{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Zonal Statistics - continuous values\n",
    "\n",
    "If you are interested of NDVI mean by polygon for each date of a timeserie for instance."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
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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 Z=t.color.length;q=u.mallocUint8(4*Z);for(var X=0;X<Z;X++)q.set(l(t.color[X]||0,\"uint8\"),4*X)}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,Ze=Math.PI/180,Xe=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)*Xe;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*Ze,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 \"+Zt(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 \"+Zt(se(e))+\" instead.\");if(!Qt(r,[\"string\",\"array\"]))throw new ue(\"Expected second argument to be of type array or string, but found \"+Zt(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 \"+Zt(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 \"+Zt(se(e))+\" instead.\");if(!Qt(r,[\"string\",\"array\"]))throw new ue(\"Expected second argument to be of type array or string, but found \"+Zt(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 Xr(n?\"camera\":\"composite\",t.value,a.labels,o))}Xr.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)},Xr.prototype.evaluate=function(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)},Xr.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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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 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),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);Zi.prototype.bytesPerElement=68,Nn(\"StructArrayLayout8i15ui1ul4f68\",Zi);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.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);Xi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout1f4\",Xi);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];Xa(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 wi(Lt.layout_line[\"line-cap\"]),\"line-join\":new Ti(Lt.layout_line[\"line-join\"]),\"line-miter-limit\":new wi(Lt.layout_line[\"line-miter-limit\"]),\"line-round-limit\":new wi(Lt.layout_line[\"line-round-limit\"]),\"line-sort-key\":new Ti(Lt.layout_line[\"line-sort-key\"])}),Ys={paint:new Si({\"line-opacity\":new Ti(Lt.paint_line[\"line-opacity\"]),\"line-color\":new Ti(Lt.paint_line[\"line-color\"]),\"line-translate\":new wi(Lt.paint_line[\"line-translate\"]),\"line-translate-anchor\":new wi(Lt.paint_line[\"line-translate-anchor\"]),\"line-width\":new Ti(Lt.paint_line[\"line-width\"]),\"line-gap-width\":new Ti(Lt.paint_line[\"line-gap-width\"]),\"line-offset\":new Ti(Lt.paint_line[\"line-offset\"]),\"line-blur\":new Ti(Lt.paint_line[\"line-blur\"]),\"line-dasharray\":new Ai(Lt.paint_line[\"line-dasharray\"]),\"line-pattern\":new ki(Lt.paint_line[\"line-pattern\"]),\"line-gradient\":new Mi(Lt.paint_line[\"line-gradient\"])}),layout:Gs},Ws=new(function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(e,r){return r=new pi(Math.floor(r.zoom),{now:r.now,fadeDuration:r.fadeDuration,zoomHistory:r.zoomHistory,transition:r.transition}),t.prototype.possiblyEvaluate.call(this,e,r)},e.prototype.evaluate=function(e,r,n,i){return r=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 Zs=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 t=this._transitionablePaint._values[\"line-gradient\"].value.expression;this.gradient=Co(t,\"lineProgress\"),this.gradientTexture=null},e.prototype.recalculate=function(e,r){t.prototype.recalculate.call(this,e,r),this.paint._values[\"line-floorwidth\"]=Ws.possiblyEvaluate(this._transitioningPaint._values[\"line-width\"].value,e)},e.prototype.createBucket=function(t){return new qs(t)},e.prototype.queryRadius=function(t){var e=t,r=Xs(oo(\"line-width\",this,e),oo(\"line-gap-width\",this,e)),n=oo(\"line-offset\",this,e);return r/2+Math.abs(n)+so(this.paint.get(\"line-translate\"))},e.prototype.queryIntersectsFeature=function(t,e,r,n,a,o,s){var l=lo(t,this.paint.get(\"line-translate\"),this.paint.get(\"line-translate-anchor\"),o.angle,s),c=s/2*Xs(this.paint.get(\"line-width\").evaluate(e,r),this.paint.get(\"line-gap-width\").evaluate(e,r)),u=this.paint.get(\"line-offset\").evaluate(e,r);return u&&(n=function(t,e){for(var r=[],n=new i(0,0),a=0;a<t.length;a++){for(var 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 Xs(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 this.length=this.pos,this.pos=0,this.buf.subarray(0,this.length)},writeFixed32:function(t){this.realloc(4),_l(this.buf,t,this.pos),this.pos+=4},writeSFixed32:function(t){this.realloc(4),_l(this.buf,t,this.pos),this.pos+=4},writeFixed64:function(t){this.realloc(8),_l(this.buf,-1&t,this.pos),_l(this.buf,Math.floor(t*(1/4294967296)),this.pos+4),this.pos+=8},writeSFixed64:function(t){this.realloc(8),_l(this.buf,-1&t,this.pos),_l(this.buf,Math.floor(t*(1/4294967296)),this.pos+4),this.pos+=8},writeVarint:function(t){(t=+t||0)>268435455||t<0?function(t,e){var r,n;t>=0?(r=t%4294967296|0,n=t/4294967296|0):(n=~(-t/4294967296),4294967295^(r=~(-t%4294967296))?r=r+1|0:(r=0,n=n+1|0));if(t>=0x10000000000000000||t<-0x10000000000000000)throw new Error(\"Given varint doesn't fit into 10 bytes\");e.realloc(10),function(t,e,r){r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos]=127&t}(r,0,e),function(t,e){var r=(7&t)<<4;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&&!Xn(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,Z=Ul(o),X=Z.horizontalAlign,J=Z.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,X,J,d,m,a,W,i.length),t.top+=-J*W,t.bottom=t.top+W,t.left+=-X*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),Z=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:Z,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 Zr(\"source\",o):new Xr(\"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:Zs,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 Zc=2*Math.PI*6371008.8;function Xc(t){return Zc*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/Xc(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*Xc($c(e));var t,e},tu.prototype.meterInMercatorCoordinateUnits=function(){return 1/Zc*(t=$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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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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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,X,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,X,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?Z({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?Z({},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 Z(this),this.stencilMask=new X(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(Xi.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 Zt(t,e){return t[e.id]=e,t}function Xt(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(Zt,{}),d=r.reduce(Zt,{}),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 Z=Y-k,X=W-k,J=Y+k,K=W+k;if(T=T&&this.isOffscreen(Z,X,J,K),w=w||this.isInsideGrid(Z,X,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\"),Z=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(y,G,o.lineVertexArray,o.glyphOffsetArray,Y,l,c,u,n,_,m.predicate,Z,W),T=y||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(D=a.iconFeatureIndex),a.iconBox){var X=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=X(a.verticalIconBox)).box.length>0:(I=X(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=Xt(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);}\"),Ze=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);}\"),Xe=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:Ze,circle:Xe,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})},Zr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},Xr=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=$t(M.posMatrix,v,g,e.transform,q),W=w&&E.hasTextData(),Z=\"none\"!==n.layout.get(\"icon-text-fit\")&&W&&E.hasIconData();y&&ne(E,M.posMatrix,e,a,G,Y,v,u);var X=e.translatePosMatrix(M.posMatrix,S,o,s),J=y||a&&w||Z?Qr:G,K=e.translatePosMatrix(Y,S,o,s,!0),Q=P&&0!==n.paint.get(a?\"text-halo-width\":\"icon-halo-width\").constantOr(1),$={program:z,buffers:L,uniformValues:P?E.iconsInText?Wr(I.kind,D,x,v,e,X,J,K,R,F):Yr(I.kind,D,x,v,e,X,J,K,a,R,!0):Gr(I.kind,D,x,v,e,X,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?Xr(b,i,t,c,{tileID:x,tileSize:l},g):Zr(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),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=.8*(e.x-t.x);if(r)return this._active=!0,{bearingDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},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=-.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 Zn(t),c=new Xn(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 Zn({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,i&&(this.mousePitch=new Xn({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\"},Zi=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 Xi={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Ei,NavigationControl:Pi,GeolocateControl:Ui,AttributionControl:bi,ScaleControl:Hi,FullscreenControl:Yi,Popup:Zi,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 Xi})),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\":315}],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",
