bipolaroid/show_histograms.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from editor.utils import compute_histogram\n",
    "from editor.training import  HistogramDataset\n",
    "from config import  DATA\n",
    "\n",
    "\n",
    "BINS = 32\n",
    "dataset = HistogramDataset(\n",
    "    DATA,\n",
    "    bin_count=BINS,\n",
    "    target_size=(128, 128)\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from editor.visualisation import display_images, plot_histograms_in_3d, plot_histograms_in_2d\n",
    "\n",
    "\n",
    "og = dataset.get_original_image(0)\n",
    "edit = dataset.get_edited_image(0, edit_idx=431)\n",
    "\n",
    "display_images({\n",
    "    \"Original\": og,\n",
    "    \"Edited\": edit\n",
    "})\n",
    "plot_histograms_in_2d({\n",
    "    \"Original\": compute_histogram(og, BINS),\n",
    "    \"Edited\": compute_histogram(edit, BINS),\n",
    "})\n",
    "None"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "        require.undef(\"plotly\");\n",
       "        define('plotly', function(require, exports, module) {\n",
       "            /**\n",
       "* plotly.js v2.12.1\n",
       "* Copyright 2012-2022, Plotly, Inc.\n",
       "* All rights reserved.\n",
       "* Licensed under the MIT license\n",
       "*/\n",
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       "/*!\n",
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       " * @author   Feross Aboukhadijeh <https://feross.org>\n",
       " * @license  MIT\n",
       " */\n",
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t[0]=s*(h*v-p*g)-f*(l*v-c*g)+m*(l*p-c*h),t[1]=-(n*(h*v-p*g)-f*(i*v-a*g)+m*(i*p-a*h)),t[2]=n*(l*v-c*g)-s*(i*v-a*g)+m*(i*c-a*l),t[3]=-(n*(l*p-c*h)-s*(i*p-a*h)+f*(i*c-a*l)),t[4]=-(o*(h*v-p*g)-u*(l*v-c*g)+d*(l*p-c*h)),t[5]=r*(h*v-p*g)-u*(i*v-a*g)+d*(i*p-a*h),t[6]=-(r*(l*v-c*g)-o*(i*v-a*g)+d*(i*c-a*l)),t[7]=r*(l*p-c*h)-o*(i*p-a*h)+u*(i*c-a*l),t[8]=o*(f*v-p*m)-u*(s*v-c*m)+d*(s*p-c*f),t[9]=-(r*(f*v-p*m)-u*(n*v-a*m)+d*(n*p-a*f)),t[10]=r*(s*v-c*m)-o*(n*v-a*m)+d*(n*c-a*s),t[11]=-(r*(s*p-c*f)-o*(n*p-a*f)+u*(n*c-a*s)),t[12]=-(o*(f*g-h*m)-u*(s*g-l*m)+d*(s*h-l*f)),t[13]=r*(f*g-h*m)-u*(n*g-i*m)+d*(n*h-i*f),t[14]=-(r*(s*g-l*m)-o*(n*g-i*m)+d*(n*l-i*s)),t[15]=r*(s*h-l*f)-o*(n*h-i*f)+u*(n*l-i*s),t}},{}],196:[function(t,e,r){e.exports=function(t){var e=new Float32Array(16);return 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t[0]=1-(p+m),t[1]=f+y,t[2]=h-v,t[3]=0,t[4]=f-y,t[5]=1-(u+m),t[6]=d+g,t[7]=0,t[8]=h+v,t[9]=d-g,t[10]=1-(u+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},{}],203:[function(t,e,r){e.exports=function(t,e){return t[0]=e[0],t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=e[1],t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=e[2],t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],204:[function(t,e,r){e.exports=function(t,e){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]=e[0],t[13]=e[1],t[14]=e[2],t[15]=1,t}},{}],205:[function(t,e,r){e.exports=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=n,t[6]=r,t[7]=0,t[8]=0,t[9]=-r,t[10]=n,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],206:[function(t,e,r){e.exports=function(t,e){var r=Math.sin(e),n=Math.cos(e);return 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n(t);f=m-_,h=g-w,p=v-T,d=1/Math.sqrt(f*f+h*h+p*p),a=x*(p*=d)-b*(h*=d),o=b*(f*=d)-y*p,s=y*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,c=p*a-f*s,u=f*o-h*a,(d=Math.sqrt(l*l+c*c+u*u))?(l*=d=1/d,c*=d,u*=d):(l=0,c=0,u=0);return t[0]=a,t[1]=l,t[2]=f,t[3]=0,t[4]=o,t[5]=c,t[6]=h,t[7]=0,t[8]=s,t[9]=u,t[10]=p,t[11]=0,t[12]=-(a*m+o*g+s*v),t[13]=-(l*m+c*g+u*v),t[14]=-(f*m+h*g+p*v),t[15]=1,t}},{\"./identity\":209}],213:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],m=e[12],g=e[13],v=e[14],y=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*f+w*m,t[1]=x*i+b*l+_*h+w*g,t[2]=x*a+b*c+_*p+w*v,t[3]=x*o+b*u+_*d+w*y,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*f+w*m,t[5]=x*i+b*l+_*h+w*g,t[6]=x*a+b*c+_*p+w*v,t[7]=x*o+b*u+_*d+w*y,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*f+w*m,t[9]=x*i+b*l+_*h+w*g,t[10]=x*a+b*c+_*p+w*v,t[11]=x*o+b*u+_*d+w*y,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*f+w*m,t[13]=x*i+b*l+_*h+w*g,t[14]=x*a+b*c+_*p+w*v,t[15]=x*o+b*u+_*d+w*y,t}},{}],214:[function(t,e,r){e.exports=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t}},{}],215:[function(t,e,r){e.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}},{}],216:[function(t,e,r){e.exports=function(t,e,r,n){var i=Math.tan(e.upDegrees*Math.PI/180),a=Math.tan(e.downDegrees*Math.PI/180),o=Math.tan(e.leftDegrees*Math.PI/180),s=Math.tan(e.rightDegrees*Math.PI/180),l=2/(o+s),c=2/(i+a);return t[0]=l,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=c,t[6]=0,t[7]=0,t[8]=-(o-s)*l*.5,t[9]=(i-a)*c*.5,t[10]=n/(r-n),t[11]=-1,t[12]=0,t[13]=0,t[14]=n*r/(r-n),t[15]=0,t}},{}],217:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,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);if(Math.abs(P)<1e-6)return null;E*=P=1/P,L*=P,C*=P,i=Math.sin(r),a=Math.cos(r),o=1-a,s=e[0],l=e[1],c=e[2],u=e[3],f=e[4],h=e[5],p=e[6],d=e[7],m=e[8],g=e[9],v=e[10],y=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+m*_,t[1]=l*x+h*b+g*_,t[2]=c*x+p*b+v*_,t[3]=u*x+d*b+y*_,t[4]=s*w+f*T+m*k,t[5]=l*w+h*T+g*k,t[6]=c*w+p*T+v*k,t[7]=u*w+d*T+y*k,t[8]=s*A+f*M+m*S,t[9]=l*A+h*M+g*S,t[10]=c*A+p*M+v*S,t[11]=u*A+d*M+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t}},{}],218:[function(t,e,r){e.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],c=e[8],u=e[9],f=e[10],h=e[11];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]);return t[4]=a*i+c*n,t[5]=o*i+u*n,t[6]=s*i+f*n,t[7]=l*i+h*n,t[8]=c*i-a*n,t[9]=u*i-o*n,t[10]=f*i-s*n,t[11]=h*i-l*n,t}},{}],219:[function(t,e,r){e.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],c=e[8],u=e[9],f=e[10],h=e[11];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]);return t[0]=a*i-c*n,t[1]=o*i-u*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+c*i,t[9]=o*n+u*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}},{}],220:[function(t,e,r){e.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],c=e[4],u=e[5],f=e[6],h=e[7];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]);return t[0]=a*i+c*n,t[1]=o*i+u*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=c*i-a*n,t[5]=u*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}},{}],221:[function(t,e,r){e.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}},{}],222:[function(t,e,r){e.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]+\")\"}},{}],223:[function(t,e,r){e.exports=function(t,e,r){var n,i,a,o,s,l,c,u,f,h,p,d,m=r[0],g=r[1],v=r[2];e===t?(t[12]=e[0]*m+e[4]*g+e[8]*v+e[12],t[13]=e[1]*m+e[5]*g+e[9]*v+e[13],t[14]=e[2]*m+e[6]*g+e[10]*v+e[14],t[15]=e[3]*m+e[7]*g+e[11]*v+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=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]=c,t[7]=u,t[8]=f,t[9]=h,t[10]=p,t[11]=d,t[12]=n*m+s*g+f*v+e[12],t[13]=i*m+l*g+h*v+e[13],t[14]=a*m+c*g+p*v+e[14],t[15]=o*m+u*g+d*v+e[15]);return t}},{}],224:[function(t,e,r){e.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}},{}],225:[function(t,e,r){\"use strict\";var n=t(\"css-font\"),i=t(\"pick-by-alias\"),a=t(\"regl\"),o=t(\"gl-util/context\"),s=t(\"es6-weak-map\"),l=t(\"color-normalize\"),c=t(\"font-atlas\"),u=t(\"typedarray-pool\"),f=t(\"parse-rect\"),h=t(\"is-plain-obj\"),p=t(\"parse-unit\"),d=t(\"to-px\"),m=t(\"detect-kerning\"),g=t(\"object-assign\"),v=t(\"font-measure\"),y=t(\"flatten-vertex-data\"),x=t(\"bit-twiddle\").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 alpha\",dstAlpha:\"one\"}},stencil:{enable:!1},depth:{enable:!1},count:t.prop(\"count\"),offset:t.prop(\"offset\"),attributes:{charOffset:{offset:4,stride:8,buffer:t.this(\"sizeBuffer\")},width:{offset:0,stride:8,buffer:t.this(\"sizeBuffer\")},char:t.this(\"charBuffer\"),position:t.this(\"position\")},uniforms:{atlasSize:function(t,e){return[e.atlas.width,e.atlas.height]},atlasDim:function(t,e){return[e.atlas.cols,e.atlas.rows]},atlas:function(t,e){return e.atlas.texture},charStep:function(t,e){return e.atlas.step},em:function(t,e){return e.atlas.em},color:t.prop(\"color\"),opacity:t.prop(\"opacity\"),viewport:t.this(\"viewportArray\"),scale:t.this(\"scale\"),align:t.prop(\"align\"),baseline:t.prop(\"baseline\"),translate:t.this(\"translate\"),positionOffset:t.prop(\"positionOffset\")},primitive:\"points\",viewport:t.this(\"viewport\"),vert:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tattribute float width, charOffset, char;\\n\\t\\t\\tattribute vec2 position;\\n\\t\\t\\tuniform 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=y(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 c=t.family.join(\", \"),u=[t.style];t.style!=t.variant&&u.push(t.variant),t.variant!=t.weight&&u.push(t.weight),_&&t.weight!=t.stretch&&u.push(t.stretch),e.font[r]={baseString:i,family:c,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:v(c,{origin:\"top\",fontSize:T.baseFontSize,fontStyle:u.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 s=Array(.5*t.position.length),h=0;h<s.length;h++)s[h]=t.text;t.text=s}if(null!=t.text||a){if(this.textOffsets=[0],Array.isArray(t.text)){this.count=t.text[0].length,this.counts=[this.count];for(var b=1;b<t.text.length;b++)this.textOffsets[b]=this.textOffsets[b-1]+t.text[b-1].length,this.count+=t.text[b].length,this.counts.push(t.text[b].length);this.text=t.text.join(\"\")}else this.text=t.text,this.count=this.text.length,this.counts=[this.count];r=[],this.font.forEach((function(t,n){T.atlasContext.font=t.baseString;for(var i=e.fontAtlas[n],a=0;a<e.text.length;a++){var o=e.text.charAt(a);if(null==i.ids[o]&&(i.ids[o]=i.chars.length,i.chars.push(o),r.push(o)),null==t.width[o]&&(t.width[o]=T.atlasContext.measureText(o).width/T.baseFontSize,e.kerning)){var s=[];for(var l in t.width)s.push(l+o,o+l);g(t.kerning,m(t.family,{pairs:s}))}}}))}if(t.position)if(t.position.length>2){for(var w=!t.position[0].length,k=u.mallocFloat(2*this.count),A=0,M=0;A<this.counts.length;A++){var S=this.counts[A];if(w)for(var E=0;E<S;E++)k[M++]=t.position[2*A],k[M++]=t.position[2*A+1];else for(var L=0;L<S;L++)k[M++]=t.position[A][0],k[M++]=t.position[A][1]}this.position.call?this.position({type:\"float\",data:k}):this.position=this.regl.buffer({type:\"float\",data:k}),u.freeFloat(k)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||a){var C=u.mallocUint8(this.count),P=u.mallocFloat(2*this.count);this.textWidth=[];for(var I=0,O=0;I<this.counts.length;I++){for(var z=this.counts[I],D=this.font[I]||this.font[0],R=this.fontAtlas[I]||this.fontAtlas[0],F=0;F<z;F++){var B=this.text.charAt(O),N=this.text.charAt(O-1);if(C[O]=R.ids[B],P[2*O]=D.width[B],F){var j=P[2*O-2],U=P[2*O],V=P[2*O-1]+.5*j+.5*U;if(this.kerning){var H=D.kerning[N+B];H&&(V+=.001*H)}P[2*O+1]=V}else P[2*O+1]=.5*P[2*O];O++}this.textWidth.push(P.length?.5*P[2*O-2]+P[2*O-1]:0)}t.align||(t.align=this.align),this.charBuffer({data:C,type:\"uint8\",usage:\"stream\"}),this.sizeBuffer({data:P,type:\"float\",usage:\"stream\"}),u.freeUint8(C),u.freeFloat(P),r.length&&this.font.forEach((function(t,r){var n=e.fontAtlas[r],i=n.step,a=Math.floor(T.maxAtlasSize/i),o=Math.min(a,n.chars.length),s=Math.ceil(n.chars.length/o),l=x(o*i),u=x(s*i);n.width=l,n.height=u,n.rows=s,n.cols=o,n.em&&n.texture({data:c({canvas:T.atlasCanvas,font:n.fontString,chars:n.chars,shape:[l,u],step:[i,i]})})}))}if(t.align&&(this.align=t.align,this.alignOffset=this.textWidth.map((function(t,r){var n=Array.isArray(e.align)?e.align.length>1?e.align[r]:e.align[0]:e.align;if(\"number\"==typeof n)return n;switch(n){case\"right\":case\"end\":return-t;case\"center\":case\"centre\":case\"middle\":return.5*-t}return 0}))),null==this.baseline&&null==t.baseline&&(t.baseline=0),null!=t.baseline&&(this.baseline=t.baseline,Array.isArray(this.baseline)||(this.baseline=[this.baseline]),this.baselineOffset=this.baseline.map((function(t,r){var n=(e.font[r]||e.font[0]).metrics,i=0;return i+=.5*n.bottom,i+=\"number\"==typeof t?t-n.baseline:-n[t],i*=-1}))),null!=t.color)if(t.color||(t.color=\"transparent\"),\"string\"!=typeof t.color&&isNaN(t.color)){var q;if(\"number\"==typeof t.color[0]&&t.color.length>this.counts.length){var G=t.color.length;q=u.mallocUint8(G);for(var Y=(t.color.subarray||t.color.slice).bind(t.color),W=0;W<G;W+=4)q.set(l(Y(W,W+4),\"uint8\"),W)}else{var X=t.color.length;q=u.mallocUint8(4*X);for(var Z=0;Z<X;Z++)q.set(l(t.color[Z]||0,\"uint8\"),4*Z)}this.color=q}else this.color=l(t.color,\"uint8\");if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity)if(this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2){var J=Math.max(.5*this.position.length||0,.25*this.color.length||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,.5*this.positionOffset.length||0);this.batch=Array(J);for(var 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this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[]},T.prototype.destroy=function(){},T.prototype.kerning=!0,T.prototype.position={constant:new Float32Array(2)},T.prototype.translate=null,T.prototype.scale=null,T.prototype.font=null,T.prototype.text=\"\",T.prototype.positionOffset=[0,0],T.prototype.opacity=1,T.prototype.color=new 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r=e.parse(t[1],1,Bt);if(!r)return null;var n=[],i=null;e.expectedType&&\"value\"!==e.expectedType.kind&&(i=e.expectedType);for(var a=1;a<t.length;a+=2){var o=1===a?-1/0:t[a],s=t[a+1],l=a,c=a+1;if(\"number\"!=typeof o)return e.error('Input/output pairs for \"step\" expressions must be defined using literal numeric values (not computed expressions) for the input values.',l);if(n.length&&n[n.length-1][0]>=o)return e.error('Input/output pairs for \"step\" expressions must be arranged with input values in strictly ascending order.',l);var u=e.parse(s,c,i);if(!u)return null;i=i||u.type,n.push([o,u])}return new He(i,r,n)},He.prototype.evaluate=function(t){var e=this.labels,r=this.outputs;if(1===e.length)return r[0].evaluate(t);var n=this.input.evaluate(t);if(n<=e[0])return r[0].evaluate(t);var i=e.length;return n>=e[i-1]?r[i-1].evaluate(t):r[Ve(e,n)].evaluate(t)},He.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1){t(r[e])}},He.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},He.prototype.serialize=function(){for(var t=[\"step\",this.input.serialize()],e=0;e<this.labels.length;e++)e>0&&t.push(this.labels[e]),t.push(this.outputs[e].serialize());return t};var Ge=Object.freeze({__proto__:null,number:qe,color:function(t,e,r){return new te(qe(t.r,e.r,r),qe(t.g,e.g,r),qe(t.b,e.b,r),qe(t.a,e.a,r))},array:function(t,e,r){return t.map((function(t,n){return qe(t,e[n],r)}))}}),Ye=6/29,We=3*Ye*Ye,Xe=Math.PI/180,Ze=180/Math.PI;function Je(t){return t>.008856451679035631?Math.pow(t,1/3):t/We+4/29}function Ke(t){return t>Ye?t*t*t:We*(t-4/29)}function Qe(t){return 255*(t<=.0031308?12.92*t:1.055*Math.pow(t,1/2.4)-.055)}function $e(t){return(t/=255)<=.04045?t/12.92:Math.pow((t+.055)/1.055,2.4)}function tr(t){var e=$e(t.r),r=$e(t.g),n=$e(t.b),i=Je((.4124564*e+.3575761*r+.1804375*n)/.95047),a=Je((.2126729*e+.7151522*r+.072175*n)/1);return{l:116*a-16,a:500*(i-a),b:200*(a-Je((.0193339*e+.119192*r+.9503041*n)/1.08883)),alpha:t.a}}function er(t){var e=(t.l+16)/116,r=isNaN(t.a)?e:e+t.a/500,n=isNaN(t.b)?e:e-t.b/200;return e=1*Ke(e),r=.95047*Ke(r),n=1.08883*Ke(n),new te(Qe(3.2404542*r-1.5371385*e-.4985314*n),Qe(-.969266*r+1.8760108*e+.041556*n),Qe(.0556434*r-.2040259*e+1.0572252*n),t.alpha)}function rr(t,e,r){var n=e-t;return t+r*(n>180||n<-180?n-360*Math.round(n/360):n)}var nr={forward:tr,reverse:er,interpolate:function(t,e,r){return{l:qe(t.l,e.l,r),a:qe(t.a,e.a,r),b:qe(t.b,e.b,r),alpha:qe(t.alpha,e.alpha,r)}}},ir={forward:function(t){var e=tr(t),r=e.l,n=e.a,i=e.b,a=Math.atan2(i,n)*Ze;return{h:a<0?a+360:a,c:Math.sqrt(n*n+i*i),l:r,alpha:t.a}},reverse:function(t){var e=t.h*Xe,r=t.c;return er({l:t.l,a:Math.cos(e)*r,b:Math.sin(e)*r,alpha:t.alpha})},interpolate:function(t,e,r){return{h:rr(t.h,e.h,r),c:qe(t.c,e.c,r),l:qe(t.l,e.l,r),alpha:qe(t.alpha,e.alpha,r)}}},ar=Object.freeze({__proto__:null,lab:nr,hcl:ir}),or=function(t,e,r,n,i){this.type=t,this.operator=e,this.interpolation=r,this.input=n,this.labels=[],this.outputs=[];for(var a=0,o=i;a<o.length;a+=1){var s=o[a],l=s[0],c=s[1];this.labels.push(l),this.outputs.push(c)}};function sr(t,e,r,n){var i=n-r,a=t-r;return 0===i?0:1===e?a/i:(Math.pow(e,a)-1)/(Math.pow(e,i)-1)}or.interpolationFactor=function(t,e,n,i){var a=0;if(\"exponential\"===t.name)a=sr(e,t.base,n,i);else if(\"linear\"===t.name)a=sr(e,1,n,i);else if(\"cubic-bezier\"===t.name){var o=t.controlPoints;a=new r(o[0],o[1],o[2],o[3]).solve(sr(e,1,n,i))}return a},or.parse=function(t,e){var r=t[0],n=t[1],i=t[2],a=t.slice(3);if(!Array.isArray(n)||0===n.length)return e.error(\"Expected an interpolation type expression.\",1);if(\"linear\"===n[0])n={name:\"linear\"};else if(\"exponential\"===n[0]){var o=n[1];if(\"number\"!=typeof o)return e.error(\"Exponential interpolation requires a numeric base.\",1,1);n={name:\"exponential\",base:o}}else{if(\"cubic-bezier\"!==n[0])return e.error(\"Unknown interpolation type \"+String(n[0]),1,0);var s=n.slice(1);if(4!==s.length||s.some((function(t){return\"number\"!=typeof t||t<0||t>1})))return e.error(\"Cubic bezier interpolation requires four numeric arguments with values between 0 and 1.\",1);n={name:\"cubic-bezier\",controlPoints:s}}if(t.length-1<4)return e.error(\"Expected at least 4 arguments, but found only \"+(t.length-1)+\".\");if((t.length-1)%2!=0)return e.error(\"Expected an even number of arguments.\");if(!(i=e.parse(i,2,Bt)))return null;var l=[],c=null;\"interpolate-hcl\"===r||\"interpolate-lab\"===r?c=Ut:e.expectedType&&\"value\"!==e.expectedType.kind&&(c=e.expectedType);for(var u=0;u<a.length;u+=2){var f=a[u],h=a[u+1],p=u+3,d=u+4;if(\"number\"!=typeof f)return e.error('Input/output pairs for 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a=Ve(e,n),o=e[a],s=e[a+1],l=or.interpolationFactor(this.interpolation,n,o,s),c=r[a].evaluate(t),u=r[a+1].evaluate(t);return\"interpolate\"===this.operator?Ge[this.type.kind.toLowerCase()](c,u,l):\"interpolate-hcl\"===this.operator?ir.reverse(ir.interpolate(ir.forward(c),ir.forward(u),l)):nr.reverse(nr.interpolate(nr.forward(c),nr.forward(u),l))},or.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1){t(r[e])}},or.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},or.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 lr=function(t,e){this.type=t,this.args=e};lr.parse=function(t,e){if(t.length<2)return e.error(\"Expectected at least one argument.\");var r=null,n=e.expectedType;n&&\"value\"!==n.kind&&(r=n);for(var i=[],a=0,o=t.slice(1);a<o.length;a+=1){var s=o[a],l=e.parse(s,1+i.length,r,void 0,{typeAnnotation:\"omit\"});if(!l)return null;r=r||l.type,i.push(l)}var c=n&&i.some((function(t){return Jt(n,t.type)}));return new lr(c?Ht:r,i)},lr.prototype.evaluate=function(t){for(var e,r=null,n=0,i=0,a=this.args;i<a.length;i+=1){if(n++,(r=a[i].evaluate(t))&&r instanceof ie&&!r.available&&(e||(e=r.name),r=null,n===this.args.length&&(r=e)),null!==r)break}return r},lr.prototype.eachChild=function(t){this.args.forEach(t)},lr.prototype.outputDefined=function(){return this.args.every((function(t){return t.outputDefined()}))},lr.prototype.serialize=function(){var t=[\"coalesce\"];return this.eachChild((function(e){t.push(e.serialize())})),t};var cr=function(t,e){this.type=e.type,this.bindings=[].concat(t),this.result=e};cr.prototype.evaluate=function(t){return this.result.evaluate(t)},cr.prototype.eachChild=function(t){for(var e=0,r=this.bindings;e<r.length;e+=1){t(r[e][1])}t(this.result)},cr.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 cr(r,o):null},cr.prototype.outputDefined=function(){return this.result.outputDefined()},cr.prototype.serialize=function(){for(var t=[\"let\"],e=0,r=this.bindings;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];t.push(i,a.serialize())}return t.push(this.result.serialize()),t};var ur=function(t,e,r){this.type=t,this.index=e,this.input=r};ur.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,Bt),n=e.parse(t[2],2,Wt(e.expectedType||Ht));if(!r||!n)return null;var i=n.type;return new ur(i.itemType,r,n)},ur.prototype.evaluate=function(t){var e=this.index.evaluate(t),r=this.input.evaluate(t);if(e<0)throw new ue(\"Array index out of bounds: \"+e+\" < 0.\");if(e>=r.length)throw new ue(\"Array index out of bounds: \"+e+\" > \"+(r.length-1)+\".\");if(e!==Math.floor(e))throw new ue(\"Array index must be an integer, but found \"+e+\" instead.\");return r[e]},ur.prototype.eachChild=function(t){t(this.index),t(this.input)},ur.prototype.outputDefined=function(){return!1},ur.prototype.serialize=function(){return[\"at\",this.index.serialize(),this.input.serialize()]};var fr=function(t,e){this.type=jt,this.needle=t,this.haystack=e};fr.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,Ht),n=e.parse(t[2],2,Ht);return r&&n?Kt(r.type,[jt,Nt,Bt,Ft,Ht])?new fr(r,n):e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(r.type)+\" instead\"):null},fr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!r)return!1;if(!Qt(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new ue(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(se(e))+\" instead.\");if(!Qt(r,[\"string\",\"array\"]))throw new ue(\"Expected second argument to be of type array or string, but found \"+Xt(se(r))+\" instead.\");return r.indexOf(e)>=0},fr.prototype.eachChild=function(t){t(this.needle),t(this.haystack)},fr.prototype.outputDefined=function(){return!0},fr.prototype.serialize=function(){return[\"in\",this.needle.serialize(),this.haystack.serialize()]};var hr=function(t,e,r){this.type=Bt,this.needle=t,this.haystack=e,this.fromIndex=r};hr.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,Ht),n=e.parse(t[2],2,Ht);if(!r||!n)return null;if(!Kt(r.type,[jt,Nt,Bt,Ft,Ht]))return e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(r.type)+\" instead\");if(4===t.length){var i=e.parse(t[3],3,Bt);return i?new hr(r,n,i):null}return new hr(r,n)},hr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!Qt(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new ue(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(se(e))+\" instead.\");if(!Qt(r,[\"string\",\"array\"]))throw new ue(\"Expected second argument to be of type array or string, but found \"+Xt(se(r))+\" instead.\");if(this.fromIndex){var n=this.fromIndex.evaluate(t);return r.indexOf(e,n)}return r.indexOf(e)},hr.prototype.eachChild=function(t){t(this.needle),t(this.haystack),this.fromIndex&&t(this.fromIndex)},hr.prototype.outputDefined=function(){return!1},hr.prototype.serialize=function(){if(null!=this.fromIndex&&void 0!==this.fromIndex){var t=this.fromIndex.serialize();return[\"index-of\",this.needle.serialize(),this.haystack.serialize(),t]}return[\"index-of\",this.needle.serialize(),this.haystack.serialize()]};var pr=function(t,e,r,n,i,a){this.inputType=t,this.type=e,this.input=r,this.cases=n,this.outputs=i,this.otherwise=a};pr.parse=function(t,e){if(t.length<5)return e.error(\"Expected at least 4 arguments, but found only \"+(t.length-1)+\".\");if(t.length%2!=1)return e.error(\"Expected an even number of 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m?\"value\"!==d.type.kind&&e.concat(1).checkSubtype(r,d.type)?null:new pr(r,n,d,i,a,m):null},pr.prototype.evaluate=function(t){var e=this.input.evaluate(t);return(se(e)===this.inputType&&this.outputs[this.cases[e]]||this.otherwise).evaluate(t)},pr.prototype.eachChild=function(t){t(this.input),this.outputs.forEach(t),t(this.otherwise)},pr.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))&&this.otherwise.outputDefined()},pr.prototype.serialize=function(){for(var t=this,e=[\"match\",this.input.serialize()],r=[],n={},i=0,a=Object.keys(this.cases).sort();i<a.length;i+=1){var o=a[i];void 0===(f=n[this.cases[o]])?(n[this.cases[o]]=r.length,r.push([this.cases[o],[o]])):r[f][1].push(o)}for(var s=function(e){return\"number\"===t.inputType.kind?Number(e):e},l=0,c=r;l<c.length;l+=1){var u=c[l],f=u[0],h=u[1];1===h.length?e.push(s(h[0])):e.push(h.map(s)),e.push(this.outputs[outputIndex$1].serialize())}return e.push(this.otherwise.serialize()),e};var dr=function(t,e,r){this.type=t,this.branches=e,this.otherwise=r};dr.parse=function(t,e){if(t.length<4)return e.error(\"Expected at least 3 arguments, but found only \"+(t.length-1)+\".\");if(t.length%2!=0)return e.error(\"Expected an odd number of arguments.\");var r;e.expectedType&&\"value\"!==e.expectedType.kind&&(r=e.expectedType);for(var n=[],i=1;i<t.length-1;i+=2){var a=e.parse(t[i],i,jt);if(!a)return null;var o=e.parse(t[i+1],i+1,r);if(!o)return null;n.push([a,o]),r=r||o.type}var s=e.parse(t[t.length-1],t.length-1,r);return s?new dr(r,n,s):null},dr.prototype.evaluate=function(t){for(var e=0,r=this.branches;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];if(i.evaluate(t))return a.evaluate(t)}return this.otherwise.evaluate(t)},dr.prototype.eachChild=function(t){for(var e=0,r=this.branches;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];t(i),t(a)}t(this.otherwise)},dr.prototype.outputDefined=function(){return this.branches.every((function(t){t[0];return 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or?a.interpolation:void 0;return Ir(new Zr(n?\"camera\":\"composite\",t.value,a.labels,o))}Zr.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)},Zr.prototype.evaluate=function(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)},Zr.prototype.interpolationFactor=function(t,e,r){return this.interpolationType?or.interpolationFactor(this.interpolationType,t,e,r):0};var Kr=function(t,e){this._parameters=t,this._specification=e,It(this,function t(e,r){var n,i,a,o=\"color\"===r.type,s=e.stops&&\"object\"==typeof e.stops[0][0],l=s||void 0!==e.property,c=s||!l,u=e.type||(Rr(r)?\"exponential\":\"interval\");if(o&&((e=It({},e)).stops&&(e.stops=e.stops.map((function(t){return[t[0],te.parse(t[1])]}))),e.default?e.default=te.parse(e.default):e.default=te.parse(r.default)),e.colorSpace&&\"rgb\"!==e.colorSpace&&!ar[e.colorSpace])throw new Error(\"Unknown color space: 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n&&r<n.minimum?[new Ct(e,r,r+\" is less than the minimum value \"+n.minimum)]:\"maximum\"in n&&r>n.maximum?[new Ct(e,r,r+\" is greater than the maximum value \"+n.maximum)]:[]}function en(t){var e,r,n,i=t.valueSpec,a=Ot(t.value.type),o={},s=\"categorical\"!==a&&void 0===t.value.property,l=!s,c=\"array\"===Fr(t.value.stops)&&\"array\"===Fr(t.value.stops[0])&&\"object\"===Fr(t.value.stops[0][0]),u=Qr({key:t.key,value:t.value,valueSpec:t.styleSpec.function,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{stops:function(t){if(\"identity\"===a)return[new Ct(t.key,t.value,'identity function may not have a \"stops\" property')];var e=[],r=t.value;e=e.concat($r({key:t.key,value:r,valueSpec:t.valueSpec,style:t.style,styleSpec:t.styleSpec,arrayElementValidator:f})),\"array\"===Fr(r)&&0===r.length&&e.push(new Ct(t.key,r,\"array must have at least one stop\"));return e},default:function(t){return kn({key:t.key,value:t.value,valueSpec:i,style:t.style,styleSpec:t.styleSpec})}}});return\"identity\"===a&&s&&u.push(new Ct(t.key,t.value,'missing required property \"property\"')),\"identity\"===a||t.value.stops||u.push(new Ct(t.key,t.value,'missing required property \"stops\"')),\"exponential\"===a&&t.valueSpec.expression&&!Rr(t.valueSpec)&&u.push(new Ct(t.key,t.value,\"exponential functions not supported\")),t.styleSpec.$version>=8&&(l&&!zr(t.valueSpec)?u.push(new Ct(t.key,t.value,\"property functions not supported\")):s&&!Dr(t.valueSpec)&&u.push(new Ct(t.key,t.value,\"zoom functions not supported\"))),\"categorical\"!==a&&!c||void 0!==t.value.property||u.push(new Ct(t.key,t.value,'\"property\" property is required')),u;function f(t){var e=[],a=t.value,s=t.key;if(\"array\"!==Fr(a))return[new Ct(s,a,\"array expected, \"+Fr(a)+\" found\")];if(2!==a.length)return[new Ct(s,a,\"array length 2 expected, length \"+a.length+\" found\")];if(c){if(\"object\"!==Fr(a[0]))return[new Ct(s,a,\"object expected, \"+Fr(a[0])+\" found\")];if(void 0===a[0].zoom)return[new Ct(s,a,\"object stop key must have zoom\")];if(void 0===a[0].value)return[new Ct(s,a,\"object stop key must have value\")];if(n&&n>Ot(a[0].zoom))return[new Ct(s,a[0].zoom,\"stop zoom values must appear in ascending order\")];Ot(a[0].zoom)!==n&&(n=Ot(a[0].zoom),r=void 0,o={}),e=e.concat(Qr({key:s+\"[0]\",value:a[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:tn,value:h}}))}else e=e.concat(h({key:s+\"[0]\",value:a[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},a));return Yr(zt(a[1]))?e.concat([new Ct(s+\"[1]\",a[1],\"expressions are not allowed in function stops.\")]):e.concat(kn({key:s+\"[1]\",value:a[1],valueSpec:i,style:t.style,styleSpec:t.styleSpec}))}function h(t,n){var s=Fr(t.value),l=Ot(t.value),c=null!==t.value?t.value:n;if(e){if(s!==e)return[new Ct(t.key,c,s+\" stop domain type must match previous stop domain type \"+e)]}else e=s;if(\"number\"!==s&&\"string\"!==s&&\"boolean\"!==s)return[new Ct(t.key,c,\"stop domain value must be a number, string, or boolean\")];if(\"number\"!==s&&\"categorical\"!==a){var u=\"number expected, \"+s+\" found\";return zr(i)&&void 0===a&&(u+='\\nIf you intended to use a categorical function, specify `\"type\": \"categorical\"`.'),[new Ct(t.key,c,u)]}return\"categorical\"!==a||\"number\"!==s||isFinite(l)&&Math.floor(l)===l?\"categorical\"!==a&&\"number\"===s&&void 0!==r&&l<r?[new Ct(t.key,c,\"stop domain values must appear in ascending order\")]:(r=l,\"categorical\"===a&&l in o?[new Ct(t.key,c,\"stop domain values must be unique\")]:(o[l]=!0,[])):[new Ct(t.key,c,\"integer expected, found \"+l)]}}function rn(t){var e=(\"property\"===t.expressionContext?Jr:Wr)(zt(t.value),t.valueSpec);if(\"error\"===e.result)return e.value.map((function(e){return new Ct(\"\"+t.key+e.key,t.value,e.message)}));var r=e.value.expression||e.value._styleExpression.expression;if(\"property\"===t.expressionContext&&\"text-font\"===t.propertyKey&&!r.outputDefined())return[new Ct(t.key,t.value,'Invalid data expression for \"'+t.propertyKey+'\". Output values must be contained as literals within the expression.')];if(\"property\"===t.expressionContext&&\"layout\"===t.propertyType&&!Be(r))return[new Ct(t.key,t.value,'\"feature-state\" data expressions are not supported with layout properties.')];if(\"filter\"===t.expressionContext&&!Be(r))return[new Ct(t.key,t.value,'\"feature-state\" data expressions are not supported with filters.')];if(t.expressionContext&&0===t.expressionContext.indexOf(\"cluster\")){if(!Ne(r,[\"zoom\",\"feature-state\"]))return[new Ct(t.key,t.value,'\"zoom\" and \"feature-state\" expressions are not supported with cluster properties.')];if(\"cluster-initial\"===t.expressionContext&&!Fe(r))return[new Ct(t.key,t.value,\"Feature data expressions are not supported with initial expression part of cluster properties.\")]}return[]}function nn(t){var e=t.key,r=t.value,n=t.valueSpec,i=[];return Array.isArray(n.values)?-1===n.values.indexOf(Ot(r))&&i.push(new Ct(e,r,\"expected one of [\"+n.values.join(\", \")+\"], 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on={type:\"boolean\",default:!1,transition:!1,\"property-type\":\"data-driven\",expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]}};function sn(t){if(null==t)return{filter:function(){return!0},needGeometry:!1};an(t)||(t=cn(t));var e=Wr(t,on);if(\"error\"===e.result)throw new Error(e.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return{filter:function(t,r,n){return e.value.evaluate(t,r,{},n)},needGeometry:function t(e){if(!Array.isArray(e))return!1;if(\"within\"===e[0])return!0;for(var r=1;r<e.length;r++)if(t(e[r]))return!0;return!1}(t)}}function ln(t,e){return t<e?-1:t>e?1:0}function cn(t){if(!t)return!0;var e,r=t[0];return t.length<=1?\"any\"!==r:\"==\"===r?un(t[1],t[2],\"==\"):\"!=\"===r?pn(un(t[1],t[2],\"==\")):\"<\"===r||\">\"===r||\"<=\"===r||\">=\"===r?un(t[1],t[2],r):\"any\"===r?(e=t.slice(1),[\"any\"].concat(e.map(cn))):\"all\"===r?[\"all\"].concat(t.slice(1).map(cn)):\"none\"===r?[\"all\"].concat(t.slice(1).map(cn).map(pn)):\"in\"===r?fn(t[1],t.slice(2)):\"!in\"===r?pn(fn(t[1],t.slice(2))):\"has\"===r?hn(t[1]):\"!has\"===r?pn(hn(t[1])):\"within\"!==r||t}function un(t,e,r){switch(t){case\"$type\":return[\"filter-type-\"+r,e];case\"$id\":return[\"filter-id-\"+r,e];default:return[\"filter-\"+r,t,e]}}function fn(t,e){if(0===e.length)return!1;switch(t){case\"$type\":return[\"filter-type-in\",[\"literal\",e]];case\"$id\":return[\"filter-id-in\",[\"literal\",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?[\"filter-in-large\",t,[\"literal\",e.sort(ln)]]:[\"filter-in-small\",t,[\"literal\",e]]}}function hn(t){switch(t){case\"$type\":return!0;case\"$id\":return[\"filter-has-id\"];default:return[\"filter-has\",t]}}function pn(t){return[\"!\",t]}function dn(t){return an(zt(t.value))?rn(It({},t,{expressionContext:\"filter\",valueSpec:{value:\"boolean\"}})):function t(e){var r=e.value,n=e.key;if(\"array\"!==Fr(r))return[new Ct(n,r,\"array expected, \"+Fr(r)+\" found\")];var i,a=e.styleSpec,o=[];if(r.length<1)return[new Ct(n,r,\"filter array must have at least 1 element\")];switch(o=o.concat(nn({key:n+\"[0]\",value:r[0],valueSpec:a.filter_operator,style:e.style,styleSpec:e.styleSpec})),Ot(r[0])){case\"<\":case\"<=\":case\">\":case\">=\":r.length>=2&&\"$type\"===Ot(r[1])&&o.push(new Ct(n,r,'\"$type\" cannot be use with operator \"'+r[0]+'\"'));case\"==\":case\"!=\":3!==r.length&&o.push(new Ct(n,r,'filter array for operator \"'+r[0]+'\" must have 3 elements'));case\"in\":case\"!in\":r.length>=2&&\"string\"!==(i=Fr(r[1]))&&o.push(new Ct(n+\"[1]\",r[1],\"string expected, \"+i+\" 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r=t.key,n=t.style,i=t.styleSpec,a=t.value,o=t.objectKey,s=i[e+\"_\"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if(\"paint\"===e&&l&&s[l[1]]&&s[l[1]].transition)return kn({key:r,value:a,valueSpec:i.transition,style:n,styleSpec:i});var c,u=t.valueSpec||s[o];if(!u)return[new Ct(r,a,'unknown property \"'+o+'\"')];if(\"string\"===Fr(a)&&zr(u)&&!u.tokens&&(c=/^{([^}]+)}$/.exec(a)))return[new Ct(r,a,'\"'+o+'\" does not support interpolation syntax\\nUse an identity property function instead: `{ \"type\": \"identity\", \"property\": '+JSON.stringify(c[1])+\" }`.\")];var f=[];return\"symbol\"===t.layerType&&(\"text-field\"===o&&n&&!n.glyphs&&f.push(new Ct(r,a,'use of \"text-field\" requires a style \"glyphs\" property')),\"text-font\"===o&&Br(zt(a))&&\"identity\"===Ot(a.type)&&f.push(new Ct(r,a,'\"text-font\" does not support identity 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null!=hi.applyArabicShaping&&null!=hi.processBidirectionalText&&null!=hi.processStyledBidirectionalText},getPluginURL:function(){return oi}},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 Gn,this.transition={})};pi.prototype.isSupportedScript=function(t){return function(t,e){for(var r=0,n=t;r<n.length;r+=1){if(!Qn(n[r].charCodeAt(0),e))return!1}return!0}(t,hi.isLoaded())},pi.prototype.crossFadingFactor=function(){return 0===this.fadeDuration?1:Math.min((this.now-this.zoomHistory.lastIntegerZoomTime)/this.fadeDuration,1)},pi.prototype.getCrossfadeParameters=function(){var t=this.zoom,e=t-Math.floor(t),r=this.crossFadingFactor();return t>this.zoomHistory.lastIntegerZoom?{fromScale:2,toScale:1,t:e+(1-e)*r}:{fromScale:.5,toScale:1,t:1-(1-r)*e}};var di=function(t,e){this.property=t,this.value=e,this.expression=function(t,e){if(Br(t))return new Kr(t,e);if(Yr(t)){var r=Jr(t,e);if(\"error\"===r.result)throw new Error(r.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return r.value}var n=t;return\"string\"==typeof t&&\"color\"===e.type&&(n=te.parse(t)),{kind:\"constant\",evaluate:function(){return n}}}(void 0===e?t.specification.default:e,t.specification)};di.prototype.isDataDriven=function(){return\"source\"===this.expression.kind||\"composite\"===this.expression.kind},di.prototype.possiblyEvaluate=function(t,e,r){return this.property.possiblyEvaluate(this,t,e,r)};var mi=function(t){this.property=t,this.value=new di(t,void 0)};mi.prototype.transitioned=function(t,e){return new vi(this.property,this.value,e,u({},t.transition,this.transition),t.now)},mi.prototype.untransitioned=function(){return new vi(this.property,this.value,null,{},0)};var gi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitionablePropertyValues)};gi.prototype.getValue=function(t){return x(this._values[t].value.value)},gi.prototype.setValue=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new mi(this._values[t].property)),this._values[t].value=new di(this._values[t].property,null===e?void 0:x(e))},gi.prototype.getTransition=function(t){return x(this._values[t].transition)},gi.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new mi(this._values[t].property)),this._values[t].transition=x(e)||void 0},gi.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},gi.prototype.transitioned=function(t,e){for(var r=new yi(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},gi.prototype.untransitioned=function(){for(var t=new yi(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 vi=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)};vi.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 yi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};yi.prototype.possiblyEvaluate=function(t,e,r){for(var n=new _i(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},yi.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 xi=function(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)};xi.prototype.getValue=function(t){return x(this._values[t].value)},xi.prototype.setValue=function(t,e){this._values[t]=new di(this._values[t].property,null===e?void 0:x(e))},xi.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},xi.prototype.possiblyEvaluate=function(t,e,r){for(var n=new _i(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 _i=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};_i.prototype.get=function(t){return this._values[t]};var wi=function(t){this.specification=t};wi.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},wi.prototype.interpolate=function(t,e,r){var n=Ge[this.specification.type];return n?n(t,e,r):t};var Ti=function(t,e){this.specification=t,this.overrides=e};Ti.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)},Ti.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=Ge[this.specification.type];return n?new bi(this,{kind:\"constant\",value:n(t.value.value,e.value.value,r)},t.parameters):t},Ti.prototype.evaluate=function(t,e,r,n,i,a){return\"constant\"===t.kind?t.value:t.evaluate(e,r,n,i,a)};var ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.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}(Ti),Ai=function(t){this.specification=t};Ai.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)}},Ai.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},Ai.prototype.interpolate=function(t){return t};var Mi=function(t){this.specification=t};Mi.prototype.possiblyEvaluate=function(t,e,r,n){return!!t.expression.evaluate(e,null,{},r,n)},Mi.prototype.interpolate=function(){return!1};var Si=function(t){for(var e in this.properties=t,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[],t){var r=t[e];r.specification.overridable&&this.overridableProperties.push(e);var n=this.defaultPropertyValues[e]=new di(r,void 0),i=this.defaultTransitionablePropertyValues[e]=new mi(r);this.defaultTransitioningPropertyValues[e]=i.untransitioned(),this.defaultPossiblyEvaluatedValues[e]=n.possiblyEvaluate({})}};Nn(\"DataDrivenProperty\",Ti),Nn(\"DataConstantProperty\",wi),Nn(\"CrossFadedDataDrivenProperty\",ki),Nn(\"CrossFadedProperty\",Ai),Nn(\"ColorRampProperty\",Mi);var Ei=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&&(e=e,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 xi(r.layout)),r.paint)){for(var n in this._transitionablePaint=new gi(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 _i(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(In,n,t,e,r))return}\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e},e.prototype.getPaintProperty=function(t){return g(t,\"-transition\")?this._transitionablePaint.getTransition(t.slice(0,-\"-transition\".length)):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(Pn,n,t,e,r))return!1}if(g(t,\"-transition\"))return this._transitionablePaint.setTransition(t.slice(0,-\"-transition\".length),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),y(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)&&On(this,t.call(Ln,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:Lt,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&&zr(e.property.specification)&&((\"source\"===e.value.kind||\"composite\"===e.value.kind)&&e.value.isStateDependent))return!0}return!1},e}(Et),Li={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},Ci=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},Pi=function(){this.isTransferred=!1,this.capacity=-1,this.resize(0)};function Ii(t,e){void 0===e&&(e=1);var r=0,n=0;return{members:t.map((function(t){var i,a=(i=t.type,Li[i].BYTES_PER_ELEMENT),o=r=Oi(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:Oi(r,Math.max(n,e)),alignment:e}}function Oi(t,e){return Math.ceil(t/e)*e}Pi.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},Pi.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},Pi.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},Pi.prototype.clear=function(){this.length=0},Pi.prototype.resize=function(t){this.reserve(t),this.length=t},Pi.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)}},Pi.prototype._refreshViews=function(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")};var zi=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}(Pi);zi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout2i4\",zi);var Di=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.int16[a+0]=e,this.int16[a+1]=r,this.int16[a+2]=n,this.int16[a+3]=i,t},e}(Pi);Di.prototype.bytesPerElement=8,Nn(\"StructArrayLayout4i8\",Di);var Ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._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}(Pi);Ri.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2i4i12\",Ri);var Fi=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}(Pi);Fi.prototype.bytesPerElement=8,Nn(\"StructArrayLayout2i4ub8\",Fi);var Bi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c){var u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l,c)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u){var 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]=c,this.uint8[h+17]=u,t},e}(Pi);Bi.prototype.bytesPerElement=18,Nn(\"StructArrayLayout8ui2ub18\",Bi);var Ni=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f){var h=this.length;return this.resize(h+1),this.emplace(h,t,e,r,n,i,a,o,s,l,c,u,f)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,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]=c,this.int16[p+9]=u,this.int16[p+10]=f,this.int16[p+11]=h,t},e}(Pi);Ni.prototype.bytesPerElement=24,Nn(\"StructArrayLayout4i4ui4i24\",Ni);var ji=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}(Pi);ji.prototype.bytesPerElement=12,Nn(\"StructArrayLayout3f12\",ji);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._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}(Pi);Ui.prototype.bytesPerElement=4,Nn(\"StructArrayLayout1ul4\",Ui);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._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 c=this.length;return this.resize(c+1),this.emplace(c,t,e,r,n,i,a,o,s,l)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c){var u=10*t,f=5*t;return this.int16[u+0]=e,this.int16[u+1]=r,this.int16[u+2]=n,this.int16[u+3]=i,this.int16[u+4]=a,this.int16[u+5]=o,this.uint32[f+3]=s,this.uint16[u+8]=l,this.uint16[u+9]=c,t},e}(Pi);Vi.prototype.bytesPerElement=20,Nn(\"StructArrayLayout6i1ul2ui20\",Vi);var Hi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._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}(Pi);Hi.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2i2i2i12\",Hi);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.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}(Pi);qi.prototype.bytesPerElement=16,Nn(\"StructArrayLayout2f1f2i16\",qi);var Gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._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}(Pi);Gi.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2ub2f12\",Gi);var Yi=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 this.uint16[i+0]=e,this.uint16[i+1]=r,this.uint16[i+2]=n,t},e}(Pi);Yi.prototype.bytesPerElement=6,Nn(\"StructArrayLayout3ui6\",Yi);var 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.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,c,u,f,h,p,d,m,g){var v=this.length;return this.resize(v+1),this.emplace(v,t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v){var y=24*t,x=12*t,b=48*t;return this.int16[y+0]=e,this.int16[y+1]=r,this.uint16[y+2]=n,this.uint16[y+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[y+10]=l,this.uint16[y+11]=c,this.uint16[y+12]=u,this.float32[x+7]=f,this.float32[x+8]=h,this.uint8[b+36]=p,this.uint8[b+37]=d,this.uint8[b+38]=m,this.uint32[x+10]=g,this.int16[y+22]=v,t},e}(Pi);Wi.prototype.bytesPerElement=48,Nn(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\",Wi);var Xi=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,c,u,f,h,p,d,m,g,v,y,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,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,A,M,S)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,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]=c,this.uint16[L+9]=u,this.uint16[L+10]=f,this.uint16[L+11]=h,this.uint16[L+12]=p,this.uint16[L+13]=d,this.uint16[L+14]=m,this.uint16[L+15]=g,this.uint16[L+16]=v,this.uint16[L+17]=y,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}(Pi);Xi.prototype.bytesPerElement=68,Nn(\"StructArrayLayout8i15ui1ul4f68\",Xi);var Zi=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){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.float32[r+0]=e,t},e}(Pi);Zi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout1f4\",Zi);var Ji=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){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.int16[i+0]=e,this.int16[i+1]=r,this.int16[i+2]=n,t},e}(Pi);Ji.prototype.bytesPerElement=6,Nn(\"StructArrayLayout3i6\",Ji);var Ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(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=2*t,a=4*t;return this.uint32[i+0]=e,this.uint16[a+2]=r,this.uint16[a+3]=n,t},e}(Pi);Ki.prototype.bytesPerElement=8,Nn(\"StructArrayLayout1ul2ui8\",Ki);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.uint16=new Uint16Array(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.uint16[n+0]=e,this.uint16[n+1]=r,t},e}(Pi);Qi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout2ui4\",Qi);var $i=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint16[r+0]=e,t},e}(Pi);$i.prototype.bytesPerElement=2,Nn(\"StructArrayLayout1ui2\",$i);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 Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.float32[n+0]=e,this.float32[n+1]=r,t},e}(Pi);ta.prototype.bytesPerElement=8,Nn(\"StructArrayLayout2f8\",ta);var ea=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=4*t;return this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,this.float32[a+3]=i,t},e}(Pi);ea.prototype.bytesPerElement=16,Nn(\"StructArrayLayout4f16\",ea);var ra=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 this._structArray.int16[this._pos2+5]},r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+8]},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.anchorPoint.get=function(){return new i(this.anchorPointX,this.anchorPointY)},Object.defineProperties(e.prototype,r),e}(Ci);ra.prototype.size=20;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.get=function(t){return new ra(this,t)},e}(Vi);Nn(\"CollisionBoxArray\",na);var ia=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},glyphStartIndex:{configurable:!0},numGlyphs:{configurable:!0},vertexStartIndex:{configurable:!0},lineStartIndex:{configurable:!0},lineLength:{configurable:!0},segment:{configurable:!0},lowerSize:{configurable:!0},upperSize:{configurable:!0},lineOffsetX:{configurable:!0},lineOffsetY:{configurable:!0},writingMode:{configurable:!0},placedOrientation:{configurable:!0},hidden:{configurable:!0},crossTileID:{configurable:!0},associatedIconIndex:{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.glyphStartIndex.get=function(){return this._structArray.uint16[this._pos2+2]},r.numGlyphs.get=function(){return this._structArray.uint16[this._pos2+3]},r.vertexStartIndex.get=function(){return this._structArray.uint32[this._pos4+2]},r.lineStartIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.lineLength.get=function(){return this._structArray.uint32[this._pos4+4]},r.segment.get=function(){return this._structArray.uint16[this._pos2+10]},r.lowerSize.get=function(){return this._structArray.uint16[this._pos2+11]},r.upperSize.get=function(){return this._structArray.uint16[this._pos2+12]},r.lineOffsetX.get=function(){return this._structArray.float32[this._pos4+7]},r.lineOffsetY.get=function(){return this._structArray.float32[this._pos4+8]},r.writingMode.get=function(){return this._structArray.uint8[this._pos1+36]},r.placedOrientation.get=function(){return this._structArray.uint8[this._pos1+37]},r.placedOrientation.set=function(t){this._structArray.uint8[this._pos1+37]=t},r.hidden.get=function(){return this._structArray.uint8[this._pos1+38]},r.hidden.set=function(t){this._structArray.uint8[this._pos1+38]=t},r.crossTileID.get=function(){return 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}(Ci);ia.prototype.size=48;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.get=function(t){return new ia(this,t)},e}(Wi);Nn(\"PlacedSymbolArray\",aa);var oa=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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c=t.readVarint();n=7&c,a=c>>3}if(a--,1===n||2===n)o+=t.readSVarint(),s+=t.readSVarint(),1===n&&(e&&l.push(e),e=[]),e.push(new i(o,s));else{if(7!==n)throw new Error(\"unknown command \"+n);e&&e.push(e[0].clone())}}return e&&l.push(e),l},ws.prototype.bbox=function(){var t=this._pbf;t.pos=this._geometry;for(var e=t.readVarint()+t.pos,r=1,n=0,i=0,a=0,o=1/0,s=-1/0,l=1/0,c=-1/0;t.pos<e;){if(n<=0){var u=t.readVarint();r=7&u,n=u>>3}if(n--,1===r||2===r)(i+=t.readSVarint())<o&&(o=i),i>s&&(s=i),(a+=t.readSVarint())<l&&(l=a),a>c&&(c=a);else if(7!==r)throw new Error(\"unknown command \"+r)}return[o,l,s,c]},ws.prototype.toGeoJSON=function(t,e,r){var n,i,a=this.extent*Math.pow(2,r),o=this.extent*t,s=this.extent*e,l=this.loadGeometry(),c=ws.types[this.type];function u(t){for(var e=0;e<t.length;e++){var r=t[e],n=180-360*(r.y+s)/a;t[e]=[360*(r.x+o)/a-180,360/Math.PI*Math.atan(Math.exp(n*Math.PI/180))-90]}}switch(this.type){case 1:var f=[];for(n=0;n<l.length;n++)f[n]=l[n][0];u(l=f);break;case 2:for(n=0;n<l.length;n++)u(l[n]);break;case 3:for(l=function(t){var e=t.length;if(e<=1)return[t];for(var r,n,i=[],a=0;a<e;a++){var o=ks(t[a]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&i.push(r),r=[t[a]]):r.push(t[a]))}r&&i.push(r);return i}(l),n=0;n<l.length;n++)for(i=0;i<l[n].length;i++)u(l[n][i])}1===l.length?l=l[0]:c=\"Multi\"+c;var h={type:\"Feature\",geometry:{type:c,coordinates:l},properties:this.properties};return\"id\"in this&&(h.id=this.id),h};var As=Ms;function Ms(t,e){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=t,this._keys=[],this._values=[],this._features=[],t.readFields(Ss,this,e),this.length=this._features.length}function Ss(t,e,r){15===t?e.version=r.readVarint():1===t?e.name=r.readString():5===t?e.extent=r.readVarint():2===t?e._features.push(r.pos):3===t?e._keys.push(r.readString()):4===t&&e._values.push(function(t){var e=null,r=t.readVarint()+t.pos;for(;t.pos<r;){var n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}function Es(t,e,r){if(3===t){var n=new As(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Ms.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 _s(this._pbf,e,this.extent,this._keys,this._values)};var Ls={VectorTile:function(t,e){this.layers=t.readFields(Es,{},e)},VectorTileFeature:_s,VectorTileLayer:As},Cs=Ls.VectorTileFeature.types,Ps=Math.pow(2,13);function Is(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*Ps)+o,i*Ps*2,a*Ps*2,Math.round(s))}var Os=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 Ri,this.indexArray=new Yi,this.programConfigurations=new Ua(bs,t.layers,t.zoom),this.segments=new pa,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function zs(t,e){return t.x===e.x&&(t.x<0||t.x>8192)||t.y===e.y&&(t.y<0||t.y>8192)}function Ds(t){return t.every((function(t){return t.x<0}))||t.every((function(t){return t.x>8192}))||t.every((function(t){return t.y<0}))||t.every((function(t){return t.y>8192}))}Os.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=ds(\"fill-extrusion\",this.layers,e);for(var n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.feature,s=a.id,l=a.index,c=a.sourceLayerIndex,u=this.layers[0]._featureFilter.needGeometry,f={type:o.type,id:s,properties:o.properties,geometry:u?Ya(o):[]};if(this.layers[0]._featureFilter.filter(new pi(this.zoom),f,r)){var h={id:s,sourceLayerIndex:c,index:l,geometry:u?f.geometry:Ya(o),properties:o.properties,type:o.type,patterns:{}};void 0!==o.id&&(h.id=o.id),this.hasPattern?this.features.push(ms(\"fill-extrusion\",this.layers,h,this.zoom,e)):this.addFeature(h,h.geometry,l,r,{}),e.featureIndex.insert(o,h.geometry,l,c,this.index,!0)}}},Os.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)}},Os.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},Os.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},Os.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Os.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,bs),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},Os.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Os.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=hs(e,500);a<o.length;a+=1){for(var s=o[a],l=0,c=0,u=s;c<u.length;c+=1){l+=u[c].length}for(var 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&&!Ds(d))for(var m=0,g=0;g<d.length;g++){var v=d[g];if(g>=1){var y=d[g-1];if(!zs(v,y)){f.vertexLength+4>pa.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=v.sub(y)._perp()._unit(),b=y.dist(v);m+b>32768&&(m=0),Is(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,0,m),Is(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,1,m),m+=b,Is(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,m),Is(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,m);var _=f.vertexLength;this.indexArray.emplaceBack(_,_+2,_+1),this.indexArray.emplaceBack(_+1,_+2,_+3),f.vertexLength+=4,f.primitiveLength+=2}}}}if(f.vertexLength+l>pa.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),\"Polygon\"===Cs[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];Is(this.layoutVertexArray,L.x,L.y,0,0,1,1,0),w.push(L.x),w.push(L.y)}}}for(var C=Do(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}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},Nn(\"FillExtrusionBucket\",Os,{omit:[\"layers\",\"features\"]});var Rs={paint:new Si({\"fill-extrusion-opacity\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new Ti(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new ki(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new Ti(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new Ti(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})},Fs=function(t){function e(e){t.call(this,e,Rs)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new Os(t)},e.prototype.queryRadius=function(){return so(this.paint.get(\"fill-extrusion-translate\"))},e.prototype.is3D=function(){return!0},e.prototype.queryIntersectsFeature=function(t,e,r,n,a,o,s,l){var c=lo(t,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),o.angle,s),u=this.paint.get(\"fill-extrusion-height\").evaluate(e,r),f=this.paint.get(\"fill-extrusion-base\").evaluate(e,r),h=function(t,e,r,n){for(var a=[],o=0,s=t;o<s.length;o+=1){var l=s[o],c=[l.x,l.y,n,1];xo(c,c,e),a.push(new i(c[0]/c[3],c[1]/c[3]))}return a}(c,l,0,0),p=function(t,e,r,n){for(var a=[],o=[],s=n[8]*e,l=n[9]*e,c=n[10]*e,u=n[11]*e,f=n[8]*r,h=n[9]*r,p=n[10]*r,d=n[11]*r,m=0,g=t;m<g.length;m+=1){for(var v=g[m],y=[],x=[],b=0,_=v;b<_.length;b+=1){var w=_[b],T=w.x,k=w.y,A=n[0]*T+n[4]*k+n[12],M=n[1]*T+n[5]*k+n[13],S=n[2]*T+n[6]*k+n[14],E=n[3]*T+n[7]*k+n[15],L=S+c,C=E+u,P=A+f,I=M+h,O=S+p,z=E+d,D=new i((A+s)/C,(M+l)/C);D.z=L/C,y.push(D);var R=new i(P/z,I/z);R.z=O/z,x.push(R)}a.push(y),o.push(x)}return[a,o]}(n,f,u,l);return function(t,e,r){var n=1/0;Ka(r,e)&&(n=Ns(r,e[0]));for(var i=0;i<e.length;i++)for(var a=e[i],o=t[i],s=0;s<a.length-1;s++){var l=a[s],c=a[s+1],u=o[s],f=o[s+1],h=[l,c,f,u,l];Za(r,h)&&(n=Math.min(n,Ns(r,h)))}return n!==1/0&&n}(p[0],p[1],h)},e}(Ei);function Bs(t,e){return t.x*e.x+t.y*e.y}function Ns(t,e){if(1===t.length){for(var r,n=0,i=e[n++];!r||i.equals(r);)if(!(r=e[n++]))return 1/0;for(;n<e.length;n++){var a=e[n],o=t[0],s=r.sub(i),l=a.sub(i),c=o.sub(i),u=Bs(s,s),f=Bs(s,l),h=Bs(l,l),p=Bs(c,s),d=Bs(c,l),m=u*h-f*f,g=(h*p-f*d)/m,v=(u*d-f*p)/m,y=1-g-v,x=i.z*y+r.z*g+a.z*v;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 js=Ii([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4).members,Us=Ls.VectorTileFeature.types,Vs=Math.cos(Math.PI/180*37.5),Hs=Math.pow(2,14)/.5,qs=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 Fi,this.indexArray=new Yi,this.programConfigurations=new Ua(js,t.layers,t.zoom),this.segments=new pa,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};qs.prototype.populate=function(t,e,r){this.hasPattern=ds(\"line\",this.layers,e);for(var n=this.layers[0].layout.get(\"line-sort-key\"),i=[],a=0,o=t;a<o.length;a+=1){var s=o[a],l=s.feature,c=s.id,u=s.index,f=s.sourceLayerIndex,h=this.layers[0]._featureFilter.needGeometry,p={type:l.type,id:c,properties:l.properties,geometry:h?Ya(l):[]};if(this.layers[0]._featureFilter.filter(new pi(this.zoom),p,r)){h||(p.geometry=Ya(l));var d=n?n.evaluate(p,{},r):void 0,m={id:c,properties:l.properties,type:l.type,sourceLayerIndex:f,index:u,geometry:p.geometry,patterns:{},sortKey:d};i.push(m)}}n&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var g=0,v=i;g<v.length;g+=1){var y=v[g],x=y,b=x.geometry,_=x.index,w=x.sourceLayerIndex;if(this.hasPattern){var T=ms(\"line\",this.layers,y,this.zoom,e);this.patternFeatures.push(T)}else this.addFeature(y,b,_,r,{});var k=t[_].feature;e.featureIndex.insert(k,b,_,w,this.index)}},qs.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},qs.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)}},qs.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},qs.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},qs.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,js),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},qs.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},qs.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\"),c=a.get(\"line-round-limit\"),u=0,f=e;u<f.length;u+=1){var h=f[u];this.addLine(h,t,o,s,l,c)}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},qs.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\"===Us[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var c=0;c<l-1&&t[c].equals(t[c+1]);)c++;if(!(l<(s?3:2))){\"bevel\"===r&&(i=1.05);var u,f=this.overscaling<=16?122880/(512*this.overscaling):0,h=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 0,d=void 0,m=void 0,g=void 0;this.e1=this.e2=-1,s&&(u=t[l-2],g=t[c].sub(u)._unit()._perp());for(var v=c;v<l;v++)if(!(d=v===l-1?s?t[c+1]:void 0:t[v+1])||!t[v].equals(d)){g&&(m=g),u&&(p=u),u=t[v],g=d?d.sub(u)._unit()._perp():m;var y=(m=m||g).add(g);0===y.x&&0===y.y||y._unit();var x=m.x*g.x+m.y*g.y,b=y.x*g.x+y.y*g.y,_=0!==b?1/b:1/0,w=2*Math.sqrt(2-2*b),T=b<Vs&&p&&d,k=m.x*g.y-m.y*g.x>0;if(T&&v>c){var A=u.dist(p);if(A>2*f){var M=u.sub(u.sub(p)._mult(f/A)._round());this.updateDistance(p,M),this.addCurrentVertex(M,m,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,u),\"miter\"===E)y._mult(_),this.addCurrentVertex(u,y,0,0,h);else if(\"flipbevel\"===E){if(_>100)y=g.mult(-1);else{var L=_*m.add(g).mag()/m.sub(g).mag();y._perp()._mult(L*(k?-1:1))}this.addCurrentVertex(u,y,0,0,h),this.addCurrentVertex(u,y.mult(-1),0,0,h)}else if(\"bevel\"===E||\"fakeround\"===E){var C=-Math.sqrt(_*_-1),P=k?C:0,I=k?0:C;if(p&&this.addCurrentVertex(u,m,P,I,h),\"fakeround\"===E)for(var O=Math.round(180*w/Math.PI/20),z=1;z<O;z++){var D=z/O;if(.5!==D){var R=D-.5;D+=D*R*(D-1)*((1.0904+x*(x*(3.55645-1.43519*x)-3.2452))*R*R+(.848013+x*(.215638*x-1.06021)))}var F=g.sub(m)._mult(D)._add(m)._unit()._mult(k?-1:1);this.addHalfVertex(u,F.x,F.y,!1,k,0,h)}d&&this.addCurrentVertex(u,g,-P,-I,h)}else if(\"butt\"===E)this.addCurrentVertex(u,y,0,0,h);else if(\"square\"===E){var B=p?1:-1;this.addCurrentVertex(u,y,B,B,h)}else\"round\"===E&&(p&&(this.addCurrentVertex(u,m,0,0,h),this.addCurrentVertex(u,m,1,1,h,!0)),d&&(this.addCurrentVertex(u,g,-1,-1,h,!0),this.addCurrentVertex(u,g,0,0,h)));if(T&&v<l-1){var N=u.dist(d);if(N>2*f){var j=u.add(d.sub(u)._mult(f/N)._round());this.updateDistance(u,j),this.addCurrentVertex(j,g,0,0,h),u=j}}}}},qs.prototype.addCurrentVertex=function(t,e,r,n,i,a){void 0===a&&(a=!1);var o=e.x+e.y*r,s=e.y-e.x*r,l=-e.x+e.y*n,c=-e.y-e.x*n;this.addHalfVertex(t,o,s,a,!1,r,i),this.addHalfVertex(t,l,c,a,!0,-n,i),this.distance>Hs/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,i,a))},qs.prototype.addHalfVertex=function(t,e,r,n,i,a,o){var s=t.x,l=t.y,c=.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&c)<<2,c>>6);var u=o.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,u),o.primitiveLength++),i?this.e2=u:this.e1=u},qs.prototype.updateScaledDistance=function(){this.scaledDistance=this.totalDistance>0?(this.clipStart+(this.clipEnd-this.clipStart)*this.distance/this.totalDistance)*(Hs-1):this.distance},qs.prototype.updateDistance=function(t,e){this.distance+=t.dist(e),this.updateScaledDistance()},Nn(\"LineBucket\",qs,{omit:[\"layers\",\"patternFeatures\"]});var Gs=new Si({\"line-cap\":new 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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=u({},r,{zoom:Math.floor(r.zoom)}),t.prototype.evaluate.call(this,e,r,n,i)},e}(Ti))(Ys.paint.properties[\"line-width\"].specification);Ws.useIntegerZoom=!0;var Xs=function(t){function e(e){t.call(this,e,Ys)}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 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o=t[a],s=[],l=0;l<o.length;l++){var c=o[l-1],u=o[l],f=o[l+1],h=0===l?n:u.sub(c)._unit()._perp(),p=l===o.length-1?n:f.sub(u)._unit()._perp(),d=h._add(p)._unit(),m=d.x*p.x+d.y*p.y;d._mult(1/m),s.push(d._mult(e)._add(u))}r.push(s)}return r}(n,u*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(io(t,i[a]))return!0;if(Qa(t,i,r))return!0}return!1}(l,n,c)},e.prototype.isTileClipped=function(){return!0},e}(Ei);function Zs(t,e){return e>0?e+2*t:t}var 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nl=function(t,e,r,n,i){var a,o,s=8*i-n-1,l=(1<<s)-1,c=l>>1,u=-7,f=r?i-1:0,h=r?-1:1,p=t[e+f];for(f+=h,a=p&(1<<-u)-1,p>>=-u,u+=s;u>0;a=256*a+t[e+f],f+=h,u-=8);for(o=a&(1<<-u)-1,a>>=-u,u+=n;u>0;o=256*o+t[e+f],f+=h,u-=8);if(0===a)a=1-c;else{if(a===l)return o?NaN:1/0*(p?-1:1);o+=Math.pow(2,n),a-=c}return(p?-1:1)*o*Math.pow(2,a-n)},il=function(t,e,r,n,i,a){var o,s,l,c=8*a-i-1,u=(1<<c)-1,f=u>>1,h=23===i?Math.pow(2,-24)-Math.pow(2,-77):0,p=n?0:a-1,d=n?1:-1,m=e<0||0===e&&1/e<0?1:0;for(e=Math.abs(e),isNaN(e)||e===1/0?(s=isNaN(e)?1:0,o=u):(o=Math.floor(Math.log(e)/Math.LN2),e*(l=Math.pow(2,-o))<1&&(o--,l*=2),(e+=o+f>=1?h/l:h*Math.pow(2,1-f))*l>=2&&(o++,l/=2),o+f>=u?(s=0,o=u):o+f>=1?(s=(e*l-1)*Math.pow(2,i),o+=f):(s=e*Math.pow(2,f-1)*Math.pow(2,i),o=0));i>=8;t[r+p]=255&s,p+=d,s/=256,i-=8);for(o=o<<i|s,c+=i;c>0;t[r+p]=255&o,p+=d,o/=256,c-=8);t[r+p-d]|=128*m},al=ol;function ol(t){this.buf=ArrayBuffer.isView&&ArrayBuffer.isView(t)?t:new 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e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed32());return t},readPackedFixed64:function(t){if(this.type!==ol.Bytes)return t.push(this.readFixed64());var e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readFixed64());return t},readPackedSFixed64:function(t){if(this.type!==ol.Bytes)return t.push(this.readSFixed64());var e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed64());return t},skip:function(t){var e=7&t;if(e===ol.Varint)for(;this.buf[this.pos++]>127;);else if(e===ol.Bytes)this.pos=this.readVarint()+this.pos;else if(e===ol.Fixed32)this.pos+=4;else{if(e!==ol.Fixed64)throw new Error(\"Unimplemented type: \"+e);this.pos+=8}},writeTag:function(t,e){this.writeVarint(t<<3|e)},realloc:function(t){for(var e=this.length||16;e<this.pos+t;)e*=2;if(e!==this.length){var r=new Uint8Array(e);r.set(this.buf),this.buf=r,this.length=e}},finish:function(){return 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r=(7&t)<<4;if(e.buf[e.pos++]|=r|((t>>>=3)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;e.buf[e.pos++]=127&t}(n,e)}(t,this):(this.realloc(4),this.buf[this.pos++]=127&t|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=t>>>7&127))))},writeSVarint:function(t){this.writeVarint(t<0?2*-t-1:2*t)},writeBoolean:function(t){this.writeVarint(Boolean(t))},writeString:function(t){t=String(t),this.realloc(4*t.length),this.pos++;var e=this.pos;this.pos=function(t,e,r){for(var n,i,a=0;a<e.length;a++){if((n=e.charCodeAt(a))>55295&&n<57344){if(!i){n>56319||a+1===e.length?(t[r++]=239,t[r++]=191,t[r++]=189):i=n;continue}if(n<56320){t[r++]=239,t[r++]=191,t[r++]=189,i=n;continue}n=i-55296<<10|n-56320|65536,i=null}else i&&(t[r++]=239,t[r++]=191,t[r++]=189,i=null);n<128?t[r++]=n:(n<2048?t[r++]=n>>6|192:(n<65536?t[r++]=n>>12|224:(t[r++]=n>>18|240,t[r++]=n>>12&63|128),t[r++]=n>>6&63|128),t[r++]=63&n|128)}return r}(this.buf,t,this.pos);var r=this.pos-e;r>=128&&ul(e,r,this),this.pos=e-1,this.writeVarint(r),this.pos+=r},writeFloat:function(t){this.realloc(4),il(this.buf,t,this.pos,!0,23,4),this.pos+=4},writeDouble:function(t){this.realloc(8),il(this.buf,t,this.pos,!0,52,8),this.pos+=8},writeBytes:function(t){var e=t.length;this.writeVarint(e),this.realloc(e);for(var r=0;r<e;r++)this.buf[this.pos++]=t[r]},writeRawMessage:function(t,e){this.pos++;var r=this.pos;t(e,this);var n=this.pos-r;n>=128&&ul(r,n,this),this.pos=r-1,this.writeVarint(n),this.pos+=n},writeMessage:function(t,e,r){this.writeTag(t,ol.Bytes),this.writeRawMessage(e,r)},writePackedVarint:function(t,e){e.length&&this.writeMessage(t,fl,e)},writePackedSVarint:function(t,e){e.length&&this.writeMessage(t,hl,e)},writePackedBoolean:function(t,e){e.length&&this.writeMessage(t,ml,e)},writePackedFloat:function(t,e){e.length&&this.writeMessage(t,pl,e)},writePackedDouble:function(t,e){e.length&&this.writeMessage(t,dl,e)},writePackedFixed32:function(t,e){e.length&&this.writeMessage(t,gl,e)},writePackedSFixed32:function(t,e){e.length&&this.writeMessage(t,vl,e)},writePackedFixed64:function(t,e){e.length&&this.writeMessage(t,yl,e)},writePackedSFixed64:function(t,e){e.length&&this.writeMessage(t,xl,e)},writeBytesField:function(t,e){this.writeTag(t,ol.Bytes),this.writeBytes(e)},writeFixed32Field:function(t,e){this.writeTag(t,ol.Fixed32),this.writeFixed32(e)},writeSFixed32Field:function(t,e){this.writeTag(t,ol.Fixed32),this.writeSFixed32(e)},writeFixed64Field:function(t,e){this.writeTag(t,ol.Fixed64),this.writeFixed64(e)},writeSFixed64Field:function(t,e){this.writeTag(t,ol.Fixed64),this.writeSFixed64(e)},writeVarintField:function(t,e){this.writeTag(t,ol.Varint),this.writeVarint(e)},writeSVarintField:function(t,e){this.writeTag(t,ol.Varint),this.writeSVarint(e)},writeStringField:function(t,e){this.writeTag(t,ol.Bytes),this.writeString(e)},writeFloatField:function(t,e){this.writeTag(t,ol.Fixed32),this.writeFloat(e)},writeDoubleField:function(t,e){this.writeTag(t,ol.Fixed64),this.writeDouble(e)},writeBooleanField:function(t,e){this.writeVarintField(t,Boolean(e))}};function Tl(t,e,r){1===t&&r.readMessage(kl,e)}function kl(t,e,r){if(3===t){var n=r.readMessage(Al,{}),i=n.id,a=n.bitmap,o=n.width,s=n.height,l=n.left,c=n.top,u=n.advance;e.push({id:i,bitmap:new So({width:o+6,height:s+6},a),metrics:{width:o,height:s,left:l,top:c,advance:u}})}}function Al(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())}function Ml(t){for(var e=0,r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];e+=a.w*a.h,r=Math.max(r,a.w)}t.sort((function(t,e){return e.h-t.h}));for(var o=[{x:0,y:0,w:Math.max(Math.ceil(Math.sqrt(e/.95)),r),h:1/0}],s=0,l=0,c=0,u=t;c<u.length;c+=1)for(var f=u[c],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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Eo({width:o||1,height:s||1});for(var c in t){var u=t[c],f=r[c].paddedRect;Eo.copy(u.data,l,{x:0,y:0},{x:f.x+1,y:f.y+1},u.data)}for(var h in e){var p=e[h],d=n[h].paddedRect,m=d.x+1,g=d.y+1,v=p.data.width,y=p.data.height;Eo.copy(p.data,l,{x:0,y:0},{x:m,y:g},p.data),Eo.copy(p.data,l,{x:0,y:y-1},{x:m,y:g-1},{width:v,height:1}),Eo.copy(p.data,l,{x:0,y:0},{x:m,y:g+y},{width:v,height:1}),Eo.copy(p.data,l,{x:v-1,y:0},{x:m-1,y:g},{width:1,height:y}),Eo.copy(p.data,l,{x:0,y:0},{x:m+v,y:g},{width:1,height:y})}this.image=l,this.iconPositions=r,this.patternPositions=n};Ll.prototype.addImages=function(t,e,r){for(var n in t){var i=t[n],a={x:0,y:0,w:i.data.width+2,h:i.data.height+2};r.push(a),e[n]=new Sl(a,i),i.hasRenderCallback&&this.haveRenderCallbacks.push(n)}},Ll.prototype.patchUpdatedImages=function(t,e){for(var r in t.dispatchRenderCallbacks(this.haveRenderCallbacks),t.updatedImages)this.patchUpdatedImage(this.iconPositions[r],t.getImage(r),e),this.patchUpdatedImage(this.patternPositions[r],t.getImage(r),e)},Ll.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})}},Nn(\"ImagePosition\",Sl),Nn(\"ImageAtlas\",Ll);var Cl={horizontal:1,vertical:2,horizontalOnly:3};var Pl=function(){this.scale=1,this.fontStack=\"\",this.imageName=null};Pl.forText=function(t,e){var r=new Pl;return r.scale=t||1,r.fontStack=e,r},Pl.forImage=function(t){var e=new Pl;return e.imageName=t,e};var Il=function(){this.text=\"\",this.sectionIndex=[],this.sections=[],this.imageSectionID=null};function Ol(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m){var g,v=Il.fromFeature(t,i);f===Cl.vertical&&v.verticalizePunctuation();var y=hi.processBidirectionalText,x=hi.processStyledBidirectionalText;if(y&&1===v.sections.length){g=[];for(var b=0,_=y(v.toString(),jl(v,c,a,e,n,p,d));b<_.length;b+=1){var w=_[b],T=new Il;T.text=w,T.sections=v.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(v.text,v.sectionIndex,jl(v,c,a,e,n,p,d));A<M.length;A+=1){var S=M[A],E=new Il;E.text=S[0],E.sectionIndex=S[1],E.sections=v.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}(v,jl(v,c,a,e,n,p,d));var L=[],C={positionedLines:L,text:v.toString(),top:u[1],bottom:u[1],left:u[0],right:u[0],writingMode:f,iconsInText:!1,verticalizable:!1};return function(t,e,r,n,i,a,o,s,l,c,u,f){for(var h=0,p=-17,d=0,m=0,g=\"right\"===s?1:\"left\"===s?0:.5,v=0,y=0,x=i;y<x.length;y+=1){var b=x[y];b.trim();var _=b.getMaxScale(),w=24*(_-1),T={positionedGlyphs:[],lineOffset:0};t.positionedLines[v]=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,I=null,O=null,z=24,D=!(l===Cl.horizontal||!u&&!Zn(L)||u&&(zl[L]||(Y=L,Yn.Arabic(Y)||Yn[\"Arabic Supplement\"](Y)||Yn[\"Arabic Extended-A\"](Y)||Yn[\"Arabic Presentation Forms-A\"](Y)||Yn[\"Arabic Presentation Forms-B\"](Y))));if(S.imageName){var R=n[S.imageName];if(!R)continue;O=S.imageName,t.iconsInText=t.iconsInText||!0,I=R.paddedRect;var F=R.displaySize;S.scale=24*S.scale/f,P={width:F[0],height:F[1],left:1,top:-3,advance:D?F[1]:F[0]};var B=24-F[1]*S.scale;C=w+B,z=P.advance;var N=D?F[0]*S.scale-24*_:F[1]*S.scale-24*_;N>0&&N>A&&(A=N)}else{var j=r[S.fontStack],U=j&&j[L];if(U&&U.rect)I=U.rect,P=U.metrics;else{var V=e[S.fontStack],H=V&&V[L];if(!H)continue;P=H.metrics}C=24*(_-S.scale)}D?(t.verticalizable=!0,k.push({glyph:L,imageName:O,x:h,y:p+C,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:I}),h+=z*S.scale+c):(k.push({glyph:L,imageName:O,x:h,y:p+C,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:I}),h+=P.advance*S.scale+c)}if(0!==k.length){var q=h-c;d=Math.max(q,d),Vl(k,0,k.length-1,g,A)}h=0;var G=a*_+A;T.lineOffset=Math.max(A,w),p+=G,m=Math.max(G,m),++v}else p+=a,++v}var Y;var W=p- -17,X=Ul(o),Z=X.horizontalAlign,J=X.verticalAlign;(function(t,e,r,n,i,a,o,s,l){var c=(e-r)*i,u=0;u=a!==o?-s*n- -17:(-n*l+.5)*o;for(var f=0,h=t;f<h.length;f+=1)for(var p=h[f],d=0,m=p.positionedGlyphs;d<m.length;d+=1){var g=m[d];g.x+=c,g.y+=u}})(t.positionedLines,g,Z,J,d,m,a,W,i.length),t.top+=-J*W,t.bottom=t.top+W,t.left+=-Z*d,t.right=t.left+d}(C,e,r,n,g,o,s,l,f,c,h,m),!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}Il.fromFeature=function(t,e){for(var r=new Il,n=0;n<t.sections.length;n++){var i=t.sections[n];i.image?r.addImageSection(i):r.addTextSection(i,e)}return r},Il.prototype.length=function(){return this.text.length},Il.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},Il.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},Il.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},Il.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||!Jn(n)||rl[t[r+1]])&&(!i||!Jn(i)||rl[t[r-1]])&&rl[t[r]]?e+=rl[t[r]]:e+=t[r]}return e}(this.text)},Il.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&zl[this.text.charCodeAt(e)];e++)t++;for(var 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e=this.data,r=this.compare,n=this.length>>1,i=e[t];t<n;){var a=1+(t<<1),o=e[a],s=a+1;if(s<this.length&&r(e[s],o)<0&&(a=s,o=e[s]),r(o,i)>=0)break;e[t]=o,t=a}e[t]=i};var pc=Number.POSITIVE_INFINITY;function dc(t,e){return e[1]!==pc?function(t,e,r){var n=0,i=0;switch(e=Math.abs(e),r=Math.abs(r),t){case\"top-right\":case\"top-left\":case\"top\":i=r-7;break;case\"bottom-right\":case\"bottom-left\":case\"bottom\":i=7-r}switch(t){case\"top-right\":case\"bottom-right\":case\"right\":n=-e;break;case\"top-left\":case\"bottom-left\":case\"left\":n=e}return[n,i]}(t,e[0],e[1]):function(t,e){var r=0,n=0;e<0&&(e=0);var i=e/Math.sqrt(2);switch(t){case\"top-right\":case\"top-left\":n=i-7;break;case\"bottom-right\":case\"bottom-left\":n=7-i;break;case\"bottom\":n=7-e;break;case\"top\":n=e-7}switch(t){case\"top-right\":case\"bottom-right\":r=-i;break;case\"top-left\":case\"bottom-left\":r=i;break;case\"left\":r=e;break;case\"right\":r=-e}return[r,n]}(t,e[0])}function mc(t){switch(t){case\"right\":case\"top-right\":case\"bottom-right\":return\"right\";case\"left\":case\"top-left\":case\"bottom-left\":return\"left\"}return\"center\"}function gc(t,e,r,n,a,o,s,l,c,u,f,h,p,d,m){var g=function(t,e,r,n,a,o,s,l){for(var c=n.layout.get(\"text-rotate\").evaluate(o,{})*Math.PI/180,u=[],f=0,h=e.positionedLines;f<h.length;f+=1)for(var p=h[f],d=0,m=p.positionedGlyphs;d<m.length;d+=1){var g=m[d];if(g.rect){var v=g.rect||{},y=4,x=!0,b=1,_=0,w=(a||l)&&g.vertical,T=g.metrics.advance*g.scale/2;if(l&&e.verticalizable){var k=24*(g.scale-1),A=(24-g.metrics.width*g.scale)/2;_=p.lineOffset/2-(g.imageName?-A:k)}if(g.imageName){var M=s[g.imageName];x=M.sdf,y=1/(b=M.pixelRatio)}var S=a?[g.x+T,g.y]:[0,0],E=a?[0,0]:[g.x+T+r[0],g.y+r[1]-_],L=[0,0];w&&(L=E,E=[0,0]);var C=(g.metrics.left-y)*g.scale-T+E[0],P=(-g.metrics.top-y)*g.scale+E[1],I=C+v.w*g.scale/b,O=P+v.h*g.scale/b,z=new i(C,P),D=new i(I,P),R=new i(C,O),F=new i(I,O);if(w){var B=new i(-T,T- -17),N=-Math.PI/2,j=12-T,U=g.imageName?j:0,V=new i(22-j,-U),H=new(Function.prototype.bind.apply(i,[null].concat(L)));z._rotateAround(N,B)._add(V)._add(H),D._rotateAround(N,B)._add(V)._add(H),R._rotateAround(N,B)._add(V)._add(H),F._rotateAround(N,B)._add(V)._add(H)}if(c){var q=Math.sin(c),G=Math.cos(c),Y=[G,-q,q,G];z._matMult(Y),D._matMult(Y),R._matMult(Y),F._matMult(Y)}var W=new i(0,0),X=new i(0,0);u.push({tl:z,tr:D,bl:R,br:F,tex:v,writingMode:e.writingMode,glyphOffset:S,sectionIndex:g.sectionIndex,isSDF:x,pixelOffsetTL:W,pixelOffsetBR:X,minFontScaleX:0,minFontScaleY:0})}}return u}(0,r,l,a,o,s,n,t.allowVerticalPlacement),v=t.textSizeData,y=null;\"source\"===v.kind?(y=[128*a.layout.get(\"text-size\").evaluate(s,{})])[0]>32640&&_(t.layerIds[0]+': Value for \"text-size\" is >= 255. Reduce your \"text-size\".'):\"composite\"===v.kind&&((y=[128*d.compositeTextSizes[0].evaluate(s,{},m),128*d.compositeTextSizes[1].evaluate(s,{},m)])[0]>32640||y[1]>32640)&&_(t.layerIds[0]+': Value for \"text-size\" is >= 255. Reduce your \"text-size\".'),t.addSymbols(t.text,g,y,l,o,s,u,e,c.lineStartIndex,c.lineLength,p,m);for(var x=0,b=f;x<b.length;x+=1){h[b[x]]=t.text.placedSymbolArray.length-1}return 4*g.length}function vc(t){for(var e in t)return t[e];return null}function yc(t,e,r,n){var i=t.compareText;if(e in i){for(var a=i[e],o=a.length-1;o>=0;o--)if(n.dist(a[o])<r)return!0}else i[e]=[];return i[e].push(n),!1}var xc=Ls.VectorTileFeature.types,bc=[{name:\"a_fade_opacity\",components:1,type:\"Uint8\",offset:0}];function _c(t,e,r,n,i,a,o,s,l,c,u,f,h){var p=s?Math.min(32640,Math.round(s[0])):0,d=s?Math.min(32640,Math.round(s[1])):0;t.emplaceBack(e,r,Math.round(32*n),Math.round(32*i),a,o,(p<<1)+(l?1:0),d,16*c,16*u,256*f,256*h)}function wc(t,e,r){t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r)}function Tc(t){for(var e=0,r=t.sections;e<r.length;e+=1){if($n(r[e].text))return!0}return!1}var kc=function(t){this.layoutVertexArray=new Ni,this.indexArray=new Yi,this.programConfigurations=t,this.segments=new pa,this.dynamicLayoutVertexArray=new ji,this.opacityVertexArray=new Ui,this.placedSymbolArray=new aa};kc.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length&&0===this.indexArray.length&&0===this.dynamicLayoutVertexArray.length&&0===this.opacityVertexArray.length},kc.prototype.upload=function(t,e,r,n){this.isEmpty()||(r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Js.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,Ks.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,bc,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t))},kc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},Nn(\"SymbolBuffers\",kc);var Ac=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new pa,this.collisionVertexArray=new Gi};Ac.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,Qs.members,!0)},Ac.