;return!1}function _o(t,e){if(0===t.length||0===e.length)return!1;for(var r=0;r<t.length-1;r++)for(var 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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 Xs(t,e,r){if(3===t){var n=new Zs(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Ys.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 Vs(this._pbf,e,this.extent,this._keys,this._values)};var Js={VectorTile:function(t,e){this.layers=t.readFields(Xs,{},e)},VectorTileFeature:Vs,VectorTileLayer:Zs},Ks=Js.VectorTileFeature.types,$s=Math.pow(2,13);function Qs(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*$s)+o,i*$s*2,a*$s*2,Math.round(s))}var tl=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 ea,this.indexArray=new fa,this.programConfigurations=new so(Us,t.layers,t.zoom),this.segments=new Oa,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function el(t,e){return t.x===e.x&&(t.x<0||t.x>co)||t.y===e.y&&(t.y<0||t.y>co)}tl.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=zs(\"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,u=a.sourceLayerIndex,c=this.layers[0]._featureFilter.needGeometry,f={type:o.type,id:s,properties:o.properties,geometry:c?po(o):[]};if(this.layers[0]._featureFilter.filter(new Pi(this.zoom),f,r)){var h={id:s,sourceLayerIndex:u,index:l,geometry:c?f.geometry:po(o),properties:o.properties,type:o.type,patterns:{}};void 0!==o.id&&(h.id=o.id),this.hasPattern?this.features.push(Rs(\"fill-extrusion\",this.layers,h,this.zoom,e)):this.addFeature(h,h.geometry,l,r,{}),e.featureIndex.insert(o,h.geometry,l,u,this.index,!0)}}},tl.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)}},tl.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},tl.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},tl.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},tl.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Us),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},tl.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},tl.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=Is(e,500);a<o.length;a+=1){for(var s=o[a],l=0,u=0,c=s;u<c.length;u+=1)l+=c[u].length;for(var f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),h=0,p=s;h<p.length;h+=1){var d=p[h];if(0!==d.length&&!((O=d).every((function(t){return t.x<0}))||O.every((function(t){return t.x>co}))||O.every((function(t){return t.y<0}))||O.every((function(t){return t.y>co}))))for(var v=0,g=0;g<d.length;g++){var y=d[g];if(g>=1){var m=d[g-1];if(!el(y,m)){f.vertexLength+4>Oa.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=y.sub(m)._perp()._unit(),b=m.dist(y);v+b>32768&&(v=0),Qs(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,v),Qs(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,v),v+=b,Qs(this.layoutVertexArray,m.x,m.y,x.x,x.y,0,0,v),Qs(this.layoutVertexArray,m.x,m.y,x.x,x.y,0,1,v);var _=f.vertexLength;this.indexArray.emplaceBack(_,_+2,_+1),this.indexArray.emplaceBack(_+1,_+2,_+3),f.vertexLength+=4,f.primitiveLength+=2}}}}if(f.vertexLength+l>Oa.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),\"Polygon\"===Ks[t.type]){for(var w=[],T=[],k=f.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 L=S[E];Qs(this.layoutVertexArray,L.x,L.y,0,0,1,1,0),w.push(L.x),w.push(L.y)}}}for(var C=es(w,T),P=0;P<C.length;P+=3)this.indexArray.emplaceBack(k+C[P],k+C[P+2],k+C[P+1]);f.primitiveLength+=C.length/3,f.vertexLength+=l}}var O;this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},ni(\"FillExtrusionBucket\",tl,{omit:[\"layers\",\"features\"]});var rl={paint:new Gi({\"fill-extrusion-opacity\":new ji(Dt[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new Ui(Dt[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new ji(Dt[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new ji(Dt[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new Vi(Dt[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new Ui(Dt[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new Ui(Dt[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new ji(Dt[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})},nl=function(t){function e(e){t.call(this,e,rl)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new tl(t)},e.prototype.queryRadius=function(){return Lo(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 u=Co(t,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),o.angle,s),c=this.paint.get(\"fill-extrusion-height\").evaluate(e,r),f=this.paint.get(\"fill-extrusion-base\").evaluate(e,r),h=function(t,e,r,n){for(var i=[],o=0,s=t;o<s.length;o+=1){var l=s[o],u=[l.x,l.y,n,1];No(u,u,e),i.push(new a(u[0]/u[3],u[1]/u[3]))}return i}(u,l,0,0),p=function(t,e,r,n){for(var i=[],o=[],s=n[8]*e,l=n[9]*e,u=n[10]*e,c=n[11]*e,f=n[8]*r,h=n[9]*r,p=n[10]*r,d=n[11]*r,v=0,g=t;v<g.length;v+=1){for(var y=[],m=[],x=0,b=g[v];x<b.length;x+=1){var _=b[x],w=_.x,T=_.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+u,L=S+c,C=k+f,P=A+h,O=M+p,I=S+d,D=new a((k+s)/L,(A+l)/L);D.z=E/L,y.push(D);var z=new a(C/I,P/I);z.z=O/I,m.push(z)}i.push(y),o.push(m)}return[i,o]}(n,f,c,l);return function(t,e,r){var n=1/0;xo(r,e)&&(n=al(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],u=a[s+1],c=o[s],f=[l,u,o[s+1],c,l];yo(r,f)&&(n=Math.min(n,al(r,f)))}return n!==1/0&&n}(p[0],p[1],h)},e}(Yi);function il(t,e){return t.x*e.x+t.y*e.y}function al(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),u=o.sub(i),c=il(s,s),f=il(s,l),h=il(l,l),p=il(u,s),d=il(u,l),v=c*h-f*f,g=(h*p-f*d)/v,y=(c*d-f*p)/v,m=1-g-y,x=i.z*m+r.z*g+a.z*y;if(isFinite(x))return x}return 1/0}for(var b=1/0,_=0,w=e;_<w.length;_+=1){var T=w[_];b=Math.min(b,T.z)}return b}var ol=Ki([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4).members,sl=Js.VectorTileFeature.types,ll=Math.cos(Math.PI/180*37.5),ul=Math.pow(2,14)/.5,cl=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.patternFeatures=[],this.layoutVertexArray=new ra,this.indexArray=new fa,this.programConfigurations=new so(ol,t.layers,t.zoom),this.segments=new Oa,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};cl.prototype.populate=function(t,e,r){this.hasPattern=zs(\"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,u=s.id,c=s.index,f=s.sourceLayerIndex,h=this.layers[0]._featureFilter.needGeometry,p={type:l.type,id:u,properties:l.properties,geometry:h?po(l):[]};if(this.layers[0]._featureFilter.filter(new Pi(this.zoom),p,r)){h||(p.geometry=po(l));var d=n?n.evaluate(p,{},r):void 0,v={id:u,properties:l.properties,type:l.type,sourceLayerIndex:f,index:c,geometry:p.geometry,patterns:{},sortKey:d};i.push(v)}}n&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var g=0,y=i;g<y.length;g+=1){var m=y[g],x=m,b=x.geometry,_=x.index,w=x.sourceLayerIndex;if(this.hasPattern){var T=Rs(\"line\",this.layers,m,this.zoom,e);this.patternFeatures.push(T)}else this.addFeature(m,b,_,r,{});var k=t[_].feature;e.featureIndex.insert(k,b,_,w,this.index)}},cl.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},cl.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)}},cl.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},cl.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},cl.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,ol),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},cl.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},cl.prototype.addFeature=function(t,e,r,n,i){for(var a=this.layers[0].layout,o=a.get(\"line-join\").evaluate(t,{}),s=a.get(\"line-cap\"),l=a.get(\"line-miter-limit\"),u=a.get(\"line-round-limit\"),c=0,f=e;c<f.length;c+=1){var h=f[c];this.addLine(h,t,o,s,l,u)}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},cl.prototype.addLine=function(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,e.properties&&e.properties.hasOwnProperty(\"mapbox_clip_start\")&&e.properties.hasOwnProperty(\"mapbox_clip_end\")){this.clipStart=+e.properties.mapbox_clip_start,this.clipEnd=+e.properties.mapbox_clip_end;for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance()}for(var s=\"Polygon\"===sl[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var u=0;u<l-1&&t[u].equals(t[u+1]);)u++;if(!(l<(s?3:2))){\"bevel\"===r&&(i=1.05);var c,f=this.overscaling<=16?15*co/(512*this.overscaling):0,h=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 0,d=void 0,v=void 0,g=void 0;this.e1=this.e2=-1,s&&(c=t[l-2],g=t[u].sub(c)._unit()._perp());for(var y=u;y<l;y++)if(!(d=y===l-1?s?t[u+1]:void 0:t[y+1])||!t[y].equals(d)){g&&(v=g),c&&(p=c),c=t[y],g=d?d.sub(c)._unit()._perp():v;var m=(v=v||g).add(g);0===m.x&&0===m.y||m._unit();var x=v.x*g.x+v.y*g.y,b=m.x*g.x+m.y*g.y,_=0!==b?1/b:1/0,w=2*Math.sqrt(2-2*b),T=b<ll&&p&&d,k=v.x*g.y-v.y*g.x>0;if(T&&y>u){var A=c.dist(p);if(A>2*f){var M=c.sub(c.sub(p)._mult(f/A)._round());this.updateDistance(p,M),this.addCurrentVertex(M,v,0,0,h),p=M}}var S=p&&d,E=S?r:s?\"butt\":n;if(S&&\"round\"===E&&(_<a?E=\"miter\":_<=2&&(E=\"fakeround\")),\"miter\"===E&&_>i&&(E=\"bevel\"),\"bevel\"===E&&(_>2&&(E=\"flipbevel\"),_<i&&(E=\"miter\")),p&&this.updateDistance(p,c),\"miter\"===E)m._mult(_),this.addCurrentVertex(c,m,0,0,h);else if(\"flipbevel\"===E){if(_>100)m=g.mult(-1);else{var L=_*v.add(g).mag()/v.sub(g).mag();m._perp()._mult(L*(k?-1:1))}this.addCurrentVertex(c,m,0,0,h),this.addCurrentVertex(c,m.mult(-1),0,0,h)}else if(\"bevel\"===E||\"fakeround\"===E){var C=-Math.sqrt(_*_-1),P=k?C:0,O=k?0:C;if(p&&this.addCurrentVertex(c,v,P,O,h),\"fakeround\"===E)for(var I=Math.round(180*w/Math.PI/20),D=1;D<I;D++){var z=D/I;if(.5!==z){var R=z-.5;z+=z*R*(z-1)*((1.0904+x*(x*(3.55645-1.43519*x)-3.2452))*R*R+(.848013+x*(.215638*x-1.06021)))}var F=g.sub(v)._mult(z)._add(v)._unit()._mult(k?-1:1);this.addHalfVertex(c,F.x,F.y,!1,k,0,h)}d&&this.addCurrentVertex(c,g,-P,-O,h)}else if(\"butt\"===E)this.addCurrentVertex(c,m,0,0,h);else if(\"square\"===E){var B=p?1:-1;this.addCurrentVertex(c,m,B,B,h)}else\"round\"===E&&(p&&(this.addCurrentVertex(c,v,0,0,h),this.addCurrentVertex(c,v,1,1,h,!0)),d&&(this.addCurrentVertex(c,g,-1,-1,h,!0),this.addCurrentVertex(c,g,0,0,h)));if(T&&y<l-1){var N=c.dist(d);if(N>2*f){var j=c.add(d.sub(c)._mult(f/N)._round());this.updateDistance(c,j),this.addCurrentVertex(j,g,0,0,h),c=j}}}}},cl.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,u=-e.y-e.x*n;this.addHalfVertex(t,o,s,a,!1,r,i),this.addHalfVertex(t,l,u,a,!0,-n,i),this.distance>ul/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,i,a))},cl.prototype.addHalfVertex=function(t,e,r,n,i,a,o){var s=t.x,l=t.y,u=.5*this.scaledDistance;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&u)<<2,u>>6);var c=o.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,c),o.primitiveLength++),i?this.e2=c:this.e1=c},cl.prototype.updateScaledDistance=function(){this.scaledDistance=this.totalDistance>0?(this.clipStart+(this.clipEnd-this.clipStart)*this.distance/this.totalDistance)*(ul-1):this.distance},cl.prototype.updateDistance=function(t,e){this.distance+=t.dist(e),this.updateScaledDistance()},ni(\"LineBucket\",cl,{omit:[\"layers\",\"patternFeatures\"]});var fl=new Gi({\"line-cap\":new ji(Dt.layout_line[\"line-cap\"]),\"line-join\":new Ui(Dt.layout_line[\"line-join\"]),\"line-miter-limit\":new ji(Dt.layout_line[\"line-miter-limit\"]),\"line-round-limit\":new ji(Dt.layout_line[\"line-round-limit\"]),\"line-sort-key\":new Ui(Dt.layout_line[\"line-sort-key\"])}),hl={paint:new Gi({\"line-opacity\":new Ui(Dt.paint_line[\"line-opacity\"]),\"line-color\":new Ui(Dt.paint_line[\"line-color\"]),\"line-translate\":new ji(Dt.paint_line[\"line-translate\"]),\"line-translate-anchor\":new ji(Dt.paint_line[\"line-translate-anchor\"]),\"line-width\":new Ui(Dt.paint_line[\"line-width\"]),\"line-gap-width\":new Ui(Dt.paint_line[\"line-gap-width\"]),\"line-offset\":new Ui(Dt.paint_line[\"line-offset\"]),\"line-blur\":new Ui(Dt.paint_line[\"line-blur\"]),\"line-dasharray\":new Hi(Dt.paint_line[\"line-dasharray\"]),\"line-pattern\":new Vi(Dt.paint_line[\"line-pattern\"]),\"line-gradient\":new qi(Dt.paint_line[\"line-gradient\"])}),layout:fl},pl=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(e,r){return r=new Pi(Math.floor(r.zoom),{now:r.now,fadeDuration:r.fadeDuration,zoomHistory:r.zoomHistory,transition:r.transition}),t.prototype.possiblyEvaluate.call(this,e,r)},e.prototype.evaluate=function(e,r,n,i){return r=f({},r,{zoom:Math.floor(r.zoom)}),t.prototype.evaluate.call(this,e,r,n,i)},e}(Ui),dl=new pl(hl.paint.properties[\"line-width\"].specification);dl.useIntegerZoom=!0;var vl=function(t){function e(e){t.call(this,e,hl)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._handleSpecialPaintPropertyUpdate=function(t){\"line-gradient\"===t&&this._updateGradient()},e.prototype._updateGradient=function(){var t=this._transitionablePaint._values[\"line-gradient\"].value.expression;this.gradient=Jo(t,\"lineProgress\"),this.gradientTexture=null},e.prototype.recalculate=function(e,r){t.prototype.recalculate.call(this,e,r),this.paint._values[\"line-floorwidth\"]=dl.possiblyEvaluate(this._transitioningPaint._values[\"line-width\"].value,e)},e.prototype.createBucket=function(t){return new cl(t)},e.prototype.queryRadius=function(t){var e=t,r=gl(Eo(\"line-width\",this,e),Eo(\"line-gap-width\",this,e)),n=Eo(\"line-offset\",this,e);return r/2+Math.abs(n)+Lo(this.paint.get(\"line-translate\"))},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,o,s){var l=Co(t,this.paint.get(\"line-translate\"),this.paint.get(\"line-translate-anchor\"),o.angle,s),u=s/2*gl(this.paint.get(\"line-width\").evaluate(e,r),this.paint.get(\"line-gap-width\").evaluate(e,r)),c=this.paint.get(\"line-offset\").evaluate(e,r);return c&&(n=function(t,e){for(var r=[],n=new a(0,0),i=0;i<t.length;i++){for(var o=t[i],s=[],l=0;l<o.length;l++){var u=o[l-1],c=o[l],f=o[l+1],h=0===l?n:c.sub(u)._unit()._perp(),p=l===o.length-1?n:f.sub(c)._unit()._perp(),d=h._add(p)._unit(),v=d.x*p.x+d.y*p.y;d._mult(1/v),s.push(d._mult(e)._add(c))}r.push(s)}return r}(n,c*s)),function(t,e,r){for(var n=0;n<e.length;n++){var i=e[n];if(t.length>=3)for(var a=0;a<i.length;a++)if(Mo(t,i[a]))return!0;if(bo(t,i,r))return!0}return!1}(l,n,u)},e.prototype.isTileClipped=function(){return!0},e}(Yi);function gl(t,e){return e>0?e+2*t:t}var 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Yl=3;function Wl(t,e,r){1===t&&r.readMessage(Xl,e)}function Xl(t,e,r){if(3===t){var n=r.readMessage(Jl,{}),i=n.id,a=n.bitmap,o=n.width,s=n.height,l=n.left,u=n.top,c=n.advance;e.push({id:i,bitmap:new Yo({width:o+2*Yl,height:s+2*Yl},a),metrics:{width:o,height:s,left:l,top:u,advance:c}})}}function Jl(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 Kl=Yl;function $l(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,u=0,c=t;u<c.length;u+=1)for(var f=c[u],h=o.length-1;h>=0;h--){var p=o[h];if(!(f.w>p.w||f.h>p.h)){if(f.x=p.x,f.y=p.y,l=Math.max(l,f.y+f.h),s=Math.max(s,f.x+f.w),f.w===p.w&&f.h===p.h){var d=o.pop();h<o.length&&(o[h]=d)}else 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t.dispatchRenderCallbacks(this.haveRenderCallbacks),t.updatedImages)this.patchUpdatedImage(this.iconPositions[r],t.getImage(r),e),this.patchUpdatedImage(this.patternPositions[r],t.getImage(r),e)},ru.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})}},ni(\"ImagePosition\",tu),ni(\"ImageAtlas\",ru);var nu={horizontal:1,vertical:2,horizontalOnly:3},iu=-17;var au=function(){this.scale=1,this.fontStack=\"\",this.imageName=null};au.forText=function(t,e){var r=new au;return r.scale=t||1,r.fontStack=e,r},au.forImage=function(t){var e=new au;return e.imageName=t,e};var ou=function(){this.text=\"\",this.sectionIndex=[],this.sections=[],this.imageSectionID=null};function su(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=ou.fromFeature(t,i);f===nu.vertical&&y.verticalizePunctuation();var m=Ci.processBidirectionalText,x=Ci.processStyledBidirectionalText;if(m&&1===y.sections.length){g=[];for(var b=0,_=m(y.toString(),vu(y,u,a,e,n,p,d));b<_.length;b+=1){var w=_[b],T=new ou;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,vu(y,u,a,e,n,p,d));A<M.length;A+=1){var S=M[A],E=new ou;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,vu(y,u,a,e,n,p,d));var L=[],C={positionedLines:L,text:y.toString(),top:c[1],bottom:c[1],left:c[0],right:c[0],writingMode:f,iconsInText:!1,verticalizable:!1};return function(t,e,r,n,i,a,o,s,l,u,c,f){for(var h=0,p=iu,d=0,v=0,g=\"right\"===s?1:\"left\"===s?0:.5,y=0,m=0,x=i;m<x.length;m+=1){var b=x[m];b.trim();var _=b.getMaxScale(),w=(_-1)*kl,T={positionedGlyphs:[],lineOffset:0};t.positionedLines[y]=T;var k=T.positionedGlyphs,A=0;if(b.length()){for(var M=0;M<b.length();M++){var S=b.getSection(M),E=b.getSectionIndex(M),L=b.getCharCode(M),C=0,P=null,O=null,I=null,D=kl,z=!(l===nu.horizontal||!c&&!hi(L)||c&&(lu[L]||di(L)));if(S.imageName){var R=n[S.imageName];if(!R)continue;I=S.imageName,t.iconsInText=t.iconsInText||!0,O=R.paddedRect;var F=R.displaySize;S.scale=S.scale*kl/f,P={width:F[0],height:F[1],left:Ql,top:-Kl,advance:z?F[1]:F[0]},C=w+(kl-F[1]*S.scale),D=P.advance;var B=z?F[0]*S.scale-kl*_:F[1]*S.scale-kl*_;B>0&&B>A&&(A=B)}else{var N=r[S.fontStack],j=N&&N[L];if(j&&j.rect)O=j.rect,P=j.metrics;else{var U=e[S.fontStack],V=U&&U[L];if(!V)continue;P=V.metrics}C=(_-S.scale)*kl}z?(t.verticalizable=!0,k.push({glyph:L,imageName:I,x:h,y:p+C,vertical:z,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:O}),h+=D*S.scale+u):(k.push({glyph:L,imageName:I,x:h,y:p+C,vertical:z,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:O}),h+=P.advance*S.scale+u)}if(0!==k.length){var H=h-u;d=Math.max(H,d),yu(k,0,k.length-1,g,A)}h=0;var q=a*_+A;T.lineOffset=Math.max(A,w),p+=q,v=Math.max(q,v),++y}else p+=a,++y}var G=p-iu,Z=gu(o),Y=Z.horizontalAlign,W=Z.verticalAlign;(function(t,e,r,n,i,a,o,s,l){var u=(e-r)*i,c=0;c=a!==o?-s*n-iu:(-n*l+.5)*o;for(var f=0,h=t;f<h.length;f+=1)for(var p=0,d=h[f].positionedGlyphs;p<d.length;p+=1){var v=d[p];v.x+=u,v.y+=c}})(t.positionedLines,g,Y,W,d,v,a,G,i.length),t.top+=-W*G,t.bottom=t.top+G,t.left+=-Y*d,t.right=t.left+d}(C,e,r,n,g,o,s,l,f,u,h,v),!function(t){for(var e=0,r=t;e<r.length;e+=1)if(0!==r[e].positionedGlyphs.length)return!1;return!0}(L)&&C}ou.fromFeature=function(t,e){for(var r=new ou,n=0;n<t.sections.length;n++){var i=t.sections[n];i.image?r.addImageSection(i):r.addTextSection(i,e)}return r},ou.prototype.length=function(){return this.text.length},ou.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},ou.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},ou.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},ou.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&&pi(n)&&!Tl[t[r+1]]||i&&pi(i)&&!Tl[t[r-1]]||!Tl[t[r]]?e+=t[r]:e+=Tl[t[r]]}return e}(this.text)},ou.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&lu[this.text.charCodeAt(e)];e++)t++;for(var r=this.text.length,n=this.text.length-1;n>=0&&n>=t&&lu[this.text.charCodeAt(n)];n--)r--;this.text=this.text.substring(t,r),this.sectionIndex=this.sectionIndex.slice(t,r)},ou.prototype.substring=function(t,e){var r=new ou;return r.text=this.text.substring(t,e),r.sectionIndex=this.sectionIndex.slice(t,e),r.sections=this.sections,r},ou.prototype.toString=function(){return this.text},ou.prototype.getMaxScale=function(){var t=this;return this.sectionIndex.reduce((function(e,r){return Math.max(e,t.sections[r].scale)}),0)},ou.prototype.addTextSection=function(t,e){this.text+=t.text,this.sections.push(au.forText(t.scale,t.fontStack||e));for(var r=this.sections.length-1,n=0;n<t.text.length;++n)this.sectionIndex.push(r)},ou.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(au.forImage(e)),this.sectionIndex.push(this.sections.length-1)):w(\"Reached maximum number of images 6401\")}else w(\"Can't add FormattedSection with an empty image.\")},ou.prototype.getNextImageSectionCharCode=function(){return this.imageSectionID?this.imageSectionID>=63743?null:++this.imageSectionID:(this.imageSectionID=57344,this.imageSectionID)};var lu={9:!0,10:!0,11:!0,12:!0,13:!0,32:!0},uu={};function cu(t,e,r,n,i,a){if(e.imageName){var o=n[e.imageName];return o?o.displaySize[0]*e.scale*kl/a+i:0}var s=r[e.fontStack],l=s&&s[t];return l?l.metrics.advance*e.scale+i:0}function fu(t,e,r,n){var i=Math.pow(t-e,2);return n?t<e?i/2:2*i:i+Math.abs(r)*r}function hu(t,e,r){var n=0;return 10===t&&(n-=1e4),r&&(n+=150),40!==t&&65288!==t||(n+=50),41!==e&&65289!==e||(n+=50),n}function pu(t,e,r,n,i,a){for(var o=null,s=fu(e,r,i,a),l=0,u=n;l<u.length;l+=1){var c=u[l],f=fu(e-c.x,r,i,a)+c.badness;f<=s&&(o=c,s=f)}return{index:t,x:e,priorBreak:o,badness:s}}function du(t){return t?du(t.priorBreak).concat(t.index):[]}function vu(t,e,r,n,i,a,o){if(\"point\"!==a)return[];if(!t)return[];for(var s=[],l=function(t,e,r,n,i,a){for(var o=0,s=0;s<t.length();s++){var l=t.getSection(s);o+=cu(t.getCharCode(s),l,n,i,e,a)}return o/Math.max(1,Math.ceil(o/r))}(t,e,r,n,i,o),u=t.text.indexOf(\"​\")>=0,c=0,f=0;f<t.length();f++){var h=t.getSection(f),p=t.getCharCode(f);if(lu[p]||(c+=cu(p,h,n,i,e,o)),f<t.length()-1){var d=!((v=p)<11904||!(ci[\"Bopomofo Extended\"](v)||ci.Bopomofo(v)||ci[\"CJK Compatibility Forms\"](v)||ci[\"CJK Compatibility 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yu(t,e,r,n,i){if(n||i)for(var a=t[r],o=a.metrics.advance*a.scale,s=(t[r].x+o)*n,l=e;l<=r;l++)t[l].x-=s,t[l].y+=i}function mu(t,e,r,n,i,a){var o,s=t.image;if(s.content){var l=s.content,u=s.pixelRatio||1;o=[l[0]/u,l[1]/u,s.displaySize[0]-l[2]/u,s.displaySize[1]-l[3]/u]}var c,f,h,p,d=e.left*a,v=e.right*a;\"width\"===r||\"both\"===r?(p=i[0]+d-n[3],f=i[0]+v+n[1]):f=(p=i[0]+(d+v-s.displaySize[0])/2)+s.displaySize[0];var g=e.top*a,y=e.bottom*a;return\"height\"===r||\"both\"===r?(c=i[1]+g-n[0],h=i[1]+y+n[2]):h=(c=i[1]+(g+y-s.displaySize[1])/2)+s.displaySize[1],{image:s,top:c,right:f,bottom:h,left:p,collisionPadding:o}}uu[10]=!0,uu[32]=!0,uu[38]=!0,uu[40]=!0,uu[41]=!0,uu[43]=!0,uu[45]=!0,uu[47]=!0,uu[173]=!0,uu[183]=!0,uu[8203]=!0,uu[8208]=!0,uu[8211]=!0,uu[8231]=!0;var xu=function(t){function e(e,r,n,i){t.call(this,e,r),this.angle=n,void 0!==i&&(this.segment=i)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.clone=function(){return new 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Oa,this.collisionVertexArray=new ca};oc.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,xl.members,!0)},oc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},ni(\"CollisionBuffers\",oc);var sc=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=Do([]),this.placementViewportMatrix=Do([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=_u(this.zoom,e[\"text-size\"]),this.iconSizeData=_u(this.zoom,e[\"icon-size\"]);var r=this.layers[0].layout,n=r.get(\"symbol-sort-key\"),i=r.get(\"symbol-z-order\");this.sortFeaturesByKey=\"viewport-y\"!==i&&void 0!==n.constantOr(1);var a=\"viewport-y\"===i||\"auto\"===i&&!this.sortFeaturesByKey;this.sortFeaturesByY=a&&(r.get(\"text-allow-overlap\")||r.get(\"icon-allow-overlap\")||r.get(\"text-ignore-placement\")||r.get(\"icon-ignore-placement\")),\"point\"===r.get(\"symbol-placement\")&&(this.writingModes=r.get(\"text-writing-mode\").map((function(t){return nu[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};sc.prototype.createArrays=function(){this.text=new ac(new so(yl.members,this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new ac(new so(yl.members,this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new Sa,this.lineVertexArray=new Ea,this.symbolInstances=new Ma},sc.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=Tl[t.charAt(a)];o&&(e[o.charCodeAt(0)]=!0)}},sc.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 ue&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&(\"constant\"!==a.value.kind||a.value.value.length>0),u=\"constant\"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,c=i.get(\"symbol-sort-key\");if(this.features=[],l||u){for(var f=e.iconDependencies,h=e.glyphDependencies,p=e.availableImages,d=new Pi(this.zoom),v=0,g=t;v<g.length;v+=1){var y=g[v],m=y.feature,x=y.id,b=y.index,_=y.sourceLayerIndex,w=n._featureFilter.needGeometry,T={type:m.type,id:x,properties:m.properties,geometry:w?po(m):[]};if(n._featureFilter.filter(d,T,r)){w||(T.geometry=po(m));var k=void 0;if(l){var A=n.getValueAndResolveTokens(\"text-field\",T,r,p),M=ue.factory(A);ic(M)&&(this.hasRTLText=!0),(!this.hasRTLText||\"unavailable\"===Ei()||this.hasRTLText&&Ci.isParsed())&&(k=wl(M,n,T))}var S=void 0;if(u){var E=n.getValueAndResolveTokens(\"icon-image\",T,r,p);S=E instanceof ce?E:ce.fromString(E)}if(k||S){var L=this.sortFeaturesByKey?c.evaluate(T,{},r):void 0,C={id:x,text:k,icon:S,index:b,sourceLayerIndex:_,geometry:po(m),properties:m.properties,type:tc[m.type],sortKey:L};if(this.features.push(C),S&&(f[S.name]=!0),k){var P=a.evaluate(T,{},r).join(\",\"),O=\"map\"===i.get(\"text-rotation-alignment\")&&\"point\"!==i.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(nu.vertical)>=0;for(var I=0,D=k.sections;I<D.length;I+=1){var z=D[I];if(z.image)f[z.image.name]=!0;else{var R=fi(k.toString()),F=z.fontStack||P,B=h[F]=h[F]||{};this.calculateGlyphDependencies(z.text,B,O,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 u=0;u<t.length;u++){var c=t[u],f=c.geometry,h=c.text?c.text.toString():null;if(h){var p=l(h,f),d=l(h,f,!0);if(p in r&&d in e&&r[p]!