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       " */\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},{}],259:[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\":260}],260:[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}}},{}],261:[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}},{}],262:[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},{}],263:[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:286,\"stream-parser\":302}],264:[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}}},{}],265:[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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Uint8Array(4*h),w=new Float32Array(4*h);x.forEach((function(t,e){if(t){var r=t.positions,n=t.count,i=t.offset,a=t.color,o=t.errors;n&&(_.set(a,4*i),w.set(o,4*i),g.set(r,2*i))}}));var T=u(g);c(T);var k=f(g,T);p(k),d(_),m(w)}}}function k(){c.destroy(),p.destroy(),d.destroy(),m.destroy(),g.destroy()}};var h=[[1,0,0,1,0,0],[1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,1,0,0],[1,0,0,1,0,0],[1,0,-1,0,0,1],[1,0,-1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,1],[1,0,-1,0,0,1],[-1,0,-1,0,0,1],[-1,0,-1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,1],[-1,0,-1,0,0,1],[0,1,1,0,0,0],[0,1,-1,0,0,0],[0,-1,-1,0,0,0],[0,-1,-1,0,0,0],[0,1,1,0,0,0],[0,-1,1,0,0,0],[0,1,0,-1,1,0],[0,1,0,-1,-1,0],[0,1,0,1,-1,0],[0,1,0,1,1,0],[0,1,0,-1,1,0],[0,1,0,1,-1,0],[0,-1,0,-1,1,0],[0,-1,0,-1,-1,0],[0,-1,0,1,-1,0],[0,-1,0,1,1,0],[0,-1,0,-1,1,0],[0,-1,0,1,-1,0]]},{\"array-bounds\":71,\"color-normalize\":89,\"flatten-vertex-data\":191,\"object-assign\":247,\"pick-by-alias\":253,\"to-float32\":314,\"update-diff\":330}],281:[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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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\":314,\"update-diff\":330}],283:[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\":347,\"object-assign\":247}],336:[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\":347,\"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:\"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\":347,\"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[\"\"]}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\":347,\"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[\"\"]}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\":347,\"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;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\":347,\"object-assign\":247}],342:[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\":347,\"object-assign\":247}],345:[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\":347,\"object-assign\":247}],346:[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\":515,\"../../plot_api/plot_template\":555,\"../../registry\":647}],353:[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\":515,\"../color\":367}],354:[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\":543,\"fast-isnumeric\":190}],355:[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,Z),r}function Z(){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,Z=[\"x\",\"y\"],X=0;X<Z.length;X++){var J,K,Q,$,tt,et=Z[X],rt=e[et+\"ref\"]||et,nt=e[\"a\"+et+\"ref\"],it={x:v,y:x}[et],at=(P+(\"x\"===et?0:-90))*Math.PI/180,ot=B*Math.cos(at),st=H*Math.sin(at),lt=Math.abs(ot)+Math.abs(st),ct=e[et+\"anchor\"],ut=e[et+\"shift\"]*(\"x\"===et?1:-1),ft=C[et],ht=l.getRefType(rt);if(it&&\"domain\"!==ht){var pt=it.r2fraction(e[et]);(pt<0||pt>1)&&(nt===rt?((pt=it.r2fraction(e[\"a\"+et]))<0||pt>1)&&(W=!0):W=!0),J=it._offset+it.r2p(e[et]),$=.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,Z=f;if(e.standoff){var X=Math.sqrt(Math.pow(l-h,2)+Math.pow(f-p,2));W+=e.standoff*(h-l)/X,Z+=e.standoff*(p-f)/X}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-Z),transform:s(W,Z)}).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\":515,\"../../lib/setcursor\":536,\"../../lib/svg_text_utils\":541,\"../../plot_api/plot_template\":555,\"../../plots/cartesian/axes\":566,\"../../plots/plots\":628,\"../../registry\":647,\"../color\":367,\"../dragelement\":386,\"../drawing\":389,\"../fx\":407,\"./draw_arrow_head\":357,\"@plotly/d3\":58}],357:[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(\"./draw\"),i=t(\"./click\");e.exports={moduleType:\"component\",name:\"annotations\",layoutAttributes:t(\"./attributes\"),supplyLayoutDefaults:t(\"./defaults\"),includeBasePlot:t(\"../../plots/cartesian/include_components\")(\"annotations\"),calcAutorange:t(\"./calc_autorange\"),draw:n.draw,drawOne:n.drawOne,drawRaw:n.drawRaw,hasClickToShow:i.hasClickToShow,onClick:i.onClick,convertCoords:t(\"./convert_coords\")}},{\"../../plots/cartesian/include_components\":577,\"./attributes\":350,\"./calc_autorange\":351,\"./click\":352,\"./convert_coords\":354,\"./defaults\":355,\"./draw\":356}],359:[function(t,e,r){\"use strict\";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,Z=Math.round(v*(\"fraction\"===_?o?R.w:R.h:1)),X=Z/(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),$={center:.5,right:1}[L]||0,tt={top:1,middle:.5}[C]||0,et=o?O-$*X:z-tt*X,rt=o?z-tt*K:O-$*K,nt=Math.round(o?R.h*(1-rt):R.w*rt);e._lenFrac=K,e._thickFrac=X,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 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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(Z,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\")+Z).call(p.lineGroupStyle,B.width,V(t),B.dash)})),dt.selectAll(\"g.\"+it._id+\"tick,path\").remove();var 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n,s=Z+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(Z,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],X=k[L],K=T[C],et=k[C],rt=b-Z;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*X):(Y.l=rt*W,Y.r=rt*X,Y.xl=O-v*W,Y.xr=O+v*X)):(\"pixels\"===h?(Y.x=O,Y.l=J*W,Y.r=J*X):(Y.l=Y.r=0,Y.xl=O+l*W,Y.xr=O-l*X),\"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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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,Z={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\"}},X={font:W};x(Z,X,r._fullData);var J=X.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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r=t.index,n=t.trace||{},a=t.cd[0],s=t.cd[r]||{};function l(t){return t||i(t)&&0===t}var c=Array.isArray(r)?function(t,e){var i=o.castOption(a,r,t);return l(i)?i:o.extractOption({},n,\"\",e)}:function(t,e){return o.extractOption(s,n,t,e)};function u(e,r,n){var i=c(r,n);l(i)&&(t[e]=i)}if(u(\"hoverinfo\",\"hi\",\"hoverinfo\"),u(\"bgcolor\",\"hbg\",\"hoverlabel.bgcolor\"),u(\"borderColor\",\"hbc\",\"hoverlabel.bordercolor\"),u(\"fontFamily\",\"htf\",\"hoverlabel.font.family\"),u(\"fontSize\",\"hts\",\"hoverlabel.font.size\"),u(\"fontColor\",\"htc\",\"hoverlabel.font.color\"),u(\"nameLength\",\"hnl\",\"hoverlabel.namelength\"),u(\"textAlign\",\"hta\",\"hoverlabel.align\"),t.posref=\"y\"===e||\"closest\"===e&&\"h\"===n.orientation?t.xa._offset+(t.x0+t.x1)/2:t.ya._offset+(t.y0+t.y1)/2,t.x0=o.constrain(t.x0,0,t.xa._length),t.x1=o.constrain(t.x1,0,t.xa._length),t.y0=o.constrain(t.y0,0,t.ya._length),t.y1=o.constrain(t.y1,0,t.ya._length),void 0!==t.xLabelVal&&(t.xLabel=\"xLabel\"in 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w=\"top\";l.isBottomAnchor(r)&&(b-=h,w=\"bottom\");l.isMiddleAnchor(r)&&(b-=h/2,w=\"middle\");f=Math.ceil(f),h=Math.ceil(h),x=Math.round(x),b=Math.round(b),a.autoMargin(t,i+\"-range-selector\",{x:r.x,y:r.y,l:f*d[_],r:f*m[_],b:h*m[w],t:h*d[w]}),o.attr(\"transform\",c(x,b))}(t,h,f,o._name,r)}))}},{\"../../constants/alignment\":483,\"../../lib\":515,\"../../lib/svg_text_utils\":541,\"../../plots/cartesian/axis_ids\":570,\"../../plots/plots\":628,\"../../registry\":647,\"../color\":367,\"../drawing\":389,\"./constants\":434,\"./get_update_object\":437,\"@plotly/d3\":58}],437:[function(t,e,r){\"use strict\";var n=t(\"d3-time\"),i=t(\"../../lib\").titleCase;e.exports=function(t,e){var r=t._name,a={};if(\"all\"===e.step)a[r+\".autorange\"]=!0;else{var o=function(t,e){var r,a=t.range,o=new Date(t.r2l(a[1])),s=e.step,l=n[\"utc\"+i(s)],c=e.count;switch(e.stepmode){case\"backward\":r=t.l2r(+l.offset(o,-c));break;case\"todate\":var u=l.offset(o,-c);r=t.l2r(+l.ceil(u))}var 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A.style(\"pointer-events\",k?\"all\":\"none\");T[k]=A}var L=T[0];T[1].node().addEventListener(\"click\",(function(){return function(t,e){if(!h(t))return;var r=+e.node().getAttribute(\"data-index\");if(r>=0){if(r===t._fullLayout._activeSelectionIndex)return void m(t);t._fullLayout._activeSelectionIndex=r,t._fullLayout._deactivateSelection=m,f(t)}}(t,L)}))}(t._fullLayout._selectionLayer)}function d(t,e,r){var n=r.xref+r.yref;s.setClipUrl(t,\"clip\"+e._fullLayout._uid+n,e)}function m(t){h(t)&&(t._fullLayout._activeSelectionIndex>=0&&(a(t),delete t._fullLayout._activeSelectionIndex,f(t)))}e.exports={draw:f,drawOne:p,activateLastSelection:function(t){if(!h(t))return;var e=t._fullLayout.selections.length-1;t._fullLayout._activeSelectionIndex=e,t._fullLayout._deactivateSelection=m,f(t)}}},{\"../../plot_api/plot_template\":555,\"../color\":367,\"../drawing\":389,\"../shapes/display_outlines\":461,\"../shapes/draw_newshape/helpers\":466,\"../shapes/handle_outline\":468,\"../shapes/helpers\":469}],451:[function(t,e,r){\"use strict\";var n=t(\"../../drawing/attributes\").dash,i=t(\"../../../lib/extend\").extendFlat;e.exports={newselection:{mode:{valType:\"enumerated\",values:[\"immediate\",\"gradual\"],dflt:\"immediate\",editType:\"none\"},line:{color:{valType:\"color\",editType:\"none\"},width:{valType:\"number\",min:1,dflt:1,editType:\"none\"},dash:i({},n,{dflt:\"dot\",editType:\"none\"}),editType:\"none\"},editType:\"none\"},activeselection:{fillcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"none\"},opacity:{valType:\"number\",min:0,max:1,dflt:.5,editType:\"none\"},editType:\"none\"}}},{\"../../../lib/extend\":505,\"../../drawing/attributes\":388}],452:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){r(\"newselection.mode\"),r(\"newselection.line.width\")&&(r(\"newselection.line.color\"),r(\"newselection.line.dash\")),r(\"activeselection.fillcolor\"),r(\"activeselection.opacity\")}},{}],453:[function(t,e,r){\"use strict\";var n=t(\"../../dragelement/helpers\").selectMode,i=t(\"../../shapes/handle_outline\").clearOutline,a=t(\"../../shapes/draw_newshape/helpers\"),o=a.readPaths,s=a.writePaths,l=a.fixDatesForPaths;e.exports=function(t,e){if(t.length){var r=t[0][0];if(r){var a=r.getAttribute(\"d\"),c=e.gd,u=c._fullLayout.newselection,f=e.plotinfo,h=f.xaxis,p=f.yaxis,d=e.isActiveSelection,m=e.dragmode,g=(c.layout||{}).selections||[];if(!n(m)&&void 0!==d){var v=c._fullLayout._activeSelectionIndex;if(v<g.length)switch(c._fullLayout.selections[v].type){case\"rect\":m=\"select\";break;case\"path\":m=\"lasso\"}}var y,x=o(a,c,f,d),b={xref:h._id,yref:p._id,opacity:u.opacity,line:{color:u.line.color,width:u.line.width,dash:u.line.dash}};1===x.length&&(y=x[0]),y&&5===y.length&&\"select\"===m?