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},Nn(\"CollisionBuffers\",Ac);var Mc=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=ho([]),this.placementViewportMatrix=ho([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=Gl(this.zoom,e[\"text-size\"]),this.iconSizeData=Gl(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 Cl[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};Mc.prototype.createArrays=function(){this.text=new kc(new Ua(Js.members,this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new kc(new Ua(Js.members,this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new la,this.lineVertexArray=new ca,this.symbolInstances=new sa},Mc.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=rl[t.charAt(a)];o&&(e[o.charCodeAt(0)]=!0)}},Mc.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 ne&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&(\"constant\"!==a.value.kind||a.value.value.length>0),c=\"constant\"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,u=i.get(\"symbol-sort-key\");if(this.features=[],l||c){for(var f=e.iconDependencies,h=e.glyphDependencies,p=e.availableImages,d=new pi(this.zoom),m=0,g=t;m<g.length;m+=1){var v=g[m],y=v.feature,x=v.id,b=v.index,_=v.sourceLayerIndex,w=n._featureFilter.needGeometry,T={type:y.type,id:x,properties:y.properties,geometry:w?Ya(y):[]};if(n._featureFilter.filter(d,T,r)){w||(T.geometry=Ya(y));var k=void 0;if(l){var A=n.getValueAndResolveTokens(\"text-field\",T,r,p),M=ne.factory(A);Tc(M)&&(this.hasRTLText=!0),(!this.hasRTLText||\"unavailable\"===ui()||this.hasRTLText&&hi.isParsed())&&(k=el(M,n,T))}var S=void 0;if(c){var E=n.getValueAndResolveTokens(\"icon-image\",T,r,p);S=E instanceof ie?E:ie.fromString(E)}if(k||S){var L=this.sortFeaturesByKey?u.evaluate(T,{},r):void 0,C={id:x,text:k,icon:S,index:b,sourceLayerIndex:_,geometry:Ya(y),properties:y.properties,type:xc[y.type],sortKey:L};if(this.features.push(C),S&&(f[S.name]=!0),k){var P=a.evaluate(T,{},r).join(\",\"),I=\"map\"===i.get(\"text-rotation-alignment\")&&\"point\"!==i.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(Cl.vertical)>=0;for(var O=0,z=k.sections;O<z.length;O+=1){var D=z[O];if(D.image)f[D.image.name]=!0;else{var R=Wn(k.toString()),F=D.fontStack||P,B=h[F]=h[F]||{};this.calculateGlyphDependencies(D.text,B,I,this.allowVerticalPlacement,R)}}}}}}\"line\"===i.get(\"symbol-placement\")&&(this.features=function(t){var e={},r={},n=[],i=0;function a(e){n.push(t[e]),i++}function o(t,e,i){var a=r[t];return delete r[t],r[e]=a,n[a].geometry[0].pop(),n[a].geometry[0]=n[a].geometry[0].concat(i[0]),a}function s(t,r,i){var a=e[r];return delete e[r],e[t]=a,n[a].geometry[0].shift(),n[a].geometry[0]=i[0].concat(n[a].geometry[0]),a}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+\":\"+n.x+\":\"+n.y}for(var c=0;c<t.length;c++){var u=t[c],f=u.geometry,h=u.text?u.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 m=s(p,d,f),g=o(p,d,n[m].geometry);delete e[p],delete r[d],r[l(h,n[g].geometry,!0)]=g,n[m].geometry=null}else p in r?o(p,d,f):d in e?s(p,d,f):(a(c),e[p]=i-1,r[d]=i-1)}else a(c)}return n.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}))}},Mc.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))},Mc.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},Mc.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},Mc.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},Mc.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},Mc.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},Mc.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),i=t.dist(e[t.segment]),a={},o=t.segment+1;o<e.length;o++)a[o]={x:e[o].x,y:e[o].y,tileUnitDistanceFromAnchor:n},o<e.length-1&&(n+=e[o+1].dist(e[o]));for(var s=t.segment||0;s>=0;s--)a[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:i},s>0&&(i+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var c=a[l];this.lineVertexArray.emplaceBack(c.x,c.y,c.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},Mc.prototype.addSymbols=function(t,e,r,n,i,a,o,s,l,c,u,f){for(var h=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,h,a.sortKey),m=this.glyphOffsetArray.length,g=d.vertexLength,v=this.allowVerticalPlacement&&o===Cl.vertical?Math.PI/2:0,y=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,I=b.sectionIndex,O=d.vertexLength,z=C[1];_c(p,s.x,s.y,_.x,z+_.y,A.x,A.y,r,P,M.x,M.y,E,L),_c(p,s.x,s.y,w.x,z+w.y,A.x+A.w,A.y,r,P,S.x,M.y,E,L),_c(p,s.x,s.y,T.x,z+T.y,A.x,A.y+A.h,r,P,M.x,S.y,E,L),_c(p,s.x,s.y,k.x,z+k.y,A.x+A.w,A.y+A.h,r,P,S.x,S.y,E,L),wc(t.dynamicLayoutVertexArray,s,v),h.emplaceBack(O,O+1,O+2),h.emplaceBack(O+1,O+2,O+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(C[0]),x!==e.length-1&&I===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,a,a.index,{},f,y&&y[I])}t.placedSymbolArray.emplaceBack(s.x,s.y,m,this.glyphOffsetArray.length-m,g,l,c,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,u)},Mc.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))},Mc.prototype.addCollisionDebugVertices=function(t,e,r,n,a,o,s){var l=a.segments.prepareSegment(4,a.layoutVertexArray,a.indexArray),c=l.vertexLength,u=a.layoutVertexArray,f=a.collisionVertexArray,h=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(u,f,o,h,p,new i(t,e)),this._addCollisionDebugVertex(u,f,o,h,p,new i(r,e)),this._addCollisionDebugVertex(u,f,o,h,p,new i(r,n)),this._addCollisionDebugVertex(u,f,o,h,p,new i(t,n)),l.vertexLength+=4;var d=a.indexArray;d.emplaceBack(c,c+1),d.emplaceBack(c+1,c+2),d.emplaceBack(c+2,c+3),d.emplaceBack(c+3,c),l.primitiveLength+=4},Mc.prototype.addDebugCollisionBoxes=function(t,e,r,n){for(var i=t;i<e;i++){var a=this.collisionBoxArray.get(i),o=a.x1,s=a.y1,l=a.x2,c=a.y2;this.addCollisionDebugVertices(o,s,l,c,n?this.textCollisionBox:this.iconCollisionBox,a.anchorPoint,r)}},Mc.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new Ac(Hi,$s.members,Qi),this.iconCollisionBox=new Ac(Hi,$s.members,Qi);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)}},Mc.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,i,a,o,s,l){for(var c={},u=e;u<r;u++){var f=t.get(u);c.textBox={x1:f.x1,y1:f.y1,x2:f.x2,y2:f.y2,anchorPointX:f.anchorPointX,anchorPointY:f.anchorPointY},c.textFeatureIndex=f.featureIndex;break}for(var h=n;h<i;h++){var p=t.get(h);c.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},c.verticalTextFeatureIndex=p.featureIndex;break}for(var d=a;d<o;d++){var m=t.get(d);c.iconBox={x1:m.x1,y1:m.y1,x2:m.x2,y2:m.y2,anchorPointX:m.anchorPointX,anchorPointY:m.anchorPointY},c.iconFeatureIndex=m.featureIndex;break}for(var g=s;g<l;g++){var v=t.get(g);c.verticalIconBox={x1:v.x1,y1:v.y1,x2:v.x2,y2:v.y2,anchorPointX:v.anchorPointX,anchorPointY:v.anchorPointY},c.verticalIconFeatureIndex=v.featureIndex;break}return c},Mc.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))}},Mc.prototype.hasTextData=function(){return this.text.segments.get().length>0},Mc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},Mc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},Mc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},Mc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},Mc.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)},Mc.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},Mc.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})},Mc.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)}},Nn(\"SymbolBucket\",Mc,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),Mc.MAX_GLYPHS=65535,Mc.addDynamicAttributes=wc;var Sc=new Si({\"symbol-placement\":new wi(Lt.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new wi(Lt.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new wi(Lt.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new Ti(Lt.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new wi(Lt.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new wi(Lt.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new wi(Lt.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new wi(Lt.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new wi(Lt.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new Ti(Lt.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new wi(Lt.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new wi(Lt.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new Ti(Lt.layout_symbol[\"icon-image\"]),\"icon-rotate\":new Ti(Lt.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new wi(Lt.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new wi(Lt.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new Ti(Lt.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new Ti(Lt.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new wi(Lt.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new wi(Lt.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new wi(Lt.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new Ti(Lt.layout_symbol[\"text-field\"]),\"text-font\":new Ti(Lt.layout_symbol[\"text-font\"]),\"text-size\":new Ti(Lt.layout_symbol[\"text-size\"]),\"text-max-width\":new Ti(Lt.layout_symbol[\"text-max-width\"]),\"text-line-height\":new wi(Lt.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new Ti(Lt.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new Ti(Lt.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new Ti(Lt.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new wi(Lt.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new Ti(Lt.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new wi(Lt.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new wi(Lt.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new Ti(Lt.layout_symbol[\"text-rotate\"]),\"text-padding\":new wi(Lt.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new wi(Lt.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new Ti(Lt.layout_symbol[\"text-transform\"]),\"text-offset\":new Ti(Lt.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new wi(Lt.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new wi(Lt.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new wi(Lt.layout_symbol[\"text-optional\"])}),Ec={paint:new Si({\"icon-opacity\":new Ti(Lt.paint_symbol[\"icon-opacity\"]),\"icon-color\":new Ti(Lt.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new Ti(Lt.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new Ti(Lt.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new Ti(Lt.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new wi(Lt.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new wi(Lt.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new Ti(Lt.paint_symbol[\"text-opacity\"]),\"text-color\":new Ti(Lt.paint_symbol[\"text-color\"],{runtimeType:Ut,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new Ti(Lt.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new Ti(Lt.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new Ti(Lt.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new wi(Lt.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new wi(Lt.paint_symbol[\"text-translate-anchor\"])}),layout:Sc},Lc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Ft,this.defaultValue=t};Lc.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},Lc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},Lc.prototype.outputDefined=function(){return!1},Lc.prototype.serialize=function(){return null},Nn(\"FormatSectionOverride\",Lc,{omit:[\"defaultValue\"]});var Cc=function(t){function e(e){t.call(this,e,Ec)}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()||Yr(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 Mc(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=Ec.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var i=this.paint.get(n),a=new Lc(i),o=new Gr(a,i.property.specification),s=null;s=\"constant\"===i.value.kind||\"source\"===i.value.kind?new Xr(\"source\",o):new Zr(\"composite\",o,i.value.zoomStops,i.value._interpolationType),this.paint._values[n]=new bi(i.property,s,i.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=Ec.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 ne)a(r.value.value.sections);else if(\"source\"===r.value.kind){var o=function(t){if(!i)if(t instanceof ce&&se(t.value)===Gt){var e=t.value;a(e.sections)}else t instanceof pe?a(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return i},e}(Ei),Pc={paint:new Si({\"background-color\":new wi(Lt.paint_background[\"background-color\"]),\"background-pattern\":new Ai(Lt.paint_background[\"background-pattern\"]),\"background-opacity\":new wi(Lt.paint_background[\"background-opacity\"])})},Ic=function(t){function e(e){t.call(this,e,Pc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ei),Oc={paint:new Si({\"raster-opacity\":new wi(Lt.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new wi(Lt.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new wi(Lt.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new wi(Lt.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new wi(Lt.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new wi(Lt.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new wi(Lt.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new wi(Lt.paint_raster[\"raster-fade-duration\"])})},zc=function(t){function e(e){t.call(this,e,Oc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ei);var Dc=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}(Ei),Rc={circle:_o,heatmap:Po,hillshade:Oo,fill:xs,\"fill-extrusion\":Fs,line:Xs,symbol:Cc,background:Ic,raster:zc};var Fc=self.HTMLImageElement,Bc=self.HTMLCanvasElement,Nc=self.HTMLVideoElement,jc=self.ImageData,Uc=self.ImageBitmap,Vc=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Vc.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 Fc||t instanceof Bc||t instanceof Nc||t instanceof jc||Uc&&t instanceof Uc?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,i,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},c=l.x,u=l.y;t instanceof Fc||t instanceof Bc||t instanceof Nc||t instanceof jc||Uc&&t instanceof Uc?s.texSubImage2D(s.TEXTURE_2D,0,c,u,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,c,u,n,i,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Vc.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)},Vc.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Vc.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var Hc=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()})};Hc.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))},Hc.prototype.remove=function(){delete this._channel,this._callback=function(){}};var qc=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},m([\"receive\",\"process\"],this),this.invoker=new Hc(this.process),this.target.addEventListener(\"message\",this.receive,!1),this.globalScope=k()?t:self};function Gc(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]}qc.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=S(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:i,sourceMapId:this.mapId,data:Hn(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:\"<cancel>\",targetMapId:n,sourceMapId:a.mapId})}}},qc.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 k()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},qc.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)}},qc.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(qn(e.error)):n(null,qn(e.data)))}else{var i=!1,a=S(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?Hn(e):null,data:Hn(n,a)},a)}:function(t){i=!0},s=null,l=qn(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var c=e.type.split(\".\");s=this.parent.getWorkerSource(e.sourceMapId,c[0],l.source)[c[1]](l,o)}else o(new Error(\"Could not find function \"+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},qc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var Yc=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]))};Yc.prototype.setNorthEast=function(t){return this._ne=t instanceof Wc?new Wc(t.lng,t.lat):Wc.convert(t),this},Yc.prototype.setSouthWest=function(t){return this._sw=t instanceof Wc?new Wc(t.lng,t.lat):Wc.convert(t),this},Yc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Wc)e=t,r=t;else{if(!(t instanceof Yc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Yc.convert(a))}var o=t;return this.extend(Wc.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 Wc(e.lng,e.lat),this._ne=new Wc(r.lng,r.lat)),this},Yc.prototype.getCenter=function(){return new Wc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Yc.prototype.getSouthWest=function(){return this._sw},Yc.prototype.getNorthEast=function(){return this._ne},Yc.prototype.getNorthWest=function(){return new Wc(this.getWest(),this.getNorth())},Yc.prototype.getSouthEast=function(){return new Wc(this.getEast(),this.getSouth())},Yc.prototype.getWest=function(){return this._sw.lng},Yc.prototype.getSouth=function(){return this._sw.lat},Yc.prototype.getEast=function(){return this._ne.lng},Yc.prototype.getNorth=function(){return this._ne.lat},Yc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Yc.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Yc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Yc.prototype.contains=function(t){var e=Wc.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},Yc.convert=function(t){return!t||t instanceof Yc?t:new Yc(t)};var Wc=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\")};Wc.prototype.wrap=function(){return new Wc(c(this.lng,-180,180),this.lat)},Wc.prototype.toArray=function(){return[this.lng,this.lat]},Wc.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Wc.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 6371008.8*Math.acos(Math.min(i,1))},Wc.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 Yc(new Wc(this.lng-r,this.lat-e),new Wc(this.lng+r,this.lat+e))},Wc.convert=function(t){if(t instanceof Wc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Wc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new Wc(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 Xc=2*Math.PI*6371008.8;function Zc(t){return Xc*Math.cos(t*Math.PI/180)}function Jc(t){return(180+t)/360}function Kc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Qc(t,e){return t/Zc(e)}function $c(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var tu=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};tu.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Wc.convert(t);return new tu(Jc(r.lng),Kc(r.lat),Qc(e,r.lat))},tu.prototype.toLngLat=function(){return new Wc(360*this.x-180,$c(this.y))},tu.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Zc($c(e));var t,e},tu.prototype.meterInMercatorCoordinateUnits=function(){return 1/Xc*(t=$c(this.y),1/Math.cos(t*Math.PI/180));var t};var eu=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=iu(0,t,t,e,r)};eu.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},eu.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Gc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Gc(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)},eu.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new i(8192*(t.x*e-this.x),8192*(t.y*e-this.y))},eu.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y};var ru=function(t,e){this.wrap=t,this.canonical=e,this.key=iu(t,e.z,e.z,e.x,e.y)},nu=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new eu(r,+n,+i),this.key=iu(e,t,r,n,i)};function iu(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)}nu.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},nu.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new nu(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new nu(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},nu.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?iu(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):iu(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},nu.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},nu.prototype.children=function(t){if(this.overscaledZ>=t)return[new nu(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 nu(e,this.wrap,e,r,n),new nu(e,this.wrap,e,r+1,n),new nu(e,this.wrap,e,r,n+1),new nu(e,this.wrap,e,r+1,n+1)]},nu.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))},nu.prototype.wrapped=function(){return new nu(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},nu.prototype.unwrapTo=function(t){return new nu(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},nu.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},nu.prototype.toUnwrapped=function(){return new ru(this.wrap,this.canonical)},nu.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},nu.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new tu(t.x-this.wrap,t.y))},Nn(\"CanonicalTileID\",eu),Nn(\"OverscaledTileID\",nu,{omit:[\"posMatrix\"]});var au=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 _('\"'+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)]};au.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])},au.prototype.getUnpackVector=function(){return\"terrarium\"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},au.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)},au.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},au.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},au.prototype.getPixels=function(){return new Eo({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},au.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,c=a;c<o;c++)for(var u=n;u<i;u++)this.data[this._idx(u,c)]=t.data[this._idx(u+s,c+l)]},Nn(\"DEMData\",au);var ou=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}};ou.prototype.encode=function(t){return this._stringToNumber[t]},ou.prototype.decode=function(t){return this._numberToString[t]};var su=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},lu={geometry:{configurable:!0}};lu.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},lu.geometry.set=function(t){this._geometry=t},su.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(su.prototype,lu);var cu=function(){this.state={},this.stateChanges={},this.deletedStates={}};cu.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]||{},u(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]}},cu.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}},cu.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},i=this.stateChanges[t]||{},a=u({},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},cu.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},cu.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]={}),u(this.state[n][a],this.stateChanges[n][a]),i[a]=this.state[n][a];r[n]=i}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var c in this.deletedStates[o]){if(null===this.deletedStates[o][c])this.state[o][c]={};else for(var f=0,h=Object.keys(this.deletedStates[o][c]);f<h.length;f+=1){var p=h[f];delete this.state[o][c][p]}s[c]=this.state[o][c]}r[o]=r[o]||{},u(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t){t[d].setFeatureState(r,e)}};var uu=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new zn(8192,16,0),this.grid3D=new zn(8192,16,0),this.featureIndexArray=new fa,this.promoteId=e};function fu(t,e,r,n,i){return v(t,(function(t,a){var o=e instanceof _i?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function hu(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 pu(t,e){return e-t}uu.prototype.insert=function(t,e,r,n,i,a){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,i);for(var s=a?this.grid3D:this.grid,l=0;l<e.length;l++){for(var c=e[l],u=[1/0,1/0,-1/0,-1/0],f=0;f<c.length;f++){var h=c[f];u[0]=Math.min(u[0],h.x),u[1]=Math.min(u[1],h.y),u[2]=Math.max(u[2],h.x),u[3]=Math.max(u[3],h.y)}u[0]<8192&&u[1]<8192&&u[2]>=0&&u[3]>=0&&s.insert(o,u[0],u[1],u[2],u[3])}},uu.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new Ls.VectorTile(new al(this.rawTileData)).layers,this.sourceLayerCoder=new ou(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},uu.prototype.query=function(t,e,r,n){var a=this;this.loadVTLayers();for(var o=t.params||{},s=8192/t.tileSize/t.scale,l=sn(o.filter),c=t.queryGeometry,u=t.queryPadding*s,f=hu(c),h=this.grid.query(f.minX-u,f.minY-u,f.maxX+u,f.maxY+u),p=hu(t.cameraQueryGeometry),d=this.grid3D.query(p.minX-u,p.minY-u,p.maxX+u,p.maxY+u,(function(e,r,n,a){return function(t,e,r,n,a){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&&a>=l.y)return!0}var c=[new i(e,r),new i(e,a),new i(n,a),new i(n,r)];if(t.length>2)for(var u=0,f=c;u<f.length;u+=1){if(io(t,f[u]))return!0}for(var h=0;h<t.length-1;h++){if(ao(t[h],t[h+1],c))return!0}return!1}(t.cameraQueryGeometry,e-u,r-u,n+u,a+u)})),m=0,g=d;m<g.length;m+=1){var v=g[m];h.push(v)}h.sort(pu);for(var y,x={},b=function(i){var u=h[i];if(u!==y){y=u;var f=a.featureIndexArray.get(u),p=null;a.loadMatchingFeature(x,f.bucketIndex,f.sourceLayerIndex,f.featureIndex,l,o.layers,o.availableImages,e,r,n,(function(e,r,n){return p||(p=Ya(e)),r.queryIntersectsFeature(c,e,n,p,a.z,t.transform,s,t.pixelPosMatrix)}))}},_=0;_<h.length;_++)b(_);return x},uu.prototype.loadMatchingFeature=function(t,e,r,n,i,a,o,s,l,c,u){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),m=0;m<f.length;m++){var g=f[m];if(!(a&&a.indexOf(g)<0)){var v=s[g];if(v){var y={};void 0!==d&&c&&(y=c.getState(v.sourceLayer||\"_geojsonTileLayer\",d));var x=l[g];x.paint=fu(x.paint,v.paint,p,y,o),x.layout=fu(x.layout,v.layout,p,y,o);var b=!u||u(p,v,y);if(b){var _=new su(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})}}}}}},uu.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a,o,s){var l={};this.loadVTLayers();for(var c=sn(i),u=0,f=t;u<f.length;u+=1){var h=f[u];this.loadMatchingFeature(l,r,n,h,c,a,o,s,e)}return l},uu.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},uu.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},Nn(\"FeatureIndex\",uu,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});var du=function(t,e){this.tileID=t,this.uid=h(),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\"};du.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<R.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},du.prototype.wasRequested=function(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state},du.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 Mc){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 Mc&&o.hasRTLText){this.hasRTLText=!0,hi.isLoading()||hi.isLoaded()||\"deferred\"!==ui()||fi();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 na},du.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\"},du.prototype.getBucket=function(t){return this.buckets[t.id]},du.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 Vc(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Vc(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},du.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},du.prototype.queryRenderedFeatures=function(t,e,r,n,i,a,o,s,l,c){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:c,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},du.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=sn(e&&e.filter),s=this.tileID.canonical,l=s.z,c=s.x,u=s.y,f={z:l,x:c,y:u},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),m=new su(p,l,c,u,d);m.tile=f,t.push(m)}}}},du.prototype.hasData=function(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state},du.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},du.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=A(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}},du.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)},du.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)))}}}},du.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},du.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<R.now()},du.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},du.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=R.now()+t},du.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},du.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 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r},t.makeRequest=yt,t.mapObject=v,t.mercatorXfromLng=Jc,t.mercatorYfromLat=Kc,t.mercatorZfromAltitude=Qc,t.mul=mo,t.multiply=po,t.mvt=Ls,t.normalize=function(t,e){var r=e[0],n=e[1],i=e[2],a=r*r+n*n+i*i;return a>0&&(a=1/Math.sqrt(a)),t[0]=e[0]*a,t[1]=e[1]*a,t[2]=e[2]*a,t},t.number=qe,t.offscreenCanvasSupported=pt,t.ortho=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t},t.parseGlyphPBF=function(t){return new al(t).readFields(Tl,[])},t.pbf=al,t.performSymbolLayout=function(t,e,r,n,i,a,o){t.createArrays();var s=512*t.overscaling;t.tilePixelRatio=8192/s,t.compareText={},t.iconsNeedLinear=!1;var l=t.layers[0].layout,c=t.layers[0]._unevaluatedLayout._values,u={};if(\"composite\"===t.textSizeData.kind){var f=t.textSizeData,h=f.minZoom,p=f.maxZoom;u.compositeTextSizes=[c[\"text-size\"].possiblyEvaluate(new 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g=(c+1)%2;(0===c?r-i<=d:n-i<=m)&&(o.push(f),o.push(p-1),o.push(g)),(0===c?r+i>=d:n+i>=m)&&(o.push(p+1),o.push(u),o.push(g))}}return s}(this.ids,this.coords,t,e,r,this.nodeSize)};var j={minZoom:0,maxZoom:16,radius:40,extent:512,nodeSize:64,log:!1,generateId:!1,reduce:null,map:function(t){return t}},U=function(t){this.options=X(Object.create(j),t),this.trees=new Array(this.options.maxZoom+1)};function V(t,e,r,n,i){return{x:t,y:e,zoom:1/0,id:r,parentId:-1,numPoints:n,properties:i}}function H(t,e){var r=t.geometry.coordinates,n=r[0],i=r[1];return{x:Y(n),y:W(i),zoom:1/0,index:e,parentId:-1}}function q(t){return{type:\"Feature\",id:t.id,properties:G(t),geometry:{type:\"Point\",coordinates:[(n=t.x,360*(n-.5)),(e=t.y,r=(180-360*e)*Math.PI/180,360*Math.atan(Math.exp(r))/Math.PI-90)]}};var e,r,n}function G(t){var e=t.numPoints,r=e>=1e4?Math.round(e/1e3)+\"k\":e>=1e3?Math.round(e/100)/10+\"k\":e;return 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r=0;r<e.length;r+=3)t.minX=Math.min(t.minX,e[r]),t.minY=Math.min(t.minY,e[r+1]),t.maxX=Math.max(t.maxX,e[r]),t.maxY=Math.max(t.maxY,e[r+1])}function tt(t,e,r,n){if(e.geometry){var i=e.geometry.coordinates,a=e.geometry.type,o=Math.pow(r.tolerance/((1<<r.maxZoom)*r.extent),2),s=[],l=e.id;if(r.promoteId?l=e.properties[r.promoteId]:r.generateId&&(l=n||0),\"Point\"===a)et(i,s);else if(\"MultiPoint\"===a)for(var c=0;c<i.length;c++)et(i[c],s);else if(\"LineString\"===a)rt(i,s,o,!1);else if(\"MultiLineString\"===a){if(r.lineMetrics){for(c=0;c<i.length;c++)s=[],rt(i[c],s,o,!1),t.push(Q(l,\"LineString\",s,e.properties));return}nt(i,s,o,!1)}else if(\"Polygon\"===a)nt(i,s,o,!0);else{if(\"MultiPolygon\"!==a){if(\"GeometryCollection\"===a){for(c=0;c<e.geometry.geometries.length;c++)tt(t,{id:l,geometry:e.geometry.geometries[c],properties:e.properties},r,n);return}throw new Error(\"Input data is not a valid GeoJSON object.\")}for(c=0;c<i.length;c++){var 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u=t[c],f=u.geometry,h=u.type,p=0===i?u.minX:u.minY,d=0===i?u.maxX:u.maxY;if(p>=r&&d<n)l.push(u);else if(!(d<r||p>=n)){var m=[];if(\"Point\"===h||\"MultiPoint\"===h)st(f,m,r,n,i);else if(\"LineString\"===h)lt(f,m,r,n,i,!1,s.lineMetrics);else if(\"MultiLineString\"===h)ut(f,m,r,n,i,!1);else if(\"Polygon\"===h)ut(f,m,r,n,i,!0);else if(\"MultiPolygon\"===h)for(var g=0;g<f.length;g++){var v=[];ut(f[g],v,r,n,i,!0),v.length&&m.push(v)}if(m.length){if(s.lineMetrics&&\"LineString\"===h){for(g=0;g<m.length;g++)l.push(Q(u.id,h,m[g],u.tags));continue}\"LineString\"!==h&&\"MultiLineString\"!==h||(1===m.length?(h=\"LineString\",m=m[0]):h=\"MultiLineString\"),\"Point\"!==h&&\"MultiPoint\"!==h||(h=3===m.length?\"Point\":\"MultiPoint\"),l.push(Q(u.id,h,m,u.tags))}}}return l.length?l:null}function st(t,e,r,n,i){for(var a=0;a<t.length;a+=3){var o=t[a+i];o>=r&&o<=n&&(e.push(t[a]),e.push(t[a+1]),e.push(t[a+2]))}}function lt(t,e,r,n,i,a,o){for(var 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r=[],n=0;n<t.length;n++){var i,a=t[n],o=a.type;if(\"Point\"===o||\"MultiPoint\"===o||\"LineString\"===o)i=mt(a.geometry,e);else if(\"MultiLineString\"===o||\"Polygon\"===o){i=[];for(var s=0;s<a.geometry.length;s++)i.push(mt(a.geometry[s],e))}else if(\"MultiPolygon\"===o)for(i=[],s=0;s<a.geometry.length;s++){for(var l=[],c=0;c<a.geometry[s].length;c++)l.push(mt(a.geometry[s][c],e));i.push(l)}r.push(Q(a.id,o,i,a.tags))}return r}function mt(t,e){var r=[];r.size=t.size,void 0!==t.start&&(r.start=t.start,r.end=t.end);for(var n=0;n<t.length;n+=3)r.push(t[n]+e,t[n+1],t[n+2]);return r}function gt(t,e){if(t.transformed)return t;var r,n,i,a=1<<t.z,o=t.x,s=t.y;for(r=0;r<t.features.length;r++){var l=t.features[r],c=l.geometry,u=l.type;if(l.geometry=[],1===u)for(n=0;n<c.length;n+=2)l.geometry.push(vt(c[n],c[n+1],e,a,o,s));else for(n=0;n<c.length;n++){var f=[];for(i=0;i<c[n].length;i+=2)f.push(vt(c[n][i],c[n][i+1],e,a,o,s));l.geometry.push(f)}}return t.transformed=!0,t}function 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u={},e.tags)u[f]=e.tags[f];u.mapbox_clip_start=i.start/i.size,u.mapbox_clip_end=i.end/i.size}var h={geometry:o,type:\"Polygon\"===a||\"MultiPolygon\"===a?3:\"LineString\"===a||\"MultiLineString\"===a?2:1,tags:u};null!==e.id&&(h.id=e.id),t.features.push(h)}}function bt(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 _t(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++)tt(r,t.features[n],e,n);else\"Feature\"===t.type?tt(r,t,e):tt(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=ot(t,1,-1-r,r,0,-1,2,e),a=ot(t,1,1-r,2+r,0,-1,2,e);return(i||a)&&(n=ot(t,1,-r,1+r,0,-1,2,e)||[],i&&(n=dt(i,1).concat(n)),a&&(n=n.concat(dt(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 wt(t,e,r){return 32*((1<<t)*r+e)+t}function Tt(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})}U.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,i=e.maxZoom,a=e.nodeSize;r&&console.time(\"total time\");var o=\"prepare \"+t.length+\" points\";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(H(t[l],l));this.trees[i+1]=new N(s,Z,J,a,Float32Array),r&&console.timeEnd(o);for(var c=i;c>=n;c--){var u=+Date.now();s=this._cluster(s,c),this.trees[c]=new N(s,Z,J,a,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",c,s.length,+Date.now()-u)}return r&&console.timeEnd(\"total time\"),this},U.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],c=[],u=0,f=l.range(Y(r),W(a),Y(i),W(n));u<f.length;u+=1){var h=f[u],p=l.points[h];c.push(p.numPoints?q(p):this.points[p.index])}return c},U.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),n=\"No cluster with the specified id.\",i=this.trees[r];if(!i)throw new Error(n);var a=i.points[e];if(!a)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,c=i.within(a.x,a.y,o);l<c.length;l+=1){var u=c[l],f=i.points[u];f.parentId===t&&s.push(f.numPoints?q(f):this.points[f.index])}if(0===s.length)throw new Error(n);return s},U.prototype.getLeaves=function(t,e,r){e=e||10,r=r||0;var n=[];return this._appendLeaves(n,t,e,r,0),n},U.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),a=this.options,o=a.extent,s=a.radius/o,l=(r-s)/i,c=(r+1+s)/i,u={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,c),n.points,e,r,i,u),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,c),n.points,i,r,i,u),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,c),n.points,-1,r,i,u),u.features.length?u:null},U.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},U.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},U.prototype._addTileFeatures=function(t,e,r,n,i,a){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],c=l.numPoints,u={type:1,geometry:[[Math.round(this.options.extent*(l.x*i-r)),Math.round(this.options.extent*(l.y*i-n))]],tags:c?G(l):this.points[l.index].properties},f=void 0;c?f=l.id:this.options.generateId?f=l.index:this.points[l.index].id&&(f=this.points[l.index].id),void 0!==f&&(u.id=f),a.features.push(u)}},U.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(t,this.options.maxZoom+1))},U.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 c=t[l];if(!(c.zoom<=e)){c.zoom=e;for(var u=this.trees[e+1],f=u.within(c.x,c.y,s),h=c.numPoints||1,p=c.x*h,d=c.y*h,m=o&&h>1?this._map(c,!0):null,g=(l<<5)+(e+1)+this.points.length,v=0,y=f;v<y.length;v+=1){var x=y[v],b=u.points[x];if(!(b.zoom<=e)){b.zoom=e;var _=b.numPoints||1;p+=b.x*_,d+=b.y*_,h+=_,b.parentId=g,o&&(m||(m=this._map(c,!0)),o(m,this._map(b)))}}1===h?r.push(c):(c.parentId=g,r.push(V(p/h,d/h,g,h,m)))}}return r},U.prototype._getOriginId=function(t){return t-this.points.length>>5},U.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},U.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},_t.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},_t.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,c=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var u=1<<e,f=wt(e,r,n),h=this.tiles[f];if(!h&&(c>1&&console.time(\"creation\"),h=this.tiles[f]=yt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),c)){c>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,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){c>1&&console.time(\"clipping\");var m,g,v,y,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;m=g=v=y=null,x=ot(t,u,r-_,r+T,0,h.minX,h.maxX,l),b=ot(t,u,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(m=ot(x,u,n-_,n+T,1,h.minY,h.maxY,l),g=ot(x,u,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(v=ot(b,u,n-_,n+T,1,h.minY,h.maxY,l),y=ot(b,u,n+w,n+k,1,h.minY,h.maxY,l),b=null),c>1&&console.timeEnd(\"clipping\"),s.push(m||[],e+1,2*r,2*n),s.push(g||[],e+1,2*r,2*n+1),s.push(v||[],e+1,2*r+1,2*n),s.push(y||[],e+1,2*r+1,2*n+1)}}},_t.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=wt(t,e=(e%o+o)%o,r);if(this.tiles[s])return gt(this.tiles[s],i);a>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var l,c=t,u=e,f=r;!l&&c>0;)c--,u=Math.floor(u/2),f=Math.floor(f/2),l=this.tiles[wt(c,u,f)];return l&&l.source?(a>1&&console.log(\"found parent tile z%d-%d-%d\",c,u,f),a>1&&console.time(\"drilling down\"),this.splitTile(l.source,c,u,f,t,e,r),a>1&&console.timeEnd(\"drilling down\"),this.tiles[s]?gt(this.tiles[s],i):null):null};var kt=function(e){function r(t,r,n,i){e.call(this,t,r,n,Tt),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 U(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),c=0,u=l;c<u.length;c+=1){var f=u[c],h=n[f],p=h[0],d=h[1],m=t.createExpression(d),g=t.createExpression(\"string\"==typeof p?[p,[\"accumulated\"],[\"get\",f]]:p);i[f]=m.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 _t(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 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t.Point(r.clientX-n.left-e.clientLeft,r.clientY-n.top-e.clientTop)},r.touchPos=function(e,r){for(var n=e.getBoundingClientRect(),i=[],a=0;a<r.length;a++)i.push(new t.Point(r[a].clientX-n.left-e.clientLeft,r[a].clientY-n.top-e.clientTop));return i},r.mouseButton=function(e){return void 0!==t.window.InstallTrigger&&2===e.button&&e.ctrlKey&&t.window.navigator.platform.toUpperCase().indexOf(\"MAC\")>=0?0:e.button},r.remove=function(t){t.parentNode&&t.parentNode.removeChild(t)};var h=function(e){function r(){e.call(this),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new t.RGBAImage({width:1,height:1}),this.dirty=!0}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.isLoaded=function(){return this.loaded},r.prototype.setLoaded=function(t){if(this.loaded!==t&&(this.loaded=t,t)){for(var e=0,r=this.requestors;e<r.length;e+=1){var n=r[e],i=n.ids,a=n.callback;this._notify(i,a)}this.requestors=[]}},r.prototype.getImage=function(t){return this.images[t]},r.prototype.addImage=function(t,e){this._validate(t,e)&&(this.images[t]=e)},r.prototype._validate=function(e,r){var n=!0;return this._validateStretch(r.stretchX,r.data&&r.data.width)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchX\" value'))),n=!1),this._validateStretch(r.stretchY,r.data&&r.data.height)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchY\" value'))),n=!1),this._validateContent(r.content,r)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"content\" value'))),n=!1),n},r.prototype._validateStretch=function(t,e){if(!t)return!0;for(var r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];if(a[0]<r||a[1]<a[0]||e<a[1])return!1;r=a[1]}return!0},r.prototype._validateContent=function(t,e){return!t||4===t.length&&(!(t[0]<0||e.data.width<t[0])&&(!(t[1]<0||e.data.height<t[1])&&(!(t[2]<0||e.data.width<t[2])&&(!(t[3]<0||e.data.height<t[3])&&(!(t[2]<t[0])&&!(t[3]<t[1]))))))},r.prototype.updateImage=function(t,e){var r=this.images[t];e.version=r.version+1,this.images[t]=e,this.updatedImages[t]=!0},r.prototype.removeImage=function(t){var e=this.images[t];delete this.images[t],delete this.patterns[t],e.userImage&&e.userImage.onRemove&&e.userImage.onRemove()},r.prototype.listImages=function(){return Object.keys(this.images)},r.prototype.getImages=function(t,e){var r=!0;if(!this.isLoaded())for(var n=0,i=t;n<i.length;n+=1){var a=i[n];this.images[a]||(r=!1)}this.isLoaded()||r?this._notify(t,e):this.requestors.push({ids:t,callback:e})},r.prototype._notify=function(e,r){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i];this.images[o]||this.fire(new t.Event(\"styleimagemissing\",{id:o}));var s=this.images[o];s?n[o]={data:s.data.clone(),pixelRatio:s.pixelRatio,sdf:s.sdf,version:s.version,stretchX:s.stretchX,stretchY:s.stretchY,content:s.content,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image \"'+o+'\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. You can provide missing images by listening for the \"styleimagemissing\" map event.')}r(null,n)},r.prototype.getPixelSize=function(){var t=this.atlasImage;return{width:t.width,height:t.height}},r.prototype.getPattern=function(e){var r=this.patterns[e],n=this.getImage(e);if(!n)return null;if(r&&r.position.version===n.version)return r.position;if(r)r.position.version=n.version;else{var i={w:n.data.width+2,h:n.data.height+2,x:0,y:0},a=new t.ImagePosition(i,n);this.patterns[e]={bin:i,position:a}}return this._updatePatternAtlas(),this.patterns[e].position},r.prototype.bind=function(e){var r=e.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new t.Texture(e,this.atlasImage,r.RGBA),this.atlasTexture.bind(r.LINEAR,r.CLAMP_TO_EDGE)},r.prototype._updatePatternAtlas=function(){var e=[];for(var r in this.patterns)e.push(this.patterns[r].bin);var n=t.potpack(e),i=n.w,a=n.h,o=this.atlasImage;for(var s in o.resize({width:i||1,height:a||1}),this.patterns){var l=this.patterns[s].bin,c=l.x+1,u=l.y+1,f=this.images[s].data,h=f.width,p=f.height;t.RGBAImage.copy(f,o,{x:0,y:0},{x:c,y:u},{width:h,height:p}),t.RGBAImage.copy(f,o,{x:0,y:p-1},{x:c,y:u-1},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:c,y:u+p},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:h-1,y:0},{x:c-1,y:u},{width:1,height:p}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:c+h,y:u},{width:1,height:p})}this.dirty=!0},r.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},r.prototype.dispatchRenderCallbacks=function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!this.callbackDispatchedThisFrame[n]){this.callbackDispatchedThisFrame[n]=!0;var i=this.images[n];f(i)&&this.updateImage(n,i)}}},r}(t.Evented);var p=g,d=g,m=1e20;function g(t,e,r,n,i,a){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=i||\"sans-serif\",this.fontWeight=a||\"normal\",this.radius=r||8;var o=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement(\"canvas\"),this.canvas.width=this.canvas.height=o,this.ctx=this.canvas.getContext(\"2d\"),this.ctx.font=this.fontWeight+\" \"+this.fontSize+\"px \"+this.fontFamily,this.ctx.textBaseline=\"middle\",this.ctx.fillStyle=\"black\",this.gridOuter=new Float64Array(o*o),this.gridInner=new Float64Array(o*o),this.f=new Float64Array(o),this.d=new Float64Array(o),this.z=new Float64Array(o+1),this.v=new Int16Array(o),this.middle=Math.round(o/2*(navigator.userAgent.indexOf(\"Gecko/\")>=0?1.2:1))}function v(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(y(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(y(n,i,a,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(i[s])}}function y(t,e,r,n,i){r[0]=0,n[0]=-m,n[1]=+m;for(var a=1,o=0;a<i;a++){for(var s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);s<=n[o];)o--,s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);r[++o]=a,n[o]=s,n[o+1]=+m}for(a=0,o=0;a<i;a++){for(;n[o+1]<a;)o++;e[a]=(a-r[o])*(a-r[o])+t[r[o]]}}g.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),r=new Uint8ClampedArray(this.size*this.size),n=0;n<this.size*this.size;n++){var i=e.data[4*n+3]/255;this.gridOuter[n]=1===i?0:0===i?m:Math.pow(Math.max(0,.5-i),2),this.gridInner[n]=1===i?m:0===i?0:Math.pow(Math.max(0,i-.5),2)}for(v(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),v(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++){var a=this.gridOuter[n]-this.gridInner[n];r[n]=Math.max(0,Math.min(255,Math.round(255-255*(a/this.radius+this.cutoff))))}return r},p.default=d;var x=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};x.prototype.setURL=function(t){this.url=t},x.prototype.getGlyphs=function(e,r){var n=this,i=[];for(var a in e)for(var o=0,s=e[a];o<s.length;o+=1){var l=s[o];i.push({stack:a,id:l})}t.asyncAll(i,(function(t,e){var r=t.stack,i=t.id,a=n.entries[r];a||(a=n.entries[r]={glyphs:{},requests:{},ranges:{}});var o=a.glyphs[i];if(void 0===o){if(o=n._tinySDF(a,r,i))return a.glyphs[i]=o,void e(null,{stack:r,id:i,glyph:o});var s=Math.floor(i/256);if(256*s>65535)e(new Error(\"glyphs > 65535 not supported\"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i<o.length;i+=1){(0,o[i])(t,e)}delete a.requests[s]}))),l.push((function(t,n){t?e(t):n&&e(null,{stack:r,id:i,glyph:n[i]||null})}))}}else e(null,{stack:r,id:i,glyph:o})}),(function(t,e){if(t)r(t);else if(e){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.stack,l=o.id,c=o.glyph;(n[s]||(n[s]={}))[l]=c&&{id:c.id,bitmap:c.bitmap.clone(),metrics:c.metrics}}r(null,n)}}))},x.prototype._doesCharSupportLocalGlyph=function(e){return!!this.localIdeographFontFamily&&(t.isChar[\"CJK Unified Ideographs\"](e)||t.isChar[\"Hangul Syllables\"](e)||t.isChar.Hiragana(e)||t.isChar.Katakana(e))},x.prototype._tinySDF=function(e,r,n){var i=this.localIdeographFontFamily;if(i&&this._doesCharSupportLocalGlyph(n)){var a=e.tinySDF;if(!a){var o=\"400\";/bold/i.test(r)?o=\"900\":/medium/i.test(r)?o=\"500\":/light/i.test(r)&&(o=\"200\"),a=e.tinySDF=new x.TinySDF(24,3,8,.25,i,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},a.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,i,a){var o=256*r,s=o+255,l=i.transformRequest(i.normalizeGlyphsURL(n).replace(\"{fontstack}\",e).replace(\"{range}\",o+\"-\"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,(function(e,r){if(e)a(e);else if(r){for(var n={},i=0,o=t.parseGlyphPBF(r);i<o.length;i+=1){var s=o[i];n[s.id]=s}a(null,n)}}))},x.TinySDF=p;var 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=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,\"-transition\")?this._transitionable.setTransition(n.slice(0,-\"-transition\".length),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),T=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};T.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]},T.prototype.getDashRanges=function(t,e,r){var n=[],i=t.length%2==1?-t[t.length-1]*r:0,a=t[0]*r,o=!0;n.push({left:i,right:a,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){o=!o;var c=t[l];i=s*r,a=(s+=c)*r,n.push({left:i,right:a,isDash:o,zeroLength:0===c})}return n},T.prototype.addRoundDash=function(t,e,r){for(var n=e/2,i=-r;i<=r;i++)for(var a=this.nextRow+r+i,o=this.width*a,s=0,l=t[s],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),f=Math.abs(c-l.right),h=Math.min(u,f),p=void 0,d=i/r*(n+1);if(l.isDash){var m=n-Math.abs(d);p=Math.sqrt(h*h+m*m)}else p=n-Math.sqrt(h*h+d*d);this.data[o+c]=Math.max(0,Math.min(255,p+128))}},T.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),f=Math.abs(c-l.right),h=Math.min(u,f),p=l.isDash?h:-h;this.data[o+c]=Math.max(0,Math.min(255,p+128))}},T.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce(\"LineAtlas out of space\"),null;for(var a=0,o=0;o<e.length;o++)a+=e[o];if(0!==a){var s=this.width/a,l=this.getDashRanges(e,this.width,s);r?this.addRoundDash(l,s,n):this.addRegularDash(l)}var c={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,c},T.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 k=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 A(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)}))}k.prototype.broadcast=function(e,r,n){n=n||function(){},t.asyncAll(this.actors,(function(t,n){t.send(e,r,n)}),n)},k.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},k.prototype.remove=function(){this.actors.forEach((function(t){t.remove()})),this.actors=[],this.workerPool.release(this.id)},k.Actor=t.Actor;var M=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};M.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]},M.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 S=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=A(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 M(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),E=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=A(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 M(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,i=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(i,t.ResourceType.Tile),(function(i,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(i)e.state=\"errored\",r(i);else if(a){n.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(a.width),e.texture?e.texture.update(a,{useMipmap:!0}):(e.texture=new t.Texture(o,a,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state=\"loaded\",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}}))},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),L=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),this.type=\"raster-dem\",this.maxzoom=22,this._options=t.extend({type:\"raster-dem\"},n),this.encoding=n.encoding||\"mapbox\"}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.serialize=function(){return{type:\"raster-dem\",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);function i(t,n){t&&(e.state=\"errored\",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state=\"loaded\",r(null))}e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(n)e.state=\"errored\",r(n);else if(a){this.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=t.window.ImageBitmap&&a instanceof t.window.ImageBitmap&&t.offscreenCanvasSupported()?a:t.browser.getImageData(a,1),s={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:o,encoding:this.encoding};e.actor&&\"expired\"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send(\"loadDEMTile\",s,i.bind(this)))}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID)},r.prototype._getNeighboringTiles=function(e){var r=e.canonical,n=Math.pow(2,r.z),i=(r.x-1+n)%n,a=0===r.x?e.wrap-1:e.wrap,o=(r.x+1+n)%n,s=r.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state=\"unloaded\",t.actor&&t.actor.send(\"removeDEMTile\",{uid:t.uid,source:this.id})},r}(E),C=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),P=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 c=i-r,u=a-n,f=Math.max(c,u),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,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new t.Texture(e,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state=\"errored\",e(null))},r.prototype.serialize=function(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return!1},r}(t.Evented);var O=function(e){function r(t,r,n,i){e.call(this,t,r,n,i),this.roundZoom=!0,this.type=\"video\",this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1;var r=this.options;this.urls=[];for(var n=0,i=r.urls;n<i.length;n+=1){var a=i[n];this.urls.push(this.map._requestManager.transformRequest(a,t.ResourceType.Source).url)}t.getVideo(this.urls,(function(r,n){e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(e.video=n,e.video.loop=!0,e.video.addEventListener(\"playing\",(function(){e.map.triggerRepaint()})),e.map&&e.video.play(),e._finishLoading())}))},r.prototype.pause=function(){this.video&&this.video.pause()},r.prototype.play=function(){this.video&&this.video.play()},r.prototype.seek=function(e){if(this.video){var r=this.video.seekable;e<r.start(0)||e>r.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+this.id,null,\"Playback for this video can be set only between the \"+r.start(0)+\" and \"+r.end(0)+\"-second mark.\"))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(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,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var 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e=this.gl;e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0),this.current=t,this.dirty=!1}},e}(_t),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.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}(_t),kt=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 wt(t,a),n&&(this.depthAttachment=new Tt(t,a))};kt.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 At=function(t,e,r){this.func=t,this.mask=e,this.range=r};At.ReadOnly=!1,At.ReadWrite=!0,At.disabled=new At(519,At.ReadOnly,[0,1]);var Mt=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};Mt.disabled=new Mt({func:519,mask:0},0,0,7680,7680,7680);var St=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};St.disabled=new St(St.Replace=[1,0],t.Color.transparent,[!1,!1,!1,!1]),St.unblended=new St(St.Replace,t.Color.transparent,[!0,!0,!0,!0]),St.alphaBlended=new St([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Et=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Et.disabled=new Et(!1,1029,2305),Et.backCCW=new Et(!0,1029,2305);var Lt=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension(\"OES_vertex_array_object\"),this.clearColor=new q(this),this.clearDepth=new G(this),this.clearStencil=new Y(this),this.colorMask=new W(this),this.depthMask=new X(this),this.stencilMask=new Z(this),this.stencilFunc=new J(this),this.stencilOp=new K(this),this.stencilTest=new Q(this),this.depthRange=new $(this),this.depthTest=new tt(this),this.depthFunc=new et(this),this.blend=new rt(this),this.blendFunc=new nt(this),this.blendColor=new it(this),this.blendEquation=new at(this),this.cullFace=new ot(this),this.cullFaceSide=new st(this),this.frontFace=new lt(this),this.program=new ct(this),this.activeTexture=new ut(this),this.viewport=new ft(this),this.bindFramebuffer=new ht(this),this.bindRenderbuffer=new pt(this),this.bindTexture=new dt(this),this.bindVertexBuffer=new mt(this),this.bindElementBuffer=new gt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new vt(this),this.pixelStoreUnpack=new yt(this),this.pixelStoreUnpackPremultiplyAlpha=new xt(this),this.pixelStoreUnpackFlipY=new bt(this),this.extTextureFilterAnisotropic=t.getExtension(\"EXT_texture_filter_anisotropic\")||t.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||t.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension(\"OES_texture_half_float\"),this.extTextureHalfFloat&&(t.getExtension(\"OES_texture_half_float_linear\"),this.extRenderToTextureHalfFloat=t.getExtension(\"EXT_color_buffer_half_float\")),this.extTimerQuery=t.getExtension(\"EXT_disjoint_timer_query\")};Lt.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()},Lt.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},Lt.prototype.createIndexBuffer=function(t,e){return new j(this,t,e)},Lt.prototype.createVertexBuffer=function(t,e,r){return new V(this,t,e,r)},Lt.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},Lt.prototype.createFramebuffer=function(t,e,r){return new kt(this,t,e,r)},Lt.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)},Lt.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))},Lt.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)},Lt.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)},Lt.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,St.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Lt.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Ct=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 D[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 N(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(Pt).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(Pt).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(It(this._source.type)){for(var c={},u={},f=0,h=Object.keys(l);f<h.length;f+=1){var p=h[f],d=l[p],m=this._tiles[p];if(m&&!(m.fadeEndTime&&m.fadeEndTime<=t.browser.now())){var g=this.findLoadedParent(d,o);g&&(this._addTile(g.tileID),c[g.tileID.key]=g.tileID),u[p]=d}}for(var v in this._retainLoadedChildren(u,a,s,l),c)l[v]||(this._coveredTiles[v]=!0,l[v]=c[v])}for(var y in l)this._tiles[y].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,c=t;l<c.length;l+=1){var u=c[l],f=this._addTile(u);n[u.key]=u,f.hasData()||e<this._source.maxzoom&&(s[u.key]=u)}this._retainLoadedChildren(s,e,o,n);for(var h=0,p=t;h<p.length;h+=1){var d=p[h],m=this._tiles[d.key];if(!m.hasData()){if(e+1>this._source.maxzoom){var g=d.children(this._source.maxzoom)[0],v=this.getTile(g);if(v&&v.hasData()){n[g.key]=g;continue}}else{var y=d.children(this._source.maxzoom);if(n[y[0].key]&&n[y[1].key]&&n[y[2].key]&&n[y[3].key])continue}for(var x=m.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(m=this.getTile(_))&&x&&(m=this._addTile(_)),m&&(n[_.key]=_,x=m.wasRequested(),m.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a<o.length;a+=1){var s=o[a];this._loadedParentTiles[s]=r}}},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event(\"dataloading\",{tile:r,coord:r.tileID,dataType:\"source\"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout((function(){r._reloadTile(t,\"expired\"),delete r._timers[t]}),n))},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&\"reloading\"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),c=s.map((function(t){return o.pointCoordinate(t)})),u=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,m=0,g=c;m<g.length;m+=1){var v=g[m];f=Math.min(f,v.x),h=Math.min(h,v.y),p=Math.max(p,v.x),d=Math.max(d,v.y)}for(var y=function(e){var n=i._tiles[u[e]];if(!n.holdingForFade()){var s=n.tileID,m=Math.pow(2,o.zoom-n.tileID.overscaledZ),g=r*n.queryPadding*t.EXTENT/n.tileSize/m,v=[s.getTilePoint(new t.MercatorCoordinate(f,h)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(v[0].x-g<t.EXTENT&&v[0].y-g<t.EXTENT&&v[1].x+g>=0&&v[1].y+g>=0){var y=l.map((function(t){return s.getTilePoint(t)})),x=c.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:y,cameraQueryGeometry:x,scale:m})}}},x=0;x<u.length;x++)y(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(It(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 Pt(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 It(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function Ot(){return new t.window.Worker(Zi.workerUrl)}Ct.maxOverzooming=10,Ct.maxUnderzooming=3;var zt=\"mapboxgl_preloaded_worker_pool\",Dt=function(){this.active={}};Dt.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Dt.workerCount;)this.workers.push(new Ot);return this.active[t]=!0,this.workers.slice()},Dt.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((function(t){t.terminate()})),this.workers=null)},Dt.prototype.isPreloaded=function(){return!!this.active[zt]},Dt.prototype.numActive=function(){return Object.keys(this.active).length};var Rt,Ft=Math.floor(t.browser.hardwareConcurrency/2);function Bt(){return Rt||(Rt=new Dt),Rt}function Nt(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 jt(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]=Nt(t[n],e[t[n].ref]));return t}Dt.workerCount=Math.max(Math.min(Ft,6),1);var Ut={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 Vt(t,e,r){r.push({command:Ut.addSource,args:[t,e[t]]})}function Ht(t,e,r){e.push({command:Ut.removeSource,args:[t]}),r[t]=!0}function qt(t,e,r,n){Ht(t,r,n),Vt(t,e,r)}function Gt(e,r,n){var i;for(i in e[n])if(e[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;for(i in r[n])if(r[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;return!0}function Yt(e,r,n,i,a,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}))}function Wt(t){return t.id}function Xt(t,e){return t[e.id]=e,t}function Zt(e,r){if(!e)return[{command:Ut.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:Ut.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:Ut.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:Ut.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:Ut.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:Ut.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:Ut.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:Ut.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:Ut.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:Ut.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)||Ht(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&&Gt(e,r,a)?n.push({command:Ut.setGeoJSONSourceData,args:[a,r[a].data]}):qt(a,r,n,i)):Vt(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach((function(t){i[t.source]?n.push({command:Ut.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(a),function(e,r,n){r=r||[];var i,a,o,s,l,c,u,f=(e=e||[]).map(Wt),h=r.map(Wt),p=e.reduce(Xt,{}),d=r.reduce(Xt,{}),m=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:Ut.removeLayer,args:[o]}),m.splice(m.indexOf(o,a),1));for(i=0,a=0;i<h.length;i++)o=h[h.length-1-i],m[m.length-1-i]!==o&&(p.hasOwnProperty(o)?(n.push({command:Ut.removeLayer,args:[o]}),m.splice(m.lastIndexOf(o,m.length-a),1)):a++,c=m[m.length-i],n.push({command:Ut.addLayer,args:[d[o],c]}),m.splice(m.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(u in Yt(s.layout,l.layout,n,o,null,Ut.setLayoutProperty),Yt(s.paint,l.paint,n,o,null,Ut.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:Ut.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:Ut.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}));for(u in l)l.hasOwnProperty(u)&&!s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}))}else n.push({command:Ut.removeLayer,args:[o]}),c=m[m.lastIndexOf(o)+1],n.push({command:Ut.addLayer,args:[l,c]})}(o,r.layers,n)}catch(t){console.warn(\"Unable to compute style diff:\",t),n=[{command:Ut.setStyle,args:[r]}]}return n}var Jt=function(t,e){this.reset(t,e)};Jt.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},Jt.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 Kt=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 Qt(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 $t(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 te(e,r){var n=[e.x,e.y,0,1];fe(n,n,r);var i=n[3];return{point:new t.Point(n[0]/i,n[1]/i),signedDistanceFromCamera:i}}function ee(t,e){return.5+t/e*.5}function re(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 ne(e,r,n,i,a,o,s,l){var c=i?e.textSizeData:e.iconSizeData,u=t.evaluateSizeForZoom(c,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,m=n.transform.width/n.transform.height,g=!1,v=0;v<d.length;v++){var y=d.get(v);if(y.hidden||y.writingMode===t.WritingMode.vertical&&!g)ue(y.numGlyphs,h);else{g=!1;var x=[y.anchorX,y.anchorY,0,1];if(t.transformMat4(x,x,r),re(x,f)){var b=x[3],_=ee(n.transform.cameraToCenterDistance,b),w=t.evaluateSizeForFeature(c,u,y),T=s?w/_:w*_,k=new t.Point(y.anchorX,y.anchorY),A=te(k,a).point,M={},S=oe(y,T,!1,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,m);g=S.useVertical,(S.notEnoughRoom||g||S.needsFlipping&&oe(y,T,!0,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,m).notEnoughRoom)&&ue(y.numGlyphs,h)}else ue(y.numGlyphs,h)}}i?e.text.dynamicLayoutVertexBuffer.updateData(h):e.icon.dynamicLayoutVertexBuffer.updateData(h)}function ie(t,e,r,n,i,a,o,s,l,c,u){var f=s.glyphStartIndex+s.numGlyphs,h=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),m=e.getoffsetX(f-1),g=le(t*d,r,n,i,a,o,s.segment,h,p,l,c,u);if(!g)return null;var v=le(t*m,r,n,i,a,o,s.segment,h,p,l,c,u);return v?{first:g,last:v}:null}function ae(e,r,n,i){if(e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*i)return{useVertical:!0};return(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function oe(e,r,n,i,a,o,s,l,c,u,f,h,p,d){var m,g=r/24,v=e.lineOffsetX*g,y=e.lineOffsetY*g;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=ie(g,l,v,y,n,f,h,e,c,o,p);if(!w)return{notEnoughRoom:!0};var T=te(w.first.point,s).point,k=te(w.last.point,s).point;if(i&&!n){var A=ae(e.writingMode,T,k,d);if(A)return A}m=[w.first];for(var M=e.glyphStartIndex+1;M<x-1;M++)m.push(le(g*l.getoffsetX(M),v,y,n,f,h,e.segment,b,_,c,o,p));m.push(w.last)}else{if(i&&!n){var S=te(h,a).point,E=e.lineStartIndex+e.segment+1,L=new t.Point(c.getx(E),c.gety(E)),C=te(L,a),P=C.signedDistanceFromCamera>0?C.point:se(h,L,S,1,a),I=ae(e.writingMode,S,P,d);if(I)return I}var O=le(g*l.getoffsetX(e.glyphStartIndex),v,y,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,c,o,p);if(!O)return{notEnoughRoom:!0};m=[O]}for(var z=0,D=m;z<D.length;z+=1){var R=D[z];t.addDynamicAttributes(u,R.point,R.angle)}return{}}function se(t,e,r,n,i){var a=te(t.add(t.sub(e)._unit()),i).point,o=r.sub(a);return r.add(o._mult(n/o.mag()))}function le(e,r,n,i,a,o,s,l,c,u,f,h){var p=i?e-r:e+r,d=p>0?1:-1,m=0;i&&(d*=-1,m=Math.PI),d<0&&(m+=Math.PI);for(var g=d>0?l+s:l+s+1,v=a,y=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((g+=d)<l||g>=c)return null;if(y=v,w.push(v),void 0===(v=h[g])){var T=new t.Point(u.getx(g),u.gety(g)),k=te(T,f);if(k.signedDistanceFromCamera>0)v=h[g]=k.point;else{var A=g-d;v=se(0===x?o:new t.Point(u.getx(A),u.gety(A)),T,y,_-x+1,f)}}x+=b,b=y.dist(v)}var M=(_-x)/b,S=v.sub(y),E=S.mult(M)._add(y);E._add(S._unit()._perp()._mult(n*d));var L=m+Math.atan2(v.y-y.y,v.x-y.x);return w.push(E),{point:E,angle:L,path:w}}Kt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Kt.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)},Kt.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)},Kt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Kt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Kt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var c=this.circles[3*l],u=this.circles[3*l+1],f=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:c-f,y1:u-f,x2:c+f,y2:u+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},Kt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var c=[],u={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,c,u,i),n?c.length>0:c},Kt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Kt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Kt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Kt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,c=this.boxCells[i];if(null!==c)for(var u=this.bboxes,f=0,h=c;f<h.length;f+=1){var p=h[f];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=u[d+2]&&e<=u[d+3]&&r>=u[d+0]&&n>=u[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:u[d],y1:u[d+1],x2:u[d+2],y2:u[d+3]})}}}var m=this.circleCells[i];if(null!==m)for(var g=this.circles,v=0,y=m;v<y.length;v+=1){var x=y[v];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})}}}},Kt.prototype._queryCellCircle=function(t,e,r,n,i,a,o,s){var l=o.circle,c=o.seenUids,u=this.boxCells[i];if(null!==u)for(var f=this.bboxes,h=0,p=u;h<p.length;h+=1){var d=p[h];if(!c.box[d]){c.box[d]=!0;var m=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,f[m+0],f[m+1],f[m+2],f[m+3])&&(!s||s(this.boxKeys[d])))return a.push(!0),!0}}var g=this.circleCells[i];if(null!==g)for(var v=this.circles,y=0,x=g;y<x.length;y+=1){var b=x[y];if(!c.circle[b]){c.circle[b]=!0;var _=3*b;if(this._circlesCollide(v[_],v[_+1],v[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return a.push(!0),!0}}},Kt.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToXCellCoord(t),c=this._convertToYCellCoord(e),u=this._convertToXCellCoord(r),f=this._convertToYCellCoord(n),h=l;h<=u;h++)for(var p=c;p<=f;p++){var d=this.xCellCount*p+h;if(i.call(this,t,e,r,n,d,a,o,s))return}},Kt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Kt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Kt.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},Kt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var c=(o-i)/2,u=Math.abs(e-(i+c));if(u>c+r)return!1;if(l<=s||u<=c)return!0;var f=l-s,h=u-c;return f*f+h*h<=r*r};var ce=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function ue(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(ce,3*n)}}function fe(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 he=function(t,e,r){void 0===e&&(e=new Kt(t.width+200,t.height+200,25)),void 0===r&&(r=new Kt(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+100,this.screenBottomBoundary=t.height+100,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function pe(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}he.prototype.placeCollisionBox=function(t,e,r,n,i){var a=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*a.perspectiveRatio,s=t.x1*o+a.point.x,l=t.y1*o+a.point.y,c=t.x2*o+a.point.x,u=t.y2*o+a.point.y;return!this.isInsideGrid(s,l,c,u)||!e&&this.grid.hitTest(s,l,c,u,i)?{box:[],offscreen:!1}:{box:[s,l,c,u],offscreen:this.isOffscreen(s,l,c,u)}},he.prototype.placeCollisionCircles=function(e,r,n,i,a,o,s,l,c,u,f,h,p){var d=[],m=new t.Point(r.anchorX,r.anchorY),g=te(m,o),v=ee(this.transform.cameraToCenterDistance,g.signedDistanceFromCamera),y=(u?a/v:a*v)/t.ONE_EM,x=te(m,s).point,b=ie(y,i,r.lineOffsetX*y,r.lineOffsetY*y,!1,x,m,r,n,s,{}),_=!1,w=!1,T=!0;if(b){for(var k=.5*h*v+p,A=new t.Point(-100,-100),M=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new Jt,E=b.first,L=b.last,C=[],P=E.path.length-1;P>=1;P--)C.push(E.path[P]);for(var I=1;I<L.path.length;I++)C.push(L.path[I]);var O=2.5*k;if(l){var z=C.map((function(t){return te(t,l)}));C=z.some((function(t){return t.signedDistanceFromCamera<=0}))?[]:z.map((function(t){return t.point}))}var D=[];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);D=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=D;N<j.length;N+=1){var U=j[N];S.reset(U,.25*k);var V=0;V=S.length<=.5*k?1:Math.ceil(S.paddedLength/O)+1;for(var H=0;H<V;H++){var q=H/Math.max(V-1,1),G=S.lerp(q),Y=G.x+100,W=G.y+100;d.push(Y,W,k,0);var X=Y-k,Z=W-k,J=Y+k,K=W+k;if(T=T&&this.isOffscreen(X,Z,J,K),w=w||this.isInsideGrid(X,Z,J,K),!e&&this.grid.hitTestCircle(Y,W,k,f)&&(_=!0,!c))return{circles:[],offscreen:!1,collisionDetected:_}}}}return{circles:!c&&_||!w?[]:d,offscreen:T,collisionDetected:_}},he.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,i=1/0,a=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var c=l[s],u=new t.Point(c.x+100,c.y+100);n=Math.min(n,u.x),i=Math.min(i,u.y),a=Math.max(a,u.x),o=Math.max(o,u.y),r.push(u)}for(var 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 m=d[p],g=m.key;if(void 0===f[g.bucketInstanceId]&&(f[g.bucketInstanceId]={}),!f[g.bucketInstanceId][g.featureIndex]){var v=[new t.Point(m.x1,m.y1),new t.Point(m.x2,m.y1),new t.Point(m.x2,m.y2),new t.Point(m.x1,m.y2)];t.polygonIntersectsPolygon(r,v)&&(f[g.bucketInstanceId][g.featureIndex]=!0,void 0===h[g.bucketInstanceId]&&(h[g.bucketInstanceId]=[]),h[g.bucketInstanceId].push(g.featureIndex))}}return h},he.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])},he.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])},he.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var i=[r,n,0,1];return fe(i,i,e),{point:new t.Point((i[0]/i[3]+1)/2*this.transform.width+100,(-i[1]/i[3]+1)/2*this.transform.height+100),perspectiveRatio:.5+this.transform.cameraToCenterDistance/i[3]*.5}},he.prototype.isOffscreen=function(t,e,r,n){return r<100||t>=this.screenRightBoundary||n<100||e>this.screenBottomBoundary},he.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},he.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var de=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};de.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var me=function(t,e,r,n,i){this.text=new de(t?t.text:null,e,r,i),this.icon=new de(t?t.icon:null,e,n,i)};me.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var ge=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},ve=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},ye=function(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i},xe=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function be(e,r,n,i,a){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,i);return new t.Point(s+c[0]*a,l+c[1]*a)}function _e(e,r,n,i,a,o){var s=e.x1,l=e.x2,c=e.y1,u=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:c+p.y,x2:l+p.x,y2:u+p.y,anchorPointX:f,anchorPointY:h}}xe.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 we=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new he(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new xe(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function Te(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)}we.prototype.getBucketParts=function(e,r,n,i){var a=n.getBucket(r),o=n.latestFeatureIndex;if(a&&o&&r.id===a.layerIds[0]){var s=n.collisionBoxArray,l=a.layers[0].layout,c=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),u=n.tileSize/t.EXTENT,f=this.transform.calculatePosMatrix(n.tileID.toUnwrapped()),h=\"map\"===l.get(\"text-pitch-alignment\"),p=\"map\"===l.get(\"text-rotation-alignment\"),d=pe(n,1,this.transform.zoom),m=Qt(f,h,p,this.transform,d),g=null;if(h){var v=$t(f,h,p,this.transform,d);g=t.multiply([],this.transform.labelPlaneMatrix,v)}this.retainedQueryData[a.bucketInstanceId]=new ye(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);var y={bucket:a,layout:l,posMatrix:f,textLabelPlaneMatrix:m,labelToScreenMatrix:g,scale:c,textPixelRatio:u,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(var x=0,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:y})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:y})}},we.prototype.attemptAnchorPlacement=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d){var m,g=[f.textOffset0,f.textOffset1],v=be(t,r,n,g,i),y=this.collisionIndex.placeCollisionBox(_e(e,v.x,v.y,a,o,this.transform.angle),u,s,l,c.predicate);if(d&&0===this.collisionIndex.placeCollisionBox(_e(d,v.x,v.y,a,o,this.transform.angle),u,s,l,c.predicate).box.length)return;if(y.box.length>0)return this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(m=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:g,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:m},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:v,placedGlyphBoxes:y}},we.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,c=a.textLabelPlaneMatrix,u=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,m=a.collisionGroup,g=s.get(\"text-optional\"),v=s.get(\"icon-optional\"),y=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=y&&(x||!o.hasIconData()||v),A=x&&(y||!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 ge(!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,I=null,O=0,z=0,D=0;a.textFeatureIndex?O=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(O=e.featureIndex),a.verticalTextFeatureIndex&&(z=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;i+=1){if(s[i]===t.WritingMode.vertical?(L=n(),C=L):L=r(),L&&L.box&&L.box.length)break}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,c=e.textBoxScale,u=w&&!x?r:null,h={box:[],offscreen:!1},p=y?2*N.length:N.length,d=0;d<p;++d){var g=N[d%N.length],v=d>=N.length,k=i.attemptAnchorPlacement(g,t,a,s,c,b,_,f,l,m,v,e,o,n,u);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,y,f,l,m.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),Y=t.evaluateSizeForFeature(o.textSizeData,d,G),W=s.get(\"text-padding\"),X=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(y,G,o.lineVertexArray,o.glyphOffsetArray,Y,l,c,u,n,_,m.predicate,X,W),T=y||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(D=a.iconFeatureIndex),a.iconBox){var Z=function(t){var e=w&&E?_e(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,m.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(I=Z(a.verticalIconBox)).box.length>0:(I=Z(a.iconBox)).box.length>0,S=S&&I.offscreen}var J=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,K=v||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&&z?i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,z,m.ID):i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,O,m.ID)),M&&I&&i.collisionIndex.insertCollisionBox(I.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,D,m.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get(\"text-ignore-placement\"),o.bucketInstanceId,O,m.ID),n)){var Q=o.bucketInstanceId,$=i.collisionCircleArrays[Q];void 0===$&&($=i.collisionCircleArrays[Q]=new ve);for(var tt=0;tt<P.circles.length;tt+=4)$.circles.push(P.circles[tt+0]),$.circles.push(P.circles[tt+1]),$.circles.push(P.circles[tt+2]),$.circles.push(P.collisionDetected?1:0)}i.placements[e.crossTileID]=new ge(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},we.prototype.markUsedJustification=function(e,r,n,i){var a,o={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};a=i===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:o[t.getAnchorJustification(r)];for(var s=0,l=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];s<l.length;s+=1){var c=l[s];c>=0&&(e.text.placedSymbolArray.get(c).crossTileID=a>=0&&c!==a?0:n.crossTileID)}},we.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)},we.prototype.commit=function(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;var e=this.prevPlacement,r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;var n=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],c=i[s];c?(this.opacities[s]=new me(c,n,l.text,l.icon),r=r||l.text!==c.text.placed||l.icon!==c.icon.placed):(this.opacities[s]=new me(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var u in i){var f=i[u];if(!this.opacities[u]){var h=new me(f,n,!1,!1);h.isHidden()||(this.opacities[u]=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)},we.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)}},we.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\"),c=a.get(\"text-variable-anchor\"),u=\"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)},m=function(n){var a=e.symbolInstances.get(n),s=a.numHorizontalGlyphVertices,l=a.numVerticalGlyphVertices,m=a.crossTileID,g=r[m],v=i.opacities[m];g?v=o:v||(v=p,i.opacities[m]=v),r[m]=!0;var y=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(y){var T=Pe(v.text),k=_?Ie:T;d(e.text,s,k);var A=w?Ie:T;d(e.text,l,A);var M=v.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=Pe(v.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:Ie;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=v.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var I=C?Ie:L;d(e.icon,a.numVerticalIconVertices,I),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=v.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var O=e.collisionArrays[n];if(O){var z=new t.Point(0,0);if(O.textBox||O.verticalTextBox){var D=!0;if(c){var R=i.variableOffsets[m];R?