==e[d]){var v=s(p,d,f),g=o(p,d,n[v].geometry);delete e[p],delete r[d],r[l(h,n[g].geometry,!0)]=g,n[v].geometry=null}else p in r?o(p,d,f):d in e?s(p,d,f):(a(u),e[p]=i-1,r[d]=i-1)}else a(u)}return n.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}))}},sc.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))},sc.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},sc.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},sc.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},sc.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},sc.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},sc.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 u=a[l];this.lineVertexArray.emplaceBack(u.x,u.y,u.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},sc.prototype.addSymbols=function(t,e,r,n,i,a,o,s,l,u,c,f){for(var h=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,h,a.sortKey),v=this.glyphOffsetArray.length,g=d.vertexLength,y=this.allowVerticalPlacement&&o===nu.vertical?Math.PI/2:0,m=a.text&&a.text.sections,x=0;x<e.length;x++){var b=e[x],_=b.tl,w=b.tr,T=b.bl,k=b.br,A=b.tex,M=b.pixelOffsetTL,S=b.pixelOffsetBR,E=b.minFontScaleX,L=b.minFontScaleY,C=b.glyphOffset,P=b.isSDF,O=b.sectionIndex,I=d.vertexLength,D=C[1];rc(p,s.x,s.y,_.x,D+_.y,A.x,A.y,r,P,M.x,M.y,E,L),rc(p,s.x,s.y,w.x,D+w.y,A.x+A.w,A.y,r,P,S.x,M.y,E,L),rc(p,s.x,s.y,T.x,D+T.y,A.x,A.y+A.h,r,P,M.x,S.y,E,L),rc(p,s.x,s.y,k.x,D+k.y,A.x+A.w,A.y+A.h,r,P,S.x,S.y,E,L),nc(t.dynamicLayoutVertexArray,s,y),h.emplaceBack(I,I+1,I+2),h.emplaceBack(I+1,I+2,I+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(C[0]),x!==e.length-1&&O===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,a,a.index,{},f,m&&m[O])}t.placedSymbolArray.emplaceBack(s.x,s.y,v,this.glyphOffsetArray.length-v,g,l,u,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,c)},sc.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))},sc.prototype.addCollisionDebugVertices=function(t,e,r,n,i,o,s){var l=i.segments.prepareSegment(4,i.layoutVertexArray,i.indexArray),u=l.vertexLength,c=i.layoutVertexArray,f=i.collisionVertexArray,h=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(c,f,o,h,p,new a(t,e)),this._addCollisionDebugVertex(c,f,o,h,p,new a(r,e)),this._addCollisionDebugVertex(c,f,o,h,p,new a(r,n)),this._addCollisionDebugVertex(c,f,o,h,p,new a(t,n)),l.vertexLength+=4;var d=i.indexArray;d.emplaceBack(u,u+1),d.emplaceBack(u+1,u+2),d.emplaceBack(u+2,u+3),d.emplaceBack(u+3,u),l.primitiveLength+=4},sc.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,u=a.y2;this.addCollisionDebugVertices(o,s,l,u,n?this.textCollisionBox:this.iconCollisionBox,a.anchorPoint,r)}},sc.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new oc(la,bl.members,ya),this.iconCollisionBox=new oc(la,bl.members,ya);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)}},sc.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,i,a,o,s,l){for(var u={},c=e;c<r;c++){var f=t.get(c);u.textBox={x1:f.x1,y1:f.y1,x2:f.x2,y2:f.y2,anchorPointX:f.anchorPointX,anchorPointY:f.anchorPointY},u.textFeatureIndex=f.featureIndex;break}for(var h=n;h<i;h++){var p=t.get(h);u.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},u.verticalTextFeatureIndex=p.featureIndex;break}for(var d=a;d<o;d++){var v=t.get(d);u.iconBox={x1:v.x1,y1:v.y1,x2:v.x2,y2:v.y2,anchorPointX:v.anchorPointX,anchorPointY:v.anchorPointY},u.iconFeatureIndex=v.featureIndex;break}for(var g=s;g<l;g++){var y=t.get(g);u.verticalIconBox={x1:y.x1,y1:y.y1,x2:y.x2,y2:y.y2,anchorPointX:y.anchorPointX,anchorPointY:y.anchorPointY},u.verticalIconFeatureIndex=y.featureIndex;break}return u},sc.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))}},sc.prototype.hasTextData=function(){return this.text.segments.get().length>0},sc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},sc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},sc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},sc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},sc.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)},sc.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},sc.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})},sc.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)}},ni(\"SymbolBucket\",sc,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),sc.MAX_GLYPHS=65535,sc.addDynamicAttributes=nc;var lc=new Gi({\"symbol-placement\":new ji(Dt.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new ji(Dt.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new ji(Dt.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new Ui(Dt.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new ji(Dt.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new ji(Dt.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new ji(Dt.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new ji(Dt.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new ji(Dt.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new Ui(Dt.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new ji(Dt.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new ji(Dt.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new Ui(Dt.layout_symbol[\"icon-image\"]),\"icon-rotate\":new Ui(Dt.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new ji(Dt.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new ji(Dt.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new Ui(Dt.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new Ui(Dt.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new ji(Dt.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new ji(Dt.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new ji(Dt.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new Ui(Dt.layout_symbol[\"text-field\"]),\"text-font\":new Ui(Dt.layout_symbol[\"text-font\"]),\"text-size\":new Ui(Dt.layout_symbol[\"text-size\"]),\"text-max-width\":new Ui(Dt.layout_symbol[\"text-max-width\"]),\"text-line-height\":new ji(Dt.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new Ui(Dt.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new Ui(Dt.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new Ui(Dt.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new ji(Dt.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new Ui(Dt.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new ji(Dt.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new ji(Dt.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new Ui(Dt.layout_symbol[\"text-rotate\"]),\"text-padding\":new ji(Dt.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new ji(Dt.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new Ui(Dt.layout_symbol[\"text-transform\"]),\"text-offset\":new Ui(Dt.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new ji(Dt.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new ji(Dt.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new ji(Dt.layout_symbol[\"text-optional\"])}),uc={paint:new Gi({\"icon-opacity\":new Ui(Dt.paint_symbol[\"icon-opacity\"]),\"icon-color\":new Ui(Dt.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new Ui(Dt.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new Ui(Dt.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new Ui(Dt.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new ji(Dt.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new ji(Dt.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new Ui(Dt.paint_symbol[\"text-opacity\"]),\"text-color\":new Ui(Dt.paint_symbol[\"text-color\"],{runtimeType:Zt,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new Ui(Dt.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new Ui(Dt.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new Ui(Dt.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new ji(Dt.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new ji(Dt.paint_symbol[\"text-translate-anchor\"])}),layout:lc},cc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Vt,this.defaultValue=t};cc.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},cc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},cc.prototype.outputDefined=function(){return!1},cc.prototype.serialize=function(){return null},ni(\"FormatSectionOverride\",cc,{omit:[\"defaultValue\"]});var fc=function(t){function e(e){t.call(this,e,uc)}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()||sn(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 sc(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=uc.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 cc(a),s=new on(o,a.property.specification);i=\"constant\"===a.value.kind||\"source\"===a.value.kind?new un(\"source\",s):new cn(\"composite\",s,a.value.zoomStops,a.value._interpolationType),this.paint._values[n]=new Bi(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=uc.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 ue)a(r.value.value.sections);else if(\"source\"===r.value.kind){var o=function(t){if(!i)if(t instanceof ve&&pe(t.value)===Jt){var e=t.value;a(e.sections)}else t instanceof xe?a(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return i},e}(Yi),hc={paint:new Gi({\"background-color\":new ji(Dt.paint_background[\"background-color\"]),\"background-pattern\":new Hi(Dt.paint_background[\"background-pattern\"]),\"background-opacity\":new ji(Dt.paint_background[\"background-opacity\"])})},pc=function(t){function e(e){t.call(this,e,hc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Yi),dc={paint:new Gi({\"raster-opacity\":new ji(Dt.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new ji(Dt.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new ji(Dt.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new ji(Dt.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new ji(Dt.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new ji(Dt.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new ji(Dt.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new ji(Dt.paint_raster[\"raster-fade-duration\"])})},vc=function(t){function e(e){t.call(this,e,dc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Yi);var gc=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}(Yi),yc={circle:Uo,heatmap:Ko,hillshade:Qo,fill:js,\"fill-extrusion\":nl,line:vl,symbol:fc,background:pc,raster:vc};var mc=self.HTMLImageElement,xc=self.HTMLCanvasElement,bc=self.HTMLVideoElement,_c=self.ImageData,wc=self.ImageBitmap,Tc=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Tc.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 mc||t instanceof xc||t instanceof bc||t instanceof _c||wc&&t instanceof wc?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},u=l.x,c=l.y;t instanceof mc||t instanceof xc||t instanceof bc||t instanceof _c||wc&&t instanceof wc?s.texSubImage2D(s.TEXTURE_2D,0,u,c,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,u,c,n,i,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Tc.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)},Tc.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Tc.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var kc=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()})};kc.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))},kc.prototype.remove=function(){delete this._channel,this._callback=function(){}};var Ac=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},g([\"receive\",\"process\"],this),this.invoker=new kc(this.process),this.target.addEventListener(\"message\",this.receive,!1),this.globalScope=A()?t:self};function Mc(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]}Ac.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=E(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:i,sourceMapId:this.mapId,data:si(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:\"<cancel>\",targetMapId:n,sourceMapId:a.mapId})}}},Ac.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 A()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},Ac.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)}},Ac.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(li(e.error)):n(null,li(e.data)))}else{var i=!1,a=E(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?si(e):null,data:si(n,a)},a)}:function(t){i=!0},s=null,l=li(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var u=e.type.split(\".\");s=this.parent.getWorkerSource(e.sourceMapId,u[0],l.source)[u[1]](l,o)}else o(new Error(\"Could not find function \"+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},Ac.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var Sc=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]))};Sc.prototype.setNorthEast=function(t){return this._ne=t instanceof Lc?new Lc(t.lng,t.lat):Lc.convert(t),this},Sc.prototype.setSouthWest=function(t){return this._sw=t instanceof Lc?new Lc(t.lng,t.lat):Lc.convert(t),this},Sc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Lc)e=t,r=t;else{if(!(t instanceof Sc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Sc.convert(a))}var o=t;return this.extend(Lc.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 Lc(e.lng,e.lat),this._ne=new Lc(r.lng,r.lat)),this},Sc.prototype.getCenter=function(){return new Lc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Sc.prototype.getSouthWest=function(){return this._sw},Sc.prototype.getNorthEast=function(){return this._ne},Sc.prototype.getNorthWest=function(){return new Lc(this.getWest(),this.getNorth())},Sc.prototype.getSouthEast=function(){return new Lc(this.getEast(),this.getSouth())},Sc.prototype.getWest=function(){return this._sw.lng},Sc.prototype.getSouth=function(){return this._sw.lat},Sc.prototype.getEast=function(){return this._ne.lng},Sc.prototype.getNorth=function(){return this._ne.lat},Sc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Sc.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Sc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Sc.prototype.contains=function(t){var e=Lc.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},Sc.convert=function(t){return!t||t instanceof Sc?t:new Sc(t)};var Ec=6371008.8,Lc=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\")};Lc.prototype.wrap=function(){return new Lc(c(this.lng,-180,180),this.lat)},Lc.prototype.toArray=function(){return[this.lng,this.lat]},Lc.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Lc.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 Ec*Math.acos(Math.min(i,1))},Lc.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 Sc(new Lc(this.lng-r,this.lat-e),new Lc(this.lng+r,this.lat+e))},Lc.convert=function(t){if(t instanceof Lc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Lc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new Lc(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 Cc=2*Math.PI*Ec;function Pc(t){return Cc*Math.cos(t*Math.PI/180)}function Oc(t){return(180+t)/360}function Ic(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Dc(t,e){return t/Pc(e)}function zc(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var Rc=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};Rc.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Lc.convert(t);return new Rc(Oc(r.lng),Ic(r.lat),Dc(e,r.lat))},Rc.prototype.toLngLat=function(){return new Lc(360*this.x-180,zc(this.y))},Rc.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Pc(zc(e));var t,e},Rc.prototype.meterInMercatorCoordinateUnits=function(){return 1/Cc*(t=zc(this.y),1/Math.cos(t*Math.PI/180));var t};var Fc=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=jc(0,t,t,e,r)};Fc.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},Fc.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Mc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Mc(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)},Fc.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new a((t.x*e-this.x)*co,(t.y*e-this.y)*co)},Fc.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y};var Bc=function(t,e){this.wrap=t,this.canonical=e,this.key=jc(t,e.z,e.z,e.x,e.y)},Nc=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new Fc(r,+n,+i),this.key=jc(e,t,r,n,i)};function jc(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)}Nc.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},Nc.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new Nc(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Nc(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Nc.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?jc(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):jc(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},Nc.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},Nc.prototype.children=function(t){if(this.overscaledZ>=t)return[new Nc(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 Nc(e,this.wrap,e,r,n),new Nc(e,this.wrap,e,r+1,n),new Nc(e,this.wrap,e,r,n+1),new Nc(e,this.wrap,e,r+1,n+1)]},Nc.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))},Nc.prototype.wrapped=function(){return new Nc(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},Nc.prototype.unwrapTo=function(t){return new Nc(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},Nc.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},Nc.prototype.toUnwrapped=function(){return new Bc(this.wrap,this.canonical)},Nc.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},Nc.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new Rc(t.x-this.wrap,t.y))},ni(\"CanonicalTileID\",Fc),ni(\"OverscaledTileID\",Nc,{omit:[\"posMatrix\"]});var Uc=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 w('\"'+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)]};Uc.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])},Uc.prototype.getUnpackVector=function(){return\"terrarium\"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},Uc.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)},Uc.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Uc.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Uc.prototype.getPixels=function(){return new Wo({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Uc.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,u=a;u<o;u++)for(var c=n;c<i;c++)this.data[this._idx(c,u)]=t.data[this._idx(c+s,u+l)]},ni(\"DEMData\",Uc);var Vc=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}};Vc.prototype.encode=function(t){return this._stringToNumber[t]},Vc.prototype.decode=function(t){return this._numberToString[t]};var Hc=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},qc={geometry:{configurable:!0}};qc.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},qc.geometry.set=function(t){this._geometry=t},Hc.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(Hc.prototype,qc);var Gc=function(){this.state={},this.stateChanges={},this.deletedStates={}};Gc.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]||{},f(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]},Gc.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}},Gc.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},i=this.stateChanges[t]||{},a=f({},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},Gc.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},Gc.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]={}),f(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 u in this.deletedStates[o]){if(null===this.deletedStates[o][u])this.state[o][u]={};else for(var c=0,h=Object.keys(this.deletedStates[o][u]);c<h.length;c+=1){var p=h[c];delete this.state[o][u][p]}s[u]=this.state[o][u]}r[o]=r[o]||{},f(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t)t[d].setFeatureState(r,e)};var Zc=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new Kn(co,16,0),this.grid3D=new Kn(co,16,0),this.featureIndexArray=new Ca,this.promoteId=e};function Yc(t,e,r,n,i){return m(t,(function(t,a){var o=e instanceof Ni?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function Wc(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 Xc(t,e){return e-t}Zc.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 u=e[l],c=[1/0,1/0,-1/0,-1/0],f=0;f<u.length;f++){var h=u[f];c[0]=Math.min(c[0],h.x),c[1]=Math.min(c[1],h.y),c[2]=Math.max(c[2],h.x),c[3]=Math.max(c[3],h.y)}c[0]<co&&c[1]<co&&c[2]>=0&&c[3]>=0&&s.insert(o,c[0],c[1],c[2],c[3])}},Zc.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new Js.VectorTile(new Sl(this.rawTileData)).layers,this.sourceLayerCoder=new Vc(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},Zc.prototype.query=function(t,e,r,n){var i=this;this.loadVTLayers();for(var o=t.params||{},s=co/t.tileSize/t.scale,l=wn(o.filter),u=t.queryGeometry,c=t.queryPadding*s,f=Wc(u),h=this.grid.query(f.minX-c,f.minY-c,f.maxX+c,f.maxY+c),p=Wc(t.cameraQueryGeometry),d=0,v=this.grid3D.query(p.minX-c,p.minY-c,p.maxX+c,p.maxY+c,(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 u=[new a(e,r),new a(e,i),new a(n,i),new a(n,r)];if(t.length>2)for(var c=0,f=u;c<f.length;c+=1)if(Mo(t,f[c]))return!0;for(var h=0;h<t.length-1;h++)if(So(t[h],t[h+1],u))return!0;return!1}(t.cameraQueryGeometry,e-c,r-c,n+c,i+c)}));d<v.length;d+=1){var g=v[d];h.push(g)}h.sort(Xc);for(var y,m={},x=function(a){var c=h[a];if(c!==y){y=c;var f=i.featureIndexArray.get(c),p=null;i.loadMatchingFeature(m,f.bucketIndex,f.sourceLayerIndex,f.featureIndex,l,o.layers,o.availableImages,e,r,n,(function(e,r,n){return p||(p=po(e)),r.queryIntersectsFeature(u,e,n,p,i.z,t.transform,s,t.pixelPosMatrix)}))}},b=0;b<h.length;b++)x(b);return m},Zc.prototype.loadMatchingFeature=function(t,e,r,n,i,a,o,s,l,u,c){var f=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,f)){var h=this.sourceLayerCoder.decode(r),p=this.vtLayers[h].feature(n);if(i.filter(new Pi(this.tileID.overscaledZ),p))for(var d=this.getId(p,h),v=0;v<f.length;v++){var g=f[v];if(!(a&&a.indexOf(g)<0)){var y=s[g];if(y){var m={};void 0!==d&&u&&(m=u.getState(y.sourceLayer||\"_geojsonTileLayer\",d));var x=l[g];x.paint=Yc(x.paint,y.paint,p,m,o),x.layout=Yc(x.layout,y.layout,p,m,o);var b=!c||c(p,y,m);if(b){var _=new Hc(p,this.z,this.x,this.y,d);_.layer=x;var w=t[g];void 0===w&&(w=t[g]=[]),w.push({featureIndex:n,feature:_,intersectionZ:b})}}}}}},Zc.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a,o,s){var l={};this.loadVTLayers();for(var u=wn(i),c=0,f=t;c<f.length;c+=1){var h=f[c];this.loadMatchingFeature(l,r,n,h,u,a,o,s,e)}return l},Zc.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},Zc.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},ni(\"FeatureIndex\",Zc,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});var Jc=function(t,e){this.tileID=t,this.uid=p(),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\"};Jc.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<F.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},Jc.prototype.wasRequested=function(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state},Jc.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 sc){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 sc&&o.hasRTLText){this.hasRTLText=!0,Ci.isLoading()||Ci.isLoaded()||\"deferred\"!==Ei()||Li();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 wa},Jc.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\"},Jc.prototype.getBucket=function(t){return this.buckets[t.id]},Jc.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 Tc(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Tc(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},Jc.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},Jc.prototype.queryRenderedFeatures=function(t,e,r,n,i,a,o,s,l,u){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:u,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},Jc.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=wn(e&&e.filter),s=this.tileID.canonical,l=s.z,u=s.x,c=s.y,f={z:l,x:u,y:c},h=0;h<a.length;h++){var p=a.feature(h);if(o.filter(new Pi(this.tileID.overscaledZ),p)){var d=r.getId(p,i),v=new Hc(p,l,u,c,d);v.tile=f,t.push(v)}}}},Jc.prototype.hasData=function(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state},Jc.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},Jc.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=M(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}},Jc.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)},Jc.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)))}}}},Jc.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},Jc.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<F.now()},Jc.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},Jc.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=F.now()+t},Jc.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},Jc.