(b.type=\"rect\",b.x0=y[0][1],b.y0=y[0][2],b.x1=y[2][1],b.y1=y[2][2]):(b.type=\"path\",h&&p&&l(x,h,p),b.path=s(x),y=null),i(c);for(var _=e.editHelpers,w=(_||{}).modifyItem,T=[],k=0;k<g.length;k++){var 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n=t(\"./draw\"),i=t(\"./select\");e.exports={moduleType:\"component\",name:\"selections\",layoutAttributes:t(\"./attributes\"),supplyLayoutDefaults:t(\"./defaults\"),supplyDrawNewSelectionDefaults:t(\"./draw_newselection/defaults\"),includeBasePlot:t(\"../../plots/cartesian/include_components\")(\"selections\"),draw:n.draw,drawOne:n.drawOne,reselect:i.reselect,prepSelect:i.prepSelect,clearOutline:i.clearOutline,clearSelectionsCache:i.clearSelectionsCache,selectOnClick:i.selectOnClick}},{\"../../plots/cartesian/include_components\":577,\"./attributes\":447,\"./defaults\":449,\"./draw\":450,\"./draw_newselection/defaults\":452,\"./select\":456}],456:[function(t,e,r){\"use strict\";var n=t(\"polybooljs\"),i=t(\"point-in-polygon/nested\"),a=t(\"../../registry\"),o=t(\"../drawing\").dashStyle,s=t(\"../color\"),l=t(\"../fx\"),c=t(\"../fx/helpers\").makeEventData,u=t(\"../dragelement/helpers\"),f=u.freeMode,h=u.rectMode,p=u.drawMode,d=u.openMode,m=u.selectMode,g=t(\"../shapes/helpers\"),v=t(\"../shapes/constants\"),y=t(\"../shapes/display_outlines\"),x=t(\"../shapes/handle_outline\").clearOutline,b=t(\"../shapes/draw_newshape/helpers\"),_=b.handleEllipse,w=b.readPaths,T=t(\"../shapes/draw_newshape/newshapes\"),k=t(\"./draw_newselection/newselections\"),A=t(\"./draw\").activateLastSelection,M=t(\"../../lib\"),S=M.sorterAsc,E=t(\"../../lib/polygon\"),L=t(\"../../lib/throttle\"),C=t(\"../../plots/cartesian/axis_ids\").getFromId,P=t(\"../../lib/clear_gl_canvases\"),I=t(\"../../plot_api/subroutines\").redrawReglTraces,O=t(\"./constants\"),z=O.MINSELECT,D=E.filter,R=E.tester,F=t(\"./helpers\"),B=F.p2r,N=F.axValue,j=F.getTransform;function U(t){return void 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r=t._fullLayout.shapes[e]||{},n=t._fullLayout._plots[r.xref+r.yref];return!!n?n._hadPlotinfo=!0:(n={},r.xref&&\"paper\"!==r.xref&&(n.xaxis=t._fullLayout[r.xref+\"axis\"]),r.yref&&\"paper\"!==r.yref&&(n.yaxis=t._fullLayout[r.yref+\"axis\"])),n.xsizemode=r.xsizemode,n.ysizemode=r.ysizemode,n.xanchor=r.xanchor,n.yanchor=r.yanchor,{options:r,plotinfo:n}},r.makeSelectionsOptionsAndPlotinfo=function(t,e){var r=t._fullLayout.selections[e]||{},n=t._fullLayout._plots[r.xref+r.yref];return!!n?n._hadPlotinfo=!0:(n={},r.xref&&(n.xaxis=t._fullLayout[r.xref+\"axis\"]),r.yref&&(n.yaxis=t._fullLayout[r.yref+\"axis\"])),{options:r,plotinfo:n}},r.getPathString=function(t,e){var o,s,l,c,u,f,h,p,d=e.type,m=a.getRefType(e.xref),g=a.getRefType(e.yref),v=a.getFromId(t,e.xref),y=a.getFromId(t,e.yref),x=t._fullLayout._size;if(v?\"domain\"===m?s=function(t){return v._offset+v._length*t}:(o=r.shapePositionToRange(v),s=function(t){return v._offset+v.r2p(o(t,!0))}):s=function(t){return 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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\":505,\"../../plot_api/edit_types\":548,\"../../plot_api/plot_template\":555,\"../../plots/animation_attributes\":560,\"../../plots/font_attributes\":594,\"../../plots/pad_attributes\":627,\"./constants\":472}],472:[function(t,e,r){\"use 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L=(m+.5)/84;e.maskBreaks(i*(1-L)+L*p)!==I&&d++}(h*=d/84)||(t[n].drop=!0),s&&u>A&&(h=u)}(h>0||0===n)&&(t[n].periodX=i+h/2)}}(C,t,t._definedDelta),t.rangebreaks){var at=\"y\"===t._id.charAt(0),ot=1;\"auto\"===t.tickmode&&(ot=t.tickfont?t.tickfont.size:12);var st=NaN;for(r=C.length-1;r>-1;r--)if(C[r].drop)C.splice(r,1);else{C[r].value=It(C[r].value,t);var lt=t.c2p(C[r].value);(at?st>lt-ot:st<lt+ot)?C.splice(f?r+1:r,1):st=lt}}Pt(t)&&360===Math.abs(u[1]-u[0])&&C.pop(),t._tmax=(C[C.length-1]||{}).value,t._prevDateHead=\"\",t._inCalcTicks=!0;var ct,ut,ft=function(e){e.text=\"\",t._prevDateHead=n};for(C=C.concat(P),r=0;r<C.length;r++){var ht=C[r].minor,pt=C[r].value;ht?L.push({x:pt,minor:!0}):(n=t._prevDateHead,ct=q.tickText(t,pt,!1,C[r].simpleLabel),void 0!==(ut=C[r].periodX)&&(ct.periodX=ut,(ut>p||ut<h)&&(ut>p&&(ct.periodX=p),ut<h&&(ct.periodX=h),ft(ct))),C[r].skipLabel&&ft(ct),m.push(ct))}return m=m.concat(L),t._inCalcTicks=!1,c&&m.length&&(m[0].noTick=!0),m};var 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l=Math.max(Math.abs(s[0]),Math.abs(s[1])),c=Math.floor(Math.log(l)/Math.LN10+.01),u=void 0===t.minexponent?3:t.minexponent;Math.abs(c)>u&&(mt(t.exponentformat)&&!gt(c)?t._tickexponent=3*Math.round((c-1)/3):t._tickexponent=c)}else t._tickround=null}function pt(t,e,r){var n=t.tickfont||{};return{x:e,dx:0,dy:0,text:r||\"\",fontSize:n.size,font:n.family,fontColor:n.color}}q.autoTicks=function(t,e,r){var n;function a(t){return Math.pow(t,Math.floor(Math.log(e)/Math.LN10))}if(\"date\"===t.type){t.tick0=s.dateTick0(t.calendar,0);var o=2*e;if(o>v)e/=v,n=a(10),t.dtick=\"M\"+12*ft(e,n,it);else if(o>T)e/=T,t.dtick=\"M\"+ft(e,1,at);else if(o>M){if(t.dtick=ft(e,M,t._hasDayOfWeekBreaks?[1,2,7,14]:st),!r){var l=q.getTickFormat(t),c=\"period\"===t.ticklabelmode;c&&(t._rawTick0=t.tick0),/%[uVW]/.test(l)?t.tick0=s.dateTick0(t.calendar,2):t.tick0=s.dateTick0(t.calendar,1),c&&(t._dowTick0=t.tick0)}}else o>E?t.dtick=ft(e,E,at):o>L?t.dtick=ft(e,L,ot):o>C?t.dtick=ft(e,C,ot):(n=a(10),t.dtick=ft(e,n,it))}else if(\"log\"===t.type){t.tick0=0;var u=s.simpleMap(t.range,t.r2l);if(t._isMinor&&(e*=1.5),e>.7)t.dtick=Math.ceil(e);else if(Math.abs(u[1]-u[0])<1){var f=1.5*Math.abs((u[1]-u[0])/e);e=Math.abs(Math.pow(10,u[1])-Math.pow(10,u[0]))/f,n=a(10),t.dtick=\"L\"+ft(e,n,it)}else t.dtick=e>.3?\"D2\":\"D1\"}else\"category\"===t.type||\"multicategory\"===t.type?(t.tick0=0,t.dtick=Math.ceil(Math.max(e,1))):Pt(t)?(t.tick0=0,n=1,t.dtick=ft(e,n,ut)):(t.tick0=0,n=a(10),t.dtick=ft(e,n,it));if(0===t.dtick&&(t.dtick=1),!i(t.dtick)&&\"string\"!=typeof t.dtick){var h=t.dtick;throw t.dtick=1,\"ax.dtick error: \"+String(h)}},q.tickIncrement=function(t,e,r,a){var o=r?-1:1;if(i(e))return s.increment(t,o*e);var l=e.charAt(0),c=o*Number(e.substr(1));if(\"M\"===l)return s.incrementMonth(t,c,a);if(\"L\"===l)return Math.log(Math.pow(10,t)+c)/Math.LN10;if(\"D\"===l){var u=\"D2\"===e?ct:lt,f=t+.01*o,h=s.roundUp(s.mod(f,1),u,r);return Math.floor(f)+Math.log(n.round(Math.pow(10,h),1))/Math.LN10}throw\"unrecognized dtick 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d=String(e.text).charAt(0);\"0\"!==d&&\"1\"!==d||(\"y\"===t._id.charAt(0)?e.dx-=e.fontSize/4:(e.dy+=e.fontSize/2,e.dx+=(t.range[1]>t.range[0]?1:-1)*e.fontSize*(l<0?.5:.25)))}}(t,o,0,c,m):\"category\"===u?function(t,e){var r=t._categories[Math.round(e.x)];void 0===r&&(r=\"\");e.text=String(r)}(t,o):\"multicategory\"===u?function(t,e,r){var n=Math.round(e.x),i=t._categories[n]||[],a=void 0===i[1]?\"\":String(i[1]),o=void 0===i[0]?\"\":String(i[0]);r?e.text=o+\" - \"+a:(e.text=a,e.text2=o)}(t,o,r):Pt(t)?function(t,e,r,n,i){if(\"radians\"!==t.thetaunit||r)e.text=vt(e.x,t,i,n);else{var a=e.x/180;if(0===a)e.text=\"0\";else{var o=function(t){function e(t,e){return Math.abs(t-e)<=1e-6}var r=function(t){for(var r=1;!e(Math.round(t*r)/r,t);)r*=10;return r}(t),n=t*r,i=Math.abs(function t(r,n){return e(n,0)?r:t(n,r%n)}(n,r));return[Math.round(n/i),Math.round(r/i)]}(a);if(o[1]>=100)e.text=vt(s.deg2rad(e.x),t,i,n);else{var 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a=r[n].yaxis;X[a._id]=a}J=Z(V),K=Z(X),it=D(J,v),at=D(K,m),ot=!at&&!it,nt=Y(t,t._fullLayout._axisMatchGroups,V,X);var o=(rt=Y(t,t._fullLayout._axisConstraintGroups,V,X,nt)).isSubplotConstrained||nt.isSubplotConstrained;st=v||o,lt=m||o;var s=t._fullLayout;ct=s._has(\"scattergl\"),ut=s._has(\"splom\"),ft=s._has(\"svg\")}yt();var xt=function(t,e,r){if(!t)return\"pointer\";if(\"nsew\"===t)return r?\"\":\"pan\"===e?\"move\":\"crosshair\";return t.toLowerCase()+\"-resize\"}(at+it,t._fullLayout.dragmode,gt),bt=z(e,m+v+\"drag\",xt,r,s,c,f);if(ot&&!gt)return bt.onmousedown=null,bt.style.pointerEvents=\"none\",bt;var _t,wt,Tt,kt,At,Mt,St,Et,Lt,Ct,Pt={element:bt,gd:t,plotinfo:e};function It(){Pt.plotinfo.selection=!1,M(t)}function Ot(t,r){var i=Pt.gd;if(i._fullLayout._activeShapeIndex>=0)i._fullLayout._deactivateShape(i);else{var o=i._fullLayout.clickmode;if(H(i),2!==t||vt||qt(),gt)o.indexOf(\"select\")>-1&&S(r,i,J,K,e.id,Pt),o.indexOf(\"event\")>-1&&p.click(i,r,e.id);else if(1===t&&vt){var s=m?O:I,c=\"s\"===m||\"w\"===v?0:1,f=s._name+\".range[\"+c+\"]\",h=function(t,e){var r,n=t.range[e],i=Math.abs(n-t.range[1-e]);return\"date\"===t.type?n:\"log\"===t.type?(r=Math.ceil(Math.max(0,-Math.log(i)/Math.LN10))+3,a(\".\"+r+\"g\")(Math.pow(10,n))):(r=Math.floor(Math.log(Math.abs(n))/Math.LN10)-Math.floor(Math.log(i)/Math.LN10)+4,a(\".\"+String(r)+\"g\")(n))}(s,c),d=\"left\",g=\"middle\";if(s.fixedrange)return;m?(g=\"n\"===m?\"top\":\"bottom\",\"right\"===s.side&&(d=\"right\")):\"e\"===v&&(d=\"right\"),i._context.showAxisRangeEntryBoxes&&n.select(bt).call(u.makeEditable,{gd:i,immediate:!0,background:i._fullLayout.paper_bgcolor,text:String(h),fill:s.tickfont?s.tickfont.color:\"#444\",horizontalAlign:d,verticalAlign:g}).on(\"edit\",(function(t){var e=s.d2r(t);void 0!==e&&l.call(\"_guiRelayout\",i,f,e)}))}}}function zt(e,r){if(t._transitioningWithDuration)return!1;var n=Math.max(0,Math.min(tt,pt*e+_t)),i=Math.max(0,Math.min(et,dt*r+wt)),a=Math.abs(n-_t),o=Math.abs(i-wt);function s(){St=\"\",Tt.r=Tt.l,Tt.t=Tt.b,Lt.attr(\"d\",\"M0,0Z\")}if(Tt.l=Math.min(_t,n),Tt.r=Math.max(_t,n),Tt.t=Math.min(wt,i),Tt.b=Math.max(wt,i),rt.isSubplotConstrained)a>P||o>P?(St=\"xy\",a/tt>o/et?(o=a*et/tt,wt>i?Tt.t=wt-o:Tt.b=wt+o):(a=o*tt/et,_t>n?Tt.l=_t-a:Tt.r=_t+a),Lt.attr(\"d\",G(Tt))):s();else if(nt.isSubplotConstrained)if(a>P||o>P){St=\"xy\";var l=Math.min(Tt.l/tt,(et-Tt.b)/et),c=Math.max(Tt.r/tt,(et-Tt.t)/et);Tt.l=l*tt,Tt.r=c*tt,Tt.b=(1-l)*et,Tt.t=(1-c)*et,Lt.attr(\"d\",G(Tt))}else s();else!at||o<Math.min(Math.max(.6*a,C),P)?a<C||!it?s():(Tt.t=0,Tt.b=et,St=\"x\",Lt.attr(\"d\",function(t,e){return\"M\"+(t.l-.5)+\",\"+(e-P-.5)+\"h-3v\"+(2*P+1)+\"h3ZM\"+(t.r+.5)+\",\"+(e-P-.5)+\"h3v\"+(2*P+1)+\"h-3Z\"}(Tt,wt))):!it||a<Math.min(.6*o,P)?(Tt.l=0,Tt.r=tt,St=\"y\",Lt.attr(\"d\",function(t,e){return\"M\"+(e-P-.5)+\",\"+(t.t-.5)+\"v-3h\"+(2*P+1)+\"v3ZM\"+(e-P-.5)+\",\"+(t.b+.5)+\"v3h\"+(2*P+1)+\"v-3Z\"}(Tt,_t))):(St=\"xy\",Lt.attr(\"d\",G(Tt)));Tt.w=Tt.r-Tt.l,Tt.h=Tt.b-Tt.t,St&&(Ct=!0),t._dragged=Ct,U(Et,Lt,Tt,At,Mt,kt),Dt(),t.emit(\"plotly_relayouting\",ht),Mt=!0}function Dt(){ht={},\"xy\"!==St&&\"x\"!==St||(R(J,Tt.l/tt,Tt.r/tt,ht,rt.xaxes),Vt(\"x\",ht)),\"xy\"!==St&&\"y\"!==St||(R(K,(et-Tt.b)/et,(et-Tt.t)/et,ht,rt.yaxes),Vt(\"y\",ht))}function Rt(){Dt(),H(t),Gt(),q(t)}Pt.prepFn=function(e,r,n){var 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 Ft=[0,0,tt,et],Bt=null,Nt=L.REDRAWDELAY,jt=e.mainplot?t._fullLayout._plots[e.mainplot]:e;function Ut(e,r){if(e*=pt,r*=dt,!t._transitioningWithDuration){if(t._fullLayout._replotting=!0,\"ew\"===it||\"ns\"===at){var n=it?-e:0,i=at?-r:0;if(nt.isSubplotConstrained){if(it&&at){var a=(e/tt-r/et)/2;n=-(e=a*tt),i=-(r=-a*et)}at?n=-i*tt/et:i=-n*et/tt}return it&&(F(J,e),Vt(\"x\")),at&&(F(K,r),Vt(\"y\")),Yt([n,i,tt,et]),Ht(),void t.emit(\"plotly_relayouting\",ht)}var o,s,l=\"w\"===it==(\"n\"===at)?1:-1;if(it&&at&&(rt.isSubplotConstrained||nt.isSubplotConstrained)){var c=(e/tt+l*r/et)/2;e=c*tt,r=l*c*et}if(\"w\"===it?e=p(J,0,e):\"e\"===it?e=p(J,1,-e):it||(e=0),\"n\"===at?r=p(K,1,r):\"s\"===at?r=p(K,0,-r):at||(r=0),o=\"w\"===it?e:0,s=\"n\"===at?r:0,rt.isSubplotConstrained&&!nt.isSubplotConstrained||nt.isSubplotConstrained&&it&&at&&l>0){var u;if(nt.isSubplotConstrained||!it&&1===at.length){for(u=0;u<J.length;u++)J[u].range=J[u]._r.slice(),E(J[u],1-r/et);o=(e=r*tt/et)/2}if(nt.isSubplotConstrained||!at&&1===it.length){for(u=0;u<K.length;u++)K[u].range=K[u]._r.slice(),E(K[u],1-e/tt);s=(r=e*et/tt)/2}}nt.isSubplotConstrained&&at||Vt(\"x\"),nt.isSubplotConstrained&&it||Vt(\"y\");var f=tt-e,h=et-r;!nt.isSubplotConstrained||it&&at||(it?