(z=be(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),u&&z._rotate(f?i.transform.angle:-i.transform.angle)):D=!1}O.textBox&&Te(e.textCollisionBox.collisionVertexArray,v.text.placed,!D||_,z.x,z.y),O.verticalTextBox&&Te(e.textCollisionBox.collisionVertexArray,v.text.placed,!D||w,z.x,z.y)}var F=Boolean(!w&&O.verticalIconBox);O.iconBox&&Te(e.iconCollisionBox.collisionVertexArray,v.icon.placed,F,h?z.x:0,h?z.y:0),O.verticalIconBox&&Te(e.iconCollisionBox.collisionVertexArray,v.icon.placed,!F,h?z.x:0,h?z.y:0)}}},g=0;g<e.symbolInstances.length;g++)m(g);if(e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexBuffer&&e.iconCollisionBox.collisionVertexBuffer.updateData(e.iconCollisionBox.collisionVertexArray),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexBuffer&&e.textCollisionBox.collisionVertexBuffer.updateData(e.textCollisionBox.collisionVertexArray),e.bucketInstanceId in this.collisionCircleArrays){var v=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=v.invProjMatrix,e.placementViewportMatrix=v.viewportMatrix,e.collisionCircleArray=v.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},we.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},we.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},we.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},we.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},we.prototype.setStale=function(){this.stale=!0};var ke=Math.pow(2,25),Ae=Math.pow(2,24),Me=Math.pow(2,17),Se=Math.pow(2,16),Ee=Math.pow(2,9),Le=Math.pow(2,8),Ce=Math.pow(2,1);function Pe(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*ke+e*Ae+r*Me+e*Se+r*Ee+e*Le+r*Ce+e}var Ie=0,Oe=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=[]};Oe.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 ze=function(t,e,r,n,i,a,o){this.placement=new we(t,i,a,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};ze.prototype.isDone=function(){return this._done},ze.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 Oe(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},ze.prototype.commit=function(t){return this.placement.commit(t),this.placement};var De=512/t.EXTENT/2,Re=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)})}};Re.prototype.getScaledCoordinates=function(e,r){var n=r.canonical.z-this.tileID.canonical.z,i=De/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)}},Re.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),i=0;i<t.length;i++){var a=t.get(i);if(!a.crossTileID){var o=this.indexedSymbolInstances[a.key];if(o)for(var s=this.getScaledCoordinates(a,e),l=0,c=o;l<c.length;l+=1){var u=c[l];if(Math.abs(u.coord.x-s.x)<=n&&Math.abs(u.coord.y-s.y)<=n&&!r[u.crossTileID]){r[u.crossTileID]=!0,a.crossTileID=u.crossTileID;break}}}}};var Fe=function(){this.maxCrossTileID=0};Fe.prototype.generate=function(){return++this.maxCrossTileID};var Be=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Be.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},Be.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++){e.symbolInstances.get(n).crossTileID=0}this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var i=this.usedCrossTileIDs[t.overscaledZ];for(var a in this.indexes){var o=this.indexes[a];if(Number(a)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var c=o[t.scaledTo(Number(a)).key];c&&c.findMatches(e.symbolInstances,t,i)}}for(var u=0;u<e.symbolInstances.length;u++){var f=e.symbolInstances.get(u);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 Re(t,e.symbolInstances,e.bucketInstanceId),!0},Be.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]}},Be.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 Ne=function(){this.layerIndexes={},this.crossTileIDs=new Fe,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Ne.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Be);var i=!1,a={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],c=l.getBucket(t);c&&t.id===c.layerIds[0]&&(c.bucketInstanceId||(c.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,c,this.crossTileIDs)&&(i=!0),a[c.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i},Ne.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 je=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return\"source.canvas\"!==t.identifier})))},Ue=t.pick(Ut,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),Ve=t.pick(Ut,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),He=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;null!=(a=\"version\"===n?r:\"array\"===i.type?[]:{})&&(e[n]=a)}}return e}(),qe=function(e){function r(n,i){var a=this;void 0===i&&(i={}),e.call(this),this.map=n,this.dispatcher=new k(Bt(),this),this.imageManager=new h,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,i.localIdeographFontFamily),this.lineAtlas=new T(256,512),this.crossTileSymbolIndex=new Ne,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(He,!1)},r.prototype._load=function(e,r){if(!r||!je(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=jt(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 w(this.stylesheet.light),this.fire(new t.Event(\"data\",{dataType:\"style\"})),this.fire(new t.Event(\"style.load\"))}},r.prototype._loadSprite=function(e){var r=this;this._spriteRequest=function(e,r,n){var i,a,o,s=t.browser.devicePixelRatio>1?\"@2x\":\"\",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,\".json\"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,u())})),c=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),(function(t,e){c=null,o||(o=t,a=e,u())}));function u(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],c=l.width,u=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,m=l.stretchX,g=l.stretchY,v=l.content,y=new t.RGBAImage({width:c,height:u});t.RGBAImage.copy(e,y,{x:f,y:h},{x:0,y:0},{width:c,height:u}),r[s]={data:y,pixelRatio:d,sdf:p,stretchX:m,stretchY:g,content:v}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),c&&(c.cancel(),c=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast(\"setImages\",r._availableImages),r.fire(new t.Event(\"data\",{dataType:\"style\"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();(\"geojson\"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+n+'\" does not exist on source \"'+i.id+'\" as specified by style layer \"'+e.id+'\"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=this._layers[i];\"custom\"!==a.type&&e.push(a.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),i=Object.keys(this._removedLayers);for(var a in(n.length||i.length)&&this._updateWorkerLayers(n,i),this._updatedSources){var o=this._updatedSources[a];\"reload\"===o?this._reloadSource(a):\"clear\"===o&&this._clearSource(a)}for(var s in this._updateTilesForChangedImages(),this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}for(var l in this.sourceCaches)this.sourceCaches[l].used=!1;for(var c=0,u=this._order;c<u.length;c+=1){var f=u[c],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(),je(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=jt(e.layers);var n=Zt(this.serialize(),e).filter((function(t){return!(t.command in Ve)}));if(0===n.length)return!1;var i=n.filter((function(t){return!(t.command in Ue)}));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 Ct(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(je(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 c=l[s][o];if(c)for(var u=0,f=c;u<f.length;u+=1){var h=f[u];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 m=this._order[d];if(r(m))for(var g=i.length-1;g>=0;g--){var v=i[g].feature;if(n[v.layer.id]<d)break;p.push(v),i.pop()}else for(var y=0,x=t;y<x.length;y+=1){var b=x[y][m];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 c=[];for(var u in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!i[u]||c.push(F(this.sourceCaches[u],this._layers,this._serializedLayers,e,r,n));return this.placement&&c.push(function(t,e,r,n,i,a,o){for(var s={},l=a.queryRenderedSymbols(n),c=[],u=0,f=Object.keys(l).map(Number);u<f.length;u+=1){var h=f[u];c.push(o[h])}c.sort(B);for(var p=function(){var r=m[d],n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,i.filter,i.layers,i.availableImages,t);for(var a in n){var o=s[a]=s[a]||[],c=n[a];c.sort((function(t,e){var n=r.featureSortOrder;if(n){var i=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-i}return e.featureIndex-t.featureIndex}));for(var u=0,f=c;u<f.length;u+=1){var h=f[u];o.push(h)}}},d=0,m=c;d<m.length;d+=1)p();var g=function(e){s[e].forEach((function(n){var i=n.feature,a=t[e],o=r[a.source].getFeatureState(i.layer[\"source-layer\"],i.id);i.source=i.layer.source,i.layer[\"source-layer\"]&&(i.sourceLayer=i.layer[\"source-layer\"]),i.state=o}))};for(var v in s)g(v);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(c)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,\"querySourceFeatures.filter\",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map((function(e){return t.getTileByID(e)})),n=[],i={},a=0;a<r.length;a++){var o=r[a],s=o.tileID.canonical.key;i[s]||(i[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called \"'+t+'\" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast(\"loadWorkerSource\",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),i=!1;for(var a in e)if(!t.deepEqual(e[a],n[a])){i=!0;break}if(i){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,i,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&je(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},i)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off(\"pluginStateChange\",this._rtlTextPluginCallback),this._layers){this._layers[e].setEventedParent(null)}for(var r in this.sourceCaches)this.sourceCaches[r].clearTiles(),this.sourceCaches[r].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,i,a){void 0===a&&(a=!1);for(var o=!1,s=!1,l={},c=0,u=this._order;c<u.length;c+=1){var f=u[c],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 ze(e,this._order,a,r,n,i,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(var m=0,g=this._order;m<g.length;m+=1){var v=g[m],y=this._layers[v];\"symbol\"===y.type&&this.placement.updateLayerOpacities(y,l[y.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);qe.getSourceType=function(t){return D[t]},qe.setSourceType=function(t,e){D[t]=e},qe.registerForPluginStateChange=t.registerForPluginStateChange;var Ge=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Ye=yr(\"#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;}\"),We=yr(\"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);}\"),Xe=yr(\"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);}\"),Ze=yr(\"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);}\"),Je=yr(\"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);}\"),Ke=yr(\"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;}\"),Qe=yr(\"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;}\"),$e=yr(\"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;}\"),tr=yr(\"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);}\"),er=yr(\"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);}\"),rr=yr(\"#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);}\"),nr=yr(\"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;}\"),ir=yr(\"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;}\"),ar=yr(\"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);}\"),or=yr(\"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;}\"),sr=yr(\"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;}\"),lr=yr(\"#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;}\"),cr=yr(\"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;}\"),ur=yr(\"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);}\"),fr=yr(\"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);}\"),hr=yr(\"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;}\"),pr=yr(\"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);}\"),dr=yr(\"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=yr(\"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));}\"),gr=yr(\"#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);}\"),vr=yr(\"#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 yr(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 xr=Object.freeze({__proto__:null,prelude:Ye,background:We,backgroundPattern:Xe,circle:Ze,clippingMask:Je,heatmap:Ke,heatmapTexture:Qe,collisionBox:$e,collisionCircle:tr,debug:er,fill:rr,fillOutline:nr,fillOutlinePattern:ir,fillPattern:ar,fillExtrusion:or,fillExtrusionPattern:sr,hillshadePrepare:lr,hillshade:cr,line:ur,lineGradient:fr,linePattern:hr,lineSDF:pr,raster:dr,symbolIcon:mr,symbolSDF:gr,symbolTextAndIcon:vr}),br=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};br.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,c=0;!l&&c<n.length;c++)this.boundPaintVertexBuffers[c]!==n[c]&&(l=!0);var u=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||l||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||u?this.freshBind(e,r,n,i,a,o,s):(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind())},br.prototype.freshBind=function(t,e,r,n,i,a,o){var s,l=t.numAttributes,c=this.context,u=c.gl;if(c.extVertexArrayObject)this.vao&&this.destroy(),this.vao=c.extVertexArrayObject.createVertexArrayOES(),c.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=i,this.boundDynamicVertexBuffer=a,this.boundDynamicVertexBuffer2=o;else{s=c.currentNumAttributes||0;for(var f=l;f<s;f++)u.disableVertexAttribArray(f)}e.enableAttributes(u,t);for(var h=0,p=r;h<p.length;h+=1){p[h].enableAttributes(u,t)}a&&a.enableAttributes(u,t),o&&o.enableAttributes(u,t),e.bind(),e.setVertexAttribPointers(u,t,i);for(var d=0,m=r;d<m.length;d+=1){var g=m[d];g.bind(),g.setVertexAttribPointers(u,t,i)}a&&(a.bind(),a.setVertexAttribPointers(u,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(u,t,i)),c.currentNumAttributes=l},br.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var _r=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(Ye.fragmentSource,e.fragmentSource).join(\"\\n\"),l=o.concat(Ye.vertexSource,e.vertexSource).join(\"\\n\"),c=a.createShader(a.FRAGMENT_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(c,s),a.compileShader(c),a.attachShader(this.program,c);var u=a.createShader(a.VERTEX_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(u,l),a.compileShader(u),a.attachShader(this.program,u);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(u),a.deleteShader(c),this.numAttributes=a.getProgramParameter(this.program,a.ACTIVE_ATTRIBUTES),this.attributes={};for(var p={},d=0;d<this.numAttributes;d++){var m=a.getActiveAttrib(this.program,d);m&&(this.attributes[m.name]=a.getAttribLocation(this.program,m.name))}for(var g=a.getProgramParameter(this.program,a.ACTIVE_UNIFORMS),v=0;v<g;v++){var y=a.getActiveUniform(this.program,v);y&&(p[y.name]=a.getUniformLocation(this.program,y.name))}this.fixedUniforms=n(t,p),this.binderUniforms=r?r.getUniforms(t,p):[]}}};function wr(t,e,r){var n=1/pe(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]}}_r.prototype.draw=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m){var g,v=t.gl;if(!this.failedToCreate){for(var y in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[y].set(o[y]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(g={},g[v.LINES]=2,g[v.TRIANGLES]=3,g[v.LINE_STRIP]=1,g)[e],b=0,_=u.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new br)).bind(t,this,l,p?p.getPaintVertexBuffers():[],c,w.vertexOffset,d,m),v.drawElements(e,w.primitiveLength*x,v.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Tr=function(e,r,n,i){var a=r.style.light,o=a.properties.get(\"position\"),s=[o.x,o.y,o.z],l=t.create$1();\"viewport\"===a.properties.get(\"anchor\")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var c=a.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get(\"intensity\"),u_lightcolor:[c.r,c.g,c.b],u_vertical_gradient:+n,u_opacity:i}},kr=function(e,r,n,i,a,o,s){return t.extend(Tr(e,r,n,i),wr(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Ar=function(t){return{u_matrix:t}},Mr=function(e,r,n,i){return t.extend(Ar(e),wr(n,r,i))},Sr=function(t,e){return{u_matrix:t,u_world:e}},Er=function(e,r,n,i,a){return t.extend(Mr(e,r,n,i),{u_world:a})},Lr=function(e,r,n,i){var a,o,s=e.transform;if(\"map\"===i.paint.get(\"circle-pitch-alignment\")){var l=pe(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}},Cr=function(t,e,r){var n=pe(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}},Pr=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]}},Ir=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Or=function(t){return{u_matrix:t}},zr=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:pe(e,1,r),u_intensity:n}};function Dr(e,r){var n=Math.pow(2,r.canonical.z),i=r.canonical.y;return[new t.MercatorCoordinate(0,i/n).toLngLat().lat,new t.MercatorCoordinate(0,(i+1)/n).toLngLat().lat]}var Rr=function(e,r,n){var i=e.transform;return{u_matrix:Ur(e,r,n),u_ratio:1/pe(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},Fr=function(e,r,n){return t.extend(Rr(e,r,n),{u_image:0})},Br=function(e,r,n,i){var a=e.transform,o=jr(r,a);return{u_matrix:Ur(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/pe(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]]}},Nr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=jr(r,o),c=\"round\"===n.layout.get(\"line-cap\"),u=s.getDash(i.from,c),f=s.getDash(i.to,c),h=u.width*a.fromScale,p=f.width*a.toScale;return t.extend(Rr(e,r,n),{u_patternscale_a:[l/h,-u.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:u.y,u_tex_y_b:f.y,u_mix:a.t})};function jr(t,e){return 1/pe(t,1,e.tileZoom)}function Ur(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var Vr=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:Hr(i.paint.get(\"raster-hue-rotate\"))};var a,o};function Hr(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 qr,Gr=function(t,e,r,n,i,a,o,s,l,c){var u=i.transform;return{u_is_size_zoom_constant:+(\"constant\"===t||\"source\"===t),u_is_size_feature_constant:+(\"constant\"===t||\"camera\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:u.cameraToCenterDistance,u_pitch:u.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:u.width/u.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:c,u_texture:0}},Yr=function(e,r,n,i,a,o,s,l,c,u,f){var h=a.transform;return t.extend(Gr(e,r,n,i,a,o,s,l,c,u),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},Wr=function(e,r,n,i,a,o,s,l,c,u){return t.extend(Yr(e,r,n,i,a,o,s,l,!0,c,!0),{u_texsize_icon:u,u_texture_icon:1})},Xr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},Zr=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,c=Math.pow(2,n.tileID.overscaledZ),u=n.tileSize*Math.pow(2,r.transform.tileZoom)/c,f=u*(n.tileID.canonical.x+n.tileID.wrap*c),h=u*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/pe(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})},Jr={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 Kr(e,r,n,i,a,o,s){for(var l=e.context,c=l.gl,u=e.useProgram(\"collisionBox\"),f=[],h=0,p=0,d=0;d<i.length;d++){var m=i[d],g=r.getTile(m),v=g.getBucket(n);if(v){var y=m.posMatrix;0===a[0]&&0===a[1]||(y=e.translatePosMatrix(m.posMatrix,g,a,o));var x=s?v.textCollisionBox:v.iconCollisionBox,b=v.collisionCircleArray;if(b.length>0){var _=t.create(),w=y;t.mul(_,v.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,v.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&u.draw(l,c.LINES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,Cr(y,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],I=E.circleArray[C+1],O=E.circleArray[C+2],z=E.circleArray[C+3];k.emplace(A++,P,I,O,z,0),k.emplace(A++,P,I,O,z,1),k.emplace(A++,P,I,O,z,2),k.emplace(A++,P,I,O,z,3)}(!qr||qr.length<2*h)&&(qr=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 D=l.createIndexBuffer(qr,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=f;F<B.length;F+=1){var N=B[F],j=Pr(N.transform,N.invTransform,e.transform);T.draw(l,c.TRIANGLES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,j,n.id,R,D,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),D.destroy()}}var Qr=t.identity(new Float32Array(16));function $r(e,r,n,i,a,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,c=-(s.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,i);return new t.Point((l/a+u[0])*o,(c/a+u[1])*o)}function tn(e,r,n,i,a,o,s,l,c,u,f){var h=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,m={};p.clear();for(var g=0;g<h.length;g++){var v=h.get(g),y=e.allowVerticalPlacement&&!v.placedOrientation,x=v.hidden||!v.crossTileID||y?null:i[v.crossTileID];if(x){var b=new t.Point(v.anchorX,v.anchorY),_=te(b,n?l:s),w=ee(o.cameraToCenterDistance,_.signedDistanceFromCamera),T=a.evaluateSizeForFeature(e.textSizeData,u,v)*w/t.ONE_EM;n&&(T*=e.tilePixelRatio/c);for(var k=x.width,A=x.height,M=$r(x.anchor,k,A,x.textOffset,x.textBoxScale,T),S=n?te(b.add(M),s).point:_.point.add(r?M.rotate(-o.angle):M),E=e.allowVerticalPlacement&&v.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,L=0;L<v.numGlyphs;L++)t.addDynamicAttributes(p,S,E);f&&v.associatedIconIndex>=0&&(m[v.associatedIconIndex]={shiftedAnchor:S,angle:E})}else ue(v.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P<C.length;P++){var I=C.get(P);if(I.hidden)ue(I.numGlyphs,d);else{var O=m[P];if(O)for(var z=0;z<I.numGlyphs;z++)t.addDynamicAttributes(d,O.shiftedAnchor,O.angle);else ue(I.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function en(t,e,r){return r.iconsInText&&e?\"symbolTextAndIcon\":t?\"symbolSDF\":\"symbolIcon\"}function rn(e,r,n,i,a,o,s,l,c,u,f,h){for(var p=e.context,d=p.gl,m=e.transform,g=\"map\"===l,v=\"map\"===c,y=g&&\"point\"!==n.layout.get(\"symbol-placement\"),x=g&&!v&&!y,b=void 0!==n.layout.get(\"symbol-sort-key\").constantOr(1),_=e.depthModeForSublayer(0,At.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,I=a?E.textSizeData:E.iconSizeData,O=v||0!==m.pitch,z=e.useProgram(en(P,a,E),C),D=t.evaluateSizeForZoom(I,m.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\"===I.kind||\"camera\"===I.kind;U=O||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||O?d.LINEAR:d.NEAREST,R=S.imageAtlasTexture.size}var q=pe(S,1,e.transform.zoom),G=Qt(M.posMatrix,v,g,e.transform,q),Y=$t(M.posMatrix,v,g,e.transform,q),W=w&&E.hasTextData(),X=\"none\"!==n.layout.get(\"icon-text-fit\")&&W&&E.hasIconData();y&&ne(E,M.posMatrix,e,a,G,Y,v,u);var Z=e.translatePosMatrix(M.posMatrix,S,o,s),J=y||a&&w||X?Qr:G,K=e.translatePosMatrix(Y,S,o,s,!0),Q=P&&0!==n.paint.get(a?\"text-halo-width\":\"icon-halo-width\").constantOr(1),$={program:z,buffers:L,uniformValues:P?E.iconsInText?Wr(I.kind,D,x,v,e,Z,J,K,R,F):Yr(I.kind,D,x,v,e,Z,J,K,a,R,!0):Gr(I.kind,D,x,v,e,Z,J,K,a,R),atlasTexture:B,atlasTextureIcon:j,atlasInterpolation:N,atlasInterpolationIcon:U,isSDF:P,hasHalo:Q};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:$})}else T.push({segments:L.segments,sortKey:0,state:$})}}}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,nn(ot.buffers,at.segments,n,e,ot.program,_,f,h,st)),st.u_is_halo=0}nn(ot.buffers,at.segments,n,e,ot.program,_,f,h,ot.uniformValues)}}function nn(t,e,r,n,i,a,o,s,l){var c=n.context,u=c.gl;i.draw(c,u.TRIANGLES,a,o,s,Et.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function an(t,e,r,n,i,a,o){var s,l,c,u,f,h=t.context.gl,p=r.paint.get(\"fill-pattern\"),d=p&&p.constantOr(1),m=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",s=h.LINES):(l=d?\"fillPattern\":\"fill\",s=h.TRIANGLES);for(var g=0,v=n;g<v.length;g+=1){var y=v[g],x=e.getTile(y);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(m));var T=p.constantOr(null);if(T&&x.imageAtlas){var k=x.imageAtlas,A=k.patternPositions[T.to.toString()],M=k.patternPositions[T.from.toString()];A&&M&&_.setConstantPatternPositions(A,M)}var S=t.translatePosMatrix(y.posMatrix,x,r.paint.get(\"fill-translate\"),r.paint.get(\"fill-translate-anchor\"));if(o){u=b.indexBuffer2,f=b.segments2;var E=[h.drawingBufferWidth,h.drawingBufferHeight];c=\"fillOutlinePattern\"===l&&d?Er(S,t,m,x,E):Sr(S,E)}else u=b.indexBuffer,f=b.segments,c=d?Mr(S,t,m,x):Ar(S);w.draw(t.context,s,i,t.stencilModeForClipping(y),a,Et.disabled,c,r.id,b.layoutVertexBuffer,u,f,r.paint,t.transform.zoom,_)}}}}function on(t,e,r,n,i,a,o){for(var s=t.context,l=s.gl,c=r.paint.get(\"fill-extrusion-pattern\"),u=c.constantOr(1),f=r.getCrossfadeParameters(),h=r.paint.get(\"fill-extrusion-opacity\"),p=0,d=n;p<d.length;p+=1){var m=d[p],g=e.getTile(m),v=g.getBucket(r);if(v){var y=v.programConfigurations.get(r.id),x=t.useProgram(u?\"fillExtrusionPattern\":\"fillExtrusion\",y);u&&(t.context.activeTexture.set(l.TEXTURE0),g.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),y.updatePaintBuffers(f));var b=c.constantOr(null);if(b&&g.imageAtlas){var _=g.imageAtlas,w=_.patternPositions[b.to.toString()],T=_.patternPositions[b.from.toString()];w&&T&&y.setConstantPatternPositions(w,T)}var k=t.translatePosMatrix(m.posMatrix,g,r.paint.get(\"fill-extrusion-translate\"),r.paint.get(\"fill-extrusion-translate-anchor\")),A=r.paint.get(\"fill-extrusion-vertical-gradient\"),M=u?kr(k,t,A,h,m,f,g):Tr(k,t,A,h);x.draw(s,s.gl.TRIANGLES,i,a,o,Et.backCCW,M,r.id,v.layoutVertexBuffer,v.indexBuffer,v.segments,r.paint,t.transform.zoom,y)}}}function sn(t,e,r,n,i,a){var o=t.context,s=o.gl,l=e.fbo;if(l){var c=t.useProgram(\"hillshade\");o.activeTexture.set(s.TEXTURE0),s.bindTexture(s.TEXTURE_2D,l.colorAttachment.get());var u=function(t,e,r){var n=r.paint.get(\"hillshade-shadow-color\"),i=r.paint.get(\"hillshade-highlight-color\"),a=r.paint.get(\"hillshade-accent-color\"),o=r.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);\"viewport\"===r.paint.get(\"hillshade-illumination-anchor\")&&(o-=t.transform.angle);var s=!t.options.moving;return{u_matrix:t.transform.calculatePosMatrix(e.tileID.toUnwrapped(),s),u_image:0,u_latrange:Dr(t,e.tileID),u_light:[r.paint.get(\"hillshade-exaggeration\"),o],u_shadow:n,u_highlight:i,u_accent:a}}(t,e,r);c.draw(o,s.TRIANGLES,n,i,a,Et.disabled,u,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}function ln(e,r,n,i,a,o,s){var l=e.context,c=l.gl,u=r.dem;if(u&&u.data){var f=u.dim,h=u.stride,p=u.getPixels();if(l.activeTexture.set(c.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(c.NEAREST,c.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(l,p,c.RGBA,{premultiply:!1}),r.demTexture.bind(c.NEAREST,c.CLAMP_TO_EDGE);l.activeTexture.set(c.TEXTURE0);var m=r.fbo;if(!m){var g=new t.Texture(l,{width:f,height:f,data:null},c.RGBA);g.bind(c.LINEAR,c.CLAMP_TO_EDGE),(m=r.fbo=l.createFramebuffer(f,f,!0)).colorAttachment.set(g.texture)}l.bindFramebuffer.set(m.framebuffer),l.viewport.set([0,0,f,f]),e.useProgram(\"hillshadePrepare\").draw(l,c.TRIANGLES,a,o,s,Et.disabled,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()}}(r.tileID,u,i),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function cn(e,r,n,i,a){var o=i.paint.get(\"raster-fade-duration\");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,c=r?(s-r.timeAdded)/o:-1,u=n.getSource(),f=a.coveringZoomLevel({tileSize:u.tileSize,roundZoom:u.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-c,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var un=new t.Color(1,0,0,1),fn=new t.Color(0,1,0,1),hn=new t.Color(0,0,1,1),pn=new t.Color(1,0,1,1),dn=new t.Color(0,1,1,1);function mn(t){var e=t.transform.padding;gn(t,t.transform.height-(e.top||0),3,un),gn(t,e.bottom||0,3,fn),vn(t,e.left||0,3,hn),vn(t,t.transform.width-(e.right||0),3,pn);var r=t.transform.centerPoint;!function(t,e,r,n){yn(t,e-1,r-10,2,20,n),yn(t,e-10,r-1,20,2,n)}(t,r.x,t.transform.height-r.y,dn)}function gn(t,e,r,n){yn(t,0,e+r/2,t.transform.width,r,n)}function vn(t,e,r,n){yn(t,e-r/2,0,r,t.transform.height,n)}function yn(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 xn(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram(\"debug\"),l=At.disabled,c=Mt.disabled,u=e.colorModeForRenderPass();i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,c,u,Et.disabled,Ir(o,t.Color.red),\"$debug\",e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var f=r.getTileByID(n.key).latestRawTileData,h=f&&f.byteLength||0,p=Math.floor(h/1024),d=r.getTile(n).tileSize,m=512/Math.min(d,512)*(n.overscaledZ/e.transform.zoom)*.5,g=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(g+=\" => \"+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext(\"2d\");i.clearRect(0,0,r.width,r.height),i.shadowColor=\"white\",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle=\"white\",i.textBaseline=\"top\",i.font=\"bold 36px Open Sans, sans-serif\",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,g+\" \"+p+\"kb\"),s.draw(i,a.TRIANGLES,l,c,St.alphaBlended,Et.disabled,Ir(o,t.Color.transparent,m),\"$debug\",e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var bn={symbol:function(e,r,n,i,a){if(\"translucent\"===e.renderPass){var o=Mt.disabled,s=e.colorModeForRenderPass();n.layout.get(\"text-variable-anchor\")&&function(e,r,n,i,a,o,s){for(var l=r.transform,c=\"map\"===a,u=\"map\"===o,f=0,h=e;f<h.length;f+=1){var p=h[f],d=i.getTile(p),m=d.getBucket(n);if(m&&m.text&&m.text.segments.get().length){var g=m.textSizeData,v=t.evaluateSizeForZoom(g,l.zoom),y=pe(d,1,r.transform.zoom),x=Qt(p.posMatrix,u,c,r.transform,y),b=\"none\"!==n.layout.get(\"icon-text-fit\")&&m.hasIconData();if(v){var _=Math.pow(2,l.zoom-d.tileID.overscaledZ);tn(m,c,u,s,t.symbolSize,l,x,p.posMatrix,_,v,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)&&rn(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)&&rn(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&&(Kr(e,r,n,i,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),!0),Kr(e,r,n,i,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),!1))}},circle:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"circle-opacity\"),o=n.paint.get(\"circle-stroke-width\"),s=n.paint.get(\"circle-stroke-opacity\"),l=void 0!==n.layout.get(\"circle-sort-key\").constantOr(1);if(0!==a.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var c=e.context,u=c.gl,f=e.depthModeForSublayer(0,At.ReadOnly),h=Mt.disabled,p=e.colorModeForRenderPass(),d=[],m=0;m<i.length;m++){var g=i[m],v=r.getTile(g),y=v.getBucket(n);if(y){var x=y.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram(\"circle\",x),layoutVertexBuffer:y.layoutVertexBuffer,indexBuffer:y.indexBuffer,uniformValues:Lr(e,g,v,n)};if(l)for(var _=0,w=y.segments.get();_<w.length;_+=1){var T=w[_];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:b})}else d.push({segments:y.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,I=S.uniformValues,O=M.segments;L.draw(c,u.TRIANGLES,f,h,p,Et.disabled,I,n.id,C,P,O,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=Mt.disabled,l=new St([o.ONE,o.ONE],t.Color.transparent,[!0,!0,!0,!0]);!function(t,e,r){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var i=r.heatmapFbo;if(i)n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),t.bindFramebuffer.set(i.framebuffer);else{var a=n.createTexture();n.bindTexture(n.TEXTURE_2D,a),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),i=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1),function(t,e,r,n){var i=t.gl,a=t.extRenderToTextureHalfFloat?t.extTextureHalfFloat.HALF_FLOAT_OES:i.UNSIGNED_BYTE;i.texImage2D(i.TEXTURE_2D,0,i.RGBA,e.width/4,e.height/4,0,i.RGBA,a,null),n.colorAttachment.set(r)}(t,e,a,i)}}(a,e,n),a.clear({color:t.Color.transparent});for(var c=0;c<i.length;c++){var u=i[c];if(!r.hasRenderableParent(u)){var f=r.getTile(u),h=f.getBucket(n);if(h){var p=h.programConfigurations.get(n.id),d=e.useProgram(\"heatmap\",p),m=e.transform.zoom;d.draw(a,o.TRIANGLES,At.disabled,s,l,Et.disabled,zr(u.posMatrix,f,m,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)return;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,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,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\")}}(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,At.ReadOnly),l=e.colorModeForRenderPass(),c=n.paint.get(\"line-dasharray\"),u=n.paint.get(\"line-pattern\"),f=u.constantOr(1),h=n.paint.get(\"line-gradient\"),p=n.getCrossfadeParameters(),d=f?\"linePattern\":c?\"lineSDF\":h?\"lineGradient\":\"line\",m=e.context,g=m.gl,v=!0;if(h){m.activeTexture.set(g.TEXTURE0);var y=n.gradientTexture;if(!n.gradient)return;y||(y=n.gradientTexture=new t.Texture(m,n.gradient,g.RGBA)),y.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=v||M.program!==A,E=u.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 I=f?Br(e,w,n,p):c?Nr(e,w,n,c,p):h?Fr(e,w,n):Rr(e,w,n);f?(m.activeTexture.set(g.TEXTURE0),w.imageAtlasTexture.bind(g.LINEAR,g.CLAMP_TO_EDGE),k.updatePaintBuffers(p)):c&&(S||e.lineAtlas.dirty)&&(m.activeTexture.set(g.TEXTURE0),e.lineAtlas.bind(m)),M.draw(m,g.TRIANGLES,s,e.stencilModeForClipping(_),l,Et.disabled,I,n.id,T.layoutVertexBuffer,T.indexBuffer,T.segments,n.paint,e.transform.zoom,k),v=!1}}}}}},fill:function(e,r,n,i){var a=n.paint.get(\"fill-color\"),o=n.paint.get(\"fill-opacity\");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get(\"fill-pattern\"),c=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?\"opaque\":\"translucent\";if(e.renderPass===c){var u=e.depthModeForSublayer(1,\"opaque\"===e.renderPass?At.ReadWrite:At.ReadOnly);an(e,r,n,i,u,s,!1)}if(\"translucent\"===e.renderPass&&n.paint.get(\"fill-antialias\")){var f=e.depthModeForSublayer(n.getPaintProperty(\"fill-outline-color\")?2:0,At.ReadOnly);an(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 At(t.context.gl.LEQUAL,At.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get(\"fill-extrusion-pattern\").constantOr(1))on(t,e,r,n,a,Mt.disabled,St.disabled),on(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();on(t,e,r,n,a,Mt.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,At.ReadOnly),s=t.colorModeForRenderPass(),l=\"translucent\"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],c=l[0],u=0,f=l[1];u<f.length;u+=1){var h=f[u],p=e.getTile(h);p.needsHillshadePrepare&&\"offscreen\"===t.renderPass?ln(t,p,r,a,o,Mt.disabled,s):\"translucent\"===t.renderPass&&sn(t,p,r,o,c[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(),c=o instanceof I?[{},n]:t.stencilConfigForOverlap(n),u=c[0],f=c[1],h=f[f.length-1].overscaledZ,p=!t.options.moving,d=0,m=f;d<m.length;d+=1){var g=m[d],v=t.depthModeForSublayer(g.overscaledZ-h,1===r.paint.get(\"raster-opacity\")?At.ReadWrite:At.ReadOnly,a.LESS),y=e.getTile(g),x=t.transform.calculatePosMatrix(g.toUnwrapped(),p);y.registerFadeDuration(r.paint.get(\"raster-fade-duration\"));var b=e.findLoadedParent(g,0),_=cn(y,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),y.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-y.tileID.overscaledZ),T=[y.tileID.canonical.x*w%1,y.tileID.canonical.y*w%1]):y.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST);var A=Vr(x,T||[0,0],w||1,_,r);o instanceof I?s.draw(i,a.TRIANGLES,v,Mt.disabled,l,Et.disabled,A,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,v,u[g.overscaledZ],l,Et.disabled,A,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get(\"background-color\"),i=r.paint.get(\"background-opacity\");if(0!==i){var a=t.context,o=a.gl,s=t.transform,l=s.tileSize,c=r.paint.get(\"background-pattern\");if(!t.isPatternMissing(c)){var u=!c&&1===n.a&&1===i&&t.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(t.renderPass===u){var f=Mt.disabled,h=t.depthModeForSublayer(0,\"opaque\"===u?At.ReadWrite:At.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(c?\"backgroundPattern\":\"background\"),m=s.coveringTiles({tileSize:l});c&&(a.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var g=r.getCrossfadeParameters(),v=0,y=m;v<y.length;v+=1){var x=y[v],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=c?Zr(b,i,t,c,{tileID:x,tileSize:l},g):Xr(b,i,n);d.draw(a,o.TRIANGLES,h,f,p,Et.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)xn(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(Mt.disabled);var o=\"3d\"===i.renderingMode?new At(t.context.gl.LEQUAL,At.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,At.ReadOnly);n.setDepthMode(o),i.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},_n=function(t,e){this.context=new Lt(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Ct.maxUnderzooming+Ct.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Ne,this.gpuTimers={}};_n.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()}},_n.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,Ge.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,Ge.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var i=new t.StructArrayLayout4i8;i.emplaceBack(0,0,0,0),i.emplaceBack(t.EXTENT,0,t.EXTENT,0),i.emplaceBack(0,t.EXTENT,0,t.EXTENT),i.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(i,P.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var a=new t.StructArrayLayout2i4;a.emplaceBack(0,0),a.emplaceBack(1,0),a.emplaceBack(0,1),a.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(a,Ge.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 Mt({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},_n.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,At.disabled,this.stencilClearMode,St.disabled,Et.disabled,Or(n),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},_n.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(St.disabled),r.setDepthMode(At.disabled);var i=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var a=0,o=e;a<o.length;a+=1){var s=o[a],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;i.draw(r,n.TRIANGLES,At.disabled,new Mt({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),St.disabled,Et.disabled,Or(s.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},_n.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Mt({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},_n.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Mt({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},_n.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 Mt({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]=Mt.disabled,e),n]},_n.prototype.colorModeForRenderPass=function(){var e=this.context.gl;if(this._showOverdrawInspector){return new St([e.CONSTANT_COLOR,e.ONE],new t.Color(1/8,1/8,1/8,0),[!0,!0,!0,!0])}return\"opaque\"===this.renderPass?St.unblended:St.alphaBlended},_n.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return At.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new At(r||this.context.gl.LEQUAL,e,[n,n])},_n.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},_n.prototype.render=function(e,r){var n=this;this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var i=this.style._order,a=this.style.sourceCaches;for(var o in a){var s=a[o];s.used&&s.prepare(this.context)}var l,c,u={},f={},h={};for(var p in a){var d=a[p];u[p]=d.getVisibleCoordinates(),f[p]=u[p].slice().reverse(),h[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var m=0;m<i.length;m++){var g=i[m];if(this.style._layers[g].is3D()){this.opaquePassCutoff=m;break}}this.renderPass=\"offscreen\";for(var v=0,y=i;v<y.length;v+=1){var x=y[v],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=u[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<i.length;this.currentLayer++){var A=this.style._layers[i[this.currentLayer]],M=a[A.source],S=(\"symbol\"===A.type?h:f)[A.source];this._renderTileClippingMasks(A,u[A.source]),this.renderLayer(this,M,A,S)}this.options.showTileBoundaries&&(t.values(this.style._layers).forEach((function(t){t.source&&!t.isHidden(n.transform.zoom)&&(t.source!==(c&&c.id)&&(c=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<c.getSource().maxzoom)&&(l=c))})),l&&bn.debug(this,l,l.getVisibleCoordinates()));this.options.showPadding&&mn(this),this.context.setDefault()},_n.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),bn[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},_n.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)}},_n.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},_n.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},_n.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},_n.prototype.translatePosMatrix=function(e,r,n,i,a){if(!n[0]&&!n[1])return e;var o=a?\"map\"===i?this.transform.angle:0:\"viewport\"===i?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var c=[a?n[0]:pe(r,n[0],this.transform.zoom),a?n[1]:pe(r,n[1],this.transform.zoom),0],u=new Float32Array(16);return t.translate(u,e,c),u},_n.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},_n.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},_n.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},_n.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 _r(this.context,xr[t],e,Jr[t],this._showOverdrawInspector)),this.cache[r]},_n.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()},_n.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)},_n.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)}},_n.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var wn=function(t,e){this.points=t,this.planes=e};wn.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 wn(a,o)};var Tn=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};Tn.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 Tn(n,i)},Tn.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},Tn.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},Tn.prototype.intersects=function(e){for(var r=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],n=!0,i=0;i<e.planes.length;i++){for(var a=e.planes[i],o=0,s=0;s<r.length;s++)o+=t.dot$1(a,r[s])>=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var c=Number.MAX_VALUE,u=-Number.MAX_VALUE,f=0;f<e.points.length;f++){var h=e.points[f][l]-this.min[l];c=Math.min(c,h),u=Math.max(u,h)}if(u<0||c>this.max[l]-this.min[l])return 0}return 1};var kn=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};kn.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},kn.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)},kn.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},kn.prototype.clone=function(){return new kn(this.top,this.bottom,this.left,this.right)},kn.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var An=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 kn,this._posMatrixCache={},this._alignedPosMatrixCache={}},Mn={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}};An.prototype.clone=function(){var t=new An(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},Mn.minZoom.get=function(){return this._minZoom},Mn.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},Mn.maxZoom.get=function(){return this._maxZoom},Mn.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},Mn.minPitch.get=function(){return this._minPitch},Mn.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},Mn.maxPitch.get=function(){return this._maxPitch},Mn.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},Mn.renderWorldCopies.get=function(){return this._renderWorldCopies},Mn.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},Mn.worldSize.get=function(){return this.tileSize*this.scale},Mn.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},Mn.size.get=function(){return new t.Point(this.width,this.height)},Mn.bearing.get=function(){return-this.angle/Math.PI*180},Mn.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))},Mn.pitch.get=function(){return this._pitch/Math.PI*180},Mn.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())},Mn.fov.get=function(){return this._fov/Math.PI*180},Mn.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())},Mn.zoom.get=function(){return this._zoom},Mn.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())},Mn.center.get=function(){return this._center},Mn.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},Mn.padding.get=function(){return this._edgeInsets.toJSON()},Mn.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},Mn.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},An.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},An.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},An.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)},An.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),c=s-1;c<=l+1;c++)0!==c&&r.push(new t.UnwrappedTileID(c,e));return r},An.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=wn.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var c=function(t){return{aabb:new Tn([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},u=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)u.push(c(-d)),u.push(c(d));for(u.push(c(0));u.length>0;){var m=u.pop(),g=m.x,v=m.y,y=m.fullyVisible;if(!y){var x=m.aabb.intersects(s);if(0===x)continue;y=2===x}var b=m.aabb.distanceX(o),_=m.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<<h-m.zoom)-2;if(m.zoom===h||w>T&&m.zoom>=l)f.push({tileID:new t.OverscaledTileID(m.zoom===h?p:m.zoom,m.wrap,m.zoom,g,v),distanceSq:t.sqrLen([o[0]-.5-g,o[1]-.5-v])});else for(var k=0;k<4;k++){var A=(g<<1)+k%2,M=(v<<1)+(k>>1);u.push({aabb:m.aabb.quadrant(k),zoom:m.zoom+1,x:A,y:M,wrap:m.wrap,fullyVisible:y})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},An.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},Mn.unmodified.get=function(){return this._unmodified},An.prototype.zoomScale=function(t){return Math.pow(2,t)},An.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},An.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)},An.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},Mn.point.get=function(){return this.project(this.center)},An.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())},An.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},An.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},An.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},An.prototype.coordinateLocation=function(t){return t.toLngLat()},An.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,c=n[1]/a,u=r[2]/i,f=n[2]/a,h=u===f?0:(0-u)/(f-u);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,c,h)/this.worldSize)},An.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])},An.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)))},An.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},An.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])},An.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]},An.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},An.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,c=this.size,u=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-a<c.y?c.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<c.x?c.x/(l-s):0}var p=this.point,d=Math.max(r||0,e||0);if(d)return this.center=this.unproject(new t.Point(r?(l+s)/2:p.x,e?(o+a)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=u,void(this._constraining=!1);if(this.latRange){var m=p.y,g=c.y/2;m-g<a&&(i=a+g),m+g>o&&(i=o-g)}if(this.lngRange){var v=p.x,y=c.x/2;v-y<s&&(n=s+y),v+y>l&&(n=l-y)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=u,this._constraining=!1}},An.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,c=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),u=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,u,c),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),m=Math.sin(this.angle),g=s-Math.round(s)+d*h+m*p,v=l-Math.round(l)+d*p+m*h,y=new Float64Array(f);if(t.translate(y,y,[g>.5?g-1:g,v>.5?v-1:v,0]),this.alignedProjMatrix=y,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={}}},An.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},An.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},An.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var c=l[s];n=Math.min(n,c.x),i=Math.min(i,c.y),a=Math.max(a,c.x),o=Math.max(o,c.y)}return[new t.Point(n,i),new t.Point(a,i),new t.Point(a,o),new t.Point(n,o),new t.Point(n,i)]},Object.defineProperties(An.prototype,Mn);var Sn=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})};Sn.prototype.addTo=function(e){return this._map=e,t.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},Sn.prototype.remove=function(){return t.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},Sn.prototype.getHashString=function(e){var r=this._map.getCenter(),n=Math.round(100*this._map.getZoom())/100,i=Math.ceil((n*Math.LN2+Math.log(512/360/.5))/Math.LN10),a=Math.pow(10,i),o=Math.round(r.lng*a)/a,s=Math.round(r.lat*a)/a,l=this._map.getBearing(),c=this._map.getPitch(),u=\"\";if(u+=e?\"/\"+o+\"/\"+s+\"/\"+n:n+\"/\"+s+\"/\"+o,(l||c)&&(u+=\"/\"+Math.round(10*l)/10),c&&(u+=\"/\"+Math.round(c)),this._hashName){var 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+\"=\"+u):t})).filter((function(t){return t}));return h||p.push(f+\"=\"+u),\"#\"+p.join(\"&\")}return\"#\"+u},Sn.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(\"/\")},Sn.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},Sn.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,\"\",e)}catch(t){}};var En={linearity:.3,easing:t.bezier(0,0,.3,1)},Ln=t.extend({deceleration:2500,maxSpeed:1400},En),Cn=t.extend({deceleration:20,maxSpeed:1400},En),Pn=t.extend({deceleration:1e3,maxSpeed:360},En),In=t.extend({deceleration:1e3,maxSpeed:90},En),On=function(t){this._map=t,this.clear()};function zn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function Dn(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)}}On.prototype.clear=function(){this._inertiaBuffer=[]},On.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},On.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},On.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=Dn(r.pan.mag(),o,t.extend({},Ln,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,zn(s,l)}if(r.zoom){var c=Dn(r.zoom,o,Cn);s.zoom=this._map.transform.zoom+c.amount,zn(s,c)}if(r.bearing){var u=Dn(r.bearing,o,Pn);s.bearing=this._map.transform.bearing+t.clamp(u.amount,-179,179),zn(s,u)}if(r.pitch){var f=Dn(r.pitch,o,In);s.pitch=this._map.transform.pitch+f.amount,zn(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 Rn=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),Fn=function(e){function n(n,i,a){var o=\"touchend\"===n?a.changedTouches:a.touches,s=r.touchPos(i.getCanvasContainer(),o),l=s.map((function(t){return i.unproject(t)})),c=s.reduce((function(t,e,r,n){return t.add(e.div(n.length))}),new t.Point(0,0)),u=i.unproject(c);e.call(this,n,{points:s,point:c,lngLats:l,lngLat:u,originalEvent:a}),this._defaultPrevented=!1}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Bn=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),Nn=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};Nn.prototype.reset=function(){delete this._mousedownPos},Nn.prototype.wheel=function(t){return this._firePreventable(new Bn(t.type,this._map,t))},Nn.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new Rn(t.type,this._map,t))},Nn.prototype.mouseup=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.dblclick=function(t){return this._firePreventable(new Rn(t.type,this._map,t))},Nn.prototype.mouseover=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.mouseout=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.touchstart=function(t){return this._firePreventable(new Fn(t.type,this._map,t))},Nn.prototype.touchmove=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype.touchend=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype.touchcancel=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Nn.prototype.isEnabled=function(){return!0},Nn.prototype.isActive=function(){return!1},Nn.prototype.enable=function(){},Nn.prototype.disable=function(){};var jn=function(t){this._map=t};jn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},jn.prototype.mousemove=function(t){this._map.fire(new Rn(t.type,this._map,t))},jn.prototype.mousedown=function(){this._delayContextMenu=!0},jn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Rn(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},jn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Rn(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()},jn.prototype.isEnabled=function(){return!0},jn.prototype.isActive=function(){return!1},jn.prototype.enable=function(){},jn.prototype.disable=function(){};var Un=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Vn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Un.prototype.isEnabled=function(){return!!this._enabled},Un.prototype.isActive=function(){return!!this._active},Un.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Un.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Un.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Un.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\"}}},Un.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)}},Un.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent(\"boxzoomcancel\",t))},Un.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},Un.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var Hn=function(t){this.reset(),this.numTouches=t.numTouches};Hn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},Hn.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=Vn(n,r)))},Hn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=Vn(r,e);for(var i in this.touches){var a=this.touches[i],o=n[i];(!o||o.dist(a)>30)&&(this.aborted=!0)}}},Hn.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 qn=function(t){this.singleTap=new Hn(t),this.numTaps=t.numTaps,this.reset()};qn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},qn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},qn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},qn.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 Gn=function(){this._zoomIn=new qn({numTouches:1,numTaps:2}),this._zoomOut=new qn({numTouches:2,numTaps:1}),this.reset()};Gn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Gn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Gn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Gn.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},Gn.prototype.touchcancel=function(){this.reset()},Gn.prototype.enable=function(){this._enabled=!0},Gn.prototype.disable=function(){this._enabled=!1,this.reset()},Gn.prototype.isEnabled=function(){return this._enabled},Gn.prototype.isActive=function(){return this._active};var Yn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Yn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Yn.prototype._correctButton=function(t,e){return!1},Yn.prototype._move=function(t,e){return{}},Yn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Yn.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)},Yn.prototype.mouseupWindow=function(t){r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},Yn.prototype.enable=function(){this._enabled=!0},Yn.prototype.disable=function(){this._enabled=!1,this.reset()},Yn.prototype.isEnabled=function(){return this._enabled},Yn.prototype.isActive=function(){return this._active};var Wn=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}(Yn),Xn=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}(Yn),Zn=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}(Yn),Jn=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};Jn.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},Jn.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},Jn.prototype.touchmove=function(t,e,r){if(this._active)return t.preventDefault(),this._calculateTransform(t,e,r)},Jn.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},Jn.prototype.touchcancel=function(){this.reset()},Jn.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var i=Vn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var c=i[l],u=this._touches[l];u&&(a._add(c),o._add(c.sub(u)),s++,i[l]=c)}if(this._touches=i,!(s<this._minTouches)&&o.mag()){var f=o.div(s);if(this._sum._add(f),!(this._sum.mag()<this._clickTolerance))return{around:a.div(s),panDelta:f}}},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(){this.reset()};function Qn(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}Kn.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},Kn.prototype._start=function(t){},Kn.prototype._move=function(t,e,r){return{}},Kn.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]]))},Kn.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,i=n[0],a=n[1],o=Qn(r,e,i),s=Qn(r,e,a);if(o&&s){var l=this._aroundCenter?null:o.add(s).div(2);return this._move([o,s],l,t)}}},Kn.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var i=this._firstTwoTouches,a=i[0],o=i[1],s=Qn(n,e,a),l=Qn(n,e,o);s&&l||(this._active&&r.suppressClick(),this.reset())}},Kn.prototype.touchcancel=function(){this.reset()},Kn.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around},Kn.prototype.disable=function(){this._enabled=!1,this.reset()},Kn.prototype.isEnabled=function(){return this._enabled},Kn.prototype.isActive=function(){return this._active};function $n(t,e){return Math.log(t/e)/Math.LN2}var ti=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._distance,delete this._startDistance},e.prototype._start=function(t){this._startDistance=this._distance=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs($n(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:$n(this._distance,r),pinchAround:e}},e}(Kn);function ei(t,e){return 180*t.angleWith(e)/Math.PI}var ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.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:ei(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=ei(t,this._startVector);return Math.abs(r)<e},e}(Kn);function ni(t){return Math.abs(t.y)>Math.abs(t.x)}var ii=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,ni(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){this._lastPoints=t,this._active=!0;return{pitchDelta:-.5*((n.y+i.y)/2)}}},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 ni(t)&&ni(e)&&a}},e}(Kn),ai={panStep:100,bearingStep:15,pitchStep:10},oi=function(){var t=ai;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep};function si(t){return t*(2-t)}oi.prototype.reset=function(){this._active=!1},oi.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:si,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})}}}},oi.prototype.enable=function(){this._enabled=!0},oi.prototype.disable=function(){this._enabled=!1,this.reset()},oi.prototype.isEnabled=function(){return this._enabled},oi.prototype.isActive=function(){return this._active};var li=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=1/450,t.bindAll([\"_onWheel\",\"_onTimeout\",\"_onScrollFrame\",\"_onScrollFinished\"],this)};li.prototype.setZoomRate=function(t){this._defaultZoomRate=t},li.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},li.prototype.isEnabled=function(){return!!this._enabled},li.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},li.prototype.isZooming=function(){return!!this._zooming},li.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},li.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},li.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%4.000244140625==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()}},li.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},li.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())}},li.prototype.renderFrame=function(){return this._onScrollFrame()},li.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)>4.000244140625?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a=\"number\"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),\"wheel\"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s=\"number\"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,c=this._easing,u=!1;if(\"wheel\"===this._type&&l&&c){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=c(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):u=!0}else o=s,u=!0;return this._active=!0,u&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!u,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},li.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},li.prototype.reset=function(){this._active=!1};var ci=function(t,e){this._clickZoom=t,this._tapZoom=e};ci.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},ci.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},ci.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},ci.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var ui=function(){this.reset()};ui.prototype.reset=function(){this._active=!1},ui.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})}}},ui.prototype.enable=function(){this._enabled=!0},ui.prototype.disable=function(){this._enabled=!1,this.reset()},ui.prototype.isEnabled=function(){return this._enabled},ui.prototype.isActive=function(){return this._active};var fi=function(){this._tap=new qn({numTouches:1,numTaps:1}),this.reset()};fi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},fi.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))},fi.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)},fi.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)},fi.prototype.touchcancel=function(){this.reset()},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 hi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};hi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},hi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},hi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},hi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var pi=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};pi.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},pi.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},pi.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},pi.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var di=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};di.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\")},di.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},di.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},di.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},di.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},di.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var mi=function(t){return t.zoom||t.drag||t.pitch||t.rotate},gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function vi(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var yi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new On(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],c=s[1],u=s[2];r.addEventListener(l,c,l===t.window.document?this.handleWindowEvent:this.handleEvent,u)}};yi.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)}},yi.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add(\"mapEvent\",new Nn(e,t));var n=e.boxZoom=new Un(e,t);this._add(\"boxZoom\",n);var i=new Gn,a=new ui;e.doubleClickZoom=new ci(a,i),this._add(\"tapZoom\",i),this._add(\"clickZoom\",a);var o=new fi;this._add(\"tapDragZoom\",o);var s=e.touchPitch=new ii;this._add(\"touchPitch\",s);var l=new Xn(t),c=new Zn(t);e.dragRotate=new pi(t,l,c),this._add(\"mouseRotate\",l,[\"mousePitch\"]),this._add(\"mousePitch\",c,[\"mouseRotate\"]);var u=new Wn(t),f=new Jn(t);e.dragPan=new hi(r,u,f),this._add(\"mousePan\",u),this._add(\"touchPan\",f,[\"touchZoom\",\"touchRotate\"]);var h=new ri,p=new ti;e.touchZoomRotate=new di(r,p,h,o),this._add(\"touchRotate\",h,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",p,[\"touchPan\",\"touchRotate\"]);var d=e.scrollZoom=new li(e,this);this._add(\"scrollZoom\",d,[\"mousePan\"]);var m=e.keyboard=new oi;this._add(\"keyboard\",m),this._add(\"blockableMapEvent\",new jn(e));for(var g=0,v=[\"boxZoom\",\"doubleClickZoom\",\"tapDragZoom\",\"touchPitch\",\"dragRotate\",\"dragPan\",\"touchZoomRotate\",\"scrollZoom\",\"keyboard\"];g<v.length;g+=1){var y=v[g];t.interactive&&t[y]&&e[y].enable(t[y])}},yi.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},yi.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=[]}},yi.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1){if(e[t].handler.isActive())return!0}return!1},yi.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},yi.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},yi.prototype.isMoving=function(){return Boolean(mi(this._eventsInProgress))||this.isZooming()},yi.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},yi.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+\"Window\")},yi.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},yi.prototype.handleEvent=function(t,e){if(\"blur\"!==t.type){this._updatingCamera=!0;for(var n=\"renderFrame\"===t.type?void 0:t,i={needsRenderFrame:!1},a={},o={},s=t.touches?this._getMapTouches(t.touches):void 0,l=s?r.touchPos(this._el,s):r.mousePos(this._el,t),c=0,u=this._handlers;c<u.length;c+=1){var f=u[c],h=f.handlerName,p=f.handler,d=f.allowed;if(p.isEnabled()){var m=void 0;this._blockedByActive(o,d,h)?p.reset():p[e||t.type]&&(m=p[e||t.type](t,l,s),this.mergeHandlerResult(i,a,m,h,n),m&&m.needsRenderFrame&&this._triggerRenderFrame()),(m||p.isActive())&&(o[h]=p)}}var g={};for(var v in this._previousActiveHandlers)o[v]||(g[v]=n);this._previousActiveHandlers=o,(Object.keys(g).length||vi(i))&&(this._changes.push([i,a,g]),this._triggerRenderFrame()),(Object.keys(o).length||vi(i))&&this._map._stop(!0),this._updatingCamera=!1;var y=i.cameraAnimation;y&&(this._inertia.clear(),this._fireEvents({},{}),this._changes=[],y(this._map))}else this.stop()},yi.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)}},yi.prototype._applyChanges=function(){for(var e={},r={},n={},i=0,a=this._changes;i<a.length;i+=1){var o=a[i],s=o[0],l=o[1],c=o[2];s.panDelta&&(e.panDelta=(e.panDelta||new t.Point(0,0))._add(s.panDelta)),s.zoomDelta&&(e.zoomDelta=(e.zoomDelta||0)+s.zoomDelta),s.bearingDelta&&(e.bearingDelta=(e.bearingDelta||0)+s.bearingDelta),s.pitchDelta&&(e.pitchDelta=(e.pitchDelta||0)+s.pitchDelta),void 0!==s.around&&(e.around=s.around),void 0!==s.pinchAround&&(e.pinchAround=s.pinchAround),s.noInertia&&(e.noInertia=s.noInertia),t.extend(r,l),t.extend(n,c)}this._updateMapTransform(e,r,n),this._changes=[]},yi.prototype._updateMapTransform=function(t,e,r){var n=this._map,i=n.transform;if(!vi(t))return this._fireEvents(e,r);var a=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,c=t.around,u=t.pinchAround;void 0!==u&&(c=u),n._stop(!0),c=c||n.transform.centerPoint;var f=i.pointLocation(a?c.sub(a):c);s&&(i.bearing+=s),l&&(i.pitch+=l),o&&(i.zoom+=o),i.setLocationAtPoint(f,c),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r)},yi.prototype._fireEvents=function(e,r){var n=this,i=mi(this._eventsInProgress),a=mi(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 c in!i&&a&&this._fireEvent(\"movestart\",a.originalEvent),o)this._fireEvent(c,o[c]);for(var u in e.rotate&&(this._bearingChanged=!0),a&&this._fireEvent(\"move\",a.originalEvent),e){var f=e[u].originalEvent;this._fireEvent(u,f)}var h,p={};for(var d in this._eventsInProgress){var m=this._eventsInProgress[d],g=m.handlerName,v=m.originalEvent;this._handlersById[g].isActive()||(delete this._eventsInProgress[d],h=r[g]||v,p[d+\"end\"]=h)}for(var y in p)this._fireEvent(y,p[y]);var x=mi(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}},yi.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},yi.prototype._triggerRenderFrame=function(){var t=this;void 0===this._frameId&&(this._frameId=this._map._requestRenderFrame((function(e){delete t._frameId,t.handleEvent(new gi(\"renderFrame\",{timeStamp:e})),t._applyChanges()})))};var xi=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,c=s.project(t.LngLat.convert(e)),u=s.project(t.LngLat.convert(r)),f=c.rotate(-n*Math.PI/180),h=u.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)),m=p.sub(d),g=(s.width-(l.left+l.right+i.padding.left+i.padding.right))/m.x,v=(s.height-(l.top+l.bottom+i.padding.top+i.padding.bottom))/m.y;if(!(v<0||g<0)){var y=Math.min(s.scaleZoom(s.scale*Math.min(g,v)),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(y));return{center:s.unproject(c.add(u).div(2).sub(w)),zoom:y,bearing:n}}t.warnOnce(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,i,a){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,i),i,a)},r.prototype._fitInternal=function(e,r,n){return e?(delete(r=t.extend(e,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,i=!1,a=!1,o=!1;return\"zoom\"in e&&n.zoom!==+e.zoom&&(i=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),\"bearing\"in e&&n.bearing!==+e.bearing&&(a=!0,n.bearing=+e.bearing),\"pitch\"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),null==e.padding||n.isPaddingEqual(e.padding)||(n.padding=e.padding),this.fire(new t.Event(\"movestart\",r)).fire(new t.Event(\"move\",r)),i&&this.fire(new t.Event(\"zoomstart\",r)).fire(new t.Event(\"zoom\",r)).fire(new t.Event(\"zoomend\",r)),a&&this.fire(new t.Event(\"rotatestart\",r)).fire(new t.Event(\"rotate\",r)).fire(new t.Event(\"rotateend\",r)),o&&this.fire(new t.Event(\"pitchstart\",r)).fire(new t.Event(\"pitch\",r)).fire(new t.Event(\"pitchend\",r)),this.fire(new t.Event(\"moveend\",r))},r.prototype.easeTo=function(e,r){var n=this;this._stop(!1,e.easeId),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||!e.essential&&t.browser.prefersReducedMotion)&&(e.duration=0);var i=this.transform,a=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=this.getPadding(),c=\"zoom\"in e?+e.zoom:a,u=\"bearing\"in e?this._normalizeBearing(e.bearing,o):o,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),m=i.pointLocation(d),g=t.LngLat.convert(e.center||m);this._normalizeCenter(g);var v,y,x=i.project(m),b=i.project(g).sub(x),_=i.zoomScale(c-a);e.around&&(v=t.LngLat.convert(e.around),y=i.locationPoint(v));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||c!==a,this._rotating=this._rotating||o!==u,this._pitching=this._pitching||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,c,e)),n._rotating&&(i.bearing=t.number(o,u,e)),n._pitching&&(i.pitch=t.number(s,f,e)),n._padding&&(i.interpolatePadding(l,h,e),d=i.centerPoint.add(p)),v)i.setLocationAtPoint(v,y);else{var m=i.zoomScale(i.zoom-a),g=c>a?Math.min(2,_):Math.max(.5,_),w=Math.pow(g,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(m));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event(\"movestart\",e)),this._zooming&&!n.zooming&&this.fire(new t.Event(\"zoomstart\",e)),this._rotating&&!n.rotating&&this.fire(new t.Event(\"rotatestart\",e)),this._pitching&&!n.pitching&&this.fire(new t.Event(\"pitchstart\",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event(\"move\",e)),this._zooming&&this.fire(new t.Event(\"zoom\",e)),this._rotating&&this.fire(new t.Event(\"rotate\",e)),this._pitching&&this.fire(new t.Event(\"pitch\",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event(\"zoomend\",e)),i&&this.fire(new t.Event(\"rotateend\",e)),a&&this.fire(new t.Event(\"pitchend\",e)),this.fire(new t.Event(\"moveend\",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),c=this.getPadding(),u=\"zoom\"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,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(u-o),m=t.Point.convert(e.offset),g=a.centerPoint.add(m),v=a.pointLocation(g),y=t.LngLat.convert(e.center||v);this._normalizeCenter(y);var x=a.project(v),b=a.project(y).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,u),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),I=function(t){return C(P)/C(P+_*t)},O=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/k;var e},z=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(z)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var D=T<w?-1:1;z=Math.abs(Math.log(T/w))/_,O=function(){return 0},I=function(t){return Math.exp(D*_*t)}}if(\"duration\"in e)e.duration=+e.duration;else{var R=\"screenSpeed\"in e?+e.screenSpeed/_:+e.speed;e.duration=1e3*z/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*z,d=1/I(i);a.zoom=1===e?u: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(c,p,e),g=a.centerPoint.add(m));var v=1===e?y:a.unproject(x.add(b.mult(O(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?v.wrap():v,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),bi=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};bi.prototype.getDefaultPosition=function(){return\"bottom-right\"},bi.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},bi.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},bi.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\"}},bi.prototype._updateData=function(t){!t||\"metadata\"!==t.sourceDataType&&\"style\"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},bi.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)}},bi.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\")};var _i=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};_i.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},_i.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},_i.prototype.getDefaultPosition=function(){return\"bottom-left\"},_i.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},_i.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}},_i.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 wi=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};wi.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},wi.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)}},wi.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},wi.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Ti={\"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\"},ki=t.window.HTMLImageElement,Ai=t.window.HTMLElement,Mi=t.window.ImageBitmap,Si={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:60,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},Ei=function(n){function i(e){var r=this;if(null!=(e=t.extend({},Si,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>60)throw new Error(\"maxPitch must be less than or equal to 60\");var i=new An(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 wi,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Ti,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 Ai))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 yi(this,e);var a=\"string\"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new Sn(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 bi({customAttribution:e.customAttribution})),this.addControl(new _i,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?60:t)>60)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 Rn(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 Rn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Rn(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 qe(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 qe(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 ki||Mi&&r instanceof Mi){var c=t.browser.getImageData(r),u=c.width,f=c.height,h=c.data;this.style.addImage(e,{data:new t.RGBAImage({width:u,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,m=r.data,g=r;this.style.addImage(e,{data:new t.RGBAImage({width:p,height:d},new Uint8Array(m)),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0,userImage:g}),g.onAdd&&g.onAdd(this,e)}},i.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));var i=r instanceof ki||Mi&&r instanceof Mi?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 ki||Mi&&r instanceof Mi);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 _n(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 c=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),u=c.crossFadingFactor();1===u&&u===this._crossFadingFactor||(o=!0,this._crossFadingFactor=u),this.style.update(c)}if(this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration,showPadding:this.showPadding,gpuTiming:!!this.listens(\"gpu-timing-layer\")}),this.fire(new t.Event(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event(\"load\"))),this.style&&(this.style.hasTransitions()||o)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens(\"gpu-timing-frame\")){var 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(),Li(this._canvasContainer),Li(this._controlContainer),Li(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}(xi);function Li(t){t.parentNode&&t.parentNode.removeChild(t)}var Ci={showCompass:!0,showZoom:!0,visualizePitch:!1},Pi=function(e){var n=this;this.options=t.extend({},Ci,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))};Pi.prototype._updateZoomButtons=function(){var t=this._map.getZoom();this._zoomInButton.disabled=t===this._map.getMaxZoom(),this._zoomOutButton.disabled=t===this._map.getMinZoom()},Pi.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},Pi.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 Ii(this._map,this._compass,this.options.visualizePitch)),this._container},Pi.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},Pi.prototype._createButton=function(t,e){var n=r.create(\"button\",t,this._container);return n.type=\"button\",n.addEventListener(\"click\",e),n},Pi.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString(\"NavigationControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)};var Ii=function(e,n,i){void 0===i&&(i=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new Xn({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,i&&(this.mousePitch=new Zn({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 Oi(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}Ii.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ii.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)}},Ii.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()},Ii.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\"mousemove\",this.mousemove),r.removeEventListener(t.window,\"mouseup\",this.mouseup)},Ii.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)},Ii.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ii.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ii.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))},Ii.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))},Ii.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ii.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var zi={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 Di(t,e,r){var n=t.classList;for(var i in zi)n.remove(\"mapboxgl-\"+r+\"-anchor-\"+i);n.add(\"mapboxgl-\"+r+\"-anchor-\"+e)}var Ri,Fi=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 c=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");c.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),c.setAttributeNS(null,\"fill\",\"#000000\");for(var u=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\"}];u<f.length;u+=1){var h=f[u],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),c.appendChild(p)}var d=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");d.setAttributeNS(null,\"fill\",this._color);var m=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");m.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(m);var g=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");g.setAttributeNS(null,\"opacity\",\"0.25\"),g.setAttributeNS(null,\"fill\",\"#000000\");var v=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");v.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(v);var y=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");y.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),y.setAttributeNS(null,\"fill\",\"#FFFFFF\");var 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(c),l.appendChild(d),l.appendChild(g),l.appendChild(y),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})),Di(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=Math.sqrt(Math.pow(13.5,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-38.1],\"bottom-left\":[e,-1*(24.6+e)],\"bottom-right\":[-e,-1*(24.6+e)],left:[13.5,-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=Oi(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,zi[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),Bi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Ni=0,ji=!1,Ui=function(e){function n(r){e.call(this),this.options=t.extend({},Bi,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){var n;return this._map=e,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),n=this._setupUI,void 0!==Ri?n(Ri):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:\"geolocation\"}).then((function(t){Ri=\"denied\"!==t.state,n(Ri)})):(Ri=!!t.window.navigator.geolocation,n(Ri)),this._container},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,Ni=0,ji=!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&&ji)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 Fi(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Fi({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\":Ni--,ji=!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\"),++Ni>1?(e={maximumAge:6e5,timeout:0},ji=!0):(e=this.options.positionOptions,ji=!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),Vi={maxWidth:100,unit:\"metric\"},Hi=function(e){this.options=t.extend({},Vi,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function qi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&\"imperial\"===r.unit){var l=3.2808*s;if(l>5280)Gi(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\"));else Gi(e,n,l,t._getUIString(\"ScaleControl.Feet\"))}else if(r&&\"nautical\"===r.unit){Gi(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\"))}else s>=1e3?Gi(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):Gi(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function Gi(t,e,r,n){var i,a,o,s=(i=r,a=Math.pow(10,(\"\"+Math.floor(i)).length-1),o=(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),a*o),l=s/r;t.style.width=e*l+\"px\",t.innerHTML=s+\"&nbsp;\"+n}Hi.prototype.getDefaultPosition=function(){return\"bottom-left\"},Hi.prototype._onMove=function(){qi(this._map,this._container,this.options)},Hi.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},Hi.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},Hi.prototype.setUnit=function(t){this.options.unit=t,qi(this._map,this._container,this.options)};var Yi=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\")};Yi.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},Yi.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},Yi.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},Yi.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)},Yi.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},Yi.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},Yi.prototype._isFullscreen=function(){return this._fullscreen},Yi.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())},Yi.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 Wi={closeButton:!0,closeOnClick:!0,className:\"\",maxWidth:\"240px\"},Xi=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(Wi),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(e){var n=this,i=this._lngLat||this._trackPointer;if(this._map&&i&&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 n._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=Oi(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||e)){var a=this._pos=this._trackPointer&&e?e:this._map.project(this._lngLat),o=this.options.anchor,s=function e(r){if(r){if(\"number\"==typeof r){var n=Math.round(Math.sqrt(.5*Math.pow(r,2)));return{center:new t.Point(0,0),top:new t.Point(0,r),\"top-left\":new t.Point(n,n),\"top-right\":new t.Point(-n,n),bottom:new t.Point(0,-r),\"bottom-left\":new t.Point(n,-n),\"bottom-right\":new t.Point(-n,-n),left:new t.Point(r,0),right:new t.Point(-r,0)}}if(r instanceof t.Point||Array.isArray(r)){var i=t.Point.convert(r);return{center:i,top:i,\"top-left\":i,\"top-right\":i,bottom:i,\"bottom-left\":i,\"bottom-right\":i,left:i,right:i}}return{center:t.Point.convert(r.center||[0,0]),top:t.Point.convert(r.top||[0,0]),\"top-left\":t.Point.convert(r[\"top-left\"]||[0,0]),\"top-right\":t.Point.convert(r[\"top-right\"]||[0,0]),bottom:t.Point.convert(r.bottom||[0,0]),\"bottom-left\":t.Point.convert(r[\"bottom-left\"]||[0,0]),\"bottom-right\":t.Point.convert(r[\"bottom-right\"]||[0,0]),left:t.Point.convert(r.left||[0,0]),right:t.Point.convert(r.right||[0,0])}}return e(new t.Point(0,0))}(this.options.offset);if(!o){var l,c=this._container.offsetWidth,u=this._container.offsetHeight;l=a.y+s.bottom.y<u?[\"top\"]:a.y>this._map.transform.height-u?[\"bottom\"]:[],a.x<c/2?l.push(\"left\"):a.x>this._map.transform.width-c/2&&l.push(\"right\"),o=0===l.length?\"bottom\":l.join(\"-\")}var f=a.add(s[o]).round();r.setTransform(this._container,zi[o]+\" translate(\"+f.x+\"px,\"+f.y+\"px)\"),Di(this._container,o,\"popup\")}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);var Zi={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Ei,NavigationControl:Pi,GeolocateControl:Ui,AttributionControl:bi,ScaleControl:Hi,FullscreenControl:Yi,Popup:Xi,Marker:Fi,Style:qe,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){Bt().acquire(zt)},clearPrewarmedResources:function(){var t=Rt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(zt),Rt=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()\"))},get accessToken(){return t.config.ACCESS_TOKEN},set accessToken(e){t.config.ACCESS_TOKEN=e},get baseApiUrl(){return t.config.API_URL},set baseApiUrl(e){t.config.API_URL=e},get workerCount(){return Dt.workerCount},set workerCount(t){Dt.workerCount=t},get maxParallelImageRequests(){return t.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(e){t.config.MAX_PARALLEL_IMAGE_REQUESTS=e},clearStorage:function(e){t.clearTileCache(e)},workerUrl:\"\"};return Zi})),r}))},{}],240:[function(t,e,r){\"use strict\";e.exports=Math.log2||function(t){return Math.log(t)*Math.LOG2E}},{}],241:[function(t,e,r){\"use strict\";e.exports=function(t,e){e||(e=t,t=window);var r=0,i=0,a=0,o={shift:!1,alt:!1,control:!1,meta:!1},s=!1;function l(t){var e=!1;return\"altKey\"in t&&(e=e||t.altKey!==o.alt,o.alt=!!t.altKey),\"shiftKey\"in t&&(e=e||t.shiftKey!==o.shift,o.shift=!!t.shiftKey),\"ctrlKey\"in t&&(e=e||t.ctrlKey!==o.control,o.control=!!t.ctrlKey),\"metaKey\"in t&&(e=e||t.metaKey!==o.meta,o.meta=!!t.metaKey),e}function c(t,s){var c=n.x(s),u=n.y(s);\"buttons\"in s&&(t=0|s.buttons),(t!==r||c!==i||u!==a||l(s))&&(r=0|t,i=c||0,a=u||0,e&&e(r,i,a,o))}function u(t){c(0,t)}function f(){(r||i||a||o.shift||o.alt||o.meta||o.control)&&(i=a=0,r=0,o.shift=o.alt=o.control=o.meta=!1,e&&e(0,0,0,o))}function h(t){l(t)&&e&&e(r,i,a,o)}function p(t){0===n.buttons(t)?c(0,t):c(r,t)}function d(t){c(r|n.buttons(t),t)}function m(t){c(r&~n.buttons(t),t)}function g(){s||(s=!0,t.addEventListener(\"mousemove\",p),t.addEventListener(\"mousedown\",d),t.addEventListener(\"mouseup\",m),t.addEventListener(\"mouseleave\",u),t.addEventListener(\"mouseenter\",u),t.addEventListener(\"mouseout\",u),t.addEventListener(\"mouseover\",u),t.addEventListener(\"blur\",f),t.addEventListener(\"keyup\",h),t.addEventListener(\"keydown\",h),t.addEventListener(\"keypress\",h),t!==window&&(window.addEventListener(\"blur\",f),window.addEventListener(\"keyup\",h),window.addEventListener(\"keydown\",h),window.addEventListener(\"keypress\",h)))}g();var v={element:t};return Object.defineProperties(v,{enabled:{get:function(){return s},set:function(e){e?g():function(){if(!s)return;s=!1,t.removeEventListener(\"mousemove\",p),t.removeEventListener(\"mousedown\",d),t.removeEventListener(\"mouseup\",m),t.removeEventListener(\"mouseleave\",u),t.removeEventListener(\"mouseenter\",u),t.removeEventListener(\"mouseout\",u),t.removeEventListener(\"mouseover\",u),t.removeEventListener(\"blur\",f),t.removeEventListener(\"keyup\",h),t.removeEventListener(\"keydown\",h),t.removeEventListener(\"keypress\",h),t!==window&&(window.removeEventListener(\"blur\",f),window.removeEventListener(\"keyup\",h),window.removeEventListener(\"keydown\",h),window.removeEventListener(\"keypress\",h))}()},enumerable:!0},buttons:{get:function(){return r},enumerable:!0},x:{get:function(){return i},enumerable:!0},y:{get:function(){return a},enumerable:!0},mods:{get:function(){return o},enumerable:!0}}),v};var n=t(\"mouse-event\")},{\"mouse-event\":243}],242:[function(t,e,r){var n={left:0,top:0};e.exports=function(t,e,r){e=e||t.currentTarget||t.srcElement,Array.isArray(r)||(r=[0,0]);var i=t.clientX||0,a=t.clientY||0,o=(s=e,s===window||s===document||s===document.body?n:s.getBoundingClientRect());var s;return r[0]=i-o.left,r[1]=a-o.top,r}},{}],243:[function(t,e,r){\"use strict\";function n(t){return t.target||t.srcElement||window}r.buttons=function(t){if(\"object\"==typeof t){if(\"buttons\"in t)return t.buttons;if(\"which\"in t){if(2===(e=t.which))return 4;if(3===e)return 2;if(e>0)return 1<<e-1}else if(\"button\"in t){var e;if(1===(e=t.button))return 4;if(2===e)return 2;if(e>=0)return 1<<e}}return 0},r.element=n,r.x=function(t){if(\"object\"==typeof t){if(\"offsetX\"in t)return t.offsetX;var e=n(t).getBoundingClientRect();return t.clientX-e.left}return 0},r.y=function(t){if(\"object\"==typeof t){if(\"offsetY\"in t)return t.offsetY;var e=n(t).getBoundingClientRect();return t.clientY-e.top}return 0}},{}],244:[function(t,e,r){\"use strict\";var n=t(\"to-px\");e.exports=function(t,e,r){\"function\"==typeof t&&(r=!!e,e=t,t=window);var i=n(\"ex\",t),a=function(t){r&&t.preventDefault();var n=t.deltaX||0,a=t.deltaY||0,o=t.deltaZ||0,s=1;switch(t.deltaMode){case 1:s=i;break;case 2:s=window.innerHeight}if(a*=s,o*=s,(n*=s)||a||o)return e(n,a,o,t)};return t.addEventListener(\"wheel\",a),a}},{\"to-px\":314}],245:[function(t,e,r){(function(t,r){(function(){\n",