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 Kc=self.performance,$c=function(t){this._marks={start:[t.url,\"start\"].join(\"#\"),end:[t.url,\"end\"].join(\"#\"),measure:t.url.toString()},Kc.mark(this._marks.start)};$c.prototype.finish=function(){Kc.mark(this._marks.end);var t=Kc.getEntriesByName(this._marks.measure);return 0===t.length&&(Kc.measure(this._marks.measure,this._marks.start,this._marks.end),t=Kc.getEntriesByName(this._marks.measure),Kc.clearMarks(this._marks.start),Kc.clearMarks(this._marks.end),Kc.clearMeasures(this._marks.measure)),t},t.Actor=Ac,t.AlphaImage=Yo,t.CanonicalTileID=Fc,t.CollisionBoxArray=wa,t.Color=oe,t.DEMData=Uc,t.DataConstantProperty=ji,t.DictionaryCoder=Vc,t.EXTENT=co,t.ErrorEvent=Ot,t.EvaluationParameters=Pi,t.Event=Pt,t.Evented=It,t.FeatureIndex=Zc,t.FillBucket=Fs,t.FillExtrusionBucket=tl,t.ImageAtlas=ru,t.ImagePosition=tu,t.LineBucket=cl,t.LngLat=Lc,t.LngLatBounds=Sc,t.MercatorCoordinate=Rc,t.ONE_EM=kl,t.OverscaledTileID=Nc,t.Point=a,t.Point$1=a,t.Properties=Gi,t.Protobuf=Sl,t.RGBAImage=Wo,t.RequestManager=q,t.RequestPerformance=$c,t.ResourceType=xt,t.SegmentVector=Oa,t.SourceFeatureState=Gc,t.StructArrayLayout1ui2=ma,t.StructArrayLayout2f1f2i16=ua,t.StructArrayLayout2i4=Qi,t.StructArrayLayout3ui6=fa,t.StructArrayLayout4i8=ta,t.SymbolBucket=sc,t.Texture=Tc,t.Tile=Jc,t.Transitionable=Di,t.Uniform1f=Ya,t.Uniform1i=Za,t.Uniform2f=Wa,t.Uniform3f=Xa,t.Uniform4f=Ja,t.UniformColor=Ka,t.UniformMatrix4f=Qa,t.UnwrappedTileID=Bc,t.ValidationError=zt,t.WritingMode=nu,t.ZoomHistory=ui,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=nc,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=s,t.bindAll=g,t.browser=F,t.cacheEntryPossiblyAdded=function(t){++yt>ct&&(t.getActor().send(\"enforceCacheSizeLimit\",ut),yt=0)},t.clamp=u,t.clearTileCache=function(t){var e=self.caches.delete(lt);t&&e.catch(t).then((function(){return t()}))},t.clipLine=Ou,t.clone=function(t){var e=new Io(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=b,t.clone$2=function(t){var e=new Io(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=_l,t.config=B,t.create=function(){var t=new Io(16);return Io!=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 Io(9);return Io!=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 Io(4);return Io!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t},t.createCommonjsModule=e,t.createExpression=ln,t.createLayout=Ki,t.createStyleLayer=function(t){return\"custom\"===t.type?new gc(t):new yc[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 e===r},t.dot=function(t,e){return t[0]*e[0]+t[1]*e[1]+t[2]*e[2]},t.dot$1=function(t,e){return t[0]*e[0]+t[1]*e[1]+t[2]*e[2]+t[3]*e[3]},t.ease=l,t.emitValidationErrors=Jn,t.endsWith=y,t.enforceCacheSizeLimit=function(t){ht(),tt&&tt.then((function(e){e.keys().then((function(r){for(var n=0;n<r.length-t;n++)e.delete(r[n])}))}))},t.evaluateSizeForFeature=wu,t.evaluateSizeForZoom=Tu,t.evaluateVariableOffset=Yu,t.evented=Si,t.extend=f,t.featureFilter=wn,t.filterObject=x,t.fromRotation=function(t,e){var r=Math.sin(e),n=Math.cos(e);return 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,t},t.getAnchorAlignment=gu,t.getAnchorJustification=Wu,t.getArrayBuffer=kt,t.getImage=Et,t.getJSON=function(t,e){return Tt(f(t,{type:\"json\"}),e)},t.getRTLTextPluginStatus=Ei,t.getReferrer=_t,t.getVideo=function(t,e){var r,n,i=self.document.createElement(\"video\");i.muted=!0,i.onloadstart=function(){e(null,i)};for(var a=0;a<t.length;a++){var 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c={},e.tags)c[f]=e.tags[f];c.mapbox_clip_start=i.start/i.size,c.mapbox_clip_end=i.end/i.size}var h={geometry:o,type:\"Polygon\"===a||\"MultiPolygon\"===a?3:\"LineString\"===a||\"MultiLineString\"===a?2:1,tags:c};null!==e.id&&(h.id=e.id),t.features.push(h)}}function wt(t,e,r,n,i,a){var o=n*n;if(n>0&&e.size<(i?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;l<e.length;l+=3)(0===n||e[l+2]>o)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;i&&function(t,e){for(var r=0,n=0,i=t.length,a=i-2;n<i;a=n,n+=2)r+=(t[n]-t[a])*(t[n+1]+t[a+1]);if(r>0===e)for(n=0,i=t.length;n<i/2;n+=2){var o=t[n],s=t[n+1];t[n]=t[i-2-n],t[n+1]=t[i-1-n],t[i-2-n]=o,t[i-1-n]=s}}(s,a),t.push(s)}}function Tt(t,e){var r=(e=this.options=function(t,e){for(var r in e)t[r]=e[r];return t}(Object.create(this.options),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.\");var n=function(t,e){var r=[];if(\"FeatureCollection\"===t.type)for(var n=0;n<t.features.length;n++)rt(r,t.features[n],e,n);else\"Feature\"===t.type?rt(r,t,e):rt(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){var r=e.buffer/e.extent,n=t,i=lt(t,1,-1-r,r,0,-1,2,e),a=lt(t,1,1-r,2+r,0,-1,2,e);return(i||a)&&(n=lt(t,1,-r,1+r,0,-1,2,e)||[],i&&(n=gt(i,1).concat(n)),a&&(n=n.concat(gt(a,-1)))),n}(n,e)).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)))}function kt(t,e,r){return 32*((1<<t)*r+e)+t}function At(t,e){var 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=_(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(q(t[l],l));this.trees[i+1]=new j(s,J,K,a,Float32Array),r&&console.timeEnd(o);for(var u=i;u>=n;u--){var c=+Date.now();s=this._cluster(s,u),this.trees[u]=new j(s,J,K,a,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",u,s.length,+Date.now()-c)}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)],u=[],c=0,f=l.range(Y(r),W(a),Y(i),W(n));c<f.length;c+=1){var h=f[c],p=l.points[h];u.push(p.numPoints?G(p):this.points[p.index])}return u},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,u=i.within(a.x,a.y,o);l<u.length;l+=1){var c=u[l],f=i.points[c];f.parentId===t&&s.push(f.numPoints?G(f):this.points[f.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,u=(r+1+s)/i,c={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,u),n.points,e,r,i,c),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,u),n.points,i,r,i,c),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,u),n.points,-1,r,i,c),c.features.length?c: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]],u=l.numPoints,c={type:1,geometry:[[Math.round(this.options.extent*(l.x*i-r)),Math.round(this.options.extent*(l.y*i-n))]],tags:u?Z(l):this.points[l.index].properties},f=void 0;u?f=l.id:this.options.generateId?f=l.index:this.points[l.index].id&&(f=this.points[l.index].id),void 0!==f&&(c.id=f),a.features.push(c)}},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=i/(a*Math.pow(2,e)),l=0;l<t.length;l++){var u=t[l];if(!(u.zoom<=e)){u.zoom=e;for(var c=this.trees[e+1],f=c.within(u.x,u.y,s),h=u.numPoints||1,p=u.x*h,d=u.y*h,v=o&&h>1?this._map(u,!0):null,g=(l<<5)+(e+1)+this.points.length,y=0,m=f;y<m.length;y+=1){var x=m[y],b=c.points[x];if(!(b.zoom<=e)){b.zoom=e;var _=b.numPoints||1;p+=b.x*_,d+=b.y*_,h+=_,b.parentId=g,o&&(v||(v=this._map(u,!0)),o(v,this._map(b)))}}1===h?r.push(u):(u.parentId=g,r.push(H(p/h,d/h,g,h,v)))}}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,u=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var c=1<<e,f=kt(e,r,n),h=this.tiles[f];if(!h&&(u>1&&console.time(\"creation\"),h=this.tiles[f]=bt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),u)){u>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd(\"creation\"));var p=\"z\"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.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||h.numPoints<=l.indexMaxPoints)continue;if(h.source=null,0!==t.length){u>1&&console.time(\"clipping\");var v,g,y,m,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;v=g=y=m=null,x=lt(t,c,r-_,r+T,0,h.minX,h.maxX,l),b=lt(t,c,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(v=lt(x,c,n-_,n+T,1,h.minY,h.maxY,l),g=lt(x,c,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(y=lt(b,c,n-_,n+T,1,h.minY,h.maxY,l),m=lt(b,c,n+w,n+k,1,h.minY,h.maxY,l),b=null),u>1&&console.timeEnd(\"clipping\"),s.push(v||[],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(m||[],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 mt(this.tiles[s],i);a>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var l,u=t,c=e,f=r;!l&&u>0;)u--,c=Math.floor(c/2),f=Math.floor(f/2),l=this.tiles[kt(u,c,f)];return l&&l.source?(a>1&&console.log(\"found parent tile z%d-%d-%d\",u,c,f),a>1&&console.time(\"drilling down\"),this.splitTile(l.source,u,c,f,t,e,r),a>1&&console.timeEnd(\"drilling down\"),this.tiles[s]?mt(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 object.\"));f(o,!0);try{e._geoJSONIndex=n.cluster?new V(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),u=0,c=l;u<c.length;u+=1){var f=c[u],h=n[f],p=h[0],d=h[1],v=t.createExpression(d),g=t.createExpression(\"string\"==typeof p?[p,[\"accumulated\"],[\"get\",f]]:p);i[f]=v.value,a[f]=g.value}return r.map=function(t){s.properties=t;for(var e={},r=0,n=l;r<n.length;r+=1){var a=n[r];e[a]=i[a].evaluate(o,s)}return e},r.reduce=function(t,e){s.properties=e;for(var r=0,n=l;r<n.length;r+=1){var 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 s={};if(i){var l=i.finish();l&&(s.resourceTiming={},s.resourceTiming[n.source]=JSON.parse(JSON.stringify(l)))}r(null,s)}))}},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 registered.\");t.plugin.applyArabicShaping=e.applyArabicShaping,t.plugin.processBidirectionalText=e.processBidirectionalText,t.plugin.processStyledBidirectionalText=e.processStyledBidirectionalText}};return St.prototype.setReferrer=function(t,e){this.referrer=e},St.prototype.setImages=function(t,e,r){for(var n in this.availableImages[t]=e,this.workerSources[t]){var i=this.workerSources[t][n];for(var a in i)i[a].availableImages=e}r()},St.prototype.setLayers=function(t,e,r){this.getLayerIndex(t).replace(e),r()},St.prototype.updateLayers=function(t,e,r){this.getLayerIndex(t).update(e.layers,e.removedIds),r()},St.prototype.loadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).loadTile(e,r)},St.prototype.loadDEMTile=function(t,e,r){this.getDEMWorkerSource(t,e.source).loadTile(e,r)},St.prototype.reloadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).reloadTile(e,r)},St.prototype.abortTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).abortTile(e,r)},St.prototype.removeTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).removeTile(e,r)},St.prototype.removeDEMTile=function(t,e){this.getDEMWorkerSource(t,e.source).removeTile(e)},St.prototype.removeSource=function(t,e,r){if(this.workerSources[t]&&this.workerSources[t][e.type]&&this.workerSources[t][e.type][e.source]){var n=this.workerSources[t][e.type][e.source];delete this.workerSources[t][e.type][e.source],void 0!==n.removeSource?n.removeSource(e,r):r()}},St.prototype.loadWorkerSource=function(t,e,r){try{this.self.importScripts(e.url),r()}catch(t){r(t.toString())}},St.prototype.syncRTLPluginState=function(e,r,n){try{t.plugin.setState(r);var i=t.plugin.getPluginURL();if(t.plugin.isLoaded()&&!t.plugin.isParsed()&&null!=i){this.self.importScripts(i);var a=t.plugin.isParsed();n(a?void 0:new Error(\"RTL Text Plugin failed to import scripts from \"+i),a)}}catch(t){n(t.toString())}},St.prototype.getAvailableImages=function(t){var e=this.availableImages[t];return e||(e=[]),e},St.prototype.getLayerIndex=function(t){var e=this.layerIndexes[t];return e||(e=this.layerIndexes[t]=new n),e},St.prototype.getWorkerSource=function(t,e,r){var n=this;if(this.workerSources[t]||(this.workerSources[t]={}),this.workerSources[t][e]||(this.workerSources[t][e]={}),!this.workerSources[t][e][r]){var i={send:function(e,r,i){n.actor.send(e,r,i,t)}};this.workerSources[t][e][r]=new this.workerSourceTypes[e](i,this.getLayerIndex(t),this.getAvailableImages(t))}return this.workerSources[t][e][r]},St.prototype.getDEMWorkerSource=function(t,e){return this.demWorkerSources[t]||(this.demWorkerSources[t]={}),this.demWorkerSources[t][e]||(this.demWorkerSources[t][e]=new c),this.demWorkerSources[t][e]},St.prototype.enforceCacheSizeLimit=function(e,r){t.enforceCacheSizeLimit(r)},\"undefined\"!=typeof WorkerGlobalScope&&void 0!==t.window&&t.window instanceof WorkerGlobalScope&&(t.window.worker=new St(t.window)),St})),n(0,(function(t){var e=t.createCommonjsModule((function(t){function e(t){return!r(t)}function r(t){return\"undefined\"!=typeof window&&\"undefined\"!=typeof 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t=document.createElement(\"canvas\");t.width=t.height=1;var e=t.getContext(\"2d\");if(!e)return!1;var r=e.getImageData(0,0,1,1);return r&&r.width===t.width}()?(r=t&&t.failIfMajorPerformanceCaveat,void 0===n[r]&&(n[r]=function(t){var r=function(t){var r=document.createElement(\"canvas\"),n=Object.create(e.webGLContextAttributes);return n.failIfMajorPerformanceCaveat=t,r.probablySupportsContext?r.probablySupportsContext(\"webgl\",n)||r.probablySupportsContext(\"experimental-webgl\",n):r.supportsContext?r.supportsContext(\"webgl\",n)||r.supportsContext(\"experimental-webgl\",n):r.getContext(\"webgl\",n)||r.getContext(\"experimental-webgl\",n)}(t);if(!r)return!1;var n=r.createShader(r.VERTEX_SHADER);return!(!n||r.isContextLost())&&(r.shaderSource(n,\"void main() {}\"),r.compileShader(n),!0===r.getShaderParameter(n,r.COMPILE_STATUS))}(r)),n[r]?void 0:\"insufficient WebGL support\"):\"insufficient Canvas/getImageData support\":\"insufficient ArrayBuffer support\":\"insufficient 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s=i([\"transform\",\"WebkitTransform\"]);r.setTransform=function(t,e){t.style[s]=e};var l=!1;try{var u=Object.defineProperty({},\"passive\",{get:function(){l=!0}});t.window.addEventListener(\"test\",u,u),t.window.removeEventListener(\"test\",u,u)}catch(t){l=!1}r.addEventListener=function(t,e,r,n){void 0===n&&(n={}),\"passive\"in n&&l?t.addEventListener(e,r,n):t.addEventListener(e,r,n.capture)},r.removeEventListener=function(t,e,r,n){void 0===n&&(n={}),\"passive\"in n&&l?t.removeEventListener(e,r,n):t.removeEventListener(e,r,n.capture)};var c=function(e){e.preventDefault(),e.stopPropagation(),t.window.removeEventListener(\"click\",c,!0)};function f(t){var e=t.userImage;return!!(e&&e.render&&e.render())&&(t.data.replace(new Uint8Array(e.data.buffer)),!0)}r.suppressClick=function(){t.window.addEventListener(\"click\",c,!0),t.window.setTimeout((function(){t.window.removeEventListener(\"click\",c,!0)}),0)},r.mousePos=function(e,r){var n=e.getBoundingClientRect();return new 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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 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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,u=l.x+1,c=l.y+1,f=this.images[s].data,h=f.width,p=f.height;t.RGBAImage.copy(f,o,{x:0,y:0},{x:u,y:c},{width:h,height:p}),t.RGBAImage.copy(f,o,{x:0,y:p-1},{x:u,y:c-1},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:u,y:c+p},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:h-1,y:0},{x:u-1,y:c},{width:1,height:p}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:u+h,y:c},{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];f(i)&&this.updateImage(n,i)}}},r}(t.Evented);var p=g,d=g,v=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(m(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(m(n,i,a,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(i[s])}}function m(t,e,r,n,i){r[0]=0,n[0]=-v,n[1]=+v;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]=+v}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?v:Math.pow(Math.max(0,.5-i),2),this.gridInner[n]=1===i?v: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,u=o.glyph;(n[s]||(n[s]={}))[l]=u&&{id:u.id,bitmap:u.bitmap.clone(),metrics:u.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 b=function(){this.specification=t.styleSpec.light.position};b.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},b.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 _=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new b,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(_),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 u=t[l];i=s*r,a=(s+=u)*r,n.push({left:i,right:a,isDash:o,zeroLength:0===u})}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],u=0;u<this.width;u++){u/l.right>1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=void 0,d=i/r*(n+1);if(l.isDash){var v=n-Math.abs(d);p=Math.sqrt(h*h+v*v)}else p=n-Math.sqrt(h*h+d*d);this.data[o+u]=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],u=0;u<this.width;u++){u/l.right>1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=l.isDash?h:-h;this.data[o+u]=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 u={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,u},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.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),L=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),C=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}(L),P=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,extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1,generateId:n.generateId||!1},clusterProperties:n.clusterProperties},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),O=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),I=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 u=i-r,c=a-n,f=Math.max(u,c),h=Math.max(0,Math.floor(-Math.log(f)/Math.LN2)),p=Math.pow(2,h);return new t.CanonicalTileID(h,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,O.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 D=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,O.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}(I),z=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,O.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}(I),R={vector:E,raster:L,\"raster-dem\":C,geojson:P,video:D,image:I,canvas:z};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 u=[],c=0,f=l;c<f.length;c+=1){var h=f[c];u.push({wrappedTileID:h.tileID.wrapped().key,queryResults:h.tile.queryRenderedFeatures(e,r,t._state,h.queryGeometry,h.cameraQueryGeometry,h.scale,i,a,s,F(t.transform,h.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 u in o)for(var c=o[u],f=l[u]=l[u]||{},h=e[u]=e[u]||[],p=0,d=c;p<d.length;p+=1){var v=d[p];f[v.featureIndex]||(f[v.featureIndex]=!0,h.push(v))}}return e}(u);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 0!==r&&(a.timeout=setTimeout((function(){n.remove(t,a)}),r)),this.data[i].push(a),this.order.push(i),this.order.length>this.max){var o=this._getAndRemoveByKey(this.order[0]);o&&this.onRemove(o)}return this},j.prototype.has=function(t){return t.wrapped().key in this.data},j.prototype.getAndRemove=function(t){return this.has(t)?this._getAndRemoveByKey(t.wrapped().key):null},j.prototype._getAndRemoveByKey=function(t){var 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},j.prototype.getByKey=function(t){var e=this.data[t];return e?e[0].value:null},j.prototype.get=function(t){return this.has(t)?this.data[t.wrapped().key][0].value:null},j.prototype.remove=function(t,e){if(!this.has(t))return this;var 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},j.prototype.setMaxSize=function(t){for(this.max=t;this.order.length>this.max;){var e=this._getAndRemoveByKey(this.order[0]);e&&this.onRemove(e)}return this},j.prototype.filter=function(t){var e=[];for(var r in this.data)for(var n=0,i=this.data[r];n<i.length;n+=1){var a=i[n];t(a.value)||e.push(a)}for(var o=0,s=e;o<s.length;o+=1){var l=s[o];this.remove(l.value.tileID,l)}};var U=function(t,e,r){this.context=t;var 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};U.prototype.bind=function(){this.context.bindElementBuffer.set(this.buffer)},U.prototype.updateData=function(t){var e=this.context.gl;this.context.unbindVAO(),this.bind(),e.bufferSubData(e.ELEMENT_ARRAY_BUFFER,0,t.arrayBuffer)},U.prototype.destroy=function(){var t=this.context.gl;this.buffer&&(t.deleteBuffer(this.buffer),delete this.buffer)};var V={Int8:\"BYTE\",Uint8:\"UNSIGNED_BYTE\",Int16:\"SHORT\",Uint16:\"UNSIGNED_SHORT\",Int32:\"INT\",Uint32:\"UNSIGNED_INT\",Float32:\"FLOAT\"},H=function(t,e,r,n){this.length=e.length,this.attributes=r,this.itemSize=e.bytesPerElement,this.dynamicDraw=n,this.context=t;var 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};H.prototype.bind=function(){this.context.bindVertexBuffer.set(this.buffer)},H.prototype.updateData=function(t){var e=this.context.gl;this.bind(),e.bufferSubData(e.ARRAY_BUFFER,0,t.arrayBuffer)},H.prototype.enableAttributes=function(t,e){for(var r=0;r<this.attributes.length;r++){var n=this.attributes[r],i=e.attributes[n.name];void 0!==i&&t.enableVertexAttribArray(i)}},H.prototype.setVertexAttribPointers=function(t,e,r){for(var n=0;n<this.attributes.length;n++){var i=this.attributes[n],a=e.attributes[i.name];void 0!==a&&t.vertexAttribPointer(a,i.components,t[V[i.type]],!1,this.itemSize,i.offset+this.itemSize*(r||0))}},H.prototype.destroy=function(){var t=this.context.gl;this.buffer&&(t.deleteBuffer(this.buffer),delete this.buffer)};var q=function(t){this.gl=t.gl,this.default=this.getDefault(),this.current=this.default,this.dirty=!1};q.prototype.get=function(){return this.current},q.prototype.set=function(t){},q.prototype.getDefault=function(){return this.default},q.prototype.setDefault=function(){this.set(this.default)};var G=function(e){function r(){e.apply(this,arguments)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getDefault=function(){return t.Color.transparent},r.prototype.set=function(t){var 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)},r}(q),Z=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.getDefault=function(){return 1},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.clearDepth(t),this.current=t,this.dirty=!1)},e}(q),Y=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.getDefault=function(){return 0},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.clearStencil(t),this.current=t,this.dirty=!1)},e}(q),W=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.getDefault=function(){return[!0,!0,!0,!0]},e.prototype.set=function(t){var 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)},e}(q),X=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.getDefault=function(){return!0},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.depthMask(t),this.current=t,this.dirty=!1)},e}(q),J=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.getDefault=function(){return 255},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.stencilMask(t),this.current=t,this.dirty=!1)},e}(q),K=function(t){function e(){t.apply(this,arguments)}return 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t=this.gl;return[t.ONE,t.ZERO]},e.prototype.set=function(t){var 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)},e}(q),at=function(e){function r(){e.apply(this,arguments)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getDefault=function(){return t.Color.transparent},r.prototype.set=function(t){var 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)},r}(q),ot=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.getDefault=function(){return this.gl.FUNC_ADD},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.blendEquation(t),this.current=t,this.dirty=!1)},e}(q),st=function(t){function e(){t.apply(this,arguments)}return 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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)},e}(q),pt=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.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindFramebuffer(e.FRAMEBUFFER,t),this.current=t,this.dirty=!1}},e}(q),dt=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.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindRenderbuffer(e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(q),vt=function(t){function e(){t.apply(this,arguments)}return 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e(e){t.call(this,e),this.vao=e.extVertexArrayObject}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){this.vao&&(t!==this.current||this.dirty)&&(this.vao.bindVertexArrayOES(t),this.current=t,this.dirty=!1)},e}(q),xt=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.getDefault=function(){return 4},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_ALIGNMENT,t),this.current=t,this.dirty=!1}},e}(q),bt=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.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_PREMULTIPLY_ALPHA_WEBGL,t),this.current=t,this.dirty=!1}},e}(q),_t=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.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_FLIP_Y_WEBGL,t),this.current=t,this.dirty=!1}},e}(q),wt=function(t){function e(e,r){t.call(this,e),this.context=e,this.parent=r}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e}(q),Tt=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.setDirty=function(){this.dirty=!0},e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0),this.current=t,this.dirty=!1}},e}(wt),kt=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.