(s=o?0:e*et/tt,h=f*et/tt):(o=s?0:r*tt/et,f=h*tt/et)),Yt([o,s,f,h]),Ht(),t.emit(\"plotly_relayouting\",ht)}function p(t,e,r){for(var n,i,a=1-e,o=0;o<t.length;o++){var s=t[o];if(!s.fixedrange){n=s,i=s._rl[a]+(s._rl[e]-s._rl[a])/B(r/s._length);var l=s.l2r(i);!1!==l&&void 0!==l&&(s.range[e]=l)}}return n._length*(n._rl[e]-i)/(n._rl[e]-n._rl[a])}}function Vt(t,e){for(var r=nt.isSubplotConstrained?{x:K,y:J}[t]:nt[t+\"axes\"],n=nt.isSubplotConstrained?{x:J,y:K}[t]:[],i=0;i<r.length;i++){var a=r[i],o=a._id,s=nt.xLinks[o]||nt.yLinks[o],l=n[0]||V[s]||X[s];l&&(e?(e[a._name+\".range[0]\"]=e[l._name+\".range[0]\"],e[a._name+\".range[1]\"]=e[l._name+\".range[1]\"]):a.range=l.range.slice())}}function Ht(){var e,r=[];function n(t){for(e=0;e<t.length;e++)t[e].fixedrange||r.push(t[e]._id)}for(st&&(n(J),n(rt.xaxes),n(nt.xaxes)),lt&&(n(K),n(rt.yaxes),n(nt.yaxes)),ht={},e=0;e<r.length;e++){var i=r[e],a=k(t,i);d.drawOne(t,a,{skipTitle:!0}),ht[a._name+\".range[0]\"]=a.range[0],ht[a._name+\".range[1]\"]=a.range[1]}d.redrawComponents(t,r)}function qt(){if(!t._transitioningWithDuration){var e=t._context.doubleClick,r=[];it&&(r=r.concat(J)),at&&(r=r.concat(K)),nt.xaxes&&(r=r.concat(nt.xaxes)),nt.yaxes&&(r=r.concat(nt.yaxes));var n,i,a,o={};if(\"reset+autosize\"===e)for(e=\"autosize\",i=0;i<r.length;i++)if((n=r[i])._rangeInitial&&(n.range[0]!==n._rangeInitial[0]||n.range[1]!==n._rangeInitial[1])||!n._rangeInitial&&!n.autorange){e=\"reset\";break}if(\"autosize\"===e)for(i=0;i<r.length;i++)(n=r[i]).fixedrange||(o[n._name+\".autorange\"]=!0);else if(\"reset\"===e)for((it||rt.isSubplotConstrained)&&(r=r.concat(rt.xaxes)),at&&!rt.isSubplotConstrained&&(r=r.concat(rt.yaxes)),rt.isSubplotConstrained&&(it?at||(r=r.concat(K)):r=r.concat(J)),i=0;i<r.length;i++)(n=r[i]).fixedrange||(n._rangeInitial?(a=n._rangeInitial,o[n._name+\".range[0]\"]=a[0],o[n._name+\".range[1]\"]=a[1]):o[n._name+\".autorange\"]=!0);t.emit(\"plotly_doubleclick\",null),l.call(\"_guiRelayout\",t,o)}}function Gt(){Yt([0,0,tt,et]),i.syncOrAsync([T.previousPromises,function(){t._fullLayout._replotting=!1,l.call(\"_guiRelayout\",t,ht)}],t)}function Yt(e){var 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&&X[o._id];if(k?(y=d,b=v||nt.isSubplotConstrained?e[0]:Xt(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:Xt(a,y,{n:\"top\",s:\"bottom\"}[at])):b=Zt(a,y=Wt(a,d,g)),A?(x=g,T=m||nt.isSubplotConstrained?e[1]:Xt(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:Xt(o,x,{e:\"right\",w:\"left\"}[it])):T=Zt(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 Zt(t,e){return e?(t.range=t._r.slice(),E(t,e),Xt(t,e)):0}function Xt(t,e,r){return t._length*(1-e)*b[r||t.constraintoward||\"middle\"]}return 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\":367,\"../../components/dragelement\":386,\"../../components/dragelement/helpers\":385,\"../../components/drawing\":389,\"../../components/fx\":407,\"../../components/selections\":455,\"../../constants/alignment\":483,\"../../lib\":515,\"../../lib/clear_gl_canvases\":499,\"../../lib/setcursor\":536,\"../../lib/svg_text_utils\":541,\"../../plot_api/subroutines\":556,\"../../registry\":647,\"../plots\":628,\"./axes\":566,\"./axis_ids\":570,\"./constants\":573,\"./scale_zoom\":584,\"@plotly/d3\":58,\"has-passive-events\":229,tinycolor2:313}],576:[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 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n=t(\"@plotly/d3\"),i=t(\"d3-geo\"),a=i.geoPath,o=i.geoDistance,s=t(\"d3-geo-projection\"),l=t(\"../../registry\"),c=t(\"../../lib\"),u=c.strTranslate,f=t(\"../../components/color\"),h=t(\"../../components/drawing\"),p=t(\"../../components/fx\"),d=t(\"../plots\"),m=t(\"../cartesian/axes\"),g=t(\"../cartesian/autorange\").getAutoRange,v=t(\"../../components/dragelement\"),y=t(\"../../components/selections\").prepSelect,x=t(\"../../components/selections\").clearOutline,b=t(\"../../components/selections\").selectOnClick,_=t(\"./zoom\"),w=t(\"./constants\"),T=t(\"../../lib/geo_location_utils\"),k=t(\"../../lib/topojson_utils\"),A=t(\"topojson-client\").feature;function 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r=this.graphDiv,n=e[this.id],l=e._size,u=n.domain,f=n.projection,h=n.lonaxis,p=n.lataxis,d=h._ax,m=p._ax,v=this.projection=function(t){var e=t.projection,r=e.type,n=w.projNames[r];n=\"geo\"+c.titleCase(n);for(var l=(i[n]||s[n])(),u=t._isSatellite?180*Math.acos(1/e.distance)/Math.PI:t._isClipped?w.lonaxisSpan[r]/2:null,f=[\"center\",\"rotate\",\"parallels\",\"clipExtent\"],h=function(t){return t?l:[]},p=0;p<f.length;p++){var d=f[p];\"function\"!=typeof l[d]&&(l[d]=h)}l.isLonLatOverEdges=function(t){if(null===l(t))return!0;if(u){var e=l.rotate();return o(t,[-e[0],-e[1]])>u*Math.PI/180}return!1},l.getPath=function(){return a().projection(l)},l.getBounds=function(t){return l.getPath().bounds(t)},l.precision(w.precision),t._isSatellite&&l.tilt(e.tilt).distance(e.distance);u&&l.clipAngle(u-w.clipPad);return l}(n),y=[[l.l+l.w*u.x[0],l.t+l.h*(1-u.y[1])],[l.l+l.w*u.x[1],l.t+l.h*(1-u.y[0])]],x=n.center||{},b=f.rotation||{},_=h.range||[],T=p.range||[];if(n.fitbounds){d._length=y[1][0]-y[0][0],m._length=y[1][1]-y[0][1],d.range=g(r,d),m.range=g(r,m);var k=(d.range[0]+d.range[1])/2,A=(m.range[0]+m.range[1])/2;if(n._isScoped)x={lon:k,lat:A};else if(n._isClipped){x={lon:k,lat:A},b={lon:k,lat:A,roll:b.roll};var M=f.type,S=w.lonaxisSpan[M]/2||180,L=w.lataxisSpan[M]/2||90;_=[k-S,k+S],T=[A-L,A+L]}else x={lon:k,lat:A},b={lon:k,lat:b.lat,roll:b.roll}}v.center([x.lon-b.lon,x.lat-b.lat]).rotate([-b.lon,-b.lat,b.roll]).parallels(f.parallels);var C=E(_,T);v.fitExtent(y,C);var P=this.bounds=v.getBounds(C),I=this.fitScale=v.scale(),O=v.translate();if(n.fitbounds){var z=v.getBounds(E(d.range,m.range)),D=Math.min((P[1][0]-P[0][0])/(z[1][0]-z[0][0]),(P[1][1]-P[0][1])/(z[1][1]-z[0][1]));isFinite(D)?v.scale(D*I):c.warn(\"Something went wrong during\"+this.id+\"fitbounds computations.\")}else v.scale(f.scale*I);var 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e=a[t]=n.select(this);\"bg\"===t?r.bgRect=e.append(\"rect\").style(\"pointer-events\",\"all\"):s(t)?o[t]=e.append(\"path\").style(\"fill\",\"none\"):\"backplot\"===t?e.append(\"g\").classed(\"choroplethlayer\",!0):\"frontplot\"===t?e.append(\"g\").classed(\"scatterlayer\",!0):l(t)?o[t]=e.append(\"path\").style(\"fill\",\"none\").style(\"stroke-miterlimit\",2):c(t)&&(o[t]=e.append(\"path\").style(\"stroke\",\"none\"))})),p.order(),p.each((function(r){var n=o[r],a=w.layerNameToAdjective[r];\"frame\"===r?n.datum(w.sphereSVG):l(r)||c(r)?n.datum(A(i,i.objects[r])):s(r)&&n.datum(function(t,e,r){var n,i,a,o=e[t],s=w.scopeDefaults[e.scope];\"lonaxis\"===t?(n=s.lonaxisRange,i=s.lataxisRange,a=function(t,e){return[t,e]}):\"lataxis\"===t&&(n=s.lataxisRange,i=s.lonaxisRange,a=function(t,e){return[e,t]});var l={type:\"linear\",range:[n[0],n[1]-1e-6],tick0:o.tick0,dtick:o.dtick};m.setConvert(l,r);var c=m.calcTicks(l);e.isScoped||\"lonaxis\"!==t||c.pop();for(var u=c.length,f=new Array(u),h=0;h<u;h++)for(var p=c[h].x,d=f[h]=[],g=i[0];g<i[1]+2.5;g+=2.5)d.push(a(p,g));return{type:\"MultiLineString\",coordinates:f}}(r,e,t)).call(f.stroke,e[r].gridcolor).call(h.dashLine,e[r].griddash,e[r].gridwidth),l(r)?n.call(f.stroke,e[a+\"color\"]).call(h.dashLine,\"\",e[a+\"width\"]):c(r)&&n.call(f.fill,e[a+\"color\"])}))},S.updateDims=function(t,e){var 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={element:r.bgRect.node(),gd:i,plotinfo:{id:r.id,xaxis:r.xaxis,yaxis:r.yaxis,fillRangeItems:function(t,e){e.isRect?(t.range={})[r.id]=[f([e.xmin,e.ymin]),f([e.xmax,e.ymax])]:(t.lassoPoints={})[r.id]=e.map(f)}},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 t)e[r.id+\".\"+n]=t[n];l.call(\"_guiRelayout\",i,e),i.emit(\"plotly_doubleclick\",null)})),i._context._scrollZoom.geo||a.on(\"wheel.zoom\",null)):\"select\"!==o&&\"lasso\"!==o||(a.on(\".zoom\",null),u.prepFn=function(t,e,r){y(t,e,r,u,o)},v.init(u)),a.on(\"mousemove\",(function(){var t=r.projection.invert(c.getPositionFromD3Event());if(!t)return v.unhover(i,n.event);r.xaxis.p2c=function(){return t[0]},r.yaxis.p2c=function(){return 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l(t,e){this.element=t,this.plot=e,this.mouseListener=null,this.wheelListener=null,this.lastInputTime=Date.now(),this.lastPos=[0,0],this.boxEnabled=!1,this.boxInited=!1,this.boxStart=[0,0],this.boxEnd=[0,0],this.dragStart=[0,0]}e.exports=function(t){var e=t.mouseContainer,r=t.glplot,c=new l(e,r);function u(){t.xaxis.autorange=!1,t.yaxis.autorange=!1}function f(e,n,i){var a,s,l=t.calcDataBox(),f=r.viewBox,h=c.lastPos[0],p=c.lastPos[1],d=o.MINDRAG*r.pixelRatio,m=o.MINZOOM*r.pixelRatio;function g(e,r,n){var i=Math.min(r,n),a=Math.max(r,n);i!==a?(l[e]=i,l[e+2]=a,c.dataBox=l,t.setRanges(l)):(t.selectBox.selectBox=[0,0,1,1],t.glplot.setDirty())}switch(n*=r.pixelRatio,i*=r.pixelRatio,i=f[3]-f[1]-i,t.fullLayout.dragmode){case\"zoom\":if(e){var v=n/(f[2]-f[0])*(l[2]-l[0])+l[0],y=i/(f[3]-f[1])*(l[3]-l[1])+l[1];c.boxInited||(c.boxStart[0]=v,c.boxStart[1]=y,c.dragStart[0]=n,c.dragStart[1]=i),c.boxEnd[0]=v,c.boxEnd[1]=y,c.boxInited=!0,c.boxEnabled||c.boxStart[0]===c.boxEnd[0]&&c.boxStart[1]===c.boxEnd[1]||(c.boxEnabled=!0);var x=Math.abs(c.dragStart[0]-n)<m,b=Math.abs(c.dragStart[1]-i)<m;if(!function(){for(var e=t.graphDiv._fullLayout._axisConstraintGroups,r=t.xaxis._id,n=t.yaxis._id,i=0;i<e.length;i++)if(-1!==e[i][r]){if(-1!==e[i][n])return!0;break}return!1}()||x&&b)x&&(c.boxEnd[0]=c.boxStart[0]),b&&(c.boxEnd[1]=c.boxStart[1]);else{a=c.boxEnd[0]-c.boxStart[0],s=c.boxEnd[1]-c.boxStart[1];var _=(l[3]-l[1])/(l[2]-l[0]);Math.abs(a*_)>Math.abs(s)?(c.boxEnd[1]=c.boxStart[1]+Math.abs(a)*_*(s>=0?1:-1),c.boxEnd[1]<l[1]?(c.boxEnd[1]=l[1],c.boxEnd[0]=c.boxStart[0]+(l[1]-c.boxStart[1])/Math.abs(_)):c.boxEnd[1]>l[3]&&(c.boxEnd[1]=l[3],c.boxEnd[0]=c.boxStart[0]+(l[3]-c.boxStart[1])/Math.abs(_))):(c.boxEnd[0]=c.boxStart[0]+Math.abs(s)/_*(a>=0?1:-1),c.boxEnd[0]<l[0]?(c.boxEnd[0]=l[0],c.boxEnd[1]=c.boxStart[1]+(l[0]-c.boxStart[0])*Math.abs(_)):c.boxEnd[0]>l[2]&&(c.boxEnd[0]=l[2],c.boxEnd[1]=c.boxStart[1]+(l[2]-c.boxStart[0])*Math.abs(_)))}}else c.boxEnabled?(a=c.boxStart[0]!==c.boxEnd[0],s=c.boxStart[1]!==c.boxEnd[1],a||s?(a&&(g(0,c.boxStart[0],c.boxEnd[0]),t.xaxis.autorange=!1),s&&(g(1,c.boxStart[1],c.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),c.boxEnabled=!1,c.boxInited=!1):c.boxInited&&(c.boxInited=!1);break;case\"pan\":c.boxEnabled=!1,c.boxInited=!1,e?