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       "/*\n",
       " * @copyright 2016 Sean Connelly (@voidqk), http://syntheti.cc\n",
       " * @license MIT\n",
       " * @preserve Project Home: https://github.com/voidqk/polybooljs\n",
       " */\n",
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r=0,n=t[t.length-1][0],i=t[t.length-1][1],a=[],o=0;o<t.length;o++){var s=t[o][0],l=t[o][1];a.push([s,l]),r+=l*n-s*i,n=s,i=l}return r<0!==e&&a.reverse(),a.push([a[0][0],a[0][1]]),a}var u=[];function f(t){var e=[c(t.region,!1)];u.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 c(t.region,!0)}for(s=0;s<a.children.length;s++)f(a.children[s]);return u.length<=0?{type:\"Polygon\",coordinates:[]}:1==u.length?{type:\"Polygon\",coordinates:u[0]}:{type:\"MultiPolygon\",coordinates:u}}};e.exports=n},{}],258:[function(t,e,r){var n=t(\"./linked-list\");e.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 function(t,r,n,i,a,o){var s=e.pointsCompare(r,a);return 0!==s?s:e.pointsSame(n,o)?0:t!==i?t?1:-1:e.pointAboveOrOnLine(n,i?a:o,i?o:a)?1:-1}(t.isStart,t.pt,r,n.isStart,n.pt,n.other.pt)<0}))}function s(t,e){var r=function(t,e){var r=n.node({isStart:!0,pt:t.start,seg:t,primary:e,other:null,status:null});return o(r,t.end),r}(t,e);return function(t,e,r){var i=n.node({isStart:!1,pt:e.end,seg:e,primary:r,other:t,status:null});t.other=i,o(i,t.pt)}(r,t,e),r}function l(t,e){var n=i(e,t.seg.end,t.seg);return function(t,e){r&&r.segmentChop(t.seg,e),t.other.remove(),t.seg.end=e,t.other.pt=e,o(t.other,t.pt)}(t,e),s(n,t.primary)}function c(i,o){var s=n.create();function c(t){return s.findTransition((function(r){var n,i,a,o,s,l;return(n=t,i=r.ev,a=n.seg.start,o=n.seg.end,s=i.seg.start,l=i.seg.end,e.pointsCollinear(a,s,l)?e.pointsCollinear(o,s,l)||e.pointAboveOrOnLine(o,s,l)?1:-1:e.pointAboveOrOnLine(a,s,l)?1:-1)>0}))}function u(t,n){var i=t.seg,a=n.seg,o=i.start,s=i.end,c=a.start,u=a.end;r&&r.checkIntersection(i,a);var f=e.linesIntersect(o,s,c,u);if(!1===f){if(!e.pointsCollinear(o,s,c))return!1;if(e.pointsSame(o,u)||e.pointsSame(s,c))return!1;var h=e.pointsSame(o,c),p=e.pointsSame(s,u);if(h&&p)return n;var d=!h&&e.pointBetween(o,c,u),m=!p&&e.pointBetween(s,c,u);if(h)return m?l(n,s):l(t,u),n;d&&(p||(m?l(n,s):l(t,u)),l(n,o))}else 0===f.alongA&&(-1===f.alongB?l(t,c):0===f.alongB?l(t,f.pt):1===f.alongB&&l(t,u)),0===f.alongB&&(-1===f.alongA?l(n,o):0===f.alongA?l(n,f.pt):1===f.alongA&&l(n,s));return!1}for(var f=[];!a.isEmpty();){var h=a.getHead();if(r&&r.vert(h.pt[0]),h.isStart){r&&r.segmentNew(h.seg,h.primary);var p=c(h),d=p.before?p.before.ev:null,m=p.after?p.after.ev:null;function g(){if(d){var t=u(h,d);if(t)return t}return!!m&&u(h,m)}r&&r.tempStatus(h.seg,!!d&&d.seg,!!m&&m.seg);var v,y=g();if(y){var x;if(t)(x=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below)&&(y.seg.myFill.above=!y.seg.myFill.above);else y.seg.otherFill=h.seg.myFill;r&&r.segmentUpdate(y.seg),h.other.remove(),h.remove()}if(a.getHead()!==h){r&&r.rewind(h.seg);continue}if(t)x=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below,h.seg.myFill.below=m?m.seg.myFill.above:i,h.seg.myFill.above=x?!h.seg.myFill.below:h.seg.myFill.below;else if(null===h.seg.otherFill)v=m?h.primary===m.primary?m.seg.otherFill.above:m.seg.myFill.above:h.primary?o:i,h.seg.otherFill={above:v,below:v};r&&r.status(h.seg,!!d&&d.seg,!!m&&m.seg),h.other.status=p.insert(n.node({ev:h}))}else{var b=h.status;if(null===b)throw new Error(\"PolyBool: Zero-length segment detected; your epsilon is probably too small or too large\");if(s.exists(b.prev)&&s.exists(b.next)&&u(b.prev.ev,b.next.ev),r&&r.statusRemove(b.ev.seg),b.remove(),!h.primary){var _=h.seg.myFill;h.seg.myFill=h.seg.otherFill,h.seg.otherFill=_}f.push(h.seg)}a.getHead().remove()}return r&&r.done(),f}return t?{addRegion:function(t){for(var n,i,a,o=t[t.length-1],l=0;l<t.length;l++){n=o,o=t[l];var c=e.pointsCompare(n,o);0!==c&&s((i=c<0?n:o,a=c<0?o:n,{id:r?r.segmentId():-1,start:i,end:a,myFill:{above:null,below:null},otherFill:null}),!0)}},calculate:function(t){return c(t,!1)}}:{calculate:function(t,e,r,n){return t.forEach((function(t){s(i(t.start,t.end,t),!0)})),r.forEach((function(t){s(i(t.start,t.end,t),!1)})),c(e,n)}}}},{\"./linked-list\":259}],259:[function(t,e,r){e.exports={create:function(){var t={root:{root:!0,next:null},exists:function(e){return null!==e&&e!==t.root},isEmpty:function(){return null===t.root.next},getHead:function(){return t.root.next},insertBefore:function(e,r){for(var n=t.root,i=t.root.next;null!==i;){if(r(i))return e.prev=i.prev,e.next=i,i.prev.next=e,void(i.prev=e);n=i,i=i.next}n.next=e,e.prev=n,e.next=null},findTransition:function(e){for(var r=t.root,n=t.root.next;null!==n&&!e(n);)r=n,n=n.next;return{before:r===t.root?null:r,after:n,insert:function(t){return t.prev=r,t.next=n,r.next=t,null!==n&&(n.prev=t),t}}}};return t},node:function(t){return t.prev=null,t.next=null,t.remove=function(){t.prev.next=t.next,t.next&&(t.next.prev=t.prev),t.prev=null,t.next=null},t}}},{}],260:[function(t,e,r){e.exports=function(t,e,r){var n=[],i=[];return t.forEach((function(t){var a=t.start,o=t.end;if(e.pointsSame(a,o))console.warn(\"PolyBool: Warning: Zero-length segment detected; your epsilon is probably too small or too large\");else{r&&r.chainStart(t);for(var s={index:0,matches_head:!1,matches_pt1:!1},l={index:0,matches_head:!1,matches_pt1:!1},c=s,u=0;u<n.length;u++){var f=(g=n[u])[0],h=(g[1],g[g.length-1]);g[g.length-2];if(e.pointsSame(f,a)){if(k(u,!0,!0))break}else if(e.pointsSame(f,o)){if(k(u,!0,!1))break}else if(e.pointsSame(h,a)){if(k(u,!1,!0))break}else if(e.pointsSame(h,o)&&k(u,!1,!1))break}if(c===s)return n.push([a,o]),void(r&&r.chainNew(a,o));if(c===l){r&&r.chainMatch(s.index);var p=s.index,d=s.matches_pt1?o:a,m=s.matches_head,g=n[p],v=m?g[0]:g[g.length-1],y=m?g[1]:g[g.length-2],x=m?g[g.length-1]:g[0],b=m?g[g.length-2]:g[1];return e.pointsCollinear(y,v,d)&&(m?(r&&r.chainRemoveHead(s.index,d),g.shift()):(r&&r.chainRemoveTail(s.index,d),g.pop()),v=y),e.pointsSame(x,d)?(n.splice(p,1),e.pointsCollinear(b,x,v)&&(m?(r&&r.chainRemoveTail(s.index,v),g.pop()):(r&&r.chainRemoveHead(s.index,v),g.shift())),r&&r.chainClose(s.index),void i.push(g)):void(m?(r&&r.chainAddHead(s.index,d),g.unshift(d)):(r&&r.chainAddTail(s.index,d),g.push(d)))}var _=s.index,w=l.index;r&&r.chainConnect(_,w);var T=n[_].length<n[w].length;s.matches_head?l.matches_head?T?(A(_),M(_,w)):(A(w),M(w,_)):M(w,_):l.matches_head?M(_,w):T?(A(_),M(w,_)):(A(w),M(_,w))}function k(t,e,r){return c.index=t,c.matches_head=e,c.matches_pt1=r,c===s?(c=l,!1):(c=null,!0)}function A(t){r&&r.chainReverse(t),n[t].reverse()}function M(t,i){var a=n[t],o=n[i],s=a[a.length-1],l=a[a.length-2],c=o[0],u=o[1];e.pointsCollinear(l,s,c)&&(r&&r.chainRemoveTail(t,s),a.pop(),s=l),e.pointsCollinear(s,c,u)&&(r&&r.chainRemoveHead(i,c),o.shift()),r&&r.chainJoin(t,i),n[t]=a.concat(o),n.splice(i,1)}})),i}},{}],261:[function(t,e,r){function n(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 i={union:function(t,e){return n(t,[0,2,1,0,2,2,0,0,1,0,1,0,0,0,0,0],e)},intersect:function(t,e){return n(t,[0,0,0,0,0,2,0,2,0,0,1,1,0,2,1,0],e)},difference:function(t,e){return n(t,[0,0,0,0,2,0,2,0,1,1,0,0,0,1,2,0],e)},differenceRev:function(t,e){return n(t,[0,2,1,0,0,0,1,1,0,2,0,2,0,0,0,0],e)},xor:function(t,e){return n(t,[0,2,1,0,2,0,0,1,1,0,0,2,0,1,2,0],e)}};e.exports=i},{}],262:[function(t,e,r){\"use strict\";var n=t(\"stream\").Transform,i=t(\"stream-parser\");function a(){n.call(this,{readableObjectMode:!0})}function o(t,e,r){Error.call(this),Error.captureStackTrace?Error.captureStackTrace(this,this.constructor):this.stack=(new Error).stack||\"\",this.name=this.constructor.name,this.message=t,e&&(this.code=e),r&&(this.statusCode=r)}a.prototype=Object.create(n.prototype),a.prototype.constructor=a,i(a.prototype),r.ParserStream=a,r.sliceEq=function(t,e,r){for(var n=e,i=0;i<r.length;)if(t[n++]!==r[i++])return!1;return!0},r.str2arr=function(t,e){var r=[],n=0;if(e&&\"hex\"===e)for(;n<t.length;)r.push(parseInt(t.slice(n,n+2),16)),n+=2;else for(;n<t.length;n++)r.push(255&t.charCodeAt(n));return r},r.readUInt16LE=function(t,e){return t[e]|t[e+1]<<8},r.readUInt16BE=function(t,e){return t[e+1]|t[e]<<8},r.readUInt32LE=function(t,e){return t[e]|t[e+1]<<8|t[e+2]<<16|16777216*t[e+3]},r.readUInt32BE=function(t,e){return t[e+3]|t[e+2]<<8|t[e+1]<<16|16777216*t[e]},o.prototype=Object.create(Error.prototype),o.prototype.constructor=o,r.ProbeError=o},{stream:285,\"stream-parser\":301}],263:[function(t,e,r){\"use strict\";function n(t,e){var r=new Error(t);return r.code=e,r}function i(t){try{return decodeURIComponent(escape(t))}catch(e){return t}}function a(t,e,r){this.input=t.subarray(e,r),this.start=e;var i=String.fromCharCode.apply(null,this.input.subarray(0,4));if(\"II*\\0\"!==i&&\"MM\\0*\"!==i)throw n(\"invalid TIFF signature\",\"EBADDATA\");this.big_endian=\"M\"===i[0]}a.prototype.each=function(t){this.aborted=!1;var e=this.read_uint32(4);for(this.ifds_to_read=[{id:0,offset:e}];this.ifds_to_read.length>0&&!this.aborted;){var r=this.ifds_to_read.shift();r.offset&&this.scan_ifd(r.id,r.offset,t)}},a.prototype.read_uint16=function(t){var e=this.input;if(t+2>e.length)throw n(\"unexpected EOF\",\"EBADDATA\");return this.big_endian?256*e[t]+e[t+1]:e[t]+256*e[t+1]},a.prototype.read_uint32=function(t){var e=this.input;if(t+4>e.length)throw n(\"unexpected EOF\",\"EBADDATA\");return this.big_endian?16777216*e[t]+65536*e[t+1]+256*e[t+2]+e[t+3]:e[t]+256*e[t+1]+65536*e[t+2]+16777216*e[t+3]},a.prototype.is_subifd_link=function(t,e){return 0===t&&34665===e||0===t&&34853===e||34665===t&&40965===e},a.prototype.exif_format_length=function(t){switch(t){case 1:case 2:case 6:case 7:return 1;case 3:case 8:return 2;case 4:case 9:case 11:return 4;case 5:case 10:case 12:return 8;default:return 0}},a.prototype.exif_format_read=function(t,e){var r;switch(t){case 1:case 2:return r=this.input[e];case 6:return(r=this.input[e])|33554430*(128&r);case 3:return r=this.read_uint16(e);case 8:return(r=this.read_uint16(e))|131070*(32768&r);case 4:return r=this.read_uint32(e);case 9:return 0|(r=this.read_uint32(e));case 5:case 10:case 11:case 12:case 7:default:return null}},a.prototype.scan_ifd=function(t,e,r){var a=this.read_uint16(e);e+=2;for(var o=0;o<a;o++){var s=this.read_uint16(e),l=this.read_uint16(e+2),c=this.read_uint32(e+4),u=this.exif_format_length(l),f=c*u,h=f<=4?e+8:this.read_uint32(e+8),p=!1;if(h+f>this.input.length)throw n(\"unexpected EOF\",\"EBADDATA\");for(var d=[],m=h,g=0;g<c;g++,m+=u){var v=this.exif_format_read(l,m);if(null===v){d=null;break}d.push(v)}if(Array.isArray(d)&&2===l&&(d=i(String.fromCharCode.apply(null,d)))&&\"\\0\"===d[d.length-1]&&(d=d.slice(0,-1)),this.is_subifd_link(t,s)&&Array.isArray(d)&&Number.isInteger(d[0])&&d[0]>0&&(this.ifds_to_read.push({id:s,offset:d[0]}),p=!0),!1===r({is_big_endian:this.big_endian,ifd:t,tag:s,format:l,count:c,entry_offset:e+this.start,data_length:f,data_offset:h+this.start,value:d,is_subifd_link:p}))return void(this.aborted=!0);e+=12}0===t&&this.ifds_to_read.push({id:1,offset:this.read_uint32(e)})},e.exports.ExifParser=a,e.exports.get_orientation=function(t){var e=0;try{return new a(t,0,t.length).each((function(t){if(0===t.ifd&&274===t.tag&&Array.isArray(t.value))return e=t.value[0],!1})),e}catch(t){return-1}}},{}],264:[function(t,e,r){\"use strict\";var n=t(\"./common\").readUInt16BE,i=t(\"./common\").readUInt32BE;function a(t,e){if(t.length<4+e)return null;var r=i(t,e);return t.length<r+e||r<8?null:{boxtype:String.fromCharCode.apply(null,t.slice(e+4,e+8)),data:t.slice(e+8,e+r),end:e+r}}function o(t,e){for(var r=0;;){var n=a(t,r);if(!n)break;switch(n.boxtype){case\"ispe\":e.sizes.push({width:i(n.data,4),height:i(n.data,8)});break;case\"irot\":e.transforms.push({type:\"irot\",value:3&n.data[0]});break;case\"imir\":e.transforms.push({type:\"imir\",value:1&n.data[0]})}r=n.end}}function s(t,e,r){for(var n=0,i=0;i<r;i++)n=256*n+(t[e+i]||0);return n}function l(t,e){for(var r=t[4]>>4&15,i=15&t[4],a=t[5]>>4&15,o=n(t,6),l=8,c=0;c<o;c++){var u=n(t,l),f=n(t,l+=2),h=s(t,l+=2,a),p=n(t,l+=a);if(l+=2,0===f&&1===p){var d=s(t,l,r),m=s(t,l+r,i);e.item_loc[u]={length:m,offset:d+h}}l+=p*(r+i)}}function c(t,e){for(var r=n(t,4),i=6,o=0;o<r;o++){var s=a(t,i);if(!s)break;if(\"infe\"===s.boxtype){for(var l=n(s.data,4),c=\"\",u=8;u<s.data.length&&s.data[u];u++)c+=String.fromCharCode(s.data[u]);e.item_inf[c]=l}i=s.end}}function u(t,e){for(var r=0;;){var n=a(t,r);if(!n)break;\"ipco\"===n.boxtype&&o(n.data,e),r=n.end}}e.exports.unbox=a,e.exports.readSizeFromMeta=function(t){var e={sizes:[],transforms:[],item_inf:{},item_loc:{}};if(function(t,e){for(var r=4;;){var n=a(t,r);if(!n)break;\"iprp\"===n.boxtype&&u(n.data,e),\"iloc\"===n.boxtype&&l(n.data,e),\"iinf\"===n.boxtype&&c(n.data,e),r=n.end}}(t,e),e.sizes.length){var r,n,i,o=(r=e.sizes,n=r.reduce((function(t,e){return t.width>e.width||t.width===e.width&&t.height>e.height?t:e})),i=r.reduce((function(t,e){return t.height>e.height||t.height===e.height&&t.width>e.width?t:e})),n.width>i.height||n.width===i.height&&n.height>i.width?n:i),s=1;e.transforms.forEach((function(t){var e={1:6,2:5,3:8,4:7,5:4,6:3,7:2,8:1},r={1:4,2:3,3:2,4:1,5:6,6:5,7:8,8:7};if(\"imir\"===t.type&&(s=0===t.value?r[s]:e[s=e[s=r[s]]]),\"irot\"===t.type)for(var n=0;n<t.value;n++)s=e[s]}));var f=null;return e.item_inf.Exif&&(f=e.item_loc[e.item_inf.Exif]),{width:o.width,height:o.height,orientation:e.transforms.length?s:null,variants:e.sizes,exif_location:f}}},e.exports.getMimeType=function(t){var e=String.fromCharCode.apply(null,t.slice(0,4)),r={};r[e]=!0;for(var 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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]]},{\"array-bounds\":71,\"color-normalize\":89,\"flatten-vertex-data\":191,\"object-assign\":247,\"pick-by-alias\":253,\"to-float32\":313,\"update-diff\":329}],280:[function(t,e,r){\"use strict\";var n=t(\"color-normalize\"),i=t(\"array-bounds\"),a=t(\"object-assign\"),o=t(\"glslify\"),s=t(\"pick-by-alias\"),l=t(\"flatten-vertex-data\"),c=t(\"earcut\"),u=t(\"array-normalize\"),f=t(\"to-float32\"),h=f.float32,p=f.fract32,d=t(\"es6-weak-map\"),m=t(\"parse-rect\"),g=t(\"array-find-index\");function v(t,e){if(!(this instanceof v))return new v(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=v.shaders.has(t)?v.shaders.get(t):v.shaders.set(t,v.createShaders(t)).get(t),this.update(e)}e.exports=v,v.dashMult=2,v.maxPatternLength=256,v.precisionThreshold=3e6,v.maxPoints=1e4,v.maxLines=2048,v.shaders=new d,v.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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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>v.precisionThreshold||e.scale[1]*e.viewport.height>v.precisionThreshold||\"rect\"===e.join||!e.join&&(e.thickness<=2||e.count>=v.maxPoints)?t.shaders.rect(e):t.shaders.miter(e)))})),this},v.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({},v.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<v.maxLines&&(d.depth=2*(v.maxLines-1-f%v.maxLines)/v.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=m(t.viewport)),d.viewport||(d.viewport=m([o.drawingBufferWidth,o.drawingBufferHeight])),null!=t.close&&(d.close=t.close),null===t.positions&&(t.positions=[]),t.positions){var y,x;if(t.positions.x&&t.positions.y){var b=t.positions.x,_=t.positions.y;x=d.count=Math.max(b.length,_.length),y=new Float64Array(2*x);for(var w=0;w<x;w++)y[2*w]=b[w],y[2*w+1]=_[w]}else y=l(t.positions,\"float64\"),x=d.count=Math.floor(y.length/2);var T=d.bounds=i(y,2);if(d.fill){for(var k=[],A={},M=0,S=0,E=0,L=d.count;S<L;S++){var C=y[2*S],P=y[2*S+1];isNaN(C)||isNaN(P)||null==C||null==P?(C=y[2*M],P=y[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 I=Object.keys(A).map(Number).sort((function(t,e){return t-e})),O=[],z=0,D=null!=d.hole?d.hole[0]:null;if(null!=D){var R=g(I,(function(t){return t>=D}));(I=I.slice(0,R)).push(D)}for(var F=function(t){var e=k.slice(2*z,2*I[t]).concat(D?k.slice(2*D):[]),r=(d.hole||[]).map((function(e){return e-D+(I[t]-z)})),n=c(e,r);n=n.map((function(e){return e+z+(e+z<I[t]?0:D-I[t])})),O.push.apply(O,n),z=I[t]+1},B=0;B<I.length;B++)F(B);for(var N=0,j=O.length;N<j;N++)null!=A[O[N]]&&(O[N]=A[O[N]]);d.triangles=O}else{for(var U=c(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(y);u(q,2,T);var G=new 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at=0;at<t.dashes.length;++at){for(var ot=0,st=t.dashes[at]*v.dashMult*.5;ot<st;++ot)$[rt++]=nt;nt^=255}}d.dashLength=tt,d.dashTexture({channels:1,data:$,width:$.length,height:1,mag:\"linear\",min:\"linear\"},0,0)}if(t.color){var lt=d.count,ct=t.color;ct||(ct=\"transparent\");var ut=new Uint8Array(4*lt+4);if(Array.isArray(ct)&&\"number\"!=typeof ct[0]){for(var ft=0;ft<lt;ft++){var ht=n(ct[ft],\"uint8\");ut.set(ht,4*ft)}ut.set(n(ct[0],\"uint8\"),4*lt)}else for(var pt=n(ct,\"uint8\"),dt=0;dt<lt+1;dt++)ut.set(pt,4*dt);d.colorBuffer({usage:\"dynamic\",type:\"uint8\",data:ut})}}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 y=[],x=0;x<this.passes.length;x++)null!==this.passes[x]&&y.push(this.passes[x]);return this.passes=y,this}},v.prototype.destroy=function(){return 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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 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mix(color, fragColor, colorAmt);\\n    color.a *= opacity;\\n\\n    gl_FragColor = color;\\n  }\\n\\n}\\n\"]),s.vert=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\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=f({},o);l.frag=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nuniform float opacity;\\n\\nfloat smoothStep(float edge0, float edge1, float x) {\\n\\tfloat t;\\n\\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\\n\\treturn t * t * (3.0 - 2.0 * t);\\n}\\n\\nvoid main() {\\n\\tfloat radius, alpha = 1.0, delta = fragWidth;\\n\\n\\tradius = length(2.0 * gl_PointCoord.xy - 1.0);\\n\\n\\tif (radius > 1.0 + delta) {\\n\\t\\tdiscard;\\n\\t}\\n\\n\\talpha -= smoothstep(1.0 - delta, 1.0 + delta, radius);\\n\\n\\tfloat borderRadius = fragBorderRadius;\\n\\tfloat ratio = smoothstep(borderRadius - delta, borderRadius + delta, radius);\\n\\tvec4 color = mix(fragColor, fragBorderColor, ratio);\\n\\tcolor.a *= alpha * opacity;\\n\\tgl_FragColor = color;\\n}\\n\"]),l.vert=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\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\"]),g&&(l.frag=l.frag.replace(\"smoothstep\",\"smoothStep\"),s.frag=s.frag.replace(\"smoothstep\",\"smoothStep\")),this.drawCircle=t(l)}b.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},b.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},b.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},b.prototype.drawItem=function(t,e){var r=this.groups,n=r[t];if(\"number\"==typeof e&&(t=e,n=r[e],e=null),n&&n.count&&n.opacity){n.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,n,e));for(var a=[],o=1;o<n.activation.length;o++)n.activation[o]&&(!0===n.activation[o]||n.activation[o].data.length)&&a.push.apply(a,i(this.getMarkerDrawOptions(o,n,e)));a.length&&this.drawMarker(a)}},b.prototype.getMarkerDrawOptions=function(t,e,r){var i=e.range,a=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,c=e.count;this.regl;if(!a)return r?[f({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[f({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var u=[],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(c),m=0;m<r.length;m++){var g=r[m];d[g]=p?p[g]:1}l.subdata(d)}for(var v=h.length;v--;){var y=n(h[v],2),x=y[0],b=y[1];u.push(f({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:b-x}))}return u},b.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,s=this.maxSize,c=this.maxColors,h=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=p(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=f({},b.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 g=0,x=0;if(d(n,e,[{snap:!0,size:function(t,e){return null==t&&(t=b.defaults.size),g+=t&&t.length?1:0,t},borderSize:function(t,e){return null==t&&(t=b.defaults.borderSize),g+=t&&t.length?1:0,t},opacity:parseFloat,color:function(e,r){return null==e&&(e=b.defaults.color),e=t.updateColor(e),x++,e},borderColor:function(e,r){return null==e&&(e=b.defaults.borderColor),e=t.updateColor(e),x++,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,s=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=m(t,\"float64\");var c=e.count=Math.floor(t.length/2),f=e.bounds=c?l(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=v.float32(t);return i({data:p,usage:\"dynamic\"}),a({data:v.fract32(t,p),usage:\"dynamic\"}),s({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 c=t.addMarker(e[s]);a[c]||(a[c]=new Uint8Array(r.count)),a[c][s]=1}for(var u=0;u<a.length;u++)if(a[u]){var f={data:a[u],type:\"uint8\",usage:\"static\"};i[u]?i[u](f):i[u]=o.buffer(f),i[u].data=a[u]}}else{i[t.addMarker(e)]=!0}return e},range:function(t,e,r){var n=e.bounds;if(n)return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=v.fract(e.scale),e.translateFract=v.fract(e.translate),t},viewport:function(t){return y(t||[a.drawingBufferWidth,a.drawingBufferHeight])}}]),g){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])/s),M[2*S+1]=Math.round(255*(null==k[S]?k:k[S])/s);A({data:M,usage:\"dynamic\"})}if(x){var E,L=n,C=L.count,P=L.color,I=L.borderColor,O=L.colorBuffer;if(t.tooManyColors){if(P.length||I.length){E=new Uint8Array(8*C);for(var z=0;z<C;z++){var D=P[z];E[8*z]=h[4*D],E[8*z+1]=h[4*D+1],E[8*z+2]=h[4*D+2],E[8*z+3]=h[4*D+3];var R=I[z];E[8*z+4]=h[4*R],E[8*z+5]=h[4*R+1],E[8*z+6]=h[4*R+2],E[8*z+7]=h[4*R+3]}}}else if(P.length||I.length){E=new Uint8Array(4*C+2);for(var F=0;F<C;F++)null!=P[F]&&(E[4*F]=P[F]%c,E[4*F+1]=Math.floor(P[F]/c)),null!=I[F]&&(E[4*F+2]=I[F]%c,E[4*F+3]=Math.floor(I[F]/c))}O({data:E||new Uint8Array(0),type:\"uint8\",usage:\"dynamic\"})}return n}))}},b.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},b.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 o=0;o<t.length;o+=4)a.push(t.slice(o,o+4));else for(var l=0;l<t.length;l+=4)a.push(t.subarray(l,l+4));t=a}for(var u=0;u<t.length;u++){var f=t[u];f=s(f,\"uint8\");var h=c(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[u]=e[h]}return!this.tooManyColors&&r.length>4*n&&(this.tooManyColors=!0),this.updatePalette(r),1===i.length?i[0]:i},b.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)}},b.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 _=t(\"object-assign\");e.exports=function(t,e){var r=new x(t,e),n=r.render.bind(r);return _(n,{render:n,update:r.update.bind(r),draw:r.draw.bind(r),destroy:r.destroy.bind(r),regl:r.regl,gl:r.gl,canvas:r.gl.canvas,groups:r.groups,markers:r.markerCache,palette:r.palette}),n}},{\"@plotly/point-cluster\":59,\"array-bounds\":71,\"color-id\":87,\"color-normalize\":89,\"flatten-vertex-data\":191,glslify:227,\"is-iexplorer\":233,\"object-assign\":247,\"parse-rect\":249,\"pick-by-alias\":253,\"to-float32\":313,\"update-diff\":329}],282:[function(t,e,r){\"use strict\";var n=t(\"regl-scatter2d\"),i=t(\"pick-by-alias\"),a=t(\"array-bounds\"),o=t(\"raf\"),s=t(\"array-range\"),l=t(\"parse-rect\"),c=t(\"flatten-vertex-data\");function u(t,e){if(!(this instanceof u))return new u(t,e);this.traces=[],this.passes={},this.regl=t,this.scatter=n(t),this.canvas=this.scatter.canvas}function 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]}e.exports=u,u.prototype.render=function(){for(var t,e=this,r=[],n=arguments.length;n--;)r[n]=arguments[n];return r.length&&(t=this).update.apply(t,r),this.regl.attributes.preserveDrawingBuffer?this.draw():(this.dirty?null==this.planned&&(this.planned=o((function(){e.draw(),e.dirty=!0,e.planned=null}))):(this.draw(),this.dirty=!0,o((function(){e.dirty=!1}))),this)},u.prototype.update=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=0;n<e.length;n++)this.updateItem(n,e[n]);this.traces=this.traces.filter(Boolean);for(var i=[],a=0,o=0;o<this.traces.length;o++){for(var s=this.traces[o],l=this.traces[o].passes,c=0;c<l.length;c++)i.push(this.passes[l[c]]);s.passOffset=a,a+=s.passes.length}return(t=this.scatter).update.apply(t,i),this}},u.prototype.updateItem=function(t,e){var r=this.regl;if(null===e)return this.traces[t]=null,this;if(!e)return this;var n,o=i(e,{data:\"data items columns rows values dimensions samples x\",snap:\"snap cluster\",size:\"sizes size radius\",color:\"colors color fill fill-color fillColor\",opacity:\"opacity alpha transparency opaque\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",borderColor:\"borderColors borderColor bordercolor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range ranges databox dataBox\",viewport:\"viewport viewBox viewbox\",domain:\"domain domains area areas\",padding:\"pad padding paddings pads margin margins\",transpose:\"transpose transposed\",diagonal:\"diagonal diag showDiagonal\",upper:\"upper up top upperhalf upperHalf showupperhalf showUpper showUpperHalf\",lower:\"lower low bottom lowerhalf lowerHalf showlowerhalf showLowerHalf showLower\"}),s=this.traces[t]||(this.traces[t]={id:t,buffer:r.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array}),color:\"black\",marker:null,size:12,borderColor:\"transparent\",borderSize:1,viewport:l([r._gl.drawingBufferWidth,r._gl.drawingBufferHeight]),padding:[0,0,0,0],opacity:1,diagonal:!0,upper:!0,lower:!0});if(null!=o.color&&(s.color=o.color),null!=o.size&&(s.size=o.size),null!=o.marker&&(s.marker=o.marker),null!=o.borderColor&&(s.borderColor=o.borderColor),null!=o.borderSize&&(s.borderSize=o.borderSize),null!=o.opacity&&(s.opacity=o.opacity),o.viewport&&(s.viewport=l(o.viewport)),null!=o.diagonal&&(s.diagonal=o.diagonal),null!=o.upper&&(s.upper=o.upper),null!=o.lower&&(s.lower=o.lower),o.data){s.buffer(c(o.data)),s.columns=o.data.length,s.count=o.data[0].length,s.bounds=[];for(var u=0;u<s.columns;u++)s.bounds[u]=a(o.data[u],1)}o.range&&(s.range=o.range,n=s.range&&\"number\"!=typeof s.range[0]),o.domain&&(s.domain=o.domain);var d=!1;null!=o.padding&&(Array.isArray(o.padding)&&o.padding.length===s.columns&&\"number\"==typeof o.padding[o.padding.length-1]?(s.padding=o.padding.map(p),d=!0):s.padding=p(o.padding));var m=s.columns,g=s.count,v=s.viewport.width,y=s.viewport.height,x=s.viewport.x,b=s.viewport.y,_=v/m,w=y/m;s.passes=[];for(var T=0;T<m;T++)for(var k=0;k<m;k++)if((s.diagonal||k!==T)&&(s.upper||!(T>k))&&(s.lower||!(T<k))){var A=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:m},y:{buffer:s.buffer,offset:T,count:g,stride:m}}:M.positions={x:{buffer:s.buffer,offset:k*g,count:g},y:{buffer:s.buffer,offset:T*g,count:g}},M.bounds=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],I=E[3];M.viewport=[x+L*v+S[0],b+C*y+S[1],x+P*v-S[2],b+I*y-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},u.prototype.draw=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=[],i=0;i<e.length;i++)if(\"number\"==typeof e[i]){var a=this.traces[e[i]],o=a.passes,l=a.passOffset;n.push.apply(n,s(l,l+o.length))}else if(e[i].length){var c=e[i],u=this.traces[i],f=u.passes,h=u.passOffset;f=f.map((function(t,e){n[h+e]=c}))}(t=this.scatter).draw.apply(t,n)}else this.scatter.draw();return this},u.prototype.destroy=function(){return 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()+(e.year()<0?1:0))%4==3||t%4==-1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return(t=i.year())<0&&t++,i.day()+30*(i.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return 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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},{\"../main\":346,\"object-assign\":247}],335:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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i=this._validate(t,e,r,n.local.invalidDate);return{yearType:(this.leapYear(i)?\"embolismic\":\"common\")+\" \"+[\"deficient\",\"regular\",\"complete\"][this.daysInYear(i)%10-3]}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t<=0?t+1:t,o=this.jdEpoch+this._delay1(a)+this._delay2(a)+r+1;if(e<7){for(var s=7;s<=this.monthsInYear(t);s++)o+=this.daysInMonth(t,s);for(s=1;s<e;s++)o+=this.daysInMonth(t,s)}else for(s=7;s<e;s++)o+=this.daysInMonth(t,s);return o},_delay1:function(t){var e=Math.floor((235*t-234)/19),r=12084+13753*e,n=29*e+Math.floor(r/25920);return o(3*(n+1),7)<3&&n++,n},_delay2:function(t){var e=this._delay1(t-1),r=this._delay1(t);return this._delay1(t+1)-r==356?2:r-e==382?1:0},fromJD:function(t){t=Math.floor(t)+.5;for(var e=Math.floor(98496*(t-this.jdEpoch)/35975351)-1;t>=this.toJD(-1===e?1:e+1,7,1);)e++;for(var r=t<this.toJD(e,1,1)?7:1;t>this.toJD(e,r,this.daysInMonth(e,r));)r++;var n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.hebrew=a},{\"../main\":346,\"object-assign\":247}],337:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Islamic\",jdEpoch:1948439.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Islamic\",epochs:[\"BH\",\"AH\"],monthNames:[\"Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' al-thani\",\"Jumada al-awwal\",\"Jumada al-thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-ahad\",\"Yawm al-ithnayn\",\"Yawm ath-thulaathaa'\",\"Yawm al-arbi'aa'\",\"Yawm al-kham\\u012bs\",\"Yawm al-jum'a\",\"Yawm as-sabt\"],dayNamesShort:[\"Aha\",\"Ith\",\"Thu\",\"Arb\",\"Kha\",\"Jum\",\"Sab\"],dayNamesMin:[\"Ah\",\"It\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!1}},leapYear:function(t){return(11*this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year()+14)%30<11},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return this.leapYear(t)?355:354},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),t=t<=0?t+1:t,(r=i.day())+Math.ceil(29.5*(e-1))+354*(t-1)+Math.floor((3+11*t)/30)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t)+.5;var e=Math.floor((30*(t-this.jdEpoch)+10646)/10631);e=e<=0?e-1:e;var r=Math.min(12,Math.ceil((t-29-this.toJD(e,1,1))/29.5)+1),n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.islamic=a},{\"../main\":346,\"object-assign\":247}],338:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Julian\",jdEpoch:1721423.5,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Julian\",epochs:[\"BC\",\"AD\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"mm/dd/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()<0?e.year()+1:e.year())%4==0},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),r=i.day(),t<0&&t++,e<=2&&(t--,e+=12),Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r-1524.5},fromJD:function(t){var e=Math.floor(t+.5)+1524,r=Math.floor((e-122.1)/365.25),n=Math.floor(365.25*r),i=Math.floor((e-n)/30.6001),a=i-Math.floor(i<14?1:13),o=r-Math.floor(a>2?4716:4715),s=e-n-Math.floor(30.6001*i);return o<=0&&o--,this.newDate(o,a,s)}}),n.calendars.julian=a},{\"../main\":346,\"object-assign\":247}],339:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}function s(t,e){return o(t-1,e)+1}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Mayan\",jdEpoch:584282.5,hasYearZero:!0,minMonth:0,firstMonth:0,minDay:0,regionalOptions:{\"\":{name:\"Mayan\",epochs:[\"\",\"\"],monthNames:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\"],monthNamesShort:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\"],dayNames:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],dayNamesShort:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],dayNamesMin:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],digits:null,dateFormat:\"YYYY.m.d\",firstDay:0,isRTL:!1,haabMonths:[\"Pop\",\"Uo\",\"Zip\",\"Zotz\",\"Tzec\",\"Xul\",\"Yaxkin\",\"Mol\",\"Chen\",\"Yax\",\"Zac\",\"Ceh\",\"Mac\",\"Kankin\",\"Muan\",\"Pax\",\"Kayab\",\"Cumku\",\"Uayeb\"],tzolkinMonths:[\"Imix\",\"Ik\",\"Akbal\",\"Kan\",\"Chicchan\",\"Cimi\",\"Manik\",\"Lamat\",\"Muluc\",\"Oc\",\"Chuen\",\"Eb\",\"Ben\",\"Ix\",\"Men\",\"Cib\",\"Caban\",\"Etznab\",\"Cauac\",\"Ahau\"]}},leapYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+\".\"+Math.floor(t/20)+\".\"+t%20},forYear:function(t){if((t=t.split(\".\")).length<3)throw\"Invalid Mayan year\";for(var e=0,r=0;r<t.length;r++){var n=parseInt(t[r],10);if(Math.abs(n)>19||r>0&&n<0)throw\"Invalid Mayan year\";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),!0},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate).toJD(),a=this._toHaab(i),o=this._toTzolkin(i);return{haabMonthName:this.local.haabMonths[a[0]-1],haabMonth:a[0],haabDay:a[1],tzolkinDayName:this.local.tzolkinMonths[o[0]-1],tzolkinDay:o[0],tzolkinTrecena:o[1]}},_toHaab:function(t){var e=o((t-=this.jdEpoch)+8+340,365);return[Math.floor(e/20)+1,o(e,20)]},_toTzolkin:function(t){return[s((t-=this.jdEpoch)+20,20),s(t+4,13)]},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return i.day()+20*i.month()+360*i.year()+this.jdEpoch},fromJD:function(t){t=Math.floor(t)+.5-this.jdEpoch;var e=Math.floor(t/360);t%=360,t+=t<0?360:0;var r=Math.floor(t/20),n=t%20;return this.newDate(e,r,n)}}),n.calendars.mayan=a},{\"../main\":346,\"object-assign\":247}],340:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar;var o=n.instance(\"gregorian\");i(a.prototype,{name:\"Nanakshahi\",jdEpoch:2257673.5,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Nanakshahi\",epochs:[\"BN\",\"AN\"],monthNames:[\"Chet\",\"Vaisakh\",\"Jeth\",\"Harh\",\"Sawan\",\"Bhadon\",\"Assu\",\"Katak\",\"Maghar\",\"Poh\",\"Magh\",\"Phagun\"],monthNamesShort:[\"Che\",\"Vai\",\"Jet\",\"Har\",\"Saw\",\"Bha\",\"Ass\",\"Kat\",\"Mgr\",\"Poh\",\"Mgh\",\"Pha\"],dayNames:[\"Somvaar\",\"Mangalvar\",\"Budhvaar\",\"Veervaar\",\"Shukarvaar\",\"Sanicharvaar\",\"Etvaar\"],dayNamesShort:[\"Som\",\"Mangal\",\"Budh\",\"Veer\",\"Shukar\",\"Sanichar\",\"Et\"],dayNamesMin:[\"So\",\"Ma\",\"Bu\",\"Ve\",\"Sh\",\"Sa\",\"Et\"],digits:null,dateFormat:\"dd-mm-yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear);return o.leapYear(e.year()+(e.year()<1?1:0)+1469)},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(1-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidMonth);(t=i.year())<0&&t++;for(var a=i.day(),s=1;s<i.month();s++)a+=this.daysPerMonth[s-1];return a+o.toJD(t+1468,3,13)},fromJD:function(t){t=Math.floor(t+.5);for(var e=Math.floor((t-(this.jdEpoch-1))/366);t>=this.toJD(e+1,1,1);)e++;for(var r=t-Math.floor(this.toJD(e,1,1)+.5)+1,n=1;r>this.daysInMonth(e,n);)r-=this.daysInMonth(e,n),n++;return this.newDate(e,n,r)}}),n.calendars.nanakshahi=a},{\"../main\":346,\"object-assign\":247}],341:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Nepali\",jdEpoch:1700709.5,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{\"\":{name:\"Nepali\",epochs:[\"BBS\",\"ABS\"],monthNames:[\"Baisakh\",\"Jestha\",\"Ashadh\",\"Shrawan\",\"Bhadra\",\"Ashwin\",\"Kartik\",\"Mangsir\",\"Paush\",\"Mangh\",\"Falgun\",\"Chaitra\"],monthNamesShort:[\"Bai\",\"Je\",\"As\",\"Shra\",\"Bha\",\"Ash\",\"Kar\",\"Mang\",\"Pau\",\"Ma\",\"Fal\",\"Chai\"],dayNames:[\"Aaitabaar\",\"Sombaar\",\"Manglbaar\",\"Budhabaar\",\"Bihibaar\",\"Shukrabaar\",\"Shanibaar\"],dayNamesShort:[\"Aaita\",\"Som\",\"Mangl\",\"Budha\",\"Bihi\",\"Shukra\",\"Shani\"],dayNamesMin:[\"Aai\",\"So\",\"Man\",\"Bu\",\"Bi\",\"Shu\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:1,isRTL:!1}},leapYear:function(t){return this.daysInYear(t)!==this.daysPerYear},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){if(t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),void 0===this.NEPALI_CALENDAR_DATA[t])return this.daysPerYear;for(var e=0,r=this.minMonth;r<=12;r++)e+=this.NEPALI_CALENDAR_DATA[t][r];return e},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),void 0===this.NEPALI_CALENDAR_DATA[t]?this.daysPerMonth[e-1]:this.NEPALI_CALENDAR_DATA[t][e]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=n.instance(),o=0,s=e,l=t;this._createMissingCalendarData(t);var c=t-(s>9||9===s&&r>=this.NEPALI_CALENDAR_DATA[l][0]?56:57);for(9!==e&&(o=r,s--);9!==s;)s<=0&&(s=12,l--),o+=this.NEPALI_CALENDAR_DATA[l][s],s--;return 9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=a.daysInYear(c)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(c,1,1).add(o,\"d\").toJD()},fromJD:function(t){var e=n.instance().fromJD(t),r=e.year(),i=e.dayOfYear(),a=r+56;this._createMissingCalendarData(a);for(var o=9,s=this.NEPALI_CALENDAR_DATA[a][0],l=this.NEPALI_CALENDAR_DATA[a][o]-s+1;i>l;)++o>12&&(o=1,a++),l+=this.NEPALI_CALENDAR_DATA[a][o];var c=this.NEPALI_CALENDAR_DATA[a][o]-(l-i);return this.newDate(a,o,c)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)void 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 682*((e.year()-(e.year()>0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t-(t>=0?474:473),s=474+o(a,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(a/2820)+this.jdEpoch-1},fromJD:function(t){var e=(t=Math.floor(t)+.5)-this.toJD(475,1,1),r=Math.floor(e/1029983),n=o(e,1029983),i=2820;if(1029982!==n){var a=Math.floor(n/366),s=o(n,366);i=Math.floor((2134*a+2816*s+2815)/1028522)+a+1}var l=i+2820*r+474;l=l<=0?l-1:l;var 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i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(i.year());return a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(i.year());return a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)},_g2tYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)}}),n.calendars.taiwan=o},{\"../main\":346,\"object-assign\":247}],344:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\"),a=n.instance();function 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(e.year());return a.leapYear(t)},weekOfYear:function(t,e,r){var i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(i.year());return a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(i.year());return a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)},_g2tYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)}}),n.calendars.thai=o},{\"../main\":346,\"object-assign\":247}],345:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"UmmAlQura\",hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Umm al-Qura\",epochs:[\"BH\",\"AH\"],monthNames:[\"Al-Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' Al-Thani\",\"Jumada Al-Awwal\",\"Jumada Al-Thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-Ahad\",\"Yawm al-Ithnain\",\"Yawm al-Thal\\u0101th\\u0101\\u2019\",\"Yawm al-Arba\\u2018\\u0101\\u2019\",\"Yawm al-Kham\\u012bs\",\"Yawm al-Jum\\u2018a\",\"Yawm al-Sabt\"],dayNamesMin:[\"Ah\",\"Ith\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!0}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 355===this.daysInYear(e.year())},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){for(var e=0,r=1;r<=12;r++)e+=this.daysInMonth(t,r);return e},daysInMonth:function(t,e){for(var r=this._validate(t,e,this.minDay,n.local.invalidMonth).toJD()-24e5+.5,i=0,a=0;a<o.length;a++){if(o[a]>r)return o[i]-o[i-1];i++}return 30},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate),a=12*(i.year()-1)+i.month()-15292;return i.day()+o[a-1]-1+24e5-.5},fromJD:function(t){for(var e=t-24e5+.5,r=0,n=0;n<o.length&&!(o[n]>e);n++)r++;var i=r+15292,a=Math.floor((i-1)/12),s=a+1,l=i-12*a,c=e-o[r-1]+1;return this.newDate(s,l,c)},isValid:function(t,e,r){var i=n.baseCalendar.prototype.isValid.apply(this,arguments);return i&&(i=(t=null!=t.year?t.year:t)>=1276&&t<=1500),i},_validate:function(t,e,r,i){var a=n.baseCalendar.prototype._validate.apply(this,arguments);if(a.year<1276||a.year>1500)throw i.replace(/\\{0\\}/,this.local.name);return a}}),n.calendars.ummalqura=a;var 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n=t(\"object-assign\");function i(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function o(t,e){return\"000000\".substring(0,e-(t=\"\"+t).length)+t}function s(){this.shortYearCutoff=\"+10\"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}n(i.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,i){return(n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,i):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+\"\").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",i=0;r>0;){var a=r%10;n=(0===a?\"\":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(a.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(c.local.differentCalendars||c.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+o(Math.abs(this.year()),4)+\"-\"+o(this.month(),2)+\"-\"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,\"d\"===r||\"w\"===r){var n=t.toJD()+e*(\"w\"===r?this.daysInWeek():1),i=t.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=t.year()+(\"y\"===r?e:0),o=t.monthOfYear()+(\"m\"===r?e:0);i=t.day();\"y\"===r?(t.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):\"m\"===r&&(!function(t){for(;o<t.minMonth;)a--,o+=t.monthsInYear(a);for(var e=t.monthsInYear(a);o>e-1+t.minMonth;)a++,o-=e,e=t.monthsInYear(a)}(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var s=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,s}catch(t){throw 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r,s,l=o(t,e),c=l.on,u=l.off.concat(l.explicitOff),f={},h=t._fullLayout.annotations;if(!c.length&&!u.length)return;for(r=0;r<c.length;r++)(s=a(t.layout,\"annotations\",h[c[r]])).modifyItem(\"visible\",!0),n.extendFlat(f,s.getUpdateObj());for(r=0;r<u.length;r++)(s=a(t.layout,\"annotations\",h[u[r]])).modifyItem(\"visible\",!1),n.extendFlat(f,s.getUpdateObj());return i.call(\"update\",t,{},f)}}},{\"../../lib\":503,\"../../plot_api/plot_template\":543,\"../../registry\":638}],352:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../color\");e.exports=function(t,e,r,a){a(\"opacity\");var o=a(\"bgcolor\"),s=a(\"bordercolor\"),l=i.opacity(s);a(\"borderpad\");var c=a(\"borderwidth\"),u=a(\"showarrow\");if(a(\"text\",u?\" \":r._dfltTitle.annotation),a(\"textangle\"),n.coerceFont(a,\"font\",r.font),a(\"width\"),a(\"align\"),a(\"height\")&&a(\"valign\"),u){var f,h,p=a(\"arrowside\");-1!==p.indexOf(\"end\")&&(f=a(\"arrowhead\"),h=a(\"arrowsize\")),-1!==p.indexOf(\"start\")&&(a(\"startarrowhead\",f),a(\"startarrowsize\",h)),a(\"arrowcolor\",l?e.bordercolor:i.defaultLine),a(\"arrowwidth\",2*(l&&c||1)),a(\"standoff\"),a(\"startstandoff\")}var d=a(\"hovertext\"),m=r.hoverlabel||{};if(d){var g=a(\"hoverlabel.bgcolor\",m.bgcolor||(i.opacity(o)?i.rgb(o):i.defaultLine)),v=a(\"hoverlabel.bordercolor\",m.bordercolor||i.contrast(g));n.coerceFont(a,\"hoverlabel.font\",{family:m.font.family,size:m.font.size,color:m.font.color||v})}a(\"captureevents\",!!d)}},{\"../../lib\":503,\"../color\":366}],353:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib/to_log_range\");e.exports=function(t,e,r,a){e=e||{};var o=\"log\"===r&&\"linear\"===e.type,s=\"linear\"===r&&\"log\"===e.type;if(o||s)for(var l,c,u=t._fullLayout.annotations,f=e._id.charAt(0),h=0;h<u.length;h++)l=u[h],c=\"annotations[\"+h+\"].\",l[f+\"ref\"]===e._id&&p(f),l[\"a\"+f+\"ref\"]===e._id&&p(\"a\"+f);function p(t){var r=l[t],s=null;s=o?i(r,e.range):Math.pow(10,r),n(s)||(s=null),a(c+t,s)}}},{\"../../lib/to_log_range\":531,\"fast-isnumeric\":190}],354:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../plots/cartesian/axes\"),a=t(\"../../plots/array_container_defaults\"),o=t(\"./common_defaults\"),s=t(\"./attributes\");function l(t,e,r){function a(r,i){return n.coerce(t,e,s,r,i)}var l=a(\"visible\"),c=a(\"clicktoshow\");if(l||c){o(t,e,r,a);for(var u=e.showarrow,f=[\"x\",\"y\"],h=[-10,-30],p={_fullLayout:r},d=0;d<2;d++){var m=f[d],g=i.coerceRef(t,e,p,m,\"\",\"paper\");if(\"paper\"!==g)i.getFromId(p,g)._annIndices.push(e._index);if(i.coercePosition(e,p,a,g,m,.5),u){var v=\"a\"+m,y=i.coerceRef(t,e,p,v,\"pixel\",[\"pixel\",\"paper\"]);\"pixel\"!==y&&y!==g&&(y=e[v]=\"pixel\");var 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r=t._fullLayout.annotations[e]||{},n=l.getFromId(t,r.xref),i=l.getFromId(t,r.yref);n&&n.setScale(),i&&i.setScale(),x(t,r,e,!1,n,i)}function y(t,e,r,n,i){var a=i[r],o=i[r+\"ref\"],s=-1!==r.indexOf(\"y\"),c=\"domain\"===l.getRefType(o),u=s?n.h:n.w;return t?c?a+(s?-e:e)/t._length:t.p2r(t.r2p(a)+e):a+(s?-e:e)/u}function x(t,e,r,a,v,x){var b,_,w=t._fullLayout,T=t._fullLayout._size,k=t._context.edits;a?(b=\"annotation-\"+a,_=a+\".annotations\"):(b=\"annotation\",_=\"annotations\");var A=m(t.layout,_,e),M=A.modifyBase,S=A.modifyItem,E=A.getUpdateObj;w._infolayer.selectAll(\".\"+b+'[data-index=\"'+r+'\"]').remove();var L=\"clip\"+w._uid+\"_ann\"+r;if(e._input&&!1!==e.visible){var C={x:{},y:{}},P=+e.textangle||0,I=w._infolayer.append(\"g\").classed(b,!0).attr(\"data-index\",String(r)).style(\"opacity\",e.opacity),O=I.append(\"g\").classed(\"annotation-text-g\",!0),z=k[e.showarrow?\"annotationTail\":\"annotationPosition\"],D=e.captureevents||k.annotationText||z,R=O.append(\"g\").style(\"pointer-events\",D?\"all\":null).call(p,\"pointer\").on(\"click\",(function(){t._dragging=!1,t.emit(\"plotly_clickannotation\",Y(n.event))}));e.hovertext&&R.on(\"mouseover\",(function(){var r=e.hoverlabel,n=r.font,i=this.getBoundingClientRect(),a=t.getBoundingClientRect();f.loneHover({x0:i.left-a.left,x1:i.right-a.left,y:(i.top+i.bottom)/2-a.top,text:e.hovertext,color:r.bgcolor,borderColor:r.bordercolor,fontFamily:n.family,fontSize:n.size,fontColor:n.color},{container:w._hoverlayer.node(),outerContainer:w._paper.node(),gd:t})})).on(\"mouseout\",(function(){f.loneUnhover(w._hoverlayer.node())}));var F=e.borderwidth,B=e.borderpad,N=F+B,j=R.append(\"rect\").attr(\"class\",\"bg\").style(\"stroke-width\",F+\"px\").call(c.stroke,e.bordercolor).call(c.fill,e.bgcolor),U=e.width||e.height,V=w._topclips.selectAll(\"#\"+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(W).on(\"edit\",(function(r){e.text=r,this.call(W),S(\"text\",r),v&&v.autorange&&M(v._name+\".autorange\",!0),x&&x.autorange&&M(x._name+\".autorange\",!0),i.call(\"_guiRelayout\",t,E())})):G.call(W)}else n.selectAll(\"#\"+L).remove();function Y(t){var n={index:r,annotation:e._input,fullAnnotation:e,event:t};return a&&(n.subplotId=a),n}function W(r){return r.call(u.font,H).attr({\"text-anchor\":{left:\"start\",right:\"end\"}[e.align]||\"middle\"}),h.convertToTspans(r,t,X),r}function X(){var r=G.selectAll(\"a\");1===r.size()&&r.text()===G.text()&&R.insert(\"a\",\":first-child\").attr({\"xlink:xlink:href\":r.attr(\"xlink:href\"),\"xlink:xlink:show\":r.attr(\"xlink:show\")}).style({cursor:\"pointer\"}).node().appendChild(j.node());var n=R.select(\".annotation-text-math-group\"),f=!n.empty(),m=u.bBox((f?n:G).node()),b=m.width,_=m.height,A=e.width||b,D=e.height||_,B=Math.round(A+2*N),H=Math.round(D+2*N);function q(t,e){return\"auto\"===e&&(e=t<1/3?\"left\":t>2/3?\"right\":\"center\"),{center:0,middle:0,left:.5,bottom:-.5,right:-.5,top:.5}[e]}for(var W=!1,X=[\"x\",\"y\"],Z=0;Z<X.length;Z++){var J,K,Q,$,tt,et=X[Z],rt=e[et+\"ref\"]||et,nt=e[\"a\"+et+\"ref\"],it={x:v,y:x}[et],at=(P+(\"x\"===et?0:-90))*Math.PI/180,ot=B*Math.cos(at),st=H*Math.sin(at),lt=Math.abs(ot)+Math.abs(st),ct=e[et+\"anchor\"],ut=e[et+\"shift\"]*(\"x\"===et?1:-1),ft=C[et],ht=l.getRefType(rt);if(it&&\"domain\"!==ht){var pt=it.r2fraction(e[et]);(pt<0||pt>1)&&(nt===rt?((pt=it.r2fraction(e[\"a\"+et]))<0||pt>1)&&(W=!0):W=!0),J=it._offset+it.r2p(e[et]),$=.5}else{var dt=\"domain\"===ht;\"x\"===et?(Q=e[et],J=dt?it._offset+it._length*Q:J=T.l+T.w*Q):(Q=1-e[et],J=dt?it._offset+it._length*Q:J=T.t+T.h*Q),$=e.showarrow?.5:Q}if(e.showarrow){ft.head=J;var mt=e[\"a\"+et];if(tt=ot*q(.5,e.xanchor)-st*q(.5,e.yanchor),nt===rt){var gt=l.getRefType(nt);\"domain\"===gt?(\"y\"===et&&(mt=1-mt),ft.tail=it._offset+it._length*mt):\"paper\"===gt?\"y\"===et?(mt=1-mt,ft.tail=T.t+T.h*mt):ft.tail=T.l+T.w*mt:ft.tail=it._offset+it.r2p(mt),K=tt}else ft.tail=J+mt,K=tt+mt;ft.text=ft.tail+tt;var vt=w[\"x\"===et?\"width\":\"height\"];if(\"paper\"===rt&&(ft.head=o.constrain(ft.head,1,vt-1)),\"pixel\"===nt){var yt=-Math.max(ft.tail-3,ft.text),xt=Math.min(ft.tail+3,ft.text)-vt;yt>0?(ft.tail+=yt,ft.text+=yt):xt>0&&(ft.tail-=xt,ft.text-=xt)}ft.tail+=ut,ft.head+=ut}else K=tt=lt*q($,ct),ft.text=J+tt;ft.text+=ut,tt+=ut,K+=ut,e[\"_\"+et+\"padplus\"]=lt/2+K,e[\"_\"+et+\"padminus\"]=lt/2-K,e[\"_\"+et+\"size\"]=lt,e[\"_\"+et+\"shift\"]=tt}if(W)R.remove();else{var bt=0,_t=0;if(\"left\"!==e.align&&(bt=(A-b)*(\"center\"===e.align?.5:1)),\"top\"!==e.valign&&(_t=(D-_)*(\"middle\"===e.valign?.5:1)),f)n.select(\"svg\").attr({x:N+bt-1,y:N+_t}).call(u.setClipUrl,U?L:null,t);else{var wt=N+_t-m.top,Tt=N+bt-m.left;G.call(h.positionText,Tt,wt).call(u.setClipUrl,U?L:null,t)}V.select(\"rect\").call(u.setRect,N,N,A,D),j.call(u.setRect,F/2,F/2,B-F,H-F),R.call(u.setTranslate,Math.round(C.x.text-B/2),Math.round(C.y.text-H/2)),O.attr({transform:\"rotate(\"+P+\",\"+C.x.text+\",\"+C.y.text+\")\"});var kt,At=function(r,n){I.selectAll(\".annotation-arrow-g\").remove();var l=C.x.head,f=C.y.head,h=C.x.tail+r,p=C.y.tail+n,m=C.x.text+r,b=C.y.text+n,_=o.rotationXYMatrix(P,m,b),w=o.apply2DTransform(_),A=o.apply2DTransform2(_),L=+j.attr(\"width\"),z=+j.attr(\"height\"),D=m-.5*L,F=D+L,B=b-.5*z,N=B+z,U=[[D,B,D,N],[D,N,F,N],[F,N,F,B],[F,B,D,B]].map(A);if(!U.reduce((function(t,e){return t^!!o.segmentsIntersect(l,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=I.append(\"g\").style({opacity:c.opacity(H)}).classed(\"annotation-arrow-g\",!0),Y=G.append(\"path\").attr(\"d\",\"M\"+h+\",\"+p+\"L\"+l+\",\"+f).style(\"stroke-width\",V+\"px\").call(c.stroke,c.rgb(H));if(g(Y,q,e),k.annotationPosition&&Y.node().parentNode&&!a){var W=l,X=f;if(e.standoff){var Z=Math.sqrt(Math.pow(l-h,2)+Math.pow(f-p,2));W+=e.standoff*(h-l)/Z,X+=e.standoff*(p-f)/Z}var J,K,Q=G.append(\"path\").classed(\"annotation-arrow\",!0).classed(\"anndrag\",!0).classed(\"cursor-move\",!0).attr({d:\"M3,3H-3V-3H3ZM0,0L\"+(h-W)+\",\"+(p-X),transform:s(W,X)}).style(\"stroke-width\",V+6+\"px\").call(c.stroke,\"rgba(0,0,0,0)\").call(c.fill,\"rgba(0,0,0,0)\");d.init({element:Q.node(),gd:t,prepFn:function(){var t=u.getTranslate(R);J=t.x,K=t.y,v&&v.autorange&&M(v._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(u.setTranslate,i,a),S(\"x\",y(v,t,\"x\",T,e)),S(\"y\",y(x,r,\"y\",T,e)),e.axref===e.xref&&S(\"ax\",y(v,t,\"ax\",T,e)),e.ayref===e.yref&&S(\"ay\",y(x,r,\"ay\",T,e)),G.attr(\"transform\",s(t,r)),O.attr({transform:\"rotate(\"+P+\",\"+i+\",\"+a+\")\"})},doneFn:function(){i.call(\"_guiRelayout\",t,E());var e=document.querySelector(\".js-notes-box-panel\");e&&e.redraw(e.selectedObj)}})}}};if(e.showarrow&&At(0,0),z)d.init({element:R.node(),gd:t,prepFn:function(){kt=O.attr(\"transform\")},moveFn:function(t,r){var n=\"pointer\";if(e.showarrow)e.axref===e.xref?S(\"ax\",y(v,t,\"ax\",T,e)):S(\"ax\",e.ax+t),e.ayref===e.yref?S(\"ay\",y(x,r,\"ay\",T.w,e)):S(\"ay\",e.ay+r),At(t,r);else{if(a)return;var i,o;if(v)i=y(v,t,\"x\",T,e);else{var l=e._xsize/T.w,c=e.x+(e._xshift-e.xshift)/T.w-l/2;i=d.align(c+t/T.w,l,0,1,e.xanchor)}if(x)o=y(x,r,\"y\",T,e);else{var u=e._ysize/T.h,f=e.y-(e._yshift+e.yshift)/T.h-u/2;o=d.align(f-r/T.h,u,0,1,e.yanchor)}S(\"x\",i),S(\"y\",o),v&&x||(n=d.getCursor(v?.5:i,x?.5:o,e.xanchor,e.yanchor))}O.attr({transform:s(t,r)+kt}),p(R,n)},clickFn:function(r,n){e.captureevents&&t.emit(\"plotly_clickannotation\",Y(n))},doneFn:function(){p(R),i.call(\"_guiRelayout\",t,E());var e=document.querySelector(\".js-notes-box-panel\");e&&e.redraw(e.selectedObj)}})}}}e.exports={draw:function(t){var e=t._fullLayout;e._infolayer.selectAll(\".annotation\").remove();for(var r=0;r<e.annotations.length;r++)e.annotations[r].visible&&v(t,r);return a.previousPromises(t)},drawOne:v,drawRaw:x}},{\"../../lib\":503,\"../../lib/setcursor\":524,\"../../lib/svg_text_utils\":529,\"../../plot_api/plot_template\":543,\"../../plots/cartesian/axes\":554,\"../../plots/plots\":619,\"../../registry\":638,\"../color\":366,\"../dragelement\":385,\"../drawing\":388,\"../fx\":406,\"./draw_arrow_head\":356,\"@plotly/d3\":58}],356:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../color\"),a=t(\"./arrow_paths\"),o=t(\"../../lib\"),s=o.strScale,l=o.strRotate,c=o.strTranslate;e.exports=function(t,e,r){var o,u,f,h,p=t.node(),d=a[r.arrowhead||0],m=a[r.startarrowhead||0],g=(r.arrowwidth||1)*(r.arrowsize||1),v=(r.arrowwidth||1)*(r.startarrowsize||1),y=e.indexOf(\"start\")>=0,x=e.indexOf(\"end\")>=0,b=d.backoff*g+r.standoff,_=m.backoff*v+r.startstandoff;if(\"line\"===p.nodeName){o={x:+t.attr(\"x1\"),y:+t.attr(\"y1\")},u={x:+t.attr(\"x2\"),y:+t.attr(\"y2\")};var w=o.x-u.x,T=o.y-u.y;if(h=(f=Math.atan2(T,w))+Math.PI,b&&_&&b+_>Math.sqrt(w*w+T*T))return void z();if(b){if(b*b>w*w+T*T)return void z();var k=b*Math.cos(f),A=b*Math.sin(f);u.x+=k,u.y+=A,t.attr({x2:u.x,y2:u.y})}if(_){if(_*_>w*w+T*T)return void z();var M=_*Math.cos(f),S=_*Math.sin(f);o.x-=M,o.y-=S,t.attr({x1:o.x,y1:o.y})}}else if(\"path\"===p.nodeName){var E=p.getTotalLength(),L=\"\";if(E<b+_)return void z();var C=p.getPointAtLength(0),P=p.getPointAtLength(.1);f=Math.atan2(C.y-P.y,C.x-P.x),o=p.getPointAtLength(Math.min(_,E)),L=\"0px,\"+_+\"px,\";var 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n=t(\"@plotly/d3\"),i=t(\"tinycolor2\"),a=t(\"../../plots/plots\"),o=t(\"../../registry\"),s=t(\"../../plots/cartesian/axes\"),l=t(\"../dragelement\"),c=t(\"../../lib\"),u=c.strTranslate,f=t(\"../../lib/extend\").extendFlat,h=t(\"../../lib/setcursor\"),p=t(\"../drawing\"),d=t(\"../color\"),m=t(\"../titles\"),g=t(\"../../lib/svg_text_utils\"),v=t(\"../colorscale/helpers\").flipScale,y=t(\"../../plots/cartesian/axis_defaults\"),x=t(\"../../plots/cartesian/position_defaults\"),b=t(\"../../plots/cartesian/layout_attributes\"),_=t(\"../../constants/alignment\"),w=_.LINE_SPACING,T=_.FROM_TL,k=_.FROM_BR,A=t(\"./constants\").cn;e.exports={draw:function(t){var e=t._fullLayout._infolayer.selectAll(\"g.\"+A.colorbar).data(function(t){var e,r,n,i,a=t._fullLayout,o=t.calcdata,s=[];function l(t){return f(t,{_fillcolor:null,_line:{color:null,width:null,dash:null},_levels:{start:null,end:null,size:null},_filllevels:null,_fillgradient:null,_zrange:null})}function c(){\"function\"==typeof 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r=n.select(this);c.ensureSingle(r,\"rect\",A.cbbg),c.ensureSingle(r,\"g\",A.cbfills),c.ensureSingle(r,\"g\",A.cblines),c.ensureSingle(r,\"g\",A.cbaxis,(function(t){t.classed(A.crisp,!0)})),c.ensureSingle(r,\"g\",A.cbtitleunshift,(function(t){t.append(\"g\").classed(A.cbtitle,!0)})),c.ensureSingle(r,\"rect\",A.cboutline);var v=function(t,e,r){var o=\"v\"===e.orientation,l=e.len,h=e.lenmode,v=e.thickness,_=e.thicknessmode,M=e.outlinewidth,S=e.borderwidth,E=e.bgcolor,L=e.xanchor,C=e.yanchor,P=e.xpad,I=e.ypad,O=e.x,z=o?e.y:1-e.y,D=r._fullLayout,R=D._size,F=e._fillcolor,B=e._line,N=e.title,j=N.side,U=e._zrange||n.extent((\"function\"==typeof F?F:B.color).domain()),V=\"function\"==typeof B.color?B.color:function(){return B.color},H=\"function\"==typeof F?F:function(){return F},q=e._levels,G=function(t,e,r){var n,i,a=e._levels,o=[],s=[],l=a.end+a.size/100,c=a.size,u=1.001*r[0]-.001*r[1],f=1.001*r[1]-.001*r[0];for(i=0;i<1e5&&(n=a.start+i*c,!(c>0?n>=l:n<=l));i++)n>u&&n<f&&o.push(n);if(e._fillgradient)s=[0];else if(\"function\"==typeof e._fillcolor){var h=e._filllevels;if(h)for(l=h.end+h.size/100,c=h.size,i=0;i<1e5&&(n=h.start+i*c,!(c>0?n>=l:n<=l));i++)n>r[0]&&n<r[1]&&s.push(n);else(s=o.map((function(t){return t-a.size/2}))).push(s[s.length-1]+a.size)}else e._fillcolor&&\"string\"==typeof e._fillcolor&&(s=[0]);a.size<0&&(o.reverse(),s.reverse());return{line:o,fill:s}}(0,e,U),Y=G.fill,W=G.line,X=Math.round(v*(\"fraction\"===_?o?R.w:R.h:1)),Z=X/(o?R.w:R.h),J=Math.round(l*(\"fraction\"===h?o?R.h:R.w:1)),K=J/(o?R.h:R.w),Q=Math.round(o?O*R.w+P:z*R.h+I),$={center:.5,right:1}[L]||0,tt={top:1,middle:.5}[C]||0,et=o?O-$*Z:z-tt*Z,rt=o?z-tt*K:O-$*K,nt=Math.round(o?R.h*(1-rt):R.w*rt);e._lenFrac=K,e._thickFrac=Z,e._uFrac=et,e._vFrac=rt;var it=e._axis=function(t,e,r){var n=t._fullLayout,i=\"v\"===e.orientation,a={type:\"linear\",range:r,tickmode:e.tickmode,nticks:e.nticks,tick0:e.tick0,dtick:e.dtick,tickvals:e.tickvals,ticktext:e.ticktext,ticks:e.ticks,ticklen:e.ticklen,tickwidth:e.tickwidth,tickcolor:e.tickcolor,showticklabels:e.showticklabels,ticklabelposition:e.ticklabelposition,ticklabeloverflow:e.ticklabeloverflow,ticklabelstep:e.ticklabelstep,tickfont:e.tickfont,tickangle:e.tickangle,tickformat:e.tickformat,exponentformat:e.exponentformat,minexponent:e.minexponent,separatethousands:e.separatethousands,showexponent:e.showexponent,showtickprefix:e.showtickprefix,tickprefix:e.tickprefix,showticksuffix:e.showticksuffix,ticksuffix:e.ticksuffix,title:e.title,showline:!0,anchor:\"free\",side:i?\"right\":\"bottom\",position:1},o=i?\"y\":\"x\",s={type:\"linear\",_id:o+e._id},l={letter:o,font:n.font,noHover:!0,noTickson:!0,noTicklabelmode:!0,calendar:n.calendar};function u(t,e){return c.coerce(a,s,b,t,e)}return y(a,s,u,l,n),x(a,s,u,l),s}(r,e,U);it.position=Z+(o?O+P/R.w:z+I/R.h);var at=-1!==[\"top\",\"bottom\"].indexOf(j);o&&at&&(it.title.side=j,it.titlex=O+P/R.w,it.titley=rt+(\"top\"===N.side?K-I/R.h:I/R.h));o||at||(it.title.side=j,it.titley=z+I/R.h,it.titlex=rt+P/R.w);if(B.color&&\"auto\"===e.tickmode){it.tickmode=\"linear\",it.tick0=q.start;var ot=q.size,st=c.constrain(J/50,4,15)+1,lt=(U[1]-U[0])/((e.nticks||st)*ot);if(lt>1){var ct=Math.pow(10,Math.floor(Math.log(lt)/Math.LN10));ot*=ct*c.roundUp(lt/ct,[2,5,10]),(Math.abs(q.start)/q.size+1e-6)%1<2e-6&&(it.tick0=0)}it.dtick=ot}it.domain=o?[rt+I/R.h,rt+K-I/R.h]:[rt+P/R.w,rt+K-P/R.w],it.setScale(),t.attr(\"transform\",u(Math.round(R.l),Math.round(R.t)));var ut,ft=t.select(\".\"+A.cbtitleunshift).attr(\"transform\",u(-Math.round(R.l),-Math.round(R.t))),ht=it.ticklabelposition,pt=it.title.font.size,dt=t.select(\".\"+A.cbaxis),mt=0,gt=0;function vt(n,i){var a={propContainer:it,propName:e._propPrefix+\"title\",traceIndex:e._traceIndex,_meta:e._meta,placeholder:D._dfltTitle.colorbar,containerGroup:t.select(\".\"+A.cbtitle)},o=\"h\"===n.charAt(0)?n.substr(1):\"h\"+n;t.selectAll(\".\"+o+\",.\"+o+\"-math-group\").remove(),m.draw(r,n,f(a,i||{}))}return c.syncOrAsync([a.previousPromises,function(){var t,e;(o&&at||!o&&!at)&&(\"top\"===j&&(t=P+R.l+R.w*O,e=I+R.t+R.h*(1-rt-K)+3+.75*pt),\"bottom\"===j&&(t=P+R.l+R.w*O,e=I+R.t+R.h*(1-rt)-3-.25*pt),\"right\"===j&&(e=I+R.t+R.h*z+3+.75*pt,t=P+R.l+R.w*rt),vt(it._id+\"title\",{attributes:{x:t,y:e,\"text-anchor\":o?\"start\":\"middle\"}}))},function(){if(!o&&!at||o&&at){var a,l=t.select(\".\"+A.cbtitle),f=l.select(\"text\"),h=[-M/2,M/2],d=l.select(\".h\"+it._id+\"title-math-group\").node(),m=15.6;if(f.node()&&(m=parseInt(f.node().style.fontSize,10)*w),d?(a=p.bBox(d),gt=a.width,(mt=a.height)>m&&(h[1]-=(mt-m)/2)):f.node()&&!f.classed(A.jsPlaceholder)&&(a=p.bBox(f.node()),gt=a.width,mt=a.height),o){if(mt){if(mt+=5,\"top\"===j)it.domain[1]-=mt/R.h,h[1]*=-1;else{it.domain[0]+=mt/R.h;var v=g.lineCount(f);h[1]+=(1-v)*m}l.attr(\"transform\",u(h[0],h[1])),it.setScale()}}else gt&&(\"right\"===j&&(it.domain[0]+=(gt+pt/2)/R.w),l.attr(\"transform\",u(h[0],h[1])),it.setScale())}t.selectAll(\".\"+A.cbfills+\",.\"+A.cblines).attr(\"transform\",o?u(0,Math.round(R.h*(1-it.domain[1]))):u(Math.round(R.w*it.domain[0]),0)),dt.attr(\"transform\",o?u(0,Math.round(-R.t)):u(Math.round(-R.l),0));var y=t.select(\".\"+A.cbfills).selectAll(\"rect.\"+A.cbfill).attr(\"style\",\"\").data(Y);y.enter().append(\"rect\").classed(A.cbfill,!0).style(\"stroke\",\"none\"),y.exit().remove();var x=U.map(it.c2p).map(Math.round).sort((function(t,e){return t-e}));y.each((function(t,a){var s=[0===a?U[0]:(Y[a]+Y[a-1])/2,a===Y.length-1?U[1]:(Y[a]+Y[a+1])/2].map(it.c2p).map(Math.round);o&&(s[1]=c.constrain(s[1]+(s[1]>s[0])?1:-1,x[0],x[1]));var l=n.select(this).attr(o?\"x\":\"y\",Q).attr(o?\"y\":\"x\",n.min(s)).attr(o?\"width\":\"height\",Math.max(X,2)).attr(o?\"height\":\"width\",Math.max(n.max(s)-n.min(s),2));if(e._fillgradient)p.gradient(l,r,e._id,o?\"vertical\":\"horizontalreversed\",e._fillgradient,\"fill\");else{var u=H(t).replace(\"e-\",\"\");l.attr(\"fill\",i(u).toHexString())}}));var b=t.select(\".\"+A.cblines).selectAll(\"path.\"+A.cbline).data(B.color&&B.width?W:[]);b.enter().append(\"path\").classed(A.cbline,!0),b.exit().remove(),b.each((function(t){var e=Q,r=Math.round(it.c2p(t))+B.width/2%1;n.select(this).attr(\"d\",\"M\"+(o?e+\",\"+r:r+\",\"+e)+(o?\"h\":\"v\")+X).call(p.lineGroupStyle,B.width,V(t),B.dash)})),dt.selectAll(\"g.\"+it._id+\"tick,path\").remove();var _=Q+X+(M||0)/2-(\"outside\"===e.ticks?1:0),T=s.calcTicks(it),k=s.getTickSigns(it)[2];return s.drawTicks(r,it,{vals:\"inside\"===it.ticks?s.clipEnds(it,T):T,layer:dt,path:s.makeTickPath(it,_,k),transFn:s.makeTransTickFn(it)}),s.drawLabels(r,it,{vals:T,layer:dt,transFn:s.makeTransTickLabelFn(it),labelFns:s.makeLabelFns(it,_)})},function(){if(o&&!at||!o&&at){var t,i,a=it.position||0,s=it._offset+it._length/2;if(\"right\"===j)i=s,t=R.l+R.w*a+10+pt*(it.showticklabels?1:.5);else if(t=s,\"bottom\"===j&&(i=R.t+R.h*a+10+(-1===ht.indexOf(\"inside\")?it.tickfont.size:0)+(\"intside\"!==it.ticks&&e.ticklen||0)),\"top\"===j){var l=N.text.split(\"<br>\").length;i=R.t+R.h*a+10-X-w*pt*l}vt((o?\"h\":\"v\")+it._id+\"title\",{avoid:{selection:n.select(r).selectAll(\"g.\"+it._id+\"tick\"),side:j,offsetTop:o?0:R.t,offsetLeft:o?R.l:0,maxShift:o?D.width:D.height},attributes:{x:t,y:i,\"text-anchor\":\"middle\"},transform:{rotate:o?-90:0,offset:0}})}},a.previousPromises,function(){var n,s=X+M/2;-1===ht.indexOf(\"inside\")&&(n=p.bBox(dt.node()),s+=o?n.width:n.height),ut=ft.select(\"text\");var c=0,f=o&&\"top\"===j,m=!o&&\"right\"===j,g=0;if(ut.node()&&!ut.classed(A.jsPlaceholder)){var y,x=ft.select(\".h\"+it._id+\"title-math-group\").node();x&&(o&&at||!o&&!at)?(c=(n=p.bBox(x)).width,y=n.height):(c=(n=p.bBox(ft.node())).right-R.l-(o?Q:nt),y=n.bottom-R.t-(o?nt:Q),o||\"top\"!==j||(s+=n.height,g=n.height)),m&&(ut.attr(\"transform\",u(c/2+pt/2,0)),c*=2),s=Math.max(s,o?c:y)}var b=2*(o?P:I)+s+S+M/2,w=0;!o&&N.text&&\"bottom\"===C&&z<=0&&(b+=w=b/2,g+=w),D._hColorbarMoveTitle=w,D._hColorbarMoveCBTitle=g;var F=S+M;t.select(\".\"+A.cbbg).attr(\"x\",(o?Q:nt)-F/2-(o?P:0)).attr(\"y\",(o?nt:Q)-(o?J:I+g-w)).attr(o?\"width\":\"height\",Math.max(b-w,2)).attr(o?\"height\":\"width\",Math.max(J+F,2)).call(d.fill,E).call(d.stroke,e.bordercolor).style(\"stroke-width\",S);var B=m?Math.max(c-10,0):0;if(t.selectAll(\".\"+A.cboutline).attr(\"x\",(o?Q:nt+P)+B).attr(\"y\",(o?nt+I-J:Q)+(f?mt:0)).attr(o?\"width\":\"height\",Math.max(X,2)).attr(o?\"height\":\"width\",Math.max(J-(o?2*I+mt:2*P+B),2)).call(d.stroke,e.outlinecolor).style({fill:\"none\",\"stroke-width\":M}),t.attr(\"transform\",u(R.l-(o?$*b:0),R.t-(o?0:(1-tt)*b-g))),!o&&(S||i(E).getAlpha()&&!i.equals(D.paper_bgcolor,E))){var U=dt.selectAll(\"text\"),V=U[0].length,H=t.select(\".\"+A.cbbg).node(),q=p.bBox(H),G=p.getTranslate(t);U.each((function(t,e){var r=V-1;if(0===e||e===r){var n,i=p.bBox(this),a=p.getTranslate(this);if(e===r){var o=i.right+a.x;(n=q.right+G.x+nt-S-2+O-o)>0&&(n=0)}else if(0===e){var s=i.left+a.x;(n=q.left+G.x+nt+S+2-s)<0&&(n=0)}n&&(V<3?this.setAttribute(\"transform\",\"translate(\"+n+\",0) \"+this.getAttribute(\"transform\")):this.setAttribute(\"visibility\",\"hidden\"))}}))}var Y={},W=T[L],Z=k[L],K=T[C],et=k[C],rt=b-X;o?(\"pixels\"===h?(Y.y=z,Y.t=J*K,Y.b=J*et):(Y.t=Y.b=0,Y.yt=z+l*K,Y.yb=z-l*et),\"pixels\"===_?(Y.x=O,Y.l=b*W,Y.r=b*Z):(Y.l=rt*W,Y.r=rt*Z,Y.xl=O-v*W,Y.xr=O+v*Z)):(\"pixels\"===h?(Y.x=O,Y.l=J*W,Y.r=J*Z):(Y.l=Y.r=0,Y.xl=O+l*W,Y.xr=O-l*Z),\"pixels\"===_?(Y.y=1-z,Y.t=b*K,Y.b=b*et):(Y.t=rt*K,Y.b=rt*et,Y.yt=z-v*K,Y.yb=z+v*et)),a.autoMargin(r,e._id,Y)}],r)}(r,e,t);v&&v.then&&(t._promises||[]).push(v),t._context.edits.colorbarPosition&&function(t,e,r){var n,i,a,s=\"v\"===e.orientation,c=r._fullLayout._size;l.init({element:t.node(),gd:r,prepFn:function(){n=t.attr(\"transform\"),h(t)},moveFn:function(r,o){t.attr(\"transform\",n+u(r,o)),i=l.align((s?e._uFrac:e._vFrac)+r/c.w,s?e._thickFrac:e._lenFrac,0,1,e.xanchor),a=l.align((s?e._vFrac:1-e._uFrac)-o/c.h,s?e._lenFrac:e._thickFrac,0,1,e.yanchor);var f=l.getCursor(i,a,e.xanchor,e.yanchor);h(t,f)},doneFn:function(){if(h(t),void 0!==i&&void 0!==a){var n={};n[e._propPrefix+\"x\"]=i,n[e._propPrefix+\"y\"]=a,void 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o.warn(\"Fx.hover failed\",e,t),d.unhoverRaw(t,e)}var ct=1/0;function ut(t,r){for(G=0;G<rt.length;G++)if((Y=rt[G])&&Y[0]&&Y[0].trace&&!0===(W=Y[0].trace).visible&&0!==W._length&&-1===[\"carpet\",\"contourcarpet\"].indexOf(W._module.name)){if(\"splom\"===W.type?X=l[Z=0]:(X=v.getSubplot(W),Z=l.indexOf(X)),J=P,v.isUnifiedHover(J)&&(J=J.charAt(0)),$={cd:Y,trace:W,xa:_[Z],ya:w[Z],maxHoverDistance:O,maxSpikeDistance:B,index:!1,distance:Math.min(ct,O),spikeDistance:1/0,xSpike:void 0,ySpike:void 0,color:p.defaultLine,name:W.name,x0:void 0,x1:void 0,y0:void 0,y1:void 0,xLabelVal:void 0,yLabelVal:void 0,zLabelVal:void 0,text:void 0},u[X]&&($.subplot=u[X]._subplot),u._splomScenes&&u._splomScenes[W.uid]&&($.scene=u._splomScenes[W.uid]),tt=et.length,\"array\"===J){var n=e[G];\"pointNumber\"in n?($.index=n.pointNumber,J=\"closest\"):(J=\"\",\"xval\"in n&&(K=n.xval,J=\"x\"),\"yval\"in n&&(Q=n.yval,J=J?\"closest\":\"y\"))}else void 0!==t&&void 0!==r?(K=t,Q=r):(K=V[Z],Q=H[Z]);if(0!==O)if(W._module&&W._module.hoverPoints){var a=W._module.hoverPoints($,K,Q,J,{finiteRange:!0,hoverLayer:u._hoverlayer});if(a)for(var s,c=0;c<a.length;c++)s=a[c],i(s.x0)&&i(s.y0)&&et.push(D(s,P))}else o.log(\"Unrecognized trace type in hover:\",W);if(\"closest\"===P&&et.length>tt&&(et.splice(0,tt),ct=et[0].distance),y&&0!==B&&0===et.length){$.distance=B,$.index=!1;var f=W._module.hoverPoints($,K,Q,\"closest\",{hoverLayer:u._hoverlayer});if(f&&(f=f.filter((function(t){return t.spikeDistance<=B}))),f&&f.length){var h,d=f.filter((function(t){return t.xa.showspikes&&\"hovered data\"!==t.xa.spikesnap}));if(d.length){var m=d[0];i(m.x0)&&i(m.y0)&&(h=ht(m),(!nt.vLinePoint||nt.vLinePoint.spikeDistance>h.spikeDistance)&&(nt.vLinePoint=h))}var g=f.filter((function(t){return t.ya.showspikes&&\"hovered data\"!==t.ya.spikesnap}));if(g.length){var x=g[0];i(x.x0)&&i(x.y0)&&(h=ht(x),(!nt.hLinePoint||nt.hLinePoint.spikeDistance>h.spikeDistance)&&(nt.hLinePoint=h))}}}}}function ft(t,e,r){for(var n,i=null,a=1/0,o=0;o<t.length;o++)n=t[o].spikeDistance,r&&0===o&&(n=-1/0),n<=a&&n<=e&&(i=t[o],a=n);return i}function ht(t){return t?{xa:t.xa,ya:t.ya,x:void 0!==t.xSpike?t.xSpike:(t.x0+t.x1)/2,y:void 0!==t.ySpike?t.ySpike:(t.y0+t.y1)/2,distance:t.distance,spikeDistance:t.spikeDistance,curveNumber:t.trace.index,color:t.color,pointNumber:t.index}:null}ut();var pt={fullLayout:u,container:u._hoverlayer,event:e},dt=t._spikepoints,mt={vLinePoint:nt.vLinePoint,hLinePoint:nt.hLinePoint};t._spikepoints=mt;var gt=function(){et.sort((function(t,e){return t.distance-e.distance})),et=function(t,e){for(var r=e.charAt(0),n=[],i=[],a=[],o=0;o<t.length;o++){var s=t[o];g.traceIs(s.trace,\"bar-like\")||g.traceIs(s.trace,\"box-violin\")?a.push(s):s.trace[r+\"period\"]?i.push(s):n.push(s)}return n.concat(i).concat(a)}(et,P)};gt();var vt=P.charAt(0),yt=(\"x\"===vt||\"y\"===vt)&&et[0]&&L[et[0].trace.type];if(y&&0!==B&&0!==et.length){var xt=ft(et.filter((function(t){return t.ya.showspikes})),B,yt);nt.hLinePoint=ht(xt);var bt=ft(et.filter((function(t){return t.xa.showspikes})),B,yt);nt.vLinePoint=ht(bt)}if(0===et.length){var _t=d.unhoverRaw(t,e);return!y||null===nt.hLinePoint&&null===nt.vLinePoint||F(dt)&&R(t,nt,pt),_t}y&&F(dt)&&R(t,nt,pt);if(v.isXYhover(J)&&0!==et[0].length&&\"splom\"!==et[0].trace.type){var wt=et[0],Tt=(et=E[wt.trace.type]?et.filter((function(t){return t.trace.index===wt.trace.index})):[wt]).length,kt=N(\"x\",wt,u),At=N(\"y\",wt,u);ut(kt,At);var Mt,St=[],Et={},Lt=0,Ct=function(t){var e=E[t.trace.type]?C(t):t.trace.index;if(Et[e]){var r=Et[e]-1,n=St[r];r>0&&Math.abs(t.distance)<Math.abs(n.distance)&&(St[r]=t)}else Lt++,Et[e]=Lt,St.push(t)};for(Mt=0;Mt<Tt;Mt++)Ct(et[Mt]);for(Mt=et.length-1;Mt>Tt-1;Mt--)Ct(et[Mt]);et=St,gt()}var Pt=t._hoverdata,It=[],Ot=j(t),zt=U(t);for(q=0;q<et.length;q++){var Dt=et[q],Rt=v.makeEventData(Dt,Dt.trace,Dt.cd);if(!1!==Dt.hovertemplate){var Ft=!1;Dt.cd[Dt.index]&&Dt.cd[Dt.index].ht&&(Ft=Dt.cd[Dt.index].ht),Dt.hovertemplate=Ft||Dt.trace.hovertemplate||!1}if(Dt.xa&&Dt.ya){var Bt=Dt.x0+Dt.xa._offset,Nt=Dt.x1+Dt.xa._offset,jt=Dt.y0+Dt.ya._offset,Ut=Dt.y1+Dt.ya._offset,Vt=Math.min(Bt,Nt),Ht=Math.max(Bt,Nt),qt=Math.min(jt,Ut),Gt=Math.max(jt,Ut);Rt.bbox={x0:Vt+zt,x1:Ht+zt,y0:qt+Ot,y1:Gt+Ot}}Dt.eventData=[Rt],It.push(Rt)}t._hoverdata=It;var Yt=\"y\"===P&&(rt.length>1||et.length>1)||\"closest\"===P&&it&&et.length>1,Wt=p.combine(u.plot_bgcolor||p.background,u.paper_bgcolor),Xt=I(et,{gd:t,hovermode:P,rotateLabels:Yt,bgColor:Wt,container:u._hoverlayer,outerContainer:u._paper.node(),commonLabelOpts:u.hoverlabel,hoverdistance:u.hoverdistance});v.isUnifiedHover(P)||(!function(t,e,r){var n,i,a,o,s,l,c,u=0,f=1,h=t.size(),p=new Array(h),d=0;function m(t){var e=t[0],r=t[t.length-1];if(i=e.pmin-e.pos-e.dp+e.size,a=r.pos+r.dp+r.size-e.pmax,i>.01){for(s=t.length-1;s>=0;s--)t[s].dp+=i;n=!1}if(!(a<.01)){if(i<-.01){for(s=t.length-1;s>=0;s--)t[s].dp-=a;n=!1}if(n){var c=0;for(o=0;o<t.length;o++)(l=t[o]).pos+l.dp+l.size>e.pmax&&c++;for(o=t.length-1;o>=0&&!(c<=0);o--)(l=t[o]).pos>e.pmax-1&&(l.del=!0,c--);for(o=0;o<t.length&&!(c<=0);o++)if((l=t[o]).pos<e.pmin+1)for(l.del=!0,c--,a=2*l.size,s=t.length-1;s>=0;s--)t[s].dp-=a;for(o=t.length-1;o>=0&&!