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferRenderbuffer(e.FRAMEBUFFER,e.DEPTH_ATTACHMENT,e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(wt),At=function(t,e,r,n){this.context=t,this.width=e,this.height=r;var i=t.gl,a=this.framebuffer=i.createFramebuffer();this.colorAttachment=new Tt(t,a),n&&(this.depthAttachment=new kt(t,a))};At.prototype.destroy=function(){var t=this.context.gl,e=this.colorAttachment.get();if(e&&t.deleteTexture(e),this.depthAttachment){var r=this.depthAttachment.get();r&&t.deleteRenderbuffer(r)}t.deleteFramebuffer(this.framebuffer)};var 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 Lt=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};Lt.Replace=[1,0],Lt.disabled=new Lt(Lt.Replace,t.Color.transparent,[!1,!1,!1,!1]),Lt.unblended=new Lt(Lt.Replace,t.Color.transparent,[!0,!0,!0,!0]),Lt.alphaBlended=new Lt([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Ct=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Ct.disabled=new Ct(!1,1029,2305),Ct.backCCW=new Ct(!0,1029,2305);var Pt=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 Y(this),this.colorMask=new W(this),this.depthMask=new X(this),this.stencilMask=new J(this),this.stencilFunc=new K(this),this.stencilOp=new $(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 ut(this),this.program=new ct(this),this.activeTexture=new ft(this),this.viewport=new ht(this),this.bindFramebuffer=new pt(this),this.bindRenderbuffer=new dt(this),this.bindTexture=new vt(this),this.bindVertexBuffer=new gt(this),this.bindElementBuffer=new yt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new mt(this),this.pixelStoreUnpack=new xt(this),this.pixelStoreUnpackPremultiplyAlpha=new bt(this),this.pixelStoreUnpackFlipY=new _t(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\")};Pt.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()},Pt.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},Pt.prototype.createIndexBuffer=function(t,e){return new U(this,t,e)},Pt.prototype.createVertexBuffer=function(t,e,r){return new H(this,t,e,r)},Pt.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},Pt.prototype.createFramebuffer=function(t,e,r){return new At(this,t,e,r)},Pt.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)},Pt.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))},Pt.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)},Pt.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)},Pt.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,Lt.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Pt.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Ot=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(It).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(It).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(Dt(this._source.type)){for(var u={},c={},f=0,h=Object.keys(l);f<h.length;f+=1){var p=h[f],d=l[p],v=this._tiles[p];if(v&&!(v.fadeEndTime&&v.fadeEndTime<=t.browser.now())){var g=this.findLoadedParent(d,o);g&&(this._addTile(g.tileID),u[g.tileID.key]=g.tileID),c[p]=d}}for(var y in this._retainLoadedChildren(c,a,s,l),u)l[y]||(this._coveredTiles[y]=!0,l[y]=u[y])}for(var m in l)this._tiles[m].clearFadeHold();for(var x=0,b=t.keysDifference(this._tiles,l);x<b.length;x+=1){var _=b[x],w=this._tiles[_];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(_)}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,u=t;l<u.length;l+=1){var c=u[l],f=this._addTile(c);n[c.key]=c,f.hasData()||e<this._source.maxzoom&&(s[c.key]=c)}this._retainLoadedChildren(s,e,o,n);for(var h=0,p=t;h<p.length;h+=1){var d=p[h],v=this._tiles[d.key];if(!v.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 m=d.children(this._source.maxzoom);if(n[m[0].key]&&n[m[1].key]&&n[m[2].key]&&n[m[3].key])continue}for(var x=v.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(v=this.getTile(_))&&x&&(v=this._addTile(_)),v&&(n[_.key]=_,x=v.wasRequested(),v.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)})),u=s.map((function(t){return o.pointCoordinate(t)})),c=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,v=0,g=u;v<g.length;v+=1){var y=g[v];f=Math.min(f,y.x),h=Math.min(h,y.y),p=Math.max(p,y.x),d=Math.max(d,y.y)}for(var m=function(e){var n=i._tiles[c[e]];if(!n.holdingForFade()){var s=n.tileID,v=Math.pow(2,o.zoom-n.tileID.overscaledZ),g=r*n.queryPadding*t.EXTENT/n.tileSize/v,y=[s.getTilePoint(new t.MercatorCoordinate(f,h)),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 m=l.map((function(t){return s.getTilePoint(t)})),x=u.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:m,cameraQueryGeometry:x,scale:v})}}},x=0;x<c.length;x++)m(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(Dt(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 It(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 Dt(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function zt(){return new t.window.Worker(na.workerUrl)}Ot.maxOverzooming=10,Ot.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 zt);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 Ht={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 qt(t,e,r){r.push({command:Ht.addSource,args:[t,e[t]]})}function Gt(t,e,r){e.push({command:Ht.removeSource,args:[t]}),r[t]=!0}function Zt(t,e,r,n){Gt(t,r,n),qt(t,e,r)}function Yt(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 Wt(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 Jt(t,e){return t[e.id]=e,t}function Kt(e,r){if(!e)return[{command:Ht.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:Ht.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:Ht.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:Ht.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:Ht.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:Ht.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:Ht.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:Ht.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:Ht.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:Ht.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&&Yt(e,r,a)?n.push({command:Ht.setGeoJSONSourceData,args:[a,r[a].data]}):Zt(a,r,n,i)):qt(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach((function(t){i[t.source]?n.push({command:Ht.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(a),function(e,r,n){r=r||[];var i,a,o,s,l,u,c,f=(e=e||[]).map(Xt),h=r.map(Xt),p=e.reduce(Jt,{}),d=r.reduce(Jt,{}),v=f.slice(),g=Object.create(null);for(i=0,a=0;i<f.length;i++)o=f[i],d.hasOwnProperty(o)?a++:(n.push({command:Ht.removeLayer,args:[o]}),v.splice(v.indexOf(o,a),1));for(i=0,a=0;i<h.length;i++)o=h[h.length-1-i],v[v.length-1-i]!==o&&(p.hasOwnProperty(o)?(n.push({command:Ht.removeLayer,args:[o]}),v.splice(v.lastIndexOf(o,v.length-a),1)):a++,u=v[v.length-i],n.push({command:Ht.addLayer,args:[d[o],u]}),v.splice(v.length-i,0,o),g[o]=!0);for(i=0;i<h.length;i++)if(s=p[o=h[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(c in Wt(s.layout,l.layout,n,o,null,Ht.setLayoutProperty),Wt(s.paint,l.paint,n,o,null,Ht.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:Ht.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:Ht.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(c)&&\"layout\"!==c&&\"paint\"!==c&&\"filter\"!==c&&\"metadata\"!==c&&\"minzoom\"!==c&&\"maxzoom\"!==c&&(0===c.indexOf(\"paint.\")?Wt(s[c],l[c],n,o,c.slice(6),Ht.setPaintProperty):t.deepEqual(s[c],l[c])||n.push({command:Ht.setLayerProperty,args:[o,c,l[c]]}));for(c in l)l.hasOwnProperty(c)&&!s.hasOwnProperty(c)&&\"layout\"!==c&&\"paint\"!==c&&\"filter\"!==c&&\"metadata\"!==c&&\"minzoom\"!==c&&\"maxzoom\"!==c&&(0===c.indexOf(\"paint.\")?Wt(s[c],l[c],n,o,c.slice(6),Ht.setPaintProperty):t.deepEqual(s[c],l[c])||n.push({command:Ht.setLayerProperty,args:[o,c,l[c]]}))}else n.push({command:Ht.removeLayer,args:[o]}),u=v[v.lastIndexOf(o)+1],n.push({command:Ht.addLayer,args:[l,u]})}(o,r.layers,n)}catch(t){console.warn(\"Unable to compute style diff:\",t),n=[{command:Ht.setStyle,args:[r]}]}return n}var $t=function(t,e){this.reset(t,e)};$t.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},$t.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 u=i?e.textSizeData:e.iconSizeData,c=t.evaluateSizeForZoom(u,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,v=n.transform.width/n.transform.height,g=!1,y=0;y<d.length;y++){var m=d.get(y);if(m.hidden||m.writingMode===t.WritingMode.vertical&&!g)he(m.numGlyphs,h);else{g=!1;var x=[m.anchorX,m.anchorY,0,1];if(t.transformMat4(x,x,r),ie(x,f)){var b=x[3],_=ne(n.transform.cameraToCenterDistance,b),w=t.evaluateSizeForFeature(u,c,m),T=s?w/_:w*_,k=new t.Point(m.anchorX,m.anchorY),A=re(k,a).point,M={},S=le(m,T,!1,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,v);g=S.useVertical,(S.notEnoughRoom||g||S.needsFlipping&&le(m,T,!0,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,v).notEnoughRoom)&&he(m.numGlyphs,h)}else he(m.numGlyphs,h)}}i?e.text.dynamicLayoutVertexBuffer.updateData(h):e.icon.dynamicLayoutVertexBuffer.updateData(h)}function oe(t,e,r,n,i,a,o,s,l,u,c){var f=s.glyphStartIndex+s.numGlyphs,h=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),v=e.getoffsetX(f-1),g=ce(t*d,r,n,i,a,o,s.segment,h,p,l,u,c);if(!g)return null;var y=ce(t*v,r,n,i,a,o,s.segment,h,p,l,u,c);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,u,c,f,h,p,d){var v,g=r/24,y=e.lineOffsetX*g,m=e.lineOffsetY*g;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=oe(g,l,y,m,n,f,h,e,u,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}v=[w.first];for(var M=e.glyphStartIndex+1;M<x-1;M++)v.push(ce(g*l.getoffsetX(M),y,m,n,f,h,e.segment,b,_,u,o,p));v.push(w.last)}else{if(i&&!n){var S=re(h,a).point,E=e.lineStartIndex+e.segment+1,L=new t.Point(u.getx(E),u.gety(E)),C=re(L,a),P=C.signedDistanceFromCamera>0?C.point:ue(h,L,S,1,a),O=se(e.writingMode,S,P,d);if(O)return O}var I=ce(g*l.getoffsetX(e.glyphStartIndex),y,m,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,u,o,p);if(!I)return{notEnoughRoom:!0};v=[I]}for(var D=0,z=v;D<z.length;D+=1){var R=z[D];t.addDynamicAttributes(c,R.point,R.angle)}return{}}function ue(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 ce(e,r,n,i,a,o,s,l,u,c,f,h){var p=i?e-r:e+r,d=p>0?1:-1,v=0;i&&(d*=-1,v=Math.PI),d<0&&(v+=Math.PI);for(var g=d>0?l+s:l+s+1,y=a,m=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((g+=d)<l||g>=u)return null;if(m=y,w.push(y),void 0===(y=h[g])){var T=new t.Point(c.getx(g),c.gety(g)),k=re(T,f);if(k.signedDistanceFromCamera>0)y=h[g]=k.point;else{var A=g-d;y=ue(0===x?o:new t.Point(c.getx(A),c.gety(A)),T,m,_-x+1,f)}}x+=b,b=m.dist(y)}var M=(_-x)/b,S=y.sub(m),E=S.mult(M)._add(m);E._add(S._unit()._perp()._mult(n*d));var L=v+Math.atan2(y.y-m.y,y.x-m.x);return w.push(E),{point:E,angle:L,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 u=this.circles[3*l],c=this.circles[3*l+1],f=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:u-f,y1:c-f,x2:u+f,y2:c+f})}return a?o.filter(a):o}var h={hitTest:i,seenUids:{box:{},circle:{}}};return this._forEachCell(t,e,r,n,this._queryCell,o,h,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 u=[],c={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,u,c,i),n?u.length>0:u},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,u=this.boxCells[i];if(null!==u)for(var c=this.bboxes,f=0,h=u;f<h.length;f+=1){var p=h[f];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=c[d+2]&&e<=c[d+3]&&r>=c[d+0]&&n>=c[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:c[d],y1:c[d+1],x2:c[d+2],y2:c[d+3]})}}}var v=this.circleCells[i];if(null!==v)for(var g=this.circles,y=0,m=v;y<m.length;y+=1){var x=m[y];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(g[b],g[b+1],g[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return a.push(!0),!0;var _=g[b],w=g[b+1],T=g[b+2];a.push({key:this.circleKeys[x],x1:_-T,y1:w-T,x2:_+T,y2:w+T})}}}},Qt.prototype._queryCellCircle=function(t,e,r,n,i,a,o,s){var l=o.circle,u=o.seenUids,c=this.boxCells[i];if(null!==c)for(var f=this.bboxes,h=0,p=c;h<p.length;h+=1){var d=p[h];if(!u.box[d]){u.box[d]=!0;var v=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,f[v+0],f[v+1],f[v+2],f[v+3])&&(!s||s(this.boxKeys[d])))return a.push(!0),!0}}var g=this.circleCells[i];if(null!==g)for(var y=this.circles,m=0,x=g;m<x.length;m+=1){var b=x[m];if(!u.circle[b]){u.circle[b]=!0;var _=3*b;if(this._circlesCollide(y[_],y[_+1],y[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return a.push(!0),!0}}},Qt.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToXCellCoord(t),u=this._convertToYCellCoord(e),c=this._convertToXCellCoord(r),f=this._convertToYCellCoord(n),h=l;h<=c;h++)for(var p=u;p<=f;p++){var d=this.xCellCount*p+h;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 u=(o-i)/2,c=Math.abs(e-(i+u));if(c>u+r)return!1;if(l<=s||c<=u)return!0;var f=l-s,h=c-u;return f*f+h*h<=r*r};var fe=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function he(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(fe,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,ve=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)))}ve.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,u=t.x2*o+a.point.x,c=t.y2*o+a.point.y;return!this.isInsideGrid(s,l,u,c)||!e&&this.grid.hitTest(s,l,u,c,i)?{box:[],offscreen:!1}:{box:[s,l,u,c],offscreen:this.isOffscreen(s,l,u,c)}},ve.prototype.placeCollisionCircles=function(e,r,n,i,a,o,s,l,u,c,f,h,p){var d=[],v=new t.Point(r.anchorX,r.anchorY),g=re(v,o),y=ne(this.transform.cameraToCenterDistance,g.signedDistanceFromCamera),m=(c?a/y:a*y)/t.ONE_EM,x=re(v,s).point,b=oe(m,i,r.lineOffsetX*m,r.lineOffsetY*m,!1,x,v,r,n,s,{}),_=!1,w=!1,T=!0;if(b){for(var k=.5*h*y+p,A=new t.Point(-100,-100),M=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new $t,E=b.first,L=b.last,C=[],P=E.path.length-1;P>=1;P--)C.push(E.path[P]);for(var O=1;O<L.path.length;O++)C.push(L.path[O]);var I=2.5*k;if(l){var D=C.map((function(t){return re(t,l)}));C=D.some((function(t){return t.signedDistanceFromCamera<=0}))?[]:D.map((function(t){return t.point}))}var z=[];if(C.length>0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B<C.length;B++)R.x=Math.min(R.x,C[B].x),R.y=Math.min(R.y,C[B].y),F.x=Math.max(F.x,C[B].x),F.y=Math.max(F.y,C[B].y);z=R.x>=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[C]:F.x<A.x||R.x>M.x||F.y<A.y||R.y>M.y?[]:t.clipLine([C],A.x,A.y,M.x,M.y)}for(var N=0,j=z;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/I)+1;for(var H=0;H<V;H++){var q=H/Math.max(V-1,1),G=S.lerp(q),Z=G.x+de,Y=G.y+de;d.push(Z,Y,k,0);var W=Z-k,X=Y-k,J=Z+k,K=Y+k;if(T=T&&this.isOffscreen(W,X,J,K),w=w||this.isInsideGrid(W,X,J,K),!e&&this.grid.hitTestCircle(Z,Y,k,f)&&(_=!0,!u))return{circles:[],offscreen:!1,collisionDetected:_}}}}return{circles:!u&&_||!w?[]:d,offscreen:T,collisionDetected:_}},ve.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 u=l[s],c=new t.Point(u.x+de,u.y+de);n=Math.min(n,c.x),i=Math.min(i,c.y),a=Math.max(a,c.x),o=Math.max(o,c.y),r.push(c)}for(var f={},h={},p=0,d=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o));p<d.length;p+=1){var v=d[p],g=v.key;if(void 0===f[g.bucketInstanceId]&&(f[g.bucketInstanceId]={}),!f[g.bucketInstanceId][g.featureIndex]){var y=[new t.Point(v.x1,v.y1),new t.Point(v.x2,v.y1),new t.Point(v.x2,v.y2),new t.Point(v.x1,v.y2)];t.polygonIntersectsPolygon(r,y)&&(f[g.bucketInstanceId][g.featureIndex]=!0,void 0===h[g.bucketInstanceId]&&(h[g.bucketInstanceId]=[]),h[g.bucketInstanceId].push(g.featureIndex))}}return h},ve.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])},ve.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])},ve.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}},ve.prototype.isOffscreen=function(t,e,r,n){return r<de||t>=this.screenRightBoundary||n<de||e>this.screenBottomBoundary},ve.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},ve.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 me=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)};me.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},be=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},_e=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,u=t.evaluateVariableOffset(e,i);return new t.Point(s+u[0]*a,l+u[1]*a)}function ke(e,r,n,i,a,o){var s=e.x1,l=e.x2,u=e.y1,c=e.y2,f=e.anchorPointX,h=e.anchorPointY,p=new t.Point(r,n);return i&&p._rotate(a?o:-o),{x1:s+p.x,y1:u+p.y,x2:l+p.x,y2:c+p.y,anchorPointX:f,anchorPointY:h}}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 ve(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,u=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),c=n.tileSize/t.EXTENT,f=this.transform.calculatePosMatrix(n.tileID.toUnwrapped()),h=\"map\"===l.get(\"text-pitch-alignment\"),p=\"map\"===l.get(\"text-rotation-alignment\"),d=ge(n,1,this.transform.zoom),v=te(f,h,p,this.transform,d),g=null;if(h){var y=ee(f,h,p,this.transform,d);g=t.multiply([],this.transform.labelPlaneMatrix,y)}this.retainedQueryData[a.bucketInstanceId]=new _e(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);var m={bucket:a,layout:l,posMatrix:f,textLabelPlaneMatrix:v,labelToScreenMatrix:g,scale:u,textPixelRatio:c,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,b=a.sortKeyRanges;x<b.length;x+=1){var _=b[x],w=_.sortKey,T=_.symbolInstanceStart,k=_.symbolInstanceEnd;e.push({sortKey:w,symbolInstanceStart:T,symbolInstanceEnd:k,parameters:m})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:m})}},Ae.prototype.attemptAnchorPlacement=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=[f.textOffset0,f.textOffset1],y=Te(t,r,n,g,i),m=this.collisionIndex.placeCollisionBox(ke(e,y.x,y.y,a,o,this.transform.angle),c,s,l,u.predicate);if(!d||0!==this.collisionIndex.placeCollisionBox(ke(d,y.x,y.y,a,o,this.transform.angle),c,s,l,u.predicate).box.length)return m.box.length>0?(this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(v=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:g,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:v},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:y,placedGlyphBoxes:m}):void 0},Ae.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,u=a.textLabelPlaneMatrix,c=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,v=a.collisionGroup,g=s.get(\"text-optional\"),y=s.get(\"icon-optional\"),m=s.get(\"text-allow-overlap\"),x=s.get(\"icon-allow-overlap\"),b=\"map\"===s.get(\"text-rotation-alignment\"),_=\"map\"===s.get(\"text-pitch-alignment\"),w=\"none\"!==s.get(\"icon-text-fit\"),T=\"viewport-y\"===s.get(\"symbol-z-order\"),k=m&&(x||!o.hasIconData()||y),A=x&&(m||!o.hasTextData()||g);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new xe(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,L={box:null,offscreen:null},C={box:null,offscreen:null},P=null,O=null,I=0,D=0,z=0;a.textFeatureIndex?I=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(I=e.featureIndex),a.verticalTextFeatureIndex&&(D=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?(L=n(),C=L):L=r(),!(L&&L.box&&L.box.length));i+=1);else L=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,u=e.textBoxScale,c=w&&!x?r:null,h={box:[],offscreen:!1},p=m?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,u,b,_,f,l,v,y,e,o,n,c);if(k&&(h=k.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=k.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var H=i.prevPlacement.variableOffsets[e.crossTileID];H&&(i.variableOffsets[e.crossTileID]=H,i.markUsedJustification(o,H.anchor,e,V))}}else{var q=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,m,f,l,v.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return q(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?q(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&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),Y=s.get(\"text-padding\"),W=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(m,G,o.lineVertexArray,o.glyphOffsetArray,Z,l,u,c,n,_,v.predicate,W,Y),T=m||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(z=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,f,l,v.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(O=X(a.verticalIconBox)).box.length>0:(O=X(a.iconBox)).box.length>0,S=S&&O.offscreen}var J=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,K=y||0===e.numIconVertices;if(J||K?K?J||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(C&&C.box&&D?i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,D,v.ID):i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,I,v.ID)),M&&O&&i.collisionIndex.insertCollisionBox(O.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,z,v.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get(\"text-ignore-placement\"),o.bucketInstanceId,I,v.ID),n)){var $=o.bucketInstanceId,Q=i.collisionCircleArrays[$];void 0===Q&&(Q=i.collisionCircleArrays[$]=new be);for(var tt=0;tt<P.circles.length;tt+=4)Q.circles.push(P.circles[tt+0]),Q.circles.push(P.circles[tt+1]),Q.circles.push(P.circles[tt+2]),Q.circles.push(P.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 L=S[E];M(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C<e.symbolInstanceEnd;C++)M(o.symbolInstances.get(C),o.collisionArrays[C]);if(n&&o.bucketInstanceId in this.collisionCircleArrays){var P=this.collisionCircleArrays[o.bucketInstanceId];t.invert(P.invProjMatrix,l),P.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 u=l[s];u>=0&&(e.text.placedSymbolArray.get(u).crossTileID=a>=0&&u!==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],u=i[s];u?(this.opacities[s]=new me(u,n,l.text,l.icon),r=r||l.text!==u.text.placed||l.icon!==u.icon.placed):(this.opacities[s]=new me(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var c in i){var f=i[c];if(!this.opacities[c]){var h=new me(f,n,!1,!1);h.isHidden()||(this.opacities[c]=h,r=r||f.text.placed||f.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 me(null,0,!1,!1,!0),s=a.get(\"text-allow-overlap\"),l=a.get(\"icon-allow-overlap\"),u=a.get(\"text-variable-anchor\"),c=\"map\"===a.get(\"text-rotation-alignment\"),f=\"map\"===a.get(\"text-pitch-alignment\"),h=\"none\"!==a.get(\"icon-text-fit\"),p=new me(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)},v=function(n){var a=e.symbolInstances.get(n),s=a.numHorizontalGlyphVertices,l=a.numVerticalGlyphVertices,v=a.crossTileID,g=r[v],y=i.opacities[v];g?y=o:y||(y=p,i.opacities[v]=y),r[v]=!0;var m=s>0||l>0,x=a.numIconVertices>0,b=i.placedOrientations[a.crossTileID],_=b===t.WritingMode.vertical,w=b===t.WritingMode.horizontal||b===t.WritingMode.horizontalOnly;if(m){var T=De(y.text),k=_?ze:T;d(e.text,s,k);var A=w?ze: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||_?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,b);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,\"left\",a,E),i.markUsedOrientation(e,E,a))}if(x){var L=De(y.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:ze;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=y.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var O=C?ze:L;d(e.icon,a.numVerticalIconVertices,O),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=y.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var I=e.collisionArrays[n];if(I){var D=new t.Point(0,0);if(I.textBox||I.verticalTextBox){var z=!0;if(u){var R=i.variableOffsets[v];R?(D=Te(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),c&&D._rotate(f?i.transform.angle:-i.transform.angle)):z=!1}I.textBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||_,D.x,D.y),I.verticalTextBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||w,D.x,D.y)}var F=Boolean(!w&&I.verticalIconBox);I.iconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,F,h?D.x:0,h?D.y:0),I.verticalIconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,!F,h?D.x:0,h?D.y:0)}}},g=0;g<e.symbolInstances.length;g++)v(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),Le=Math.pow(2,17),Ce=Math.pow(2,16),Pe=Math.pow(2,9),Oe=Math.pow(2,8),Ie=Math.pow(2,1);function De(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*Le+e*Ce+r*Pe+e*Oe+r*Ie+e}var ze=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,u=o;l<u.length;l+=1){var c=u[l];if(Math.abs(c.coord.x-s.x)<=n&&Math.abs(c.coord.y-s.y)<=n&&!r[c.crossTileID]){r[c.crossTileID]=!0,a.crossTileID=c.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 u=o[t.scaledTo(Number(a)).key];u&&u.findMatches(e.symbolInstances,t,i)}}for(var c=0;c<e.symbolInstances.length;c++){var f=e.symbolInstances.get(c);f.crossTileID||(f.crossTileID=r.generate(),i[f.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],u=l.getBucket(t);u&&t.id===u.layerIds[0]&&(u.bucketInstanceId||(u.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,u,this.crossTileIDs)&&(i=!0),a[u.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 He=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return\"source.canvas\"!