(c.panning||(c.dragStart[0]=n,c.dragStart[1]=i),Math.abs(c.dragStart[0]-n)<d&&(n=c.dragStart[0]),Math.abs(c.dragStart[1]-i)<d&&(i=c.dragStart[1]),a=(h-n)*(l[2]-l[0])/(r.viewBox[2]-r.viewBox[0]),s=(p-i)*(l[3]-l[1])/(r.viewBox[3]-r.viewBox[1]),l[0]+=a,l[2]+=a,l[1]+=s,l[3]+=s,t.setRanges(l),c.panning=!0,c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations()):c.panning&&(c.panning=!1,t.relayoutCallback())}c.lastPos[0]=n,c.lastPos[1]=i}return c.mouseListener=n(e,f),e.addEventListener(\"touchstart\",(function(t){var r=a(t.changedTouches[0],e);f(0,r[0],r[1]),f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchmove\",(function(t){t.preventDefault();var r=a(t.changedTouches[0],e);f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchend\",(function(t){f(0,c.lastPos[0],c.lastPos[1]),t.preventDefault()}),!!s&&{passive:!1}),c.wheelListener=i(e,(function(e,n){if(!t.scrollZoom)return!1;var i=t.calcDataBox(),a=r.viewBox,o=c.lastPos[0],s=c.lastPos[1],l=Math.exp(5*n/(a[3]-a[1])),f=o/(a[2]-a[0])*(i[2]-i[0])+i[0],h=s/(a[3]-a[1])*(i[3]-i[1])+i[1];return i[0]=(i[0]-f)*l+f,i[2]=(i[2]-f)*l+f,i[1]=(i[1]-h)*l+h,i[3]=(i[3]-h)*l+h,t.setRanges(i),c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0}),!0),c}},{\"../cartesian/constants\":573,\"has-passive-events\":229,\"mouse-change\":241,\"mouse-event-offset\":242,\"mouse-wheel\":244}],604:[function(t,e,r){\"use strict\";var n=t(\"../cartesian/axes\"),i=t(\"../../lib/str2rgbarray\");function a(t){this.scene=t,this.gl=t.gl,this.pixelRatio=t.pixelRatio,this.screenBox=[0,0,1,1],this.viewBox=[0,0,1,1],this.dataBox=[-1,-1,1,1],this.borderLineEnable=[!1,!1,!1,!1],this.borderLineWidth=[1,1,1,1],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.ticks=[[],[]],this.tickEnable=[!0,!0,!1,!1],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labels=[\"x\",\"y\"],this.labelEnable=[!0,!0,!1,!1],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelPad=[15,15,15,15],this.labelSize=[12,12],this.labelFont=[\"sans-serif\",\"sans-serif\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.title=\"\",this.titleEnable=!0,this.titleCenter=[0,0,0,0],this.titleAngle=0,this.titleColor=[0,0,0,1],this.titleFont=\"sans-serif\",this.titleSize=18,this.gridLineEnable=[!0,!0],this.gridLineColor=[[0,0,0,.5],[0,0,0,.5]],this.gridLineWidth=[1,1],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[1,1],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.static=this.scene.staticPlot}var o=a.prototype,s=[\"xaxis\",\"yaxis\"];o.merge=function(t){var e,r,n,a,o,l,c,u,f,h,p;for(this.titleEnable=!1,this.backgroundColor=i(t.plot_bgcolor),h=0;h<2;++h){var d=(e=s[h]).charAt(0);for(n=(r=t[this.scene[e]._name]).title.text===this.scene.fullLayout._dfltTitle[d]?\"\":r.title.text,p=0;p<=2;p+=2)this.labelEnable[h+p]=!1,this.labels[h+p]=n,this.labelColor[h+p]=i(r.title.font.color),this.labelFont[h+p]=r.title.font.family,this.labelSize[h+p]=r.title.font.size,this.labelPad[h+p]=this.getLabelPad(e,r),this.tickEnable[h+p]=!1,this.tickColor[h+p]=i((r.tickfont||{}).color),this.tickAngle[h+p]=\"auto\"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[h+p]=this.getTickPad(r),this.tickMarkLength[h+p]=0,this.tickMarkWidth[h+p]=r.tickwidth||0,this.tickMarkColor[h+p]=i(r.tickcolor),this.borderLineEnable[h+p]=!1,this.borderLineColor[h+p]=i(r.linecolor),this.borderLineWidth[h+p]=r.linewidth||0;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 e=this.scene,r=e.fullLayout._subplots.gl2d;return 0!==n.findSubplotsWithAxis(r,t).indexOf(e.id)},o.hasAxisInDfltPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"bottom\"===r:\"yaxis\"===t?\"left\"===r:void 0},o.hasAxisInAltrPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"top\"===r:\"yaxis\"===t?\"right\"===r:void 0},o.getLabelPad=function(t,e){var r=e.title.font.size,n=e.showticklabels;return\"xaxis\"===t?\"top\"===e.side?r*(1.5+(n?1:0))-10:r*(1.5+(n?.5:0))-10:\"yaxis\"===t?\"right\"===e.side?10+r*(1.5+(n?1:.5)):10+r*(1.5+(n?.5:0)):void 0},o.getTickPad=function(t){return\"outside\"===t.ticks?10+t.ticklen:15},o.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return\"inside\"===t.ticks?-e:e},e.exports=function(t){return new a(t)}},{\"../../lib/str2rgbarray\":540,\"../cartesian/axes\":566}],605:[function(t,e,r){\"use strict\";var 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\":408,\"../../constants/xmlns_namespaces\":492,\"../../plot_api/edit_types\":548,\"../cartesian\":578,\"../cartesian/attributes\":564,\"../cartesian/constants\":573,\"../get_data\":602,\"../layout_attributes\":619,\"./scene2d\":606}],606:[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\":1133,\"../../components/dragelement/helpers\":385,\"../../components/fx\":407,\"../../lib/show_no_webgl_msg\":537,\"../../plots/cartesian/axes\":566,\"../../registry\":647,\"../cartesian/autorange\":565,\"../cartesian/constants\":573,\"../cartesian/constraints\":574,\"./camera\":603,\"./convert\":604,\"webgl-context\":332}],607:[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\":408,\"../../constants/xmlns_namespaces\":492,\"../../lib\":515,\"../../plot_api/edit_types\":548,\"../get_data\":602,\"./layout/attributes\":608,\"./layout/defaults\":612,\"./layout/layout_attributes\":613,\"./scene\":617}],608:[function(t,e,r){\"use strict\";e.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},{}],609:[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\":367,\"../../../lib/extend\":505,\"../../../plot_api/edit_types\":548,\"../../cartesian/layout_attributes\":579}],610:[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\":515,\"../../../plot_api/plot_template\":555,\"../../cartesian/axis_defaults\":568,\"../../cartesian/type_defaults\":591,\"./axis_attributes\":609,tinycolor2:313}],611:[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\":515,\"../../../lib/str2rgbarray\":540}],612:[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\":367,\"../../../lib\":515,\"../../../registry\":647,\"../../get_data\":602,\"../../subplot_defaults\":641,\"./axis_defaults\":610,\"./layout_attributes\":613}],613:[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\":515,\"../../../lib/extend\":505,\"../../domain\":593,\"./axis_attributes\":609}],614:[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\":540}],615:[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\":515,\"../../cartesian/axes\":566}],616:[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])))}},{}],617:[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\":1133,\"../../components/fx\":407,\"../../lib\":515,\"../../lib/show_no_webgl_msg\":537,\"../../lib/str2rgbarray\":540,\"../../plots/cartesian/axes\":566,\"../../registry\":647,\"./layout/convert\":611,\"./layout/spikes\":614,\"./layout/tick_marks\":615,\"./project\":616,\"has-passive-events\":229,\"webgl-context\":332}],618:[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}},{}],619:[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(\"../components/selections/draw_newselection/attributes\"),l=t(\"./pad_attributes\"),c=t(\"../lib/extend\").extendFlat,u=n({editType:\"calc\"});u.family.dflt='\"Open Sans\", verdana, arial, sans-serif',u.size.dflt=12,u.color.dflt=a.defaultLine,e.exports={font:u,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:c(l({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\"},minreducedwidth:{valType:\"number\",min:2,dflt:64,editType:\"plot\"},minreducedheight:{valType:\"number\",min:2,dflt:64,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,newselection:s.newselection,activeselection:s.activeselection,meta:{valType:\"any\",arrayOk:!0,editType:\"plot\"},transition:c({},i.transition,{editType:\"none\"}),_deprecated:{title:{valType:\"string\",editType:\"layoutstyle\"},titlefont:n({editType:\"layoutstyle\"})}}},{\"../components/color/attributes\":366,\"../components/selections/draw_newselection/attributes\":451,\"../components/shapes/draw_newshape/attributes\":463,\"../lib/extend\":505,\"./animation_attributes\":560,\"./font_attributes\":594,\"./pad_attributes\":627}],620:[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 tiles by <a target=\"_blank\" href=\"https://stamen.com\">Stamen Design</a>','under <a target=\"_blank\" href=\"https://creativecommons.org/licenses/by/3.0\">CC BY 3.0</a>',\"|\",'Data by <a target=\"_blank\" href=\"https://openstreetmap.org\">OpenStreetMap</a> contributors','under <a target=\"_blank\" href=\"https://creativecommons.org/licenses/by-sa/3.0\">CC BY SA</a>'].join(\" \"),tiles:[\"https://stamen-tiles.a.ssl.fastly.net/watercolor/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-stamen-watercolor\",type:\"raster\",source:\"plotly-stamen-watercolor\",minzoom:0,maxzoom:22}]}},l=n(s);e.exports={requiredVersion:\"1.10.1\",styleUrlPrefix:\"mapbox://styles/mapbox/\",styleUrlSuffix:\"v9\",styleValuesMapbox:[\"basic\",\"streets\",\"outdoors\",\"light\",\"dark\",\"satellite\",\"satellite-streets\"],styleValueDflt:\"basic\",stylesNonMapbox:s,styleValuesNonMapbox:l,traceLayerPrefix:\"plotly-trace-layer-\",layoutLayerPrefix:\"plotly-layout-layer-\",wrongVersionErrorMsg:[\"Your 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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\":389,\"../../constants/xmlns_namespaces\":492,\"../../lib\":515,\"../../lib/svg_text_utils\":541,\"../../plots/get_data\":602,\"./constants\":620,\"./layout_attributes\":624,\"./layout_defaults\":625,\"./mapbox\":626,\"@plotly/d3\":58,\"mapbox-gl/dist/mapbox-gl-unminified\":239}],623:[function(t,e,r){\"use strict\";var 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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\":515,\"../../lib/svg_text_utils\":541,\"./constants\":620,\"./convert_text_opts\":621}],624:[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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n=t(\"mapbox-gl/dist/mapbox-gl-unminified\"),i=t(\"../../lib\"),a=t(\"../../lib/geo_location_utils\"),o=t(\"../../registry\"),s=t(\"../cartesian/axes\"),l=t(\"../../components/dragelement\"),c=t(\"../../components/fx\"),u=t(\"../../components/dragelement/helpers\"),f=u.drawMode,h=u.selectMode,p=t(\"../../components/selections\").prepSelect,d=t(\"../../components/selections\").clearOutline,m=t(\"../../components/selections\").clearSelectionsCache,g=t(\"../../components/selections\").selectOnClick,v=t(\"./constants\"),y=t(\"./layers\");function x(t,e){this.id=e,this.gd=t;var r=t._fullLayout,n=t._context;this.container=r._glcontainer.node(),this.isStatic=n.staticPlot,this.uid=r._uid+\"-\"+this.id,this.div=null,this.xaxis=null,this.yaxis=null,this.createFramework(r),this.map=null,this.accessToken=null,this.styleObj=null,this.traceHash={},this.layerList=[],this.belowLookup={},this.dragging=!1,this.wheeling=!1}var b=x.prototype;b.plot=function(t,e,r){var n,i=this,a=e[i.id];i.map&&a.accesstoken!