(c<=0);o--)(l=t[o]).pos+l.dp+l.size>e.pmax&&(l.del=!0,c--)}}}t.each((function(t){var n=t[e],i=\"x\"===n._id.charAt(0),a=n.range;0===d&&a&&a[0]>a[1]!==i&&(f=-1),p[d++]=[{datum:t,traceIndex:t.trace.index,dp:0,pos:t.pos,posref:t.posref,size:t.by*(i?T:1)/2,pmin:0,pmax:i?r.width:r.height}]})),p.sort((function(t,e){return t[0].posref-e[0].posref||f*(e[0].traceIndex-t[0].traceIndex)}));for(;!n&&u<=h;){for(u++,n=!0,o=0;o<p.length-1;){var g=p[o],v=p[o+1],y=g[g.length-1],x=v[0];if((i=y.pos+y.dp+y.size-x.pos-x.dp+x.size)>.01&&y.pmin===x.pmin&&y.pmax===x.pmax){for(s=v.length-1;s>=0;s--)v[s].dp+=i;for(g.push.apply(g,v),p.splice(o+1,1),c=0,s=g.length-1;s>=0;s--)c+=g[s].dp;for(a=c/g.length,s=g.length-1;s>=0;s--)g[s].dp-=a;n=!1}else o++}p.forEach(m)}for(o=p.length-1;o>=0;o--){var b=p[o];for(s=b.length-1;s>=0;s--){var _=b[s],w=_.datum;w.offset=_.dp,w.del=_.del}}}(Xt,Yt?\"xa\":\"ya\",u),z(Xt,Yt,u._invScaleX,u._invScaleY));if(s&&s.tagName){var Zt=g.getComponentMethod(\"annotations\",\"hasClickToShow\")(t,It);f(n.select(s),Zt?\"pointer\":\"\")}if(!s||a||!function(t,e,r){if(!r||r.length!==t._hoverdata.length)return!0;for(var n=r.length-1;n>=0;n--){var i=r[n],a=t._hoverdata[n];if(i.curveNumber!==a.curveNumber||String(i.pointNumber)!==String(a.pointNumber)||String(i.pointNumbers)!==String(a.pointNumbers))return!0}return!1}(t,0,Pt))return;Pt&&t.emit(\"plotly_unhover\",{event:e,points:Pt});t.emit(\"plotly_hover\",{event:e,points:t._hoverdata,xaxes:_,yaxes:w,xvals:V,yvals:H})}(t,e,r,a,s)}))},r.loneHover=function(t,e){var r=!0;Array.isArray(t)||(r=!1,t=[t]);var i=e.gd,a=j(i),o=U(i),s=I(t.map((function(t){var r=t._x0||t.x0||t.x||0,n=t._x1||t.x1||t.x||0,s=t._y0||t.y0||t.y||0,l=t._y1||t.y1||t.y||0,c=t.eventData;if(c){var u=Math.min(r,n),f=Math.max(r,n),h=Math.min(s,l),d=Math.max(s,l),m=t.trace;if(g.traceIs(m,\"gl3d\")){var v=i._fullLayout[m.scene]._scene.container,y=v.offsetLeft,x=v.offsetTop;u+=y,f+=y,h+=x,d+=x}c.bbox={x0:u+o,x1:f+o,y0:h+a,y1:d+a},e.inOut_bbox&&e.inOut_bbox.push(c.bbox)}else c=!1;return{color:t.color||p.defaultLine,x0:t.x0||t.x||0,x1:t.x1||t.x||0,y0:t.y0||t.y||0,y1:t.y1||t.y||0,xLabel:t.xLabel,yLabel:t.yLabel,zLabel:t.zLabel,text:t.text,name:t.name,idealAlign:t.idealAlign,borderColor:t.borderColor,fontFamily:t.fontFamily,fontSize:t.fontSize,fontColor:t.fontColor,nameLength:t.nameLength,textAlign:t.textAlign,trace:t.trace||{index:0,hoverinfo:\"\"},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:t.hovertemplate||!1,hovertemplateLabels:t.hovertemplateLabels||!1,eventData:c}})),{gd:i,hovermode:\"closest\",rotateLabels:!1,bgColor:e.bgColor||p.background,container:n.select(e.container),outerContainer:e.outerContainer||e.container}),l=0,c=0;return s.sort((function(t,e){return t.y0-e.y0})).each((function(t,r){var n=t.y0-t.by/2;t.offset=n-5<l?l-n+5:0,l=n+t.by+t.offset,r===e.anchorIndex&&(c=t.offset)})).each((function(t){t.offset-=c})),z(s,!1,i._fullLayout._invScaleX,i._fullLayout._invScaleY),r?s:s.node()};var P=/<extra>([\\s\\S]*)<\\/extra>/;function I(t,e){var r=e.gd,i=r._fullLayout,a=e.hovermode,c=e.rotateLabels,f=e.bgColor,d=e.container,m=e.outerContainer,w=e.commonLabelOpts||{};if(0===t.length)return[[]];var T=e.fontFamily||y.HOVERFONT,k=e.fontSize||y.HOVERFONTSIZE,A=t[0],E=A.xa,L=A.ya,P=a.charAt(0),I=A[P+\"Label\"],z=V(r,m),D=z.top,R=z.width,F=z.height,B=void 0!==I&&A.distance<=e.hoverdistance&&(\"x\"===a||\"y\"===a);if(B){var N,j,U=!0;for(N=0;N<t.length;N++)if(U&&void 0===t[N].zLabel&&(U=!1),j=t[N].hoverinfo||t[N].trace.hoverinfo){var H=Array.isArray(j)?j:j.split(\"+\");if(-1===H.indexOf(\"all\")&&-1===H.indexOf(a)){B=!1;break}}U&&(B=!1)}var q=d.selectAll(\"g.axistext\").data(B?[0]:[]);if(q.enter().append(\"g\").classed(\"axistext\",!0),q.exit().remove(),q.each((function(){var t=n.select(this),e=o.ensureSingle(t,\"path\",\"\",(function(t){t.style({\"stroke-width\":\"1px\"})})),l=o.ensureSingle(t,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),c=w.bgcolor||p.defaultLine,f=w.bordercolor||p.contrast(c),d=p.contrast(c),m={family:w.font.family||T,size:w.font.size||k,color:w.font.color||d};e.style({fill:c,stroke:f}),l.text(I).call(h.font,m).call(u.positionText,0,0).call(u.convertToTspans,r),t.attr(\"transform\",\"\");var g,v,y=V(r,l.node());if(\"x\"===a){var x=\"top\"===E.side?\"-\":\"\";l.attr(\"text-anchor\",\"middle\").call(u.positionText,0,\"top\"===E.side?D-y.bottom-M-S:D-y.top+M+S),g=E._offset+(A.x0+A.x1)/2,v=L._offset+(\"top\"===E.side?0:L._length);var b=y.width/2+S;g<b?(g=b,e.attr(\"d\",\"M-\"+(b-M)+\",0L-\"+(b-2*M)+\",\"+x+M+\"H\"+(S+y.width/2)+\"v\"+x+(2*S+y.height)+\"H-\"+b+\"V\"+x+M+\"Z\")):g>i.width-b?(g=i.width-b,e.attr(\"d\",\"M\"+(b-M)+\",0L\"+b+\",\"+x+M+\"v\"+x+(2*S+y.height)+\"H-\"+b+\"V\"+x+M+\"H\"+(b-2*M)+\"Z\")):e.attr(\"d\",\"M0,0L\"+M+\",\"+x+M+\"H\"+(S+y.width/2)+\"v\"+x+(2*S+y.height)+\"H-\"+(S+y.width/2)+\"V\"+x+M+\"H-\"+M+\"Z\")}else{var _,C,P;\"right\"===L.side?(_=\"start\",C=1,P=\"\",g=E._offset+E._length):(_=\"end\",C=-1,P=\"-\",g=E._offset),v=L._offset+(A.y0+A.y1)/2,l.attr(\"text-anchor\",_),e.attr(\"d\",\"M0,0L\"+P+M+\",\"+M+\"V\"+(S+y.height/2)+\"h\"+P+(2*S+y.width)+\"V-\"+(S+y.height/2)+\"H\"+P+M+\"V-\"+M+\"Z\");var O,z=y.height/2,R=D-y.top-z,F=\"clip\"+i._uid+\"commonlabel\"+L._id;if(g<y.width+2*S+M){O=\"M-\"+(M+S)+\"-\"+z+\"h-\"+(y.width-S)+\"V\"+z+\"h\"+(y.width-S)+\"Z\";var B=y.width-g+S;u.positionText(l,B,R),\"end\"===_&&l.selectAll(\"tspan\").each((function(){var t=n.select(this),e=h.tester.append(\"text\").text(t.text()).call(h.font,m),i=V(r,e.node());Math.round(i.width)<Math.round(y.width)&&t.attr(\"x\",B-i.width),e.remove()}))}else u.positionText(l,C*(S+M),R),O=null;var N=i._topclips.selectAll(\"#\"+F).data(O?[0]:[]);N.enter().append(\"clipPath\").attr(\"id\",F).append(\"path\"),N.exit().remove(),N.select(\"path\").attr(\"d\",O),h.setClipUrl(l,O?F:null,r)}t.attr(\"transform\",s(g,v))})),v.isUnifiedHover(a)){d.selectAll(\"g.hovertext\").remove();var G=t.filter((function(t){return\"none\"!==t.hoverinfo}));if(0===G.length)return;var Y=i.hoverlabel,W=Y.font,X={showlegend:!0,legend:{title:{text:I,font:W},font:W,bgcolor:Y.bgcolor,bordercolor:Y.bordercolor,borderwidth:1,tracegroupgap:7,traceorder:i.legend?i.legend.traceorder:void 0,orientation:\"v\"}},Z={font:W};x(X,Z,r._fullData);var J=Z.legend;J.entries=[];for(var K=0;K<G.length;K++){var Q=G[K];if(\"none\"!==Q.hoverinfo){var $=O(Q,!0,a,i,I),tt=$[0],et=$[1];Q.name=et,Q.text=\"\"!==et?et+\" : 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n=t(\"@plotly/d3\"),i=t(\"../../lib\"),a=t(\"../../plots/plots\"),o=t(\"../../registry\"),s=t(\"../../lib/events\"),l=t(\"../dragelement\"),c=t(\"../drawing\"),u=t(\"../color\"),f=t(\"../../lib/svg_text_utils\"),h=t(\"./handle_click\"),p=t(\"./constants\"),d=t(\"../../constants/alignment\"),m=d.LINE_SPACING,g=d.FROM_TL,v=d.FROM_BR,y=t(\"./get_legend_data\"),x=t(\"./style\"),b=t(\"./helpers\");function _(t,e,r,n,i){var a=r.data()[0][0].trace,l={event:i,node:r.node(),curveNumber:a.index,expandedIndex:a._expandedIndex,data:t.data,layout:t.layout,frames:t._transitionData._frames,config:t._context,fullData:t._fullData,fullLayout:t._fullLayout};if(a._group&&(l.group=a._group),o.traceIs(a,\"pie-like\")&&(l.label=r.datum()[0].label),!1!==s.triggerHandler(t,\"plotly_legendclick\",l))if(1===n)e._clickTimeout=setTimeout((function(){t._fullLayout&&h(r,t,n)}),t._context.doubleClickDelay);else 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rectangle\")},attr:\"dragmode\",val:\"drawrect\",icon:o.drawrect,click:f},u.drawcircle={name:\"drawcircle\",title:function(t){return c(t,\"Draw circle\")},attr:\"dragmode\",val:\"drawcircle\",icon:o.drawcircle,click:f},u.eraseshape={name:\"eraseshape\",title:function(t){return c(t,\"Erase active shape\")},icon:o.eraseshape,click:s},u.zoomIn2d={name:\"zoomIn2d\",_cat:\"zoomin\",title:function(t){return c(t,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:o.zoom_plus,click:f},u.zoomOut2d={name:\"zoomOut2d\",_cat:\"zoomout\",title:function(t){return c(t,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:o.zoom_minus,click:f},u.autoScale2d={name:\"autoScale2d\",_cat:\"autoscale\",title:function(t){return c(t,\"Autoscale\")},attr:\"zoom\",val:\"auto\",icon:o.autoscale,click:f},u.resetScale2d={name:\"resetScale2d\",_cat:\"resetscale\",title:function(t){return c(t,\"Reset axes\")},attr:\"zoom\",val:\"reset\",icon:o.home,click:f},u.hoverClosestCartesian={name:\"hoverClosestCartesian\",_cat:\"hoverclosest\",title:function(t){return c(t,\"Show closest data on hover\")},attr:\"hovermode\",val:\"closest\",icon:o.tooltip_basic,gravity:\"ne\",click:f},u.hoverCompareCartesian={name:\"hoverCompareCartesian\",_cat:\"hoverCompare\",title:function(t){return c(t,\"Compare data on hover\")},attr:\"hovermode\",val:function(t){return t._fullLayout._isHoriz?\"y\":\"x\"},icon:o.tooltip_compare,gravity:\"ne\",click:f},u.zoom3d={name:\"zoom3d\",_cat:\"zoom\",title:function(t){return c(t,\"Zoom\")},attr:\"scene.dragmode\",val:\"zoom\",icon:o.zoombox,click:h},u.pan3d={name:\"pan3d\",_cat:\"pan\",title:function(t){return c(t,\"Pan\")},attr:\"scene.dragmode\",val:\"pan\",icon:o.pan,click:h},u.orbitRotation={name:\"orbitRotation\",title:function(t){return c(t,\"Orbital rotation\")},attr:\"scene.dragmode\",val:\"orbit\",icon:o[\"3d_rotate\"],click:h},u.tableRotation={name:\"tableRotation\",title:function(t){return c(t,\"Turntable rotation\")},attr:\"scene.dragmode\",val:\"turntable\",icon:o[\"z-axis\"],click:h},u.resetCameraDefault3d={name:\"resetCameraDefault3d\",_cat:\"resetCameraDefault\",title:function(t){return c(t,\"Reset camera to default\")},attr:\"resetDefault\",icon:o.home,click:p},u.resetCameraLastSave3d={name:\"resetCameraLastSave3d\",_cat:\"resetCameraLastSave\",title:function(t){return c(t,\"Reset camera to last save\")},attr:\"resetLastSave\",icon:o.movie,click:p},u.hoverClosest3d={name:\"hoverClosest3d\",_cat:\"hoverclosest\",title:function(t){return c(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)}},u.zoomInGeo={name:\"zoomInGeo\",_cat:\"zoomin\",title:function(t){return c(t,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:o.zoom_plus,click:m},u.zoomOutGeo={name:\"zoomOutGeo\",_cat:\"zoomout\",title:function(t){return c(t,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:o.zoom_minus,click:m},u.resetGeo={name:\"resetGeo\",_cat:\"reset\",title:function(t){return c(t,\"Reset\")},attr:\"reset\",val:null,icon:o.autoscale,click:m},u.hoverClosestGeo={name:\"hoverClosestGeo\",_cat:\"hoverclosest\",title:function(t){return c(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:v},u.hoverClosestGl2d={name:\"hoverClosestGl2d\",_cat:\"hoverclosest\",title:function(t){return c(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:v},u.hoverClosestPie={name:\"hoverClosestPie\",_cat:\"hoverclosest\",title:function(t){return c(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:\"closest\",icon:o.tooltip_basic,gravity:\"ne\",click:v},u.resetViewSankey={name:\"resetSankeyGroup\",title:function(t){return c(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)}},u.toggleHover={name:\"toggleHover\",title:function(t){return c(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)}},u.resetViews={name:\"resetViews\",title:function(t){return c(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\")}},u.toggleSpikelines={name:\"toggleSpikelines\",title:function(t){return c(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))}},u.resetViewMapbox={name:\"resetViewMapbox\",_cat:\"resetView\",title:function(t){return c(t,\"Reset view\")},attr:\"reset\",icon:o.home,click:function(t){x(t,\"mapbox\")}},u.zoomInMapbox={name:\"zoomInMapbox\",_cat:\"zoomin\",title:function(t){return c(t,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:o.zoom_plus,click:y},u.zoomOutMapbox={name:\"zoomOutMapbox\",_cat:\"zoomout\",title:function(t){return c(t,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:o.zoom_minus,click:y}},{\"../../fonts/ploticon\":482,\"../../lib\":503,\"../../plots/cartesian/axis_ids\":558,\"../../plots/plots\":619,\"../../registry\":638,\"../shapes/draw\":450}],427:[function(t,e,r){\"use strict\";var n=t(\"./buttons\"),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(),e.exports={DRAW_MODES:a,backButtons:o,foreButtons:s}},{\"./buttons\":426}],428:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../color\"),a=t(\"../../plot_api/plot_template\"),o=t(\"./attributes\");e.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 c=i.contrast(i.rgb(e.modebar.bgcolor));l(\"color\",i.addOpacity(c,.3)),l(\"activecolor\",i.addOpacity(c,.7)),l(\"uirevision\",e.uirevision),l(\"add\"),l(\"remove\")}},{\"../../lib\":503,\"../../plot_api/plot_template\":543,\"../color\":366,\"./attributes\":425}],429:[function(t,e,r){\"use strict\";e.exports={moduleType:\"component\",name:\"modebar\",layoutAttributes:t(\"./attributes\"),supplyLayoutDefaults:t(\"./defaults\"),manage:t(\"./manage\")}},{\"./attributes\":425,\"./defaults\":428,\"./manage\":430}],430:[function(t,e,r){\"use strict\";var n=t(\"../../plots/cartesian/axis_ids\"),i=t(\"../../traces/scatter/subtypes\"),a=t(\"../../registry\"),o=t(\"../fx/helpers\").isUnifiedHover,s=t(\"./modebar\"),l=t(\"./buttons\"),c=t(\"./constants\").DRAW_MODES,u=t(\"../../lib\").extendDeep;e.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=u([],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 u(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(u(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(u(t,s.modeBarButtonsToAdd[e]))return!1;return!0}))),m=e._has(\"cartesian\"),g=e._has(\"gl3d\"),v=e._has(\"geo\"),y=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,c=0;c<d.length;c++){var u=d[c].toLowerCase();if(u===a||u===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=[],I=[],O=[],z=[];(m||b||y||x||_)+v+g+w+T+k>1?(I=[\"toggleHover\"],O=[\"resetViews\"]):v?(P=[\"zoomInGeo\",\"zoomOutGeo\"],I=[\"hoverClosestGeo\"],O=[\"resetGeo\"]):g?(I=[\"hoverClosest3d\"],O=[\"resetCameraDefault3d\",\"resetCameraLastSave3d\"]):w?(P=[\"zoomInMapbox\",\"zoomOutMapbox\"],I=[\"toggleHover\"],O=[\"resetViewMapbox\"]):b?I=[\"hoverClosestGl2d\"]:y?I=[\"hoverClosestPie\"]:A?(I=[\"hoverClosestCartesian\",\"hoverCompareCartesian\"],O=[\"resetViewSankey\"]):I=[\"toggleHover\"];m&&(I=[\"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)&&(I=[]);!m&&!b||M||(P=[\"zoomIn2d\",\"zoomOut2d\",\"autoScale2d\"],\"resetViews\"!==O[0]&&(O=[\"resetScale2d\"]));g?z=[\"zoom3d\",\"pan3d\",\"orbitRotation\",\"tableRotation\"]:(m||b)&&!M||_?z=[\"zoom2d\",\"pan2d\"]:w||v?z=[\"pan2d\"]:T&&(z=[\"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)&&z.push(\"select2d\",\"lasso2d\");var D=[],R=function(t){-1===D.indexOf(t)&&-1!==I.indexOf(t)&&D.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!==c.indexOf(N)?(e._has(\"mapbox\")||e._has(\"cartesian\"))&&z.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(z),L(P.concat(O)),L(D),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)}},{\"../../lib\":503,\"../../plots/cartesian/axis_ids\":558,\"../../registry\":638,\"../../traces/scatter/subtypes\":952,\"../fx/helpers\":402,\"./buttons\":426,\"./constants\":427,\"./modebar\":431}],431:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"fast-isnumeric\"),a=t(\"../../lib\"),o=t(\"../../fonts/ploticon\"),s=t(\"../../version\").version,l=new DOMParser;function c(t){this.container=t.container,this.element=document.createElement(\"div\"),this.update(t.graphInfo,t.buttons),this.container.appendChild(this.element)}var u=c.prototype;u.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),c=this.hasLogo!==r.displaylogo,u=this.locale!==r.locale;if(this.locale=r.locale,(l||c||u)&&(this.removeAllButtons(),this.updateButtons(e),r.watermark||r.displaylogo)){var 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()},u.updateButtons=function(t){var e=this;this.buttons=t,this.buttonElements=[],this.buttonsNames=[],this.buttons.forEach((function(t){var r=e.createGroup();t.forEach((function(t){var n=t.name;if(!n)throw new Error(\"must provide button 'name' in button config\");if(-1!==e.buttonsNames.indexOf(n))throw new Error(\"button name '\"+n+\"' is taken\");e.buttonsNames.push(n);var i=e.createButton(t);e.buttonElements.push(i),r.appendChild(i)})),e.element.appendChild(r)}))},u.createGroup=function(){var t=document.createElement(\"div\");return t.className=\"modebar-group\",t},u.createButton=function(t){var e=this,r=document.createElement(\"a\");r.setAttribute(\"rel\",\"tooltip\"),r.className=\"modebar-btn\";var i=t.title;void 0===i?i=t.name:\"function\"==typeof i&&(i=i(this.graphInfo)),(i||0===i)&&r.setAttribute(\"data-title\",i),void 0!==t.attr&&r.setAttribute(\"data-attr\",t.attr);var a=t.val;if(void 0!==a&&(\"function\"==typeof a&&(a=a(this.graphInfo)),r.setAttribute(\"data-val\",a)),\"function\"!=typeof t.click)throw new Error(\"must provide button 'click' function in button config\");r.addEventListener(\"click\",(function(r){t.click(e.graphInfo,r),e.updateActiveButton(r.currentTarget)})),r.setAttribute(\"data-toggle\",t.toggle||!1),t.toggle&&n.select(r).classed(\"active\",!0);var s=t.icon;return\"function\"==typeof s?r.appendChild(s()):r.appendChild(this.createIcon(s||o.question)),r.setAttribute(\"data-gravity\",t.gravity||\"n\"),r},u.createIcon=function(t){var e,r=i(t.height)?Number(t.height):t.ascent-t.descent,n=\"http://www.w3.org/2000/svg\";if(t.path){(e=document.createElementNS(n,\"svg\")).setAttribute(\"viewBox\",[0,0,t.width,r].join(\" \")),e.setAttribute(\"class\",\"icon\");var a=document.createElementNS(n,\"path\");a.setAttribute(\"d\",t.path),t.transform?a.setAttribute(\"transform\",t.transform):void 0!==t.ascent&&a.setAttribute(\"transform\",\"matrix(1 0 0 -1 0 \"+t.ascent+\")\"),e.appendChild(a)}t.svg&&(e=l.parseFromString(t.svg,\"application/xml\").childNodes[0]);return e.setAttribute(\"height\",\"1em\"),e.setAttribute(\"width\",\"1em\"),e},u.updateActiveButton=function(t){var e=this.graphInfo._fullLayout,r=void 0!==t?t.getAttribute(\"data-attr\"):null;this.buttonElements.forEach((function(t){var i=t.getAttribute(\"data-val\")||!0,o=t.getAttribute(\"data-attr\"),s=\"true\"===t.getAttribute(\"data-toggle\"),l=n.select(t);if(s)o===r&&l.classed(\"active\",!l.classed(\"active\"));else{var c=null===o?o:a.nestedProperty(e,o).get();l.classed(\"active\",c===i)}}))},u.hasButtons=function(t){var e=this.buttons;if(!e)return!1;if(t.length!==e.length)return!1;for(var r=0;r<t.length;++r){if(t[r].length!==e[r].length)return!1;for(var 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t.match(n.segmentRE).forEach((function(t){var a=e[t.charAt(0)].drawn;if(void 0!==a){var o=t.substr(1).match(n.paramRE);!o||o.length<a||r.push(i.cleanNumber(o[a]))}})),r},r.getDataToPixel=function(t,e,n,i){var a,o=t._fullLayout._size;if(e)if(\"domain\"===i)a=function(t){return e._length*(n?1-t:t)+e._offset};else{var s=r.shapePositionToRange(e);a=function(t){return e._offset+e.r2p(s(t,!0))},\"date\"===e.type&&(a=r.decodeDate(a))}else a=n?function(t){return o.t+o.h*(1-t)}:function(t){return o.l+o.w*t};return a},r.getPixelToData=function(t,e,n,i){var a,o=t._fullLayout._size;if(e)if(\"domain\"===i)a=function(t){var r=(t-e._offset)/e._length;return n?1-r:r};else{var s=r.rangeToShapePosition(e);a=function(t){return s(e.p2r(t-e._offset))}}else a=n?function(t){return 1-(t-o.t)/o.h}:function(t){return(t-o.l)/o.w};return a},r.roundPositionForSharpStrokeRendering=function(t,e){var r=1===Math.round(e%2),n=Math.round(t);return r?n+.5:n},r.makeOptionsAndPlotinfo=function(t,e){var 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n=t(\"../../plots/font_attributes\"),i=t(\"../../plots/pad_attributes\"),a=t(\"../../lib/extend\").extendDeepAll,o=t(\"../../plot_api/edit_types\").overrideAll,s=t(\"../../plots/animation_attributes\"),l=t(\"../../plot_api/plot_template\").templatedArray,c=t(\"./constants\"),u=l(\"step\",{visible:{valType:\"boolean\",dflt:!0},method:{valType:\"enumerated\",values:[\"restyle\",\"relayout\",\"animate\",\"update\",\"skip\"],dflt:\"restyle\"},args:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},label:{valType:\"string\"},value:{valType:\"string\"},execute:{valType:\"boolean\",dflt:!0}});e.exports=o(l(\"slider\",{visible:{valType:\"boolean\",dflt:!0},active:{valType:\"number\",min:0,dflt:0},steps:u,lenmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"fraction\"},len:{valType:\"number\",min:0,dflt:1},x:{valType:\"number\",min:-2,max:3,dflt:0},pad:a(i({editType:\"arraydraw\"}),{},{t:{dflt:20}}),xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\"},y:{valType:\"number\",min:-2,max:3,dflt:0},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"top\"},transition:{duration:{valType:\"number\",min:0,dflt:150},easing:{valType:\"enumerated\",values:s.transition.easing.values,dflt:\"cubic-in-out\"}},currentvalue:{visible:{valType:\"boolean\",dflt:!0},xanchor:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],dflt:\"left\"},offset:{valType:\"number\",dflt:10},prefix:{valType:\"string\"},suffix:{valType:\"string\"},font:n({})},font:n({}),activebgcolor:{valType:\"color\",dflt:c.gripBgActiveColor},bgcolor:{valType:\"color\",dflt:c.railBgColor},bordercolor:{valType:\"color\",dflt:c.railBorderColor},borderwidth:{valType:\"number\",min:0,dflt:c.railBorderWidth},ticklen:{valType:\"number\",min:0,dflt:c.tickLength},tickcolor:{valType:\"color\",dflt:c.tickColor},tickwidth:{valType:\"number\",min:0,dflt:1},minorticklen:{valType:\"number\",min:0,dflt:c.minorTickLength}}),\"arraydraw\",\"from-root\")},{\"../../lib/extend\":493,\"../../plot_api/edit_types\":536,\"../../plot_api/plot_template\":543,\"../../plots/animation_attributes\":548,\"../../plots/font_attributes\":585,\"../../plots/pad_attributes\":618,\"./constants\":460}],460:[function(t,e,r){\"use 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T={y:e.y,b:u.height*m[w],t:u.height*d[w]};\"fraction\"===e.lenmode?(T.l=0,T.xl=e.x-e.len*d[b],T.r=0,T.xr=e.x+e.len*m[b]):(T.x=e.x,T.l=u.outerLength*d[b],T.r=u.outerLength*m[b]),i.autoMargin(t,g(e),T)}function x(t,e,r){if(e.currentvalue.visible){var n,i,a=e._dims;switch(e.currentvalue.xanchor){case\"right\":n=a.inputAreaLength-f.currentValueInset-a.currentValueMaxWidth,i=\"left\";break;case\"center\":n=.5*a.inputAreaLength,i=\"middle\";break;default:n=f.currentValueInset,i=\"left\"}var l=s.ensureSingle(t,\"text\",f.labelClass,(function(t){t.attr({\"text-anchor\":i,\"data-notex\":1})})),u=e.currentvalue.prefix?e.currentvalue.prefix:\"\";if(\"string\"==typeof r)u+=r;else{var h=e.steps[e.active].label,d=e._gd._fullLayout._meta;d&&(h=s.templateString(h,d)),u+=h}e.currentvalue.suffix&&(u+=e.currentvalue.suffix),l.call(o.font,e.currentvalue.font).text(u).call(c.convertToTspans,e._gd);var m=c.lineCount(l),g=(a.currentValueMaxLines+1-m)*e.currentvalue.font.size*p;return 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t=s(),a=L(t,n.mouse(i)[0]);T(e,r,t,a,!1)}function h(){var t=s();t._dragging=!1,l.call(a.fill,t.bgcolor),o.on(\"mouseup\",null),o.on(\"mousemove\",null),o.on(\"touchend\",null),o.on(\"touchmove\",null),e.emit(\"plotly_sliderend\",{slider:t,step:t.steps[t.active]})}T(e,r,t,c,!0),t._dragging=!0,o.on(\"mousemove\",u),o.on(\"touchmove\",u),o.on(\"mouseup\",h),o.on(\"touchend\",h)}t.on(\"mousedown\",l),t.on(\"touchstart\",l)}function M(t,e){var r=t.selectAll(\"rect.\"+f.tickRectClass).data(e._visibleSteps),i=e._dims;r.enter().append(\"rect\").classed(f.tickRectClass,!0),r.exit().remove(),r.attr({width:e.tickwidth+\"px\",\"shape-rendering\":\"crispEdges\"}),r.each((function(t,r){var s=r%i.labelStride==0,l=n.select(this);l.attr({height:s?e.ticklen:e.minorticklen}).call(a.fill,e.tickcolor),o.setTranslate(l,E(e,r/(e._stepCount-1))-.5*e.tickwidth,(s?f.tickOffset:f.minorTickOffset)+i.currentValueTotalHeight)}))}function S(t,e,r){for(var 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n=t(\"@plotly/d3\"),i=t(\"d3-time-format\").utcFormat,a=t(\"d3-format\").format,o=t(\"fast-isnumeric\"),s=t(\"../constants/numerical\"),l=s.FP_SAFE,c=-l,u=s.BADNUM,f=e.exports={};f.adjustFormat=function(t){return!t||/^\\d[.]\\df/.test(t)||/[.]\\d%/.test(t)?t:\"0.f\"===t?\"~f\":/^\\d%/.test(t)?\"~%\":/^\\ds/.test(t)?\"~s\":!/^[~,.0$]/.test(t)&&/[&fps]/.test(t)?\"~\"+t:t};var h={};f.warnBadFormat=function(t){var e=String(t);h[e]||(h[e]=1,f.warn('encountered bad format: \"'+e+'\"'))},f.noFormat=function(t){return String(t)},f.numberFormat=function(t){var e;try{e=a(f.adjustFormat(t))}catch(e){return f.warnBadFormat(t),f.noFormat}return e},f.nestedProperty=t(\"./nested_property\"),f.keyedContainer=t(\"./keyed_container\"),f.relativeAttr=t(\"./relative_attr\"),f.isPlainObject=t(\"./is_plain_object\"),f.toLogRange=t(\"./to_log_range\"),f.relinkPrivateKeys=t(\"./relink_private\");var 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b=0;b<t.calcdata.length;b++)t.calcdata[b][0].trace=t._fullData[b];t._context.responsive?t._responsiveChartHandler||(t._responsiveChartHandler=function(){o.isHidden(t)||h.resize(t)},window.addEventListener(\"resize\",t._responsiveChartHandler)):o.clearResponsive(t);var T=o.extendFlat({},m._size),k=0;function A(){if(h.clearAutoMarginIds(t),w.drawMarginPushers(t),p.allowAutoMargin(t),m._has(\"pie\"))for(var e=t._fullData,r=0;r<e.length;r++){var n=e[r];\"pie\"===n.type&&n.automargin&&h.allowAutoMargin(t,\"pie.\"+n.uid+\".automargin\")}return h.doAutoMargin(t),h.previousPromises(t)}function S(){t._transitioning||(w.doAutoRangeAndConstraints(t),f&&p.saveRangeInitial(t),u.getComponentMethod(\"rangeslider\",\"calcAutorange\")(t))}var E=[h.previousPromises,function(){if(s)return r.addFrames(t,s)},function e(){for(var 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u=e._clips.selectAll(\".axesclip\").data(c,(function(t){return t.x._id+t.y._id}));u.enter().append(\"clipPath\").classed(\"axesclip\",!0).attr(\"id\",(function(t){return\"clip\"+e._uid+t.x._id+t.y._id})).append(\"rect\"),u.exit().remove(),u.each((function(t){n.select(this).select(\"rect\").attr({x:t.x._offset||0,y:t.y._offset||0,width:t.x._length||1,height:t.y._length||1})}))}},H.draw=function(t,e,r){var n=t._fullLayout;\"redraw\"===e&&n._paper.selectAll(\"g.subplot\").each((function(t){var e=t[0],r=n._plots[e];if(r){var i=r.xaxis,a=r.yaxis;r.xaxislayer.selectAll(\".\"+i._id+\"tick\").remove(),r.yaxislayer.selectAll(\".\"+a._id+\"tick\").remove(),r.xaxislayer.selectAll(\".\"+i._id+\"tick2\").remove(),r.yaxislayer.selectAll(\".\"+a._id+\"tick2\").remove(),r.xaxislayer.selectAll(\".\"+i._id+\"divider\").remove(),r.yaxislayer.selectAll(\".\"+a._id+\"divider\").remove(),r.minorGridlayer&&r.minorGridlayer.selectAll(\"path\").remove(),r.gridlayer&&r.gridlayer.selectAll(\"path\").remove(),r.zerolinelayer&&r.zerolinelayer.selectAll(\"path\").remove(),n._infolayer.select(\".g-\"+i._id+\"title\").remove(),n._infolayer.select(\".g-\"+a._id+\"title\").remove()}}));var i=e&&\"redraw\"!==e?e:H.listIds(t);return s.syncOrAsync(i.map((function(e){return function(){if(e){var n=H.getFromId(t,e),i=H.drawOne(t,n,r);return n._r=n.range.slice(),n._rl=s.simpleMap(n._r,n.r2l),i}}})))},H.drawOne=function(t,e,r){var n,i,l;r=r||{},e.setScale();var c=t._fullLayout,p=e._id,d=p.charAt(0),m=H.counterLetter(p),g=c._plots[e._mainSubplot];if(g){var v=g[d+\"axislayer\"],y=e._mainLinePosition,x=e._mainMirrorPosition,b=e._vals=H.calcTicks(e),_=[e.mirror,y,x].join(\"_\");for(n=0;n<b.length;n++)b[n].axInfo=_;e._selections={},e._tickAngles&&(e._prevTickAngles=e._tickAngles),e._tickAngles={},e._depth=null;var w={};if(e.visible){var T,k,A=H.makeTransTickFn(e),M=H.makeTransTickLabelFn(e),S=\"inside\"===e.ticks,E=\"outside\"===e.ticks;if(\"boundaries\"===e.tickson){var L=function(t,e){var r,n=[],i=function(t,e){var r=t.xbnd[e];null!==r&&n.push(s.extendFlat({},t,{x:r}))};if(e.length){for(r=0;r<e.length;r++)i(e[r],0);i(e[r-1],1)}return n}(0,b);k=H.clipEnds(e,L),T=S?k:L}else k=H.clipEnds(e,b),T=S&&\"period\"!==e.ticklabelmode?k:b;var C,P=e._gridVals=k,I=function(t,e){var r,n,i=[],a=e.length&&e[e.length-1].x<e[0].x,o=function(t,e){var r=t.xbnd[e];null!==r&&i.push(s.extendFlat({},t,{x:r}))};if(t.showdividers&&e.length){for(r=0;r<e.length;r++){var l=e[r];l.text2!==n&&o(l,a?1:0),n=l.text2}o(e[r-1],a?0:1)}return i}(e,b);if(!c._hasOnlyLargeSploms){var O=e._subplotsWith,z={};for(n=0;n<O.length;n++){i=O[n];var D=(l=c._plots[i])[m+\"axis\"],R=D._mainAxis._id;if(!z[R]){z[R]=1;var F=\"x\"===d?\"M0,\"+D._offset+\"v\"+D._length:\"M\"+D._offset+\",0h\"+D._length;H.drawGrid(t,e,{vals:P,counterAxis:D,layer:l.gridlayer.select(\".\"+p),minorLayer:l.minorGridlayer.select(\".\"+p),path:F,transFn:A}),H.drawZeroLine(t,e,{counterAxis:D,layer:l.zerolinelayer,path:F,transFn:A})}}}var B=H.getTickSigns(e),N=H.getTickSigns(e,\"minor\");if(e.ticks||e.minor&&e.minor.ticks){var j,q,G,Y,W=H.makeTickPath(e,y,B[2]),X=H.makeTickPath(e,y,N[2],{minor:!0});if(e._anchorAxis&&e.mirror&&!0!==e.mirror?(j=H.makeTickPath(e,x,B[3]),q=H.makeTickPath(e,x,N[3],{minor:!0}),G=W+j,Y=X+q):(j=\"\",q=\"\",G=W,Y=X),e.showdividers&&E&&\"boundaries\"===e.tickson){var Z={};for(n=0;n<I.length;n++)Z[I[n].x]=1;C=function(t){return Z[t.x]?j:G}}else C=function(t){return t.minor?Y:G}}if(H.drawTicks(t,e,{vals:T,layer:v,path:C,transFn:A}),\"allticks\"===e.mirror){var J=Object.keys(e._linepositions||{});for(n=0;n<J.length;n++){i=J[n],l=c._plots[i];var K=e._linepositions[i]||[],Q=K[0],$=K[1],tt=K[2],et=H.makeTickPath(e,Q,tt?B[0]:N[0],{minor:tt})+H.makeTickPath(e,$,tt?B[1]:N[1],{minor:tt});H.drawTicks(t,e,{vals:T,layer:l[d+\"axislayer\"],path:et,transFn:A})}}var rt=[];if(rt.push((function(){return H.drawLabels(t,e,{vals:b,layer:v,plotinfo:l,transFn:M,labelFns:H.makeLabelFns(e,y)})})),\"multicategory\"===e.type){var nt={x:2,y:10}[d];rt.push((function(){var r={x:\"height\",y:\"width\"}[d],n=at()[r]+nt+(e._tickAngles[p+\"tick\"]?e.tickfont.size*U:0);return H.drawLabels(t,e,{vals:vt(e,b),layer:v,cls:p+\"tick2\",repositionOnUpdate:!0,secondary:!0,transFn:A,labelFns:H.makeLabelFns(e,y+n*B[4])})})),rt.push((function(){return e._depth=B[4]*(at(\"tick2\")[e.side]-y),function(t,e,r){var n=e._id+\"divider\",i=r.vals,a=r.layer.selectAll(\"path.\"+n).data(i,xt);a.exit().remove(),a.enter().insert(\"path\",\":first-child\").classed(n,1).classed(\"crisp\",1).call(f.stroke,e.dividercolor).style(\"stroke-width\",h.crispRound(t,e.dividerwidth,1)+\"px\"),a.attr(\"transform\",r.transFn).attr(\"d\",r.path)}(t,e,{vals:I,layer:v,path:H.makeTickPath(e,y,B[4],{len:e._depth}),transFn:A})}))}else e.title.hasOwnProperty(\"standoff\")&&rt.push((function(){e._depth=B[4]*(at()[e.side]-y)}));var it=o.getComponentMethod(\"rangeslider\",\"isVisible\")(e);return rt.push((function(){var r,n,i,s,l=e.side.charAt(0),u=V[e.side].charAt(0),f=H.getPxPosition(t,e),h=E?e.ticklen:0;if((e.automargin||it)&&(\"multicategory\"===e.type?r=at(\"tick2\"):(r=at(),\"x\"===d&&\"b\"===l&&(e._depth=Math.max(r.width>0?r.bottom-f:0,h)))),e.automargin){n={x:0,y:0,r:0,l:0,t:0,b:0};var p=[0,1];if(\"x\"===d){if(\"b\"===l?n[l]=e._depth:(n[l]=e._depth=Math.max(r.width>0?f-r.top:0,h),p.reverse()),r.width>0){var g=r.right-(e._offset+e._length);g>0&&(n.xr=1,n.r=g);var v=e._offset-r.left;v>0&&(n.xl=0,n.l=v)}}else if(\"l\"===l?n[l]=e._depth=Math.max(r.height>0?f-r.left:0,h):(n[l]=e._depth=Math.max(r.height>0?r.right-f:0,h),p.reverse()),r.height>0){var y=r.bottom-(e._offset+e._length);y>0&&(n.yb=0,n.b=y);var x=e._offset-r.top;x>0&&(n.yt=1,n.t=x)}n[m]=\"free\"===e.anchor?e.position:e._anchorAxis.domain[p[0]],e.title.text!==c._dfltTitle[d]&&(n[l]+=bt(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]+=h),!0===e.mirror||\"ticks\"===e.mirror?i[m]=e._anchorAxis.domain[p[1]]:\"all\"!==e.mirror&&\"allticks\"!==e.mirror||(i[m]=[e._counterDomainMin,e._counterDomainMax][p[1]]))}it&&(s=o.getComponentMethod(\"rangeslider\",\"autoMarginOpts\")(t,e)),a.autoMargin(t,Tt(e),n),a.autoMargin(t,kt(e),i),a.autoMargin(t,At(e),s)})),r.skipTitle||it&&\"bottom\"===e.side||rt.push((function(){return function(t,e){var r,n=t._fullLayout,i=e._id,a=i.charAt(0),o=e.title.font.size;if(e.title.hasOwnProperty(\"standoff\"))r=e._depth+e.title.standoff+bt(e);else{var s=Pt(e);if(\"multicategory\"===e.type)r=e._depth;else{var l=1.5*o;s&&(l=.5*o,\"outside\"===e.ticks&&(l+=e.ticklen)),r=10+l+(e.linewidth?e.linewidth-1:0)}s||(r+=\"x\"===a?\"top\"===e.side?o*(e.showticklabels?1:0):o*(e.showticklabels?1.5:.5):\"right\"===e.side?o*(e.showticklabels?1:.5):o*(e.showticklabels?.5:0))}var c,f,p,d,m=H.getPxPosition(t,e);\"x\"===a?(f=e._offset+e._length/2,p=\"top\"===e.side?m-r:m+r):(p=e._offset+e._length/2,f=\"right\"===e.side?m+r:m-r,c={rotate:\"-90\",offset:0});if(\"multicategory\"!==e.type){var g=e._selections[e._id+\"tick\"];if(d={selection:g,side:e.side},g&&g.node()&&g.node().parentNode){var v=h.getTranslate(g.node().parentNode);d.offsetLeft=v.x,d.offsetTop=v.y}e.title.hasOwnProperty(\"standoff\")&&(d.pad=0)}return u.draw(t,i+\"title\",{propContainer:e,propName:e._name+\".title.text\",placeholder:n._dfltTitle[a],avoid:d,transform:c,attributes:{x:f,y:p,\"text-anchor\":\"middle\"}})}(t,e)})),s.syncOrAsync(rt)}}function at(t){var r=p+(t||\"tick\");return w[r]||(w[r]=function(t,e){var r,n,i,a;t._selections[e].size()?(r=1/0,n=-1/0,i=1/0,a=-1/0,t._selections[e].each((function(){var t=wt(this),e=h.bBox(t.node().parentNode);r=Math.min(r,e.top),n=Math.max(n,e.bottom),i=Math.min(i,e.left),a=Math.max(a,e.right)}))):(r=0,n=0,i=0,a=0);return{top:r,bottom:n,left:i,right:a,height:n-r,width:a-i}}(e,r)),w[r]}},H.getTickSigns=function(t,e){var r=t._id.charAt(0),n={x:\"top\",y:\"right\"}[r],i=t.side===n?1:-1,a=[-1,1,i,-i];return\"inside\"!==(e?(t.minor||{}).ticks:t.ticks)==(\"x\"===r)&&(a=a.map((function(t){return-t}))),t.side&&a.push({l:-1,t:-1,r:1,b:1}[t.side.charAt(0)]),a},H.makeTransTickFn=function(t){return\"x\"===t._id.charAt(0)?function(e){return l(t._offset+t.l2p(e.x),0)}:function(e){return l(0,t._offset+t.l2p(e.x))}},H.makeTransTickLabelFn=function(t){var e=function(t){var e=t.ticklabelposition||\"\",r=function(t){return-1!==e.indexOf(t)},n=r(\"top\"),i=r(\"left\"),a=r(\"right\"),o=r(\"bottom\"),s=r(\"inside\"),l=o||i||n||a;if(!l&&!s)return[0,0];var c=t.side,u=l?(t.tickwidth||0)/2:0,f=3,h=t.tickfont?t.tickfont.size:12;(o||n)&&(u+=h*j,f+=(t.linewidth||0)/2);(i||a)&&(u+=(t.linewidth||0)/2,f+=3);s&&\"top\"===c&&(f-=h*(1-j));(i||n)&&(u=-u);\"bottom\"!==c&&\"right\"!==c||(f=-f);return[l?u:0,s?f:0]}(t),r=e[0],n=e[1];return\"x\"===t._id.charAt(0)?function(e){return l(r+t._offset+t.l2p(yt(e)),n)}:function(e){return l(n,r+t._offset+t.l2p(yt(e)))}},H.makeTickPath=function(t,e,r,n){n||(n={});var i=n.minor;if(i&&!t.minor)return\"\";var a=void 0!==n.len?n.len:i?t.minor.ticklen:t.ticklen,o=t._id.charAt(0),s=(t.linewidth||1)/2;return\"x\"===o?\"M0,\"+(e+s*r)+\"v\"+a*r:\"M\"+(e+s*r)+\",0h\"+a*r},H.makeLabelFns=function(t,e,r){var n=t.ticklabelposition||\"\",a=function(t){return-1!==n.indexOf(t)},o=a(\"top\"),l=a(\"left\"),c=a(\"right\"),u=a(\"bottom\")||l||o||c,f=a(\"inside\"),h=\"inside\"===n&&\"inside\"===t.ticks||!f&&\"outside\"===t.ticks&&\"boundaries\"!==t.tickson,p=0,d=0,m=h?t.ticklen:0;if(f?m*=-1:u&&(m=0),h&&(p+=m,r)){var g=s.deg2rad(r);p=m*Math.cos(g)+1,d=m*Math.sin(g)}t.showticklabels&&(h||t.showline)&&(p+=.2*t.tickfont.size);var v,y,x,b,_,w={labelStandoff:p+=(t.linewidth||1)/2*(f?-1:1),labelShift:d},T=0,k=t.side,A=t._id.charAt(0),M=t.tickangle;if(\"x\"===A)b=(_=!f&&\"bottom\"===k||f&&\"top\"===k)?1:-1,f&&(b*=-1),v=d*b,y=e+p*b,x=_?1:-.2,90===Math.abs(M)&&(f?x+=N:x=-90===M&&\"bottom\"===k?j:90===M&&\"top\"===k?N:.5,T=N/2*(M/90)),w.xFn=function(t){return t.dx+v+T*t.fontSize},w.yFn=function(t){return t.dy+y+t.fontSize*x},w.anchorFn=function(t,e){if(u){if(l)return\"end\";if(c)return\"start\"}return i(e)&&0!==e&&180!==e?e*b<0!==f?\"end\":\"start\":\"middle\"},w.heightFn=function(e,r,n){return r<-60||r>60?-.5*n:\"top\"===t.side!==f?-n:0};else if(\"y\"===A){if(b=(_=!f&&\"left\"===k||f&&\"right\"===k)?1:-1,f&&(b*=-1),v=p,y=d*b,x=0,f||90!==Math.abs(M)||(x=-90===M&&\"left\"===k||90===M&&\"right\"===k?j:.5),f){var S=i(M)?+M:0;if(0!==S){var E=s.deg2rad(S);T=Math.abs(Math.sin(E))*j*b,x=0}}w.xFn=function(t){return t.dx+e-(v+t.fontSize*x)*b+T*t.fontSize},w.yFn=function(t){return t.dy+y+t.fontSize*N},w.anchorFn=function(t,e){return i(e)&&90===Math.abs(e)?\"middle\":_?\"end\":\"start\"},w.heightFn=function(e,r,n){return\"right\"===t.side&&(r*=-1),r<-30?-n:r<30?-.5*n:0}}return w},H.drawTicks=function(t,e,r){r=r||{};var i=e._id+\"tick\",a=[].concat(e.minor&&e.minor.ticks?r.vals.filter((function(t){return t.minor&&!t.noTick})):[]).concat(e.ticks?r.vals.filter((function(t){return!t.minor&&!t.noTick})):[]),o=r.layer.selectAll(\"path.\"+i).data(a,xt);o.exit().remove(),o.enter().append(\"path\").classed(i,1).classed(\"ticks\",1).classed(\"crisp\",!1!==r.crisp).each((function(t){return f.stroke(n.select(this),t.minor?e.minor.tickcolor:e.tickcolor)})).style(\"stroke-width\",(function(r){return h.crispRound(t,r.minor?e.minor.tickwidth:e.tickwidth,1)+\"px\"})).attr(\"d\",r.path).style(\"display\",null),It(e,[R]),o.attr(\"transform\",r.transFn)},H.drawGrid=function(t,e,r){r=r||{};var i=e._id+\"grid\",a=e.minor&&e.minor.showgrid,o=a?r.vals.filter((function(t){return t.minor})):[],s=e.showgrid?r.vals.filter((function(t){return!t.minor})):[],l=r.counterAxis;if(l&&H.shouldShowZeroLine(t,e,l))for(var c=\"array\"===e.tickmode,u=0;u<s.length;u++){var p=s[u].x;if(c?!p:Math.abs(p)<e.dtick/100){if(s=s.slice(0,u).concat(s.slice(u+1)),!c)break;u--}}e._gw=h.crispRound(t,e.gridwidth,1);for(var d=a?h.crispRound(t,e.minor.gridwidth,1):0,m=r.layer,g=r.minorLayer,v=1;v>=0;v--){var y=v?m:g;if(y){var x=y.selectAll(\"path.\"+i).data(v?s:o,xt);x.exit().remove(),x.enter().append(\"path\").classed(i,1).classed(\"crisp\",!1!==r.crisp),x.attr(\"transform\",r.transFn).attr(\"d\",r.path).each((function(t){return f.stroke(n.select(this),t.minor?e.minor.gridcolor:e.gridcolor||\"#ddd\")})).style(\"stroke-dasharray\",(function(t){return h.dashStyle(t.minor?e.minor.griddash:e.griddash,t.minor?e.minor.gridwidth:e.gridwidth)})).style(\"stroke-width\",(function(t){return(t.minor?d:e._gw)+\"px\"})).style(\"display\",null),\"function\"==typeof r.path&&x.attr(\"d\",r.path)}}It(e,[z,D])},H.drawZeroLine=function(t,e,r){r=r||r;var n=e._id+\"zl\",i=H.shouldShowZeroLine(t,e,r.counterAxis),a=r.layer.selectAll(\"path.\"+n).data(i?[{x:0,id:e._id}]:[]);a.exit().remove(),a.enter().append(\"path\").classed(n,1).classed(\"zl\",1).classed(\"crisp\",!1!==r.crisp).each((function(){r.layer.selectAll(\"path\").sort((function(t,e){return Y(t.id,e.id)}))})),a.attr(\"transform\",r.transFn).attr(\"d\",r.path).call(f.stroke,e.zerolinecolor||f.defaultLine).style(\"stroke-width\",h.crispRound(t,e.zerolinewidth,e._gw||1)+\"px\").style(\"display\",null),It(e,[O])},H.drawLabels=function(t,e,r){r=r||{};var a=t._fullLayout,o=e._id,u=o.charAt(0),f=r.cls||o+\"tick\",p=r.vals.filter((function(t){return t.text})),d=r.labelFns,m=r.secondary?0:e.tickangle,g=(e._prevTickAngles||{})[f],v=r.layer.selectAll(\"g.\"+f).data(e.showticklabels?p:[],xt),y=[];function x(t,a){t.each((function(t){var o=n.select(this),s=o.select(\".text-math-group\"),u=d.anchorFn(t,a),f=r.transFn.call(o.node(),t)+(i(a)&&0!=+a?\" rotate(\"+a+\",\"+d.xFn(t)+\",\"+(d.yFn(t)-t.fontSize/2)+\")\":\"\"),p=c.lineCount(o),m=U*t.fontSize,g=d.heightFn(t,i(a)?+a:0,(p-1)*m);if(g&&(f+=l(0,g)),s.empty()){var v=o.select(\"text\");v.attr({transform:f,\"text-anchor\":u}),v.style(\"opacity\",1),e._adjustTickLabelsOverflow&&e._adjustTickLabelsOverflow()}else{var y=h.bBox(s.node()).width*{end:-.5,start:.5}[u];s.attr(\"transform\",f+l(y,0))}}))}v.enter().append(\"g\").classed(f,1).append(\"text\").attr(\"text-anchor\",\"middle\").each((function(e){var r=n.select(this),i=t._promises.length;r.call(c.positionText,d.xFn(e),d.yFn(e)).call(h.font,e.font,e.fontSize,e.fontColor).text(e.text).call(c.convertToTspans,t),t._promises[i]?y.push(t._promises.pop().then((function(){x(r,m)}))):x(r,m)})),It(e,[F]),v.exit().remove(),r.repositionOnUpdate&&v.each((function(t){n.select(this).select(\"text\").call(c.positionText,d.xFn(t),d.yFn(t))})),e._adjustTickLabelsOverflow=function(){var r=e.ticklabeloverflow;if(r&&\"allow\"!==r){var i=-1!==r.indexOf(\"hide\"),o=\"x\"===e._id.charAt(0),l=0,c=o?t._fullLayout.width:t._fullLayout.height;if(-1!==r.indexOf(\"domain\")){var u=s.simpleMap(e.range,e.r2l);l=e.l2p(u[0])+e._offset,c=e.l2p(u[1])+e._offset}var f=Math.min(l,c),p=Math.max(l,c),d=e.side,m=1/0,g=-1/0;for(var y in v.each((function(t){var 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o=\"tick\"===t.K&&\"text\"===t.L&&\"period\"===e.ticklabelmode,s=a._plots[e._mainSubplot];(t.K===O.K?s.zerolinelayer.selectAll(\".\"+e._id+\"zl\"):t.K===D.K?s.minorGridlayer.selectAll(\".\"+e._id):t.K===z.K?s.gridlayer.selectAll(\".\"+e._id):s[e._id.charAt(0)+\"axislayer\"]).each((function(){var a=n.select(this);t.L&&(a=a.selectAll(t.L)),a.each((function(a){var s=e.l2p(o?yt(a):a.x)+e._offset,l=n.select(this);s<e[\"_visibleLabelMax_\"+r._id]&&s>e[\"_visibleLabelMin_\"+r._id]?l.style(\"display\",\"none\"):\"tick\"!==t.K||i||l.style(\"display\",null)}))}))}))}))},x(v,g+1?g:m);var b=null;e._selections&&(e._selections[f]=v);var _=[function(){return y.length&&Promise.all(y)}];e.automargin&&a._redrawFromAutoMarginCount&&90===g?(b=90,_.push((function(){x(v,g)}))):_.push((function(){if(x(v,m),p.length&&\"x\"===u&&!i(m)&&(\"log\"!==e.type||\"D\"!==String(e.dtick).charAt(0))){b=0;var t,n=0,a=[];if(v.each((function(t){n=Math.max(n,t.fontSize);var 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n=t(\"fast-isnumeric\"),i=t(\"../../registry\"),a=t(\"../../lib\"),o=t(\"../../plot_api/plot_template\"),s=t(\"../array_container_defaults\"),l=t(\"./layout_attributes\"),c=t(\"./tick_value_defaults\"),u=t(\"./tick_mark_defaults\"),f=t(\"./tick_label_defaults\"),h=t(\"./prefix_suffix_defaults\"),p=t(\"./category_order_defaults\"),d=t(\"./line_grid_defaults\"),m=t(\"./set_convert\"),g=t(\"./constants\").WEEKDAY_PATTERN,v=t(\"./constants\").HOUR_PATTERN;function y(t,e,r){function i(r,n){return a.coerce(t,e,l.rangebreaks,r,n)}if(i(\"enabled\")){var o=i(\"bounds\");if(o&&o.length>=2){var s,c,u=\"\";if(2===o.length)for(s=0;s<2;s++)if(c=b(o[s])){u=g;break}var f=i(\"pattern\",u);if(f===g)for(s=0;s<2;s++)(c=b(o[s]))&&(e.bounds[s]=o[s]=c-1);if(f)for(s=0;s<2;s++)switch(c=o[s],f){case g:if(!n(c))return void(e.enabled=!1);if((c=+c)!==Math.floor(c)||c<0||c>=7)return void(e.enabled=!1);e.bounds[s]=o[s]=c;break;case v:if(!n(c))return void(e.enabled=!1);if((c=+c)<0||c>24)return 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a=Pt.dragmode,s=t._fullLayout.dragmode;s!==a&&(Pt.dragmode=s),yt(),pt=t._fullLayout._invScaleX,dt=t._fullLayout._invScaleY,ot||(gt?e.shiftKey?\"pan\"===s?s=\"zoom\":y(s)||(s=\"pan\"):e.ctrlKey&&(s=\"pan\"):s=\"pan\"),x(s)?Pt.minDrag=1:Pt.minDrag=void 0,y(s)?(Pt.xaxes=J,Pt.yaxes=K,A(e,r,n,Pt,s)):(Pt.clickFn=Ot,y(a)&&It(),ot||(\"zoom\"===s?(Pt.moveFn=zt,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(mt,kt,Q,$,At=\"M0,0H\"+tt+\"V\"+et+\"H0V0\"),Lt=j(mt,Q,$)}(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;y(r)||(yt(),Yt([0,0,tt,et]),Pt.moveFn(e.dx,e.dy))}}},g.init(Pt);var 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r,n,a,o,s=t._fullLayout,c=s._plots,u=s._subplots.cartesian;if(ut&&l.subplotsRegistry.splom.drag(t),ct)for(r=0;r<u.length;r++)if(a=(n=c[u[r]]).xaxis,o=n.yaxis,n._scene){var f=i.simpleMap(a.range,a.r2l),p=i.simpleMap(o.range,o.r2l);n._scene.update({range:[f[0],p[0],f[1],p[1]]})}if((ut||ct)&&(_(t),w(t)),ft){var d=e[2]/I._length,g=e[3]/O._length;for(r=0;r<u.length;r++){a=(n=c[u[r]]).xaxis,o=n.yaxis;var y,x,b,T,k=(st||nt.isSubplotConstrained)&&!a.fixedrange&&V[a._id],A=(lt||nt.isSubplotConstrained)&&!o.fixedrange&&Z[o._id];if(k?(y=d,b=v||nt.isSubplotConstrained?e[0]:Zt(a,y)):nt.xaHash[a._id]?(y=d,b=e[0]*a._length/I._length):nt.yaHash[a._id]?(y=g,b=\"ns\"===at?-e[1]*a._length/O._length:Zt(a,y,{n:\"top\",s:\"bottom\"}[at])):b=Xt(a,y=Wt(a,d,g)),A?(x=g,T=m||nt.isSubplotConstrained?e[1]:Zt(o,x)):nt.yaHash[o._id]?(x=g,T=e[1]*o._length/O._length):nt.xaHash[o._id]?(x=d,T=\"ew\"===it?-e[0]*o._length/I._length:Zt(o,x,{e:\"right\",w:\"left\"}[it])):T=Xt(o,x=Wt(o,d,g)),y||x){y||(y=1),x||(x=1);var M=a._offset-b/y,S=o._offset-T/x;n.clipRect.call(h.setTranslate,b,T).call(h.setScale,y,x),n.plot.call(h.setTranslate,M,S).call(h.setScale,1/y,1/x),y===n.xScaleFactor&&x===n.yScaleFactor||(h.setPointGroupScale(n.zoomScalePts,y,x),h.setTextPointsScale(n.zoomScaleTxt,y,x)),h.hideOutsideRangePoints(n.clipOnAxisFalseTraces,n),n.xScaleFactor=y,n.yScaleFactor=x}}}}function Wt(t,e,r){return t.fixedrange?0:st&&rt.xaHash[t._id]?e:lt&&(rt.isSubplotConstrained?rt.xaHash:rt.yaHash)[t._id]?r:0}function Xt(t,e){return e?(t.range=t._r.slice(),E(t,e),Zt(t,e)):0}function Zt(t,e,r){return t._length*(1-e)*b[r||t.constraintoward||\"middle\"]}return m.length*v.length!=1&&W(bt,(function(e){if(t._context._scrollZoom.cartesian||t._fullLayout._enablescrollzoom){if(It(),t._transitioningWithDuration)return e.preventDefault(),void e.stopPropagation();yt(),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(v||(s=.5),n=0;n<J.length;n++)c(J[n],s,a);Vt(\"x\"),Ft[2]*=a,Ft[0]+=Ft[2]*s*(1/a-1)}if(lt){for(m||(l=.5),n=0;n<K.length;n++)c(K[n],l,a);Vt(\"y\"),Ft[3]*=a,Ft[1]+=Ft[3]*(1-l)*(1/a-1)}Yt(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 c(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:O,makeRectDragger:z,makeZoombox:N,makeCorners:j,updateZoombox:U,xyCorners:G,transitionZoombox:V,removeZoombox:H,showDoubleClickNotifier:q,attachWheelEventHandler:W}},{\"../../components/color\":366,\"../../components/dragelement\":385,\"../../components/dragelement/helpers\":384,\"../../components/drawing\":388,\"../../components/fx\":406,\"../../constants/alignment\":471,\"../../lib\":503,\"../../lib/clear_gl_canvases\":487,\"../../lib/setcursor\":524,\"../../lib/svg_text_utils\":529,\"../../plot_api/subroutines\":544,\"../../registry\":638,\"../plots\":619,\"./axes\":554,\"./axis_ids\":558,\"./constants\":561,\"./scale_zoom\":574,\"./select\":575,\"@plotly/d3\":58,\"has-passive-events\":229,tinycolor2:312}],564:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../components/fx\"),a=t(\"../../components/dragelement\"),o=t(\"../../lib/setcursor\"),s=t(\"./dragbox\").makeDragBox,l=t(\"./constants\").DRAGGERSIZE;r.initInteractions=function(t){var e=t._fullLayout;if(t._context.staticPlot)n.select(t).selectAll(\".drag\").remove();else if(e._has(\"cartesian\")||e._has(\"splom\")){Object.keys(e._plots||{}).sort((function(t,r){if((e._plots[t].mainplot&&!0)===(e._plots[r].mainplot&&!0)){var n=t.split(\"y\"),i=r.split(\"y\");return n[0]===i[0]?Number(n[1]||1)-Number(i[1]||1):Number(n[0]||1)-Number(i[0]||1)}return e._plots[t].mainplot?1:-1})).forEach((function(r){var n=e._plots[r],o=n.xaxis,c=n.yaxis;if(!n.mainplot){var u=s(t,n,o._offset,c._offset,o._length,c._length,\"ns\",\"ew\");u.onmousemove=function(e){t._fullLayout._rehover=function(){t._fullLayout._hoversubplot===r&&t._fullLayout._plots[r]&&i.hover(t,e,r)},i.hover(t,e,r),t._fullLayout._lasthover=u,t._fullLayout._hoversubplot=r},u.onmouseout=function(e){t._dragging||(t._fullLayout._hoversubplot=null,a.unhover(t,e))},t._context.showAxisDragHandles&&(s(t,n,o._offset-l,c._offset-l,l,l,\"n\",\"w\"),s(t,n,o._offset+o._length,c._offset-l,l,l,\"n\",\"e\"),s(t,n,o._offset-l,c._offset+c._length,l,l,\"s\",\"w\"),s(t,n,o._offset+o._length,c._offset+c._length,l,l,\"s\",\"e\"))}if(t._context.showAxisDragHandles){if(r===o._mainSubplot){var f=o._mainLinePosition;\"top\"===o.side&&(f-=l),s(t,n,o._offset+.1*o._length,f,.8*o._length,l,\"\",\"ew\"),s(t,n,o._offset,f,.1*o._length,l,\"\",\"w\"),s(t,n,o._offset+.9*o._length,f,.1*o._length,l,\"\",\"e\")}if(r===c._mainSubplot){var h=c._mainLinePosition;\"right\"!==c.side&&(h-=l),s(t,n,h,c._offset+.1*c._length,l,.8*c._length,\"ns\",\"\"),s(t,n,h,c._offset+.9*c._length,l,.1*c._length,\"s\",\"\"),s(t,n,h,c._offset,l,.1*c._length,\"n\",\"\")}}}));var o=e._hoverlayer.node();o.onmousemove=function(r){r.target=t._fullLayout._lasthover,i.hover(t,r,e._hoversubplot)},o.onclick=function(e){e.target=t._fullLayout._lasthover,i.click(t,e)},o.onmousedown=function(e){t._fullLayout._lasthover.onmousedown(e)},r.updateFx(t)}},r.updateFx=function(t){var e=t._fullLayout,r=\"pan\"===e.dragmode?\"move\":\"crosshair\";o(e._draggers,r)}},{\"../../components/dragelement\":385,\"../../components/fx\":406,\"../../lib/setcursor\":524,\"./constants\":561,\"./dragbox\":563,\"@plotly/d3\":58}],565:[function(t,e,r){\"use strict\";e.exports={clearOutlineControllers:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(\".outline-controllers\").remove()},clearSelect:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(\".select-outline\").remove(),t._fullLayout._drawing=!1}}},{}],566:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").strTranslate;function i(t,e){switch(t.type){case\"log\":return t.p2d(e);case\"date\":return t.p2r(e,0,t.calendar);default:return t.p2r(e)}}e.exports={p2r:i,r2p:function(t,e){switch(t.type){case\"log\":return t.d2p(e);case\"date\":return t.r2p(e,0,t.calendar);default:return t.r2p(e)}},axValue:function(t){var e=\"y\"===t._id.charAt(0)?1:0;return function(r){return i(t,r[e])}},getTransform:function(t){return n(t.xaxis._offset,t.yaxis._offset)}}},{\"../../lib\":503}],567:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),i=t(\"../../lib\"),a=t(\"./axis_ids\");e.exports=function(t){return function(e,r){var o=e[t];if(Array.isArray(o))for(var s=n.subplotsRegistry.cartesian,l=s.idRegex,c=r._subplots,u=c.xaxis,f=c.yaxis,h=c.cartesian,p=r._has(\"cartesian\")||r._has(\"gl2d\"),d=0;d<o.length;d++){var m=o[d];if(i.isPlainObject(m)){var g=a.cleanId(m.xref,\"x\",!1),v=a.cleanId(m.yref,\"y\",!1),y=l.x.test(g),x=l.y.test(v);if(y||x){p||i.pushUnique(r._basePlotModules,s);var b=!1;y&&-1===u.indexOf(g)&&(u.push(g),b=!0),x&&-1===f.indexOf(v)&&(f.push(v),b=!0),b&&y&&x&&h.push(g+v)}}}}}},{\"../../lib\":503,\"../../registry\":638,\"./axis_ids\":558}],568:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../registry\"),a=t(\"../../lib\"),o=t(\"../plots\"),s=t(\"../../components/drawing\"),l=t(\"../get_data\").getModuleCalcData,c=t(\"./axis_ids\"),u=t(\"./constants\"),f=t(\"../../constants/xmlns_namespaces\"),h=a.ensureSingle;function p(t,e,r){return a.ensureSingle(t,e,r,(function(t){t.datum(r)}))}function d(t,e,r,a,o){for(var c,f,h,p=u.traceLayerClasses,d=t._fullLayout,m=d._modules,g=[],v=[],y=0;y<m.length;y++){var x=(c=m[y]).name,b=i.modules[x].categories;if(b.svg){var _=c.layerName||x+\"layer\",w=c.plot;h=(f=l(r,w))[0],r=f[1],h.length&&g.push({i:p.indexOf(_),className:_,plotMethod:w,cdModule:h}),b.zoomScale&&v.push(\".\"+_)}}g.sort((function(t,e){return t.i-e.i}));var T=e.plot.selectAll(\"g.mlayer\").data(g,(function(t){return t.className}));if(T.enter().append(\"g\").attr(\"class\",(function(t){return t.className})).classed(\"mlayer\",!0).classed(\"rangeplot\",e.isRangePlot),T.exit().remove(),T.order(),T.each((function(r){var i=n.select(this),l=r.className;r.plotMethod(t,e,r.cdModule,i,a,o),-1===u.clipOnAxisFalseQuery.indexOf(\".\"+l)&&s.setClipUrl(i,e.layerClipId,t)})),d._has(\"scattergl\")&&(c=i.getModule(\"scattergl\"),h=l(r,c)[0],c.plot(t,e,h)),!t._context.staticPlot&&(e._hasClipOnAxisFalse&&(e.clipOnAxisFalseTraces=e.plot.selectAll(u.clipOnAxisFalseQuery.join(\",\")).selectAll(\".trace\")),v.length)){var k=e.plot.selectAll(v.join(\",\")).selectAll(\".trace\");e.zoomScalePts=k.selectAll(\"path.point\"),e.zoomScaleTxt=k.selectAll(\".textpoint\")}}function m(t,e){var r=e.plotgroup,n=e.id,i=u.layerValue2layerClass[e.xaxis.layer],a=u.layerValue2layerClass[e.yaxis.layer],o=t._fullLayout._hasOnlyLargeSploms;if(e.mainplot){var s=e.mainplotinfo,l=s.plotgroup,f=n+\"-x\",d=n+\"-y\";e.minorGridlayer=s.minorGridlayer,e.gridlayer=s.gridlayer,e.zerolinelayer=s.zerolinelayer,h(s.overlinesBelow,\"path\",f),h(s.overlinesBelow,\"path\",d),h(s.overaxesBelow,\"g\",f),h(s.overaxesBelow,\"g\",d),e.plot=h(s.overplot,\"g\",n),h(s.overlinesAbove,\"path\",f),h(s.overlinesAbove,\"path\",d),h(s.overaxesAbove,\"g\",f),h(s.overaxesAbove,\"g\",d),e.xlines=l.select(\".overlines-\"+i).select(\".\"+f),e.ylines=l.select(\".overlines-\"+a).select(\".\"+d),e.xaxislayer=l.select(\".overaxes-\"+i).select(\".\"+f),e.yaxislayer=l.select(\".overaxes-\"+a).select(\".\"+d)}else 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yt=b(\"rangeslider\",\"handleDefaults\"),xt=b(\"rangeselector\",\"handleDefaults\");for(y=0;y<j.length;y++)q=j[y],W=t[q],X=e[q],yt(t,e,q),\"date\"===X.type&&xt(W,X,e,U,X.calendar),K(\"fixedrange\");for(y=0;y<U.length;y++){q=U[y],W=t[q],X=e[q];var bt=e[m(X.anchor)];K(\"fixedrange\",b(\"rangeslider\",\"isVisible\")(bt))}h.handleDefaults(t,e,{axIds:rt.concat(it).sort(d.idSort),axHasImage:P})}},{\"../../components/color\":366,\"../../components/fx/helpers\":402,\"../../components/fx/hovermode_defaults\":405,\"../../lib\":503,\"../../plot_api/plot_template\":543,\"../../registry\":638,\"../layout_attributes\":610,\"./axis_defaults\":556,\"./axis_ids\":558,\"./constants\":561,\"./constraints\":562,\"./layout_attributes\":569,\"./position_defaults\":572,\"./type_defaults\":582}],571:[function(t,e,r){\"use strict\";var n=t(\"tinycolor2\").mix,i=t(\"../../components/color/attributes\"),a=t(\"../../lib\");e.exports=function(t,e,r,o){var s=(o=o||{}).dfltColor;function l(r,n){return a.coerce2(t,e,o.attributes,r,n)}var c=l(\"linecolor\",s),u=l(\"linewidth\");r(\"showline\",o.showLine||!!c||!!u)||(delete e.linecolor,delete e.linewidth);var f=l(\"gridcolor\",n(s,o.bgColor,o.blend||i.lightFraction).toRgbString()),h=l(\"gridwidth\"),p=l(\"griddash\");if(r(\"showgrid\",o.showGrid||!!f||!!h||!!p)||(delete e.gridcolor,delete e.gridwidth,delete e.griddash),o.hasMinor){var d=l(\"minor.gridcolor\",n(e.gridcolor,o.bgColor,67).toRgbString()),m=l(\"minor.gridwidth\",e.gridwidth||1),g=l(\"minor.griddash\",e.griddash||\"solid\");r(\"minor.showgrid\",!!d||!!m||!!g)||(delete e.minor.gridcolor,delete e.minor.gridwidth,delete e.minor.griddash)}if(!o.noZeroLine){var v=l(\"zerolinecolor\",s),y=l(\"zerolinewidth\");r(\"zeroline\",o.showGrid||!!v||!!y)||(delete e.zerolinecolor,delete e.zerolinewidth)}}},{\"../../components/color/attributes\":365,\"../../lib\":503,tinycolor2:312}],572:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib\");e.exports=function(t,e,r,a){var o,s,l,c,u=a.counterAxes||[],f=a.overlayableAxes||[],h=a.letter,p=a.grid;p&&(s=p._domains[h][p._axisMap[e._id]],o=p._anchors[e._id],s&&(l=p[h+\"side\"].split(\" \")[0],c=p.domain[h][\"right\"===l||\"top\"===l?1:0])),s=s||[0,1],o=o||(n(t.position)?\"free\":u[0]||\"free\"),l=l||(\"x\"===h?\"bottom\":\"left\"),c=c||0,\"free\"===i.coerce(t,e,{anchor:{valType:\"enumerated\",values:[\"free\"].concat(u),dflt:o}},\"anchor\")&&r(\"position\",c),i.coerce(t,e,{side:{valType:\"enumerated\",values:\"x\"===h?[\"bottom\",\"top\"]:[\"left\",\"right\"],dflt:l}},\"side\");var d=!1;if(f.length&&(d=i.coerce(t,e,{overlaying:{valType:\"enumerated\",values:[!1].concat(f),dflt:!1}},\"overlaying\")),!d){var m=r(\"domain\",s);m[0]>m[1]-1/4096&&(e.domain=s),i.noneOrAll(t.domain,e.domain,s)}return r(\"layer\"),e}},{\"../../lib\":503,\"fast-isnumeric\":190}],573:[function(t,e,r){\"use strict\";var n=t(\"./show_dflt\");e.exports=function(t,e,r,i,a){a||(a={});var o=a.tickSuffixDflt,s=n(t);r(\"tickprefix\")&&r(\"showtickprefix\",s),r(\"ticksuffix\",o)&&r(\"showticksuffix\",s)}},{\"./show_dflt\":577}],574:[function(t,e,r){\"use strict\";var n=t(\"../../constants/alignment\").FROM_BL;e.exports=function(t,e,r){void 0===r&&(r=n[t.constraintoward||\"center\"]);var i=[t.r2l(t.range[0]),t.r2l(t.range[1])],a=i[0]+(i[1]-i[0])*r;t.range=t._input.range=[t.l2r(a+(i[0]-a)*e),t.l2r(a+(i[1]-a)*e)],t.setScale()}},{\"../../constants/alignment\":471}],575:[function(t,e,r){\"use strict\";var n=t(\"polybooljs\"),i=t(\"../../registry\"),a=t(\"../../components/drawing\").dashStyle,o=t(\"../../components/color\"),s=t(\"../../components/fx\"),l=t(\"../../components/fx/helpers\").makeEventData,c=t(\"../../components/dragelement/helpers\"),u=c.freeMode,f=c.rectMode,h=c.drawMode,p=c.openMode,d=c.selectMode,m=t(\"../../components/shapes/draw_newshape/display_outlines\"),g=t(\"../../components/shapes/draw_newshape/helpers\").handleEllipse,v=t(\"../../components/shapes/draw_newshape/newshapes\"),y=t(\"../../lib\"),x=t(\"../../lib/polygon\"),b=t(\"../../lib/throttle\"),_=t(\"./axis_ids\").getFromId,w=t(\"../../lib/clear_gl_canvases\"),T=t(\"../../plot_api/subroutines\").redrawReglTraces,k=t(\"./constants\"),A=k.MINSELECT,M=x.filter,S=x.tester,E=t(\"./handle_outline\").clearSelect,L=t(\"./helpers\"),C=L.p2r,P=L.axValue,I=L.getTransform;function O(t,e,r,n,i,a,o){var s,l,c,u,f,h,d,g,v,y=e._hoverdata,x=e._fullLayout.clickmode.indexOf(\"event\")>-1,b=[];if(function(t){return 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e=[],r=z(t[0])?0:t[0][0][0],n=r,i=z(t[0])?0:t[0][0][1],a=i,o=0;o<t.length;o++)if(z(t[o]))e.push(D(t[o]));else{var s=x.tester(t[o]);s.subtract=t[o].subtract,e.push(s),r=Math.min(r,s.xmin),n=Math.max(n,s.xmax),i=Math.min(i,s.ymin),a=Math.max(a,s.ymax)}return{xmin:r,xmax:n,ymin:i,ymax:a,pts:[],contains:function(t,r,n,i){for(var a=!1,o=0;o<e.length;o++)e[o].contains(t,r,n,i)&&(a=!1===e[o].subtract);return a},isRect:!1,degenerate:!1}}function F(t,e,r){e._fullLayout._drawing=!1;var n=e._fullLayout,i=r.plotinfo,a=r.dragmode,o=n._lastSelectedSubplot&&n._lastSelectedSubplot===i.id,s=(t.shiftKey||t.altKey)&&!(h(a)&&p(a));o&&s&&i.selection&&i.selection.selectionDefs&&!r.selectionDefs?(r.selectionDefs=i.selection.selectionDefs,r.mergedPolygons=i.selection.mergedPolygons):s&&i.selection||B(r),o||(E(e),n._lastSelectedSubplot=i.id)}function B(t){var e=t.dragmode,r=t.plotinfo,n=t.gd;if(n._fullLayout._activeShapeIndex>=0&&n._fullLayout._deactivateShape(n),h(e)){var 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r=this.bounds,n=(e.framewidth||0)/2,i=r[0][0]-n,a=r[0][1]-n,o=r[1][0]-i+n,s=r[1][1]-a+n;h.setRect(this.clipRect,i,a,o,s),this.bgRect.call(h.setRect,i,a,o,s).call(f.fill,e.bgcolor),this.xaxis._offset=i,this.xaxis._length=o,this.yaxis._offset=a,this.yaxis._length=s},S.updateFx=function(t,e){var r=this,i=r.graphDiv,a=r.bgRect,o=t.dragmode,s=t.clickmode;if(!r.isStatic){var u;\"select\"===o?u=function(t,e){(t.range={})[r.id]=[h([e.xmin,e.ymin]),h([e.xmax,e.ymax])]}:\"lasso\"===o&&(u=function(t,e,n){(t.lassoPoints={})[r.id]=n.filtered.map(h)});var f={element:r.bgRect.node(),gd:i,plotinfo:{id:r.id,xaxis:r.xaxis,yaxis:r.yaxis,fillRangeItems:u},xaxes:[r.xaxis],yaxes:[r.yaxis],subplot:r.id,clickFn:function(t){2===t&&x(i)}};\"pan\"===o?(a.node().onmousedown=null,a.call(_(r,e)),a.on(\"dblclick.zoom\",(function(){var t=r.viewInitial,e={};for(var n in 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t=this,e=t.graphDiv,r=e._fullLayout,i=\"clip\"+r._uid+t.id;t.clipDef=r._clips.append(\"clipPath\").attr(\"id\",i),t.clipRect=t.clipDef.append(\"rect\"),t.framework=n.select(t.container).append(\"g\").attr(\"class\",\"geo \"+t.id).call(h.setClipUrl,i,e),t.project=function(e){var r=t.projection(e);return r?[r[0]-t.xaxis._offset,r[1]-t.yaxis._offset]:[null,null]},t.xaxis={_id:\"x\",c2p:function(e){return t.project(e)[0]}},t.yaxis={_id:\"y\",c2p:function(e){return t.project(e)[1]}},t.mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},m.setConvert(t.mockAxis,r)},S.saveViewInitial=function(t){var 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e=t._fullLayout,r=t.calcdata,i=e._subplots.geo,s=0;s<i.length;s++){var l=i[s],c=n(r,o,l),u=e[l]._subplot;u||(u=a({id:l,graphDiv:t,container:e._geolayer.node(),topojsonURL:t._context.topojsonURL,staticPlot:t._context.staticPlot}),e[l]._subplot=u),u.plot(c,e,t._promises)}},updateFx:function(t){for(var e=t._fullLayout,r=e._subplots.geo,n=0;n<r.length;n++){var i=e[r[n]];i._subplot.updateFx(e,i)}},clean:function(t,e,r,n){for(var i=n._subplots.geo||[],a=0;a<i.length;a++){var o=i[a],s=n[o]._subplot;!e[o]&&s&&(s.framework.remove(),s.clipDef.remove())}}}},{\"../../lib\":503,\"../../plots/get_data\":593,\"./geo\":588,\"./layout_attributes\":590,\"./layout_defaults\":591}],590:[function(t,e,r){\"use strict\";var n=t(\"../../components/color/attributes\"),i=t(\"../domain\").attributes,a=t(\"../../components/drawing/attributes\").dash,o=t(\"./constants\"),s=t(\"../../plot_api/edit_types\").overrideAll,l=t(\"../../lib/sort_object_keys\"),c={range:{valType:\"info_array\",items:[{valType:\"number\"},{valType:\"number\"}]},showgrid:{valType:\"boolean\",dflt:!1},tick0:{valType:\"number\",dflt:0},dtick:{valType:\"number\"},gridcolor:{valType:\"color\",dflt:n.lightLine},gridwidth:{valType:\"number\",min:0,dflt:1},griddash:a};(e.exports=s({domain:i({name:\"geo\"},{}),fitbounds:{valType:\"enumerated\",values:[!1,\"locations\",\"geojson\"],dflt:!1,editType:\"plot\"},resolution:{valType:\"enumerated\",values:[110,50],dflt:110,coerceNumber:!0},scope:{valType:\"enumerated\",values:l(o.scopeDefaults),dflt:\"world\"},projection:{type:{valType:\"enumerated\",values:l(o.projNames)},rotation:{lon:{valType:\"number\"},lat:{valType:\"number\"},roll:{valType:\"number\"}},tilt:{valType:\"number\",dflt:0},distance:{valType:\"number\",min:1.001,dflt:2},parallels:{valType:\"info_array\",items:[{valType:\"number\"},{valType:\"number\"}]},scale:{valType:\"number\",min:0,dflt:1}},center:{lon:{valType:\"number\"},lat:{valType:\"number\"}},visible:{valType:\"boolean\",dflt:!0},showcoastlines:{valType:\"boolean\"},coastlinecolor:{valType:\"color\",dflt:n.defaultLine},coastlinewidth:{valType:\"number\",min:0,dflt:1},showland:{valType:\"boolean\",dflt:!1},landcolor:{valType:\"color\",dflt:o.landColor},showocean:{valType:\"boolean\",dflt:!1},oceancolor:{valType:\"color\",dflt:o.waterColor},showlakes:{valType:\"boolean\",dflt:!1},lakecolor:{valType:\"color\",dflt:o.waterColor},showrivers:{valType:\"boolean\",dflt:!1},rivercolor:{valType:\"color\",dflt:o.waterColor},riverwidth:{valType:\"number\",min:0,dflt:1},showcountries:{valType:\"boolean\"},countrycolor:{valType:\"color\",dflt:n.defaultLine},countrywidth:{valType:\"number\",min:0,dflt:1},showsubunits:{valType:\"boolean\"},subunitcolor:{valType:\"color\",dflt:n.defaultLine},subunitwidth:{valType:\"number\",min:0,dflt:1},showframe:{valType:\"boolean\"},framecolor:{valType:\"color\",dflt:n.defaultLine},framewidth:{valType:\"number\",min:0,dflt:1},bgcolor:{valType:\"color\",dflt:n.background},lonaxis:c,lataxis:c},\"plot\",\"from-root\")).uirevision={valType:\"any\",editType:\"none\"}},{\"../../components/color/attributes\":365,\"../../components/drawing/attributes\":387,\"../../lib/sort_object_keys\":526,\"../../plot_api/edit_types\":536,\"../domain\":584,\"./constants\":587}],591:[function(t,e,r){\"use 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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;c=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!c,l=this.hasAxisInAltrPos(e,r)&&!c,a=r.mirror||!1,u=c?-1!==String(a).indexOf(\"all\"):!!a,f=c?\"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||u)&&(this.borderLineEnable[h]=r.showline),(l||u)&&(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 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n=t(\"../../plot_api/edit_types\").overrideAll,i=t(\"./scene2d\"),a=t(\"../layout_attributes\"),o=t(\"../../constants/xmlns_namespaces\"),s=t(\"../cartesian/constants\"),l=t(\"../cartesian\"),c=t(\"../../components/fx/layout_attributes\"),u=t(\"../get_data\").getSubplotData;r.name=\"gl2d\",r.attr=[\"xaxis\",\"yaxis\"],r.idRoot=[\"x\",\"y\"],r.idRegex=s.idRegex,r.attrRegex=s.attrRegex,r.attributes=t(\"../cartesian/attributes\"),r.supplyLayoutDefaults=function(t,e,r){e._has(\"cartesian\")||l.supplyLayoutDefaults(t,e,r)},r.layoutAttrOverrides=n(l.layoutAttributes,\"plot\",\"from-root\"),r.baseLayoutAttrOverrides=n({plot_bgcolor:a.plot_bgcolor,hoverlabel:c.hoverlabel},\"plot\",\"nested\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,a=0;a<n.length;a++){var o=n[a],s=e._plots[o],l=u(r,\"gl2d\",o),c=s._scene2d;void 0===c&&(c=new i({id:o,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=c),c.plot(l,t.calcdata,e,t.layout)}},r.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];if(s._scene2d){var c=u(t,\"gl2d\",o);0===c.length&&(s._scene2d.destroy(),delete n._plots[o])}}l.clean.apply(this,arguments)},r.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},r.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()}},r.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)}}},{\"../../components/fx/layout_attributes\":407,\"../../constants/xmlns_namespaces\":480,\"../../plot_api/edit_types\":536,\"../cartesian\":568,\"../cartesian/attributes\":552,\"../cartesian/constants\":561,\"../get_data\":593,\"../layout_attributes\":610,\"./scene2d\":597}],597:[function(t,e,r){\"use strict\";var n,i,a=t(\"../../registry\"),o=t(\"../../plots/cartesian/axes\"),s=t(\"../../components/fx\"),l=t(\"../../../stackgl_modules\").gl_plot2d,c=t(\"../../../stackgl_modules\").gl_spikes2d,u=t(\"../../../stackgl_modules\").gl_select_box,f=t(\"webgl-context\"),h=t(\"./convert\"),p=t(\"./camera\"),d=t(\"../../lib/show_no_webgl_msg\"),m=t(\"../cartesian/constraints\"),g=m.enforce,v=m.clean,y=t(\"../cartesian/autorange\").doAutoRange,x=t(\"../../components/dragelement/helpers\"),b=x.drawMode,_=x.selectMode,w=[\"xaxis\",\"yaxis\"],T=t(\"../cartesian/constants\").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=c(this.glplot),this.selectBox=u(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}e.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 c=0;c<4;++c){var u=a[4*(r*o+l)+c];a[4*(r*o+l)+c]=a[4*(r*s+l)+c],a[4*(r*s+l)+c]=u}var 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 c=n[r._name];c.range=s,c.autorange=r.autorange,i.lastInputTime=this.camera.lastInputTime,t.emit(\"plotly_relayout\",i)},A.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;a<n.length;++a)if(n[a].x!==i[a].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},A.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&a.getComponentMethod(\"annotations\",\"drawOne\")(t,r)}},A.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map((function(e){t[e].dispose(),delete t[e]})),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null}},A.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var i=r.width,a=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,i,a];var s={_fullLayout:{_axisConstraintGroups:r._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis,_size:r._size}};v(s,this.xaxis),v(s,this.yaxis);var l,c,u=r._size,f=this.xaxis.domain,h=this.yaxis.domain;for(o.viewBox=[u.l+f[0]*u.w,u.b+h[0]*u.h,i-u.r-(1-f[1])*u.w,a-u.t-(1-h[1])*u.h],this.mouseContainer.style.width=u.w*(f[1]-f[0])+\"px\",this.mouseContainer.style.height=u.h*(h[1]-h[0])+\"px\",this.mouseContainer.height=u.h*(h[1]-h[0]),this.mouseContainer.style.left=u.l+f[0]*u.w+\"px\",this.mouseContainer.style.top=u.t+(1-h[1])*u.h+\"px\",c=0;c<2;++c)(l=this[w[c]])._length=o.viewBox[c+2]-o.viewBox[c],y(this.graphDiv,l),l.setScale();g(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},A.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,i=t.r2l,a=e.r2l;return[i(r[0]),a(n[0]),i(r[1]),a(n[1])]},A.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,i=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[i(t[1]),i(t[3])]},A.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if((i=t[n]).uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){i=t[r];var l=e[r],c=this.traces[i.uid];c?c.update(i,l):(c=i._module.plot(this,i,l),this.traces[i.uid]=c)}this.glplot.objects.sort((function(t,e){return t._trace.index-e._trace.index}))},A.updateFx=function(t){_(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 c=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],u=0;u<2;u++)e.boxStart[u]===e.boxEnd[u]&&(c[u]=t.dataBox[u],c[u+2]=t.dataBox[u+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var 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 m=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),m.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,\"plotly_hover\");var g=this.fullData[m.trace.index]||{},v=m.pointIndex,y=s.castHoverinfo(g,i,v);if(y&&\"all\"!==y){var x=y.split(\"+\");-1===x.indexOf(\"x\")&&(m.traceCoord[0]=void 0),-1===x.indexOf(\"y\")&&(m.traceCoord[1]=void 0),-1===x.indexOf(\"z\")&&(m.traceCoord[2]=void 0),-1===x.indexOf(\"text\")&&(m.textLabel=void 0),-1===x.indexOf(\"name\")&&(m.name=void 0)}s.loneHover({x:m.screenCoord[0],y:m.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",m.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",m.traceCoord[1]),zLabel:m.traceCoord[2],text:m.textLabel,name:m.name,color:s.castHoverOption(g,v,\"bgcolor\")||m.color,borderColor:s.castHoverOption(g,v,\"bordercolor\"),fontFamily:s.castHoverOption(g,v,\"font.family\"),fontSize:s.castHoverOption(g,v,\"font.size\"),fontColor:s.castHoverOption(g,v,\"font.color\"),nameLength:s.castHoverOption(g,v,\"namelength\"),textAlign:s.castHoverOption(g,v,\"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}}},{\"../../../stackgl_modules\":1124,\"../../components/dragelement/helpers\":384,\"../../components/fx\":406,\"../../lib/show_no_webgl_msg\":525,\"../../plots/cartesian/axes\":554,\"../../registry\":638,\"../cartesian/autorange\":553,\"../cartesian/constants\":561,\"../cartesian/constraints\":562,\"./camera\":594,\"./convert\":595,\"webgl-context\":331}],598:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,i=t(\"../../components/fx/layout_attributes\"),a=t(\"./scene\"),o=t(\"../get_data\").getSubplotData,s=t(\"../../lib\"),l=t(\"../../constants/xmlns_namespaces\");r.name=\"gl3d\",r.attr=\"scene\",r.idRoot=\"scene\",r.idRegex=r.attrRegex=s.counterRegex(\"scene\"),r.attributes=t(\"./layout/attributes\"),r.layoutAttributes=t(\"./layout/layout_attributes\"),r.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},\"plot\",\"nested\"),r.supplyLayoutDefaults=t(\"./layout/defaults\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl3d,i=0;i<n.length;i++){var s=n[i],l=o(r,\"gl3d\",s),c=e[s],u=c.camera,f=c._scene;f||(f=new a({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:u},e),c._scene=f),f.viewInitial||(f.viewInitial={up:{x:u.up.x,y:u.up.y,z:u.up.z},eye:{x:u.eye.x,y:u.eye.y,z:u.eye.z},center:{x:u.center.x,y:u.center.y,z:u.center.z}}),f.plot(l,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=n._subplots.gl3d||[],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())}},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,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()}},r.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),\"scene\"+e}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=0;n<r.length;n++){e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}}},{\"../../components/fx/layout_attributes\":407,\"../../constants/xmlns_namespaces\":480,\"../../lib\":503,\"../../plot_api/edit_types\":536,\"../get_data\":593,\"./layout/attributes\":599,\"./layout/defaults\":603,\"./layout/layout_attributes\":604,\"./scene\":608}],599:[function(t,e,r){\"use strict\";e.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},{}],600:[function(t,e,r){\"use strict\";var n=t(\"../../../components/color\"),i=t(\"../../cartesian/layout_attributes\"),a=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../plot_api/edit_types\").overrideAll;e.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,rangemode:i.rangemode,range:a({},i.range,{items:[{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}}],anim:!1}),tickmode:i.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,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\")},{\"../../../components/color\":366,\"../../../lib/extend\":493,\"../../../plot_api/edit_types\":536,\"../../cartesian/layout_attributes\":569}],601:[function(t,e,r){\"use strict\";var n=t(\"tinycolor2\").mix,i=t(\"../../../lib\"),a=t(\"../../../plot_api/plot_template\"),o=t(\"./axis_attributes\"),s=t(\"../../cartesian/type_defaults\"),l=t(\"../../cartesian/axis_defaults\"),c=[\"xaxis\",\"yaxis\",\"zaxis\"];e.exports=function(t,e,r){var u,f;function h(t,e){return i.coerce(u,f,o,t,e)}for(var p=0;p<c.length;p++){var d=c[p];u=t[d]||{},(f=a.newContainer(e,d))._id=d[0]+r.scene,f._name=d,s(u,f,h,r),l(u,f,h,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelstep:!0,noTicklabelposition:!0,noTicklabeloverflow:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),h(\"gridcolor\",n(f.color,r.bgColor,13600/187).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\")}}},{\"../../../lib\":503,\"../../../plot_api/plot_template\":543,\"../../cartesian/axis_defaults\":556,\"../../cartesian/type_defaults\":582,\"./axis_attributes\":600,tinycolor2:312}],602:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),i=t(\"../../../lib\"),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=0;r<3;++r){var o=e[a[r]];o.visible?(this.labels[r]=t._meta?i.templateString(o.title.text,t._meta):o.title.text,\"font\"in o.title&&(o.title.font.color&&(this.labelColor[r]=n(o.title.font.color)),o.title.font.family&&(this.labelFont[r]=o.title.font.family),o.title.font.size&&(this.labelSize[r]=o.title.font.size)),\"showline\"in o&&(this.lineEnable[r]=o.showline),\"linecolor\"in o&&(this.lineColor[r]=n(o.linecolor)),\"linewidth\"in o&&(this.lineWidth[r]=o.linewidth),\"showgrid\"in o&&(this.gridEnable[r]=o.showgrid),\"gridcolor\"in o&&(this.gridColor[r]=n(o.gridcolor)),\"gridwidth\"in o&&(this.gridWidth[r]=o.gridwidth),\"log\"===o.type?this.zeroEnable[r]=!1:\"zeroline\"in o&&(this.zeroEnable[r]=o.zeroline),\"zerolinecolor\"in o&&(this.zeroLineColor[r]=n(o.zerolinecolor)),\"zerolinewidth\"in o&&(this.zeroLineWidth[r]=o.zerolinewidth),\"ticks\"in o&&o.ticks?this.lineTickEnable[r]=!0:this.lineTickEnable[r]=!1,\"ticklen\"in o&&(this.lineTickLength[r]=this._defaultLineTickLength[r]=o.ticklen),\"tickcolor\"in o&&(this.lineTickColor[r]=n(o.tickcolor)),\"tickwidth\"in o&&(this.lineTickWidth[r]=o.tickwidth),\"tickangle\"in o&&(this.tickAngle[r]=\"auto\"===o.tickangle?-3600:Math.PI*-o.tickangle/180),\"showticklabels\"in o&&(this.tickEnable[r]=o.showticklabels),\"tickfont\"in o&&(o.tickfont.color&&(this.tickColor[r]=n(o.tickfont.color)),o.tickfont.family&&(this.tickFont[r]=o.tickfont.family),o.tickfont.size&&(this.tickSize[r]=o.tickfont.size)),\"mirror\"in o?-1!==[\"ticks\",\"all\",\"allticks\"].indexOf(o.mirror)?(this.lineTickMirror[r]=!0,this.lineMirror[r]=!0):!0===o.mirror?(this.lineTickMirror[r]=!1,this.lineMirror[r]=!0):(this.lineTickMirror[r]=!1,this.lineMirror[r]=!1):this.lineMirror[r]=!1,\"showbackground\"in o&&!1!==o.showbackground?(this.backgroundEnable[r]=!0,this.backgroundColor[r]=n(o.backgroundcolor)):this.backgroundEnable[r]=!1):(this.tickEnable[r]=!1,this.labelEnable[r]=!1,this.lineEnable[r]=!1,this.lineTickEnable[r]=!1,this.gridEnable[r]=!1,this.zeroEnable[r]=!1,this.backgroundEnable[r]=!1)}},e.exports=function(t,e){var r=new o;return r.merge(t,e),r}},{\"../../../lib\":503,\"../../../lib/str2rgbarray\":528}],603:[function(t,e,r){\"use strict\";var n=t(\"../../../lib\"),i=t(\"../../../components/color\"),a=t(\"../../../registry\"),o=t(\"../../subplot_defaults\"),s=t(\"./axis_defaults\"),l=t(\"./layout_attributes\"),c=t(\"../../get_data\").getSubplotData;function u(t,e,r,n){for(var o=r(\"bgcolor\"),l=i.combine(o,n.paper_bgcolor),u=[\"up\",\"center\",\"eye\"],f=0;f<u.length;f++)r(\"camera.\"+u[f]+\".x\"),r(\"camera.\"+u[f]+\".y\"),r(\"camera.\"+u[f]+\".z\");r(\"camera.projection.type\");var h=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),p=r(\"aspectmode\",h?\"manual\":\"auto\");h||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\"manual\"===p&&(e.aspectmode=\"auto\"),t.aspectmode=e.aspectmode);var d=c(n.fullData,\"gl3d\",n.id);s(t,e,{font:n.font,scene:n.id,data:d,bgColor:l,calendar:n.calendar,autotypenumbersDflt:n.autotypenumbersDflt,fullLayout:n.fullLayout}),a.getComponentMethod(\"annotations3d\",\"handleDefaults\")(t,e,n);var m=n.getDfltFromLayout(\"dragmode\");if(!1!==m&&!m)if(m=\"orbit\",t.camera&&t.camera.up){var g=t.camera.up.x,v=t.camera.up.y,y=t.camera.up.z;0!==y&&(g&&v&&y?y/Math.sqrt(g*g+v*v+y*y)>.999&&(m=\"turntable\"):m=\"turntable\")}else m=\"turntable\";r(\"dragmode\",m),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}e.exports=function(t,e,r){var i=e._basePlotModules.length>1;o(t,e,r,{type:\"gl3d\",attributes:l,handleDefaults:u,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})}},{\"../../../components/color\":366,\"../../../lib\":503,\"../../../registry\":638,\"../../get_data\":593,\"../../subplot_defaults\":632,\"./axis_defaults\":601,\"./layout_attributes\":604}],604:[function(t,e,r){\"use strict\";var n=t(\"./axis_attributes\"),i=t(\"../../domain\").attributes,a=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../lib\").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\"}}e.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\"}}}},{\"../../../lib\":503,\"../../../lib/extend\":493,\"../../domain\":584,\"./axis_attributes\":600}],605:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),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)}},e.exports=function(t){var e=new a;return e.merge(t),e}},{\"../../../lib/str2rgbarray\":528}],606:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],c=0;c<3;++c){var u=s[a[c]];if(u._length=(r[c].hi-r[c].lo)*r[c].pixelsPerDataUnit/t.dataScale[c],Math.abs(u._length)===1/0||isNaN(u._length))l[c]=[];else{u._input_range=u.range.slice(),u.range[0]=r[c].lo/t.dataScale[c],u.range[1]=r[c].hi/t.dataScale[c],u._m=1/(t.dataScale[c]*r[c].pixelsPerDataUnit),u.range[0]===u.range[1]&&(u.range[0]-=1,u.range[1]+=1);var f=u.tickmode;if(\"auto\"===u.tickmode){u.tickmode=\"linear\";var h=u.nticks||i.constrain(u._length/40,4,9);n.autoTicks(u,Math.abs(u.range[1]-u.range[0])/h)}for(var p=n.calcTicks(u,{msUTC:!0}),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[c],\"date\"===u.type&&(p[d].text=p[d].text.replace(/\\<br\\>/g,\" \"));l[c]=p,u.tickmode=f}}e.ticks=l;for(c=0;c<3;++c){o[c]=.5*(t.glplot.bounds[0][c]+t.glplot.bounds[1][c]);for(d=0;d<2;++d)e.bounds[d][c]=t.glplot.bounds[d][c]}t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;e[r]=i}return e}(l)};var n=t(\"../../cartesian/axes\"),i=t(\"../../../lib\"),a=[\"xaxis\",\"yaxis\",\"zaxis\"],o=[0,0,0]},{\"../../../lib\":503,\"../../cartesian/axes\":554}],607:[function(t,e,r){\"use strict\";function n(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}e.exports=function(t,e){return n(t.projection,n(t.view,n(t.model,[e[0],e[1],e[2],1])))}},{}],608:[function(t,e,r){\"use strict\";var n,i,a=t(\"../../../stackgl_modules\").gl_plot3d,o=a.createCamera,s=a.createScene,l=t(\"webgl-context\"),c=t(\"has-passive-events\"),u=t(\"../../registry\"),f=t(\"../../lib\"),h=f.preserveDrawingBuffer(),p=t(\"../../plots/cartesian/axes\"),d=t(\"../../components/fx\"),m=t(\"../../lib/str2rgbarray\"),g=t(\"../../lib/show_no_webgl_msg\"),v=t(\"./project\"),y=t(\"./layout/convert\"),x=t(\"./layout/spikes\"),b=t(\"./layout/tick_marks\");function _(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=y(e,e[this.id]),this.spikeOptions=x(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=u.