==t.identifier})))},qe=t.pick(Ht,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),Ge=t.pick(Ht,[\"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}(),Ye=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 h,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||!He(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,c())})),u=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),(function(t,e){u=null,o||(o=t,a=e,c())}));function c(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],u=l.width,c=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,v=l.stretchX,g=l.stretchY,y=l.content,m=new t.RGBAImage({width:u,height:c});t.RGBAImage.copy(e,m,{x:f,y:h},{x:0,y:0},{width:u,height:c}),r[s]={data:m,pixelRatio:d,sdf:p,stretchX:v,stretchY:g,content:y}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),u&&(u.cancel(),u=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()}for(var l in this.sourceCaches)this.sourceCaches[l].used=!1;for(var u=0,c=this._order;u<c.length;u+=1){var f=c[u],h=this._layers[f];h.recalculate(e,this._availableImages),!h.isHidden(e.zoom)&&h.source&&(this.sourceCaches[h.source].used=!0)}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(),He(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=Vt(e.layers);var n=Kt(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 qe)}));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._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},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._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,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 the 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 Ot(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(He(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 requred 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 u=l[s][o];if(u)for(var c=0,f=u;c<f.length;c+=1){var h=f[c];i.push(h)}}}}i.sort((function(t,e){return e.intersectionZ-t.intersectionZ}));for(var p=[],d=this._order.length-1;d>=0;d--){var v=this._order[d];if(r(v))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 m=0,x=t;m<x.length;m+=1){var b=x[m][v];if(b)for(var _=0,w=b;_<w.length;_+=1){var T=w[_];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 u=[];for(var c in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!i[c]||u.push(B(this.sourceCaches[c],this._layers,this._serializedLayers,e,r,n));return this.placement&&u.push(function(t,e,r,n,i,a,o){for(var s={},l=a.queryRenderedSymbols(n),u=[],c=0,f=Object.keys(l).map(Number);c<f.length;c+=1){var h=f[c];u.push(o[h])}u.sort(N);for(var p=function(){var r=v[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]||[],u=n[a];u.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 c=0,f=u;c<f.length;c+=1){var h=f[c];o.push(h)}}},d=0,v=u;d<v.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(u)},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)&&He(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={},u=0,c=this._order;u<c.length;u+=1){var f=c[u],h=this._layers[f];if(\"symbol\"===h.type){if(!l[h.source]){var p=this.sourceCaches[h.source];l[h.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(h,l[h.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 v=0,g=this._order;v<g.length;v+=1){var y=g[v],m=this._layers[y];\"symbol\"===m.type&&this.placement.updateLayerOpacities(m,l[m.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);Ye.getSourceType=function(t){return R[t]},Ye.setSourceType=function(t,e){R[t]=e},Ye.registerForPluginStateChange=t.registerForPluginStateChange;var We=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Xe=_r(\"#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;}\"),Je=_r(\"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);}\"),Ke=_r(\"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);}\"),$e=_r(\"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=_r(\"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=_r(\"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=_r(\"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=_r(\"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=_r(\"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=_r(\"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=_r(\"#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=_r(\"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=_r(\"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=_r(\"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);}\"),ur=_r(\"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;}\"),cr=_r(\"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;}\"),fr=_r(\"#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 float u_maxzoom;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 exaggeration=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/ pow(2.0,(u_zoom-u_maxzoom)*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;}\"),hr=_r(\"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=_r(\"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=_r(\"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 float v_lineprogress;\\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,vec2(v_lineprogress,0.5));gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define MAX_LINE_DISTANCE 32767.0\\n#define scale 0.015873016\\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_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_lineprogress;\\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;v_lineprogress=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0/MAX_LINE_DISTANCE;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);}\"),vr=_r(\"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=_r(\"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=_r(\"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;}\"),mr=_r(\"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=_r(\"#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);}\"),br=_r(\"#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 _r(t,e){var r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n={};return{fragmentSource:t=t.replace(r,(function(t,e,r,i,a){return n[a]=!0,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"})),vertexSource:e=e.replace(r,(function(t,e,r,i,a){var o=\"float\"===i?\"vec2\":\"vec4\",s=a.match(/color/)?\"color\":o;return n[a]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+a+\" = a_\"+a+\";\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = a_\"+a+\";\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"}))}}var wr=Object.freeze({__proto__:null,prelude:Xe,background:Je,backgroundPattern:Ke,circle:$e,clippingMask:Qe,heatmap:tr,heatmapTexture:er,collisionBox:rr,collisionCircle:nr,debug:ir,fill:ar,fillOutline:or,fillOutlinePattern:sr,fillPattern:lr,fillExtrusion:ur,fillExtrusionPattern:cr,hillshadePrepare:fr,hillshade:hr,line:pr,lineGradient:dr,linePattern:vr,lineSDF:gr,raster:yr,symbolIcon:mr,symbolSDF:xr,symbolTextAndIcon:br}),Tr=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};Tr.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,u=0;!l&&u<n.length;u++)this.boundPaintVertexBuffers[u]!==n[u]&&(l=!0);var c=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||l||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||c?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,u=this.context,c=u.gl;if(u.extVertexArrayObject)this.vao&&this.destroy(),this.vao=u.extVertexArrayObject.createVertexArrayOES(),u.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=u.currentNumAttributes||0;for(var f=l;f<s;f++)c.disableVertexAttribArray(f)}e.enableAttributes(c,t);for(var h=0,p=r;h<p.length;h+=1)p[h].enableAttributes(c,t);a&&a.enableAttributes(c,t),o&&o.enableAttributes(c,t),e.bind(),e.setVertexAttribPointers(c,t,i);for(var d=0,v=r;d<v.length;d+=1){var g=v[d];g.bind(),g.setVertexAttribPointers(c,t,i)}a&&(a.bind(),a.setVertexAttribPointers(c,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(c,t,i)),u.currentNumAttributes=l},Tr.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var kr=function(t,e,r,n,i){var a=t.gl;this.program=a.createProgram();var o=r?r.defines():[];i&&o.push(\"#define OVERDRAW_INSPECTOR;\");var s=o.concat(Xe.fragmentSource,e.fragmentSource).join(\"\\n\"),l=o.concat(Xe.vertexSource,e.vertexSource).join(\"\\n\"),u=a.createShader(a.FRAGMENT_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(u,s),a.compileShader(u),a.attachShader(this.program,u);var c=a.createShader(a.VERTEX_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(c,l),a.compileShader(c),a.attachShader(this.program,c);for(var f=r?r.layoutAttributes:[],h=0;h<f.length;h++)a.bindAttribLocation(this.program,h,f[h].name);a.linkProgram(this.program),a.deleteShader(c),a.deleteShader(u),this.numAttributes=a.getProgramParameter(this.program,a.ACTIVE_ATTRIBUTES),this.attributes={};for(var p={},d=0;d<this.numAttributes;d++){var v=a.getActiveAttrib(this.program,d);v&&(this.attributes[v.name]=a.getAttribLocation(this.program,v.name))}for(var g=a.getProgramParameter(this.program,a.ACTIVE_UNIFORMS),y=0;y<g;y++){var m=a.getActiveUniform(this.program,y);m&&(p[m.name]=a.getUniformLocation(this.program,m.name))}this.fixedUniforms=n(t,p),this.binderUniforms=r?r.getUniforms(t,p):[]}}};function Ar(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]}}kr.prototype.draw=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=t.gl;if(!this.failedToCreate){for(var m in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[m].set(o[m]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(g={},g[y.LINES]=2,g[y.TRIANGLES]=3,g[y.LINE_STRIP]=1,g)[e],b=0,_=c.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new Tr)).bind(t,this,l,p?p.getPaintVertexBuffers():[],u,w.vertexOffset,d,v),y.drawElements(e,w.primitiveLength*x,y.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Mr=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 u=a.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get(\"intensity\"),u_lightcolor:[u.r,u.g,u.b],u_vertical_gradient:+n,u_opacity:i}},Sr=function(e,r,n,i,a,o,s){return t.extend(Mr(e,r,n,i),Ar(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Er=function(t){return{u_matrix:t}},Lr=function(e,r,n,i){return t.extend(Er(e),Ar(n,r,i))},Cr=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})},Or=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}},Ir=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]}},zr=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Rr=function(t){return{u_matrix:t}},Fr=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:ge(e,1,r),u_intensity:n}},Br=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\")}},Nr=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,u,c,f=!e.options.moving;return{u_matrix:e.transform.calculatePosMatrix(r.tileID.toUnwrapped(),f),u_image:0,u_latrange:(l=r.tileID,u=Math.pow(2,l.canonical.z),c=l.canonical.y,[new t.MercatorCoordinate(0,c/u).toLngLat().lat,new t.MercatorCoordinate(0,(c+1)/u).toLngLat().lat]),u_light:[n.paint.get(\"hillshade-exaggeration\"),s],u_shadow:i,u_highlight:a,u_accent:o}},jr=function(e,r,n){var i=r.stride,a=t.create();return t.ortho(a,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(a,a,[0,-t.EXTENT,0]),{u_matrix:a,u_image:1,u_dimension:[i,i],u_zoom:e.overscaledZ,u_maxzoom:n,u_unpack:r.getUnpackVector()}};var Ur=function(e,r,n){var i=e.transform;return{u_matrix:Zr(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]]}},Vr=function(e,r,n){return t.extend(Ur(e,r,n),{u_image:0})},Hr=function(e,r,n,i){var a=e.transform,o=Gr(r,a);return{u_matrix:Zr(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]]}},qr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=Gr(r,o),u=\"round\"===n.layout.get(\"line-cap\"),c=s.getDash(i.from,u),f=s.getDash(i.to,u),h=c.width*a.fromScale,p=f.width*a.toScale;return t.extend(Ur(e,r,n),{u_patternscale_a:[l/h,-c.height/2],u_patternscale_b:[l/p,-f.height/2],u_sdfgamma:s.width/(256*Math.min(h,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:c.y,u_tex_y_b:f.y,u_mix:a.t})};function Gr(t,e){return 1/ge(t,1,e.tileZoom)}function Zr(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:Wr(i.paint.get(\"raster-hue-rotate\"))};var a,o};function Wr(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 Xr,Jr=function(t,e,r,n,i,a,o,s,l,u){var c=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:c.cameraToCenterDistance,u_pitch:c.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:c.width/c.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:u,u_texture:0}},Kr=function(e,r,n,i,a,o,s,l,u,c,f){var h=a.transform;return t.extend(Jr(e,r,n,i,a,o,s,l,u,c),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},$r=function(e,r,n,i,a,o,s,l,u,c){return t.extend(Kr(e,r,n,i,a,o,s,l,!0,u,!0),{u_texsize_icon:c,u_texture_icon:1})},Qr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},tn=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,u=Math.pow(2,n.tileID.overscaledZ),c=n.tileSize*Math.pow(2,r.transform.tileZoom)/u,f=c*(n.tileID.canonical.x+n.tileID.wrap*u),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:[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:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},en={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_maxzoom:new t.Uniform1f(e,r.u_maxzoom),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)}},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 rn(e,r,n,i,a,o,s){for(var l=e.context,u=l.gl,c=e.useProgram(\"collisionBox\"),f=[],h=0,p=0,d=0;d<i.length;d++){var v=i[d],g=r.getTile(v),y=g.getBucket(n);if(y){var m=v.posMatrix;0===a[0]&&0===a[1]||(m=e.translatePosMatrix(v.posMatrix,g,a,o));var x=s?y.textCollisionBox:y.iconCollisionBox,b=y.collisionCircleArray;if(b.length>0){var _=t.create(),w=m;t.mul(_,y.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,y.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&c.draw(l,u.LINES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,Ir(m,e.transform,g),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram(\"collisionCircle\"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var A=0,M=0,S=f;M<S.length;M+=1)for(var E=S[M],L=0;L<E.circleArray.length/4;L++){var C=4*L,P=E.circleArray[C+0],O=E.circleArray[C+1],I=E.circleArray[C+2],D=E.circleArray[C+3];k.emplace(A++,P,O,I,D,0),k.emplace(A++,P,O,I,D,1),k.emplace(A++,P,O,I,D,2),k.emplace(A++,P,O,I,D,3)}(!Xr||Xr.length<2*h)&&(Xr=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}(h));for(var z=l.createIndexBuffer(Xr,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=f;F<B.length;F+=1){var N=B[F],j=Dr(N.transform,N.invTransform,e.transform);T.draw(l,u.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,j,n.id,R,z,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),z.destroy()}}var nn=t.identity(new Float32Array(16));function an(e,r,n,i,a,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,u=-(s.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,i);return new t.Point((l/a+c[0])*o,(u/a+c[1])*o)}function on(e,r,n,i,a,o,s,l,u,c,f){var h=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,v={};p.clear();for(var g=0;g<h.length;g++){var y=h.get(g),m=e.allowVerticalPlacement&&!y.placedOrientation,x=y.hidden||!y.crossTileID||m?null:i[y.crossTileID];if(x){var b=new t.Point(y.anchorX,y.anchorY),_=re(b,n?l:s),w=ne(o.cameraToCenterDistance,_.signedDistanceFromCamera),T=a.evaluateSizeForFeature(e.textSizeData,c,y)*w/t.ONE_EM;n&&(T*=e.tilePixelRatio/u);for(var k=x.width,A=x.height,M=an(x.anchor,k,A,x.textOffset,x.textBoxScale,T),S=n?re(b.add(M),s).point:_.point.add(r?M.rotate(-o.angle):M),E=e.allowVerticalPlacement&&y.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,L=0;L<y.numGlyphs;L++)t.addDynamicAttributes(p,S,E);f&&y.associatedIconIndex>=0&&(v[y.associatedIconIndex]={shiftedAnchor:S,angle:E})}else he(y.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P<C.length;P++){var O=C.get(P);if(O.hidden)he(O.numGlyphs,d);else{var I=v[P];if(I)for(var D=0;D<O.numGlyphs;D++)t.addDynamicAttributes(d,I.shiftedAnchor,I.angle);else he(O.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function sn(t,e,r){return r.iconsInText&&e?\"symbolTextAndIcon\":t?\"symbolSDF\":\"symbolIcon\"}function ln(e,r,n,i,a,o,s,l,u,c,f,h){for(var p=e.context,d=p.gl,v=e.transform,g=\"map\"===l,y=\"map\"===u,m=g&&\"point\"!==n.layout.get(\"symbol-placement\"),x=g&&!y&&!m,b=void 0!==n.layout.get(\"symbol-sort-key\").constantOr(1),_=e.depthModeForSublayer(0,Mt.ReadOnly),w=n.layout.get(\"text-variable-anchor\"),T=[],k=0,A=i;k<A.length;k+=1){var M=A[k],S=r.getTile(M),E=S.getBucket(n);if(E){var L=a?E.text:E.icon;if(L&&L.segments.get().length){var C=L.programConfigurations.get(n.id),P=a||E.sdfIcons,O=a?E.textSizeData:E.iconSizeData,I=y||0!==v.pitch,D=e.useProgram(sn(P,a,E),C),z=t.evaluateSizeForZoom(O,v.zoom),R=void 0,F=[0,0],B=void 0,N=void 0,j=null,U=void 0;if(a){if(B=S.glyphAtlasTexture,N=d.LINEAR,R=S.glyphAtlasTexture.size,E.iconsInText){F=S.imageAtlasTexture.size,j=S.imageAtlasTexture;var V=\"composite\"===O.kind||\"camera\"===O.kind;U=I||e.options.rotating||e.options.zooming||V?d.LINEAR:d.NEAREST}}else{var H=1!==n.layout.get(\"icon-size\").constantOr(0)||E.iconsNeedLinear;B=S.imageAtlasTexture,N=P||e.options.rotating||e.options.zooming||H||I?d.LINEAR:d.NEAREST,R=S.imageAtlasTexture.size}var q=ge(S,1,e.transform.zoom),G=te(M.posMatrix,y,g,e.transform,q),Z=ee(M.posMatrix,y,g,e.transform,q),Y=w&&E.hasTextData(),W=\"none\"!==n.layout.get(\"icon-text-fit\")&&Y&&E.hasIconData();m&&ae(E,M.posMatrix,e,a,G,Z,y,c);var X=e.translatePosMatrix(M.posMatrix,S,o,s),J=m||a&&w||W?nn:G,K=e.translatePosMatrix(Z,S,o,s,!0),$=P&&0!==n.paint.get(a?\"text-halo-width\":\"icon-halo-width\").constantOr(1),Q={program:D,buffers:L,uniformValues:P?E.iconsInText?$r(O.kind,z,x,y,e,X,J,K,R,F):Kr(O.kind,z,x,y,e,X,J,K,a,R,!0):Jr(O.kind,z,x,y,e,X,J,K,a,R),atlasTexture:B,atlasTextureIcon:j,atlasInterpolation:N,atlasInterpolationIcon:U,isSDF:P,hasHalo:$};if(b)for(var tt=0,et=L.segments.get();tt<et.length;tt+=1){var rt=et[tt];T.push({segments:new t.SegmentVector([rt]),sortKey:rt.sortKey,state:Q})}else T.push({segments:L.segments,sortKey:0,state:Q})}}}b&&T.sort((function(t,e){return t.sortKey-e.sortKey}));for(var nt=0,it=T;nt<it.length;nt+=1){var at=it[nt],ot=at.state;if(p.activeTexture.set(d.TEXTURE0),ot.atlasTexture.bind(ot.atlasInterpolation,d.CLAMP_TO_EDGE),ot.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),ot.atlasTextureIcon&&ot.atlasTextureIcon.bind(ot.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),ot.isSDF){var st=ot.uniformValues;ot.hasHalo&&(st.u_is_halo=1,un(ot.buffers,at.segments,n,e,ot.program,_,f,h,st)),st.u_is_halo=0}un(ot.buffers,at.segments,n,e,ot.program,_,f,h,ot.uniformValues)}}function un(t,e,r,n,i,a,o,s,l){var u=n.context,c=u.gl;i.draw(u,c.TRIANGLES,a,o,s,Ct.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function cn(t,e,r,n,i,a,o){var s,l,u,c,f,h=t.context.gl,p=r.paint.get(\"fill-pattern\"),d=p&&p.constantOr(1),v=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",s=h.LINES):(l=d?\"fillPattern\":\"fill\",s=h.TRIANGLES);for(var g=0,y=n;g<y.length;g+=1){var m=y[g],x=e.getTile(m);if(!d||x.patternsLoaded()){var b=x.getBucket(r);if(b){var _=b.programConfigurations.get(r.id),w=t.useProgram(l,_);d&&(t.context.activeTexture.set(h.TEXTURE0),x.imageAtlasTexture.bind(h.LINEAR,h.CLAMP_TO_EDGE),_.updatePaintBuffers(v));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&&_.setConstantPatternPositions(A,M)}var S=t.translatePosMatrix(m.posMatrix,x,r.paint.get(\"fill-translate\"),r.paint.get(\"fill-translate-anchor\"));if(o){c=b.indexBuffer2,f=b.segments2;var E=[h.drawingBufferWidth,h.drawingBufferHeight];u=\"fillOutlinePattern\"===l&&d?Pr(S,t,v,x,E):Cr(S,E)}else c=b.indexBuffer,f=b.segments,u=d?Lr(S,t,v,x):Er(S);w.draw(t.context,s,i,t.stencilModeForClipping(m),a,Ct.disabled,u,r.id,b.layoutVertexBuffer,c,f,r.paint,t.transform.zoom,_)}}}}function fn(t,e,r,n,i,a,o){for(var s=t.context,l=s.gl,u=r.paint.get(\"fill-extrusion-pattern\"),c=u.constantOr(1),f=r.getCrossfadeParameters(),h=r.paint.get(\"fill-extrusion-opacity\"),p=0,d=n;p<d.length;p+=1){var v=d[p],g=e.getTile(v),y=g.getBucket(r);if(y){var m=y.programConfigurations.get(r.id),x=t.useProgram(c?\"fillExtrusionPattern\":\"fillExtrusion\",m);c&&(t.context.activeTexture.set(l.TEXTURE0),g.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),m.updatePaintBuffers(f));var b=u.constantOr(null);if(b&&g.imageAtlas){var _=g.imageAtlas,w=_.patternPositions[b.to.toString()],T=_.patternPositions[b.from.toString()];w&&T&&m.setConstantPatternPositions(w,T)}var k=t.translatePosMatrix(v.posMatrix,g,r.paint.get(\"fill-extrusion-translate\"),r.paint.get(\"fill-extrusion-translate-anchor\")),A=r.paint.get(\"fill-extrusion-vertical-gradient\"),M=c?Sr(k,t,A,h,v,f,g):Mr(k,t,A,h);x.draw(s,s.gl.TRIANGLES,i,a,o,Ct.backCCW,M,r.id,y.layoutVertexBuffer,y.indexBuffer,y.segments,r.paint,t.transform.zoom,m)}}}function hn(t,e,r,n,i,a){var o=t.context,s=o.gl,l=e.fbo;if(l){var u=t.useProgram(\"hillshade\");o.activeTexture.set(s.TEXTURE0),s.bindTexture(s.TEXTURE_2D,l.colorAttachment.get());var c=Nr(t,e,r);u.draw(o,s.TRIANGLES,n,i,a,Ct.disabled,c,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}function pn(e,r,n,i,a,o,s){var l=e.context,u=l.gl,c=r.dem;if(c&&c.data){var f=c.dim,h=c.stride,p=c.getPixels();if(l.activeTexture.set(u.TEXTURE1),l.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(h),r.demTexture){var d=r.demTexture;d.update(p,{premultiply:!1}),d.bind(u.NEAREST,u.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(l,p,u.RGBA,{premultiply:!1}),r.demTexture.bind(u.NEAREST,u.CLAMP_TO_EDGE);l.activeTexture.set(u.TEXTURE0);var v=r.fbo;if(!v){var g=new t.Texture(l,{width:f,height:f,data:null},u.RGBA);g.bind(u.LINEAR,u.CLAMP_TO_EDGE),(v=r.fbo=l.createFramebuffer(f,f,!0)).colorAttachment.set(g.texture)}l.bindFramebuffer.set(v.framebuffer),l.viewport.set([0,0,f,f]),e.useProgram(\"hillshadePrepare\").draw(l,u.TRIANGLES,a,o,s,Ct.disabled,jr(r.tileID,c,i),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function dn(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,u=r?(s-r.timeAdded)/o:-1,c=n.getSource(),f=a.coveringZoomLevel({tileSize:c.tileSize,roundZoom:c.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-u,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 vn=new t.Color(1,0,0,1),gn=new t.Color(0,1,0,1),yn=new t.Color(0,0,1,1),mn=new t.Color(1,0,1,1),xn=new t.Color(0,1,1,1);function bn(t){var e=t.transform.padding;_n(t,t.transform.height-(e.top||0),3,vn),_n(t,e.bottom||0,3,gn),wn(t,e.left||0,3,yn),wn(t,t.transform.width-(e.right||0),3,mn);var r=t.transform.centerPoint;!function(t,e,r,n){var i=20,a=2;Tn(t,e-a/2,r-i/2,a,i,n),Tn(t,e-i/2,r-a/2,i,a,n)}(t,r.x,t.transform.height-r.y,xn)}function _n(t,e,r,n){Tn(t,0,e+r/2,t.transform.width,r,n)}function wn(t,e,r,n){Tn(t,e-r/2,0,r,t.transform.height,n)}function Tn(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 kn(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram(\"debug\"),l=Mt.disabled,u=Et.disabled,c=e.colorModeForRenderPass(),f=\"$debug\";i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,u,c,Ct.disabled,zr(o,t.Color.red),f,e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var h=r.getTileByID(n.key).latestRawTileData,p=h&&h.byteLength||0,d=Math.floor(p/1024),v=r.getTile(n).tileSize,g=512/Math.min(v,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,u,Lt.alphaBlended,Ct.disabled,zr(o,t.Color.transparent,g),f,e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var An={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,u=\"map\"===a,c=\"map\"===o,f=0,h=e;f<h.length;f+=1){var p=h[f],d=i.getTile(p),v=d.getBucket(n);if(v&&v.text&&v.text.segments.get().length){var g=v.textSizeData,y=t.evaluateSizeForZoom(g,l.zoom),m=ge(d,1,r.transform.zoom),x=te(p.posMatrix,c,u,r.transform,m),b=\"none\"!==n.layout.get(\"icon-text-fit\")&&v.hasIconData();if(y){var _=Math.pow(2,l.zoom-d.tileID.overscaledZ);on(v,u,c,s,t.symbolSize,l,x,p.posMatrix,_,y,b)}}}}(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)&&ln(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)&&ln(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&&(rn(e,r,n,i,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),!0),rn(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 u=e.context,c=u.gl,f=e.depthModeForSublayer(0,Mt.ReadOnly),h=Et.disabled,p=e.colorModeForRenderPass(),d=[],v=0;v<i.length;v++){var g=i[v],y=r.getTile(g),m=y.getBucket(n);if(m){var x=m.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram(\"circle\",x),layoutVertexBuffer:m.layoutVertexBuffer,indexBuffer:m.indexBuffer,uniformValues:Or(e,g,y,n)};if(l)for(var _=0,w=m.segments.get();_<w.length;_+=1){var T=w[_];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:b})}else d.push({segments:m.segments,sortKey:0,state:b})}}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,L=S.program,C=S.layoutVertexBuffer,P=S.indexBuffer,O=S.uniformValues,I=M.segments;L.draw(u,c.TRIANGLES,f,h,p,Ct.disabled,O,n.id,C,P,I,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 Lt([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 u=0;u<i.length;u++){var c=i[u];if(!r.hasRenderableParent(c)){var f=r.getTile(c),h=f.getBucket(n);if(h){var p=h.programConfigurations.get(n.id),d=e.useProgram(\"heatmap\",p),v=e.transform.zoom;d.draw(a,o.TRIANGLES,Mt.disabled,s,l,Ct.disabled,Fr(c.posMatrix,f,v,n.paint.get(\"heatmap-intensity\")),n.id,h.layoutVertexBuffer,h.indexBuffer,h.