==i.accessToken&&(i.map.remove(),i.map=null,i.styleObj=null,i.traceHash={},i.layerList=[]),n=i.map?new Promise((function(r,n){i.updateMap(t,e,r,n)})):new Promise((function(r,n){i.createMap(t,e,r,n)})),r.push(n)},b.createMap=function(t,e,r,i){var o=this,s=e[o.id],l=o.styleObj=w(s.style);o.accessToken=s.accesstoken;var c=s.bounds,u=c?[[c.west,c.south],[c.east,c.north]]:null,f=o.map=new n.Map({container:o.div,style:l.style,center:k(s.center),zoom:s.zoom,bearing:s.bearing,pitch:s.pitch,maxBounds:u,interactive:!o.isStatic,preserveDrawingBuffer:o.isStatic,doubleClickZoom:!1,boxZoom:!1,attributionControl:!1}).addControl(new n.AttributionControl({compact:!0}));f._canvas.style.left=\"0px\",f._canvas.style.top=\"0px\",o.rejectOnError(i),o.isStatic||o.initFx(t,e);var h=[];h.push(new 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u,f,h={};for(u in a)h[n=a[u]]?h[n].push(u):h[n]=[u];for(n in h){var p=h[n];if(p.length>1)for(r=0;r<p.length;r++)0===(u=p[r]).indexOf(\"trace-\")?(f=u.split(\"trace-\")[1],this.traceHash[f]&&(this.traceHash[f].below=null)):0===u.indexOf(\"layout-\")&&(f=u.split(\"layout-\")[1],this.layerList[f]&&(this.layerList[f].below=null))}};var _={choroplethmapbox:0,densitymapbox:1,scattermapbox:2};function w(t){var e={};return i.isPlainObject(t)?(e.id=t.id,e.style=t):\"string\"==typeof t?(e.id=t,-1!==v.styleValuesMapbox.indexOf(t)?e.style=T(t):v.stylesNonMapbox[t]?e.style=v.stylesNonMapbox[t]:e.style=t):(e.id=v.styleValueDflt,e.style=T(v.styleValueDflt)),e.transition={duration:0,delay:0},e}function T(t){return v.styleUrlPrefix+t+\"-\"+v.styleUrlSuffix}function k(t){return[t.lon,t.lat]}b.updateData=function(t){var e,r,n,i,a=this.traceHash,o=t.slice().sort((function(t,e){return _[t[0].trace.type]-_[e[0].trace.type]}));for(n=0;n<o.length;n++){var s=o[n],l=!1;(e=a[(r=s[0].trace).uid])&&(e.type===r.type?(e.update(s),l=!0):e.dispose()),!l&&r._module&&(a[r.uid]=r._module.plot(this,s))}var c=Object.keys(a);t:for(n=0;n<c.length;n++){var u=c[n];for(i=0;i<t.length;i++)if(u===(r=t[i][0].trace).uid)continue t;(e=a[u]).dispose(),delete a[u]}},b.updateLayout=function(t){var e=this.map,r=t[this.id];this.dragging||this.wheeling||(e.setCenter(k(r.center)),e.setZoom(r.zoom),e.setBearing(r.bearing),e.setPitch(r.pitch)),this.updateLayers(t),this.updateFramework(t),this.updateFx(t),this.map.resize(),this.gd._context._scrollZoom.mapbox?e.scrollZoom.enable():e.scrollZoom.disable()},b.resolveOnRender=function(t){var e=this.map;e.on(\"render\",(function r(){e.loaded()&&(e.off(\"render\",r),setTimeout(t,10))}))},b.rejectOnError=function(t){var e=this.map;function r(){t(new 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n=t(\"@plotly/d3\"),i=t(\"tinycolor2\"),a=t(\"../../registry\"),o=t(\"../../lib\"),s=o.strRotate,l=o.strTranslate,c=t(\"../../components/color\"),u=t(\"../../components/drawing\"),f=t(\"../plots\"),h=t(\"../../plots/cartesian/axes\"),p=t(\"../cartesian/set_convert\"),d=t(\"./set_convert\"),m=t(\"../cartesian/autorange\").doAutoRange,g=t(\"../cartesian/dragbox\"),v=t(\"../../components/dragelement\"),y=t(\"../../components/fx\"),x=t(\"../../components/titles\"),b=t(\"../../components/selections\").prepSelect,_=t(\"../../components/selections\").selectOnClick,w=t(\"../../components/selections\").clearOutline,T=t(\"../../lib/setcursor\"),k=t(\"../../lib/clear_gl_canvases\"),A=t(\"../../plot_api/subroutines\").redrawReglTraces,M=t(\"../../constants/alignment\").MID_SHIFT,S=t(\"./constants\"),E=t(\"./helpers\"),L=t(\"../smith/helpers\"),C=L.smith,P=L.reactanceArc,I=L.resistanceArc,O=L.smithTransform,z=o._,D=o.mod,R=o.deg2rad,F=o.rad2deg;function B(t,e,r){this.isSmith=r||!1,this.id=e,this.gd=t,this._hasClipOnAxisFalse=null,this.vangles=null,this.radialAxisAngle=null,this.traceHash={},this.layers={},this.clipPaths={},this.clipIds={},this.viewInitial={};var n=t._fullLayout,i=\"clip\"+n._uid+e;this.clipIds.forTraces=i+\"-for-traces\",this.clipPaths.forTraces=n._clips.append(\"clipPath\").attr(\"id\",this.clipIds.forTraces),this.clipPaths.forTraces.append(\"path\"),this.framework=n[\"_\"+(r?\"smith\":\"polar\")+\"layer\"].append(\"g\").attr(\"class\",e),this.getHole=function(t){return this.isSmith?0:t.hole},this.getSector=function(t){return this.isSmith?[0,360]:t.sector},this.getRadial=function(t){return this.isSmith?t.realaxis:t.radialaxis},this.getAngular=function(t){return this.isSmith?t.imaginaryaxis:t.angularaxis},r||(this.radialTickLayout=null,this.angularTickLayout=null)}var N=B.prototype;function j(t){var e=t.ticks+String(t.ticklen)+String(t.showticklabels);return\"side\"in t&&(e+=t.side),e}function U(t,e){return 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n=t(\"../../components/color/attributes\"),i=t(\"../domain\").attributes,a=t(\"../cartesian/layout_attributes\"),o=t(\"../../plot_api/edit_types\").overrideAll,s=t(\"../../lib/extend\").extendFlat,l={title:{text:a.title.text,font:a.title.font},color:a.color,tickmode:a.tickmode,nticks:s({},a.nticks,{dflt:6,min:1}),tick0:a.tick0,dtick:a.dtick,tickvals:a.tickvals,ticktext:a.ticktext,ticks:a.ticks,ticklen:a.ticklen,tickwidth:a.tickwidth,tickcolor:a.tickcolor,ticklabelstep:a.ticklabelstep,showticklabels:a.showticklabels,showtickprefix:a.showtickprefix,tickprefix:a.tickprefix,showticksuffix:a.showticksuffix,ticksuffix:a.ticksuffix,showexponent:a.showexponent,exponentformat:a.exponentformat,minexponent:a.minexponent,separatethousands:a.separatethousands,tickfont:a.tickfont,tickangle:a.tickangle,tickformat:a.tickformat,tickformatstops:a.tickformatstops,hoverformat:a.hoverformat,showline:s({},a.showline,{dflt:!0}),linecolor:a.linecolor,linewidth:a.linewidth,showgrid:s({},a.showgrid,{dflt:!0}),gridcolor:a.gridcolor,gridwidth:a.gridwidth,griddash:a.griddash,layer:a.layer,min:{valType:\"number\",dflt:0,min:0},_deprecated:{title:a._deprecated.title,titlefont:a._deprecated.titlefont}},c=e.exports=o({domain:i({name:\"ternary\"}),bgcolor:{valType:\"color\",dflt:n.background},sum:{valType:\"number\",dflt:1,min:0},aaxis:l,baxis:l,caxis:l},\"plot\",\"from-root\");c.uirevision={valType:\"any\",editType:\"none\"},c.aaxis.uirevision=c.baxis.uirevision=c.caxis.uirevision={valType:\"any\",editType:\"none\"}},{\"../../components/color/attributes\":366,\"../../lib/extend\":505,\"../../plot_api/edit_types\":548,\"../cartesian/layout_attributes\":579,\"../domain\":593}],645:[function(t,e,r){\"use 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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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n=t(\"../choropleth/attributes\"),i=t(\"../../components/colorscale/attributes\"),a=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../../plots/attributes\"),s=t(\"../../lib/extend\").extendFlat;e.exports=s({locations:{valType:\"data_array\",editType:\"calc\"},z:{valType:\"data_array\",editType:\"calc\"},geojson:{valType:\"any\",editType:\"calc\"},featureidkey:s({},n.featureidkey,{}),below:{valType:\"string\",editType:\"plot\"},text:n.text,hovertext:n.hovertext,marker:{line:{color:s({},n.marker.line.color,{editType:\"plot\"}),width:s({},n.marker.line.width,{editType:\"plot\"}),editType:\"calc\"},opacity:s({},n.marker.opacity,{editType:\"plot\"}),editType:\"calc\"},selected:{marker:{opacity:s({},n.selected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},unselected:{marker:{opacity:s({},n.unselected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},hoverinfo:n.hoverinfo,hovertemplate:a({},{keys:[\"properties\"]}),showlegend:s({},o.showlegend,{dflt:!1})},i(\"\",{cLetter:\"z\",editTypeOverride:\"calc\"}))},{\"../../components/colorscale/attributes\":374,\"../../lib/extend\":505,\"../../plots/attributes\":562,\"../../plots/template_attributes\":642,\"../choropleth/attributes\":725}],735:[function(t,e,r){\"use 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p,d,m,g=a.makeColorScaleFuncFromTrace(e),v=e.marker,y=v.line||{};i.isArrayOrTypedArray(v.opacity)&&(p=function(t){var e=t.mo;return n(e)?+i.constrain(e,0,1):0}),i.isArrayOrTypedArray(y.color)&&(d=function(t){return t.mlc}),i.isArrayOrTypedArray(y.width)&&(m=function(t){return t.mlw});for(var x=0;x<t.length;x++){var b=t[x],_=b.fOut;if(_){var w=_.properties;w.fc=g(b.z),p&&(w.mo=p(b)),d&&(w.mlc=d(b)),m&&(w.mlw=m(b)),b.ct=w.ct,b._polygons=l.feature2polygons(_)}}var T=p?{type:\"identity\",property:\"mo\"}:v.opacity;return i.extendFlat(o.paint,{\"fill-color\":{type:\"identity\",property:\"fc\"},\"fill-opacity\":T}),i.extendFlat(u.paint,{\"line-color\":d?{type:\"identity\",property:\"mlc\"}:y.color,\"line-width\":m?{type:\"identity\",property:\"mlw\"}:y.width,\"line-opacity\":T}),o.layout.visibility=\"visible\",u.layout.visibility=\"visible\",f.geojson={type:\"FeatureCollection\",features:h},c(t),f},convertOnSelect:c}},{\"../../components/colorscale\":379,\"../../components/drawing\":389,\"../../lib\":515,\"../../lib/geo_location_utils\":508,\"../../lib/geojson_utils\":509,\"fast-isnumeric\":190}],736:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/colorscale/defaults\"),a=t(\"./attributes\");e.exports=function(t,e,r,o){function s(r,i){return n.coerce(t,e,a,r,i)}var l=s(\"locations\"),c=s(\"z\"),u=s(\"geojson\");n.isArrayOrTypedArray(l)&&l.length&&n.isArrayOrTypedArray(c)&&c.length&&(\"string\"==typeof 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n=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,a=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../mesh3d/attributes\"),s=t(\"../../plots/attributes\"),l=t(\"../../lib/extend\").extendFlat,c={x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},u:{valType:\"data_array\",editType:\"calc\"},v:{valType:\"data_array\",editType:\"calc\"},w:{valType:\"data_array\",editType:\"calc\"},sizemode:{valType:\"enumerated\",values:[\"scaled\",\"absolute\"],editType:\"calc\",dflt:\"scaled\"},sizeref:{valType:\"number\",editType:\"calc\",min:0},anchor:{valType:\"enumerated\",editType:\"calc\",values:[\"tip\",\"tail\",\"cm\",\"center\"],dflt:\"cm\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertemplate:a({editType:\"calc\"},{keys:[\"norm\"]}),uhoverformat:i(\"u\",1),vhoverformat:i(\"v\",1),whoverformat:i(\"w\",1),xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),zhoverformat:i(\"z\"),showlegend:l({},s.showlegend,{dflt:!1})};l(c,n(\"\",{colorAttr:\"u/v/w 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f={xaxis:0,yaxis:1,zaxis:2},h={tip:1,tail:0,cm:.25,center:.5},p={tip:1,tail:1,cm:.75,center:.5};function d(t,e){var r=t.fullSceneLayout,i=t.dataScale,c={};function u(t,e){var n=r[e],o=i[f[e]];return a(t,(function(t){return n.d2l(t)*o}))}c.vectors=l(u(e.u,\"xaxis\"),u(e.v,\"yaxis\"),u(e.w,\"zaxis\"),e._len),c.positions=l(u(e.x,\"xaxis\"),u(e.y,\"yaxis\"),u(e.z,\"zaxis\"),e._len);var d=s(e);c.colormap=o(e),c.vertexIntensityBounds=[d.min/e._normMax,d.max/e._normMax],c.coneOffset=h[e.anchor],\"scaled\"===e.sizemode?c.coneSize=e.sizeref||.5:c.coneSize=e.sizeref&&e._normMax?e.sizeref/e._normMax:.5;var