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=u.getComponentMethod(\"annotations3d\",\"draw\"),this.initializeGLPlot()}var w=_.prototype;w.prepareOptions=function(){var t={canvas:this.canvas,gl:this.gl,glOptions:{preserveDrawingBuffer:h,premultipliedAlpha:!0,antialias:!0},container:this.container,axes:this.axesOptions,spikes:this.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:this.camera,pixelRatio:this.pixelRatio};if(this.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\");t.gl=i,t.canvas=n}return t};var T=!0;w.tryCreatePlot=function(){var t=this.prepareOptions(),e=!0;try{this.glplot=s(t)}catch(r){if(this.staticMode||!T||h)e=!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=t.glOptions.preserveDrawingBuffer=!0,this.glplot=s(t)}catch(r){h=t.glOptions.preserveDrawingBuffer=!1,e=!1}}}return T=!1,e},w.initializeGLCamera=function(){var t=this.fullSceneLayout.camera,e=\"orthographic\"===t.projection.type;this.camera=o(this.container,{center:[t.center.x,t.center.y,t.center.z],eye:[t.eye.x,t.eye.y,t.eye.z],up:[t.up.x,t.up.y,t.up.z],_ortho:e,zoomMin:.01,zoomMax:100,mode:\"orbit\"})},w.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(\"wheel\",(function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}}),!!c&&{passive:!1}),t.glplot.canvas.addEventListener(\"mousemove\",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit(\"plotly_relayouting\",e)}})),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",(function(r){e&&e.emit&&e.emit(\"plotly_webglcontextlost\",{event:r,layer:t.id})}),!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},w.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 c=Object.keys(e.traces),u=null,h=e.glplot.selection,m=0;m<c.length;++m)\"skip\"!==(t=e.traces[c[m]]).data.hoverinfo&&t.handlePick(h)&&(u=t),t.setContourLevels&&t.setContourLevels();function g(t,r,n){var i=e.fullSceneLayout[t+\"axis\"];return\"log\"!==i.type&&(r=i.d2l(r)),p.hoverLabelText(i,r,n)}if(null!==u){var y=v(e.glplot.cameraParams,h.dataCoordinate);t=u.data;var x,_=r._fullData[t.index],w=h.index,T={xLabel:g(\"x\",h.traceCoordinate[0],t.xhoverformat),yLabel:g(\"y\",h.traceCoordinate[1],t.yhoverformat),zLabel:g(\"z\",h.traceCoordinate[2],t.zhoverformat)},k=d.castHoverinfo(_,e.fullLayout,w),A=(k||\"\").split(\"+\"),M=k&&\"all\"===k;_.hovertemplate||M||(-1===A.indexOf(\"x\")&&(T.xLabel=void 0),-1===A.indexOf(\"y\")&&(T.yLabel=void 0),-1===A.indexOf(\"z\")&&(T.zLabel=void 0),-1===A.indexOf(\"text\")&&(h.textLabel=void 0),-1===A.indexOf(\"name\")&&(u.name=void 0));var S=[];\"cone\"===t.type||\"streamtube\"===t.type?(T.uLabel=g(\"x\",h.traceCoordinate[3],t.uhoverformat),(M||-1!==A.indexOf(\"u\"))&&S.push(\"u: \"+T.uLabel),T.vLabel=g(\"y\",h.traceCoordinate[4],t.vhoverformat),(M||-1!==A.indexOf(\"v\"))&&S.push(\"v: \"+T.vLabel),T.wLabel=g(\"z\",h.traceCoordinate[5],t.whoverformat),(M||-1!==A.indexOf(\"w\"))&&S.push(\"w: \"+T.wLabel),T.normLabel=h.traceCoordinate[6].toPrecision(3),(M||-1!==A.indexOf(\"norm\"))&&S.push(\"norm: \"+T.normLabel),\"streamtube\"===t.type&&(T.divergenceLabel=h.traceCoordinate[7].toPrecision(3),(M||-1!==A.indexOf(\"divergence\"))&&S.push(\"divergence: \"+T.divergenceLabel)),h.textLabel&&S.push(h.textLabel),x=S.join(\"<br>\")):\"isosurface\"===t.type||\"volume\"===t.type?(T.valueLabel=p.hoverLabelText(e._mockAxis,e._mockAxis.d2l(h.traceCoordinate[3]),t.valuehoverformat),S.push(\"value: \"+T.valueLabel),h.textLabel&&S.push(h.textLabel),x=S.join(\"<br>\")):x=h.textLabel;var E={x:h.traceCoordinate[0],y:h.traceCoordinate[1],z:h.traceCoordinate[2],data:_._input,fullData:_,curveNumber:_.index,pointNumber:w};d.appendArrayPointValue(E,_,w),t._module.eventData&&(E=_._module.eventData(E,h,_,{},w));var L={points:[E]};if(e.fullSceneLayout.hovermode){var C=[];d.loneHover({trace:_,x:(.5+.5*y[0]/y[3])*s,y:(.5-.5*y[1]/y[3])*l,xLabel:T.xLabel,yLabel:T.yLabel,zLabel:T.zLabel,text:x,name:u.name,color:d.castHoverOption(_,w,\"bgcolor\")||u.color,borderColor:d.castHoverOption(_,w,\"bordercolor\"),fontFamily:d.castHoverOption(_,w,\"font.family\"),fontSize:d.castHoverOption(_,w,\"font.size\"),fontColor:d.castHoverOption(_,w,\"font.color\"),nameLength:d.castHoverOption(_,w,\"namelength\"),textAlign:d.castHoverOption(_,w,\"align\"),hovertemplate:f.castOption(_,w,\"hovertemplate\"),hovertemplateLabels:f.extendFlat({},E,T),eventData:[E]},{container:n,gd:r,inOut_bbox:C}),E.bbox=C[0]}h.buttons&&h.distance<5?r.emit(\"plotly_click\",L):r.emit(\"plotly_hover\",L),this.oldEventData=L}else d.loneUnhover(n),this.oldEventData&&r.emit(\"plotly_unhover\",this.oldEventData),this.oldEventData=void 0;e.drawAnnotations(e)},w.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. Context lost.\")};requestAnimationFrame(e)};var k=[\"xaxis\",\"yaxis\",\"zaxis\"];function A(t,e,r){for(var n=t.fullSceneLayout,i=0;i<3;i++){var a=k[i],o=a.charAt(0),s=n[a],l=e[o],c=e[o+\"calendar\"],u=e[\"_\"+o+\"length\"];if(f.isArrayOrTypedArray(l))for(var h,p=0;p<(u||l.length);p++)if(f.isArrayOrTypedArray(l[p]))for(var d=0;d<l[p].length;++d)h=s.d2l(l[p][d],0,c),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else h=s.d2l(l[p],0,c),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else r[0][i]=Math.min(r[0][i],0),r[1][i]=Math.max(r[1][i],u-1)}}w.plot=function(t,e,r){if(this.plotArgs=[t,e,r],!this.glplot.contextLost){var n,i,a,o,s,l,c=e[this.id],u=r[this.id];this.fullLayout=e,this.fullSceneLayout=c,this.axesOptions.merge(e,c),this.spikeOptions.merge(c),this.setViewport(c),this.updateFx(c.dragmode,c.hovermode),this.camera.enableWheel=this.graphDiv._context._scrollZoom.gl3d,this.glplot.setClearColor(m(c.bgcolor)),this.setConvert(s),t?Array.isArray(t)||(t=[t]):t=[];var f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(a=0;a<t.length;++a)!0===(n=t[a]).visible&&0!==n._length&&A(this,n,f);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],i=0;i<3;i++)for(var a=k[i],o=a.charAt(0),s=r[a],l=0;l<n.length;l++){var c=n[l];if(c.visible){var u=s.r2l(c[o]);!isNaN(u)&&isFinite(u)&&(e[0][i]=Math.min(e[0][i],u),e[1][i]=Math.max(e[1][i],u))}}}(this,f);var h=[1,1,1];for(o=0;o<3;++o)f[1][o]===f[0][o]?h[o]=1:h[o]=1/(f[1][o]-f[0][o]);for(this.dataScale=h,this.convertAnnotations(this),a=0;a<t.length;++a)!0===(n=t[a]).visible&&0!==n._length&&((i=this.traces[n.uid])?i.data.type===n.type?i.update(n):(i.dispose(),i=n._module.plot(this,n),this.traces[n.uid]=i):(i=n._module.plot(this,n),this.traces[n.uid]=i),i.name=n.name);var p=Object.keys(this.traces);t:for(a=0;a<p.length;++a){for(o=0;o<t.length;++o)if(t[o].uid===p[a]&&!0===t[o].visible&&0!==t[o]._length)continue t;(i=this.traces[p[a]]).dispose(),delete this.traces[p[a]]}this.glplot.objects.sort((function(t,e){return t._trace.data.index-e._trace.data.index}));var d,g=[[0,0,0],[0,0,0]],v=[],y={};for(a=0;a<3;++a){if((l=(s=c[k[a]]).type)in y?(y[l].acc*=h[a],y[l].count+=1):y[l]={acc:h[a],count:1},s.autorange){g[0][a]=1/0,g[1][a]=-1/0;var x=this.glplot.objects,b=this.fullSceneLayout.annotations||[],_=s._name.charAt(0);for(o=0;o<x.length;o++){var w=x[o],T=w.bounds,M=w._trace.data._pad||0;\"ErrorBars\"===w.constructor.name&&s._lowerLogErrorBound?g[0][a]=Math.min(g[0][a],s._lowerLogErrorBound):g[0][a]=Math.min(g[0][a],T[0][a]/h[a]-M),g[1][a]=Math.max(g[1][a],T[1][a]/h[a]+M)}for(o=0;o<b.length;o++){var S=b[o];if(S.visible){var E=s.r2l(S[_]);g[0][a]=Math.min(g[0][a],E),g[1][a]=Math.max(g[1][a],E)}}if(\"rangemode\"in s&&\"tozero\"===s.rangemode&&(g[0][a]=Math.min(g[0][a],0),g[1][a]=Math.max(g[1][a],0)),g[0][a]>g[1][a])g[0][a]=-1,g[1][a]=1;else{var L=g[1][a]-g[0][a];g[0][a]-=L/32,g[1][a]+=L/32}if(\"reversed\"===s.autorange){var C=g[0][a];g[0][a]=g[1][a],g[1][a]=C}}else{var P=s.range;g[0][a]=s.r2l(P[0]),g[1][a]=s.r2l(P[1])}g[0][a]===g[1][a]&&(g[0][a]-=1,g[1][a]+=1),v[a]=g[1][a]-g[0][a],this.glplot.setBounds(a,{min:g[0][a]*h[a],max:g[1][a]*h[a]})}var I=c.aspectmode;if(\"cube\"===I)d=[1,1,1];else if(\"manual\"===I){var O=c.aspectratio;d=[O.x,O.y,O.z]}else{if(\"auto\"!==I&&\"data\"!==I)throw new Error(\"scene.js aspectRatio was not one of the enumerated types\");var z=[1,1,1];for(a=0;a<3;++a){var D=y[l=(s=c[k[a]]).type];z[a]=Math.pow(D.acc,1/D.count)/h[a]}d=\"data\"===I||Math.max.apply(null,z)/Math.min.apply(null,z)<=4?z:[1,1,1]}c.aspectratio.x=u.aspectratio.x=d[0],c.aspectratio.y=u.aspectratio.y=d[1],c.aspectratio.z=u.aspectratio.z=d[2],this.glplot.setAspectratio(c.aspectratio),this.viewInitial.aspectratio||(this.viewInitial.aspectratio={x:c.aspectratio.x,y:c.aspectratio.y,z:c.aspectratio.z}),this.viewInitial.aspectmode||(this.viewInitial.aspectmode=c.aspectmode);var R=c.domain||null,F=e._size||null;if(R&&F){var B=this.container.style;B.position=\"absolute\",B.left=F.l+R.x[0]*F.w+\"px\",B.top=F.t+(1-R.y[1])*F.h+\"px\",B.width=F.w*(R.x[1]-R.x[0])+\"px\",B.height=F.h*(R.y[1]-R.y[0])+\"px\"}this.glplot.redraw()}},w.destroy=function(){this.glplot&&(this.camera.mouseListener.enabled=!1,this.container.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null,this.glplot.dispose(),this.container.parentNode.removeChild(this.container),this.glplot=null)},w.getCamera=function(){var t;return this.camera.view.recalcMatrix(this.camera.view.lastT()),{up:{x:(t=this.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\"}}},w.setViewport=function(t){var e,r=t.camera;this.camera.lookAt.apply(this,[[(e=r).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]]),this.glplot.setAspectratio(t.aspectratio),\"orthographic\"===r.projection.type!==this.camera._ortho&&(this.glplot.redraw(),this.glplot.clearRGBA(),this.glplot.dispose(),this.initializeGLPlot())},w.isCameraChanged=function(t){var e=this.getCamera(),r=f.nestedProperty(t,this.id+\".camera\").get();function n(t,e,r,n){var i=[\"up\",\"center\",\"eye\"],a=[\"x\",\"y\",\"z\"];return e[i[r]]&&t[i[r]][a[n]]===e[i[r]][a[n]]}var i=!1;if(void 0===r)i=!0;else{for(var a=0;a<3;a++)for(var o=0;o<3;o++)if(!n(e,r,a,o)){i=!0;break}(!r.projection||e.projection&&e.projection.type!==r.projection.type)&&(i=!0)}return i},w.isAspectChanged=function(t){var e=this.glplot.getAspectratio(),r=f.nestedProperty(t,this.id+\".aspectratio\").get();return void 0===r||r.x!==e.x||r.y!==e.y||r.z!==e.z},w.saveLayout=function(t){var e,r,n,i,a,o,s=this.fullLayout,l=this.isCameraChanged(t),c=this.isAspectChanged(t),h=l||c;if(h){var p={};if(l&&(e=this.getCamera(),n=(r=f.nestedProperty(t,this.id+\".camera\")).get(),p[this.id+\".camera\"]=n),c&&(i=this.glplot.getAspectratio(),o=(a=f.nestedProperty(t,this.id+\".aspectratio\")).get(),p[this.id+\".aspectratio\"]=o),u.call(\"_storeDirectGUIEdit\",t,s._preGUI,p),l)r.set(e),f.nestedProperty(s,this.id+\".camera\").set(e);if(c)a.set(i),f.nestedProperty(s,this.id+\".aspectratio\").set(i),this.glplot.redraw()}return h},w.updateFx=function(t,e){var r=this.camera;if(r)if(\"orbit\"===t)r.mode=\"orbit\",r.keyBindingMode=\"rotate\";else if(\"turntable\"===t){r.up=[0,0,1],r.mode=\"turntable\",r.keyBindingMode=\"rotate\";var n=this.graphDiv,i=n._fullLayout,a=this.fullSceneLayout.camera,o=a.up.x,s=a.up.y,l=a.up.z;if(l/Math.sqrt(o*o+s*s+l*l)<.999){var c=this.id+\".camera.up\",h={x:0,y:0,z:1},p={};p[c]=h;var d=n.layout;u.call(\"_storeDirectGUIEdit\",d,i._preGUI,p),a.up=h,f.nestedProperty(d,c).set(h)}}else r.keyBindingMode=t;this.fullSceneLayout.hovermode=e},w.toImage=function(t){t||(t=\"png\"),this.staticMode&&this.container.appendChild(n),this.glplot.redraw();var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a),function(t,e,r){for(var n=0,i=r-1;n<i;++n,--i)for(var a=0;a<e;++a)for(var o=0;o<4;++o){var s=4*(e*n+a)+o,l=4*(e*i+a)+o,c=t[s];t[s]=t[l],t[l]=c}}(a,r,i),function(t,e,r){for(var n=0;n<r;++n)for(var i=0;i<e;++i){var a=4*(e*n+i),o=t[a+3];if(o>0)for(var s=255/o,l=0;l<3;++l)t[a+l]=Math.min(s*t[a+l],255)}}(a,r,i);var o=document.createElement(\"canvas\");o.width=r,o.height=i;var s,l=o.getContext(\"2d\",{willReadFrequently:!0}),c=l.createImageData(r,i);switch(c.data.set(a),l.putImageData(c,0,0),t){case\"jpeg\":s=o.toDataURL(\"image/jpeg\");break;case\"webp\":s=o.toDataURL(\"image/webp\");break;default:s=o.toDataURL(\"image/png\")}return this.staticMode&&this.container.removeChild(n),s},w.setConvert=function(){for(var t=0;t<3;t++){var e=this.fullSceneLayout[k[t]];p.setConvert(e,this.fullLayout),e.setScale=f.noop}},w.make4thDimension=function(){var t=this.graphDiv._fullLayout;this._mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},p.setConvert(this._mockAxis,t)},e.exports=_},{\"../../../stackgl_modules\":1124,\"../../components/fx\":406,\"../../lib\":503,\"../../lib/show_no_webgl_msg\":525,\"../../lib/str2rgbarray\":528,\"../../plots/cartesian/axes\":554,\"../../registry\":638,\"./layout/convert\":602,\"./layout/spikes\":605,\"./layout/tick_marks\":606,\"./project\":607,\"has-passive-events\":229,\"webgl-context\":331}],609:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n){n=n||t.length;for(var i=new Array(n),a=0;a<n;a++)i[a]=[t[a],e[a],r[a]];return i}},{}],610:[function(t,e,r){\"use strict\";var n=t(\"./font_attributes\"),i=t(\"./animation_attributes\"),a=t(\"../components/color/attributes\"),o=t(\"../components/shapes/draw_newshape/attributes\"),s=t(\"./pad_attributes\"),l=t(\"../lib/extend\").extendFlat,c=n({editType:\"calc\"});c.family.dflt='\"Open Sans\", verdana, arial, sans-serif',c.size.dflt=12,c.color.dflt=a.defaultLine,e.exports={font:c,title:{text:{valType:\"string\",editType:\"layoutstyle\"},font:n({editType:\"layoutstyle\"}),xref:{valType:\"enumerated\",dflt:\"container\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},yref:{valType:\"enumerated\",dflt:\"container\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},x:{valType:\"number\",min:0,max:1,dflt:.5,editType:\"layoutstyle\"},y:{valType:\"number\",min:0,max:1,dflt:\"auto\",editType:\"layoutstyle\"},xanchor:{valType:\"enumerated\",dflt:\"auto\",values:[\"auto\",\"left\",\"center\",\"right\"],editType:\"layoutstyle\"},yanchor:{valType:\"enumerated\",dflt:\"auto\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],editType:\"layoutstyle\"},pad:l(s({editType:\"layoutstyle\"}),{}),editType:\"layoutstyle\"},uniformtext:{mode:{valType:\"enumerated\",values:[!1,\"hide\",\"show\"],dflt:!1,editType:\"plot\"},minsize:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},editType:\"plot\"},autosize:{valType:\"boolean\",dflt:!1,editType:\"none\"},width:{valType:\"number\",min:10,dflt:700,editType:\"plot\"},height:{valType:\"number\",min:10,dflt:450,editType:\"plot\"},margin:{l:{valType:\"number\",min:0,dflt:80,editType:\"plot\"},r:{valType:\"number\",min:0,dflt:80,editType:\"plot\"},t:{valType:\"number\",min:0,dflt:100,editType:\"plot\"},b:{valType:\"number\",min:0,dflt:80,editType:\"plot\"},pad:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},autoexpand:{valType:\"boolean\",dflt:!0,editType:\"plot\"},editType:\"plot\"},computed:{valType:\"any\",editType:\"none\"},paper_bgcolor:{valType:\"color\",dflt:a.background,editType:\"plot\"},plot_bgcolor:{valType:\"color\",dflt:a.background,editType:\"layoutstyle\"},autotypenumbers:{valType:\"enumerated\",values:[\"convert types\",\"strict\"],dflt:\"convert types\",editType:\"calc\"},separators:{valType:\"string\",editType:\"plot\"},hidesources:{valType:\"boolean\",dflt:!1,editType:\"plot\"},showlegend:{valType:\"boolean\",editType:\"legend\"},colorway:{valType:\"colorlist\",dflt:a.defaults,editType:\"calc\"},datarevision:{valType:\"any\",editType:\"calc\"},uirevision:{valType:\"any\",editType:\"none\"},editrevision:{valType:\"any\",editType:\"none\"},selectionrevision:{valType:\"any\",editType:\"none\"},template:{valType:\"any\",editType:\"calc\"},newshape:o.newshape,activeshape:o.activeshape,meta:{valType:\"any\",arrayOk:!0,editType:\"plot\"},transition:l({},i.transition,{editType:\"none\"}),_deprecated:{title:{valType:\"string\",editType:\"layoutstyle\"},titlefont:n({editType:\"layoutstyle\"})}}},{\"../components/color/attributes\":365,\"../components/shapes/draw_newshape/attributes\":451,\"../lib/extend\":493,\"./animation_attributes\":548,\"./font_attributes\":585,\"./pad_attributes\":618}],611:[function(t,e,r){\"use strict\";var n=t(\"../../lib/sort_object_keys\"),i='\\xa9 <a target=\"_blank\" href=\"https://www.openstreetmap.org/copyright\">OpenStreetMap</a> contributors',a=['\\xa9 <a target=\"_blank\" href=\"https://carto.com/\">Carto</a>',i].join(\" \"),o=['Map tiles by <a target=\"_blank\" href=\"https://stamen.com\">Stamen Design</a>','under <a target=\"_blank\" href=\"https://creativecommons.org/licenses/by/3.0\">CC BY 3.0</a>',\"|\",'Data by <a target=\"_blank\" href=\"https://openstreetmap.org\">OpenStreetMap</a> contributors','under <a target=\"_blank\" href=\"https://www.openstreetmap.org/copyright\">ODbL</a>'].join(\" \"),s={\"open-street-map\":{id:\"osm\",version:8,sources:{\"plotly-osm-tiles\":{type:\"raster\",attribution:i,tiles:[\"https://a.tile.openstreetmap.org/{z}/{x}/{y}.png\",\"https://b.tile.openstreetmap.org/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-osm-tiles\",type:\"raster\",source:\"plotly-osm-tiles\",minzoom:0,maxzoom:22}]},\"white-bg\":{id:\"white-bg\",version:8,sources:{},layers:[{id:\"white-bg\",type:\"background\",paint:{\"background-color\":\"#FFFFFF\"},minzoom:0,maxzoom:22}]},\"carto-positron\":{id:\"carto-positron\",version:8,sources:{\"plotly-carto-positron\":{type:\"raster\",attribution:a,tiles:[\"https://cartodb-basemaps-c.global.ssl.fastly.net/light_all/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-carto-positron\",type:\"raster\",source:\"plotly-carto-positron\",minzoom:0,maxzoom:22}]},\"carto-darkmatter\":{id:\"carto-darkmatter\",version:8,sources:{\"plotly-carto-darkmatter\":{type:\"raster\",attribution:a,tiles:[\"https://cartodb-basemaps-c.global.ssl.fastly.net/dark_all/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-carto-darkmatter\",type:\"raster\",source:\"plotly-carto-darkmatter\",minzoom:0,maxzoom:22}]},\"stamen-terrain\":{id:\"stamen-terrain\",version:8,sources:{\"plotly-stamen-terrain\":{type:\"raster\",attribution:o,tiles:[\"https://stamen-tiles.a.ssl.fastly.net/terrain/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-stamen-terrain\",type:\"raster\",source:\"plotly-stamen-terrain\",minzoom:0,maxzoom:22}]},\"stamen-toner\":{id:\"stamen-toner\",version:8,sources:{\"plotly-stamen-toner\":{type:\"raster\",attribution:o,tiles:[\"https://stamen-tiles.a.ssl.fastly.net/toner/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-stamen-toner\",type:\"raster\",source:\"plotly-stamen-toner\",minzoom:0,maxzoom:22}]},\"stamen-watercolor\":{id:\"stamen-watercolor\",version:8,sources:{\"plotly-stamen-watercolor\":{type:\"raster\",attribution:['Map 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t&&(-1!==p.styleValuesMapbox.indexOf(t)||0===t.indexOf(\"mapbox://\"))}r.name=\"mapbox\",r.attr=\"subplot\",r.idRoot=\"mapbox\",r.idRegex=r.attrRegex=i.counterRegex(\"mapbox\"),r.attributes={subplot:{valType:\"subplotid\",dflt:\"mapbox\",editType:\"calc\"}},r.layoutAttributes=t(\"./layout_attributes\"),r.supplyLayoutDefaults=t(\"./layout_defaults\"),r.plot=function(t){var e=t._fullLayout,r=t.calcdata,a=e._subplots.mapbox;if(n.version!==p.requiredVersion)throw new Error(p.wrongVersionErrorMsg);var o=function(t,e){var r=t._fullLayout;if(\"\"===t._context.mapboxAccessToken)return\"\";for(var n=[],a=[],o=!1,s=!1,l=0;l<e.length;l++){var c=r[e[l]],u=c.accesstoken;d(c.style)&&(u?i.pushUnique(n,u):(d(c._input.style)&&(i.error(\"Uses Mapbox map style, but did not set an access token.\"),o=!0),s=!0)),u&&i.pushUnique(a,u)}if(s){var f=o?p.noAccessTokenErrorMsg:p.missingStyleErrorMsg;throw i.error(f),new Error(f)}return 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m=c.select(s._subplot.div);if(!(null===m.select(\".mapboxgl-ctrl-logo\").node().offsetParent)){var g=e._glimages.append(\"g\");g.attr(\"transform\",a(n.l+n.w*h.x[0]+10,n.t+n.h*(1-h.y[0])-31)),g.append(\"path\").attr(\"d\",p.mapboxLogo.path0).style({opacity:.9,fill:\"#ffffff\",\"enable-background\":\"new\"}),g.append(\"path\").attr(\"d\",p.mapboxLogo.path1).style(\"opacity\",.35).style(\"enable-background\",\"new\"),g.append(\"path\").attr(\"d\",p.mapboxLogo.path2).style(\"opacity\",.35).style(\"enable-background\",\"new\"),g.append(\"polygon\").attr(\"points\",p.mapboxLogo.polygon).style({opacity:.9,fill:\"#ffffff\",\"enable-background\":\"new\"})}var v=m.select(\".mapboxgl-ctrl-attrib\").text().replace(\"Improve this map\",\"\"),y=e._glimages.append(\"g\"),x=y.append(\"text\");x.text(v).classed(\"static-attribution\",!0).attr({\"font-size\":12,\"font-family\":\"Arial\",color:\"rgba(0, 0, 0, 0.75)\",\"text-anchor\":\"end\",\"data-unformatted\":v});var b=u.bBox(x.node()),_=n.w*(h.x[1]-h.x[0]);if(b.width>_/2){var w=v.split(\"|\").join(\"<br>\");x.text(w).attr(\"data-unformatted\",w).call(f.convertToTspans,t),b=u.bBox(x.node())}x.attr(\"transform\",a(-3,8-b.height)),y.insert(\"rect\",\".static-attribution\").attr({x:-b.width-6,y:-b.height-3,width:b.width+6,height:b.height+3,fill:\"rgba(255, 255, 255, 0.75)\"});var T=1;b.width+6>_&&(T=_/(b.width+6));var k=[n.l+n.w*h.x[1],n.t+n.h*(1-h.y[0])];y.attr(\"transform\",a(k[0],k[1])+o(T))}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.mapbox,n=0;n<r.length;n++){e[r[n]]._subplot.updateFx(e)}}},{\"../../components/drawing\":388,\"../../constants/xmlns_namespaces\":480,\"../../lib\":503,\"../../lib/svg_text_utils\":529,\"../../plots/get_data\":593,\"./constants\":611,\"./layout_attributes\":615,\"./layout_defaults\":616,\"./mapbox\":617,\"@plotly/d3\":58,\"mapbox-gl/dist/mapbox-gl-unminified\":239}],614:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../lib/svg_text_utils\").sanitizeHTML,a=t(\"./convert_text_opts\"),o=t(\"./constants\");function s(t,e){this.subplot=t,this.uid=t.uid+\"-\"+e,this.index=e,this.idSource=\"source-\"+this.uid,this.idLayer=o.layoutLayerPrefix+this.uid,this.sourceType=null,this.source=null,this.layerType=null,this.below=null,this.visible=!1}var l=s.prototype;function c(t){if(!t.visible)return!1;var e=t.source;if(Array.isArray(e)&&e.length>0){for(var r=0;r<e.length;r++)if(\"string\"!=typeof e[r]||0===e[r].length)return!1;return!0}return n.isPlainObject(e)||\"string\"==typeof e&&e.length>0}function u(t){var e={},r={};switch(t.type){case\"circle\":n.extendFlat(r,{\"circle-radius\":t.circle.radius,\"circle-color\":t.color,\"circle-opacity\":t.opacity});break;case\"line\":n.extendFlat(r,{\"line-width\":t.line.width,\"line-color\":t.color,\"line-opacity\":t.opacity,\"line-dasharray\":t.line.dash});break;case\"fill\":n.extendFlat(r,{\"fill-color\":t.color,\"fill-outline-color\":t.fill.outlinecolor,\"fill-opacity\":t.opacity});break;case\"symbol\":var i=t.symbol,o=a(i.textposition,i.iconsize);n.extendFlat(e,{\"icon-image\":i.icon+\"-15\",\"icon-size\":i.iconsize/10,\"text-field\":i.text,\"text-size\":i.textfont.size,\"text-anchor\":o.anchor,\"text-offset\":o.offset,\"symbol-placement\":i.placement}),n.extendFlat(r,{\"icon-color\":t.color,\"text-color\":i.textfont.color,\"text-opacity\":t.opacity});break;case\"raster\":n.extendFlat(r,{\"raster-fade-duration\":0,\"raster-opacity\":t.opacity})}return{layout:e,paint:r}}l.update=function(t){this.visible?this.needsNewImage(t)?this.updateImage(t):this.needsNewSource(t)?(this.removeLayer(),this.updateSource(t),this.updateLayer(t)):this.needsNewLayer(t)?this.updateLayer(t):this.updateStyle(t):(this.updateSource(t),this.updateLayer(t)),this.visible=c(t)},l.needsNewImage=function(t){return this.subplot.map.getSource(this.idSource)&&\"image\"===this.sourceType&&\"image\"===t.sourcetype&&(this.source!==t.source||JSON.stringify(this.coordinates)!==JSON.stringify(t.coordinates))},l.needsNewSource=function(t){return this.sourceType!==t.sourcetype||JSON.stringify(this.source)!==JSON.stringify(t.source)||this.layerType!==t.type},l.needsNewLayer=function(t){return this.layerType!==t.type||this.below!==this.subplot.belowLookup[\"layout-\"+this.index]},l.lookupBelow=function(){return this.subplot.belowLookup[\"layout-\"+this.index]},l.updateImage=function(t){this.subplot.map.getSource(this.idSource).updateImage({url:t.source,coordinates:t.coordinates});var e=this.findFollowingMapboxLayerId(this.lookupBelow());null!==e&&this.subplot.map.moveLayer(this.idLayer,e)},l.updateSource=function(t){var e=this.subplot.map;if(e.getSource(this.idSource)&&e.removeSource(this.idSource),this.sourceType=t.sourcetype,this.source=t.source,c(t)){var r=function(t){var e,r=t.sourcetype,n=t.source,a={type:r};\"geojson\"===r?e=\"data\":\"vector\"===r?e=\"string\"==typeof n?\"url\":\"tiles\":\"raster\"===r?(e=\"tiles\",a.tileSize=256):\"image\"===r&&(e=\"url\",a.coordinates=t.coordinates);a[e]=n,t.sourceattribution&&(a.attribution=i(t.sourceattribution));return a}(t);e.addSource(this.idSource,r)}},l.findFollowingMapboxLayerId=function(t){if(\"traces\"===t)for(var e=this.subplot.getMapLayers(),r=0;r<e.length;r++){var n=e[r].id;if(\"string\"==typeof n&&0===n.indexOf(o.traceLayerPrefix)){t=n;break}}return t},l.updateLayer=function(t){var e=this.subplot,r=u(t),n=this.lookupBelow(),i=this.findFollowingMapboxLayerId(n);this.removeLayer(),c(t)&&e.addLayer({id:this.idLayer,source:this.idSource,\"source-layer\":t.sourcelayer||\"\",type:t.type,minzoom:t.minzoom,maxzoom:t.maxzoom,layout:r.layout,paint:r.paint},i),this.layerType=t.type,this.below=n},l.updateStyle=function(t){if(c(t)){var e=u(t);this.subplot.setOptions(this.idLayer,\"setLayoutProperty\",e.layout),this.subplot.setOptions(this.idLayer,\"setPaintProperty\",e.paint)}},l.removeLayer=function(){var t=this.subplot.map;t.getLayer(this.idLayer)&&t.removeLayer(this.idLayer)},l.dispose=function(){var t=this.subplot.map;t.getLayer(this.idLayer)&&t.removeLayer(this.idLayer),t.getSource(this.idSource)&&t.removeSource(this.idSource)},e.exports=function(t,e,r){var n=new s(t,e);return n.update(r),n}},{\"../../lib\":503,\"../../lib/svg_text_utils\":529,\"./constants\":611,\"./convert_text_opts\":612}],615:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/color\").defaultLine,a=t(\"../domain\").attributes,o=t(\"../font_attributes\"),s=t(\"../../traces/scatter/attributes\").textposition,l=t(\"../../plot_api/edit_types\").overrideAll,c=t(\"../../plot_api/plot_template\").templatedArray,u=t(\"./constants\"),f=o({});f.family.dflt=\"Open Sans Regular, Arial Unicode MS 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e,r,s=this,c=s.isSmith,u=s.gd,f=s.layers,h=t._zoomlayer,p=S.MINZOOM,d=S.OFFEDGE,m=s.radius,x=s.innerRadius,T=s.cx,k=s.cy,A=s.cxx,M=s.cyy,L=s.sectorInRad,C=s.vangles,P=s.radialAxis,I=E.clampTiny,O=E.findXYatLength,z=E.findEnclosingVertexAngles,D=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){y.hover(u,t,s.id),u._fullLayout._lasthover=F,u._fullLayout._hoversubplot=s.id},F.onmouseout=function(t){u._dragging||v.unhover(u,t)};var B,N,j,U,V,H,q,G,Y,W={element:F,gd:u,subplot:s.id,plotinfo:{id:s.id,xaxis:s.xaxis,yaxis:s.yaxis},xaxes:[s.xaxis],yaxes:[s.yaxis]};function X(t,e){return Math.sqrt(t*t+e*e)}function Z(t,e){return X(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 Q(t,e){if(0===t)return s.pathSector(2*D);var 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O,z,D,B=g.makeRectDragger(u,T,\"crosshair\",-x,-x,y,y),N={element:B,gd:c};!1===t.dragmode&&(N.dragmode=!1),V(n.select(B),m.visible&&h<f,{transform:l(b,_)}),N.prepFn=function(){O=null,z=null,D=null,N.moveFn=j,N.doneFn=H,w(c)},N.clampFn=function(t,e){return Math.sqrt(t*t+e*e)<S.MINDRAG&&(t=0,e=0),[t,e]},v.init(N)}function j(t,e){if(O)O(t,e);else{var n=[t,-e],a=[Math.cos(M),Math.sin(M)],s=Math.abs(o.dot(n,a)/Math.sqrt(o.dot(n,n)));isNaN(s)||(O=s<.5?q:G)}var l={};!function(t){null!==z?t[i.id+\".radialaxis.angle\"]=z:null!==D&&(t[i.id+\".radialaxis.range[\"+r+\"]\"]=D)}(l),c.emit(\"plotly_relayouting\",l)}function H(){null!==z?a.call(\"_guiRelayout\",c,i.id+\".radialaxis.angle\",z):null!==D&&a.call(\"_guiRelayout\",c,i.id+\".radialaxis.range[\"+r+\"]\",D)}function q(t,e){if(0!==r){var n=b+t,a=_+e;z=Math.atan2(d-a,n-p),i.vangles&&(z=U(z,i.vangles)),z=F(z);var o=l(p,d)+s(-z);u[\"radial-axis\"].attr(\"transform\",o),u[\"radial-line\"].select(\"line\").attr(\"transform\",o);var 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e=this.graphDiv,r=t[this.id],n=this.clipId=\"clip\"+this.layoutId+this.id,i=this.clipIdRelative=\"clip-relative\"+this.layoutId+this.id;this.clipDef=o.ensureSingleById(t._clips,\"clipPath\",n,(function(t){t.append(\"path\").attr(\"d\",\"M0,0Z\")})),this.clipDefRelative=o.ensureSingleById(t._clips,\"clipPath\",i,(function(t){t.append(\"path\").attr(\"d\",\"M0,0Z\")})),this.plotContainer=o.ensureSingle(this.container,\"g\",this.id),this.updateLayers(r),u.setClipUrl(this.layers.backplot,n,e),u.setClipUrl(this.layers.grids,n,e)},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 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r,n,i,a,o,l,p=this,d=t.domain,m=(d.x[0]+d.x[1])/2,g=(d.y[0]+d.y[1])/2,v=d.x[1]-d.x[0],y=d.y[1]-d.y[0],x=v*e.w,b=y*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=v*i/x,l=y*a/b,r=e.l+e.w*m-i/2,n=e.t+e.h*(1-g)-a/2,p.x0=r,p.y0=n,p.w=i,p.h=a,p.sum=_,p.xaxis={type:\"linear\",range:[w+2*k-_,_-w-2*T],domain:[m-o/2,m+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 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D=s(r+i/2,n)+\"rotate(-30)\"+s(0,-L._offset);p.layers.caxis.attr(\"transform\",D),p.layers.cgrid.attr(\"transform\",D),p.drawAxes(!0),p.layers.aline.select(\"path\").attr(\"d\",M.showline?\"M\"+r+\",\"+(n+a)+\"l\"+i/2+\",-\"+a:\"M0,0\").call(c.stroke,M.linecolor||\"#000\").style(\"stroke-width\",(M.linewidth||0)+\"px\"),p.layers.bline.select(\"path\").attr(\"d\",S.showline?\"M\"+r+\",\"+(n+a)+\"h\"+i:\"M0,0\").call(c.stroke,S.linecolor||\"#000\").style(\"stroke-width\",(S.linewidth||0)+\"px\"),p.layers.cline.select(\"path\").attr(\"d\",L.showline?\"M\"+(r+i/2)+\",\"+n+\"l\"+i/2+\",\"+a:\"M0,0\").call(c.stroke,L.linecolor||\"#000\").style(\"stroke-width\",(L.linewidth||0)+\"px\"),p.graphDiv._context.staticPlot||p.initInteractions(),u.setClipUrl(p.layers.frontplot,p._hasClipOnAxisFalse?null:p.clipId,p.graphDiv)},S.drawAxes=function(t){var 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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\",I=\"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\",O=!0;function z(t){n.select(t).selectAll(\".zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners\").remove()}S.clearSelect=function(){k(this.dragOptions),T(this.dragOptions.gd)},S.initInteractions=function(){var t,e,r,n,f,h,p,d,v,b,T,k,M=this,S=M.layers.plotbg.select(\"path\").node(),L=M.graphDiv,D=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 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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),c=i.indexOf(p.c);i[0]<0&&(i[1]+i[0]/2<0?(i[2]+=i[0]+i[1],i[0]=i[1]=0):(i[2]+=i[0]/2,i[1]+=i[0]/2,i[0]=0),p={a:i[a],b:i[l],c:i[c]},e=(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(u.hideOutsideRangePoints,M),L.emit(\"plotly_relayouting\",R(p))}function 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n=t(\"../../components/colorscale/defaults\"),i=t(\"./label_defaults\");e.exports=function(t,e,r,a,o){var s,l=r(\"contours.coloring\"),c=\"\";\"fill\"===l&&(s=r(\"contours.showlines\")),!1!==s&&(\"lines\"!==l&&(c=r(\"line.color\",\"#000\")),r(\"line.width\",.5),r(\"line.dash\")),\"none\"!==l&&(!0!==t.showlegend&&(e.showlegend=!1),e._dfltShowLegend=!1,n(t,e,a,r,{prefix:\"\",cLetter:\"z\"})),r(\"line.smoothing\"),i(r,a,c,o)}},{\"../../components/colorscale/defaults\":376,\"./label_defaults\":750}],757:[function(t,e,r){\"use strict\";var n=t(\"../heatmap/attributes\"),i=t(\"../contour/attributes\"),a=t(\"../../components/colorscale/attributes\"),o=t(\"../../lib/extend\").extendFlat,s=i.contours;e.exports=o({carpet:{valType:\"string\",editType:\"calc\"},z:n.z,a:n.x,a0:n.x0,da:n.dx,b:n.y,b0:n.y0,db:n.dy,text:n.text,hovertext:n.hovertext,transpose:n.transpose,atype:n.xtype,btype:n.ytype,fillcolor:i.fillcolor,autocontour:i.autocontour,ncontours:i.ncontours,contours:{type:s.type,start:s.start,end:s.end,size:s.size,coloring:{valType:\"enumerated\",values:[\"fill\",\"lines\",\"none\"],dflt:\"fill\",editType:\"calc\"},showlines:s.showlines,showlabels:s.showlabels,labelfont:s.labelfont,labelformat:s.labelformat,operation:s.operation,value:s.value,editType:\"calc\",impliedEdits:{autocontour:!1}},line:{color:i.line.color,width:i.line.width,dash:i.line.dash,smoothing:i.line.smoothing,editType:\"plot\"},transforms:void 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n=t(\"../pie/layout_attributes\").hiddenlabels;e.exports={hiddenlabels:n,funnelareacolorway:{valType:\"colorlist\",editType:\"calc\"},extendfunnelareacolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},{\"../pie/layout_attributes\":908}],789:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./layout_attributes\");e.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"hiddenlabels\"),r(\"funnelareacolorway\",e.colorway),r(\"extendfunnelareacolors\")}},{\"../../lib\":503,\"./layout_attributes\":788}],790:[function(t,e,r){\"use strict\";var 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n=t(\"../scatter/attributes\"),i=t(\"../../plots/attributes\"),a=t(\"../../plots/font_attributes\"),o=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,s=t(\"../../plots/template_attributes\").hovertemplateAttrs,l=t(\"../../plots/template_attributes\").texttemplateAttrs,c=t(\"../../components/colorscale/attributes\"),u=t(\"../../lib/extend\").extendFlat;e.exports=u({z:{valType:\"data_array\",editType:\"calc\"},x:u({},n.x,{impliedEdits:{xtype:\"array\"}}),x0:u({},n.x0,{impliedEdits:{xtype:\"scaled\"}}),dx:u({},n.dx,{impliedEdits:{xtype:\"scaled\"}}),y:u({},n.y,{impliedEdits:{ytype:\"array\"}}),y0:u({},n.y0,{impliedEdits:{ytype:\"scaled\"}}),dy:u({},n.dy,{impliedEdits:{ytype:\"scaled\"}}),xperiod:u({},n.xperiod,{impliedEdits:{xtype:\"scaled\"}}),yperiod:u({},n.yperiod,{impliedEdits:{ytype:\"scaled\"}}),xperiod0:u({},n.xperiod0,{impliedEdits:{xtype:\"scaled\"}}),yperiod0:u({},n.yperiod0,{impliedEdits:{ytype:\"scaled\"}}),xperiodalignment:u({},n.xperiodalignment,{impliedEdits:{xtype:\"scaled\"}}),yperiodalignment:u({},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:u({},i.showlegend,{dflt:!1})},{transforms:void 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W=_.selectAll(\"g.gauge-outline\").data([x]);W.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"path\"),W.select(\"path\").call(P).call(T),W.exit().remove()}(t,0,e,{radius:U,innerRadius:V,gauge:Y,layer:W,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:g});var X=O.selectAll(\"g.bullet\").data(R?e:[]);X.exit().remove();var Z=O.selectAll(\"g.bulletaxis\").data(R?e:[]);Z.exit().remove(),R&&function(t,e,r,n){var i,a,o,s,c,u=r[0].trace,f=n.gauge,p=n.layer,m=n.gaugeBg,g=n.gaugeOutline,v=n.size,x=u.domain,b=n.transitionOpts,_=n.onComplete;f.enter().append(\"g\").classed(\"bullet\",!0),f.attr(\"transform\",l(v.l,v.t)),p.enter().append(\"g\").classed(\"bulletaxis\",!0).classed(\"crisp\",!0),p.selectAll(\"g.xbulletaxistick,path,text\").remove();var A=v.h,M=u.gauge.bar.thickness*A,S=x.x[0],E=x.x[0]+(x.x[1]-x.x[0])*(u._hasNumber||u._hasDelta?1-h.bulletNumberDomainSize:1);(i=k(t,u.gauge.axis))._id=\"xbulletaxis\",i.domain=[S,E],i.setScale(),a=d.calcTicks(i),o=d.makeTransTickFn(i),s=d.getTickSigns(i)[2],c=v.t+v.h,i.visible&&(d.drawTicks(t,i,{vals:\"inside\"===i.ticks?d.clipEnds(i,a):a,layer:p,path:d.makeTickPath(i,c,s),transFn:o}),d.drawLabels(t,i,{vals:a,layer:p,transFn:o,labelFns:d.makeLabelFns(i,c)}));function L(t){t.attr(\"width\",(function(t){return Math.max(0,i.c2p(t.range[1])-i.c2p(t.range[0]))})).attr(\"x\",(function(t){return i.c2p(t.range[0])})).attr(\"y\",(function(t){return.5*(1-t.thickness)*A})).attr(\"height\",(function(t){return t.thickness*A}))}var C=[m].concat(u.gauge.steps),P=f.selectAll(\"g.bg-bullet\").data(C);P.enter().append(\"g\").classed(\"bg-bullet\",!0).append(\"rect\"),P.select(\"rect\").call(L).call(T),P.exit().remove();var 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n=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,a=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../surface/attributes\"),s=t(\"../../plots/attributes\"),l=t(\"../../lib/extend\").extendFlat;e.exports=l({x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},i:{valType:\"data_array\",editType:\"calc\"},j:{valType:\"data_array\",editType:\"calc\"},k:{valType:\"data_array\",editType:\"calc\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertemplate:a({editType:\"calc\"}),xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),zhoverformat:i(\"z\"),delaunayaxis:{valType:\"enumerated\",values:[\"x\",\"y\",\"z\"],dflt:\"z\",editType:\"calc\"},alphahull:{valType:\"number\",dflt:-1,editType:\"calc\"},intensity:{valType:\"data_array\",editType:\"calc\"},intensitymode:{valType:\"enumerated\",values:[\"vertex\",\"cell\"],dflt:\"vertex\",editType:\"calc\"},color:{valType:\"color\",editType:\"calc\"},vertexcolor:{valType:\"data_array\",editType:\"calc\"},facecolor:{valType:\"data_array\",editType:\"calc\"},transforms:void 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n=t(\"../../components/colorscale/calc\");e.exports=function(t,e){e.intensity&&n(t,e,{vals:e.intensity,containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":374}],869:[function(t,e,r){\"use strict\";var n=t(\"../../../stackgl_modules\").gl_mesh3d,i=t(\"../../../stackgl_modules\").delaunay_triangulate,a=t(\"../../../stackgl_modules\").alpha_shape,o=t(\"../../../stackgl_modules\").convex_hull,s=t(\"../../lib/gl_format_color\").parseColorScale,l=t(\"../../lib/str2rgbarray\"),c=t(\"../../components/colorscale\").extractOpts,u=t(\"../../plots/gl3d/zip3\");function f(t,e,r){this.scene=t,this.uid=r,this.mesh=e,this.name=\"\",this.color=\"#fff\",this.data=null,this.showContour=!1}var h=f.prototype;function p(t){for(var e=[],r=t.length,n=0;n<r;n++)e[n]=l(t[n]);return e}function d(t,e,r,n){for(var i=[],a=e.length,o=0;o<a;o++)i[o]=t.d2l(e[o],0,n)*r;return i}function m(t){for(var e=[],r=t.length,n=0;n<r;n++)e[n]=Math.round(t[n]);return e}function g(t,e){for(var r=t.length,n=0;n<r;n++)if(t[n]<=-.5||t[n]>=e-.5)return!1;return!0}h.handlePick=function(t){if(t.object===this.mesh){var e=t.index=t.data.index;t.data._cellCenter?t.traceCoordinate=t.data.dataCoordinate:t.traceCoordinate=[this.data.x[e],this.data.y[e],this.data.z[e]];var r=this.data.hovertext||this.data.text;return Array.isArray(r)&&void 0!==r[e]?t.textLabel=r[e]:r&&(t.textLabel=r),!0}},h.update=function(t){var e=this.scene,r=e.fullSceneLayout;this.data=t;var n,f=t.x.length,h=u(d(r.xaxis,t.x,e.dataScale[0],t.xcalendar),d(r.yaxis,t.y,e.dataScale[1],t.ycalendar),d(r.zaxis,t.z,e.dataScale[2],t.zcalendar));if(t.i&&t.j&&t.k){if(t.i.length!==t.j.length||t.j.length!==t.k.length||!g(t.i,f)||!g(t.j,f)||!g(t.k,f))return;n=u(m(t.i),m(t.j),m(t.k))}else n=0===t.alphahull?o(h):t.alphahull>0?a(t.alphahull,h):function(t,e){for(var r=[\"x\",\"y\",\"z\"].indexOf(t),n=[],a=e.length,o=0;o<a;o++)n[o]=[e[o][(r+1)%3],e[o][(r+2)%3]];return i(n)}(t.delaunayaxis,h);var v={positions:h,cells:n,lightPosition:[t.lightposition.x,t.lightposition.y,t.lightposition.z],ambient:t.lighting.ambient,diffuse:t.lighting.diffuse,specular:t.lighting.specular,roughness:t.lighting.roughness,fresnel:t.lighting.fresnel,vertexNormalsEpsilon:t.lighting.vertexnormalsepsilon,faceNormalsEpsilon:t.lighting.facenormalsepsilon,opacity:t.opacity,contourEnable:t.contour.show,contourColor:l(t.contour.color).slice(0,3),contourWidth:t.contour.width,useFacetNormals:t.flatshading};if(t.intensity){var y=c(t);this.color=\"#fff\";var x=t.intensitymode;v[x+\"Intensity\"]=t.intensity,v[x+\"IntensityBounds\"]=[y.min,y.max],v.colormap=s(t)}else t.vertexcolor?(this.color=t.vertexcolor[0],v.vertexColors=p(t.vertexcolor)):t.facecolor?(this.color=t.facecolor[0],v.cellColors=p(t.facecolor)):(this.color=t.color,v.meshColor=l(t.color));this.mesh.update(v)},h.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},e.exports=function(t,e){var r=t.glplot.gl,i=n({gl:r}),a=new 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n=t(\"../../lib\").extendFlat,i=t(\"../scatter/attributes\"),a=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,o=t(\"../../components/drawing/attributes\").dash,s=t(\"../../components/fx/attributes\"),l=t(\"../../constants/delta.js\"),c=l.INCREASING.COLOR,u=l.DECREASING.COLOR,f=i.line;function 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E=S.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);S.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})).attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"perpendicular\"===t.parcatsViewModel.arrangement?\"ns-resize\":\"move\"})),k(E),S.exit().remove(),M.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\");var z=e._fullLayout.paper_bgcolor;A.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){c.font(n.select(this),t.parcatsViewModel.categorylabelfont),f.convertToTspans(n.select(this),e)})),M.append(\"text\").attr(\"class\",\"dimlabel\"),A.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){c.font(n.select(this),t.parcatsViewModel.labelfont)})),A.selectAll(\"rect.bandrect\").on(\"mouseover\",L).on(\"mouseout\",C),A.exit().remove(),w.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on(\"dragstart\",P).on(\"drag\",I).on(\"dragend\",O)),u.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\")})),u.exit().remove()}function p(t){return t.key}function d(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function m(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function g(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){s.raiseToTop(this),w(n.select(this));var e=y(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,c=n.mouse(this)[0],f=t.parcatsViewModel.graphDiv,h=t.parcatsViewModel.trace,p=f._fullLayout,d=p._paperdiv.node().getBoundingClientRect(),m=t.parcatsViewModel.graphDiv.getBoundingClientRect();for(l=0;l<t.leftXs.length-1;l++)if(t.leftXs[l]+t.dimWidths[l]-2<=c&&c<=t.leftXs[l+1]+2){var g=t.parcatsViewModel.dimensions[l],v=t.parcatsViewModel.dimensions[l+1];i=(g.x+g.width+v.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=u.mostReadable(t.model.color,[\"black\",\"white\"]),k=t.model.count,A=k/t.parcatsViewModel.model.count,M={countLabel:k,probabilityLabel:A.toFixed(3)},S=[];-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&S.push([\"Count:\",M.countLabel].join(\" \")),-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&S.push([\"P:\",M.probabilityLabel].join(\" \"));var E=S.join(\"<br>\"),L=n.mouse(f)[0];o.loneHover({trace:h,x:b-d.left+m.left,y:_-d.top+m.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 v(t){if(!t.parcatsViewModel.dragDimension&&(_(n.select(this)),o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(m),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\"))){var e=y(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_unhover\",{points:e,event:n.event,constraints:r})}}function y(t){for(var e=[],r=z(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=y(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 u.mostReadable(t.model.color,[\"black\",\"white\"])})).attr(\"stroke-width\",.3)}function T(t){t.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",1).attr(\"stroke-opacity\",1)}function k(t){t.attr(\"stroke\",\"black\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1).attr(\"fill-opacity\",1)}function A(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter((function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color}))}function M(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=n.select(t.parentNode).selectAll(\"rect.bandrect\"),l=[];s.each((function(t){A(t).each((function(t){Array.prototype.push.apply(l,y(t))}))}));var c={};c[a.dimensionInd]=a.categoryValue,o.emit(e,{points:l,event:r,constraints:c})}function S(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=A(i),l=[];s.each((function(t){Array.prototype.push.apply(l,y(t))}));var c={};c[a.dimensionInd]=a.categoryValue,void 0!==i.rawColor&&(c.color=i.rawColor),o.emit(e,{points:l,event:r,constraints:c})}function E(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=n.select(r.parentNode).select(\"rect.catrect\"),c=l.node().getBoundingClientRect(),u=l.datum(),f=u.parcatsViewModel,h=f.model.dimensions[u.model.dimensionInd],p=f.trace,d=c.top+c.height/2;f.dimensions.length>1&&h.displayInd===f.dimensions.length-1?(i=c.left,a=\"left\"):(i=c.left+c.width,a=\"right\");var m=u.model.count,g=u.model.categoryLabel,v=m/u.parcatsViewModel.model.count,y={countLabel:m,categoryLabel:g,probabilityLabel:v.toFixed(3)},x=[];-1!==u.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&x.push([\"Count:\",y.countLabel].join(\" \")),-1!==u.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&x.push([\"P(\"+y.categoryLabel+\"):\",y.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:y,eventData:[{data:p._input,fullData:p,count:m,category:g,probability:v}]}}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;if(\"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)}))}(this),S(this,\"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)}(this),M(this,\"plotly_hover\",n.event)),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\"))\"category\"===l?e=E(r,a,this):\"color\"===l?e=function(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=r.getBoundingClientRect(),c=n.select(r).datum(),f=c.categoryViewModel,h=f.parcatsViewModel,p=h.model.dimensions[f.model.dimensionInd],d=h.trace,m=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,v=c.parcatsViewModel.model.count,y=0;c.categoryViewModel.bands.forEach((function(t){t.color===c.color&&(y+=t.count)}));var x=f.model.count,b=0;h.pathSelection.each((function(t){t.model.color===c.color&&(b+=t.model.count)}));var _=y/v,w=y/b,T=y/x,k={countLabel:v,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 \\u2229 \"+g+\"): \"+k.probabilityLabel),A.push(\"P(\"+g+\" | color): \"+w.toFixed(3)),A.push(\"P(color | \"+g+\"): \"+T.toFixed(3)));var M=A.join(\"<br>\"),S=u.mostReadable(c.color,[\"black\",\"white\"]);return{trace:d,x:o*(i-e.left),y:s*(m-e.top),text:M,color:c.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontColor:S,fontSize:10,idealAlign:a,hovertemplate:d.hovertemplate,hovertemplateLabels:k,eventData:[{data:d._input,fullData:d,category:g,count:v,probability:_,categorycount:x,colorcount:b,bandcolorcount:y}]}}(r,a,this):\"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,this)),e&&o.loneHover(e,{container:i._hoverlayer.node(),outerContainer:i._paper.node(),gd:r})}}function C(t){var e=t.parcatsViewModel;if(!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(m),-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 I(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,i=e+1,a=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=a.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var s=o.model.dragY,l=o.model.displayInd,c=a.categories,u=c[l-1],f=c[l+1];void 0!==u&&s<u.y+u.height/2&&(o.model.displayInd=u.model.displayInd,u.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),D(t.parcatsViewModel)}}function O(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll(\"text\").attr(\"font-weight\",\"normal\");var e={},r=z(t.parcatsViewModel),i=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),o=t.initialDragDimensionDisplayInds.some((function(t,e){return t!==i[e]}));o&&i.forEach((function(r,n){var i=t.parcatsViewModel.model.dimensions[n].containerInd;e[\"dimensions[\"+i+\"].displayindex\"]=r}));var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map((function(t){return t.displayInd}));if(s=t.initialDragCategoryDisplayInds.some((function(t,e){return t!==l[e]}))){var c=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),u=c.map((function(t){return t.categoryValue})),f=c.map((function(t){return t.categoryLabel}));e[\"dimensions[\"+t.model.containerInd+\"].categoryarray\"]=[u],e[\"dimensions[\"+t.model.containerInd+\"].ticktext\"]=[f],e[\"dimensions[\"+t.model.containerInd+\"].categoryorder\"]=\"array\"}}if(-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),D(t.parcatsViewModel,!0)})).each(\"end\",(function(){(o||s)&&a.restyle(t.parcatsViewModel.graphDiv,e,[r])}))}}function z(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 D(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,c=e.height,u=Math.floor(l*(s.x[1]-s.x[0])),f=Math.floor(c*(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 m={trace:o,key:o.uid,model:i,x:h,y:p,width:u,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(m),N(m)),m}function B(t,e,r,n,a){var o,s,l=[],c=[];for(s=0;s<r.length-1;s++)o=i(r[s]+t[s],t[s+1]),l.push(o(a)),c.push(o(1-a));var u=\"M \"+t[0]+\",\"+e[0];for(u+=\"l\"+r[0]+\",0 \",s=1;s<r.length;s++)u+=\"C\"+l[s-1]+\",\"+e[s-1]+\" \"+c[s-1]+\",\"+e[s]+\" \"+t[s]+\",\"+e[s],u+=\"l\"+r[s]+\",0 \";for(u+=\"l0,\"+n+\" \",u+=\"l -\"+r[r.length-1]+\",0 \",s=r.length-2;s>=0;s--)u+=\"C\"+c[s]+\",\"+(e[s+1]+n)+\" \"+l[s]+\",\"+(e[s]+n)+\" \"+(t[s]+r[s])+\",\"+(e[s]+n),u+=\"l-\"+r[s]+\",0 \";return u+=\"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})),c=[];for(var u in r.paths)r.paths.hasOwnProperty(u)&&c.push(r.paths[u]);function f(t){var e=t.categoryInds.map((function(t,e){return i[e][t]}));return o.map((function(t){return e[t]}))}c.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(c.length),p=e[0].model.count,d=e[0].categories.map((function(t){return t.height})).reduce((function(t,e){return t+e})),m=0;m<c.length;m++){var g,v=c[m];g=p>0?d*(v.count/p):0;for(var y,x=new Array(n.length),b=0;b<v.categoryInds.length;b++){var 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n=t(\"../../lib\").isTypedArray;r.convertTypedArray=function(t){return n(t)?Array.prototype.slice.call(t):t},r.isOrdinal=function(t){return!!t.tickvals},r.isVisible=function(t){return t.visible||!(\"visible\"in t)}},{\"../../lib\":503}],896:[function(t,e,r){\"use strict\";var n=t(\"./base_index\");n.plot=t(\"./plot\"),e.exports=n},{\"./base_index\":890,\"./plot\":900}],897:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),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 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);\\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) + 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I(t){r=t.model,n=t.viewModel,l=n.dimensions.slice(),g=l[0]?l[0].values.length:0;var e=r.lines,i=w?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 l=0;l<o;l++)i[a++]=l<e.length?e[l].paddedUnitValues[s]:.5;i[a++]=d(s,2),i[a++]=d(s,1),i[a++]=d(s,0),i[a++]=(n=r[s],Math.max(1e-6,Math.min(.999999,n)))}return i}(g,l,i);!function(t,e,r){for(var n=0;n<=o;n+=4)t[v(n)](m(n/4,e,r))}(E,g,a),_||w||(L=T.texture(s.extendFlat({data:p(r.unitToColor,255)},u)))}return{render:function(t,e,n){var i,a,o,s=t.length,c=1/0,u=-1/0;for(i=0;i<s;i++)t[i].dim0.canvasX<c&&(c=t[i].dim0.canvasX,a=i),t[i].dim1.canvasX>u&&(u=t[i].dim1.canvasX,o=i);0===s&&f(T,0,0,r.canvasWidth,r.canvasHeight);var p=function(t){var e,r,n,i=[[],[]];for(n=0;n<64;n++){var a=!t&&n<l.length?l[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<l.length;e++){var 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i=new Uint8Array(4*r*n);return T.read({x:t,y:e,width:r,height:n,data:i}),i},destroy:function(){for(var e in t.style[\"pointer-events\"]=\"none\",L.destroy(),b&&b.destroy(),E)E[e].destroy()},update:I}}},{\"../../lib\":503,\"./constants\":893,glslify:227}],898:[function(t,e,r){\"use strict\";e.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}},{}],899:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../lib\"),a=i.numberFormat,o=t(\"color-rgba\"),s=t(\"../../plots/cartesian/axes\"),l=i.strRotate,c=i.strTranslate,u=t(\"../../lib/svg_text_utils\"),f=t(\"../../components/drawing\"),h=t(\"../../components/colorscale\"),p=t(\"../../lib/gup\"),d=p.keyFun,m=p.repeat,g=p.unwrap,v=t(\"./helpers\"),y=t(\"./constants\"),x=t(\"./axisbrush\"),b=t(\"./lines\");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,c=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-c[0])/(c[1]-c[0]);return t-e+n*(2*e-t)}))):n.scale.linear().domain(c).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 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n=t(\"../../plots/attributes\"),i=t(\"../../plots/domain\").attributes,a=t(\"../../plots/font_attributes\"),o=t(\"../../components/color/attributes\"),s=t(\"../../plots/template_attributes\").hovertemplateAttrs,l=t(\"../../plots/template_attributes\").texttemplateAttrs,c=t(\"../../lib/extend\").extendFlat,u=a({editType:\"plot\",arrayOk:!0,colorEditType:\"plot\"});e.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\"},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:c({},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:c({},u,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:c({},u,{}),outsidetextfont:c({},u,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:c({},u,{}),position:{valType:\"enumerated\",values:[\"top 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r,i,a=[],o=t._fullLayout,l=o.hiddenlabels||[],c=e.labels,u=e.marker.colors||[],f=e.values,h=e._length,p=e._hasValues&&h;if(e.dlabel)for(c=new Array(h),r=0;r<h;r++)c[r]=String(e.label0+r*e.dlabel);var d={},m=s(o[\"_\"+e.type+\"colormap\"]),g=0,v=!1;for(r=0;r<h;r++){var y,x,b;if(p){if(y=f[r],!n(y))continue;y=+y}else y=1;void 0!==(x=c[r])&&\"\"!==x||(x=r);var _=d[x=String(x)];void 0===_?(d[x]=a.length,(b=-1!==l.indexOf(x))||(g+=y),a.push({v:y,label:x,color:m(u[r],x),i:r,pts:[r],hidden:b})):(v=!0,(i=a[_]).v+=y,i.pts.push(r),i.hidden||(g+=y),!1===i.color&&u[r]&&(i.color=m(u[r],x)))}return a=a.filter((function(t){return t.v>=0})),(\"funnelarea\"===e.type?v:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=g),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\"pie\");var n=t._fullLayout,i=t.calcdata,a=n[r+\"colorway\"],s=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(a=l(a,o));for(var c=0,u=0;u<i.length;u++){var f=i[u];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[c%a.length],c++))}}},makePullColorFn:s,generateExtendedColors:l}},{\"../../components/color\":366,\"fast-isnumeric\":190,tinycolor2:312}],904:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib\"),a=t(\"./attributes\"),o=t(\"../../plots/domain\").defaults,s=t(\"../bar/defaults\").handleText;function l(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 c=e[l];if(n(c)&&c>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}e.exports={handleLabelsAndValues:l,supplyDefaults:function(t,e,r,n){function c(r,n){return i.coerce(t,e,a,r,n)}var u=l(c(\"labels\"),c(\"values\")),f=u.len;if(e._hasLabels=u.hasLabels,e._hasValues=u.hasValues,!e._hasLabels&&e._hasValues&&(c(\"label0\"),c(\"dlabel\")),f){e._length=f,c(\"marker.line.width\")&&c(\"marker.line.color\"),c(\"marker.colors\"),c(\"scalegroup\");var h,p=c(\"text\"),d=c(\"texttemplate\");if(d||(h=c(\"textinfo\",Array.isArray(p)?\"text+percent\":\"percent\")),c(\"hovertext\"),c(\"hovertemplate\"),d||h&&\"none\"!==h){var m=c(\"textposition\");s(t,e,n,c,m,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(m)||\"auto\"===m||\"outside\"===m)&&c(\"automargin\"),(\"inside\"===m||\"auto\"===m||Array.isArray(m))&&c(\"insidetextorientation\")}o(e,n,c);var g=c(\"hole\");if(c(\"title.text\")){var v=c(\"title.position\",g?\"middle center\":\"top center\");g||\"middle center\"!==v||(e.title.position=\"top center\"),i.coerceFont(c,\"title.font\",n.font)}c(\"sort\"),c(\"direction\"),c(\"rotation\"),c(\"pull\")}else e.visible=!1}}},{\"../../lib\":503,\"../../plots/domain\":584,\"../bar/defaults\":652,\"./attributes\":901,\"fast-isnumeric\":190}],905:[function(t,e,r){\"use strict\";var n=t(\"../../components/fx/helpers\").appendArrayMultiPointValues;e.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}},{\"../../components/fx/helpers\":402}],906:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");function i(t){return-1!==t.indexOf(\"e\")?t.replace(/[.]?0+e/,\"e\"):-1!==t.indexOf(\".\")?t.replace(/[.]?0+$/,\"\"):t}r.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+\"%\"},r.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},r.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}},r.castOption=function(t,e){return Array.isArray(t)?r.getFirstFilled(t,e):t||void 0},r.getRotationAngle=function(t){return(\"auto\"===t?0:t)*Math.PI/180}},{\"../../lib\":503}],907:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\").supplyDefaults,supplyLayoutDefaults:t(\"./layout_defaults\"),layoutAttributes:t(\"./layout_attributes\"),calc:t(\"./calc\").calc,crossTraceCalc:t(\"./calc\").crossTraceCalc,plot:t(\"./plot\").plot,style:t(\"./style\"),styleOne:t(\"./style_one\"),moduleType:\"trace\",name:\"pie\",basePlotModule:t(\"./base_plot\"),categories:[\"pie-like\",\"pie\",\"showLegend\"],meta:{}}},{\"./attributes\":901,\"./base_plot\":902,\"./calc\":903,\"./defaults\":904,\"./layout_attributes\":908,\"./layout_defaults\":909,\"./plot\":910,\"./style\":911,\"./style_one\":912}],908:[function(t,e,r){\"use strict\";e.exports={hiddenlabels:{valType:\"data_array\",editType:\"calc\"},piecolorway:{valType:\"colorlist\",editType:\"calc\"},extendpiecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},{}],909:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./layout_attributes\");e.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"hiddenlabels\"),r(\"piecolorway\",e.colorway),r(\"extendpiecolors\")}},{\"../../lib\":503,\"./layout_attributes\":908}],910:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../plots/plots\"),a=t(\"../../components/fx\"),o=t(\"../../components/color\"),s=t(\"../../components/drawing\"),l=t(\"../../lib\"),c=l.strScale,u=l.strTranslate,f=t(\"../../lib/svg_text_utils\"),h=t(\"../bar/uniform_text\"),p=h.recordMinTextSize,d=h.clearMinTextSize,m=t(\"../bar/constants\").TEXTPAD,g=t(\"./helpers\"),v=t(\"./event_data\"),y=t(\"../../lib\").isValidTextValue;function x(t,e,r){var i=r[0],o=i.cx,s=i.cy,c=i.trace,u=\"funnelarea\"===c.type;\"_hasHoverLabel\"in c||(c._hasHoverLabel=!1),\"_hasHoverEvent\"in c||(c._hasHoverEvent=!1),t.on(\"mouseover\",(function(t){var r=e._fullLayout,f=e._fullData[c.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:c._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),m=s+t.pxmid[1]*(1-p),y=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,y),h&&-1!==h.indexOf(\"value\")&&x.push(t.valueLabel),t.percent=t.v/i.vTotal,t.percentLabel=g.formatPiePercent(t.percent,y),h&&-1!==h.indexOf(\"percent\")&&x.push(t.percentLabel);var _=f.hoverlabel,w=_.font,T=[];a.loneHover({trace:c,x0:d-p*i.r,x1:d+p*i.r,y:m,_x0:u?o+t.TL[0]:d-p*i.r,_x1:u?o+t.TR[0]:d+p*i.r,_y0:u?s+t.TL[1]:m-p*i.r,_y1:u?s+t.BL[1]:m+p*i.r,text:x.join(\"<br>\"),name: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:[v(t,f)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],c._hasHoverLabel=!0}c._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[v(t,f)],event:n.event})}})),t.on(\"mouseout\",(function(t){var r=e._fullLayout,i=e._fullData[c.index],o=n.select(this).datum();c._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[v(o,i)],event:n.event}),c._hasHoverEvent=!1),c._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),c._hasHoverLabel=!1)})),t.on(\"click\",(function(t){var r=e._fullLayout,i=e._fullData[c.index];e._dragging||!1===r.hovermode||(e._hoverdata=[v(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),c=s.bBox(o.node(),!0);r.titleBox={width:c.width,height:c.height},o.remove()}}function w(t,e,r){var n=r.r||e.rpx1,i=e.rInscribed;if(e.startangle===e.stopangle)return{rCenter:1-i,scale:0,rotate:0,textPosAngle:0};var a,o=e.ring,s=1===o&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,l=e.halfangle,c=e.midangle,u=r.trace.insidetextorientation,f=\"horizontal\"===u,h=\"tangential\"===u,p=\"radial\"===u,d=\"auto\"===u,m=[];if(!d){var g,v=function(r,i){if(function(t,e){var r=t.startangle,n=t.stopangle;return r>e&&e>n||r<e&&e<n}(e,r)){var s=Math.abs(r-e.startangle),l=Math.abs(r-e.stopangle),c=s<l?s:l;(a=\"tan\"===i?k(t,n,o,c,0):T(t,n,o,c,Math.PI/2)).textPosAngle=r,m.push(a)}};if(f||h){for(g=4;g>=-4;g-=2)v(Math.PI*g,\"tan\");for(g=4;g>=-4;g-=2)v(Math.PI*(g+1),\"tan\")}if(f||p){for(g=4;g>=-4;g-=2)v(Math.PI*(g+1.5),\"rad\");for(g=4;g>=-4;g-=2)v(Math.PI*(g+.5),\"rad\")}}if(s||d||f){var y=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/y,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;m.push(a)}(d||p)&&((a=T(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,m.push(a)),(d||h)&&((a=k(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,m.push(a));for(var x=0,b=0,_=0;_<m.length;_++){var w=m[_].scale;if(b<w&&(b=w,x=_),!d&&b>=1)break}return m[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*m);var a=t.width/t.height,o=S(a,n,e,r);return{scale:2*o/t.height,rCenter:A(a,o/e),rotate:M(i)}}function k(t,e,r,n,i){e=Math.max(0,e-2*m);var a=t.height/t.width,o=S(a,n,e,r);return{scale:2*o/t.width,rCenter:A(a,o/e),rotate:M(i+Math.PI/2)}}function A(t,e){return Math.cos(e)-t*e}function M(t){return(180/Math.PI*t+720)%180-90}function S(t,e,r,n){var i=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(i*i+.5)+i),n/(Math.sqrt(t*t+n/2)+t))}function E(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function 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=I(a),-1!==a.title.position.indexOf(\"top\")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf(\"bottom\")&&(o.y+=(1+i)*t.r);var l,c,u=(l=t.r,c=t.trace.aspectratio,l/(void 0===c?1:c)),f=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf(\"left\")?(f+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf(\"center\")?f*=2:-1!==a.title.position.indexOf(\"right\")&&(f+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=f/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 I(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 O(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 c=s/2,u=l/2;\"funnelarea\"!==a.type||a.scalegroup||(u/=a.aspectratio),i.r=Math.min(c,u)/(1+I(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(r=t[n][0],(i=r.trace).scalegroup===s){var l;if(\"pie\"===i.type)l=r.r*r.r;else if(\"funnelarea\"===i.type){var c,u;i.aspectratio>1?(c=r.r,u=c/i.aspectratio):(u=r.r,c=u*i.aspectratio),c*=(1+i.baseratio)/2,l=c*u}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if(r=t[n][0],(i=r.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 z(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function D(t,e,r){var n=t._fullLayout,i=r.trace,a=i.texttemplate,o=i.textinfo;if(!a&&o&&\"none\"!==o){var s,c=o.split(\"+\"),u=function(t){return-1!==c.indexOf(t)},f=u(\"label\"),h=u(\"text\"),p=u(\"value\"),d=u(\"percent\"),m=n.separators;if(s=f?[e.label]:[],h){var v=g.getFirstFilled(i.text,e.pts);y(v)&&s.push(v)}p&&s.push(g.formatPieValue(e.v,m)),d&&s.push(g.formatPiePercent(e.v/r.vTotal,m)),e.text=s.join(\"<br>\")}if(a){var x=l.castOption(i,e.i,\"texttemplate\");if(x){var 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);(y(_)||\"\"===_)&&(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}e.exports={plot:function(t,e){var r=t._fullLayout,a=r._size;d(\"pie\",r),_(e,t),O(e,a);var h=l.makeTraceGroups(r._pielayer,e,\"trace\").each((function(e){var h=n.select(this),d=e[0],m=d.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=g.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,c=\"px0\",u=\"px1\";if(\"counterclockwise\"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,c=\"px1\",u=\"px0\"}for(n=z(a,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[c]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=z(a,s),r.midangle=s,s+=l*r.v/2,n=z(a,s),r.stopangle=s,r[u]=n,r.largeArc=r.v>i.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),h.attr(\"stroke-linejoin\",\"round\"),h.each((function(){var v=n.select(this).selectAll(\"g.slice\").data(e);v.enter().append(\"g\").classed(\"slice\",!0),v.exit().remove();var y=[[[],[]],[[],[]]],_=!1;v.each((function(i,a){if(i.hidden)n.select(this).selectAll(\"path,g\").remove();else{i.pointNumber=i.i,i.curveNumber=m.index,y[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var o=d.cx,c=d.cy,u=n.select(this),h=u.selectAll(\"path.surface\").data([i]);if(h.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":\"all\"}),u.call(x,t,e),m.pull){var v=+g.castOption(m.pull,i.pts)||0;v>0&&(o+=v*i.pxmid[0],c+=v*i.pxmid[1])}i.cxFinal=o,i.cyFinal=c;var T=m.hole;if(i.v===d.vTotal){var k=\"M\"+(o+i.px0[0])+\",\"+(c+i.px0[1])+C(i.px0,i.pxmid,!0,1)+C(i.pxmid,i.px0,!0,1)+\"Z\";T?h.attr(\"d\",\"M\"+(o+T*i.px0[0])+\",\"+(c+T*i.px0[1])+C(i.px0,i.pxmid,!1,T)+C(i.pxmid,i.px0,!1,T)+\"Z\"+k):h.attr(\"d\",k)}else{var A=C(i.px0,i.px1,!0,1);if(T){var M=1-T;h.attr(\"d\",\"M\"+(o+T*i.px1[0])+\",\"+(c+T*i.px1[1])+C(i.px1,i.px0,!1,T)+\"l\"+M*i.px0[0]+\",\"+M*i.px0[1]+A+\"Z\")}else h.attr(\"d\",\"M\"+o+\",\"+c+\"l\"+i.px0[0]+\",\"+i.px0[1]+A+\"Z\")}D(t,i,d);var S=g.castOption(m.textposition,i.pts),E=u.selectAll(\"g.slicetext\").data(i.text&&\"none\"!==S?[0]:[]);E.enter().append(\"g\").classed(\"slicetext\",!0),E.exit().remove(),E.each((function(){var u=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),h=l.ensureUniformFontSize(t,\"outside\"===S?function(t,e,r){var n=g.castOption(t.outsidetextfont.color,e.pts)||g.castOption(t.textfont.color,e.pts)||r.color,i=g.castOption(t.outsidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.outsidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size;return{color:n,family:i,size:a}}(m,i,r.font):b(m,i,r.font));u.text(i.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,h).call(f.convertToTspans,t);var v,y=s.bBox(u.node());if(\"outside\"===S)v=L(y,i);else if(v=w(y,i,d),\"auto\"===S&&v.scale<1){var x=l.ensureUniformFontSize(t,m.outsidetextfont);u.call(s.font,x),v=L(y=s.bBox(u.node()),i)}var T=v.textPosAngle,k=void 0===T?i.pxmid:z(d.r,T);if(v.targetX=o+k[0]*v.rCenter+(v.x||0),v.targetY=c+k[1]*v.rCenter+(v.y||0),R(v,y),v.outside){var A=v.targetY;i.yLabelMin=A-y.height/2,i.yLabelMid=A,i.yLabelMax=A+y.height/2,i.labelExtraX=0,i.labelExtraY=0,_=!0}v.fontSize=h.size,p(m.type,v,r),e[a].transform=v,u.attr(\"transform\",l.getTextTransform(v))}))}function C(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*d.r+\",\"+n*d.r+\" 0 \"+i.largeArc+(r?\" 1 \":\" 0 \")+a+\",\"+o}}));var T=n.select(this).selectAll(\"g.titletext\").data(m.title.text?[0]:[]);if(T.enter().append(\"g\").classed(\"titletext\",!0),T.exit().remove(),T.each((function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),i=m.title.text;m._meta&&(i=l.templateString(i,m._meta)),r.text(i).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,m.title.font).call(f.convertToTspans,t),e=\"middle center\"===m.title.position?function(t){var e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(d):C(d,a),r.attr(\"transform\",u(e.x,e.y)+c(Math.min(1,e.scale))+u(e.tx,e.ty))})),_&&function(t,e){var r,n,i,a,o,s,l,c,u,f,h,p,d;function m(t,e){return t.pxmid[1]-e.pxmid[1]}function v(t,e){return e.pxmid[1]-t.pxmid[1]}function y(t,r){r||(r={});var 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n=t(\"@plotly/d3\"),i=t(\"../../lib\"),a=i.numberFormat,o=t(\"./render\"),s=t(\"../../components/fx\"),l=t(\"../../components/color\"),c=t(\"./constants\").cn,u=i._;function f(t){return\"\"!==t}function h(t,e){return t.filter((function(t){return t.key===e.traceId}))}function p(t,e){n.select(t).select(\"path\").style(\"fill-opacity\",e),n.select(t).select(\"rect\").style(\"fill-opacity\",e)}function d(t){n.select(t).select(\"text.name\").style(\"fill\",\"black\")}function m(t){return function(e){return-1!==t.node.sourceLinks.indexOf(e.link)||-1!==t.node.targetLinks.indexOf(e.link)}}function g(t){return function(e){return-1!==e.node.sourceLinks.indexOf(t.link)||-1!==e.node.targetLinks.indexOf(t.link)}}function v(t,e,r){e&&r&&h(r,e).selectAll(\".\"+c.sankeyLink).filter(m(e)).call(x.bind(0,e,r,!1))}function y(t,e,r){e&&r&&h(r,e).selectAll(\".\"+c.sankeyLink).filter(m(e)).call(b.bind(0,e,r,!1))}function x(t,e,r,n){var i=n.datum().link.label;n.style(\"fill-opacity\",(function(t){if(!t.link.concentrationscale)return.4})),i&&h(e,t).selectAll(\".\"+c.sankeyLink).filter((function(t){return t.link.label===i})).style(\"fill-opacity\",(function(t){if(!t.link.concentrationscale)return.4})),r&&h(e,t).selectAll(\".\"+c.sankeyNode).filter(g(t)).call(v)}function b(t,e,r,n){var i=n.datum().link.label;n.style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})),i&&h(e,t).selectAll(\".\"+c.sankeyLink).filter((function(t){return t.link.label===i})).style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})),r&&h(e,t).selectAll(c.sankeyNode).filter(g(t)).call(y)}function _(t,e){var r=t.hoverlabel||{},n=i.nestedProperty(r,e).get();return!Array.isArray(n)&&n}e.exports=function(t,e){for(var r=t._fullLayout,i=r._paper,h=r._size,m=0;m<t._fullData.length;m++)if(t._fullData[m].visible&&t._fullData[m].type===c.sankey&&!t._fullData[m]._viewInitial){var g=t._fullData[m].node;t._fullData[m]._viewInitial={node:{groups:g.groups.slice(),x:g.x.slice(),y:g.y.slice()}}}var w=u(t,\"source:\")+\" \",T=u(t,\"target:\")+\" \",k=u(t,\"concentration:\")+\" \",A=u(t,\"incoming flow count:\")+\" \",M=u(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 c=[],u=0,h=0;h<i.flow.links.length;h++){var m=i.flow.links[h];if(\"closest\"!==t._fullLayout.hovermode||i.link.pointNumber===m.pointNumber){i.link.pointNumber===m.pointNumber&&(u=h),m.fullData=m.trace,o=i.link.trace.link;var g=y(m),v={valueLabel:a(i.valueFormat)(m.value)+i.valueSuffix};c.push({x:g[0],y:g[1],name:v.valueLabel,text:[m.label||\"\",w+m.source.label,T+m.target.label,m.concentrationscale?k+a(\"%0.2f\")(m.flow.labelConcentration):\"\"].filter(f).join(\"<br>\"),color:_(o,\"bgcolor\")||l.addOpacity(m.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:v,eventData:[m]})}}s.loneHover(c,{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t,anchorIndex:u}).each((function(){i.link.concentrationscale||p(this,.65),d(this)}))}}function y(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(v,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(\".\"+c.nodeRect),u=t._fullLayout._paperdiv.node().getBoundingClientRect(),h=l.node().getBoundingClientRect(),m=h.left-2-u.left,g=h.right+2-u.left,v=h.top+h.height/4-u.top,y={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*m,x1:x*g,y:b*v,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:y,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(y,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(y,r,i),s.click(t,{target:!0})}}})}},{\"../../components/color\":366,\"../../components/fx\":406,\"../../lib\":503,\"./constants\":920,\"./render\":924,\"@plotly/d3\":58}],924:[function(t,e,r){\"use strict\";var n=t(\"d3-force\"),i=t(\"d3-interpolate\").interpolateNumber,a=t(\"@plotly/d3\"),o=t(\"@plotly/d3-sankey\"),s=t(\"@plotly/d3-sankey-circular\"),l=t(\"./constants\"),c=t(\"tinycolor2\"),u=t(\"../../components/color\"),f=t(\"../../components/drawing\"),h=t(\"../../lib\"),p=h.strTranslate,d=h.strRotate,m=t(\"../../lib/gup\"),g=m.keyFun,v=m.repeat,y=m.unwrap,x=t(\"../../lib/svg_text_utils\"),b=t(\"../../registry\"),_=t(\"../../constants/alignment\"),w=_.CAP_SHIFT,T=_.LINE_SPACING;function k(t,e,r){var n,i=y(e),a=i.trace,u=a.domain,f=\"h\"===a.orientation,p=a.node.pad,d=a.node.thickness,m=t.width*(u.x[1]-u.x[0]),g=t.height*(u.y[1]-u.y[0]),v=i._nodes,x=i._links,b=i.circular;(n=b?s.sankeyCircular().circularLinkGap(0):o.sankey()).iterations(l.sankeyIterations).size(f?[m,g]:[g,m]).nodeWidth(d).nodePadding(p).nodeId((function(t){return t.pointNumber})).nodes(v).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=c(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 u=0;for(w=0;w<r.targetLinks.length;w++)u+=r.targetLinks[w].value;for(w=0;w<r.targetLinks.length;w++)(e=r.targetLinks[w]).concenrationIn=e.value/u}}(),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[_]*m,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}if(\"snap\"===a.arrangement)!function(t){t.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}))}(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}(v=k.nodes));n.update(k)}return{circular:b,key:r,trace:a,guid:h.randstr(),horizontal:f,width:m,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,valueFormat:a.valueformat,valueSuffix:a.valuesuffix,textFont:a.textfont,translateX:u.x[0]*t.width+t.margin.l,translateY:t.height-u.y[1]*t.height+t.margin.t,dragParallel:f?g:m,dragPerpendicular:f?m:g,arrangement:a.arrangement,sankey:n,graph:k,forceLayouts:{},interactionState:{dragInProgress:!1,hovered:!1}}}function A(t,e,r){var n=c(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:u.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkPath:M,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function M(){return function(t){if(t.link.circular)return e=t.link,r=e.width/2,n=e.circularPathData,\"top\"===e.circularLinkType?\"M \"+n.targetX+\" \"+(n.targetY+r)+\" L\"+n.rightInnerExtent+\" \"+(n.targetY+r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 1 \"+(n.rightFullExtent-r)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 1 \"+n.rightInnerExtent+\" \"+(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+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 0 \"+(n.rightFullExtent+r)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 0 \"+n.rightInnerExtent+\" \"+(n.targetY-r)+\"L\"+n.targetX+\" \"+(n.targetY-r)+\"Z\":\"M \"+n.targetX+\" \"+(n.targetY-r)+\" L\"+n.rightInnerExtent+\" \"+(n.targetY-r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 0 \"+(n.rightFullExtent-r)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 0 \"+n.rightInnerExtent+\" \"+(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+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 1 \"+(n.rightFullExtent+r)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 1 \"+n.rightInnerExtent+\" \"+(n.targetY+r)+\"L\"+n.targetX+\" \"+(n.targetY+r)+\"Z\";var e,r,n,a=t.link.source.x1,o=t.link.target.x0,s=i(a,o),l=s(.5),c=s(.5),u=t.link.y0-t.link.width/2,f=t.link.y0+t.link.width/2,h=t.link.y1-t.link.width/2,p=t.link.y1+t.link.width/2;return\"M\"+a+\",\"+u+\"C\"+l+\",\"+u+\" \"+c+\",\"+h+\" 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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:u.tinyRGB(r),tinyColorAlpha:r.getAlpha(),valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,graph:t.graph,arrangement:t.arrangement,uniqueNodeLabelPathId:[t.guid,t.key,s].join(\"_\"),interactionState:t.interactionState,figure:t}}function E(t){t.attr(\"transform\",(function(t){return p(t.node.x0.toFixed(3),t.node.y0.toFixed(3))}))}function L(t){t.call(E)}function 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g=\"projection.\"+d[m];f(g+\".show\")&&(f(g+\".opacity\"),f(g+\".scale\"))}var v=n.getComponentMethod(\"errorbars\",\"supplyDefaults\");v(t,e,h||p||r,{axis:\"z\"}),v(t,e,h||p||r,{axis:\"y\",inherit:\"z\"}),v(t,e,h||p||r,{axis:\"x\",inherit:\"z\"})}else e.visible=!1}},{\"../../lib\":503,\"../../registry\":638,\"../scatter/line_defaults\":940,\"../scatter/marker_defaults\":946,\"../scatter/subtypes\":952,\"../scatter/text_defaults\":953,\"./attributes\":955}],960:[function(t,e,r){\"use 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n=t(\"../scatter/attributes\"),i=t(\"../../plots/attributes\"),a=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../../plots/template_attributes\").texttemplateAttrs,s=t(\"../../components/colorscale/attributes\"),l=t(\"../../lib/extend\").extendFlat,c=n.marker,u=n.line,f=c.line;e.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:u.color,width:u.width,dash:u.dash,shape:l({},u.shape,{values:[\"linear\",\"spline\"]}),smoothing:u.smoothing,editType:\"calc\"},connectgaps:n.connectgaps,fill:l({},n.fill,{values:[\"none\",\"toself\",\"tonext\"],dflt:\"none\"}),fillcolor:n.fillcolor,marker:l({symbol:c.symbol,opacity:c.opacity,maxdisplayed:c.maxdisplayed,size:c.size,sizeref:c.sizeref,sizemin:c.sizemin,sizemode:c.sizemode,line:l({width:f.width,editType:\"calc\"},s(\"marker.line\")),gradient:c.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()}},{\"../../components/colorscale/attributes\":373,\"../../lib/extend\":493,\"../../plots/attributes\":550,\"../../plots/template_attributes\":633,\"../scatter/attributes\":927}],962:[function(t,e,r){\"use 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n=t(\"../../lib\"),i=t(\"../scatter/constants\"),a=t(\"../scatter/subtypes\"),o=t(\"../scatter/marker_defaults\"),s=t(\"../scatter/line_defaults\"),l=t(\"../scatter/line_shape_defaults\"),c=t(\"../scatter/text_defaults\"),u=t(\"../scatter/fillcolor_defaults\"),f=t(\"./attributes\");e.exports=function(t,e,r,h){function p(r,i){return n.coerce(t,e,f,r,i)}p(\"carpet\"),e.xaxis=\"x\",e.yaxis=\"y\";var d=p(\"a\"),m=p(\"b\"),g=Math.min(d.length,m.length);if(g){e._length=g,p(\"text\"),p(\"texttemplate\"),p(\"hovertext\"),p(\"mode\",g<i.PTS_LINESONLY?\"lines+markers\":\"lines\"),a.hasLines(e)&&(s(t,e,r,h,p),l(t,e,p),p(\"connectgaps\")),a.hasMarkers(e)&&o(t,e,r,h,p,{gradient:!0}),a.hasText(e)&&c(t,e,h,p);var v=[];(a.hasMarkers(e)||a.hasText(e))&&(p(\"marker.maxdisplayed\"),v.push(\"points\")),p(\"fill\"),\"none\"!==e.fill&&(u(t,e,r,p),a.hasLines(e)||l(t,e,p)),\"tonext\"!==e.fill&&\"toself\"!==e.fill||v.push(\"fills\"),\"fills\"!==p(\"hoveron\",v.join(\"+\")||\"points\")&&p(\"hovertemplate\"),n.coerceSelectionMarkerOpacity(e,p)}else e.visible=!1}},{\"../../lib\":503,\"../scatter/constants\":931,\"../scatter/fillcolor_defaults\":935,\"../scatter/line_defaults\":940,\"../scatter/line_shape_defaults\":942,\"../scatter/marker_defaults\":946,\"../scatter/subtypes\":952,\"../scatter/text_defaults\":953,\"./attributes\":961}],964:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n,i){var a=n[i];return t.a=a.a,t.b=a.b,t.y=a.y,t}},{}],965:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r={},n=e._carpet,i=n.ab2ij([t.a,t.b]),a=Math.floor(i[0]),o=i[0]-a,s=Math.floor(i[1]),l=i[1]-s,c=n.evalxy([],a,s,o,l);return r.yLabel=c[1].toFixed(3),r}},{}],966:[function(t,e,r){\"use strict\";var n=t(\"../scatter/hover\"),i=t(\"../../lib\").fillText;e.exports=function(t,e,r,a){var o=n(t,e,r,a);if(o&&!1!==o[0].index){var s=o[0];if(void 0===s.index){var l=1-s.y0/t.ya._length,c=t.xa._length,u=c*l/2,f=c-u;return s.x0=Math.max(Math.min(s.x0,f),u),s.x1=Math.max(Math.min(s.x1,f),u),o}var h=s.cd[s.index];s.a=h.a,s.b=h.b,s.xLabelVal=void 0,s.yLabelVal=void 0;var p=s.trace,d=p._carpet,m=p._module.formatLabels(h,p);s.yLabel=m.yLabel,delete s.text;var g=[];if(!p.hovertemplate){var v=(h.hi||p.hoverinfo).split(\"+\");-1!