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(),Ct.disabled,Br(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)){var s=e.depthModeForSublayer(0,Mt.ReadOnly),l=e.colorModeForRenderPass(),u=n.paint.get(\"line-dasharray\"),c=n.paint.get(\"line-pattern\"),f=c.constantOr(1),h=n.paint.get(\"line-gradient\"),p=n.getCrossfadeParameters(),d=f?\"linePattern\":u?\"lineSDF\":h?\"lineGradient\":\"line\",v=e.context,g=v.gl,y=!0;if(h){v.activeTexture.set(g.TEXTURE0);var m=n.gradientTexture;if(!n.gradient)return;m||(m=n.gradientTexture=new t.Texture(v,n.gradient,g.RGBA)),m.bind(g.LINEAR,g.CLAMP_TO_EDGE)}for(var x=0,b=i;x<b.length;x+=1){var _=b[x],w=r.getTile(_);if(!f||w.patternsLoaded()){var T=w.getBucket(n);if(T){var k=T.programConfigurations.get(n.id),A=e.context.program.get(),M=e.useProgram(d,k),S=y||M.program!==A,E=c.constantOr(null);if(E&&w.imageAtlas){var L=w.imageAtlas,C=L.patternPositions[E.to.toString()],P=L.patternPositions[E.from.toString()];C&&P&&k.setConstantPatternPositions(C,P)}var O=f?Hr(e,w,n,p):u?qr(e,w,n,u,p):h?Vr(e,w,n):Ur(e,w,n);f?(v.activeTexture.set(g.TEXTURE0),w.imageAtlasTexture.bind(g.LINEAR,g.CLAMP_TO_EDGE),k.updatePaintBuffers(p)):u&&(S||e.lineAtlas.dirty)&&(v.activeTexture.set(g.TEXTURE0),e.lineAtlas.bind(v)),M.draw(v,g.TRIANGLES,s,e.stencilModeForClipping(_),l,Ct.disabled,O,n.id,T.layoutVertexBuffer,T.indexBuffer,T.segments,n.paint,e.transform.zoom,k),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\"),u=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?\"opaque\":\"translucent\";if(e.renderPass===u){var c=e.depthModeForSublayer(1,\"opaque\"===e.renderPass?Mt.ReadWrite:Mt.ReadOnly);cn(e,r,n,i,c,s,!1)}if(\"translucent\"===e.renderPass&&n.paint.get(\"fill-antialias\")){var f=e.depthModeForSublayer(n.getPaintProperty(\"fill-outline-color\")?2:0,Mt.ReadOnly);cn(e,r,n,i,f,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,Lt.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=e.getSource().maxzoom,o=t.depthModeForSublayer(0,Mt.ReadOnly),s=t.colorModeForRenderPass(),l=\"translucent\"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],u=l[0],c=0,f=l[1];c<f.length;c+=1){var h=f[c],p=e.getTile(h);p.needsHillshadePrepare&&\"offscreen\"===t.renderPass?pn(t,p,r,a,o,Et.disabled,s):\"translucent\"===t.renderPass&&hn(t,p,r,o,u[h.overscaledZ],s)}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(),u=o instanceof I?[{},n]:t.stencilConfigForOverlap(n),c=u[0],f=u[1],h=f[f.length-1].overscaledZ,p=!t.options.moving,d=0,v=f;d<v.length;d+=1){var g=v[d],y=t.depthModeForSublayer(g.overscaledZ-h,1===r.paint.get(\"raster-opacity\")?Mt.ReadWrite:Mt.ReadOnly,a.LESS),m=e.getTile(g),x=t.transform.calculatePosMatrix(g.toUnwrapped(),p);m.registerFadeDuration(r.paint.get(\"raster-fade-duration\"));var b=e.findLoadedParent(g,0),_=dn(m,b,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),m.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),i.activeTexture.set(a.TEXTURE1),b?(b.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),w=Math.pow(2,b.tileID.overscaledZ-m.tileID.overscaledZ),T=[m.tileID.canonical.x*w%1,m.tileID.canonical.y*w%1]):m.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST);var A=Yr(x,T||[0,0],w||1,_,r);o instanceof I?s.draw(i,a.TRIANGLES,y,Et.disabled,l,Ct.disabled,A,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,y,c[g.overscaledZ],l,Ct.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,u=r.paint.get(\"background-pattern\");if(!t.isPatternMissing(u)){var c=!u&&1===n.a&&1===i&&t.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(t.renderPass===c){var f=Et.disabled,h=t.depthModeForSublayer(0,\"opaque\"===c?Mt.ReadWrite:Mt.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(u?\"backgroundPattern\":\"background\"),v=s.coveringTiles({tileSize:l});u&&(a.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var g=r.getCrossfadeParameters(),y=0,m=v;y<m.length;y+=1){var x=m[y],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=u?tn(b,i,t,u,{tileID:x,tileSize:l},g):Qr(b,i,n);d.draw(a,o.TRIANGLES,h,f,p,Ct.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)kn(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)}}},Mn=function(t,e){this.context=new Pt(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Ot.maxUnderzooming+Ot.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Ve,this.gpuTimers={}};Mn.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()}},Mn.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,We.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,We.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,O.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,We.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)},Mn.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,Lt.disabled,Ct.disabled,Rr(n),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},Mn.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(Lt.disabled),r.setDepthMode(Mt.disabled);var i=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var a=0,o=e;a<o.length;a+=1){var s=o[a],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;i.draw(r,n.TRIANGLES,Mt.disabled,new Et({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),Lt.disabled,Ct.disabled,Rr(s.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},Mn.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)},Mn.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)},Mn.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]},Mn.prototype.colorModeForRenderPass=function(){var e=this.context.gl;if(this._showOverdrawInspector){var r=1/8;return new Lt([e.CONSTANT_COLOR,e.ONE],new t.Color(r,r,r,0),[!0,!0,!0,!0])}return\"opaque\"===this.renderPass?Lt.unblended:Lt.alphaBlended},Mn.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])},Mn.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},Mn.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,u,c={},f={},h={};for(var p in a){var d=a[p];c[p]=d.getVisibleCoordinates(),f[p]=c[p].slice().reverse(),h[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var v=0;v<i.length;v++){var g=i[v];if(this.style._layers[g].is3D()){this.opaquePassCutoff=v;break}}this.renderPass=\"offscreen\";for(var y=0,m=i;y<m.length;y+=1){var x=m[y],b=this.style._layers[x];if(b.hasOffscreenPass()&&!b.isHidden(this.transform.zoom)){var _=f[b.source];(\"custom\"===b.type||_.length)&&this.renderLayer(this,a[b.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=c[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?h:f)[A.source];this._renderTileClippingMasks(A,c[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!==(u&&u.id)&&(u=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<u.getSource().maxzoom)&&(l=u))})),l&&An.debug(this,l,l.getVisibleCoordinates())),this.options.showPadding&&bn(this),this.context.setDefault()},Mn.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),An[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},Mn.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)}},Mn.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},Mn.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},Mn.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},Mn.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 u=[a?n[0]:ge(r,n[0],this.transform.zoom),a?n[1]:ge(r,n[1],this.transform.zoom),0],c=new Float32Array(16);return t.translate(c,e,u),c},Mn.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},Mn.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},Mn.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},Mn.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 kr(this.context,wr[t],e,en[t],this._showOverdrawInspector)),this.cache[r]},Mn.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()},Mn.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)},Mn.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)}},Mn.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var Sn=function(t,e){this.points=t,this.planes=e};Sn.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 Sn(a,o)};var En=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};En.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 En(n,i)},En.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},En.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},En.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 u=Number.MAX_VALUE,c=-Number.MAX_VALUE,f=0;f<e.points.length;f++){var h=e.points[f][l]-this.min[l];u=Math.min(u,h),c=Math.max(c,h)}if(c<0||u>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 Cn=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}};Cn.prototype.clone=function(){var t=new Cn(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)},Cn.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},Cn.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},Cn.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)},Cn.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)),u=s-1;u<=l+1;u++)0!==u&&r.push(new t.UnwrappedTileID(u,e));return r},Cn.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=Sn.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var u=function(t){return{aabb:new En([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},c=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)c.push(u(-d)),c.push(u(d));for(c.push(u(0));c.length>0;){var v=c.pop(),g=v.x,y=v.y,m=v.fullyVisible;if(!m){var x=v.aabb.intersects(s);if(0===x)continue;m=2===x}var b=v.aabb.distanceX(o),_=v.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<<h-v.zoom)-2;if(v.zoom===h||w>T&&v.zoom>=l)f.push({tileID:new t.OverscaledTileID(v.zoom===h?p:v.zoom,v.wrap,v.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);c.push({aabb:v.aabb.quadrant(k),zoom:v.zoom+1,x:A,y:M,wrap:v.wrap,fullyVisible:m})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},Cn.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},Cn.prototype.zoomScale=function(t){return Math.pow(2,t)},Cn.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},Cn.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)},Cn.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)},Cn.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())},Cn.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},Cn.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},Cn.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},Cn.prototype.coordinateLocation=function(t){return t.toLngLat()},Cn.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,u=n[1]/a,c=r[2]/i,f=n[2]/a,h=c===f?0:(0-c)/(f-c);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,u,h)/this.worldSize)},Cn.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])},Cn.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)))},Cn.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},Cn.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])},Cn.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]},Cn.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},Cn.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,u=this.size,c=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-a<u.y?u.y/(o-a):0}if(this.lngRange){var h=this.lngRange;s=t.mercatorXfromLng(h[0])*this.worldSize,r=(l=t.mercatorXfromLng(h[1])*this.worldSize)-s<u.x?u.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=c,void(this._constraining=!1);if(this.latRange){var v=p.y,g=u.y/2;v-g<a&&(i=a+g),v+g>o&&(i=o-g)}if(this.lngRange){var y=p.x,m=u.x/2;y-m<s&&(n=s+m),y+m>l&&(n=l-m)}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=c,this._constraining=!1}},Cn.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,u=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),c=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,c,u),f[8]=2*-r.x/this.width,f[9]=2*r.y/this.height,t.scale(f,f,[1,-1,1]),t.translate(f,f,[0,0,-this.cameraToCenterDistance]),t.rotateX(f,f,this._pitch),t.rotateZ(f,f,this.angle),t.translate(f,f,[-s,-l,0]),this.mercatorMatrix=t.scale([],f,[this.worldSize,this.worldSize,this.worldSize]),t.scale(f,f,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=f,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),v=Math.sin(this.angle),g=s-Math.round(s)+d*h+v*p,y=l-Math.round(l)+d*p+v*h,m=new Float64Array(f);if(t.translate(m,m,[g>.5?g-1:g,y>.5?y-1:y,0]),this.alignedProjMatrix=m,f=t.create(),t.scale(f,f,[this.width/2,-this.height/2,1]),t.translate(f,f,[1,-1,0]),this.labelPlaneMatrix=f,f=t.create(),t.scale(f,f,[1,-1,1]),t.translate(f,f,[-1,-1,0]),t.scale(f,f,[2/this.width,2/this.height,1]),this.glCoordMatrix=f,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(f=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=f,this._posMatrixCache={},this._alignedPosMatrixCache={}}},Cn.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},Cn.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},Cn.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 u=l[s];n=Math.min(n,u.x),i=Math.min(i,u.y),a=Math.max(a,u.x),o=Math.max(o,u.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(Cn.prototype,Pn);var On=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})};On.prototype.addTo=function(e){return this._map=e,t.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},On.prototype.remove=function(){return t.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},On.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(),u=this._map.getPitch(),c=\"\";if(c+=e?\"/\"+o+\"/\"+s+\"/\"+n:n+\"/\"+s+\"/\"+o,(l||u)&&(c+=\"/\"+Math.round(10*l)/10),u&&(c+=\"/\"+Math.round(u)),this._hashName){var f=this._hashName,h=!1,p=t.window.location.hash.slice(1).split(\"&\").map((function(t){var e=t.split(\"=\")[0];return e===f?(h=!0,e+\"=\"+c):t})).filter((function(t){return t}));return h||p.push(f+\"=\"+c),\"#\"+p.join(\"&\")}return\"#\"+c},On.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(\"/\")},On.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},On.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,\"\",e)}catch(t){}};var In={linearity:.3,easing:t.bezier(0,0,.3,1)},Dn=t.extend({deceleration:2500,maxSpeed:1400},In),zn=t.extend({deceleration:20,maxSpeed:1400},In),Rn=t.extend({deceleration:1e3,maxSpeed:360},In),Fn=t.extend({deceleration:1e3,maxSpeed:90},In),Bn=function(t){this._map=t,this.clear()};function Nn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function jn(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)}}Bn.prototype.clear=function(){this._inertiaBuffer=[]},Bn.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},Bn.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},Bn.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=jn(r.pan.mag(),o,t.extend({},Dn,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,Nn(s,l)}if(r.zoom){var u=jn(r.zoom,o,zn);s.zoom=this._map.transform.zoom+u.amount,Nn(s,u)}if(r.bearing){var c=jn(r.bearing,o,Rn);s.bearing=this._map.transform.bearing+t.clamp(c.amount,-179,179),Nn(s,c)}if(r.pitch){var f=jn(r.pitch,o,Fn);s.pitch=this._map.transform.pitch+f.amount,Nn(s,f)}if(s.zoom||s.bearing){var h=void 0===r.pinchAround?r.around:r.pinchAround;s.around=h?this._map.unproject(h):this._map.getCenter()}return this.clear(),t.extend(s,{noMoveStart:!0})}};var Un=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),Vn=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)})),u=s.reduce((function(t,e,r,n){return t.add(e.div(n.length))}),new t.Point(0,0)),c=i.unproject(u);e.call(this,n,{points:s,point:u,lngLats:l,lngLat:c,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),qn=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};qn.prototype.reset=function(){delete this._mousedownPos},qn.prototype.wheel=function(t){return this._firePreventable(new Hn(t.type,this._map,t))},qn.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new Un(t.type,this._map,t))},qn.prototype.mouseup=function(t){this._map.fire(new Un(t.type,this._map,t))},qn.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Un(t.type,this._map,t))},qn.prototype.dblclick=function(t){return this._firePreventable(new Un(t.type,this._map,t))},qn.prototype.mouseover=function(t){this._map.fire(new Un(t.type,this._map,t))},qn.prototype.mouseout=function(t){this._map.fire(new Un(t.type,this._map,t))},qn.prototype.touchstart=function(t){return this._firePreventable(new Vn(t.type,this._map,t))},qn.prototype.touchmove=function(t){this._map.fire(new Vn(t.type,this._map,t))},qn.prototype.touchend=function(t){this._map.fire(new Vn(t.type,this._map,t))},qn.prototype.touchcancel=function(t){this._map.fire(new Vn(t.type,this._map,t))},qn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},qn.prototype.isEnabled=function(){return!0},qn.prototype.isActive=function(){return!1},qn.prototype.enable=function(){},qn.prototype.disable=function(){};var Gn=function(t){this._map=t};Gn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},Gn.prototype.mousemove=function(t){this._map.fire(new Un(t.type,this._map,t))},Gn.prototype.mousedown=function(){this._delayContextMenu=!0},Gn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Un(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},Gn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Un(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()},Gn.prototype.isEnabled=function(){return!0},Gn.prototype.isActive=function(){return!1},Gn.prototype.enable=function(){},Gn.prototype.disable=function(){};var Zn=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}Zn.prototype.isEnabled=function(){return!!this._enabled},Zn.prototype.isActive=function(){return!!this._active},Zn.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Zn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Zn.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Zn.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\"}}},Zn.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)}},Zn.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent(\"boxzoomcancel\",t))},Zn.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},Zn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var Wn=function(t){this.reset(),this.numTouches=t.numTouches};Wn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},Wn.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)))},Wn.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)}}},Wn.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 Xn=function(t){this.singleTap=new Wn(t),this.numTaps=t.numTaps,this.reset()};Xn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},Xn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},Xn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},Xn.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 Xn({numTouches:1,numTaps:2}),this._zoomOut=new Xn({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=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Kn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Kn.prototype._correctButton=function(t,e){return!1},Kn.prototype._move=function(t,e){return{}},Kn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Kn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r&&(t.preventDefault(),this._moved||!(e.dist(r)<this._clickTolerance)))return this._moved=!0,this._lastPoint=e,this._move(r,e)},Kn.prototype.mouseupWindow=function(t){r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},Kn.prototype.enable=function(){this._enabled=!0},Kn.prototype.disable=function(){this._enabled=!1,this.reset()},Kn.prototype.isEnabled=function(){return this._enabled},Kn.prototype.isActive=function(){return this._active};var $n=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}(Kn),Qn=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}(Kn),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._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}(Kn),ei=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};ei.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},ei.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},ei.prototype.touchmove=function(t,e,r){if(this._active)return t.preventDefault(),this._calculateTransform(t,e,r)},ei.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},ei.prototype.touchcancel=function(){this.reset()},ei.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 u=i[l],c=this._touches[l];c&&(a._add(u),o._add(u.sub(c)),s++,i[l]=u)}if(this._touches=i,!(s<this._minTouches)&&o.mag()){var f=o.div(s);if(this._sum._add(f),!(this._sum.mag()<this._clickTolerance))return{around:a.div(s),panDelta:f}}},ei.prototype.enable=function(){this._enabled=!0},ei.prototype.disable=function(){this._enabled=!1,this.reset()},ei.prototype.isEnabled=function(){return this._enabled},ei.prototype.isActive=function(){return this._active};var ri=function(){this.reset()};function ni(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}ri.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},ri.prototype._start=function(t){},ri.prototype._move=function(t,e,r){return{}},ri.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]]))},ri.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,i=n[0],a=n[1],o=ni(r,e,i),s=ni(r,e,a);if(o&&s){var l=this._aroundCenter?null:o.add(s).div(2);return this._move([o,s],l,t)}}},ri.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var i=this._firstTwoTouches,a=i[0],o=i[1],s=ni(n,e,a),l=ni(n,e,o);s&&l||(this._active&&r.suppressClick(),this.reset())}},ri.prototype.touchcancel=function(){this.reset()},ri.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around},ri.prototype.disable=function(){this._enabled=!1,this.reset()},ri.prototype.isEnabled=function(){return this._enabled},ri.prototype.isActive=function(){return this._active};function ii(t,e){return Math.log(t/e)/Math.LN2}var ai=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(ii(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:ii(this._distance,r),pinchAround:e}},e}(ri);function oi(t,e){return 180*t.angleWith(e)/Math.PI}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._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:oi(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=oi(t,this._startVector);return Math.abs(r)<e},e}(ri);function li(t){return Math.abs(t.y)>Math.abs(t.x)}var ui=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,li(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 li(t)&&li(e)&&a}},e}(ri),ci={panStep:100,bearingStep:15,pitchStep:10},fi=function(){var t=ci;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep};function hi(t){return t*(2-t)}fi.prototype.reset=function(){this._active=!1},fi.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{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:\"keyboardHandler\",easing:hi,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})}}}},fi.prototype.enable=function(){this._enabled=!0},fi.prototype.disable=function(){this._enabled=!1,this.reset()},fi.prototype.isEnabled=function(){return this._enabled},fi.prototype.isActive=function(){return this._active};var pi=4.000244140625,di=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=.0022222222222222222,t.bindAll([\"_onWheel\",\"_onTimeout\",\"_onScrollFrame\",\"_onScrollFinished\"],this)};di.prototype.setZoomRate=function(t){this._defaultZoomRate=t},di.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},di.prototype.isEnabled=function(){return!!this._enabled},di.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},di.prototype.isZooming=function(){return!!this._zooming},di.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},di.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},di.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%pi==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()}},di.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},di.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())}},di.prototype.renderFrame=function(){return this._onScrollFrame()},di.prototype._onScrollFrame=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)>pi?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,u=this._easing,c=!1;if(\"wheel\"===this._type&&l&&u){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=u(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):c=!0}else o=s,c=!0;return this._active=!0,c&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!c,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},di.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},di.prototype.reset=function(){this._active=!1};var vi=function(t,e){this._clickZoom=t,this._tapZoom=e};vi.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},vi.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},vi.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},vi.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var gi=function(){this.reset()};gi.prototype.reset=function(){this._active=!1},gi.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})}}},gi.prototype.enable=function(){this._enabled=!0},gi.prototype.disable=function(){this._enabled=!1,this.reset()},gi.prototype.isEnabled=function(){return this._enabled},gi.prototype.isActive=function(){return this._active};var yi=function(){this._tap=new Xn({numTouches:1,numTaps:1}),this.reset()};yi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},yi.