m=n(c),g=e.lightposition;return m.lightPosition=[g.x,g.y,g.z],m.ambient=e.lighting.ambient,m.diffuse=e.lighting.diffuse,m.specular=e.lighting.specular,m.roughness=e.lighting.roughness,m.fresnel=e.lighting.fresnel,m.opacity=e.opacity,e._pad=p[e.anchor]*m.vectorScale*m.coneScale*e._normMax,m}u.update=function(t){this.data=t;var 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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\":377,\"./label_defaults\":759}],766:[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(\"../../components/colorscale/attributes\"),i=t(\"../../plots/template_attributes\").hovertemplateAttrs,a=t(\"../../plots/attributes\"),o=t(\"../scattermapbox/attributes\"),s=t(\"../../lib/extend\").extendFlat;e.exports=s({lon:o.lon,lat:o.lat,z:{valType:\"data_array\",editType:\"calc\"},radius:{valType:\"number\",editType:\"plot\",arrayOk:!0,min:1,dflt:30},below:{valType:\"string\",editType:\"plot\"},text:o.text,hovertext:o.hovertext,hoverinfo:s({},a.hoverinfo,{flags:[\"lon\",\"lat\",\"z\",\"text\",\"name\"]}),hovertemplate:i(),showlegend:s({},a.showlegend,{dflt:!1})},n(\"\",{cLetter:\"z\",editTypeOverride:\"calc\"}))},{\"../../components/colorscale/attributes\":374,\"../../lib/extend\":505,\"../../plots/attributes\":562,\"../../plots/template_attributes\":642,\"../scattermapbox/attributes\":1002}],772:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib\").isArrayOrTypedArray,a=t(\"../../constants/numerical\").BADNUM,o=t(\"../../components/colorscale/calc\"),s=t(\"../../lib\")._;e.exports=function(t,e){for(var r=e._length,l=new Array(r),c=e.z,u=i(c)&&c.length,f=0;f<r;f++){var h=l[f]={},p=e.lon[f],d=e.lat[f];if(h.lonlat=n(p)&&n(d)?[+p,+d]:[a,a],u){var m=c[f];h.z=n(m)?m:a}}return o(t,e,{vals:u?c:[0,1],containerStr:\"\",cLetter:\"z\"}),r&&(l[0].t={labels:{lat:s(t,\"lat:\")+\" \",lon:s(t,\"lon:\")+\" \"}}),l}},{\"../../components/colorscale/calc\":375,\"../../constants/numerical\":491,\"../../lib\":515,\"fast-isnumeric\":190}],773:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib\"),a=t(\"../../components/color\"),o=t(\"../../components/colorscale\"),s=t(\"../../constants/numerical\").BADNUM,l=t(\"../../lib/geojson_utils\").makeBlank;e.exports=function(t){var e=t[0].trace,r=!0===e.visible&&0!==e._length,c=e._opts={heatmap:{layout:{visibility:\"none\"},paint:{}},geojson:l()};if(!r)return c;var u,f=[],h=e.z,p=e.radius,d=i.isArrayOrTypedArray(h)&&h.length,m=i.isArrayOrTypedArray(p);for(u=0;u<t.length;u++){var g=t[u],v=g.lonlat;if(v[0]!==s){var y={};if(d){var x=g.z;y.z=x!==s?x:0}m&&(y.r=n(p[u])&&p[u]>0?+p[u]:0),f.push({type:\"Feature\",geometry:{type:\"Point\",coordinates:v},properties:y})}}var b=o.extractOpts(e),_=b.reversescale?o.flipScale(b.colorscale):b.colorscale,w=_[0][1],T=[\"interpolate\",[\"linear\"],[\"heatmap-density\"],0,a.opacity(w)<1?w:a.addOpacity(w,0)];for(u=1;u<_.length;u++)T.push(_[u][0],_[u][1]);var k=[\"interpolate\",[\"linear\"],[\"get\",\"z\"],b.min,0,b.max,1];return i.extendFlat(c.heatmap.paint,{\"heatmap-weight\":d?k:1/(b.max-b.min),\"heatmap-color\":T,\"heatmap-radius\":m?{type:\"identity\",property:\"r\"}:e.radius,\"heatmap-opacity\":e.opacity}),c.geojson={type:\"FeatureCollection\",features:f},c.heatmap.layout.visibility=\"visible\",c}},{\"../../components/color\":367,\"../../components/colorscale\":379,\"../../constants/numerical\":491,\"../../lib\":515,\"../../lib/geojson_utils\":509,\"fast-isnumeric\":190}],774:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/colorscale/defaults\"),a=t(\"./attributes\");e.exports=function(t,e,r,o){function s(r,i){return n.coerce(t,e,a,r,i)}var l=s(\"lon\")||[],c=s(\"lat\")||[],u=Math.min(l.length,c.length);u?(e._length=u,s(\"z\"),s(\"radius\"),s(\"below\"),s(\"text\"),s(\"hovertext\"),s(\"hovertemplate\"),i(t,e,o,s,{prefix:\"\",cLetter:\"z\"})):e.visible=!1}},{\"../../components/colorscale/defaults\":377,\"../../lib\":515,\"./attributes\":771}],775:[function(t,e,r){\"use 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a&&-1===a.indexOf(\"plotly-\"))return a}},moduleType:\"trace\",name:\"densitymapbox\",basePlotModule:t(\"../../plots/mapbox\"),categories:[\"mapbox\",\"gl\",\"showLegend\"],meta:{hr_name:\"density_mapbox\"}}},{\"../../plots/mapbox\":622,\"../heatmap/colorbar\":804,\"../scattermapbox/format_labels\":1006,\"./attributes\":771,\"./calc\":772,\"./defaults\":774,\"./event_data\":775,\"./hover\":776,\"./plot\":778}],778:[function(t,e,r){\"use strict\";var n=t(\"./convert\"),i=t(\"../../plots/mapbox/constants\").traceLayerPrefix;function a(t,e){this.type=\"densitymapbox\",this.subplot=t,this.uid=e,this.sourceId=\"source-\"+e,this.layerList=[[\"heatmap\",i+e+\"-heatmap\"]],this.below=null}var o=a.prototype;o.update=function(t){var e=this.subplot,r=this.layerList,i=n(t),a=e.belowLookup[\"trace-\"+this.uid];e.map.getSource(this.sourceId).setData(i.geojson),a!==this.below&&(this._removeLayers(),this._addLayers(i,a),this.below=a);for(var o=0;o<r.length;o++){var 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t=i.numbersScaler(h);D+=t[2];var e,r=S(m,\"numbersScale\",1,t[0],D,Math.min);m._scaleNumbers||(r=1),e=m._isAngular?v-r*h.bottom:v-r*(h.top+h.bottom)/2,m._numbersTop=r*h.top+e;var n=h[T];\"center\"===T&&(n=(h.left+h.right)/2);var a=g-r*n;return a=S(m,\"numbersTranslate\",0,a,D,Math.max),l(a,e)+s(r)}))}(t,O,e,{numbersX:m,numbersY:E,numbersScaler:L,transitionOpts:r,onComplete:g}),z&&(C={range:I.gauge.axis.range,color:I.gauge.bgcolor,line:{color:I.gauge.bordercolor,width:0},thickness:1},P={range:I.gauge.axis.range,color:\"rgba(0, 0, 0, 0)\",line:{color:I.gauge.bordercolor,width:I.gauge.borderwidth},thickness:1});var Y=O.selectAll(\"g.angular\").data(D?e:[]);Y.exit().remove();var W=O.selectAll(\"g.angularaxis\").data(D?e:[]);W.exit().remove(),D&&function(t,e,r,a){var o,s,f,h,p=r[0].trace,m=a.size,g=a.radius,v=a.innerRadius,y=a.gaugeBg,x=a.gaugeOutline,b=[m.l+m.w/2,m.t+m.h/2+g/2],_=a.gauge,A=a.layer,M=a.transitionOpts,S=a.onComplete,E=Math.PI/2;function L(t){var e=p.gauge.axis.range[0],r=(t-e)/(p.gauge.axis.range[1]-e)*Math.PI-E;return r<-E?-E:r>E?E:r}function C(t){return n.svg.arc().innerRadius((v+g)/2-t/2*(g-v)).outerRadius((v+g)/2+t/2*(g-v)).startAngle(-E)}function P(t){t.attr(\"d\",(function(t){return C(t.thickness).startAngle(L(t.range[0])).endAngle(L(t.range[1]))()}))}_.enter().append(\"g\").classed(\"angular\",!0),_.attr(\"transform\",l(b[0],b[1])),A.enter().append(\"g\").classed(\"angularaxis\",!0).classed(\"crisp\",!0),A.selectAll(\"g.xangularaxistick,path,text\").remove(),(o=k(t,p.gauge.axis)).type=\"linear\",o.range=p.gauge.axis.range,o._id=\"xangularaxis\",o.ticklabeloverflow=\"allow\",o.setScale();var I=function(t){return(o.range[0]-t.x)/(o.range[1]-o.range[0])*Math.PI+Math.PI},O={},z=d.makeLabelFns(o,0).labelStandoff;O.xFn=function(t){var e=I(t);return Math.cos(e)*z},O.yFn=function(t){var e=I(t),r=Math.sin(e)>0?.2:1;return-Math.sin(e)*(z+t.fontSize*r)+Math.abs(Math.cos(e))*(t.fontSize*u)},O.anchorFn=function(t){var e=I(t),r=Math.cos(e);return Math.abs(r)<.1?\"middle\":r>0?\"start\":\"end\"},O.heightFn=function(t,e,r){var n=I(t);return-.5*(1+Math.sin(n))*r};var D=function(t){return l(b[0]+g*Math.cos(t),b[1]-g*Math.sin(t))};f=function(t){return D(I(t))};if(s=d.calcTicks(o),h=d.getTickSigns(o)[2],o.visible){h=\"inside\"===o.ticks?-1:1;var R=(o.linewidth||1)/2;d.drawTicks(t,o,{vals:s,layer:A,path:\"M\"+h*R+\",0h\"+h*o.ticklen,transFn:function(t){var e=I(t);return D(e)+\"rotate(\"+-c(e)+\")\"}}),d.drawLabels(t,o,{vals:s,layer:A,transFn:f,labelFns:O})}var F=[y].concat(p.gauge.steps),B=_.selectAll(\"g.bg-arc\").data(F);B.enter().append(\"g\").classed(\"bg-arc\",!0).append(\"path\"),B.select(\"path\").call(P).call(T),B.exit().remove();var N=C(p.gauge.bar.thickness),j=_.selectAll(\"g.value-arc\").data([p.gauge.bar]);j.enter().append(\"g\").classed(\"value-arc\",!0).append(\"path\");var U=j.select(\"path\");w(M)?(U.transition().duration(M.duration).ease(M.easing).each(\"end\",(function(){S&&S()})).each(\"interrupt\",(function(){S&&S()})).attrTween(\"d\",(V=N,H=L(r[0].lastY),q=L(r[0].y),function(){var t=i(H,q);return function(e){return V.endAngle(t(e))()}})),p._lastValue=r[0].y):U.attr(\"d\",\"number\"==typeof r[0].y?N.endAngle(L(r[0].y)):\"M0,0Z\");var V,H,q;U.call(T),j.exit().remove(),F=[];var G=p.gauge.threshold.value;(G||0===G)&&F.push({range:[G,G],color:p.gauge.threshold.color,line:{color:p.gauge.threshold.line.color,width:p.gauge.threshold.line.width},thickness:p.gauge.threshold.thickness});var Y=_.selectAll(\"g.threshold-arc\").data(F);Y.enter().append(\"g\").classed(\"threshold-arc\",!0).append(\"path\"),Y.select(\"path\").call(P).call(T),Y.exit().remove();var 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 Z=O.selectAll(\"g.bullet\").data(R?e:[]);Z.exit().remove();var X=O.selectAll(\"g.bulletaxis\").data(R?e:[]);X.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 I=f.selectAll(\"g.value-bullet\").data([u.gauge.bar]);I.enter().append(\"g\").classed(\"value-bullet\",!0).append(\"rect\"),I.select(\"rect\").attr(\"height\",M).attr(\"y\",(A-M)/2).call(T),w(b)?I.select(\"rect\").transition().duration(b.duration).ease(b.easing).each(\"end\",(function(){_&&_()})).each(\"interrupt\",(function(){_&&_()})).attr(\"width\",Math.max(0,i.c2p(Math.min(u.gauge.axis.range[1],r[0].y)))):I.select(\"rect\").attr(\"width\",\"number\"==typeof r[0].y?Math.max(0,i.c2p(Math.min(u.gauge.axis.range[1],r[0].y))):0);I.exit().remove();var O=r.filter((function(){return u.gauge.threshold.value||0===u.gauge.threshold.value})),z=f.selectAll(\"g.threshold-bullet\").data(O);z.enter().append(\"g\").classed(\"threshold-bullet\",!0).append(\"line\"),z.select(\"line\").attr(\"x1\",i.c2p(u.gauge.threshold.value)).attr(\"x2\",i.c2p(u.gauge.threshold.value)).attr(\"y1\",(1-u.gauge.threshold.thickness)/2*A).attr(\"y2\",(1-(1-u.gauge.threshold.thickness)/2)*A).call(y.stroke,u.gauge.threshold.line.color).style(\"stroke-width\",u.gauge.threshold.line.width),z.exit().remove();var D=f.selectAll(\"g.gauge-outline\").data([g]);D.