==v.indexOf(\"all\")&&(v=[\"a\",\"b\",\"text\"]),-1!==v.indexOf(\"a\")&&y(d.aaxis,h.a),-1!==v.indexOf(\"b\")&&y(d.baxis,h.b),g.push(\"y: \"+s.yLabel),-1!==v.indexOf(\"text\")&&i(h,p,g),s.extraText=g.join(\"<br>\")}return o}function y(t,e){var r;r=t.labelprefix&&t.labelprefix.length>0?t.labelprefix.replace(/ = $/,\"\"):t._hovertitle,g.push(r+\": \"+e.toFixed(3)+t.labelsuffix)}}},{\"../../lib\":503,\"../scatter/hover\":938}],967:[function(t,e,r){\"use 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n=t(\"../../lib\"),i=t(\"../scatter/subtypes\"),a=t(\"../scatter/marker_defaults\"),o=t(\"../scatter/line_defaults\"),s=t(\"../scatter/text_defaults\"),l=t(\"../scatter/fillcolor_defaults\"),c=t(\"./attributes\");e.exports=function(t,e,r,u){function f(r,i){return n.coerce(t,e,c,r,i)}var h,p=f(\"locations\");if(p&&p.length){var d,m=f(\"geojson\");(\"string\"==typeof m&&\"\"!==m||n.isPlainObject(m))&&(d=\"geojson-id\"),\"geojson-id\"===f(\"locationmode\",d)&&f(\"featureidkey\"),h=p.length}else{var 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M=p.font[r]={};M.size=(s.isTypedArray(f)?f[r]:Array.isArray(f)?n(f[r])?f[r]:0:f)*d,M.family=Array.isArray(h)?h[r]:h}else p.font={size:f*d,family:h};return p}function x(t){var e,r,n=t._length,i=t.marker,o={},l=s.isArrayOrTypedArray(i.symbol),c=s.isArrayOrTypedArray(i.color),f=s.isArrayOrTypedArray(i.line.color),d=s.isArrayOrTypedArray(i.opacity),m=s.isArrayOrTypedArray(i.size),g=s.isArrayOrTypedArray(i.line.width);if(l||(r=p.isOpenSymbol(i.symbol)),l||c||f||d){o.colors=new Array(n),o.borderColors=new Array(n);var v=u(i,i.opacity,n),y=u(i.line,i.opacity,n);if(!Array.isArray(y[0])){var x=y;for(y=Array(n),e=0;e<n;e++)y[e]=x}if(!Array.isArray(v[0])){var b=v;for(v=Array(n),e=0;e<n;e++)v[e]=b}for(o.colors=v,o.borderColors=y,e=0;e<n;e++){if(l){var _=i.symbol[e];r=p.isOpenSymbol(_)}r&&(y[e]=v[e].slice(),v[e]=v[e].slice(),v[e][3]=0)}o.opacity=t.opacity}else 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i={opacity:1,text:e.text,texttemplate:e.texttemplate,textposition:e.textposition,textfont:s.extendFlat({},e.textfont)};r.textfont&&s.extendFlat(i.textfont,r.textfont),n=y(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){if(\"circle\"===t)return null;var e,r,n=l.symbolNumber(t),a=l.symbolFuncs[n%100],o=!!l.symbolNoDot[n%100],s=!!l.symbolNoFill[n%100],c=p.isDotSymbol(t);return M[t]?M[t]:(e=c&&!o?a(1.1*k)+S:a(k),r=i(e,{w:T,h:T,viewBox:[-k,-k,k,k],stroke:s?A:-A}),M[t]=r,r||null)}e.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 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T=y-_,k=y+w;p[v+u[0]]=x-i.c2l(T),p[v+u[1]]=i.c2l(k)-x,p[v+u[2]]=0,p[v+u[3]]=0,d=Math.min(d,y-_),m=Math.max(m,y+w)}}}h[a]={positions:r,errors:p,_bnds:[d,m]}}}return p(i,l),p(a,u),h},textPosition:function(t,e,r,n){var i,a=e._length,o={};if(f.hasMarkers(e)){var s=r.font,l=r.align,c=r.baseline;for(o.offset=new Array(a),i=0;i<a;i++){var u=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(c)?c.length>1?c[i]:c[0]:c,m=g[p],v=g[d],y=u?u/.8+1:0,x=-v*y-.5*v;o.offset[i]=[m*y/h,x/h]}}return o}}},{\"../../components/drawing\":388,\"../../components/fx/helpers\":402,\"../../constants/interactions\":478,\"../../lib\":503,\"../../lib/gl_format_color\":499,\"../../plots/cartesian/axis_ids\":558,\"../../registry\":638,\"../scatter/make_bubble_size_func\":944,\"../scatter/subtypes\":952,\"./constants\":982,\"./helpers\":987,\"color-normalize\":89,\"fast-isnumeric\":190,\"svg-path-sdf\":310}],984:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../registry\"),a=t(\"./helpers\"),o=t(\"./attributes\"),s=t(\"../scatter/constants\"),l=t(\"../scatter/subtypes\"),c=t(\"../scatter/xy_defaults\"),u=t(\"../scatter/period_defaults\"),f=t(\"../scatter/marker_defaults\"),h=t(\"../scatter/line_defaults\"),p=t(\"../scatter/fillcolor_defaults\"),d=t(\"../scatter/text_defaults\");e.exports=function(t,e,r,m){function g(r,i){return n.coerce(t,e,o,r,i)}var v=!!t.marker&&a.isOpenSymbol(t.marker.symbol),y=l.isBubble(t),x=c(t,e,m,g);if(x){u(t,e,m,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,m,g),g(\"line.shape\")),l.hasMarkers(e)&&(f(t,e,r,m,g),g(\"marker.line.width\",v||y?1:0)),l.hasText(e)&&(g(\"texttemplate\"),d(t,e,m,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}},{\"../../lib\":503,\"../../registry\":638,\"../scatter/constants\":931,\"../scatter/fillcolor_defaults\":935,\"../scatter/line_defaults\":940,\"../scatter/marker_defaults\":946,\"../scatter/period_defaults\":947,\"../scatter/subtypes\":952,\"../scatter/text_defaults\":953,\"../scatter/xy_defaults\":954,\"./attributes\":979,\"./helpers\":987}],985:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/color\"),a=t(\"../../constants/interactions\").DESELECTDIM;e.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,c=l._scene,u=l.index,f=c.selectBatch[u],h=c.unselectBatch[u],p=c.textOptions[u],d=c.textSelectedOptions[u]||{},m=c.textUnselectedOptions[u]||{},g=n.extendFlat({},p);if(f.length||h.length){var v=d.color,y=m.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]=v||(b?x[r]:x);for(e=0;e<h.length;e++){r=h[e];var _=b?x[r]:x;g.color[r]=y||(v?_:i.addOpacity(_,a))}}c.glText[u].update(g)}}},{\"../../components/color\":366,\"../../constants/interactions\":478,\"../../lib\":503}],986:[function(t,e,r){\"use strict\";var n=t(\"../scatter/format_labels\");e.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)}},{\"../scatter/format_labels\":936}],987:[function(t,e,r){\"use strict\";var n=t(\"./constants\");r.isOpenSymbol=function(t){return\"string\"==typeof t?n.OPEN_RE.test(t):t%200>100},r.isDotSymbol=function(t){return\"string\"==typeof t?n.DOT_RE.test(t):t>200}},{\"./constants\":982}],988:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),i=t(\"../../lib\"),a=t(\"../scatter/get_trace_color\");function o(t,e,r,o){var s=t.xa,l=t.ya,c=t.distance,u=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.mc=i.isArrayOrTypedArray(d.color)?d.color[f]:d.color);var m=d&&d.line;m&&(h.mlc=Array.isArray(m.color)?m.color[f]:m.color,h.mlw=i.isArrayOrTypedArray(m.width)?m.width[f]:m.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 v=s.c2p(h.x,!0),y=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:v-x,x1:v+x,xLabelVal:k?k[f]:h.x,y0:y-x,y1:y+x,yLabelVal:A?A[f]:h.y,cd:T,distance:c,spikeDistance:u,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}e.exports={hoverPoints:function(t,e,r,n){var i,a,s,l,c,u,f,h,p,d,m=t.cd,g=m[0].t,v=m[0].trace,y=t.xa,x=t.ya,b=g.x,_=g.y,w=y.c2p(e),T=x.c2p(r),k=t.distance;if(g.tree){var A=y.p2c(w-k),M=y.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=!!v.xperiodalignment,P=!!v.yperiodalignment;for(u=0;u<i.length;u++){if(l=b[a=i[u]],f=Math.abs(y.c2p(l)-w),C){var I=y.c2p(v._xStarts[a]),O=y.c2p(v._xEnds[a]);f=w>=Math.min(I,O)&&w<=Math.max(I,O)?0:1/0}if(f<L){if(L=f,c=_[a],h=x.c2p(c)-T,P){var z=x.c2p(v._yStarts[a]),D=x.c2p(v._yEnds[a]);h=T>=Math.min(z,D)&&T<=Math.max(z,D)?0:1/0}d=Math.sqrt(f*f+h*h),s=i[u]}}}else for(u=i.length-1;u>-1;u--)l=b[a=i[u]],c=_[a],f=y.c2p(l)-w,h=x.c2p(c)-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 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_=y.count,w=v._glcanvas.data()[0].regl;if(f(t,e,r),y.dirty){if(!0===y.error2d&&(y.error2d=a(w)),!0===y.line2d&&(y.line2d=i(w)),!0===y.scatter2d&&(y.scatter2d=n(w)),!0===y.fill2d&&(y.fill2d=i(w)),!0===y.glText)for(y.glText=new Array(_),m=0;m<_;m++)y.glText[m]=new o(w);if(y.glText){if(_>y.glText.length){var T=_-y.glText.length;for(m=0;m<T;m++)y.glText.push(new o(w))}else if(_<y.glText.length){var k=y.glText.length-_;y.glText.splice(_,k).forEach((function(t){t.destroy()}))}for(m=0;m<_;m++)y.glText[m].update(y.textOptions[m])}if(y.line2d&&(y.line2d.update(y.lineOptions),y.lineOptions=y.lineOptions.map((function(t){if(t&&t.positions){for(var e=t.positions,r=0;r<e.length&&(isNaN(e[r])||isNaN(e[r+1]));)r+=2;for(var n=e.length-2;n>r&&(isNaN(e[n])||isNaN(e[n+1]));)n-=2;t.positions=e.slice(r,n+2)}return t})),y.line2d.update(y.lineOptions)),y.error2d){var A=(y.errorXOptions||[]).concat(y.errorYOptions||[]);y.error2d.update(A)}y.scatter2d&&y.scatter2d.update(y.markerOptions),y.fillOrder=s.repeat(null,_),y.fill2d&&(y.fillOptions=y.fillOptions.map((function(t,e){var n=r[e];if(t&&n&&n[0]&&n[0].trace){var i,a,o=n[0],s=o.trace,l=o.t,c=y.lineOptions[e],u=[];s._ownfill&&u.push(e),s._nexttrace&&u.push(e+1),u.length&&(y.fillOrder[e]=u);var f,h,p=[],d=c&&c.positions||l.positions;if(\"tozeroy\"===s.fill){for(f=0;f<d.length&&isNaN(d[f+1]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h+1]);)h-=2;0!==d[f+1]&&(p=[d[f],0]),p=p.concat(d.slice(f,h+2)),0!==d[h+1]&&(p=p.concat([d[h],0]))}else if(\"tozerox\"===s.fill){for(f=0;f<d.length&&isNaN(d[f]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h]);)h-=2;0!==d[f]&&(p=[0,d[f+1]]),p=p.concat(d.slice(f,h+2)),0!==d[h]&&(p=p.concat([0,d[h+1]]))}else 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R=y.selectBatch[I]=s.selIndices2selPoints(C),F={};for(g=0;g<R.length;g++)F[R[g]]=1;var B=[];for(g=0;g<O;g++)F[g]||B.push(g);y.unselectBatch[I]=B}var N=P.xpx=new Array(O),j=P.ypx=new Array(O);for(g=0;g<O;g++)N[g]=x.c2p(z[g]),j[g]=b.c2p(D[g])}else P.xpx=P.ypx=null}if(S){if(y.select2d||(y.select2d=n(v._glcanvas.data()[1].regl)),y.scatter2d){var U=new Array(_);for(m=0;m<_;m++)U[m]=y.selectBatch[m].length||y.unselectBatch[m].length?y.markerUnselectedOptions[m]:{};y.scatter2d.update(U)}y.select2d&&(y.select2d.update(y.markerOptions),y.select2d.update(y.markerSelectedOptions)),y.glText&&r.forEach((function(t){var e=((t||[])[0]||{}).trace||{};u.hasText(e)&&h(t)}))}else y.scatter2d&&y.scatter2d.update(y.markerOptions);var V={viewport:d(v,x,b,t._context.plotGlPixelRatio),range:[(x._rl||x.range)[0],(b._rl||b.range)[0],(x._rl||x.range)[1],(b._rl||b.range)[1]]},H=s.repeat(V,y.count);y.fill2d&&y.fill2d.update(H),y.line2d&&y.line2d.update(H),y.error2d&&y.error2d.update(H.concat(H)),y.scatter2d&&y.scatter2d.update(H),y.select2d&&y.select2d.update(H),y.glText&&y.glText.forEach((function(t){t.update(V)}))}else y.init()}}).reglPrecompiled=p},{\"../../components/dragelement/helpers\":384,\"../../lib\":503,\"../../lib/prepare_regl\":516,\"../scatter/link_traces\":943,\"../scatter/subtypes\":952,\"./edit_style\":985,\"gl-text\":225,\"regl-error2d\":279,\"regl-line2d\":280,\"regl-scatter2d\":281}],991:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");e.exports=function(t,e){var r=e._scene,i={count:0,dirty:!0,lineOptions:[],fillOptions:[],markerOptions:[],markerSelectedOptions:[],markerUnselectedOptions:[],errorXOptions:[],errorYOptions:[],textOptions:[],textSelectedOptions:[],textUnselectedOptions:[],selectBatch:[],unselectBatch:[]},a={fill2d:!1,scatter2d:!1,error2d:!1,line2d:!1,glText:!1,select2d:!1};return e._scene||((r=e._scene={}).init=function(){n.extendFlat(r,a,i)},r.init(),r.update=function(t){var e=n.repeat(t,r.count);if(r.fill2d&&r.fill2d.update(e),r.scatter2d&&r.scatter2d.update(e),r.line2d&&r.line2d.update(e),r.error2d&&r.error2d.update(e.concat(e)),r.select2d&&r.select2d.update(e),r.glText)for(var i=0;i<r.count;i++)r.glText[i].update(t)},r.draw=function(){for(var t=r.count,e=r.fill2d,i=r.error2d,a=r.line2d,o=r.scatter2d,s=r.glText,l=r.select2d,c=r.selectBatch,u=r.unselectBatch,f=0;f<t;f++){if(e&&r.fillOrder[f]&&e.draw(r.fillOrder[f]),a&&r.lineOptions[f]&&a.draw(f),i&&(r.errorXOptions[f]&&i.draw(f),r.errorYOptions[f]&&i.draw(f+t)),o&&r.markerOptions[f])if(u[f].length){var h=n.repeat([],r.count);h[f]=u[f],o.draw(h)}else c[f].length||o.draw(f);s[f]&&r.textOptions[f]&&s[f].render()}l&&l.draw(c),r.dirty=!1},r.destroy=function(){r.fill2d&&r.fill2d.destroy&&r.fill2d.destroy(),r.scatter2d&&r.scatter2d.destroy&&r.scatter2d.destroy(),r.error2d&&r.error2d.destroy&&r.error2d.destroy(),r.line2d&&r.line2d.destroy&&r.line2d.destroy(),r.select2d&&r.select2d.destroy&&r.select2d.destroy(),r.glText&&r.glText.forEach((function(t){t.destroy&&t.destroy()})),r.lineOptions=null,r.fillOptions=null,r.markerOptions=null,r.markerSelectedOptions=null,r.markerUnselectedOptions=null,r.errorXOptions=null,r.errorYOptions=null,r.textOptions=null,r.textSelectedOptions=null,r.textUnselectedOptions=null,r.selectBatch=null,r.unselectBatch=null,e._scene=null}),r.dirty||n.extendFlat(r,i),r}},{\"../../lib\":503}],992:[function(t,e,r){\"use strict\";var n=t(\"../scatter/subtypes\"),i=t(\"./edit_style\").styleTextSelection;e.exports=function(t,e){var r=t.cd,a=t.xaxis,o=t.yaxis,s=[],l=r[0].trace,c=r[0].t,u=l._length,f=c.x,h=c.y,p=c._scene,d=c.index;if(!p)return s;var m=n.hasText(l),g=n.hasMarkers(l),v=!g&&!m;if(!0!==l.visible||v)return s;var y=[],x=[];if(!1!==e&&!e.degenerate)for(var b=0;b<u;b++)e.contains([c.xpx[b],c.ypx[b]],!1,b,t)?(y.push(b),s.push({pointNumber:b,x:a.c2d(f[b]),y:o.c2d(h[b])})):x.push(b);if(g){var _=p.scatter2d;if(y.length||x.length){if(!p.selectBatch[d].length&&!p.unselectBatch[d].length){var w=new Array(p.count);w[d]=p.markerUnselectedOptions[d],_.update.apply(_,w)}}else{var T=new Array(p.count);T[d]=p.markerOptions[d],_.update.apply(_,T)}}return p.selectBatch[d]=y,p.unselectBatch[d]=x,m&&i(r),s}},{\"../scatter/subtypes\":952,\"./edit_style\":985}],993:[function(t,e,r){\"use strict\";var n=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../../plots/template_attributes\").texttemplateAttrs,a=t(\"../scattergeo/attributes\"),o=t(\"../scatter/attributes\"),s=t(\"../../plots/mapbox/layout_attributes\"),l=t(\"../../plots/attributes\"),c=t(\"../../components/colorscale/attributes\"),u=t(\"../../lib/extend\").extendFlat,f=t(\"../../plot_api/edit_types\").overrideAll,h=a.line,p=a.marker;e.exports=f({lon:a.lon,lat:a.lat,mode:u({},o.mode,{dflt:\"markers\"}),text:u({},o.text,{}),texttemplate:i({editType:\"plot\"},{keys:[\"lat\",\"lon\",\"text\"]}),hovertext:u({},o.hovertext,{}),line:{color:h.color,width:h.width},connectgaps:o.connectgaps,marker:u({symbol:{valType:\"string\",dflt:\"circle\",arrayOk:!0},angle:{valType:\"number\",dflt:\"auto\",arrayOk:!0},allowoverlap:{valType:\"boolean\",dflt:!1},opacity:p.opacity,size:p.size,sizeref:p.sizeref,sizemin:p.sizemin,sizemode:p.sizemode},c(\"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:u({},l.hoverinfo,{flags:[\"lon\",\"lat\",\"text\",\"name\"]}),hovertemplate:n()},\"calc\",\"nested\")},{\"../../components/colorscale/attributes\":373,\"../../lib/extend\":493,\"../../plot_api/edit_types\":536,\"../../plots/attributes\":550,\"../../plots/mapbox/layout_attributes\":615,\"../../plots/template_attributes\":633,\"../scatter/attributes\":927,\"../scattergeo/attributes\":969}],994:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib\"),a=t(\"../../constants/numerical\").BADNUM,o=t(\"../../lib/geojson_utils\"),s=t(\"../../components/colorscale\"),l=t(\"../../components/drawing\"),c=t(\"../scatter/make_bubble_size_func\"),u=t(\"../scatter/subtypes\"),f=t(\"../../plots/mapbox/convert_text_opts\"),h=t(\"../../components/fx/helpers\").appendArrayPointValue,p=t(\"../../lib/svg_text_utils\").NEWLINES,d=t(\"../../lib/svg_text_utils\").BR_TAG_ALL;function m(){return{geojson:o.makeBlank(),layout:{visibility:\"none\"},paint:{}}}function g(t,e){return i.isArrayOrTypedArray(t)?e?function(e){return n(t[e])?+t[e]:0}:function(e){return t[e]}:t?function(){return t}:v}function v(){return\"\"}function y(t){return t[0]===a}e.exports=function(t,e){var r,a=e[0].trace,x=!0===a.visible&&0!==a._length,b=\"none\"!==a.fill,_=u.hasLines(a),w=u.hasMarkers(a),T=u.hasText(a),k=w&&\"circle\"===a.marker.symbol,A=w&&\"circle\"!==a.marker.symbol,M=m(),S=m(),E=m(),L=m(),C={fill:M,line:S,circle:E,symbol:L};if(!x)return C;if((b||_)&&(r=o.calcTraceToLineCoords(e)),b&&(M.geojson=o.makePolygon(r),M.layout.visibility=\"visible\",i.extendFlat(M.paint,{\"fill-color\":a.fillcolor})),_&&(S.geojson=o.makeLine(r),S.layout.visibility=\"visible\",i.extendFlat(S.paint,{\"line-width\":a.line.width,\"line-color\":a.line.color,\"line-opacity\":a.opacity})),k){var P=function(t){var e,r,a,o,u=t[0].trace,f=u.marker,h=u.selectedpoints,p=i.isArrayOrTypedArray(f.color),d=i.isArrayOrTypedArray(f.size),m=i.isArrayOrTypedArray(f.opacity);function g(t){return u.opacity*t}p&&(r=s.hasColorscale(u,\"marker\")?s.makeColorScaleFuncFromTrace(f):i.identity);d&&(a=c(u));m&&(o=function(t){return g(n(t)?+i.constrain(t,0,1):0)});var v,x=[];for(e=0;e<t.length;e++){var 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n=t(\"../scatterpolar/attributes\"),i=t(\"../scattergl/attributes\"),a=t(\"../../plots/template_attributes\").texttemplateAttrs;e.exports={mode:n.mode,r:n.r,theta:n.theta,r0:n.r0,dr:n.dr,theta0:n.theta0,dtheta:n.dtheta,thetaunit:n.thetaunit,text:n.text,texttemplate:a({editType:\"plot\"},{keys:[\"r\",\"theta\",\"text\"]}),hovertext:n.hovertext,hovertemplate:n.hovertemplate,line:i.line,connectgaps:i.connectgaps,marker:i.marker,fill:i.fill,fillcolor:i.fillcolor,textposition:i.textposition,textfont:i.textfont,hoverinfo:n.hoverinfo,selected:n.selected,unselected:n.unselected}},{\"../../plots/template_attributes\":633,\"../scattergl/attributes\":979,\"../scatterpolar/attributes\":1002}],1010:[function(t,e,r){\"use 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A={};u.label&&(A.label=u.label),u.hasOwnProperty(\"v\")&&(A.value=u.v,A.valueLabel=b.formatValue(u.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),u.hasOwnProperty(\"color\")&&(A.color=u.color);var M=s.castOption(r,u.i,\"text\");return(s.isValidTextValue(M)||\"\"===M)&&(A.text=M),A.customdata=s.castOption(r,u.i,\"customdata\"),s.texttemplateString(k,A,i._d3locale,A,r._meta||{})}},{\"../../components/drawing\":388,\"../../lib\":503,\"../../lib/svg_text_utils\":529,\"../bar/style\":662,\"../bar/uniform_text\":664,\"../pie/helpers\":906,\"../pie/plot\":910,\"./constants\":1052,\"./fx\":1054,\"./helpers\":1055,\"./style\":1060,\"@plotly/d3\":58,\"d3-hierarchy\":115,\"d3-interpolate\":116}],1060:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../components/color\"),a=t(\"../../lib\"),o=t(\"../bar/uniform_text\").resizeText;function s(t,e,r){var n=e.data.data,o=!e.children,s=n.i,l=a.castOption(r,s,\"marker.line.color\")||i.defaultLine,c=a.castOption(r,s,\"marker.line.width\")||0;t.style(\"stroke-width\",c).call(i.fill,n.color).call(i.stroke,l).style(\"opacity\",o?r.leaf.opacity:null)}e.exports={style:function(t){var e=t._fullLayout._sunburstlayer.selectAll(\".trace\");o(t,e,\"sunburst\"),e.each((function(t){var e=n.select(this),r=t[0].trace;e.style(\"opacity\",r.opacity),e.selectAll(\"path.surface\").each((function(t){n.select(this).call(s,t,r)}))}))},styleOne:s}},{\"../../components/color\":366,\"../../lib\":503,\"../bar/uniform_text\":664,\"@plotly/d3\":58}],1061:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),i=t(\"../../components/colorscale/attributes\"),a=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,o=t(\"../../plots/template_attributes\").hovertemplateAttrs,s=t(\"../../plots/attributes\"),l=t(\"../../lib/extend\").extendFlat,c=t(\"../../plot_api/edit_types\").overrideAll;function u(t){return{show:{valType:\"boolean\",dflt:!1},start:{valType:\"number\",dflt:null,editType:\"plot\"},end:{valType:\"number\",dflt:null,editType:\"plot\"},size:{valType:\"number\",dflt:null,min:0,editType:\"plot\"},project:{x:{valType:\"boolean\",dflt:!1},y:{valType:\"boolean\",dflt:!1},z:{valType:\"boolean\",dflt:!1}},color:{valType:\"color\",dflt:n.defaultLine},usecolormap:{valType:\"boolean\",dflt:!1},width:{valType:\"number\",min:1,max:16,dflt:2},highlight:{valType:\"boolean\",dflt:!0},highlightcolor:{valType:\"color\",dflt:n.defaultLine},highlightwidth:{valType:\"number\",min:1,max:16,dflt:2}}}var f=e.exports=c(l({z:{valType:\"data_array\"},x:{valType:\"data_array\"},y:{valType:\"data_array\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:o(),xhoverformat:a(\"x\"),yhoverformat:a(\"y\"),zhoverformat:a(\"z\"),connectgaps:{valType:\"boolean\",dflt:!1,editType:\"calc\"},surfacecolor:{valType:\"data_array\"}},i(\"\",{colorAttr:\"z or surfacecolor\",showScaleDflt:!0,autoColorDflt:!1,editTypeOverride:\"calc\"}),{contours:{x:u(),y:u(),z:u()},hidesurface:{valType:\"boolean\",dflt:!1},lightposition:{x:{valType:\"number\",min:-1e5,max:1e5,dflt:10},y:{valType:\"number\",min:-1e5,max:1e5,dflt:1e4},z:{valType:\"number\",min:-1e5,max:1e5,dflt:0}},lighting:{ambient:{valType:\"number\",min:0,max:1,dflt:.8},diffuse:{valType:\"number\",min:0,max:1,dflt:.8},specular:{valType:\"number\",min:0,max:2,dflt:.05},roughness:{valType:\"number\",min:0,max:1,dflt:.5},fresnel:{valType:\"number\",min:0,max:5,dflt:.2}},opacity:{valType:\"number\",min:0,max:1,dflt:1},opacityscale:{valType:\"any\",editType:\"calc\"},_deprecated:{zauto:l({},i.zauto,{}),zmin:l({},i.zmin,{}),zmax:l({},i.zmax,{})},hoverinfo:l({},s.hoverinfo),showlegend:l({},s.showlegend,{dflt:!1})}),\"calc\",\"nested\");f.x.editType=f.y.editType=f.z.editType=\"calc+clearAxisTypes\",f.transforms=void 0},{\"../../components/color\":366,\"../../components/colorscale/attributes\":373,\"../../lib/extend\":493,\"../../plot_api/edit_types\":536,\"../../plots/attributes\":550,\"../../plots/cartesian/axis_format_attributes\":557,\"../../plots/template_attributes\":633}],1062:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/calc\");e.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:\"\",cLetter:\"c\"}):n(t,e,{vals:e.z,containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":374}],1063:[function(t,e,r){\"use strict\";var n=t(\"../../../stackgl_modules\").gl_surface3d,i=t(\"../../../stackgl_modules\").ndarray,a=t(\"../../../stackgl_modules\").ndarray_linear_interpolate.d2,o=t(\"../heatmap/interp2d\"),s=t(\"../heatmap/find_empties\"),l=t(\"../../lib\").isArrayOrTypedArray,c=t(\"../../lib/gl_format_color\").parseColorScale,u=t(\"../../lib/str2rgbarray\"),f=t(\"../../components/colorscale\").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 0===r?i:n.d2l(i,0,r)},p.getZat=function(t,e,r,n){var i=this.data.z[e][t];return null===i&&this.data.connectgaps&&this.data._interpolatedZ&&(i=this.data._interpolatedZ[e][t]),void 0===r?i:n.d2l(i,0,r)},p.handlePick=function(t){if(t.object===this.surface){var e=(t.data.index[0]-1)/this.dataScaleX-1,r=(t.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(e),this.data.z[0].length-1),0),i=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);t.index=[n,i],t.traceCoordinate=[this.getXat(n,i),this.getYat(n,i),this.getZat(n,i)],t.dataCoordinate=[this.getXat(n,i,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,i,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,i,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var a=0;a<3;a++){var o=t.dataCoordinate[a];null!=o&&(t.dataCoordinate[a]*=this.scene.dataScale[a])}var s=this.data.hovertext||this.data.text;return Array.isArray(s)&&s[i]&&void 0!==s[i][n]?t.textLabel=s[i][n]:t.textLabel=s||\"\",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var d=[2,3,5,7,11,13,17,19,23,29,31,37,41,43,47,53,59,61,67,71,73,79,83,89,97,101,103,107,109,113,127,131,137,139,149,151,157,163,167,173,179,181,191,193,197,199,211,223,227,229,233,239,241,251,257,263,269,271,277,281,283,293,307,311,313,317,331,337,347,349,353,359,367,373,379,383,389,397,401,409,419,421,431,433,439,443,449,457,461,463,467,479,487,491,499,503,509,521,523,541,547,557,563,569,571,577,587,593,599,601,607,613,617,619,631,641,643,647,653,659,661,673,677,683,691,701,709,719,727,733,739,743,751,757,761,769,773,787,797,809,811,821,823,827,829,839,853,857,859,863,877,881,883,887,907,911,919,929,937,941,947,953,967,971,977,983,991,997,1009,1013,1019,1021,1031,1033,1039,1049,1051,1061,1063,1069,1087,1091,1093,1097,1103,1109,1117,1123,1129,1151,1153,1163,1171,1181,1187,1193,1201,1213,1217,1223,1229,1231,1237,1249,1259,1277,1279,1283,1289,1291,1297,1301,1303,1307,1319,1321,1327,1361,1367,1373,1381,1399,1409,1423,1427,1429,1433,1439,1447,1451,1453,1459,1471,1481,1483,1487,1489,1493,1499,1511,1523,1531,1543,1549,1553,1559,1567,1571,1579,1583,1597,1601,1607,1609,1613,1619,1621,1627,1637,1657,1663,1667,1669,1693,1697,1699,1709,1721,1723,1733,1741,1747,1753,1759,1777,1783,1787,1789,1801,1811,1823,1831,1847,1861,1867,1871,1873,1877,1879,1889,1901,1907,1913,1931,1933,1949,1951,1973,1979,1987,1993,1997,1999,2003,2011,2017,2027,2029,2039,2053,2063,2069,2081,2083,2087,2089,2099,2111,2113,2129,2131,2137,2141,2143,2153,2161,2179,2203,2207,2213,2221,2237,2239,2243,2251,2267,2269,2273,2281,2287,2293,2297,2309,2311,2333,2339,2341,2347,2351,2357,2371,2377,2381,2383,2389,2393,2399,2411,2417,2423,2437,2441,2447,2459,2467,2473,2477,2503,2521,2531,2539,2543,2549,2551,2557,2579,2591,2593,2609,2617,2621,2633,2647,2657,2659,2663,2671,2677,2683,2687,2689,2693,2699,2707,2711,2713,2719,2729,2731,2741,2749,2753,2767,2777,2789,2791,2797,2801,2803,2819,2833,2837,2843,2851,2857,2861,2879,2887,2897,2903,2909,2917,2927,2939,2953,2957,2963,2969,2971,2999];function m(t,e){if(t<e)return 0;for(var r=0;0===Math.floor(t%e);)t/=e,r++;return r}function g(t){for(var e=[],r=0;r<d.length;r++){var n=d[r];e.push(m(t,n))}return e}function v(t){for(var e=g(t),r=t,n=0;n<d.length;n++)if(e[n]>0){r=d[n];break}return r}function y(t,e){if(!(t<1||e<1)){for(var r=g(t),n=g(e),i=1,a=0;a<d.length;a++)i*=Math.pow(d[a],Math.max(r[a],n[a]));return i}}p.calcXnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getXat(e-1,0),i=this.getXat(e,0);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r},p.calcYnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getYat(0,e-1),i=this.getYat(0,e);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r};var x=[1,2,4,6,12,24,36,48,60,120,180,240,360,720,840,1260],b=x[9],_=x[13];function w(t,e,r){var n=r[8]+r[2]*e[0]+r[5]*e[1];return t[0]=(r[6]+r[0]*e[0]+r[3]*e[1])/n,t[1]=(r[7]+r[1]*e[0]+r[4]*e[1])/n,t}function T(t,e,r){return function(t,e,r,n){for(var i=[0,0],o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var c=0;c<s;c++)r(i,[l,c],n),t.set(l,c,a(e,i[0],i[1]))}(t,e,w,r),t}function k(t,e){for(var r=!1,n=0;n<t.length;n++)if(e===t[n]){r=!0;break}!1===r&&t.push(e)}p.estimateScale=function(t,e){for(var r=1+function(t){if(0!==t.length){for(var e=1,r=0;r<t.length;r++)e=y(e,t[r]);return e}}(0===e?this.calcXnums(t):this.calcYnums(t));r<b;)r*=2;for(;r>_;)r--,r/=v(r),++r<b&&(r=_);var n=Math.round(r/t);return n>1?n:1},p.refineCoords=function(t){for(var e=this.dataScaleX,r=this.dataScaleY,n=t[0].shape[0],a=t[0].shape[1],o=0|Math.floor(t[0].shape[0]*e+1),s=0|Math.floor(t[0].shape[1]*r+1),l=1+n+1,c=1+a+1,u=i(new Float32Array(l*c),[l,c]),f=[1/e,0,0,0,1/r,0,0,0,1],h=0;h<t.length;++h){this.surface.padField(u,t[h]);var p=i(new Float32Array(o*s),[o,s]);T(p,u,f),t[h]=p}},p.setContourLevels=function(){var t,e,r,n=[[],[],[]],i=[!1,!1,!1],a=!1;for(t=0;t<3;++t)if(this.showContour[t]&&(a=!0,this.contourSize[t]>0&&null!==this.contourStart[t]&&null!==this.contourEnd[t]&&this.contourEnd[t]>this.contourStart[t]))for(i[t]=!0,e=this.contourStart[t];e<this.contourEnd[t];e+=this.contourSize[t])r=e*this.scene.dataScale[t],k(n[t],r);if(a){var o=[[],[],[]];for(t=0;t<3;++t)this.showContour[t]&&(o[t]=i[t]?n[t]:this.scene.contourLevels[t]);this.surface.update({levels:o})}},p.update=function(t){var e,r,n,a,l=this.scene,h=l.fullSceneLayout,p=this.surface,d=c(t),m=l.dataScale,g=t.z[0].length,v=t._ylength,y=l.contourLevels;this.data=t;var x=[];for(e=0;e<3;e++)for(x[e]=[],r=0;r<g;r++)x[e][r]=[];for(r=0;r<g;r++)for(n=0;n<v;n++)x[0][r][n]=this.getXat(r,n,t.xcalendar,h.xaxis),x[1][r][n]=this.getYat(r,n,t.ycalendar,h.yaxis),x[2][r][n]=this.getZat(r,n,t.zcalendar,h.zaxis);if(t.connectgaps)for(t._emptypoints=s(x[2]),o(x[2],t._emptypoints),t._interpolatedZ=[],r=0;r<g;r++)for(t._interpolatedZ[r]=[],n=0;n<v;n++)t._interpolatedZ[r][n]=x[2][r][n];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<v;n++)null==(a=x[e][r][n])?x[e][r][n]=NaN:a=x[e][r][n]*=m[e];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<v;n++)null!=(a=x[e][r][n])&&(this.minValues[e]>a&&(this.minValues[e]=a),this.maxValues[e]<a&&(this.maxValues[e]=a));for(e=0;e<3;e++)this.objectOffset[e]=.5*(this.minValues[e]+this.maxValues[e]);for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<v;n++)null!=(a=x[e][r][n])&&(x[e][r][n]-=this.objectOffset[e]);var b=[i(new Float32Array(g*v),[g,v]),i(new Float32Array(g*v),[g,v]),i(new Float32Array(g*v),[g,v])];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<v;n++)b[e].set(r,n,x[e][r][n]);x=[];var w={colormap:d,levels:[[],[],[]],showContour:[!0,!0,!0],showSurface:!t.hidesurface,contourProject:[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],contourWidth:[1,1,1],contourColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],contourTint:[1,1,1],dynamicColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],dynamicWidth:[1,1,1],dynamicTint:[1,1,1],opacityscale:t.opacityscale,opacity:t.opacity},T=f(t);if(w.intensityBounds=[T.min,T.max],t.surfacecolor){var k=i(new Float32Array(g*v),[g,v]);for(r=0;r<g;r++)for(n=0;n<v;n++)k.set(r,n,t.surfacecolor[n][r]);b.push(k)}else w.intensityBounds[0]*=m[2],w.intensityBounds[1]*=m[2];(_<b[0].shape[0]||_<b[0].shape[1])&&(this.refineData=!1),!0===this.refineData&&(this.dataScaleX=this.estimateScale(b[0].shape[0],0),this.dataScaleY=this.estimateScale(b[0].shape[1],1),1===this.dataScaleX&&1===this.dataScaleY||this.refineCoords(b)),t.surfacecolor&&(w.intensity=b.pop());var 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]=y[e],p.highlightColor[e]=w.contourColor[e]=u(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]=u(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 t&&(p.ambientLight=t.lighting.ambient,p.diffuseLight=t.lighting.diffuse,p.specularLight=t.lighting.specular,p.roughness=t.lighting.roughness,p.fresnel=t.lighting.fresnel),\"lightposition\"in t&&(p.lightPosition=[t.lightposition.x,t.lightposition.y,t.lightposition.z])},p.dispose=function(){this.scene.glplot.remove(this.surface),this.surface.dispose()},e.exports=function(t,e){var r=t.glplot.gl,i=n({gl:r}),a=new h(t,i,e.uid);return i._trace=a,a.update(e),t.glplot.add(i),a}},{\"../../../stackgl_modules\":1124,\"../../components/colorscale\":378,\"../../lib\":503,\"../../lib/gl_format_color\":499,\"../../lib/str2rgbarray\":528,\"../heatmap/find_empties\":798,\"../heatmap/interp2d\":801}],1064:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),i=t(\"../../lib\"),a=t(\"../../components/colorscale/defaults\"),o=t(\"./attributes\");function s(t,e,r,n){var 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this._expand(r+1),this.words[r]=e?this.words[r]|1<<i:this.words[r]&~(1<<i),this.strip()},a.prototype.iadd=function(t){var e,r,n;if(0!==this.negative&&0===t.negative)return this.negative=0,e=this.isub(t),this.negative^=1,this._normSign();if(0===this.negative&&0!==t.negative)return t.negative=0,e=this.isub(t),t.negative=1,e._normSign();this.length>t.length?(r=this,n=t):(r=t,n=this);for(var i=0,a=0;a<n.length;a++)e=(0|r.words[a])+(0|n.words[a])+i,this.words[a]=67108863&e,i=e>>>26;for(;0!==i&&a<r.length;a++)e=(0|r.words[a])+i,this.words[a]=67108863&e,i=e>>>26;if(this.length=r.length,0!==i)this.words[this.length]=i,this.length++;else if(r!==this)for(;a<r.length;a++)this.words[a]=r.words[a];return this},a.prototype.add=function(t){var e;return 0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var a=0,o=0;o<n.length;o++)a=(e=(0|r.words[o])-(0|n.words[o])+a)>>26,this.words[o]=67108863&e;for(;0!==a&&o<r.length;o++)a=(e=(0|r.words[o])+a)>>26,this.words[o]=67108863&e;if(0===a&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},a.prototype.sub=function(t){return this.clone().isub(t)};var d=function(t,e,r){var n,i,a,o=t.words,s=e.words,l=r.words,c=0,u=0|o[0],f=8191&u,h=u>>>13,p=0|o[1],d=8191&p,m=p>>>13,g=0|o[2],v=8191&g,y=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],I=8191&P,O=P>>>13,z=0|o[8],D=8191&z,R=z>>>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,Y=0|s[2],W=8191&Y,X=Y>>>13,Z=0|s[3],J=8191&Z,K=Z>>>13,Q=0|s[4],$=8191&Q,tt=Q>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,it=0|s[6],at=8191&it,ot=it>>>13,st=0|s[7],lt=8191&st,ct=st>>>13,ut=0|s[8],ft=8191&ut,ht=ut>>>13,pt=0|s[9],dt=8191&pt,mt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var gt=(c+(n=Math.imul(f,U))|0)+((8191&(i=(i=Math.imul(f,V))+Math.imul(h,U)|0))<<13)|0;c=((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(m,U)|0,a=Math.imul(m,V);var vt=(c+(n=n+Math.imul(f,q)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,q)|0))<<13)|0;c=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(vt>>>26)|0,vt&=67108863,n=Math.imul(v,U),i=(i=Math.imul(v,V))+Math.imul(y,U)|0,a=Math.imul(y,V),n=n+Math.imul(d,q)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(m,q)|0,a=a+Math.imul(m,G)|0;var yt=(c+(n=n+Math.imul(f,W)|0)|0)+((8191&(i=(i=i+Math.imul(f,X)|0)+Math.imul(h,W)|0))<<13)|0;c=((a=a+Math.imul(h,X)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(v,q)|0,i=(i=i+Math.imul(v,G)|0)+Math.imul(y,q)|0,a=a+Math.imul(y,G)|0,n=n+Math.imul(d,W)|0,i=(i=i+Math.imul(d,X)|0)+Math.imul(m,W)|0,a=a+Math.imul(m,X)|0;var xt=(c+(n=n+Math.imul(f,J)|0)|0)+((8191&(i=(i=i+Math.imul(f,K)|0)+Math.imul(h,J)|0))<<13)|0;c=((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(v,W)|0,i=(i=i+Math.imul(v,X)|0)+Math.imul(y,W)|0,a=a+Math.imul(y,X)|0,n=n+Math.imul(d,J)|0,i=(i=i+Math.imul(d,K)|0)+Math.imul(m,J)|0,a=a+Math.imul(m,K)|0;var bt=(c+(n=n+Math.imul(f,$)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,$)|0))<<13)|0;c=((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,W)|0,i=(i=i+Math.imul(b,X)|0)+Math.imul(_,W)|0,a=a+Math.imul(_,X)|0,n=n+Math.imul(v,J)|0,i=(i=i+Math.imul(v,K)|0)+Math.imul(y,J)|0,a=a+Math.imul(y,K)|0,n=n+Math.imul(d,$)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(m,$)|0,a=a+Math.imul(m,tt)|0;var _t=(c+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;c=((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,W)|0,i=(i=i+Math.imul(T,X)|0)+Math.imul(k,W)|0,a=a+Math.imul(k,X)|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(v,$)|0,i=(i=i+Math.imul(v,tt)|0)+Math.imul(y,$)|0,a=a+Math.imul(y,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0;var wt=(c+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;c=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(I,U),i=(i=Math.imul(I,V))+Math.imul(O,U)|0,a=Math.imul(O,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,W)|0,i=(i=i+Math.imul(M,X)|0)+Math.imul(S,W)|0,a=a+Math.imul(S,X)|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,$)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,$)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(v,rt)|0,i=(i=i+Math.imul(v,nt)|0)+Math.imul(y,rt)|0,a=a+Math.imul(y,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0;var Tt=(c+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ct)|0)+Math.imul(h,lt)|0))<<13)|0;c=((a=a+Math.imul(h,ct)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(D,U),i=(i=Math.imul(D,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(I,q)|0,i=(i=i+Math.imul(I,G)|0)+Math.imul(O,q)|0,a=a+Math.imul(O,G)|0,n=n+Math.imul(L,W)|0,i=(i=i+Math.imul(L,X)|0)+Math.imul(C,W)|0,a=a+Math.imul(C,X)|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,$)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,$)|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(v,at)|0,i=(i=i+Math.imul(v,ot)|0)+Math.imul(y,at)|0,a=a+Math.imul(y,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ct)|0)+Math.imul(m,lt)|0,a=a+Math.imul(m,ct)|0;var kt=(c+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;c=((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(D,q)|0,i=(i=i+Math.imul(D,G)|0)+Math.imul(R,q)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(I,W)|0,i=(i=i+Math.imul(I,X)|0)+Math.imul(O,W)|0,a=a+Math.imul(O,X)|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,$)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,$)|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(v,lt)|0,i=(i=i+Math.imul(v,ct)|0)+Math.imul(y,lt)|0,a=a+Math.imul(y,ct)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(m,ft)|0,a=a+Math.imul(m,ht)|0;var At=(c+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,mt)|0)+Math.imul(h,dt)|0))<<13)|0;c=((a=a+Math.imul(h,mt)|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(D,W)|0,i=(i=i+Math.imul(D,X)|0)+Math.imul(R,W)|0,a=a+Math.imul(R,X)|0,n=n+Math.imul(I,J)|0,i=(i=i+Math.imul(I,K)|0)+Math.imul(O,J)|0,a=a+Math.imul(O,K)|0,n=n+Math.imul(L,$)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,$)|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,ct)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ct)|0,n=n+Math.imul(v,ft)|0,i=(i=i+Math.imul(v,ht)|0)+Math.imul(y,ft)|0,a=a+Math.imul(y,ht)|0;var Mt=(c+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,mt)|0)+Math.imul(m,dt)|0))<<13)|0;c=((a=a+Math.imul(m,mt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,W),i=(i=Math.imul(B,X))+Math.imul(N,W)|0,a=Math.imul(N,X),n=n+Math.imul(D,J)|0,i=(i=i+Math.imul(D,K)|0)+Math.imul(R,J)|0,a=a+Math.imul(R,K)|0,n=n+Math.imul(I,$)|0,i=(i=i+Math.imul(I,tt)|0)+Math.imul(O,$)|0,a=a+Math.imul(O,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,ct)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ct)|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=(c+(n=n+Math.imul(v,dt)|0)|0)+((8191&(i=(i=i+Math.imul(v,mt)|0)+Math.imul(y,dt)|0))<<13)|0;c=((a=a+Math.imul(y,mt)|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(D,$)|0,i=(i=i+Math.imul(D,tt)|0)+Math.imul(R,$)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(I,rt)|0,i=(i=i+Math.imul(I,nt)|0)+Math.imul(O,rt)|0,a=a+Math.imul(O,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,ct)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ct)|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=(c+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,mt)|0)+Math.imul(_,dt)|0))<<13)|0;c=((a=a+Math.imul(_,mt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,$),i=(i=Math.imul(B,tt))+Math.imul(N,$)|0,a=Math.imul(N,tt),n=n+Math.imul(D,rt)|0,i=(i=i+Math.imul(D,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(I,at)|0,i=(i=i+Math.imul(I,ot)|0)+Math.imul(O,at)|0,a=a+Math.imul(O,ot)|0,n=n+Math.imul(L,lt)|0,i=(i=i+Math.imul(L,ct)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ct)|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=(c+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,mt)|0)+Math.imul(k,dt)|0))<<13)|0;c=((a=a+Math.imul(k,mt)|0)+(i>>>13)|0)+(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(D,at)|0,i=(i=i+Math.imul(D,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(I,lt)|0,i=(i=i+Math.imul(I,ct)|0)+Math.imul(O,lt)|0,a=a+Math.imul(O,ct)|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=(c+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,mt)|0)+Math.imul(S,dt)|0))<<13)|0;c=((a=a+Math.imul(S,mt)|0)+(i>>>13)|0)+(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(D,lt)|0,i=(i=i+Math.imul(D,ct)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ct)|0,n=n+Math.imul(I,ft)|0,i=(i=i+Math.imul(I,ht)|0)+Math.imul(O,ft)|0,a=a+Math.imul(O,ht)|0;var Pt=(c+(n=n+Math.imul(L,dt)|0)|0)+((8191&(i=(i=i+Math.imul(L,mt)|0)+Math.imul(C,dt)|0))<<13)|0;c=((a=a+Math.imul(C,mt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ct))+Math.imul(N,lt)|0,a=Math.imul(N,ct),n=n+Math.imul(D,ft)|0,i=(i=i+Math.imul(D,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var It=(c+(n=n+Math.imul(I,dt)|0)|0)+((8191&(i=(i=i+Math.imul(I,mt)|0)+Math.imul(O,dt)|0))<<13)|0;c=((a=a+Math.imul(O,mt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var Ot=(c+(n=n+Math.imul(D,dt)|0)|0)+((8191&(i=(i=i+Math.imul(D,mt)|0)+Math.imul(R,dt)|0))<<13)|0;c=((a=a+Math.imul(R,mt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863;var zt=(c+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,mt))+Math.imul(N,dt)|0))<<13)|0;return c=((a=Math.imul(N,mt))+(i>>>13)|0)+(zt>>>26)|0,zt&=67108863,l[0]=gt,l[1]=vt,l[2]=yt,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]=It,l[17]=Ot,l[18]=zt,0!==c&&(l[19]=c,r.length++),r};function m(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r=this.length+t.length;return 10===this.length&&10===t.length?d(this,t,e):r<63?p(this,t,e):r<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a<r.length-1;a++){var o=i;i=0;for(var s=67108863&n,l=Math.min(a,e.length-1),c=Math.max(0,a-t.length+1);c<=l;c++){var u=a-c,f=(0|t.words[u])*(0|e.words[c]),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):m(this,t,e)},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},g.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i<e;i++)n|=(1&t)<<e-i-1,t>>=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o<a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},g.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o<i;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),c=Math.sin(2*Math.PI/s),u=0;u<i;u+=s)for(var f=l,h=c,p=0;p<o;p++){var d=r[u+p],m=n[u+p],g=r[u+p+o],v=n[u+p+o],y=f*g-h*v;v=f*v+h*g,g=y,r[u+p]=d+g,n[u+p]=m+v,r[u+p+o]=d-g,n[u+p+o]=m-v,p!==s&&(y=l*f-c*h,h=l*h+c*f,f=y)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,i=0;for(r=r/2|0;r;r>>>=1)i++;return 1<<i+1+n},g.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var i=t[n];t[n]=t[r-n-1],t[r-n-1]=i,i=e[n],e[n]=-e[r-n-1],e[r-n-1]=-i}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&i,r=i<67108864?0:i/67108864|0}return t},g.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o<e;o++)a+=0|t[o],r[2*o]=8191&a,a>>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o<i;++o)r[o]=0;n(0===a),n(0==(-8192&a))},g.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},g.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(n),a=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),c=new Array(n),u=new Array(n),f=new Array(n),h=r.words;h.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,c,n),this.transform(o,a,s,l,n,i),this.transform(c,a,u,f,n,i);for(var p=0;p<n;p++){var d=s[p]*u[p]-l[p]*f[p];l[p]=s[p]*f[p]+l[p]*u[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),m(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n(\"number\"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var i=(0|this.words[r])*t,a=(67108863&i)+(67108863&e);e>>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,i=r%26;e[r]=(t.words[n]&1<<i)>>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var i=r.sqr();n<e.length;n++,i=i.sqr())0!==e[n]&&(r=r.mul(i));return r},a.prototype.iushln=function(t){n(\"number\"==typeof t&&t>=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&a,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e<i;e++)this.words[e]=0;this.length+=i}return this.strip()},a.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},a.prototype.iushrn=function(t,e,r){var i;n(\"number\"==typeof t&&t>=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<<a,l=r;if(i-=o,i=Math.max(0,i),l){for(var c=0;c<o;c++)l.words[c]=this.words[c];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,c=0;c<this.length;c++)this.words[c]=this.words[c+o];else this.words[0]=0,this.length=1;var u=0;for(c=this.length-1;c>=0&&(0!==u||c>=i);c--){var f=0|this.words[c];this.words[c]=u<<26-a|f>>>a,u=f&s}return l&&0!==u&&(l.words[l.length++]=u),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<<e;return!(this.length<=r)&&!!(this.words[r]&i)},a.prototype.imaskn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,\"imaskn works only with positive numbers\"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<<e;this.words[this.length-1]&=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n(\"number\"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},a.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n(\"number\"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},a.prototype.addn=function(t){return this.clone().iaddn(t)},a.prototype.subn=function(t){return this.clone().isubn(t)},a.prototype.iabs=function(){return this.negative=0,this},a.prototype.abs=function(){return this.clone().iabs()},a.prototype._ishlnsubmul=function(t,e,r){var i,a,o=t.length+r;this._expand(o);var s=0;for(i=0;i<t.length;i++){a=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;s=((a-=67108863&l)>>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i<this.length-r;i++)s=(a=(0|this.words[i+r])+s)>>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i<this.length;i++)s=(a=-(0|this.words[i])+s)>>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!==(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if(\"mod\"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var c=0;c<s.length;c++)s.words[c]=0}var u=n.clone()._ishlnsubmul(i,1,l);0===u.negative&&(n=u,s&&(s.words[l]=1));for(var 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),c=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++c;for(var u=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(u),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,m=1;0==(r.words[0]&m)&&d<26;++d,m<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(u),l.isub(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(c)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var c=0,u=1;0==(e.words[0]&u)&&c<26;++c,u<<=1);if(c>0)for(e.iushrn(c);c-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var 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 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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 v={k256:null,p224:null,p192:null,p25519:null};function y(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(){y.call(this,\"k256\",\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f\")}function b(){y.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}function _(){y.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}function w(){y.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)}y.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},y.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},y.prototype.split=function(t,e){t.iushrn(this.n,0,e)},y.prototype.imulK=function(t){return t.imul(this.k)},i(x,y),x.prototype.split=function(t,e){for(var r=Math.min(t.length,9),n=0;n<r;n++)e.words[n]=t.words[n];if(e.length=r,t.length<=9)return t.words[0]=0,void(t.length=1);var i=t.words[9];for(e.words[e.length++]=4194303&i,n=10;n<t.length;n++){var a=0|t.words[n];t.words[n-10]=(4194303&a)<<4|i>>>22,i=a}i>>>=22,t.words[n-10]=i,0===i&&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,y),i(_,y),i(w,y),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(v[t])return v[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 v[t]=e,e},T.prototype._verify1=function(t){n(0===t.negative,\"red works only with positives\"),n(t.red,\"red works only with red numbers\")},T.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),\"red works only with positives\"),n(t.red&&t.red===e.red,\"red works only with red numbers\")},T.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},T.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},T.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},T.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},T.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},T.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},T.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},T.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},T.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},T.prototype.isqr=function(t){return this.imul(t,t.clone())},T.prototype.sqr=function(t){return this.mul(t,t)},T.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return this.pow(t,r)}for(var i=this.m.subn(1),o=0;!i.isZero()&&0===i.andln(1);)o++,i.iushrn(1);n(!i.isZero());var s=new a(1).toRed(this),l=s.redNeg(),c=this.m.subn(1).iushrn(1),u=this.m.bitLength();for(u=new a(2*u*u).toRed(this);0!==this.pow(u,c).cmp(l);)u.redIAdd(l);for(var f=this.pow(u,i),h=this.pow(t,i.addn(1).iushrn(1)),p=this.pow(t,i),d=o;0!==p.cmp(s);){for(var m=p,g=0;0!==m.cmp(s);g++)m=m.redSqr();n(g<d);var v=this.pow(f,new a(1).iushln(d-g-1));h=h.redMul(v),f=v.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 c=e.words[n],u=l-1;u>=0;u--){var f=c>>u&1;i!==r[0]&&(i=this.sqr(i)),0!==f||0!==o?(o<<=1,o|=f,(4===++s||0===n&&0===u)&&(i=this.mul(i,r[o]),s=0,o=0)):s=0}l=26}return i},T.prototype.convertTo=function(t){var e=t.umod(this.m);return e===t?e.clone():e},T.prototype.convertFrom=function(t){var e=t.clone();return e.red=null,e},a.mont=function(t){return new k(t)},i(k,T),k.prototype.convertTo=function(t){return this.imod(t.ushln(this.shift))},k.prototype.convertFrom=function(t){var e=this.imod(t.mul(this.rinv));return e.red=null,e},k.prototype.imul=function(t,e){if(t.isZero()||e.isZero())return t.words[0]=0,t.length=1,t;var r=t.imul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),a=i;return i.cmp(this.m)>=0?a=i.isub(this.m):i.cmpn(0)<0&&(a=i.iadd(this.m)),a._forceRed(this)},k.prototype.mul=function(t,e){if(t.isZero()||e.isZero())return new a(0)._forceRed(this);var r=t.mul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),o=i;return i.cmp(this.m)>=0?o=i.isub(this.m):i.cmpn(0)<0&&(o=i.iadd(this.m)),o._forceRed(this)},k.prototype.invm=function(t){return this.imod(t._invmp(this.m).mul(this.r2))._forceRed(this)}}(void 0===e||e,this)},{buffer:2}],34:[function(t,e,r){\"use strict\";e.exports=function(t){var e,r,n,i=t.length,a=0;for(e=0;e<i;++e)a+=t[e].length;var o=new Array(a),s=0;for(e=0;e<i;++e){var l=t[e],c=l.length;for(r=0;r<c;++r){var u=o[s++]=new Array(c-1),f=0;for(n=0;n<c;++n)n!==r&&(u[f++]=l[n]);if(1&r){var h=u[1];u[1]=u[0],u[0]=h}}}return o}},{}],35:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){switch(arguments.length){case 1:return f(t);case 2:return\"function\"==typeof e?c(t,t,e,!0):h(t,e);case 3:return c(t,e,r,!1);default:throw new Error(\"box-intersect: Invalid arguments\")}};var n,i=t(\"typedarray-pool\"),a=t(\"./lib/sweep\"),o=t(\"./lib/intersect\");function s(t,e){for(var r=0;r<t;++r)if(!(e[r]<=e[r+t]))return!0;return!1}function l(t,e,r,n){for(var i=0,a=0,o=0,l=t.length;o<l;++o){var c=t[o];if(!s(e,c)){for(var u=0;u<2*e;++u)r[i++]=c[u];n[a++]=o}}return a}function c(t,e,r,n){var s=t.length,c=e.length;if(!(s<=0||c<=0)){var u=t[0].length>>>1;if(!(u<=0)){var f,h=i.mallocDouble(2*u*s),p=i.mallocInt32(s);if((s=l(t,u,h,p))>0){if(1===u&&n)a.init(s),f=a.sweepComplete(u,r,0,s,h,p,0,s,h,p);else{var d=i.mallocDouble(2*u*c),m=i.mallocInt32(c);(c=l(e,u,d,m))>0&&(a.init(s+c),f=1===u?a.sweepBipartite(u,r,0,s,h,p,0,c,d,m):o(u,r,n,s,h,p,c,d,m),i.free(d),i.free(m))}i.free(h),i.free(p)}return f}}}function u(t,e){n.push([t,e])}function f(t){return n=[],c(t,t,u,!0),n}function h(t,e){return n=[],c(t,e,u,!1),n}},{\"./lib/intersect\":37,\"./lib/sweep\":41,\"typedarray-pool\":308}],36:[function(t,e,r){\"use strict\";function n(t){return t?function(t,e,r,n,i,a,o,s,l,c,u){return i-n>l-s?function(t,e,r,n,i,a,o,s,l,c,u){for(var f=2*t,h=n,p=f*n;h<i;++h,p+=f){var d=a[e+p],m=a[e+p+t],g=o[h];t:for(var v=s,y=f*s;v<l;++v,y+=f){var x=c[e+y],b=c[e+y+t],_=u[v];if(!(b<d||m<x)){for(var w=e+1;w<t;++w){var T=a[w+p],k=a[w+t+p],A=c[w+y],M=c[w+t+y];if(k<A||M<T)continue t}var S=r(g,_);if(void 0!==S)return S}}}}(t,e,r,n,i,a,o,s,l,c,u):function(t,e,r,n,i,a,o,s,l,c,u){for(var f=2*t,h=s,p=f*s;h<l;++h,p+=f){var d=c[e+p],m=c[e+p+t],g=u[h];t:for(var v=n,y=f*n;v<i;++v,y+=f){var x=a[e+y],b=a[e+y+t],_=o[v];if(!(m<x||b<d)){for(var w=e+1;w<t;++w){var T=a[w+y],k=a[w+t+y],A=c[w+p],M=c[w+t+p];if(k<A||M<T)continue t}var S=r(_,g);if(void 0!==S)return S}}}}(t,e,r,n,i,a,o,s,l,c,u)}:function(t,e,r,n,i,a,o,s,l,c,u,f){return a-i>c-l?n?function(t,e,r,n,i,a,o,s,l,c,u){for(var f=2*t,h=n,p=f*n;h<i;++h,p+=f){var d=a[e+p],m=a[e+p+t],g=o[h];t:for(var v=s,y=f*s;v<l;++v,y+=f){var x=c[e+y],b=u[v];if(!(x<=d||m<x)){for(var _=e+1;_<t;++_){var w=a[_+p],T=a[_+t+p],k=c[_+y],A=c[_+t+y];if(T<k||A<w)continue t}var M=r(b,g);if(void 0!==M)return 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e=i.nextPow2(t);o.length<e&&(n.free(o),o=n.mallocInt32(e));s.length<e&&(n.free(s),s=n.mallocInt32(e));l.length<e&&(n.free(l),l=n.mallocInt32(e));c.length<e&&(n.free(c),c=n.mallocInt32(e));u.length<e&&(n.free(u),u=n.mallocInt32(e));f.length<e&&(n.free(f),f=n.mallocInt32(e));var r=8*e;h.length<r&&(n.free(h),h=n.mallocDouble(r))},sweepBipartite:function(t,e,r,n,i,u,f,m,g,v){for(var y=0,x=2*t,b=t-1,_=x-1,w=r;w<n;++w){var T=u[w],k=x*w;h[y++]=i[k+b],h[y++]=-(T+1),h[y++]=i[k+_],h[y++]=T}for(w=f;w<m;++w){T=v[w]+(1<<28);var A=x*w;h[y++]=g[A+b],h[y++]=-T,h[y++]=g[A+_],h[y++]=T}var M=y>>>1;a(h,M);var S=0,E=0;for(w=0;w<M;++w){var L=0|h[2*w+1];if(L>=1<<28)p(l,c,E--,L=L-(1<<28)|0);else if(L>=0)p(o,s,S--,L);else if(L<=-(1<<28)){L=-L-(1<<28)|0;for(var C=0;C<S;++C){if(void 0!==(P=e(o[C],L)))return P}d(l,c,E++,L)}else{L=-L-1|0;for(C=0;C<E;++C){var P;if(void 0!==(P=e(L,l[C])))return P}d(o,s,S++,L)}}},sweepComplete:function(t,e,r,n,i,m,g,v,y,x){for(var b=0,_=2*t,w=t-1,T=_-1,k=r;k<n;++k){var 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e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<=0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new h(this,n)},l.gt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new h(this,n)},l.lt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new h(this,n)},l.le=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>=0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new h(this,n)},l.find=function(t){for(var e=this._compare,r=this.root,n=[];r;){var i=e(t,r.key);if(n.push(r),0===i)return new h(this,n);r=i<=0?r.left:r.right}return new h(this,[])},l.remove=function(t){var e=this.find(t);return e?e.remove():this},l.get=function(t){for(var e=this._compare,r=this.root;r;){var n=e(t,r.key);if(0===n)return r.value;r=n<=0?r.left:r.right}};var p=h.prototype;function d(t,e){t.key=e.key,t.value=e.value,t.left=e.left,t.right=e.right,t._color=e._color,t._count=e._count}function m(t,e){return t<e?-1:t>e?1:0}Object.defineProperty(p,\"valid\",{get:function(){return this._stack.length>0}}),Object.defineProperty(p,\"node\",{get:function(){return this._stack.length>0?this._stack[this._stack.length-1]:null},enumerable:!0}),p.clone=function(){return new h(this.tree,this._stack.slice())},p.remove=function(){var t=this._stack;if(0===t.length)return this.tree;var e=new Array(t.length),r=t[t.length-1];e[e.length-1]=new n(r._color,r.key,r.value,r.left,r.right,r._count);for(var l=t.length-2;l>=0;--l){(r=t[l]).left===t[l+1]?e[l]=new n(r._color,r.key,r.value,e[l+1],r.right,r._count):e[l]=new n(r._color,r.key,r.value,r.left,e[l+1],r._count)}if((r=e[e.length-1]).left&&r.right){var c=e.length;for(r=r.left;r.right;)e.push(r),r=r.right;var u=e[c-1];e.push(new n(r._color,u.key,u.value,r.left,r.right,r._count)),e[c-1].key=r.key,e[c-1].value=r.value;for(l=e.length-2;l>=c;--l)r=e[l],e[l]=new n(r._color,r.key,r.value,r.left,e[l+1],r._count);e[c-1].left=e[c]}if(0===(r=e[e.length-1])._color){var f=e[e.length-2];f.left===r?f.left=null:f.right===r&&(f.right=null),e.pop();for(l=0;l<e.length;++l)e[l]._count--;return new s(this.tree._compare,e[0])}if(r.left||r.right){r.left?d(r,r.left):r.right&&d(r,r.right),r._color=1;for(l=0;l<e.length-1;++l)e[l]._count--;return new s(this.tree._compare,e[0])}if(1===e.length)return new s(this.tree._compare,null);for(l=0;l<e.length;++l)e[l]._count--;var h=e[e.length-2];return function(t){for(var e,r,n,s,l=t.length-1;l>=0;--l){if(e=t[l],0===l)return void(e._color=1);if((r=t[l-1]).left===e){if((n=r.right).right&&0===n.right._color){if(s=(n=r.right=i(n)).right=i(n.right),r.right=n.left,n.left=r,n.right=s,n._color=r._color,e._color=1,r._color=1,s._color=1,o(r),o(n),l>1)(c=t[l-2]).left===r?c.left=n:c.right=n;return void(t[l-1]=n)}if(n.left&&0===n.left._color){if(s=(n=r.right=i(n)).left=i(n.left),r.right=s.left,n.left=s.right,s.left=r,s.right=n,s._color=r._color,r._color=1,n._color=1,e._color=1,o(r),o(n),o(s),l>1)(c=t[l-2]).left===r?c.left=s:c.right=s;return void(t[l-1]=s)}if(1===n._color){if(0===r._color)return r._color=1,void(r.right=a(0,n));r.right=a(0,n);continue}n=i(n),r.right=n.left,n.left=r,n._color=r._color,r._color=0,o(r),o(n),l>1&&((c=t[l-2]).left===r?c.left=n:c.right=n),t[l-1]=n,t[l]=r,l+1<t.length?t[l+1]=e:t.push(e),l+=2}else{if((n=r.left).left&&0===n.left._color){if(s=(n=r.left=i(n)).left=i(n.left),r.left=n.right,n.right=r,n.left=s,n._color=r._color,e._color=1,r._color=1,s._color=1,o(r),o(n),l>1)(c=t[l-2]).right===r?c.right=n:c.left=n;return void(t[l-1]=n)}if(n.right&&0===n.right._color){if(s=(n=r.left=i(n)).right=i(n.right),r.left=s.right,n.right=s.left,s.right=r,s.left=n,s._color=r._color,r._color=1,n._color=1,e._color=1,o(r),o(n),o(s),l>1)(c=t[l-2]).right===r?c.right=s:c.left=s;return void(t[l-1]=s)}if(1===n._color){if(0===r._color)return r._color=1,void(r.left=a(0,n));r.left=a(0,n);continue}var c;n=i(n),r.left=n.right,n.right=r,n._color=r._color,r._color=0,o(r),o(n),l>1&&((c=t[l-2]).right===r?c.right=n:c.left=n),t[l-1]=n,t[l]=r,l+1<t.length?t[l+1]=e:t.push(e),l+=2}}}(e),h.left===r?h.left=null:h.right=null,new s(this.tree._compare,e[0])},Object.defineProperty(p,\"key\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(p,\"value\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(p,\"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}),p.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(p,\"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}}),p.update=function(t){var e=this._stack;if(0===e.length)throw new Error(\"Can't update empty node!\");var r=new Array(e.length),i=e[e.length-1];r[r.length-1]=new n(i._color,i.key,t,i.left,i.right,i._count);for(var a=e.length-2;a>=0;--a)(i=e[a]).left===e[a+1]?r[a]=new n(i._color,i.key,i.value,r[a+1],i.right,i._count):r[a]=new n(i._color,i.key,i.value,i.left,r[a+1],i._count);return new s(this.tree._compare,r[0])},p.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(p,\"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}})},{}],70:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=new u(t);return r.update(e),r};var n=t(\"./lib/text.js\"),i=t(\"./lib/lines.js\"),a=t(\"./lib/background.js\"),o=t(\"./lib/cube.js\"),s=t(\"./lib/ticks.js\"),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]);function c(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function u(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=u.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),c=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]})),u=!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){r=t.ticks,u=!0,this.autoTicks=!1;for(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,u=!0,this._firstInit=!1),f&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),u=!0),u){for(p=0;p<3;++p)r[p].sort((function(t,e){return t.x-e.x}));s.equal(r,this.ticks)?u=!1:this.ticks=r}o(\"tickEnable\"),l(\"tickFont\")&&(u=!0),a(\"tickSize\"),a(\"tickAngle\"),a(\"tickPad\"),c(\"tickColor\");var m=l(\"labels\");l(\"labelFont\")&&(m=!0),o(\"labelEnable\"),a(\"labelSize\"),a(\"labelPad\"),c(\"labelColor\"),o(\"lineEnable\"),o(\"lineMirror\"),a(\"lineWidth\"),c(\"lineColor\"),o(\"lineTickEnable\"),o(\"lineTickMirror\"),a(\"lineTickLength\"),a(\"lineTickWidth\"),c(\"lineTickColor\"),o(\"gridEnable\"),a(\"gridWidth\"),c(\"gridColor\"),o(\"zeroEnable\"),c(\"zeroLineColor\"),a(\"zeroLineWidth\"),o(\"backgroundEnable\"),c(\"backgroundColor\"),this._text?this._text&&(m||u)&&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&&u&&(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,c=n[e],u=0;u<3;++u)if(e!==u){var f=a,h=s,p=o,d=l;c&1<<u&&(f=s,h=a,p=l,d=o),f[u]=r[0][u],h[u]=r[1][u],i[u]>0?(p[u]=-1,d[u]=0):(p[u]=0,d[u]=1)}}var m=[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 v=[0,0,0],y=[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,u=o(r,n,i,a,s),f=u.cubeEdges,h=u.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=m;for(A=0;A<3;++A)this.backgroundEnable[A]?E[A]=h[A]:E[A]=0;this._background.draw(r,n,i,a,E,this.backgroundColor),this._lines.bind(r,n,i,this);for(A=0;A<3;++A){var L=[0,0,0];h[A]>0?L[A]=a[1][A]:L[A]=a[0][A];for(var C=0;C<2;++C){var P=(A+1+C)%3,I=(A+1+(1^C))%3;this.gridEnable[P]&&this._lines.drawGrid(P,I,this.bounds,L,this.gridColor[P],this.gridWidth[P]*this.pixelRatio)}for(C=0;C<2;++C){P=(A+1+C)%3,I=(A+1+(1^C))%3;this.zeroEnable[I]&&Math.min(a[0][I],a[1][I])<=0&&Math.max(a[0][I],a[1][I])>=0&&this._lines.drawZero(P,I,this.bounds,L,this.zeroLineColor[I],this.zeroLineWidth[I]*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 O=c(v,M[A].primalMinor),z=c(y,M[A].mirrorMinor),D=this.lineTickLength;for(C=0;C<3;++C){var R=k/r[5*C];O[C]*=D[C]*R,z[C]*=D[C]*R}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,O,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,z,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio);var F,B;function N(t){(B=[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(A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,H=c(x,M[A].primalOffset);for(C=0;C<3;++C)this.lineTickEnable[A]&&(H[C]+=k*U[C]*Math.max(this.lineTickLength[C],0)/r[5*C]);var q=[0,0,0];if(q[A]=1,this.tickEnable[A]){-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]=\"auto\"):this.tickAlign[A]=-1,F=1,\"auto\"===(S=[this.tickAlign[A],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),B=[0,0,0],j(A,U,V);for(C=0;C<3;++C)H[C]+=k*U[C]*this.tickPad[C]/r[5*C];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],H,this.tickColor[A],q,B,S)}if(this.labelEnable[A]){F=0,B=[0,0,0],this.labels[A].length>4&&(N(A),F=1),\"auto\"===(S=[this.labelAlign[A],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]);for(C=0;C<3;++C)H[C]+=k*U[C]*this.labelPad[C]/r[5*C];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],B,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}},{\"./lib/background.js\":71,\"./lib/cube.js\":72,\"./lib/lines.js\":73,\"./lib/text.js\":75,\"./lib/ticks.js\":76}],71:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var c=(l+1)%3,u=(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[c]=d;for(var m=-1;m<=1;m+=2)f[u]=m,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var g=c;c=u,u=g}var v=n(t,new Float32Array(e)),y=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:v,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:v,type:t.FLOAT,size:3,offset:12,stride:24}],y),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,v,x,b)};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"./shaders\").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()}},{\"./shaders\":74,\"gl-buffer\":78,\"gl-vao\":150}],72:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var y=0,x=0;x<2;++x){u[2]=a[x][2];for(var b=0;b<2;++b){u[1]=a[b][1];for(var _=0;_<2;++_)u[0]=a[_][0],h(l[y],u,s),y+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)c[x][k]=l[x][k]/T;p&&(c[x][2]*=-1),T<0&&(w<0||c[x][2]<c[w][2])&&(w=x)}if(w<0){w=0;for(var A=0;A<3;++A){for(var M=(A+2)%3,S=(A+1)%3,E=-1,L=-1,C=0;C<2;++C){var P=(O=C<<A)+(C<<M)+(1-C<<S),I=O+(1-C<<M)+(C<<S);o(c[O],c[P],c[I],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=(O=C<<A)+(C<<M)+(1-C<<S),I=O+(1-C<<M)+(C<<S);var O,z=d([l[O],l[P],l[I],l[O+(1<<M)+(1<<S)]]);C?E=z:L=z}L>E&&(w|=1<<A)}}}var D=7^w,R=-1;for(x=0;x<8;++x)x!==w&&x!==D&&(R<0||c[R][1]>c[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x){if((N=R^1<<x)!==w&&N!==D)F<0&&(F=N),(S=c[N])[0]<c[F][0]&&(F=N)}var B=-1;for(x=0;x<3;++x){var N;if((N=R^1<<x)!==w&&N!==D&&N!==F)B<0&&(B=N),(S=c[N])[0]>c[B][0]&&(B=N)}var j=m;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===D?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=g,H=w;for(A=0;A<3;++A)V[A]=H&1<<A?-1:1;return v};var n=t(\"bit-twiddle\"),i=t(\"gl-mat4/multiply\"),a=t(\"split-polygon\"),o=t(\"robust-orientation\"),s=new Array(16),l=new Array(8),c=new Array(8),u=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],c[t]=[1,1,1]}();var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function d(t){for(var e=0;e<p.length;++e)if((t=a.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],i=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],c=s[0]/s[3]-n,u=s[1]/s[3]-i,f=l[0]/l[3]-n,h=l[1]/l[3]-i;o+=Math.abs(c*h-u*f)}return o}var m=[1,1,1],g=[0,0,0],v={cubeEdges:m,axis:g}},{\"bit-twiddle\":32,\"gl-mat4/multiply\":100,\"robust-orientation\":284,\"split-polygon\":300}],73:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var f=0;f<3;++f){for(var h=o.length/3|0,d=0;d<r[f].length;++d){var m=+r[f][d].x;o.push(m,0,1,m,1,1,m,0,-1,m,0,-1,m,1,1,m,1,-1)}var g=o.length/3|0;s[f]=h,l[f]=g-h;h=o.length/3|0;for(var v=0;v<r[f].length;++v){m=+r[f][v].x;o.push(m,0,1,m,1,1,m,0,-1,m,0,-1,m,1,1,m,1,-1)}g=o.length/3|0;c[f]=h,u[f]=g-h}var y=n(t,new Float32Array(o)),x=i(t,[{buffer:y,type:t.FLOAT,size:3,stride:0,offset:0}]),b=a(t);return b.attributes.position.location=0,new p(t,y,x,b,l,s,u,c)};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"./shaders\").line,o=[0,0,0],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[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,u[0]=this.gl.drawingBufferWidth,u[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=u,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,i){var a=f(s);this.shader.uniforms.majorAxis=s,a[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=a;var o,u=h(c,r);u[t]+=e[0][t],this.shader.uniforms.offset=u,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 u=f(s);u[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=u;var p=h(c,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=f(o);d[t]=1,this.shader.uniforms.majorAxis=d;var m=f(l);m[t]=1,this.shader.uniforms.screenAxis=m,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,i,a){var o=f(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var u=h(c,n);u[t]+=r[0][t],this.shader.uniforms.offset=u;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()}},{\"./shaders\":74,\"gl-buffer\":78,\"gl-vao\":150}],74:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=t(\"gl-shader\"),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}\"]);r.line=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}\"]);r.text=function(t){return i(t,s,l,null,[{name:\"position\",type:\"vec3\"}])};var c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 enable;\\nuniform vec3 bounds[2];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n\\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\\n\\n  vec3 realNormal = signAxis * normal;\\n\\n  if(dot(realNormal, enable) > 0.0) {\\n    vec3 minRange = min(bounds[0], bounds[1]);\\n    vec3 maxRange = max(bounds[0], bounds[1]);\\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\\n    gl_Position = projection * view * model * vec4(nPosition, 1.0);\\n  } else {\\n    gl_Position = vec4(0,0,0,0);\\n  }\\n\\n  colorChannel = abs(realNormal);\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 colors[3];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n  gl_FragColor = colorChannel.x * colors[0] +\\n                 colorChannel.y * colors[1] +\\n                 colorChannel.z * colors[2];\\n}\"]);r.bg=function(t){return i(t,c,u,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},{\"gl-shader\":132,glslify:231}],75:[function(t,e,r){(function(r){(function(){\"use strict\";e.exports=function(t,e,r,a,s,l){var u=n(t),f=i(t,[{buffer:u,size:3}]),h=o(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,a,s,l),p};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"vectorize-text\"),o=t(\"./shaders\").text,s=window||r.global||{},l=s.__TEXT_CACHE||{};s.__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}var u=c.prototype,f=[0,0];u.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,f[0]=this.gl.drawingBufferWidth,f[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=f},u.unbind=function(){this.vao.unbind()},u.update=function(t,e,r,n,i){var o=[];function s(t,e,r,n,i,s){var c=l[r];c||(c=l[r]={});var u=c[e];u||(u=c[e]=function(t,e){try{return a(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=u.positions,p=u.cells,d=0,m=p.length;d<m;++d)for(var g=p[d],v=2;v>=0;--v){var y=h[g[v]];o.push(f*y[0],-f*y[1],t)}}for(var c=[0,0,0],u=[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]=o.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),h[d]=(o.length/3|0)-f[d],c[d]=o.length/3|0;for(var m=0;m<n[d].length;++m)n[d][m].text&&s(n[d][m].x,n[d][m].text,n[d][m].font||i,n[d][m].fontSize||12,1.25,p);u[d]=(o.length/3|0)-c[d]}this.buffer.update(o),this.tickOffset=c,this.tickCount=u,this.labelOffset=f,this.labelCount=h},u.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]))},u.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]))},u.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}}).call(this)}).call(this,t(\"_process\"))},{\"./shaders\":74,_process:5,\"gl-buffer\":78,\"gl-vao\":150,\"vectorize-text\":311}],76:[function(t,e,r){\"use strict\";function n(t,e){var r=t+\"\",n=r.indexOf(\".\"),i=0;n>=0&&(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*a),s=o+\"\";if(s.indexOf(\"e\")>=0)return s;var l=o/a,c=o%a;o<0?(l=0|-Math.ceil(l),c=0|-c):(l=0|Math.floor(l),c|=0);var u=\"\"+l;if(o<0&&(u=\"-\"+u),i){for(var f=\"\"+c;f.length<i;)f=\"0\"+f;return u+\".\"+f}return u}r.create=function(t,e){for(var r=[],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:n(e[i],o)});for(o=-1;o*e[i]>=t[0][i];--o)a.push({x:o*e[i],text:n(e[i],o)});r.push(a)}return r},r.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}},{}],77:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,l,f){var h=e.model||c,p=e.view||c,v=e.projection||c,y=e._ortho||!1,x=t.bounds,b=(f=f||a(h,p,v,x,y)).axis;o(u,p,h),o(u,v,u);for(var _=m,w=0;w<3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var T=n(s(u,u));s(u,u);for(var k=0;k<3;++k){var A=(k+1)%3,M=(k+2)%3,S=g;t:for(w=0;w<2;++w){var E=[];if(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=y?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 I=d(g,u,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(I[C])))}}}}return _};var n=t(\"extract-frustum-planes\"),i=t(\"split-polygon\"),a=t(\"./lib/cube.js\"),o=t(\"gl-mat4/multiply\"),s=t(\"gl-mat4/transpose\"),l=t(\"gl-vec4/transformMat4\"),c=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),u=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,c=0;c<3;++c)s[c]=o[c]=r[c];s[3]=o[3]=1,s[a]+=1,l(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,l(o,o,e),o[3]<0&&(t[a]=1/0);var u=(o[0]/o[3]-s[0]/s[3])*n,f=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(u*u+f*f)}return t}var m=[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]},{\"./lib/cube.js\":72,\"extract-frustum-planes\":67,\"gl-mat4/multiply\":100,\"gl-mat4/transpose\":109,\"gl-vec4/transformMat4\":221,\"split-polygon\":300}],78:[function(t,e,r){\"use strict\";var n=t(\"typedarray-pool\"),i=t(\"ndarray-ops\"),a=t(\"ndarray\"),o=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"];function s(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}var l=s.prototype;function c(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a<0)return t.bufferData(e,i,n),o;if(o+a>r)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,a,i),r}function u(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a<i;++a)r[a]=t[a];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if(\"number\"!=typeof e&&(e=-1),this.bind(),\"object\"==typeof t&&void 0!==t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r=\"float32\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER)r=gl.getExtension(\"OES_element_index_uint\")&&\"uint16\"!==r?\"uint32\":\"uint16\";if(r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=c(this.gl,this.type,this.length,this.usage,t.data,e):this.length=c(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=c(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?u(t,\"uint16\"):u(t,\"float32\"),this.length=c(this.gl,this.type,this.length,this.usage,e<0?f:f.subarray(0,t.length),e),n.free(f)}else if(\"object\"==typeof t&&\"number\"==typeof t.length)this.length=c(this.gl,this.type,this.length,this.usage,t,e);else{if(\"number\"!=typeof t&&void 0!==t)throw new Error(\"gl-buffer: Invalid data type\");if(e>=0)throw new Error(\"gl-buffer: Cannot specify offset when resizing buffer\");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},e.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}},{ndarray:259,\"ndarray-ops\":254,\"typedarray-pool\":308}],79:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\");e.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,c=1/0,u=-1/0,f=1/0,h=-1/0,p=null,d=null,m=[],g=1/0,v=!1,y=0;y<r.length;y++){var x=r[y];s=Math.min(x[0],s),l=Math.max(x[0],l),c=Math.min(x[1],c),u=Math.max(x[1],u),f=Math.min(x[2],f),h=Math.max(x[2],h);var b=i[y];if(n.length(b)>o&&(o=n.length(b)),y){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(g=Math.min(g,_),v=!1):v=!0}v||(p=x,d=b),m.push(b)}var w=[s,c,f],T=[l,u,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;y=0;for(var M=0;y<r.length;y++)for(var S=(x=r[y])[0],E=x[1],L=x[2],C=m[y],P=n.length(C)*k,I=0;I<8;I++){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 O=a.positions.length;a.cells.push([O-6,O-5,O-4],[O-3,O-2,O-1])}return a};var i=t(\"./lib/shaders\");e.exports.createMesh=t(\"./create_mesh\"),e.exports.createConeMesh=function(t,r){return e.exports.createMesh(t,r,{shaders:i,traceType:\"cone\"})}},{\"./create_mesh\":80,\"./lib/shaders\":81,\"gl-vec3\":169}],80:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"gl-mat4/multiply\"),l=t(\"gl-mat4/invert\"),c=t(\"ndarray\"),u=t(\"colormap\"),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,c,u){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=i,this.triangleVectors=a,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=c,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=u,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=f,this._view=f,this._projection=f,this._resolution=[1,1]}var p=h.prototype;function d(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}function m(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}p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),\"opacity\"in t&&(this.opacity=t.opacity),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=u({colormap:t,nshades:256,format:\"rgba\"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return c(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],f=[];this.cells=r,this.positions=n,this.vectors=i;var h=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,m=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],m=+t.vertexIntensityBounds[1];else for(var g=0;g<p.length;++g){var v=p[g];d=Math.min(d,v),m=Math.max(m,v)}else for(g=0;g<n.length;++g){v=n[g][2];d=Math.min(d,v),m=Math.max(m,v)}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]];for(g=0;g<n.length;++g)for(var y=n[g],x=0;x<3;++x)!isNaN(y[x])&&isFinite(y[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],y[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],y[x]));var b=0;t:for(g=0;g<r.length;++g){var _=r[g];switch(_.length){case 3:for(x=0;x<3;++x){y=n[T=_[x]];for(var w=0;w<3;++w)if(isNaN(y[w])||!isFinite(y[w]))continue t}for(x=0;x<3;++x){var T;y=n[T=_[2-x]];a.push(y[0],y[1],y[2],y[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)/(m-d),0]:[(y[2]-d)/(m-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 c={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};c.inverseModel=l(c.inverseModel,c.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);s(u,c.view,c.model),s(u,c.projection,u),l(u,u);for(o=0;o<3;++o)c.eyePosition[o]=u[12+o]/u[15];var h=u[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];c.lightPosition[o]=p/h}if(this.triangleCount>0){var m=this.triShader;m.bind(),m.uniforms=c,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||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()},e.exports=function(t,e,r){var n=r.shaders;1===arguments.length&&(t=(e=t).gl);var s=d(t,n),l=m(t,n),u=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));u.generateMipmap(),u.minFilter=t.LINEAR_MIPMAP_LINEAR,u.magFilter=t.LINEAR;var f=i(t),p=i(t),g=i(t),v=i(t),y=i(t),x=a(t,[{buffer:f,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:g,type:t.FLOAT,size:4},{buffer:v,type:t.FLOAT,size:2},{buffer:p,type:t.FLOAT,size:4}]),b=new h(t,u,s,l,f,p,y,g,v,x,r.traceType||\"cone\");return b.update(e),b}},{colormap:53,\"gl-buffer\":78,\"gl-mat4/invert\":98,\"gl-mat4/multiply\":100,\"gl-shader\":132,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259}],81:[function(t,e,r){var n=t(\"glslify\"),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}\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec3\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec3\"}]}},{glslify:231}],82:[function(t,e,r){e.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_FORM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t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function d(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var d=0;d<i;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var m=this,g=[0|e,0|r];Object.defineProperties(g,{0:{get:function(){return m._shape[0]},set:function(t){return m.width=t}},1:{get:function(){return m._shape[1]},set:function(t){return m.height=t}}}),this._shapeVector=g,function(t){var e=c(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),i=t._shape[0],a=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,m=t._useDepth,g=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var v=0;v<o;++v)t.color[v]=h(r,i,a,g,r.RGBA,r.COLOR_ATTACHMENT0+v);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 y=r.getExtension(\"WEBGL_depth_texture\");y?d?t.depth=h(r,i,a,y.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):m&&(t.depth=h(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):m&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):m?t._depth_rb=p(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){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);for(v=0;v<t.color.length;++v)t.color[v].dispose(),t.color[v]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),u(r,e),f(x)}u(r,e)}(this)}var m=d.prototype;function g(t,e,r){if(t._destroyed)throw new Error(\"gl-fbo: Can't resize destroyed FBO\");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,i=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var a=c(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),u(n,a),f(s)),u(n,a)}}Object.defineProperties(m,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error(\"gl-fbo: Shape vector must be length 2\");var e=0|t[0],r=0|t[1];return g(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return g(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,g(this,this._shape[0],t),t},enumerable:!1}}),m.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},m.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},{\"gl-texture2d\":146}],87:[function(t,e,r){var n=t(\"sprintf-js\").sprintf,i=t(\"gl-constants/lookup\"),a=t(\"glsl-shader-name\"),o=t(\"add-line-numbers\");e.exports=function(t,e,r){\"use strict\";var s=a(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==r&&(l=r===i.