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))},yi.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)},yi.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)},yi.prototype.touchcancel=function(){this.reset()},yi.prototype.enable=function(){this._enabled=!0},yi.prototype.disable=function(){this._enabled=!1,this.reset()},yi.prototype.isEnabled=function(){return this._enabled},yi.prototype.isActive=function(){return this._active};var mi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};mi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},mi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},mi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},mi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var xi=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};xi.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},xi.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},xi.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},xi.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var bi=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};bi.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\")},bi.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},bi.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},bi.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},bi.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},bi.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var _i=function(t){return t.zoom||t.drag||t.pitch||t.rotate},wi=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 Ti(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var ki=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Bn(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:!1}],[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],u=s[1],c=s[2];r.addEventListener(l,u,l===t.window.document?this.handleWindowEvent:this.handleEvent,c)}};ki.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)}},ki.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add(\"mapEvent\",new qn(e,t));var n=e.boxZoom=new Zn(e,t);this._add(\"boxZoom\",n);var i=new Jn,a=new gi;e.doubleClickZoom=new vi(a,i),this._add(\"tapZoom\",i),this._add(\"clickZoom\",a);var o=new yi;this._add(\"tapDragZoom\",o);var s=e.touchPitch=new ui;this._add(\"touchPitch\",s);var l=new Qn(t),u=new ti(t);e.dragRotate=new xi(t,l,u),this._add(\"mouseRotate\",l,[\"mousePitch\"]),this._add(\"mousePitch\",u,[\"mouseRotate\"]);var c=new $n(t),f=new ei(t);e.dragPan=new mi(r,c,f),this._add(\"mousePan\",c),this._add(\"touchPan\",f,[\"touchZoom\",\"touchRotate\"]);var h=new si,p=new ai;e.touchZoomRotate=new bi(r,p,h,o),this._add(\"touchRotate\",h,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",p,[\"touchPan\",\"touchRotate\"]);var d=e.scrollZoom=new di(e,this);this._add(\"scrollZoom\",d,[\"mousePan\"]);var v=e.keyboard=new fi;this._add(\"keyboard\",v),this._add(\"blockableMapEvent\",new Gn(e));for(var g=0,y=[\"boxZoom\",\"doubleClickZoom\",\"tapDragZoom\",\"touchPitch\",\"dragRotate\",\"dragPan\",\"touchZoomRotate\",\"scrollZoom\",\"keyboard\"];g<y.length;g+=1){var m=y[g];t.interactive&&t[m]&&e[m].enable(t[m])}},ki.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},ki.prototype.stop=function(){if(!this._updatingCamera){for(var t=0,e=this._handlers;t<e.length;t+=1)e[t].handler.reset();this._inertia.clear(),this._fireEvents({},{}),this._changes=[]}},ki.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1)if(e[t].handler.isActive())return!0;return!1},ki.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},ki.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},ki.prototype.isMoving=function(){return Boolean(_i(this._eventsInProgress))||this.isZooming()},ki.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},ki.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+\"Window\")},ki.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},ki.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),u=0,c=this._handlers;u<c.length;u+=1){var f=c[u],h=f.handlerName,p=f.handler,d=f.allowed;if(p.isEnabled()){var v=void 0;this._blockedByActive(o,d,h)?p.reset():p[e||t.type]&&(v=p[e||t.type](t,l,s),this.mergeHandlerResult(i,a,v,h,n),v&&v.needsRenderFrame&&this._triggerRenderFrame()),(v||p.isActive())&&(o[h]=p)}}var g={};for(var y in this._previousActiveHandlers)o[y]||(g[y]=n);this._previousActiveHandlers=o,(Object.keys(g).length||Ti(i))&&(this._changes.push([i,a,g]),this._triggerRenderFrame()),(Object.keys(o).length||Ti(i))&&this._map._stop(!0),this._updatingCamera=!1;var m=i.cameraAnimation;m&&(this._inertia.clear(),this._fireEvents({},{}),this._changes=[],m(this._map))}else this.stop()},ki.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)}},ki.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],u=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,u)}this._updateMapTransform(e,r,n),this._changes=[]},ki.prototype._updateMapTransform=function(t,e,r){var n=this._map,i=n.transform;if(!Ti(t))return this._fireEvents(e,r);var a=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,u=t.around,c=t.pinchAround;void 0!==c&&(u=c),n._stop(!0),u=u||n.transform.centerPoint;var f=i.pointLocation(a?u.sub(a):u);s&&(i.bearing+=s),l&&(i.pitch+=l),o&&(i.zoom+=o),i.setLocationAtPoint(f,u),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r)},ki.prototype._fireEvents=function(e,r){var n=this,i=_i(this._eventsInProgress),a=_i(e),o={};for(var s in e){var l=e[s].originalEvent;this._eventsInProgress[s]||(o[s+\"start\"]=l),this._eventsInProgress[s]=e[s]}for(var u in!i&&a&&this._fireEvent(\"movestart\",a.originalEvent),o)this._fireEvent(u,o[u]);for(var c in e.rotate&&(this._bearingChanged=!0),a&&this._fireEvent(\"move\",a.originalEvent),e){var f=e[c].originalEvent;this._fireEvent(c,f)}var h,p={};for(var d in this._eventsInProgress){var v=this._eventsInProgress[d],g=v.handlerName,y=v.originalEvent;this._handlersById[g].isActive()||(delete this._eventsInProgress[d],h=r[g]||y,p[d+\"end\"]=h)}for(var m in p)this._fireEvent(m,p[m]);var x=_i(this._eventsInProgress);if((i||a)&&!x){this._updatingCamera=!0;var b=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),_=function(t){return 0!==t&&-n._bearingSnap<t&&t<n._bearingSnap};b?(_(b.bearing||this._map.getBearing())&&(b.bearing=0),this._map.easeTo(b,{originalEvent:h})):(this._map.fire(new t.Event(\"moveend\",{originalEvent:h})),_(this._map.getBearing())&&this._map.resetNorth()),this._bearingChanged=!1,this._updatingCamera=!1}},ki.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},ki.prototype._triggerRenderFrame=function(){var t=this;void 0===this._frameId&&(this._frameId=this._map._requestRenderFrame((function(e){delete t._frameId,t.handleEvent(new wi(\"renderFrame\",{timeStamp:e})),t._applyChanges()})))};var Ai=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){return e=t.LngLatBounds.convert(e),this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),0,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,u=s.project(t.LngLat.convert(e)),c=s.project(t.LngLat.convert(r)),f=u.rotate(-n*Math.PI/180),h=c.rotate(-n*Math.PI/180),p=new t.Point(Math.max(f.x,h.x),Math.max(f.y,h.y)),d=new t.Point(Math.min(f.x,h.x),Math.min(f.y,h.y)),v=p.sub(d),g=(s.width-(l.left+l.right+i.padding.left+i.padding.right))/v.x,y=(s.height-(l.top+l.bottom+i.padding.top+i.padding.bottom))/v.y;if(!(y<0||g<0)){var m=Math.min(s.scaleZoom(s.scale*Math.min(g,y)),i.maxZoom),x=t.Point.convert(i.offset),b=(i.padding.left-i.padding.right)/2,_=(i.padding.top-i.padding.bottom)/2,w=new t.Point(x.x+b,x.y+_).mult(s.scale/s.zoomScale(m));return{center:s.unproject(u.add(c).div(2).sub(w)),zoom:m,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(),u=\"zoom\"in e?+e.zoom:a,c=\"bearing\"in e?this._normalizeBearing(e.bearing,o):o,f=\"pitch\"in e?+e.pitch:s,h=\"padding\"in e?e.padding:i.padding,p=t.Point.convert(e.offset),d=i.centerPoint.add(p),v=i.pointLocation(d),g=t.LngLat.convert(e.center||v);this._normalizeCenter(g);var y,m,x=i.project(v),b=i.project(g).sub(x),_=i.zoomScale(u-a);e.around&&(y=t.LngLat.convert(e.around),m=i.locationPoint(y));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||u!==a,this._rotating=this._rotating||o!==c,this._pitching=this._pitching||f!==s,this._padding=!i.isPaddingEqual(h),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),clearTimeout(this._easeEndTimeoutID),this._ease((function(e){if(n._zooming&&(i.zoom=t.number(a,u,e)),n._rotating&&(i.bearing=t.number(o,c,e)),n._pitching&&(i.pitch=t.number(s,f,e)),n._padding&&(i.interpolatePadding(l,h,e),d=i.centerPoint.add(p)),y)i.setLocationAtPoint(y,m);else{var v=i.zoomScale(i.zoom-a),g=u>a?Math.min(2,_):Math.max(.5,_),w=Math.pow(g,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(v));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(),u=this.getPadding(),c=\"zoom\"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f=\"bearing\"in e?this._normalizeBearing(e.bearing,s):s,h=\"pitch\"in e?+e.pitch:l,p=\"padding\"in e?e.padding:a.padding,d=a.zoomScale(c-o),v=t.Point.convert(e.offset),g=a.centerPoint.add(v),y=a.pointLocation(g),m=t.LngLat.convert(e.center||y);this._normalizeCenter(m);var x=a.project(y),b=a.project(m).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if(\"minZoom\"in e){var A=t.clamp(Math.min(e.minZoom,o,c),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);_=Math.sqrt(M/k*2)}var S=_*_;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 L(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),O=function(t){return C(P)/C(P+_*t)},I=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/k;var e},D=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(D)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var z=T<w?-1:1;D=Math.abs(Math.log(T/w))/_,I=function(){return 0},O=function(t){return Math.exp(z*_*t)}}if(\"duration\"in e)e.duration=+e.duration;else{var R=\"screenSpeed\"in e?+e.screenSpeed/_:+e.speed;e.duration=1e3*D/R}return e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*D,d=1/O(i);a.zoom=1===e?c:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(u,p,e),g=a.centerPoint.add(v));var y=1===e?m:a.unproject(x.add(b.mult(I(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()}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),Mi=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};Mi.prototype.getDefaultPosition=function(){return\"bottom-right\"},Mi.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._innerContainer=r.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),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},Mi.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},Mi.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\"}},Mi.prototype._updateData=function(t){!t||\"metadata\"!==t.sourceDataType&&\"style\"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},Mi.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)}},Mi.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\")};var Si=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};Si.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},Si.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},Si.prototype.getDefaultPosition=function(){return\"bottom-left\"},Si.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},Si.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}},Si.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 Ei=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};Ei.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},Ei.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)}},Ei.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},Ei.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Li={\"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\"},Ci=t.window.HTMLImageElement,Pi=t.window.HTMLElement,Oi=t.window.ImageBitmap,Ii=60,Di={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:Ii,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},zi=function(n){function i(e){var r=this;if(null!=(e=t.extend({},Di,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>Ii)throw new Error(\"maxPitch must be less than or equal to 60\");var i=new Cn(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 Ei,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Li,e.locale),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 Pi))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\",\"_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)),this.handlers=new ki(this,e);var a=\"string\"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new On(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 Mi({customAttribution:e.customAttribution})),this.addControl(new Si,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&&e.getDefaultPosition&&(r=e.getDefaultPosition()),void 0===r&&(r=\"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.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?Ii:t)>Ii)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 Un(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 Un(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Un(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 Ye(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 Ye(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 Ci||Oi&&r instanceof Oi){var u=t.browser.getImageData(r),c=u.width,f=u.height,h=u.data;this.style.addImage(e,{data:new t.RGBAImage({width:c,height:f},h),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,v=r.data,g=r;this.style.addImage(e,{data:new t.RGBAImage({width:p,height:d},new Uint8Array(v)),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 Ci||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 Ci||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\");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)}))},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 Mn(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.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 u=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),c=u.crossFadingFactor();1===c&&c===this._crossFadingFactor||(o=!0,this._crossFadingFactor=c),this.style.update(u)}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 f=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:f,gpuTime:e}))}),50)}if(this.listens(\"gpu-timing-layer\")){var h=this.painter.collectGpuTimers();setTimeout((function(){var e=n.painter.queryGpuTimers(h);n.fire(new t.Event(\"gpu-timing-layer\",{layerTimes:e}))}),50)}return this._sourcesDirty||this._styleDirty||this._placementDirty||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&(this._fullyLoaded||(this._fullyLoaded=!0),this.fire(new t.Event(\"idle\"))),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(\"online\",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");n&&n.loseContext(),Ri(this._canvasContainer),Ri(this._controlContainer),Ri(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}(Ai);function Ri(t){t.parentNode&&t.parentNode.removeChild(t)}var Fi={showCompass:!0,showZoom:!0,visualizePitch:!1},Bi=function(e){var n=this;this.options=t.extend({},Fi,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))};Bi.prototype._updateZoomButtons=function(){var t=this._map.getZoom();this._zoomInButton.disabled=t===this._map.getMaxZoom(),this._zoomOutButton.disabled=t===this._map.getMinZoom()},Bi.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},Bi.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 Ni(this._map,this._compass,this.options.visualizePitch)),this._container},Bi.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},Bi.prototype._createButton=function(t,e){var n=r.create(\"button\",t,this._container);return n.type=\"button\",n.addEventListener(\"click\",e),n},Bi.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString(\"NavigationControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)};var Ni=function(e,n,i){void 0===i&&(i=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new Qn({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,i&&(this.mousePitch=new ti({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 ji(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}Ni.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ni.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)}},Ni.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()},Ni.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\"mousemove\",this.mousemove),r.removeEventListener(t.window,\"mouseup\",this.mouseup)},Ni.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)},Ni.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ni.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ni.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))},Ni.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))},Ni.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ni.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var Ui={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 Vi(t,e,r){var n=t.classList;for(var i in Ui)n.remove(\"mapboxgl-\"+r+\"-anchor-\"+i);n.add(\"mapboxgl-\"+r+\"-anchor-\"+e)}var Hi,qi=function(e){function n(n,i){var a=this;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._draggable=n&&n.draggable||!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 o=r.createNS(\"http://www.w3.org/2000/svg\",\"svg\");o.setAttributeNS(null,\"display\",\"block\"),o.setAttributeNS(null,\"height\",\"41px\"),o.setAttributeNS(null,\"width\",\"27px\"),o.setAttributeNS(null,\"viewBox\",\"0 0 27 41\");var s=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");s.setAttributeNS(null,\"stroke\",\"none\"),s.setAttributeNS(null,\"stroke-width\",\"1\"),s.setAttributeNS(null,\"fill\",\"none\"),s.setAttributeNS(null,\"fill-rule\",\"evenodd\");var l=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");l.setAttributeNS(null,\"fill-rule\",\"nonzero\");var u=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");u.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),u.setAttributeNS(null,\"fill\",\"#000000\");for(var c=0,f=[{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<f.length;c+=1){var h=f[c],p=r.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");p.setAttributeNS(null,\"opacity\",\"0.04\"),p.setAttributeNS(null,\"cx\",\"10.5\"),p.setAttributeNS(null,\"cy\",\"5.80029008\"),p.setAttributeNS(null,\"rx\",h.rx),p.setAttributeNS(null,\"ry\",h.ry),u.appendChild(p)}var d=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");d.setAttributeNS(null,\"fill\",this._color);var v=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");v.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\"),d.appendChild(v);var g=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");g.setAttributeNS(null,\"opacity\",\"0.25\"),g.setAttributeNS(null,\"fill\",\"#000000\");var y=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");y.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\"),g.appendChild(y);var m=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");m.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),m.setAttributeNS(null,\"fill\",\"#FFFFFF\");var x=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");x.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");var b=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");b.setAttributeNS(null,\"fill\",\"#000000\"),b.setAttributeNS(null,\"opacity\",\"0.25\"),b.setAttributeNS(null,\"cx\",\"5.5\"),b.setAttributeNS(null,\"cy\",\"5.5\"),b.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\"),x.appendChild(b),x.appendChild(_),l.appendChild(u),l.appendChild(d),l.appendChild(g),l.appendChild(m),l.appendChild(x),o.appendChild(l),this._element.appendChild(o),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()})),this._element.addEventListener(\"focus\",(function(){var t=a._map.getContainer();t.scrollTop=0,t.scrollLeft=0})),Vi(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=ji(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,Ui[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){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._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._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),Gi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Zi=0,Yi=!1,Wi=function(e){function n(r){e.call(this),this.options=t.extend({},Gi,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!==Hi?n(Hi):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:\"geolocation\"}).then((function(t){Hi=\"denied\"!==t.state,n(Hi)})):(Hi=!!t.window.navigator.geolocation,n(Hi)),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,Zi=0,Yi=!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&&Yi)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 qi(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new qi({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\":Zi--,Yi=!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\"),++Zi>1?(e={maximumAge:6e5,timeout:0},Yi=!0):(e=this.options.positionOptions,Yi=!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),Xi={maxWidth:100,unit:\"metric\"},Ji=function(e){this.options=t.extend({},Xi,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function Ki(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?$i(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\")):$i(e,n,l,t._getUIString(\"ScaleControl.Feet\"))}else r&&\"nautical\"===r.unit?$i(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\")):s>=1e3?$i(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):$i(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function $i(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}Ji.prototype.getDefaultPosition=function(){return\"bottom-left\"},Ji.prototype._onMove=function(){Ki(this._map,this._container,this.options)},Ji.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},Ji.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},Ji.prototype.setUnit=function(t){this.options.unit=t,Ki(this._map,this._container,this.options)};var Qi=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\")};Qi.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},Qi.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},Qi.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},Qi.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)},Qi.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},Qi.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},Qi.prototype._isFullscreen=function(){return this._fullscreen},Qi.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())},Qi.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 ta={closeButton:!0,closeOnClick:!0,className:\"\",maxWidth:\"240px\"},ea=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(ta),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._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){return this._createContent(),this._content.appendChild(t),this._update(),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.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createContent=function(){this._content&&r.remove(this._content),this._content=r.create(\"div\",\"mapboxgl-popup-content\",this._container),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=ji(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=ra(this.options.offset);if(!a){var s,l=this._container.offsetWidth,u=this._container.offsetHeight;s=i.y+o.bottom.y<u?[\"top\"]:i.y>this._map.transform.height-u?[\"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 c=i.add(o[a]).round();r.setTransform(this._container,Ui[a]+\" translate(\"+c.x+\"px,\"+c.y+\"px)\"),Vi(this._container,a,\"popup\")}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);function ra(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 ra(new t.Point(0,0))}var na={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:zi,NavigationControl:Bi,GeolocateControl:Wi,AttributionControl:Mi,ScaleControl:Ji,FullscreenControl:Qi,Popup:ea,Marker:qi,Style:Ye,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. 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e=[u(t.region,!1)];c.push(e);for(var r=0;r<t.children.length;r++)e.push(h(t.children[r]))}function h(t){for(var e=0;e<t.children.length;e++)f(t.children[e]);return u(t.region,!0)}for(s=0;s<a.children.length;s++)f(a.children[s]);return c.length<=0?{type:\"Polygon\",coordinates:[]}:1==c.length?{type:\"Polygon\",coordinates:c[0]}:{type:\"MultiPolygon\",coordinates:c}}};t.exports=e},87263:function(t,e,r){var n=r(26859);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,u=n.other.pt,(0!==(c=e.pointsCompare(a,l))?c:e.pointsSame(o,u)?0:i!==s?i?1:-1:e.pointAboveOrOnLine(o,s?l:u,s?u:l)?1:-1)<0;var i,a,o,s,l,u,c}))}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 u(i,o){var s=n.create();function u(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 c(t,n){var i=t.seg,a=n.seg,o=i.start,s=i.end,u=a.start,c=a.end;r&&r.checkIntersection(i,a);var f=e.linesIntersect(o,s,u,c);if(!1===f){if(!e.pointsCollinear(o,s,u))return!1;if(e.pointsSame(o,c)||e.pointsSame(s,u))return!1;var h=e.pointsSame(o,u),p=e.pointsSame(s,c);if(h&&p)return n;var d=!h&&e.pointBetween(o,u,c),v=!p&&e.pointBetween(s,u,c);if(h)return v?l(n,s):l(t,c),n;d&&(p||(v?l(n,s):l(t,c)),l(n,o))}else 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a=n[t],o=n[i],s=a[a.length-1],l=a[a.length-2],u=o[0],c=o[1];e.pointsCollinear(l,s,u)&&(r&&r.chainRemoveTail(t,s),a.pop(),s=l),e.pointsCollinear(s,u,c)&&(r&&r.chainRemoveHead(i,u),o.shift()),r&&r.chainJoin(t,i),n[t]=a.concat(o),n.splice(i,1)}})),i}},55968: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},14847:function(t,e,r){\"use 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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(b.groups=x=t.map((function(t,u){var c=x[u];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\"}),c||(x[u]=c={id:u,scale:null,translate:null,scaleFract:null,translateFract:null,draw:!0},t=s({},m,t)),a(c,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=f(e.scale),e.translateFract=f(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}}]),c):c})),e||r){var h=x.reduce((function(t,e,r){return t+(e?e.count:0)}),0),g=new Float64Array(2*h),_=new Uint8Array(4*h),w=new Float32Array(4*h);x.forEach((function(t,e){if(t){var r=t.positions,n=t.count,i=t.offset,a=t.color,o=t.errors;n&&(_.set(a,4*i),w.set(o,4*i),g.set(r,2*i))}}));var T=c(g);u(T);var k=f(g,T);p(k),d(_),v(w)}}}function k(){u.destroy(),p.destroy(),d.destroy(),v.destroy(),g.destroy()}};var h=[[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]]},46075:function(t,e,r){\"use strict\";var n=r(25075),i=r(21527),a=r(56131),o=r(56068),s=r(71299),l=r(30120),u=r(11474),c=r(54),f=r(57060),h=f.float32,p=f.fract32,d=r(83522),v=r(18863),g=r(6851);function y(t,e){if(!(this instanceof y))return new y(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=y.shaders.has(t)?y.shaders.get(t):y.shaders.set(t,y.createShaders(t)).get(t),this.update(e)}t.exports=y,y.dashMult=2,y.maxPatternLength=256,y.precisionThreshold=3e6,y.maxPoints=1e4,y.maxLines=2048,y.shaders=new d,y.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:o([\"precision highp float;\\n#define GLSLIFY 1\\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:o([\"precision highp float;\\n#define GLSLIFY 1\\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:o([\"precision highp float;\\n#define GLSLIFY 1\\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\\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:o([\"precision highp float;\\n#define GLSLIFY 1\\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 * 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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:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n\\tgl_FragColor = 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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>y.precisionThreshold||e.scale[1]*e.viewport.height>y.precisionThreshold||\"rect\"===e.join||!e.join&&(e.thickness<=2||e.count>=y.maxPoints)?t.shaders.rect(e):t.shaders.miter(e)))})),this},y.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,o=this.gl;if(t.forEach((function(t,f){var d=e.passes[f];if(void 0!==t)if(null!==t){if(\"number\"==typeof t[0]&&(t={positions:t}),t=s(t,{positions:\"positions points data coords\",thickness:\"thickness lineWidth lineWidths line-width linewidth width stroke-width strokewidth strokeWidth\",join:\"lineJoin linejoin 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Uint8Array})},t=a({},y.defaults,t)),null!=t.thickness&&(d.thickness=parseFloat(t.thickness)),null!=t.opacity&&(d.opacity=parseFloat(t.opacity)),null!=t.miterLimit&&(d.miterLimit=parseFloat(t.miterLimit)),null!=t.overlay&&(d.overlay=!!t.overlay,f<y.maxLines&&(d.depth=2*(y.maxLines-1-f%y.maxLines)/y.maxLines-1)),null!=t.join&&(d.join=t.join),null!=t.hole&&(d.hole=t.hole),null!=t.fill&&(d.fill=t.fill?n(t.fill,\"uint8\"):null),null!=t.viewport&&(d.viewport=v(t.viewport)),d.viewport||(d.viewport=v([o.drawingBufferWidth,o.drawingBufferHeight])),null!=t.close&&(d.close=t.close),null===t.positions&&(t.positions=[]),t.positions){var m,x;if(t.positions.x&&t.positions.y){var b=t.positions.x,_=t.positions.y;x=d.count=Math.max(b.length,_.length),m=new Float64Array(2*x);for(var w=0;w<x;w++)m[2*w]=b[w],m[2*w+1]=_[w]}else m=l(t.positions,\"float64\"),x=d.count=Math.floor(m.length/2);var T=d.bounds=i(m,2);if(d.fill){for(var k=[],A={},M=0,S=0,E=0,L=d.count;S<L;S++){var C=m[2*S],P=m[2*S+1];isNaN(C)||isNaN(P)||null==C||null==P?(C=m[2*M],P=m[2*M+1],A[S]=M):M=S,k[E++]=C,k[E++]=P}if(t.splitNull){d.count-1 in A||(A[d.count]=d.count-1);var O=Object.keys(A).map(Number).sort((function(t,e){return t-e})),I=[],D=0,z=null!=d.hole?d.hole[0]:null;if(null!=z){var R=g(O,(function(t){return t>=z}));(O=O.slice(0,R)).push(z)}for(var F=function(t){var e=k.slice(2*D,2*O[t]).concat(z?k.slice(2*z):[]),r=(d.hole||[]).map((function(e){return e-z+(O[t]-D)})),n=u(e,r);n=n.map((function(e){return e+D+(e+D<O[t]?0:z-O[t])})),I.push.apply(I,n),D=O[t]+1},B=0;B<O.length;B++)F(B);for(var N=0,j=I.length;N<j;N++)null!=A[I[N]]&&(I[N]=A[I[N]]);d.triangles=I}else{for(var U=u(k,d.hole||[]),V=0,H=U.length;V<H;V++)null!=A[U[V]]&&(U[V]=A[U[V]]);d.triangles=U}}var q=new Float64Array(m);c(q,2,T);var G=new Float64Array(2*x+6);d.close?m[0]===m[2*x-2]&&m[1]===m[2*x-1]?(G[0]=q[2*x-4],G[1]=q[2*x-3]):(G[0]=q[2*x-2],G[1]=q[2*x-1]):(G[0]=q[0],G[1]=q[1]),G.set(q,2),d.close?m[0]===m[2*x-2]&&m[1]===m[2*x-1]?(G[2*x+2]=q[2],G[2*x+3]=q[3],d.count-=1):(G[2*x+2]=q[0],G[2*x+3]=q[1],G[2*x+4]=q[2],G[2*x+5]=q[3]):(G[2*x+2]=q[2*x-2],G[2*x+3]=q[2*x-1],G[2*x+4]=q[2*x-2],G[2*x+5]=q[2*x-1]);var Z=h(G);d.positionBuffer(Z);var Y=p(G,Z);d.positionFractBuffer(Y)}if(t.range?d.range=t.range:d.range||(d.range=d.bounds),(t.range||t.positions)&&d.count){var W=d.bounds,X=W[2]-W[0],J=W[3]-W[1],K=d.range[2]-d.range[0],$=d.range[3]-d.range[1];d.scale=[X/K,J/$],d.translate=[-d.range[0]/K+W[0]/K||0,-d.range[1]/$+W[1]/$||0],d.scaleFract=p(d.scale),d.translateFract=p(d.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*y.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]*y.dashMult*.5;ot<st;++ot)Q[rt++]=nt;nt^=255}}d.dashLength=tt,d.dashTexture({channels:1,data:Q,width:Q.length,height:1,mag:\"linear\",min:\"linear\"},0,0)}if(t.color){var lt=d.count,ut=t.color;ut||(ut=\"transparent\");var ct=new Uint8Array(4*lt+4);if(Array.isArray(ut)&&\"number\"!=typeof ut[0]){for(var ft=0;ft<lt;ft++){var ht=n(ut[ft],\"uint8\");ct.set(ht,4*ft)}ct.set(n(ut[0],\"uint8\"),4*lt)}else for(var pt=n(ut,\"uint8\"),dt=0;dt<lt+1;dt++)ct.set(pt,4*dt);d.colorBuffer({usage:\"dynamic\",type:\"uint8\",data:ct})}}else e.passes[f]=null})),t.length<this.passes.length){for(var f=t.length;f<this.passes.length;f++){var d=this.passes[f];d&&(d.colorBuffer.destroy(),d.positionBuffer.destroy(),d.dashTexture.destroy())}this.passes.length=t.length}for(var m=[],x=0;x<this.passes.length;x++)null!==this.passes[x]&&m.push(this.passes[x]);return this.passes=m,this}},y.prototype.destroy=function(){return this.passes.forEach((function(t){t.colorBuffer.destroy(),t.positionBuffer.destroy(),t.dashTexture.destroy()})),this.passes.length=0,this}},11870: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,u=!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){u=!0,i=t}finally{try{if(!l&&null!=r.return&&(o=r.return(),Object(o)!==o))return}finally{if(u)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(25075),s=r(21527),l=r(6475),u=r(88294),c=r(56131),f=r(56068),h=r(71299),p=r(93447),d=r(30120),v=r(62683),g=r(57060),y=r(18863),m=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=v,n=t.texture({data:new Uint8Array(1020),width:255,height:1,type:\"uint8\",format:\"rgba\",wrapS:\"clamp\",wrapT:\"clamp\",mag:\"nearest\",min:\"nearest\"}),c(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=c({},o);s.frag=f([\"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=f([\"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\\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}\"]),this.drawMarker=t(s);var l=c({},o);l.frag=f([\"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=f([\"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\\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\"]),v&&(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,u=e.count;if(this.regl,!a)return r?[c({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[c({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var f=[],h=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(u),v=0;v<r.length;v++){var g=r[v];d[g]=p?p[g]:1}l.subdata(d)}for(var y=h.length;y--;){var m=n(h[y],2),x=m[0],b=m[1];f.push(c({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:b-x}))}return f},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,f=this.maxColors,v=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=h(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=c({},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 m=0,b=0;if(p(n,e,[{snap:!0,size:function(t,e){return null==t&&(t=x.defaults.size),m+=t&&t.length?1:0,t},borderSize:function(t,e){return null==t&&(t=x.defaults.borderSize),m+=t&&t.length?1:0,t},opacity:parseFloat,color:function(e,r){return null==e&&(e=x.defaults.color),e=t.updateColor(e),b++,e},borderColor:function(e,r){return null==e&&(e=x.defaults.borderColor),e=t.updateColor(e),b++,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 c=e.count=Math.floor(t.length/2),f=e.bounds=c?s(t,2):null;if(r.range||e.range||(delete e.range,r.range=f),r.marker||e.marker||(delete e.marker,r.marker=null),n&&(!0===n||c>n)?e.tree=u(t,{bounds:f}):n&&n.length&&(e.tree=n),e.tree){var h={primitive:\"points\",usage:\"static\",data:e.tree,type:\"uint32\"};e.elements?e.elements(h):e.elements=o.elements(h)}var p=g.float32(t);return i({data:p,usage:\"dynamic\"}),a({data:g.fract32(t,p),usage:\"dynamic\"}),l({data:new Uint8Array(c),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 u=t.addMarker(e[s]);a[u]||(a[u]=new Uint8Array(r.count)),a[u][s]=1}for(var c=0;c<a.length;c++)if(a[c]){var f={data:a[c],type:\"uint8\",usage:\"static\"};i[c]?i[c](f):i[c]=o.buffer(f),i[c].data=a[c]}}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])}}]),m){var _=n,w=_.count,T=_.size,k=_.borderSize,A=_.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(b){var E,L=n,C=L.count,P=L.color,O=L.borderColor,I=L.colorBuffer;if(t.tooManyColors){if(P.length||O.length){E=new Uint8Array(8*C);for(var D=0;D<C;D++){var z=P[D];E[8*D]=v[4*z],E[8*D+1]=v[4*z+1],E[8*D+2]=v[4*z+2],E[8*D+3]=v[4*z+3];var R=O[D];E[8*D+4]=v[4*R],E[8*D+5]=v[4*R+1],E[8*D+6]=v[4*R+2],E[8*D+7]=v[4*R+3]}}}else if(P.length||O.length){E=new Uint8Array(4*C+2);for(var F=0;F<C;F++)null!=P[F]&&(E[4*F]=P[F]%f,E[4*F+1]=Math.floor(P[F]/f)),null!=O[F]&&(E[4*F+2]=O[F]%f,E[4*F+3]=Math.floor(O[F]/f))}I({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 u=0;u<t.length;u+=4)a.push(t.subarray(u,u+4));t=a}for(var c=0;c<t.length;c++){var f=t[c];f=o(f,\"uint8\");var h=l(f,!1);if(null==e[h]){var p=r.length;e[h]=Math.floor(p/4),r[p]=f[0],r[p+1]=f[1],r[p+2]=f[2],r[p+3]=f[3]}i[c]=e[h]}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 b=r(56131);t.exports=function(t,e){var r=new m(t,e),n=r.render.bind(r);return b(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}},60487:function(t,e,r){\"use strict\";var n=r(11870),i=r(71299),a=r(21527),o=r(5877),s=r(57471),l=r(18863),u=r(30120);function c(t,e){if(!(this instanceof c))return new c(t,e);this.traces=[],this.passes={},this.regl=t,this.scatter=n(t),this.canvas=this.scatter.canvas}function f(t,e,r){return(null!=t.id?t.id:t)<<16|(255&e)<<8|255&r}function h(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=c,c.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)},c.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,u=0;u<l.length;u++)i.push(this.passes[l[u]]);s.passOffset=a,a+=s.passes.length}return(t=this.scatter).update.apply(t,i),this}},c.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 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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(u(o.data)),s.columns=o.data.length,s.count=o.data[0].length,s.bounds=[];for(var c=0;c<s.columns;c++)s.bounds[c]=a(o.data[c],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 v=s.columns,g=s.count,y=s.viewport.width,m=s.viewport.height,x=s.viewport.x,b=s.viewport.y,_=y/v,w=m/v;s.passes=[];for(var T=0;T<v;T++)for(var k=0;k<v;k++)if((s.diagonal||k!==T)&&(s.upper||!(T>k))&&(s.lower||!(T<k))){var A=f(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:v},y:{buffer:s.buffer,offset:T,count:g,stride:v}}:M.positions={x:{buffer:s.buffer,offset:k*g,count:g},y:{buffer:s.buffer,offset:T*g,count:g}},M.bounds=h(s.bounds,T,k)),o.domain||o.viewport||o.data){var S=d?h(s.padding,T,k):s.padding;if(s.domain){var E=h(s.domain,T,k),L=E[0],C=E[1],P=E[2],O=E[3];M.viewport=[x+L*y+S[0],b+C*m+S[1],x+P*y-S[2],b+O*m-S[3]]}else M.viewport=[x+k*_+_*S[0],b+T*w+w*S[1],x+(k+1)*_-_*S[2],b+(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?h(s.range,T,k):s.range||M.bounds),s.passes.push(A)}return this},c.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 u=e[i],c=this.traces[i],f=c.passes,h=c.passOffset;f=f.map((function(t,e){n[h+e]=u}))}(t=this.scatter).draw.apply(t,n)}else this.scatter.draw();return this},c.prototype.destroy=function(){return this.traces.forEach((function(t){t.buffer&&t.buffer.destroy&&t.buffer.destroy()})),this.traces=null,this.passes=null,this.scatter.destroy(),this}},98580:function(t){t.exports=function(){function t(t,e){this.id=Z++,this.type=t,this.data=e}function e(t){if(0===t.length)return[];var r=t.charAt(0),n=t.charAt(t.length-1);if(1<t.length&&r===n&&('\"'===r||\"'\"===r))return['\"'+t.substr(1,t.length-2).replace(/\\\\/g,\"\\\\\\\\\").replace(/\"/g,'\\\\\"')+'\"'];if(r=/\\[(false|true|null|\\d+|'[^']*'|\"[^\"]*\")\\]/.exec(t))return e(t.substr(0,r.index)).concat(e(r[1])).concat(e(t.substr(r.index+r[0].length)));if(1===(r=t.split(\".\")).length)return['\"'+t.replace(/\\\\/g,\"\\\\\\\\\").replace(/\"/g,'\\\\\"')+'\"'];for(t=[],n=0;n<r.length;++n)t=t.concat(e(r[n]));return t}function r(t){return\"[\"+e(t).join(\"][\")+\"]\"}function n(t){return\"string\"==typeof t?t.split():t}function i(t){return\"string\"==typeof t?document.querySelector(t):t}function a(t){var e,r,a,o,s=t||{};t={};var 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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},37715:function(t,e,r){var n=r(63489),i=r(56131);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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n=r(56131);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(u.local.invalidDate||u.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(u.local.invalidDate||u.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(u.local.differentCalendars||u.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,u.local.invalidDate||u.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,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,u.local.invalidMonth||u.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,u.local.invalidMonth||u.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.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,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,u.local.invalidDate||u.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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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,u.local.invalidMonth||u.regionalOptions[\"\"].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 n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate);t=n.year(),e=n.month(),r=n.day(),t<0&&t++,e<3&&(e+=12,t--);var i=Math.floor(t/100),a=2-i+Math.floor(i/4);return Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r+a-1524.5},fromJD:function(t){var e=Math.floor(t+.5),r=Math.floor((e-1867216.25)/36524.25),n=1524+(r=e+1+r-Math.floor(r/4)),i=Math.floor((n-122.1)/365.25),a=Math.floor(365.25*i),o=Math.floor((n-a)/30.6001),s=n-a-Math.floor(30.6001*o),l=o-(o>13.5?13:1),u=i-(l>2.5?4716:4715);return u<=0&&u--,this.newDate(u,l,s)},toJSDate:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),i=new Date(n.year(),n.month()-1,n.day());return i.setHours(0),i.setMinutes(0),i.setSeconds(0),i.setMilliseconds(0),i.setHours(i.getHours()>12?i.getHours()+2:0),i},fromJSDate:function(t){return this.newDate(t.getFullYear(),t.getMonth()+1,t.getDate())}});var u=t.exports=new i;u.cdate=a,u.baseCalendar=s,u.calendars.gregorian=l},94338:function(t,e,r){var n=r(56131),i=r(63489);n(i.regionalOptions[\"\"],{invalidArguments:\"Invalid arguments\",invalidFormat:\"Cannot format a date from another calendar\",missingNumberAt:\"Missing number at position {0}\",unknownNameAt:\"Unknown name at position {0}\",unexpectedLiteralAt:\"Unexpected literal at position {0}\",unexpectedText:\"Additional text found at end\"}),i.local=i.regionalOptions[\"\"],n(i.cdate.prototype,{formatDate:function(t,e){return\"string\"!=typeof 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       "                        }).then(function(){\n",
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       "        var display = window.getComputedStyle(gd).display;\n",
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       "            Plotly.purge(gd);\n",
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       "\n",
       "// Listen for the removal of the full notebook cells\n",
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ft.animate_foragers(\n",
    "    hungry_sim, width=600, height=400, plot_rewards=True, plot_traces=True, point_size=6\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Derived quantities"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2024-10-28 14:01:31,635 - proximity completed in 0.29 seconds.\n",
      "2024-10-28 14:01:32,257 - food completed in 0.62 seconds.\n",
      "2024-10-28 14:01:32,361 - access completed in 0.10 seconds.\n",
      "2024-10-28 14:01:32,509 - nextStep_linear completed in 0.15 seconds.\n",
      "2024-10-28 14:01:32,590 - nextStep_sublinear completed in 0.08 seconds.\n",
      "/Users/emily/code/collaborative-intelligence/collab/foraging/toolkit/derive.py:56: UserWarning:\n",
      "\n",
      "\n",
      "                      Dropped 821/43128 frames from `derivedDF` due to NaN values.\n",
      "                      Missing values can arise when computations depend on next/previous step positions\n",
      "                      that are unavailable. See documentation of the corresponding predictor/score generating\n",
      "                      functions for more information.\n",
      "                      \n",
      "\n"
     ]
    }
   ],
   "source": [
    "# We'll use `proximity`, `food` and `access` predictors\n",
    "\n",
    "local_windows_kwargs = {\n",
    "    \"window_size\": 10,\n",
    "    \"sampling_fraction\": 1,\n",
    "    \"skip_incomplete_frames\": False,\n",
    "}\n",
    "\n",
    "predictor_kwargs = {\n",
    "    \"proximity\": {\n",
    "        \"interaction_length\": hungry_sim.grid_size / 3,\n",
    "        \"interaction_constraint\": None,\n",
    "        \"interaction_constraint_params\": {},\n",
    "        \"repulsion_radius\": 1.5,\n",
    "        \"optimal_distance\": 4,\n",
    "        \"proximity_decay\": 1,\n",
    "    },\n",
    "    \"food\": {\n",
    "        \"decay_factor\": 0.5,\n",
    "    },\n",
    "    \"access\": {\n",
    "        \"decay_factor\": 0.2,\n",
    "    },\n",
    "}\n",
    "\n",
    "score_kwargs = {\n",
    "    \"nextStep_linear\": {\"nonlinearity_exponent\": 1},\n",
    "    \"nextStep_sublinear\": {\"nonlinearity_exponent\": 0.5},\n",
    "}\n",
    "\n",
    "derivedDF_hungry = ft.derive_predictors_and_scores(\n",
    "    hungry_sim,\n",
    "    local_windows_kwargs,\n",
    "    predictor_kwargs=predictor_kwargs,\n",
    "    score_kwargs=score_kwargs,\n",
    "    dropna=True,\n",
    "    add_scaled_values=True,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 8 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 8 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 8 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 8 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 8 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# visualize the spatial distributions of the derived quantities for each forager\n",
    "\n",
    "for derived_quantity_name in hungry_sim.derived_quantities.keys():\n",
    "    ft.plot_predictor(\n",
    "        hungry_sim.foragers,\n",
    "        hungry_sim.derived_quantities[derived_quantity_name],\n",
    "        predictor_name=derived_quantity_name,\n",
    "        time=range(min(8, num_frames)),\n",
    "        grid_size=60,\n",
    "        size_multiplier=10,\n",
    "        random_state=99,\n",
    "        forager_position_indices=[0, 1, 2],\n",
    "        forager_predictor_indices=[0, 1, 2],\n",
    "    )\n",
    "    plt.suptitle(derived_quantity_name)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Inference"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2024-10-28 14:01:35,249 - Sample size: 42307\n",
      "2024-10-28 14:01:35,250 - Starting SVI inference with 1500 iterations.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[iteration 0001] loss: 158130.3125\n",
      "[iteration 0200] loss: 104908.4688\n",
      "[iteration 0400] loss: 103011.6641\n",
      "[iteration 0600] loss: 102709.2344\n",
      "[iteration 0800] loss: 102773.9375\n",
      "[iteration 1000] loss: 102669.6719\n",
      "[iteration 1200] loss: 102952.9688\n",
      "[iteration 1400] loss: 102743.9531\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2024-10-28 14:01:44,620 - SVI inference completed in 9.37 seconds.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Coefficient marginals:\n",
      "Site: weight_continuous_proximity_scaled_nextStep_sublinear\n",
      "       mean       std        5%       25%       50%      75%       95%\n",
      "0  0.062259  0.013569  0.039397  0.053392  0.062477  0.07096  0.085148 \n",
      "\n",
      "Site: weight_continuous_food_scaled_nextStep_sublinear\n",
      "      mean       std        5%       25%       50%       75%       95%\n",
      "0  0.67286  0.016578  0.645184  0.662119  0.672819  0.684356  0.700079 \n",
      "\n",
      "Site: weight_continuous_access_scaled_nextStep_sublinear\n",
      "       mean       std        5%       25%       50%       75%       95%\n",
      "0  0.514889  0.014533  0.489584  0.505649  0.515537  0.524791  0.538178 \n",
      "\n"
     ]
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1400x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# prepare the training data\n",
    "\n",
    "predictors = [\"proximity_scaled\", \"food_scaled\", \"access_scaled\"]\n",
    "outcome_vars = [\"nextStep_sublinear\"]\n",
    "\n",
    "\n",
    "predictor_tensors_hungry, outcome_tensor_hungry = ft.prep_data_for_inference(\n",
    "    hungry_sim, predictors, outcome_vars\n",
    ")\n",
    "\n",
    "# construct Pyro model\n",
    "model_sigmavar_hungry = ft.HeteroskedasticLinear(\n",
    "    predictor_tensors_hungry, outcome_tensor_hungry\n",
    ")\n",
    "\n",
    "# runs SVI to approximate the posterior and samples from it\n",
    "results_hungry = ft.get_samples(\n",
    "    model=model_sigmavar_hungry,\n",
    "    predictors=predictor_tensors_hungry,\n",
    "    outcome=outcome_tensor_hungry,\n",
    "    num_svi_iters=1500,\n",
    "    num_samples=1000,\n",
    ")\n",
    "\n",
    "selected_sites = [\n",
    "    key\n",
    "    for key in results_hungry[\"samples\"].keys()\n",
    "    if key.startswith(\"weight\") and not key.endswith(\"sigma\")\n",
    "]\n",
    "selected_samples = {key: results_hungry[\"samples\"][key] for key in selected_sites}\n",
    "\n",
    "ft.plot_coefs(\n",
    "    selected_samples, \"Hungry foragers\", nbins=120, ann_start_y=160, ann_break_y=50\n",
    ")\n",
    "\n",
    "\n",
    "# save the samples for future use\n",
    "with open(os.path.join(\"sim_data\", \"hungry_foragers_samples.dill\"), \"wb\") as f:\n",
    "    dill.dump(selected_samples, f)\n",
    "\n",
    "ft.evaluate_performance(\n",
    "    model=model_sigmavar_hungry,\n",
    "    guide=results_hungry[\"guide\"],\n",
    "    predictors=predictor_tensors_hungry,\n",
    "    outcome=outcome_tensor_hungry,\n",
    "    num_samples=1000,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As expected, both `access` and `food` are now significant in explaining the agent movements, while `proximity` has no effect."
   ]
  }
 ],
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