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var c=n(\"Error compiling %s shader %s:\\n\",l,s),u=n(\"%s%s\",c,t),f=t.split(\"\\n\"),h={},p=0;p<f.length;p++){var d=f[p];if(\"\"!==d&&\"\\0\"!==d){var m=parseInt(d.split(\":\")[2]);if(isNaN(m))throw new Error(n(\"Could not parse error: %s\",d));h[m]=d}}var g=o(e).split(\"\\n\");for(p=0;p<g.length;p++)if(h[p+3]||h[p+2]||h[p+1]){var v=g[p];if(c+=v+\"\\n\",h[p+1]){var y=h[p+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),c+=n(\"^^^ %s\\n\\n\",y)}}return{long:c.trim(),short:u.trim()}}},{\"add-line-numbers\":9,\"gl-constants/lookup\":83,\"glsl-shader-name\":223,\"sprintf-js\":301}],88:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=t.gl,n=o(r,l.vertex,l.fragment),i=o(r,l.pickVertex,l.pickFragment),a=s(r),u=s(r),f=s(r),h=s(r),p=new c(t,n,i,a,u,f,h);return p.update(e),t.addObject(p),p};var n=t(\"binary-search-bounds\"),i=t(\"iota-array\"),a=t(\"typedarray-pool\"),o=t(\"gl-shader\"),s=t(\"gl-buffer\"),l=t(\"./lib/shaders\");function c(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var u,f=c.prototype,h=[0,0,1,0,0,1,1,0,1,1,0,1];f.draw=(u=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var i=t.gl,a=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=a[2]-a[0],c=a[3]-a[1];u[0]=2*o/l,u[4]=2*s/c,u[6]=2*(r[0]-a[0])/l-1,u[7]=2*(r[1]-a[1])/c-1,e.bind();var f=e.uniforms;f.viewTransform=u,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,c=a[2]-a[0],u=a[3]-a[1],f=l[2]-l[0],h=l[3]-l[1];t[0]=2*c/f,t[4]=2*u/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 m=i.attributes;return this.positionBuffer.bind(),m.position.pointer(),this.weightBuffer.bind(),m.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),m.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),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 c,u,f,p,d=t.colorLevels||[0],m=t.colorValues||[0,0,0,1],g=d.length,v=this.bounds;l?(c=v[0]=r[0],u=v[1]=o[0],f=v[2]=r[r.length-1],p=v[3]=o[o.length-1]):(c=v[0]=r[0]+(r[1]-r[0])/2,u=v[1]=o[0]+(o[1]-o[0])/2,f=v[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=v[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var y=1/(f-c),x=1/(p-u),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,I;l?(P=x*(o[C]-u),I=x*(o[C+1]-u)):(P=C<_-1?x*(o[C]-(o[C+1]-o[C])/2-u):x*(o[C]-(o[C]-o[C-1])/2-u),I=C<_-1?x*(o[C]+(o[C+1]-o[C])/2-u):x*(o[C]+(o[C]-o[C-1])/2-u));for(var O=0;O<E;++O){var z,D;l?(z=y*(r[O]-c),D=y*(r[O+1]-c)):(z=O<b-1?y*(r[O]-(r[O+1]-r[O])/2-c):y*(r[O]-(r[O]-r[O-1])/2-c),D=O<b-1?y*(r[O]+(r[O+1]-r[O])/2-c):y*(r[O]+(r[O]-r[O-1])/2-c));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+(O+U):C*b+O],q=n.le(d,H);if(q<0)F=m[0],B=m[1],N=m[2],j=m[3];else if(q===g-1)F=m[4*g-4],B=m[4*g-3],N=m[4*g-2],j=m[4*g-1];else{var G=(H-d[q])/(d[q+1]-d[q]),Y=1-G,W=4*q,X=4*(q+1);F=Y*m[W]+G*m[X],B=Y*m[W+1]+G*m[X+1],N=Y*m[W+2]+G*m[X+2],j=Y*m[W+3]+G*m[X+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*z+.5*D,k[2*S+1]=.5*P+.5*I,A[2*S]=U,A[2*S+1]=V,M[S]=C*b+O,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)}},{\"./lib/shaders\":89,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-shader\":132,\"iota-array\":235,\"typedarray-pool\":308}],89:[function(t,e,r){\"use strict\";var n=t(\"glslify\");e.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\"])}},{glslify:231}],90:[function(t,e,r){var n=t(\"glslify\"),i=t(\"gl-shader\"),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\"}];r.createShader=function(t){return i(t,a,o,null,l)},r.createPickShader=function(t){return i(t,a,s,null,l)}},{\"gl-shader\":132,glslify:231}],91:[function(t,e,r){\"use strict\";e.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}]),u=c(new Array(1024),[256,1,4]),p=0;p<1024;++p)u.data[p]=255;var d=a(e,u);d.wrap=e.REPEAT;var m=new v(e,r,o,s,l,d);return m.update(t),m};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"gl-texture2d\"),o=new Uint8Array(4),s=new Float32Array(o.buffer);var l=t(\"binary-search-bounds\"),c=t(\"ndarray\"),u=t(\"./lib/shaders\"),f=u.createShader,h=u.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function m(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function g(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function v(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 y=v.prototype;y.isTransparent=function(){return this.hasAlpha},y.isOpaque=function(){return!this.hasAlpha},y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.drawTransparent=y.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:m(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()}},y.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:m(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.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,u=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],m=t.lineWidth||1,g=!1;t:for(e=1;e<h.length;++e){var v,y,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]);u+=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])?(v=p.length>e-1?p[e-1]:p.length>0?p[p.length-1]:[0,0,0,1],y=p.length>e?p[e]:p.length>0?p[p.length-1]:[0,0,0,1]):v=y=p,3===v.length&&(v=[v[0],v[1],v[2],1]),3===y.length&&(y=[y[0],y[1],y[2],1]),!this.hasAlpha&&v[3]<1&&(this.hasAlpha=!0),x=Array.isArray(m)?m.length>e-1?m[e-1]:m.length>0?m[m.length-1]:[0,0,0,1]:m;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,v[0],v[1],v[2],v[3]);u+=2,g=!1}i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,v[0],v[1],v[2],v[3],b[0],b[1],b[2],_[0],_[1],_[2],T,-x,v[0],v[1],v[2],v[3],_[0],_[1],_[2],b[0],b[1],b[2],s,-x,y[0],y[1],y[2],y[3],_[0],_[1],_[2],b[0],b[1],b[2],s,x,y[0],y[1],y[2],y[3]),u+=4}}if(this.buffer.update(i),a.push(s),o.push(h[h.length-1].slice()),this.bounds=f,this.vertexCount=u,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=c(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)}},y.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()},y.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=function(t,e,r,n){return o[0]=n,o[1]=r,o[2]=e,o[3]=t,s[0]}(t.value[0],t.value[1],t.value[2],0),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]),c=1-a,u=[0,0,0],f=0;f<3;++f)u[f]=c*n[f]+a*i[f];var h=Math.min(a<.5?r:r+1,this.points.length-1);return new g(e,u,h,this.points[h])}},{\"./lib/shaders\":90,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259}],92:[function(t,e,r){e.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}},{}],93:[function(t,e,r){e.exports=function(){var t=new Float32Array(16);return 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t[0]=1-(p+m),t[1]=f+y,t[2]=h-v,t[3]=0,t[4]=f-y,t[5]=1-(u+m),t[6]=d+g,t[7]=0,t[8]=h+v,t[9]=d-g,t[10]=1-(u+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},{}],97:[function(t,e,r){e.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}},{}],98:[function(t,e,r){e.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],c=e[7],u=e[8],f=e[9],h=e[10],p=e[11],d=e[12],m=e[13],g=e[14],v=e[15],y=r*s-n*o,x=r*l-i*o,b=r*c-a*o,_=n*l-i*s,w=n*c-a*s,T=i*c-a*l,k=u*m-f*d,A=u*g-h*d,M=u*v-p*d,S=f*g-h*m,E=f*v-p*m,L=h*v-p*g,C=y*L-x*E+b*S+_*M-w*A+T*k;if(!C)return null;return C=1/C,t[0]=(s*L-l*E+c*S)*C,t[1]=(i*E-n*L-a*S)*C,t[2]=(m*T-g*w+v*_)*C,t[3]=(h*w-f*T-p*_)*C,t[4]=(l*M-o*L-c*A)*C,t[5]=(r*L-i*M+a*A)*C,t[6]=(g*b-d*T-v*x)*C,t[7]=(u*T-h*b+p*x)*C,t[8]=(o*E-s*M+c*k)*C,t[9]=(n*M-r*E-a*k)*C,t[10]=(d*w-m*b+v*y)*C,t[11]=(f*b-u*w-p*y)*C,t[12]=(s*A-o*S-l*k)*C,t[13]=(r*S-n*A+i*k)*C,t[14]=(m*x-d*_-g*y)*C,t[15]=(u*_-f*x+h*y)*C,t}},{}],99:[function(t,e,r){var n=t(\"./identity\");e.exports=function(t,e,r,i){var a,o,s,l,c,u,f,h,p,d,m=e[0],g=e[1],v=e[2],y=i[0],x=i[1],b=i[2],_=r[0],w=r[1],T=r[2];if(Math.abs(m-_)<1e-6&&Math.abs(g-w)<1e-6&&Math.abs(v-T)<1e-6)return n(t);f=m-_,h=g-w,p=v-T,d=1/Math.sqrt(f*f+h*h+p*p),a=x*(p*=d)-b*(h*=d),o=b*(f*=d)-y*p,s=y*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,c=p*a-f*s,u=f*o-h*a,(d=Math.sqrt(l*l+c*c+u*u))?(l*=d=1/d,c*=d,u*=d):(l=0,c=0,u=0);return t[0]=a,t[1]=l,t[2]=f,t[3]=0,t[4]=o,t[5]=c,t[6]=h,t[7]=0,t[8]=s,t[9]=u,t[10]=p,t[11]=0,t[12]=-(a*m+o*g+s*v),t[13]=-(l*m+c*g+u*v),t[14]=-(f*m+h*g+p*v),t[15]=1,t}},{\"./identity\":97}],100:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],m=e[12],g=e[13],v=e[14],y=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*f+w*m,t[1]=x*i+b*l+_*h+w*g,t[2]=x*a+b*c+_*p+w*v,t[3]=x*o+b*u+_*d+w*y,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*f+w*m,t[5]=x*i+b*l+_*h+w*g,t[6]=x*a+b*c+_*p+w*v,t[7]=x*o+b*u+_*d+w*y,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*f+w*m,t[9]=x*i+b*l+_*h+w*g,t[10]=x*a+b*c+_*p+w*v,t[11]=x*o+b*u+_*d+w*y,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*f+w*m,t[13]=x*i+b*l+_*h+w*g,t[14]=x*a+b*c+_*p+w*v,t[15]=x*o+b*u+_*d+w*y,t}},{}],101:[function(t,e,r){e.exports=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t}},{}],102:[function(t,e,r){e.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}},{}],103:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,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);if(Math.abs(P)<1e-6)return null;E*=P=1/P,L*=P,C*=P,i=Math.sin(r),a=Math.cos(r),o=1-a,s=e[0],l=e[1],c=e[2],u=e[3],f=e[4],h=e[5],p=e[6],d=e[7],m=e[8],g=e[9],v=e[10],y=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+m*_,t[1]=l*x+h*b+g*_,t[2]=c*x+p*b+v*_,t[3]=u*x+d*b+y*_,t[4]=s*w+f*T+m*k,t[5]=l*w+h*T+g*k,t[6]=c*w+p*T+v*k,t[7]=u*w+d*T+y*k,t[8]=s*A+f*M+m*S,t[9]=l*A+h*M+g*S,t[10]=c*A+p*M+v*S,t[11]=u*A+d*M+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t}},{}],104:[function(t,e,r){e.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],c=e[8],u=e[9],f=e[10],h=e[11];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]);return t[4]=a*i+c*n,t[5]=o*i+u*n,t[6]=s*i+f*n,t[7]=l*i+h*n,t[8]=c*i-a*n,t[9]=u*i-o*n,t[10]=f*i-s*n,t[11]=h*i-l*n,t}},{}],105:[function(t,e,r){e.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],c=e[8],u=e[9],f=e[10],h=e[11];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]);return t[0]=a*i-c*n,t[1]=o*i-u*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+c*i,t[9]=o*n+u*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}},{}],106:[function(t,e,r){e.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],c=e[4],u=e[5],f=e[6],h=e[7];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]);return t[0]=a*i+c*n,t[1]=o*i+u*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=c*i-a*n,t[5]=u*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}},{}],107:[function(t,e,r){e.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}},{}],108:[function(t,e,r){e.exports=function(t,e,r){var n,i,a,o,s,l,c,u,f,h,p,d,m=r[0],g=r[1],v=r[2];e===t?(t[12]=e[0]*m+e[4]*g+e[8]*v+e[12],t[13]=e[1]*m+e[5]*g+e[9]*v+e[13],t[14]=e[2]*m+e[6]*g+e[10]*v+e[14],t[15]=e[3]*m+e[7]*g+e[11]*v+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=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]=c,t[7]=u,t[8]=f,t[9]=h,t[10]=p,t[11]=d,t[12]=n*m+s*g+f*v+e[12],t[13]=i*m+l*g+h*v+e[13],t[14]=a*m+c*g+p*v+e[14],t[15]=o*m+u*g+d*v+e[15]);return t}},{}],109:[function(t,e,r){e.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}},{}],110:[function(t,e,r){\"use strict\";var n=t(\"barycentric\"),i=t(\"polytope-closest-point/lib/closest_point_2d.js\");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}e.exports=function(t,e,r,a,l,c){if(1===t.length)return[0,t[0].slice()];for(var u=new Array(t.length),f=0;f<t.length;++f)u[f]=o(t[f],r,a,l,c);var h=0,p=1/0;for(f=0;f<u.length;++f){for(var d=0,m=0;m<2;++m)d+=Math.pow(u[f][m]-e[m],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),r+a<1e-6?[1,0]:[a/(r+a),r/(a+r)]}if(3===t.length){var s=[0,0];return i(t[0],t[1],t[2],e,s),n(t,s)}return[]}(u,e),v=0;for(f=0;f<3;++f){if(g[f]<-.001||g[f]>1.0001)return null;v+=g[f]}if(Math.abs(v-1)>.001)return null;return[h,s(t,g),g]}},{barycentric:14,\"polytope-closest-point/lib/closest_point_2d.js\":270}],111:[function(t,e,r){var n=t(\"glslify\"),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, normal;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model\\n           , view\\n           , projection\\n           , inverseModel;\\nuniform vec3 eyePosition\\n           , lightPosition;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  gl_Position      = project(position);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  f_color          = color;\\n  f_data           = position;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n            , fresnel\\n            , kambient\\n            , kdiffuse\\n            , kspecular;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (f_color.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\\n  ) discard;\\n\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\\n\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * f_color.a;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_color = color;\\n  f_data  = position;\\n  f_uv    = uv;\\n}\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\n\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\nattribute float pointSize;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\\n  } else {\\n    gl_Position = projection * view * model * vec4(position, 1.0);\\n  }\\n  gl_PointSize = pointSize;\\n  f_color = color;\\n  f_uv = uv;\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\\n  if(dot(pointR, pointR) > 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_id        = id;\\n  f_position  = position;\\n}\"]),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\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.wireShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.pointShader={vertex:l,fragment:c,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},r.pickShader={vertex:u,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},r.pointPickShader={vertex:h,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},r.contourShader={vertex:p,fragment:d,attributes:[{name:\"position\",type:\"vec3\"}]}},{glslify:231}],112:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"normals\"),l=t(\"gl-mat4/multiply\"),c=t(\"gl-mat4/invert\"),u=t(\"ndarray\"),f=t(\"colormap\"),h=t(\"simplicial-complex-contour\"),p=t(\"typedarray-pool\"),d=t(\"./lib/shaders\"),m=t(\"./lib/closest-point\"),g=d.meshShader,v=d.wireShader,y=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,c,u,f,h,p,d,m,g,v,y,x,b,_,T,k,A,M,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=u,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=c,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=g,this.edgeUVs=v,this.edgeIds=m,this.edgeVAO=y,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,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}function S(t){var e=n(t,v.vertex,v.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}function E(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.attributes.pointSize.location=4,e}function L(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function C(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 P(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 c=r[l],u=0;u<2;++u){var f=c[0];2===c.length&&(f=c[u]);for(var d=n[f][0],m=n[f][1],g=i[f],v=1-g,y=this.positions[d],x=this.positions[m],b=0;b<3;++b)o[s++]=g*y[b]+v*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 u(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var i=[],a=[],l=[],c=[],h=[],p=[],d=[],m=[],g=[],v=[],y=[],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,I=t.cellUVs,O=t.cellIntensity,z=1/0,D=-1/0;if(!C&&!I)if(P)if(t.vertexIntensityBounds)z=+t.vertexIntensityBounds[0],D=+t.vertexIntensityBounds[1];else for(var R=0;R<P.length;++R){var F=P[R];z=Math.min(z,F),D=Math.max(D,F)}else if(O)if(t.cellIntensityBounds)z=+t.cellIntensityBounds[0],D=+t.cellIntensityBounds[1];else for(R=0;R<O.length;++R){F=O[R];z=Math.min(z,F),D=Math.max(D,F)}else for(R=0;R<n.length;++R){F=n[R][2];z=Math.min(z,F),D=Math.max(D,F)}this.intensity=P||(O||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=!(O||E);var B=t.pointSizes,N=t.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(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[W=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;v.push(j[0],j[1],j[2]),X=S?S[W]:E?E[R]:L,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===X.length?y.push(X[0],X[1],X[2],this.opacity):(y.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],x.push(Z[0],Z[1]),B?b.push(B[W]):b.push(N),_.push(R),q+=1;break;case 2:for(U=0;U<2;++U){j=n[W=G[U]];for(var Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t}for(U=0;U<2;++U){j=n[W=G[U]];p.push(j[0],j[1],j[2]),X=S?S[W]:E?E[R]:L,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===X.length?d.push(X[0],X[1],X[2],this.opacity):(d.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],m.push(Z[0],Z[1]),g.push(R)}H+=1;break;case 3:for(U=0;U<3;++U)for(j=n[W=G[U]],Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t;for(U=0;U<3;++U){var W,X,Z,J;j=n[W=G[2-U]];i.push(j[0],j[1],j[2]),(X=S?S[W]:E?E[R]:L)?this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===X.length?a.push(X[0],X[1],X[2],this.opacity):(a.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)):a.push(.5,.5,.5,1),Z=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],c.push(Z[0],Z[1]),J=w?w[W]: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(v),this.pointColors.update(y),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(m),this.edgeIds.update(new Uint32Array(g)),this.trianglePositions.update(i),this.triangleColors.update(a),this.triangleUVs.update(c),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(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=c(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);l(u,s.view,s.model),l(u,s.projection,u),c(u,u);for(o=0;o<3;++o)s.eyePosition[o]=u[12+o]/u[15];var f,h=u[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/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]],c=this.positions[r[1]],u=this.positions[r[2]],f=[(l[0]+c[0]+u[0])/3,(l[1]+c[1]+u[1])/3,(l[2]+c[2]+u[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:f}}var h=m(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()},e.exports=function(t,e){1===arguments.length&&(t=(e=t).gl);var r=t.getExtension(\"OES_standard_derivatives\")||t.getExtension(\"MOZ_OES_standard_derivatives\")||t.getExtension(\"WEBKIT_OES_standard_derivatives\");if(!r)throw new Error(\"derivatives not supported\");var n=M(t),s=S(t),l=E(t),c=L(t),f=C(t),h=P(t),p=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=i(t),m=i(t),g=i(t),v=i(t),y=i(t),x=a(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:m,type:t.FLOAT,size:4},{buffer:g,type:t.FLOAT,size:2},{buffer:v,type:t.FLOAT,size:3}]),b=i(t),_=i(t),w=i(t),k=i(t),A=a(t,[{buffer:b,type:t.FLOAT,size:3},{buffer:k,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:_,type:t.FLOAT,size:4},{buffer:w,type:t.FLOAT,size:2}]),I=i(t),O=i(t),z=i(t),D=i(t),R=i(t),F=a(t,[{buffer:I,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:O,type:t.FLOAT,size:4},{buffer:z,type:t.FLOAT,size:2},{buffer:D,type:t.FLOAT,size:1}]),B=i(t),N=a(t,[{buffer:B,type:t.FLOAT,size:3}]),j=new T(t,p,n,s,l,c,f,h,d,y,m,g,v,x,b,k,_,w,A,I,R,O,z,D,F,B,N);return j.update(e),j}},{\"./lib/closest-point\":110,\"./lib/shaders\":111,colormap:53,\"gl-buffer\":78,\"gl-mat4/invert\":98,\"gl-mat4/multiply\":100,\"gl-shader\":132,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259,normals:261,\"simplicial-complex-contour\":291,\"typedarray-pool\":308}],113:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[0,0,0,1,1,0,1,1]),s=i(e,a.boxVert,a.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"./shaders\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,i){var a=this.plot,o=this.shader,c=a.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=i,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":116,\"gl-buffer\":78,\"gl-shader\":132}],114:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),a=i(e,o.gridVert,o.gridFrag),l=i(e,o.tickVert,o.gridFrag);return new s(t,r,a,l)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"binary-search-bounds\"),o=t(\"./shaders\");function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var c,u,f,h,p,d=s.prototype;d.draw=(c=[0,0],u=[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,m=0;m<2;++m){var g=a[m],v=a[m+2]-g,y=.5*(o[m+2]+o[m]),x=o[m+2]-o[m];u[m]=2*v/x,c[m]=2*(g-y)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=c,r.uniforms.dataScale=u;var b=0;for(m=0;m<2;++m){f[0]=f[1]=0,f[m]=1,r.uniforms.dataAxis=f,r.uniforms.lineWidth=l[m]/(s[m+2]-s[m])*d,r.uniforms.color=h[m];var _=6*n[m].length;p[m]&&_&&i.drawArrays(i.TRIANGLES,b,_),b+=_}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],i=[0,0],o=[0,0];return function(){for(var s=this.plot,c=this.vbo,u=this.tickShader,f=this.ticks,h=s.gl,p=s._tickBounds,d=s.dataBox,m=s.viewBox,g=s.pixelRatio,v=s.screenBox,y=v[2]-v[0],x=v[3]-v[1],b=m[2]-m[0],_=m[3]-m[1],w=0;w<2;++w){var T=p[w],k=p[w+2]-T,A=.5*(d[w+2]+d[w]),M=d[w+2]-d[w];e[w]=2*k/M,t[w]=2*(T-A)/M}e[0]*=b/y,t[0]*=b/y,e[1]*=_/x,t[1]*=_/x,u.bind(),c.bind(),u.attributes.dataCoord.pointer();var S=u.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,L=s.tickMarkWidth,C=s.tickMarkColor,P=6*f[0].length,I=Math.min(a.ge(f[0],(d[0]-p[0])/(p[2]-p[0]),l),f[0].length),O=Math.min(a.gt(f[0],(d[2]-p[0])/(p[2]-p[0]),l),f[0].length),z=0+6*I,D=6*Math.max(0,O-I),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*(m[0]-E[1])/y-1,i[1]=(m[3]+m[1])/x-1,o[0]=E[1]*g/y,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]=(m[2]+m[0])/y-1,i[1]=2*(m[1]-E[0])/x-1,o[0]=L[0]*g/y,o[1]=E[0]*g/x,D&&(S.color=C[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,z,D)),i[0]=2*(m[2]+E[3])/y-1,i[1]=(m[3]+m[1])/x-1,o[0]=E[3]*g/y,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]=(m[2]+m[0])/y-1,i[1]=2*(m[3]+E[2])/x-1,o[0]=L[2]*g/y,o[1]=E[2]*g/x,D&&(S.color=C[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,z,D))}}(),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],c=r[o],u=r[o+2],f=0;f<l.length;++f){var d=(l[f].x-c)/(u-c);s.push(d);for(var m=0;m<6;++m)n[i++]=d,n[i++]=h[m],n[i++]=p[m]}this.ticks=a,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},{\"./shaders\":116,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-shader\":132}],115:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[-1,-1,-1,1,1,-1,1,1]),s=i(e,a.lineVert,a.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"./shaders\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,i,a){var o=this.plot,c=this.shader,u=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,c.uniforms.start=s,c.uniforms.end=l,c.uniforms.width=i*o.pixelRatio,c.uniforms.color=a,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":116,\"gl-buffer\":78,\"gl-shader\":132}],116:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),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\"]);e.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\"])}},{glslify:231}],117:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),a=i(e,s.textVert,s.textFrag);return new l(t,r,a)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"text-cache\"),o=t(\"binary-search-bounds\"),s=t(\"./shaders\");function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var c,u,f,h,p,d,m=l.prototype;m.drawTicks=(c=[0,0],u=[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,m=e.tickPad,g=e.tickColor,v=e.tickAngle,y=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]);c[0]=c[1]=0,c[t]=1,u[t]=(s[2+t]+s[t])/(h[2+t]-h[t])-1;var M=2/h[2+(1^t)]-h[1^t];u[1^t]=M*s[1^t]-1,d[t]&&(u[1^t]-=M*p*m[t],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=g[t],r.uniforms.angle=v[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),y[t]&&T&&(u[1^t]-=M*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=u,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),u[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(u[1^t]+=M*p*m[t+2],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=g[t+2],r.uniforms.angle=v[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),y[t+2]&&T&&(u[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=u,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),m.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,c=r.pixelRatio;if(this.titleCount){for(var u=0;u<2;++u)e[u]=2*(o[u]*c-a[u])/(a[2+u]-a[u])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),m.bind=(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,c=.5*(n[o+2]+n[o]),u=n[o+2]-n[o],f=a[o],m=a[o+2]-f,g=i[o],v=i[o+2]-g;p[o]=2*l/u*m/v,h[o]=2*(s-c)/u*m/v}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()}),m.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,c=t.bounds;for(o=0;o<2;++o){var u=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e<h.length;++e){var p=h[e],d=p.x,m=p.text,g=p.font||\"sans-serif\";i=p.fontSize||12;for(var v=1/(c[o+2]-c[o]),y=c[o],x=m.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-y)*v);u.push(Math.floor(s.length/3)),f.push(d)}this.tickOffset[o]=u,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)},m.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":116,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-shader\":132,\"text-cache\":303}],118:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[e.drawingBufferWidth,e.drawingBufferHeight]),c=new l(e,r);return c.grid=i(c),c.text=a(c),c.line=o(c),c.box=s(c),c.update(t),c};var n=t(\"gl-select-static\"),i=t(\"./lib/grid\"),a=t(\"./lib/text\"),o=t(\"./lib/line\"),s=t(\"./lib/box\");function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var c=l.prototype;function u(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function f(t,e){return t.x-e.x}c.setDirty=function(){this.dirty=this.pickDirty=!0},c.setOverlayDirty=function(){this.dirty=!0},c.nextDepthValue=function(){return this._depthCounter++/65536},c.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,i=this.pixelRatio,a=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var c=this.borderColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var u=this.backgroundColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var 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 m=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(m,e[1],m,e[3],p[d],h[d]):o.drawLine(e[0],m,e[2],m,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,v=this.borderLineWidth,y=this.borderLineColor;for(g[1]&&o.drawLine(r[0],r[1]-.5*v[1]*i,r[0],r[3]+.5*v[3]*i,v[1],y[1]),g[0]&&o.drawLine(r[0]-.5*v[0]*i,r[1],r[2]+.5*v[2]*i,r[1],v[0],y[0]),g[3]&&o.drawLine(r[2],r[1]-.5*v[1]*i,r[2],r[3]+.5*v[3]*i,v[3],y[3]),g[2]&&o.drawLine(r[0]-.5*v[0]*i,r[3],r[2]+.5*v[2]*i,r[3],v[2],y[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},c.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl,this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},c.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,i=this.viewBox,a=0|Math.round((t-i[0]/r)*n),o=0|Math.round((e-i[1]/r)*n),s=this.pickBuffer.query(a,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),c=this.objects,u=0;u<c.length;++u){var f=c[u].pick(a,o,l);if(f)return f}return null}},c.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},c.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},c.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},c.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]);this.screenBox;this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,i=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/i,10,10/i]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=u(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=u(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=u(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!(\"titleEnable\"in t)||!!t.titleEnable,this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=u(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=u(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=u(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var a=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=a[s].slice(0);0!==l.length&&(l.sort(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()},c.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();this.objects.length=0;for(t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},c.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},c.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},c.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},c.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},{\"./lib/box\":113,\"./lib/grid\":114,\"./lib/line\":115,\"./lib/text\":117,\"gl-select-static\":131}],119:[function(t,e,r){\"use strict\";e.exports=function(t,e){t=t||document.body,e=e||{};var r=[.01,1/0];\"distanceLimits\"in e&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]);\"zoomMin\"in e&&(r[0]=e.zoomMin);\"zoomMax\"in e&&(r[1]=e.zoomMax);var c=i({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||\"orbit\",distanceLimits:r}),u=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],f=0,h=t.clientWidth,p=t.clientHeight,d={keyBindingMode:\"rotate\",enableWheel:!0,view:c,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:c.modes,_ortho:e._ortho||e.projection&&\"orthographic\"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,i=e-2*r;c.idle(e-r),c.recalcMatrix(i),c.flush(e-(100+2*r));for(var a=!0,o=c.computedMatrix,s=0;s<16;++s)a=a&&u[s]===o[s],u[s]=o[s];var l=t.clientWidth===h&&t.clientHeight===p;return h=t.clientWidth,p=t.clientHeight,a?!l:(f=Math.exp(c.computedRadius[0]),!0)},lookAt:function(t,e,r){c.lookAt(c.lastT(),t,e,r)},rotate:function(t,e,r){c.rotate(c.lastT(),t,e,r)},pan:function(t,e,r){c.pan(c.lastT(),t,e,r)},translate:function(t,e,r){c.translate(c.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return c.computedMatrix},set:function(t){return c.setMatrix(c.lastT(),t),c.computedMatrix},enumerable:!0},mode:{get:function(){return c.getMode()},set:function(t){var e=c.computedUp.slice(),r=c.computedEye.slice(),i=c.computedCenter.slice();if(c.setMode(t),\"turntable\"===t){var a=n();c._active.lookAt(a,r,i,e),c._active.lookAt(a+500,r,i,[0,0,1]),c._active.flush(a)}return c.getMode()},enumerable:!0},center:{get:function(){return c.computedCenter},set:function(t){return c.lookAt(c.lastT(),null,t),c.computedCenter},enumerable:!0},eye:{get:function(){return c.computedEye},set:function(t){return c.lookAt(c.lastT(),t),c.computedEye},enumerable:!0},up:{get:function(){return c.computedUp},set:function(t){return c.lookAt(c.lastT(),null,null,t),c.computedUp},enumerable:!0},distance:{get:function(){return f},set:function(t){return c.setDistance(c.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return c.getDistanceLimits(r)},set:function(t){return c.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener(\"contextmenu\",(function(t){return t.preventDefault(),!1})),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,i,a){var o=d.keyBindingMode;if(!1!==o){var s=\"rotate\"===o,l=\"pan\"===o,u=\"zoom\"===o,h=!!a.control,p=!!a.alt,m=!!a.shift,g=!!(1&e),v=!!(2&e),y=!!(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&&!m||g&&!h&&!p&&m)&&c.rotate(A,w*k*b,-T*k*_,0),(l&&g&&!h&&!p&&!m||v||g&&h&&!p&&!m)&&c.pan(A,-d.translateSpeed*b*f,d.translateSpeed*_*f,0),u&&g&&!h&&!p&&!m||y||g&&!h&&p&&!m)){var M=-d.zoomSpeed*_/window.innerHeight*(A-c.lastT())*100;c.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))c.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-c.lastT())/20;c.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=t(\"right-now\"),i=t(\"3d-view\"),a=t(\"mouse-change\"),o=t(\"mouse-wheel\"),s=t(\"mouse-event-offset\"),l=t(\"has-passive-events\")},{\"3d-view\":7,\"has-passive-events\":232,\"mouse-change\":247,\"mouse-event-offset\":248,\"mouse-wheel\":250,\"right-now\":278}],120:[function(t,e,r){var n=t(\"glslify\"),i=t(\"gl-shader\"),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}\"]);e.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec2\"}])}},{\"gl-shader\":132,glslify:231}],121:[function(t,e,r){\"use strict\";var n=t(\"./camera.js\"),i=t(\"gl-axes3d\"),a=t(\"gl-axes3d/properties\"),o=t(\"gl-spikes3d\"),s=t(\"gl-select-static\"),l=t(\"gl-fbo\"),c=t(\"a-big-triangle\"),u=t(\"mouse-change\"),f=t(\"gl-mat4/perspective\"),h=t(\"gl-mat4/ortho\"),p=t(\"./lib/shader\"),d=t(\"is-mobile\")({tablet:!0,featureDetect:!0});function m(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function g(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}if(e>0){r=Math.round(Math.pow(10,e));return Math.ceil(t/r)*r}return Math.ceil(t)}function v(t){return\"boolean\"!=typeof t||t}e.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;if(!e){if(e=document.createElement(\"canvas\"),t.container)t.container.appendChild(e);else document.body.appendChild(e)}var r=t.gl;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}));if(!r)throw new Error(\"webgl not supported\");var y=t.bounds||[[-10,-10,-10],[10,10,10]],x=new m,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=[],I=!0,O=!0,z=new Array(16),D=new Array(16),R={view:null,projection:z,model:D,_ortho:!1},F=(O=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),B=t.cameraObject||n(e,T),N={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:B,axes:A,axesPixels:null,spikes:S,bounds:y,objects:E,shape:F,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:v(t.autoResize),autoBounds:v(t.autoBounds),autoScale:!!t.autoScale,autoCenter:v(t.autoCenter),clipToBounds:v(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:R,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,O=!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)}},j=[r.drawingBufferWidth/N.pixelRatio|0,r.drawingBufferHeight/N.pixelRatio|0];function U(){if(!N._stopped&&N.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*N.pixelRatio),a=0|Math.ceil(n*N.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\",I=!0}}}N.autoResize&&U();function V(){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,F);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 H(){if(N.contextLost)return!0;r.isContextLost()&&(N.contextLost=!0,N.mouseListener.enabled=!1,N.selection.object=null,N.oncontextloss&&N.oncontextloss())}window.addEventListener(\"resize\",U),N.update=function(t){N._stopped||(t=t||{},I=!0,O=!0)},N.add=function(t){N._stopped||(t.axes=A,E.push(t),L.push(-1),I=!0,O=!0,V())},N.remove=function(t){if(!N._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),I=!0,O=!0,V())}},N.dispose=function(){if(!N._stopped&&(N._stopped=!0,window.removeEventListener(\"resize\",U),e.removeEventListener(\"webglcontextlost\",H),N.mouseListener.enabled=!1,!N.contextLost)){A.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();b.dispose();for(t=0;t<P.length;++t)P[t].dispose();_.dispose(),r=null,A=null,S=null,E=[]}},N._mouseRotating=!1,N._prevButtons=0,N.enableMouseListeners=function(){N.mouseListener=u(e,(function(t,e,r){if(!N._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&&N._prevButtons)N._mouseRotating=!0;else{N._mouseRotating&&(O=!0),N._mouseRotating=!1;for(var s=0;s<n;++s){var l=P[s].query(e,j[1]-r-1,N.pickRadius);if(l){if(l.distance>x.distance)continue;for(var c=0;c<i;++c){var u=E[c];if(L[c]===s){var f=u.pick(l);f&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=u,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),I=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),I=!0),(o=o||x.object!==a)&&N.onselect&&N.onselect(x),1&t&&!(1&N._prevButtons)&&N.onclick&&N.onclick(x),N._prevButtons=t}}))},e.addEventListener(\"webglcontextlost\",H);var q=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],G=[q[0].slice(),q[1].slice()];function Y(){if(!H()){U();var t=N.camera.tick();R.view=N.camera.matrix,I=I||t,O=O||t,A.pixelRatio=N.pixelRatio,S.pixelRatio=N.pixelRatio;var e=E.length,n=q[0],i=q[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=N.pixelRatio,C.axes=N.axes,I=I||!!C.dirty,O=O||!!C.dirty;var s=C.bounds;if(s)for(var l=s[0],u=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),i[p]=Math.max(i[p],u[p])}var d=N.bounds;if(N.autoBounds)for(p=0;p<3;++p){if(i[p]<n[p])n[p]=-1,i[p]=1;else{n[p]===i[p]&&(n[p]-=1,i[p]+=1);var m=.05*(i[p]-n[p]);n[p]=n[p]-m,i[p]=i[p]+m}d[0][p]=n[p],d[1][p]=i[p]}var v=!1;for(p=0;p<3;++p)v=v||G[0][p]!==d[0][p]||G[1][p]!==d[1][p],G[0][p]=d[0][p],G[1][p]=d[1][p];if(O=O||v,I=I||v){if(v){var y=[0,0,0];for(o=0;o<3;++o)y[o]=g((d[1][o]-d[0][o])/10);A.autoTicks?A.update({bounds:d,tickSpacing:y}):A.update({bounds:d})}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;F[0]=T,F[1]=k,j[0]=0|Math.max(T/N.pixelRatio,1),j[1]=0|Math.max(k/N.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,i=n.projection,a=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,c=t.zFar,u=t.fovy,p=o/s;e?(h(i,-p,p,-1,1,l,c),n._ortho=!0):(f(i,u,p,l,c),n._ortho=!1);for(var d=0;d<16;++d)a[d]=0;a[15]=1;var m=0;for(d=0;d<3;++d)m=Math.max(m,r[1][d]-r[0][d]);for(d=0;d<3;++d)t.autoScale?a[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):a[5*d]=1/m,t.autoCenter&&(a[12+d]=.5*-a[5*d]*(r[0][d]+r[1][d]))}(N,w);for(o=0;o<e;++o){(C=E[o]).axesBounds=d,N.clipToBounds&&(C.clipBounds=d)}x.object&&(N.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),O&&(O=!1,function(){if(!H()){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=j,i.begin();for(var a=0;a<t;++a)if(L[a]===n){var o=E[a];o.drawPick&&(o.pixelRatio=1,o.drawPick(R))}i.end()}}}()),N.axesPixels=a(N.axes,R,T,k),N.onrender&&N.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,k),N.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;A.enable&&(M=M||A.isTransparent(),A.draw(R)),S.axes=A,x.object&&S.draw(R),r.disable(r.CULL_FACE);for(o=0;o<e;++o){(C=E[o]).axes=A,C.pixelRatio=N.pixelRatio,C.isOpaque&&C.isOpaque()&&C.draw(R),C.isTransparent&&C.isTransparent()&&(M=!0)}if(M){b.shape=F,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(R);for(o=0;o<e;++o){(C=E[o]).isOpaque&&C.isOpaque()&&C.draw(R)}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(R);for(o=0;o<e;++o){var C;(C=E[o]).isTransparent&&C.isTransparent()&&C.drawTransparent(R)}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,c(r),r.disable(r.BLEND)}I=!1;for(o=0;o<e;++o)E[o].dirty=!1}}}return N.enableMouseListeners(),function t(){if(N._stopped||N.contextLost)return;Y(),requestAnimationFrame(t)}(),N.redraw=function(){N._stopped||(I=!0,Y())},N},createCamera:n}},{\"./camera.js\":119,\"./lib/shader\":120,\"a-big-triangle\":8,\"gl-axes3d\":70,\"gl-axes3d/properties\":77,\"gl-fbo\":86,\"gl-mat4/ortho\":101,\"gl-mat4/perspective\":102,\"gl-select-static\":131,\"gl-spikes3d\":141,\"is-mobile\":238,\"mouse-change\":247}],122:[function(t,e,r){var n=t(\"glslify\");r.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}\"]),r.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\"]),r.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\"]),r.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\"])},{glslify:231}],123:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"typedarray-pool\"),o=t(\"./lib/shader\");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}e.exports=function(t,e){var r=t.gl,a=i(r),l=i(r),c=n(r,o.pointVertex,o.pointFragment),u=n(r,o.pickVertex,o.pickFragment),f=new s(t,a,l,c,u);return f.update(e),t.addObject(f),f};var l,c,u=s.prototype;u.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},u.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r(\"sizeMin\",.5),this.sizeMax=r(\"sizeMax\",20),this.color=r(\"color\",[1,0,0,1]).slice(),this.areaRatio=r(\"areaRatio\",1),this.borderColor=r(\"borderColor\",[0,0,0,1]).slice(),this.blend=r(\"blend\",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),c=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e<n;e++)c[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(c),i||a.free(l),o||a.free(c),this.pointCount=n,this.pickOffset=0},u.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],c=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,i=this.plot.dataBox;if(0===this.pointCount)return t;var a=i[2]-i[0],o=i[3]-i[1],s=function(t,e){var r,n=0,i=t.length>>>1;for(r=0;r<i;r++){var a=t[2*r],o=t[2*r+1];a>=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),u=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=u<5,r.uniforms.pointSize=u,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(c[0]=255&t,c[1]=t>>8&255,c[2]=t>>16&255,c[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=c,this.pickOffset=t);var 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}),u.draw=u.unifiedDraw,u.drawPick=u.unifiedDraw,u.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},{\"./lib/shader\":122,\"gl-buffer\":78,\"gl-shader\":132,\"typedarray-pool\":308}],124:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c=e[0],u=e[1],f=e[2],h=e[3],p=r[0],d=r[1],m=r[2],g=r[3];(a=c*p+u*d+f*m+h*g)<0&&(a=-a,p=-p,d=-d,m=-m,g=-g);1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n);return t[0]=s*c+l*p,t[1]=s*u+l*d,t[2]=s*f+l*m,t[3]=s*h+l*g,t}},{}],125:[function(t,e,r){\"use strict\";e.exports=function(t){return t||0===t?t.toString():\"\"}},{}],126:[function(t,e,r){\"use strict\";var n=t(\"vectorize-text\");e.exports=function(t,e,r){var a=i[e];a||(a=i[e]={});if(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,c,u=n(t,o);if(r&&1!==r){for(l=0;l<s.positions.length;++l)for(c=0;c<s.positions[l].length;++c)s.positions[l][c]/=r;for(l=0;l<u.positions.length;++l)for(c=0;c<u.positions[l].length;++c)u.positions[l][c]/=r}var f=[[1/0,1/0],[-1/0,-1/0]],h=u.positions.length;for(l=0;l<h;++l){var p=u.positions[l];for(c=0;c<2;++c)f[0][c]=Math.min(f[0][c],p[c]),f[1][c]=Math.max(f[1][c],p[c])}return a[t]=[s,u,f]};var i={}},{\"vectorize-text\":311}],127:[function(t,e,r){var n=t(\"gl-shader\"),i=t(\"glslify\"),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = 1.0;\\n    if(distance(highlightId, id) < 0.0001) {\\n      scale = highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1);\\n    vec4 viewPosition = view * worldPosition;\\n    viewPosition = viewPosition / viewPosition.w;\\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = pixelRatio;\\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\\n      scale *= highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1.0);\\n    vec4 viewPosition = view * worldPosition;\\n    vec4 clipPosition = projection * viewPosition;\\n    clipPosition /= clipPosition.w;\\n\\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float lscale = pixelRatio * scale;\\n    if(distance(highlightId, id) < 0.0001) {\\n      lscale *= highlightScale;\\n    }\\n\\n    vec4 clipCenter   = projection * view * model * vec4(position, 1);\\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\n    vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = dataPosition;\\n  }\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (\\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\\n    interpColor.a * opacity == 0.\\n  ) discard;\\n  gl_FragColor = interpColor * opacity;\\n}\\n\"]),c=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\\n\\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\\n}\"]),u=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],f={vertex:a,fragment:l,attributes:u},h={vertex:o,fragment:l,attributes:u},p={vertex:s,fragment:l,attributes:u},d={vertex:a,fragment:c,attributes:u},m={vertex:o,fragment:c,attributes:u},g={vertex:s,fragment:c,attributes:u};function v(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}r.createPerspective=function(t){return v(t,f)},r.createOrtho=function(t){return v(t,h)},r.createProject=function(t){return v(t,p)},r.createPickPerspective=function(t){return v(t,d)},r.createPickOrtho=function(t){return v(t,m)},r.createPickProject=function(t){return v(t,g)}},{\"gl-shader\":132,glslify:231}],128:[function(t,e,r){\"use strict\";var n=t(\"is-string-blank\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"typedarray-pool\"),s=t(\"gl-mat4/multiply\"),l=t(\"./lib/shaders\"),c=t(\"./lib/glyphs\"),u=t(\"./lib/get-simple-string\"),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 m(t){return!0===t||t>1?1:t}function g(t,e,r,n,i,a,o,s,l,c,u,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=c,this.pickOrthoShader=u,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}e.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),c=l.createPickOrtho(e),u=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),m=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}]),v=new g(e,r,n,o,f,h,p,d,m,s,c,u);return v.update(t),v};var v=g.prototype;v.pickSlots=1,v.setPickBase=function(t){this.pickId=t},v.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},v.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 y=[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}function L(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,c=r.model||f,u=r.view||f,h=r.projection||f,d=e.axesBounds,m=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],y[0]=2/o.drawingBufferWidth,y[1]=2/o.drawingBufferHeight,t.bind(),l.view=u,l.projection=h,l.screenSize=y,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=m,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 v=T,L=0;L<16;++L)v[L]=0;for(L=0;L<4;++L)v[5*L]=1;v[5*g]=0,i[g]<0?v[12+g]=d[0][g]:v[12+g]=d[1][g],s(v,c,v),l.model=v;var C=(g+1)%3,P=(g+2)%3,I=M(x),O=M(b);I[C]=1,O[P]=1;var z=p(0,0,0,S(_,I)),D=p(0,0,0,S(w,O));if(Math.abs(z[1])>Math.abs(D[1])){var R=z;z=D,D=R,R=I,I=O,O=R;var F=C;C=P,P=F}z[0]<0&&(I[C]=-1),D[1]>0&&(O[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(c[4*C+L],2),N+=Math.pow(c[4*P+L],2);I[C]/=Math.sqrt(B),O[P]/=Math.sqrt(N),l.axes[0]=I,l.axes[1]=O,l.fragClipBounds[0]=E(k,m[0],g,-1e8),l.fragClipBounds[1]=E(k,m[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()}}var C=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function P(t,e,r,n,i,a,o){var s=r.gl;if((a===r.projectHasAlpha||o)&&L(e,r,n,i),a===r.hasAlpha||o){t.bind();var l=t.uniforms;l.model=n.model||f,l.view=n.view||f,l.projection=n.projection||f,y[0]=2/s.drawingBufferWidth,y[1]=2/s.drawingBufferHeight,l.screenSize=y,l.highlightId=r.highlightId,l.highlightScale=r.highlightScale,l.fragClipBounds=C,l.clipBounds=r.axes.bounds,l.opacity=r.opacity,l.pickGroup=r.pickId/255,l.pixelRatio=i,r.vao.bind(),r.vao.draw(s.TRIANGLES,r.vertexCount),r.lineWidth>0&&(s.lineWidth(r.lineWidth*i),r.vao.draw(s.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function I(t,e,r,i){var a;a=Array.isArray(t)?e<t.length?t[e]:void 0:t,a=u(a);var o=!0;n(a)&&(a=\"\\u25bc\",o=!1);var s=c(a,r,i);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}v.draw=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},v.drawTransparent=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},v.drawPick=function(t){P(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},v.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},v.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]},v.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){if(Array.isArray(t.projectOpacity))this.projectOpacity=t.projectOpacity.slice();else{r=+t.projectOpacity;this.projectOpacity=[r,r,r]}for(var n=0;n<3;++n)this.projectOpacity[n]=m(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=m(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l=t.font||\"normal\",c=t.alignment||[0,0];if(2===c.length)i=c[0],a=c[1];else{i=[],a=[];for(n=0;n<c.length;++n)i[n]=c[n][0],a[n]=c[n][1]}var u=[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,v=t.lineColor,y=-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=I(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),P=o.mallocUint32(S);if(S>0){var O=0,z=x,D=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(v)&&Array.isArray(v[0]);t:for(n=0;n<_;++n){y+=1;for(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]),u[T]=Math.min(u[T],w[T])}k=(N=I(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)D[T]=U[T];D[3]=1}else if(4===U.length){for(T=0;T<4;++T)D[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else D[0]=D[1]=D[2]=0,D[3]=1;else D=[1,1,1,0];if(j)if(Array.isArray(v)){var U;if(3===(U=B?n<v.length?v[n]:[0,0,0,0]:v).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]),u[T]=Math.min(u[T],w[T]);var Y=i,W=a;Y=0;Array.isArray(i)?Y=n<i.length?i[n]:0:i&&(Y=i);W=0;Array.isArray(a)?W=n<a.length?a[n]:0:a&&(W=a);var X=[Y*=Y>0?1-M[0][0]:Y<0?1+M[1][0]:1,W*=W>0?1-M[0][1]:W<0?1+M[1][1]:1],Z=k.cells||[],J=k.positions||[];for(T=0;T<Z.length;++T)for(var K=Z[T],Q=0;Q<3;++Q){for(var $=0;$<3;++$)E[3*O+$]=w[$];for($=0;$<4;++$)L[4*O+$]=D[$];P[O]=y;var tt=J[K[Q]];C[2*O]=V*(q*tt[0]-G*tt[1]+X[0]),C[2*O+1]=V*(G*tt[0]+q*tt[1]+X[1]),O+=1}for(Z=A.edges,J=A.positions,T=0;T<Z.length;++T)for(K=Z[T],Q=0;Q<2;++Q){for($=0;$<3;++$)E[3*z+$]=w[$];for($=0;$<4;++$)L[4*z+$]=R[$];P[z]=y;tt=J[K[Q]];C[2*z]=V*(q*tt[0]-G*tt[1]+X[0]),C[2*z+1]=V*(G*tt[0]+q*tt[1]+X[1]),z+=1}}}this.bounds=[u,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(P),o.free(E),o.free(L),o.free(C),o.free(P)},v.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()}},{\"./lib/get-simple-string\":125,\"./lib/glyphs\":126,\"./lib/shaders\":127,\"gl-buffer\":78,\"gl-mat4/multiply\":100,\"gl-vao\":150,\"is-string-blank\":239,\"typedarray-pool\":308}],129:[function(t,e,r){\"use strict\";var n=t(\"glslify\");r.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\"]),r.boxFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  gl_FragColor = color;\\n}\\n\"])},{glslify:231}],130:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"./lib/shaders\");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}e.exports=function(t,e){var r=t.gl,s=i(r,[0,0,0,1,1,0,1,1]),l=n(r,a.boxVertex,a.boxFragment),c=new o(t,s,l);return c.update(e),t.addOverlay(c),c};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,c=t.viewBox,u=t.pixelRatio,f=(e[0]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],h=(e[1]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1],p=(e[2]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],d=(e[3]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1];if(f=Math.max(f,c[0]),h=Math.max(h,c[1]),p=Math.min(p,c[2]),d=Math.min(d,c[3]),!(p<f||d<h)){o.bind();var m=s[2]-s[0],g=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,m,h,i),o.drawBox(0,h,f,d,i),o.drawBox(0,d,m,g,i),o.drawBox(p,h,m,d,i)),this.innerFill&&o.drawBox(f,h,p,d,n),r>0){var v=r*u;o.drawBox(f-v,h-v,p+v,h+v,a),o.drawBox(f-v,d-v,p+v,d+v,a),o.drawBox(f-v,h-v,f+v,d+v,a),o.drawBox(p-v,h-v,p+v,d+v,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)}},{\"./lib/shaders\":129,\"gl-buffer\":78,\"gl-shader\":132}],131:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=e[0],a=e[1],o=n(t,r,a,{}),s=i.mallocUint8(r*a*4);return new l(t,o,s)};var n=t(\"gl-fbo\"),i=t(\"typedarray-pool\"),a=t(\"ndarray\"),o=t(\"bit-twiddle\").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 n=this;this._readCallback=function(){n.gl&&(e.bind(),t.readPixels(0,0,e.shape[0],e.shape[1],t.RGBA,t.UNSIGNED_BYTE,n.buffer),n._readTimeout=null)}}var c=l.prototype;Object.defineProperty(c,\"shape\",{get:function(){return this.gl?this.fbo.shape.slice():[0,0]},set:function(t){if(this.gl){this.fbo.shape=t;var e=this.fbo.shape[0],r=this.fbo.shape[1];if(r*e*4>this.buffer.length){i.free(this.buffer);for(var n=this.buffer=i.mallocUint8(o(r*e*4)),a=0;a<r*e*4;++a)n[a]=255}return t}}}),c.begin=function(){var t=this.gl;this.shape;t&&(this.fbo.bind(),t.clearColor(1,1,1,1),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT))},c.end=function(){var t=this.gl;t&&(t.bindFramebuffer(t.FRAMEBUFFER,null),this._readTimeout||clearTimeout(this._readTimeout),this._readTimeout=setTimeout(this._readCallback,1))},c.query=function(t,e,r){if(!this.gl)return null;var n=this.fbo.shape.slice();t|=0,e|=0,\"number\"!=typeof r&&(r=1);var i=0|Math.min(Math.max(t-r,0),n[0]),o=0|Math.min(Math.max(t+r,0),n[0]),l=0|Math.min(Math.max(e-r,0),n[1]),c=0|Math.min(Math.max(e+r,0),n[1]);if(o<=i||c<=l)return null;var u=[o-i,c-l],f=a(this.buffer,[u[0],u[1],4],[4,4*n[0],1],4*(i+n[0]*l)),h=function(t,e,r){for(var n=1e8,i=-1,a=-1,o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var c=0;c<s;c++){var u=t.get(l,c,0),f=t.get(l,c,1),h=t.get(l,c,2),p=t.get(l,c,3);if(u<255||f<255||h<255||p<255){var d=e-l,m=r-c,g=d*d+m*m;g<n&&(n=g,i=l,a=c)}}return[i,a,n]}(f.hi(u[0],u[1],1),r,r),p=h[0],d=h[1];return p<0||Math.pow(this.radius,2)<h[2]?null:new s(p+i|0,d+l|0,f.get(p,d,0),[f.get(p,d,1),f.get(p,d,2),f.get(p,d,3)],Math.sqrt(h[2]))},c.dispose=function(){this.gl&&(this.fbo.dispose(),i.free(this.buffer),this.gl=null,this._readTimeout&&clearTimeout(this._readTimeout))}},{\"bit-twiddle\":32,\"gl-fbo\":86,ndarray:259,\"typedarray-pool\":308}],132:[function(t,e,r){\"use strict\";var n=t(\"./lib/create-uniforms\"),i=t(\"./lib/create-attributes\"),a=t(\"./lib/reflect\"),o=t(\"./lib/shader-cache\"),s=t(\"./lib/runtime-reflect\"),l=t(\"./lib/GLError\");function c(t){this.gl=t,this.gl.lastAttribCount=0,this._vref=this._fref=this._relink=this.vertShader=this.fragShader=this.program=this.attributes=this.uniforms=this.types=null}var u=c.prototype;function f(t,e){return t.name<e.name?-1:1}u.bind=function(){var t;this.program||this._relink();var e=this.gl.getProgramParameter(this.program,this.gl.ACTIVE_ATTRIBUTES),r=this.gl.lastAttribCount;if(e>r)for(t=r;t<e;t++)this.gl.enableVertexAttribArray(t);else if(r>e)for(t=e;t<r;t++)this.gl.disableVertexAttribArray(t);this.gl.lastAttribCount=e,this.gl.useProgram(this.program)},u.dispose=function(){for(var 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w=c[y];if(w.type.indexOf(\"mat\")>=0){for(var T=0|w.type.charAt(w.type.length-1),k=new Array(T),A=0;A<T;++A)k[A]=_.length,b.push(w.name+\"[\"+A+\"]\"),\"number\"==typeof w.location?_.push(w.location+A):Array.isArray(w.location)&&w.location.length===T&&\"number\"==typeof w.location[A]?_.push(0|w.location[A]):_.push(-1);x.push({name:w.name,type:w.type,locations:k})}else x.push({name:w.name,type:w.type,locations:[_.length]}),b.push(w.name),\"number\"==typeof w.location?_.push(0|w.location):_.push(-1)}var M=0;for(y=0;y<_.length;++y)if(_[y]<0){for(;_.indexOf(M)>=0;)M+=1;_[y]=M}var S=new Array(r.length);function E(){h.program=o.program(p,h._vref,h._fref,b,_);for(var t=0;t<r.length;++t)S[t]=p.getUniformLocation(h.program,r[t].name)}E(),h._relink=E,h.types={uniforms:a(r),attributes:a(c)},h.attributes=i(p,h,x,_),Object.defineProperty(h,\"uniforms\",n(p,h,r,S))},e.exports=function(t,e,r,n,i){var a=new c(t);return 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h=c,p=u,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]);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;for(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()}},{\"./shaders/index\":140,\"gl-buffer\":78,\"gl-vao\":150}],142:[function(t,e,r){var n=t(\"glslify\"),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}\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]}},{glslify:231}],143:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\"),i=t(\"gl-vec4\"),a=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],o=function(t,e,r,a){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,c=0;c<l.length;c++)o=Math.max(o,n.length(l[c]));var u=t.map((function(t){return function(t,e,r,a){for(var o=t.points,s=t.velocities,l=t.divergences,c=[],u=[],f=[],h=[],p=[],d=[],m=0,g=0,v=i.create(),y=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,v=i.create(),n.copy(v,_),v[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;c.push(h[T],p[T],p[k],p[k],h[k],h[T]),f.push(y,v,v,v,y,y),d.push(m,g,g,g,m,m);var A=c.length;u.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=h;h=p,p=M;var S=y;y=v,v=S;var E=m;m=g,g=E}return{positions:c,cells:u,vectors:f,vertexIntensity:d}}(t,r,a,o)})),f=[],h=[],p=[],d=[];for(s=0;s<u.length;s++){var m=u[s],g=f.length;f=f.concat(m.positions),p=p.concat(m.vectors),d=d.concat(m.vertexIntensity);for(c=0;c<m.cells.length;c++){var v=m.cells[c],y=[];h.push(y);for(var x=0;x<v.length;x++)y.push(v[x]+g)}}return{positions:f,cells:h,vectors:p,vertexIntensity:d,colormap:e}},s=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},l=function(t,e,r){return t<e?e:t>r?r:t},c=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};e.exports=function(t,e){var r=t.startingPositions,i=t.maxLength||1e3,u=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,o=t[0],c=t[1],u=t[2],f=a[0].length,h=a[1].length,p=a[2].length,d=s(a[0],o),m=s(a[1],c),g=s(a[2],u),v=d+1,y=m+1,x=g+1;if(d=l(d,0,f-1),v=l(v,0,f-1),m=l(m,0,h-1),y=l(y,0,h-1),g=l(g,0,p-1),x=l(x,0,p-1),d<0||m<0||g<0||v>f-1||y>h-1||x>p-1)return n.create();var b,_,w,T,k,A,M=a[0][d],S=a[0][v],E=a[1][m],L=a[1][y],C=a[2][g],P=(o-M)/(S-M),I=(c-E)/(L-E),O=(u-C)/(a[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(I)||(I=.5),isFinite(O)||(O=.5),r.reversedX&&(d=f-1-d,v=f-1-v),r.reversedY&&(m=h-1-m,y=h-1-y),r.reversedZ&&(g=p-1-g,x=p-1-x),r.filled){case 5:k=g,A=x,w=m*p,T=y*p,b=d*p*h,_=v*p*h;break;case 4:k=g,A=x,b=d*p,_=v*p,w=m*p*f,T=y*p*f;break;case 3:w=m,T=y,k=g*h,A=x*h,b=d*h*p,_=v*h*p;break;case 2:w=m,T=y,b=d*h,_=v*h,k=g*h*f,A=x*h*f;break;case 1:b=d,_=v,k=g*f,A=x*f,w=m*f*p,T=y*f*p;break;default:b=d,_=v,w=m*f,T=y*f,k=g*f*h,A=x*f*h}var z=i[b+w+k],D=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,z,B,P),n.lerp(H,D,N,P),n.lerp(q,R,j,P),n.lerp(G,F,U,P);var Y=n.create(),W=n.create();n.lerp(Y,V,q,I),n.lerp(W,H,G,I);var X=n.create();return n.lerp(X,Y,W,O),X}(e,t,p)},m=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},g=[],v=e[0][0],y=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<v||e>b||r<y||r>_||n<x||n>w)},k=10*n.distance(e[0],e[1])/i,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,l=0;l<s;l++){var u=t[l],f=u[0],h=u[1],p=u[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=c(e),m=c(r),g=c(n),v=Math.min(d,m,g);return isFinite(v)?v:1}(r));for(var L=0;L<E;L++){var C=n.create();n.copy(C,r[L]);var P=[C],I=[],O=d(C),z=C;I.push(O);var D=[],R=m(C,O),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F),g.push({points:P,velocities:I,divergences:D});for(var B=0;B<100*i&&P.length<i&&T(C);){B++;var N=n.clone(O),j=n.squaredLength(N);if(0===j)break;if(j>A&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,C),O=d(N),n.squaredDistance(z,N)-A>-1e-4*A){P.push(N),z=N,I.push(O);R=m(N,O),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F)}C=N}}var U=o(g,t.colormap,S,M);return f?U.tubeScale=f:(0===S&&(S=1),U.tubeScale=.5*u*M/S),U};var u=t(\"./lib/shaders\"),f=t(\"gl-cone3d\").createMesh;e.exports.createTubeMesh=function(t,e){return f(t,e,{shaders:u,traceType:\"streamtube\"})}},{\"./lib/shaders\":142,\"gl-cone3d\":79,\"gl-vec3\":169,\"gl-vec4\":205}],144:[function(t,e,r){var n=t(\"gl-shader\"),i=t(\"glslify\"),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 \\u2014 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\"]);r.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},r.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},r.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},r.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}},{\"gl-shader\":132,glslify:231}],145:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=y(e),n=b(e),s=x(e),l=_(e),c=i(e),u=a(e,[{buffer:c,size:4,stride:40,offset:0},{buffer:c,size:3,stride:40,offset:16},{buffer:c,size:3,stride:40,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}]),m=o(e,1,256,e.RGBA,e.UNSIGNED_BYTE);m.minFilter=e.LINEAR,m.magFilter=e.LINEAR;var g=new M(e,[0,0],[[0,0,0],[0,0,0]],r,n,c,u,m,s,l,f,h,p,d,[0,0,0]),v={levels:[[],[],[]]};for(var w in t)v[w]=t[w];return v.colormap=v.colormap||\"jet\",g.update(v),g};var n=t(\"bit-twiddle\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"typedarray-pool\"),l=t(\"colormap\"),c=t(\"ndarray-ops\"),u=t(\"ndarray-pack\"),f=t(\"ndarray\"),h=t(\"surface-nets\"),p=t(\"gl-mat4/multiply\"),d=t(\"gl-mat4/invert\"),m=t(\"binary-search-bounds\"),g=t(\"ndarray-gradient\"),v=t(\"./lib/shaders\"),y=v.createShader,x=v.createContourShader,b=v.createPickShader,_=v.createPickContourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],T=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],k=[[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 A(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=k[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();function M(t,e,r,n,i,a,o,l,c,u,h,p,d,m,g){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=g,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=c,this._contourPickShader=u,this._contourBuffer=h,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new A([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=m,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[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 S=M.prototype;S.genColormap=function(t,e){var r=!1,n=u([l({colormap:t,nshades:256,format:\"rgba\"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return c.divseq(n,255),this.hasAlphaScale=r,n},S.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},S.isOpaque=function(){return!this.isTransparent()},S.pickSlots=1,S.setPickBase=function(t){this.pickId=t};var E=[0,0,0],L={showSurface:!1,showContour:!1,projections:[w.slice(),w.slice(),w.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function C(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||E,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=L.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var c=L.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)c[i][n]=t.clipBounds[i][n];c[0][r]=-1e8,c[1][r]=1e8}return L.showSurface=o,L.showContour=s,L}var P={model:w,view:w,projection:w,inverseModel:w.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},I=w.slice(),O=[1,0,0,0,1,0,0,0,1];function z(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=P;n.model=t.model||w,n.view=t.view||w,n.projection=t.projection||w,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=O,n.vertexColor=this.vertexColor;var s=I;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var c=s[12+i];for(o=0;o<3;++o)c+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=c/l}var u=C(n,this);if(u.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=u.projections[i],this._shader.uniforms.clipBounds=u.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(u.showContour){var 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=k[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=u.projections[i],f.uniforms.clipBounds=u.clipBounds[i],o=0;o<3;++o)if(this.contourProject[i][o]){f.uniforms.permutation=k[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var m=0;m<this.contourLevels[o].length;++m)m===this.highlightLevel[o]?(f.uniforms.contourColor=this.highlightColor[o],f.uniforms.contourTint=this.highlightTint[o]):0!==m&&m-1!==this.highlightLevel[o]||(f.uniforms.contourColor=this.contourColor[o],f.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][m]&&(f.uniforms.height=this.contourLevels[o][m],h.draw(r.LINES,this._contourCounts[o][m],this._contourOffsets[o][m]))}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=k[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=u.projections[o],f.uniforms.clipBounds=u.clipBounds[o],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));h.unbind()}}S.draw=function(t){return z.call(this,t,!1)},S.drawTransparent=function(t){return z.call(this,t,!0)};var D={model:w,view:w,projection:w,inverseModel:w,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 R(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function F(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 B(t){if(Array.isArray(t)){if(Array.isArray(t))return[F(t[0]),F(t[1]),F(t[2])];var e=F(t);return[e.slice(),e.slice(),e.slice()]}}S.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=D;r.model=t.model||w,r.view=t.view||w,r.projection=t.projection||w,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=O;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=C(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=k[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=k[a],e.lineWidth(this.contourWidth[a]*this.pixelRatio);for(var c=0;c<this.contourLevels[a].length;++c)this._contourCounts[a][c]&&(s.uniforms.height=this.contourLevels[a][c],l.draw(e.LINES,this._contourCounts[a][c],this._contourOffsets[a][c]))}l.unbind()}},S.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var c=r.position;c[0]=c[1]=c[2]=0;for(var u=0;u<2;++u)for(var f=u?a:1-a,h=0;h<2;++h)for(var p=i+u,d=s+h,g=f*(h?l:1-l),v=0;v<3;++v)c[v]+=this._field[v].get(p,d)*g;for(var y=this._pickResult.level,x=0;x<3;++x)if(y[x]=m.le(this.contourLevels[x],c[x]),y[x]<0)this.contourLevels[x].length>0&&(y[x]=0);else if(y[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][y[x]],_=this.contourLevels[x][y[x]+1];Math.abs(b-c[x])>Math.abs(_-c[x])&&(y[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],v=0;v<3;++v)r.dataCoordinate[v]=this._field[v].get(r.index[0],r.index[1]);return r},S.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();c.assign(t.lo(1,1).hi(r[0],r[1]),e),c.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),c.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),c.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),c.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},S.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=R(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=R(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=R(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=B(t.contourColor)),\"contourProject\"in t&&(this.contourProject=R(t.contourProject,(function(t){return R(t,Boolean)}))),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=B(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=R(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=R(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 c=l[o];for(v=0;v<2;++v)if(c.shape[v]!==a[v])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[o],c)}}else if(t.ticks){var u=t.ticks;if(!Array.isArray(u)||2!==u.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var p=u[o];if((Array.isArray(p)||p.length)&&(p=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 m=[0,0];m[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],m,0)}this._field[0].set(0,0,0);for(var v=0;v<a[0];++v)this._field[0].set(v+1,0,v);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),v=0;v<a[1];++v)this._field[1].set(0,v+1,v);this._field[1].set(0,a[1]+1,a[1]-1)}var y=this._field,x=f(s.mallocFloat(3*y[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)g(x.pick(o),y[o],\"mirror\");var b=f(s.mallocFloat(3*y[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(v=0;v<a[1]+2;++v){var _=x.get(0,o,v,0),w=x.get(0,o,v,1),k=x.get(1,o,v,0),A=x.get(1,o,v,1),M=x.get(2,o,v,0),S=x.get(2,o,v,1),E=k*S-A*M,L=M*w-S*_,C=_*A-w*k,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,v,0,E*P),b.set(o,v,1,L*P),b.set(o,v,2,C*P)}s.free(x.data);var I=[1/0,1/0,1/0],O=[-1/0,-1/0,-1/0],z=1/0,D=-1/0,F=(a[0]-1)*(a[1]-1)*6,N=s.mallocFloat(n.nextPow2(10*F)),j=0,U=0;for(o=0;o<a[0]-1;++o)t:for(v=0;v<a[1]-1;++v){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+v+H);if(isNaN(G)||!isFinite(G))continue t}for(q=0;q<6;++q){var Y=o+T[q][0],W=v+T[q][1],X=this._field[0].get(Y+1,W+1),Z=this._field[1].get(Y+1,W+1);G=this._field[2].get(Y+1,W+1),E=b.get(Y+1,W+1,0),L=b.get(Y+1,W+1,1),C=b.get(Y+1,W+1,2),t.intensity&&(J=t.intensity.get(Y,W));var J=t.intensity?t.intensity.get(Y,W):G+this.objectOffset[2];N[j++]=Y,N[j++]=W,N[j++]=X,N[j++]=Z,N[j++]=G,N[j++]=0,N[j++]=J,N[j++]=E,N[j++]=L,N[j++]=C,I[0]=Math.min(I[0],X+this.objectOffset[0]),I[1]=Math.min(I[1],Z+this.objectOffset[1]),I[2]=Math.min(I[2],G+this.objectOffset[2]),z=Math.min(z,J),O[0]=Math.max(O[0],X+this.objectOffset[0]),O[1]=Math.max(O[1],Z+this.objectOffset[1]),O[2]=Math.max(O[2],G+this.objectOffset[2]),D=Math.max(D,J),U+=1}}for(t.intensityBounds&&(z=+t.intensityBounds[0],D=+t.intensityBounds[1]),o=6;o<j;o+=10)N[o]=(N[o]-z)/(D-z);this._vertexCount=U,this._coordinateBuffer.update(N.subarray(0,j)),s.freeFloat(N),s.free(b.data),this.bounds=[I,O],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===z&&this.intensityBounds[1]===D||(r=!0),this.intensityBounds=[z,D]}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(v=0;v<K[o].length;++v)K[o][v]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(K[o].length!==this.contourLevels[o].length){r=!0;break}for(v=0;v<K[o].length;++v)if(K[o][v]!==this.contourLevels[o][v]){r=!0;break t}}this.contourLevels=K}if(r){y=this._field,a=this.shape;for(var Q=[],$=0;$<3;++$){var tt=this.contourLevels[$],et=[],rt=[],nt=[0,0,0];for(o=0;o<tt.length;++o){var it=h(this._field[$],tt[o]);et.push(Q.length/5|0),U=0;t:for(v=0;v<it.cells.length;++v){var at=it.cells[v];for(q=0;q<2;++q){var ot=it.positions[at[q]],st=ot[0],lt=0|Math.floor(st),ct=st-lt,ut=ot[1],ft=0|Math.floor(ut),ht=ut-ft,pt=!1;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var mt=($+dt+1)%3;for(V=0;V<2;++V){var gt=V?ct:1-ct;for(Y=0|Math.min(Math.max(lt+V,0),a[0]),H=0;H<2;++H){var vt=H?ht:1-ht;if(W=0|Math.min(Math.max(ft+H,0),a[1]),G=dt<2?this._field[mt].get(Y,W):(this.intensity.get(Y,W)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(G)||isNaN(G)){pt=!0;break e}var yt=gt*vt;nt[dt]+=yt*G}}}if(pt){if(q>0){for(var xt=0;xt<5;++xt)Q.pop();U-=1}continue t}Q.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[$]=et,this._contourCounts[$]=rt}var bt=s.mallocFloat(Q.length);for(o=0;o<Q.length;++o)bt[o]=Q[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},S.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)},S.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,c=(o+2)%3,u=this._field[o],f=this._field[l],p=this._field[c],d=h(u,r[o]),m=d.cells,g=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<m.length;++e)for(var v=m[e],y=0;y<2;++y){var x=g[v[y]],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,I=T*L,O=T*E,z=C*f.get(_,M)+P*f.get(_,S)+I*f.get(w,M)+O*f.get(w,S),D=C*p.get(_,M)+P*p.get(_,S)+I*p.get(w,M)+O*p.get(w,S);if(isNaN(z)||isNaN(D)){y&&(n-=1);break}a[2*n+0]=z,a[2*n+1]=D,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),s.freeFloat(a)}}},{\"./lib/shaders\":144,\"binary-search-bounds\":31,\"bit-twiddle\":32,colormap:53,\"gl-buffer\":78,\"gl-mat4/invert\":98,\"gl-mat4/multiply\":100,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259,\"ndarray-gradient\":252,\"ndarray-ops\":254,\"ndarray-pack\":255,\"surface-nets\":302,\"typedarray-pool\":308}],146:[function(t,e,r){\"use strict\";var n=t(\"ndarray\"),i=t(\"ndarray-ops\"),a=t(\"typedarray-pool\");e.exports=function(t){if(arguments.length<=1)throw new Error(\"gl-texture2d: Missing arguments for texture2d constructor\");o||c(t);if(\"number\"==typeof arguments[1])return v(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return v(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 y(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 x(t,e)}throw new Error(\"gl-texture2d: Invalid arguments for texture2d constructor\")};var o=null,s=null,l=null;function c(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]}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 f=function(t,e){i.muls(t,e,255)};function h(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture size\");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function p(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 d=p.prototype;function m(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 g(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 v(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=g(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new p(t,o,e,r,n,i)}function y(t,e,r,n,i,a){var o=g(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new p(t,o,r,n,i,a)}function x(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=m(o,e.stride.slice()),c=0;\"float32\"===r?c=t.FLOAT:\"float64\"===r?(c=t.FLOAT,l=!1,r=\"float32\"):\"uint8\"===r?c=t.UNSIGNED_BYTE:(c=t.UNSIGNED_BYTE,l=!1,r=\"uint8\");var u,h,d=0;if(2===o.length)d=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])d=t.ALPHA;else if(2===o[2])d=t.LUMINANCE_ALPHA;else if(3===o[2])d=t.RGB;else{if(4!==o[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");d=t.RGBA}}c!==t.FLOAT||t.getExtension(\"OES_texture_float\")||(c=t.UNSIGNED_BYTE,l=!1);var v=e.size;if(l)u=0===e.offset&&e.data.length===v?e.data:e.data.subarray(e.offset,e.offset+v);else{var y=[o[2],o[2]*o[0],1];h=a.malloc(v,r);var x=n(h,o,y,0);\"float32\"!==r&&\"float64\"!==r||c!==t.UNSIGNED_BYTE?i.assign(x,e):f(x,e),u=h.subarray(0,v)}var b=g(t);return t.texImage2D(t.TEXTURE_2D,0,d,o[0],o[1],0,d,c,u),l||a.free(h),new p(t,b,o[0],o[1],d,c)}Object.defineProperties(d,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension(\"EXT_texture_filter_anisotropic\");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error(\"gl-texture2d: Must specify wrap mode for rows and columns\");for(var 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       "/*!\n",
       " * Determine if an object is a Buffer\n",
       " *\n",
       " * @author   Feross Aboukhadijeh <https://feross.org>\n",
       " * @license  MIT\n",
       " */\n",
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i=this.computedMatrix,a=i[0],o=i[4],s=i[8],u=i[1],f=i[5],h=i[9],p=i[2],d=i[6],m=i[10],g=e*a+r*u,v=e*o+r*f,y=e*s+r*h,x=-(d*y-m*v),b=-(m*g-p*y),_=-(p*v-d*g),w=Math.sqrt(Math.max(0,1-Math.pow(x,2)-Math.pow(b,2)-Math.pow(_,2))),T=c(x,b,_,w);T>1e-6?(x/=T,b/=T,_/=T,w/=T):(x=b=_=0,w=1);var k=this.computedRotation,A=k[0],M=k[1],S=k[2],E=k[3],L=A*w+E*x+M*_-S*b,C=M*w+E*b+S*x-A*_,P=S*w+E*_+A*b-M*x,I=E*w-A*x-M*b-S*_;if(n){x=p,b=d,_=m;var O=Math.sin(n)/l(x,b,_);x*=O,b*=O,_*=O,I=I*(w=Math.cos(e))-(L=L*w+I*x+C*_-P*b)*x-(C=C*w+I*b+P*x-L*_)*b-(P=P*w+I*_+L*b-C*x)*_}var z=c(L,C,P,I);z>1e-6?(L/=z,C/=z,P/=z,I/=z):(L=C=P=0,I=1),this.rotation.set(t,L,C,P,I)},h.lookAt=function(t,e,r,n){this.recalcMatrix(t),r=r||this.computedCenter,e=e||this.computedEye,n=n||this.computedUp;var a=this.computedMatrix;i(a,e,r,n);var o=this.computedRotation;s(o,a[0],a[1],a[2],a[4],a[5],a[6],a[8],a[9],a[10]),u(o,o),this.rotation.set(t,o[0],o[1],o[2],o[3]);for(var l=0,c=0;c<3;++c)l+=Math.pow(r[c]-e[c],2);this.radius.set(t,.5*Math.log(Math.max(l,1e-6))),this.center.set(t,r[0],r[1],r[2])},h.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},h.setMatrix=function(t,e){var r=this.computedRotation;s(r,e[0],e[1],e[2],e[4],e[5],e[6],e[8],e[9],e[10]),u(r,r),this.rotation.set(t,r[0],r[1],r[2],r[3]);var n=this.computedMatrix;o(n,e);var i=n[15];if(Math.abs(i)>1e-6){var a=n[12]/i,l=n[13]/i,c=n[14]/i;this.recalcMatrix(t);var f=Math.exp(this.computedRadius[0]);this.center.set(t,a-n[2]*f,l-n[6]*f,c-n[10]*f),this.radius.idle(t)}else this.center.idle(t),this.radius.idle(t)},h.setDistance=function(t,e){e>0&&this.radius.set(t,Math.log(e))},h.setDistanceLimits=function(t,e){t=t>0?Math.log(t):-1/0,e=e>0?Math.log(e):1/0,e=Math.max(e,t),this.radius.bounds[0][0]=t,this.radius.bounds[1][0]=e},h.getDistanceLimits=function(t){var e=this.radius.bounds;return t?(t[0]=Math.exp(e[0][0]),t[1]=Math.exp(e[1][0]),t):[Math.exp(e[0][0]),Math.exp(e[1][0])]},h.toJSON=function(){return this.recalcMatrix(this.lastT()),{center:this.computedCenter.slice(),rotation:this.computedRotation.slice(),distance:Math.log(this.computedRadius[0]),zoomMin:this.radius.bounds[0][0],zoomMax:this.radius.bounds[1][0]}},h.fromJSON=function(t){var e=this.lastT(),r=t.center;r&&this.center.set(e,r[0],r[1],r[2]);var n=t.rotation;n&&this.rotation.set(e,n[0],n[1],n[2],n[3]);var i=t.distance;i&&i>0&&this.radius.set(e,Math.log(i)),this.setDistanceLimits(t.zoomMin,t.zoomMax)}},{\"./lib/quatFromFrame\":262,\"filtered-vector\":68,\"gl-mat4/fromQuat\":95,\"gl-mat4/invert\":98,\"gl-mat4/lookAt\":99}],264:[function(t,e,r){\n",
       "/*!\n",
       " * pad-left <https://github.com/jonschlinkert/pad-left>\n",
       " *\n",
       " * Copyright (c) 2014-2015, Jon Schlinkert.\n",
       " * Licensed under the MIT license.\n",
       " */\n",
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e=this.computedUp,r=this.computedRight,n=0,i=0,a=0;a<3;++a)i+=e[a]*r[a],n+=e[a]*e[a];var l=Math.sqrt(n),u=0;for(a=0;a<3;++a)r[a]-=e[a]*i/n,u+=r[a]*r[a],e[a]/=l;var f=Math.sqrt(u);for(a=0;a<3;++a)r[a]/=f;var h=this.computedToward;o(h,e,r),s(h,h);var p=Math.exp(this.computedRadius[0]),d=this.computedAngle[0],m=this.computedAngle[1],g=Math.cos(d),v=Math.sin(d),y=Math.cos(m),x=Math.sin(m),b=this.computedCenter,_=g*y,w=v*y,T=x,k=-g*x,A=-v*x,M=y,S=this.computedEye,E=this.computedMatrix;for(a=0;a<3;++a){var L=_*r[a]+w*h[a]+T*e[a];E[4*a+1]=k*r[a]+A*h[a]+M*e[a],E[4*a+2]=L,E[4*a+3]=0}var C=E[1],P=E[5],I=E[9],O=E[2],z=E[6],D=E[10],R=P*D-I*z,F=I*O-C*D,B=C*z-P*O,N=c(R,F,B);R/=N,F/=N,B/=N,E[0]=R,E[4]=F,E[8]=B;for(a=0;a<3;++a)S[a]=b[a]+E[2+4*a]*p;for(a=0;a<3;++a){u=0;for(var j=0;j<3;++j)u+=E[a+4*j]*S[j];E[12+a]=-u}E[15]=1},p.getMatrix=function(t,e){this.recalcMatrix(t);var r=this.computedMatrix;if(e){for(var n=0;n<16;++n)e[n]=r[n];return e}return r};var d=[0,0,0];p.rotate=function(t,e,r,n){if(this.angle.move(t,e,r),n){this.recalcMatrix(t);var i=this.computedMatrix;d[0]=i[2],d[1]=i[6],d[2]=i[10];for(var o=this.computedUp,s=this.computedRight,l=this.computedToward,c=0;c<3;++c)i[4*c]=o[c],i[4*c+1]=s[c],i[4*c+2]=l[c];a(i,i,n,d);for(c=0;c<3;++c)o[c]=i[4*c],s[c]=i[4*c+1];this.up.set(t,o[0],o[1],o[2]),this.right.set(t,s[0],s[1],s[2])}},p.pan=function(t,e,r,n){e=e||0,r=r||0,n=n||0,this.recalcMatrix(t);var i=this.computedMatrix,a=(Math.exp(this.computedRadius[0]),i[1]),o=i[5],s=i[9],l=c(a,o,s);a/=l,o/=l,s/=l;var u=i[0],f=i[4],h=i[8],p=u*a+f*o+h*s,d=c(u-=a*p,f-=o*p,h-=s*p),m=(u/=d)*e+a*r,g=(f/=d)*e+o*r,v=(h/=d)*e+s*r;this.center.move(t,m,g,v);var y=Math.exp(this.computedRadius[0]);y=Math.max(1e-4,y+n),this.radius.set(t,Math.log(y))},p.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},p.setMatrix=function(t,e,r,n){var a=1;\"number\"==typeof r&&(a=0|r),(a<0||a>3)&&(a=1);var o=(a+2)%3;e||(this.recalcMatrix(t),e=this.computedMatrix);var s=e[a],l=e[a+4],f=e[a+8];if(n){var h=Math.abs(s),p=Math.abs(l),d=Math.abs(f),m=Math.max(h,p,d);h===m?(s=s<0?-1:1,l=f=0):d===m?(f=f<0?-1:1,s=l=0):(l=l<0?-1:1,s=f=0)}else{var g=c(s,l,f);s/=g,l/=g,f/=g}var v,y,x=e[o],b=e[o+4],_=e[o+8],w=x*s+b*l+_*f,T=c(x-=s*w,b-=l*w,_-=f*w),k=l*(_/=T)-f*(b/=T),A=f*(x/=T)-s*_,M=s*b-l*x,S=c(k,A,M);if(k/=S,A/=S,M/=S,this.center.jump(t,q,G,Y),this.radius.idle(t),this.up.jump(t,s,l,f),this.right.jump(t,x,b,_),2===a){var E=e[1],L=e[5],C=e[9],P=E*x+L*b+C*_,I=E*k+L*A+C*M;v=R<0?-Math.PI/2:Math.PI/2,y=Math.atan2(I,P)}else{var O=e[2],z=e[6],D=e[10],R=O*s+z*l+D*f,F=O*x+z*b+D*_,B=O*k+z*A+D*M;v=Math.asin(u(R)),y=Math.atan2(B,F)}this.angle.jump(t,y,v),this.recalcMatrix(t);var N=e[2],j=e[6],U=e[10],V=this.computedMatrix;i(V,e);var H=V[15],q=V[12]/H,G=V[13]/H,Y=V[14]/H,W=Math.exp(this.computedRadius[0]);this.center.jump(t,q-N*W,G-j*W,Y-U*W)},p.lastT=function(){return 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     "metadata": {},
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   ],
   "source": [
    "plot_histograms_in_3d({\n",
    "    \"Original\": compute_histogram(og, BINS),\n",
    "    \"Edited\": compute_histogram(edit, BINS),\n",
    "})"
   ]
  }
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