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"rect\"),D.select(\"rect\").call(L).call(T),D.exit().remove()}(t,0,e,{gauge:Z,layer:X,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:g});var J=O.selectAll(\"text.title\").data(e);J.exit().remove(),J.enter().append(\"text\").classed(\"title\",!0),J.attr(\"text-anchor\",(function(){return R?x.right:x[I.title.align]})).text(I.title.text).call(f.font,I.title.font).call(p.convertToTspans,t),J.attr(\"transform\",(function(){var t,e=B.l+B.w*b[I.title.align],r=h.titlePadding,n=f.bBox(J.node());if(z){if(D)if(I.gauge.axis.visible)t=f.bBox(W.node()).top-r-n.bottom;else t=B.t+B.h/2-U/2-n.bottom-r;R&&(t=E-(n.top+n.bottom)/2,e=B.l-h.bulletPadding*B.w)}else t=I._numbersTop-r-n.bottom;return l(e,t)}))}))}},{\"../../components/color\":367,\"../../components/drawing\":389,\"../../constants/alignment\":483,\"../../lib\":515,\"../../lib/svg_text_utils\":541,\"../../plots/cartesian/axes\":566,\"../../plots/cartesian/axis_defaults\":568,\"../../plots/cartesian/layout_attributes\":579,\"../../plots/cartesian/position_defaults\":582,\"./constants\":867,\"@plotly/d3\":58,\"d3-interpolate\":116}],871:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,a=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../mesh3d/attributes\"),s=t(\"../../plots/attributes\"),l=t(\"../../lib/extend\").extendFlat,c=t(\"../../plot_api/edit_types\").overrideAll;var 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0===e.isomax||null===e.isomin?s:e.isomax,n(t,e,{vals:[e._vMin,e._vMax],containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":375,\"../streamtube/calc\":1054}],873:[function(t,e,r){\"use strict\";var n=t(\"../../../stackgl_modules\").gl_mesh3d,i=t(\"../../lib/gl_format_color\").parseColorScale,a=t(\"../../lib/str2rgbarray\"),o=t(\"../../components/colorscale\").extractOpts,s=t(\"../../plots/gl3d/zip3\"),l=function(t,e){for(var r=e.length-1;r>0;r--){var n=Math.min(e[r],e[r-1]),i=Math.max(e[r],e[r-1]);if(i>n&&n<t&&t<=i)return{id:r,distRatio:(i-t)/(i-n)}}return{id:0,distRatio:0}};function c(t,e,r){this.scene=t,this.uid=r,this.mesh=e,this.name=\"\",this.data=null,this.showContour=!1}var u=c.prototype;u.handlePick=function(t){if(t.object===this.mesh){var e=t.data.index,r=this.data._meshX[e],n=this.data._meshY[e],i=this.data._meshZ[e],a=this.data._Ys.length,o=this.data._Zs.length,s=l(r,this.data._Xs).id,c=l(n,this.data._Ys).id,u=l(i,this.data._Zs).id,f=t.index=u+o*c+o*a*s;t.traceCoordinate=[this.data._meshX[f],this.data._meshY[f],this.data._meshZ[f],this.data._value[f]];var h=this.data.hovertext||this.data.text;return Array.isArray(h)&&void 0!==h[f]?t.textLabel=h[f]:h&&(t.textLabel=h),!0}},u.update=function(t){var e=this.scene,r=e.fullSceneLayout;function n(t,e,r,n){return e.map((function(e){return t.d2l(e,0,n)*r}))}this.data=h(t);var l={positions:s(n(r.xaxis,t._meshX,e.dataScale[0],t.xcalendar),n(r.yaxis,t._meshY,e.dataScale[1],t.ycalendar),n(r.zaxis,t._meshZ,e.dataScale[2],t.zcalendar)),cells:s(t._meshI,t._meshJ,t._meshK),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:a(t.contour.color).slice(0,3),contourWidth:t.contour.width,useFacetNormals:t.flatshading},c=o(t);l.vertexIntensity=t._meshIntensity,l.vertexIntensityBounds=[c.min,c.max],l.colormap=i(t),this.mesh.update(l)},u.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()};var f=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"];function h(t){t._meshI=[],t._meshJ=[],t._meshK=[];var 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s=o[0];i(t,s,r,a)}},r.clean=function(t,e,r,n){var i=n._has&&n._has(\"parcats\"),a=e._has&&e._has(\"parcats\");i&&!a&&n._paperdiv.selectAll(\".parcats\").remove()}},{\"../../plots/get_data\":602,\"./plot\":896}],892:[function(t,e,r){\"use strict\";var n=t(\"../../lib/gup\").wrap,i=t(\"../../components/colorscale/helpers\").hasColorscale,a=t(\"../../components/colorscale/calc\"),o=t(\"../../lib/filter_unique.js\"),s=t(\"../../components/drawing\"),l=t(\"../../lib\"),c=t(\"fast-isnumeric\");function u(t,e,r){t.valueInds.push(e),t.count+=r}function f(t,e,r){return{categoryInds:t,color:e,rawColor:r,valueInds:[],count:0}}function h(t,e,r){t.valueInds.push(e),t.count+=r}e.exports=function(t,e){var r=l.filterVisible(e.dimensions);if(0===r.length)return[];var p,d,m,g=r.map((function(t){var e;if(\"trace\"===t.categoryorder)e=null;else if(\"array\"===t.categoryorder)e=t.categoryarray;else{e=o(t.values);for(var r=!0,n=0;n<e.length;n++)if(!c(e[n])){r=!1;break}e.sort(r?l.sorterAsc:void 0),\"category 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r=t._ticktext.length;r<e.uniqueValues.length;r++)t._ticktext.push(e.uniqueValues[r])}(t,g[e])}));var v,y=e.line;y?(i(e,\"line\")&&a(t,e,{vals:e.line.color,containerStr:\"line\",cLetter:\"c\"}),v=s.tryColorscale(y)):v=l.identity;var x,b,_,w,T,k=r[0].values.length,A={},M=g.map((function(t){return t.inds}));for(m=0,x=0;x<k;x++){var S=[];for(b=0;b<M.length;b++)S.push(M[b][x]);d=p[x%p.length],m+=d;var E=(_=x,w=void 0,T=void 0,l.isArrayOrTypedArray(y.color)?T=w=y.color[_%y.color.length]:w=y.color,{color:v(w),rawColor:T}),L=S+\"-\"+E.rawColor;void 0===A[L]&&(A[L]=f(S,E.color,E.rawColor)),h(A[L],x,d)}var C,P=r.map((function(t,e){return function(t,e,r,n,i){return{dimensionInd:t,containerInd:e,displayInd:r,dimensionLabel:n,count:i,categories:[],dragX:null}}(e,t._index,t._displayindex,t.label,m)}));for(x=0;x<k;x++)for(d=p[x%p.length],b=0;b<P.length;b++){var I=P[b].containerInd,O=g[b].inds[x],z=P[b].categories;if(void 0===z[O]){var D=e.dimensions[I]._categoryarray[O],R=e.dimensions[I]._ticktext[O];z[O]={dimensionInd:b,categoryInd:C=O,categoryValue:D,displayInd:C,categoryLabel:R,valueInds:[],count:0,dragY:null}}u(z[O],x,d)}return n(function(t,e,r){var n=t.map((function(t){return t.categories.length})).reduce((function(t,e){return Math.max(t,e)}));return{dimensions:t,paths:e,trace:void 0,maxCats:n,count:r}}(P,A,m))}},{\"../../components/colorscale/calc\":375,\"../../components/colorscale/helpers\":378,\"../../components/drawing\":389,\"../../lib\":515,\"../../lib/filter_unique.js\":506,\"../../lib/gup\":512,\"fast-isnumeric\":190}],893:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/colorscale/helpers\").hasColorscale,a=t(\"../../components/colorscale/defaults\"),o=t(\"../../plots/domain\").defaults,s=t(\"../../plots/array_container_defaults\"),l=t(\"./attributes\"),c=t(\"../parcoords/merge_length\");function u(t,e){function r(r,i){return n.coerce(t,e,l.dimensions,r,i)}var i=r(\"values\"),a=r(\"visible\");if(i&&i.length||(a=e.visible=!1),a){r(\"label\"),r(\"displayindex\",e._index);var o,s=t.categoryarray,c=Array.isArray(s)&&s.length>0;c&&(o=\"array\");var u=r(\"categoryorder\",o);\"array\"===u?(r(\"categoryarray\"),r(\"ticktext\")):(delete t.categoryarray,delete t.ticktext),c||\"array\"!==u||(e.categoryorder=\"trace\")}}e.exports=function(t,e,r,f){function h(r,i){return n.coerce(t,e,l,r,i)}var p=s(t,e,{name:\"dimensions\",handleItemDefaults:u}),d=function(t,e,r,o,s){s(\"line.shape\"),s(\"line.hovertemplate\");var l=s(\"line.color\",o.colorway[0]);if(i(t,\"line\")&&n.isArrayOrTypedArray(l)){if(l.length)return s(\"line.colorscale\"),a(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,f,h);o(e,f,h),Array.isArray(p)&&p.length||(e.visible=!1),c(e,p,\"values\",d),h(\"hoveron\"),h(\"hovertemplate\"),h(\"arrangement\"),h(\"bundlecolors\"),h(\"sortpaths\"),h(\"counts\");var m={family:f.font.family,size:Math.round(f.font.size),color:f.font.color};n.coerceFont(h,\"labelfont\",m);var g={family:f.font.family,size:Math.round(f.font.size/1.2),color:f.font.color};n.coerceFont(h,\"tickfont\",g)}},{\"../../components/colorscale/defaults\":377,\"../../components/colorscale/helpers\":378,\"../../lib\":515,\"../../plots/array_container_defaults\":561,\"../../plots/domain\":593,\"../parcoords/merge_length\":907,\"./attributes\":890}],894:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),calc:t(\"./calc\"),plot:t(\"./plot\"),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcats\",basePlotModule:t(\"./base_plot\"),categories:[\"noOpacity\"],meta:{}}},{\"./attributes\":890,\"./base_plot\":891,\"./calc\":892,\"./defaults\":893,\"./plot\":896}],895:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"d3-interpolate\").interpolateNumber,a=t(\"../../plot_api/plot_api\"),o=t(\"../../components/fx\"),s=t(\"../../lib\"),l=s.strTranslate,c=t(\"../../components/drawing\"),u=t(\"tinycolor2\"),f=t(\"../../lib/svg_text_utils\");function h(t,e,r,i){var a=e._context.staticPlot,o=t.map(F.bind(0,e,r)),u=i.selectAll(\"g.parcatslayer\").data([null]);u.enter().append(\"g\").attr(\"class\",\"parcatslayer\").style(\"pointer-events\",a?\"none\":\"all\");var h=u.selectAll(\"g.trace.parcats\").data(o,p),y=h.enter().append(\"g\").attr(\"class\",\"trace parcats\");h.attr(\"transform\",(function(t){return l(t.x,t.y)})),y.append(\"g\").attr(\"class\",\"paths\");var x=h.select(\"g.paths\").selectAll(\"path.path\").data((function(t){return t.paths}),p);x.attr(\"fill\",(function(t){return t.model.color}));var w=x.enter().append(\"path\").attr(\"class\",\"path\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",0);_(w),x.attr(\"d\",(function(t){return t.svgD})),w.empty()||x.sort(m),x.exit().remove(),x.on(\"mouseover\",g).on(\"mouseout\",v).on(\"click\",b),y.append(\"g\").attr(\"class\",\"dimensions\");var A=h.select(\"g.dimensions\").selectAll(\"g.dimension\").data((function(t){return t.dimensions}),p);A.enter().append(\"g\").attr(\"class\",\"dimension\"),A.attr(\"transform\",(function(t){return l(t.x,0)})),A.exit().remove();var M=A.selectAll(\"g.category\").data((function(t){return t.categories}),p),S=M.enter().append(\"g\").attr(\"class\",\"category\");M.attr(\"transform\",(function(t){return l(0,t.y)})),S.append(\"rect\").attr(\"class\",\"catrect\").attr(\"pointer-events\",\"none\"),M.select(\"rect.catrect\").attr(\"fill\",\"none\").attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})),T(S);var E=M.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),p);E.each((function(){s.raiseToTop(this)})),E.attr(\"fill\",(function(t){return t.color}));var z=E.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);E.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})).attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"perpendicular\"===t.parcatsViewModel.arrangement?\"ns-resize\":\"move\"})),k(z),E.exit().remove(),S.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\");var D=e._fullLayout.paper_bgcolor;M.select(\"text.catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"alignment-baseline\",\"middle\").style(\"text-shadow\",f.makeTextShadow(D)).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)})),S.append(\"text\").attr(\"class\",\"dimlabel\"),M.select(\"text.dimlabel\").attr(\"text-anchor\",\"middle\").attr(\"alignment-baseline\",\"baseline\").attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"ew-resize\"})).attr(\"x\",(function(t){return t.width/2})).attr(\"y\",-5).text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){c.font(n.select(this),t.parcatsViewModel.labelfont)})),M.selectAll(\"rect.bandrect\").on(\"mouseover\",L).on(\"mouseout\",C),M.exit().remove(),A.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on(\"dragstart\",P).on(\"drag\",I).on(\"dragend\",O)),h.each((function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll(\"g.paths\").selectAll(\"path.path\"),t.dimensionSelection=n.select(this).selectAll(\"g.dimensions\").selectAll(\"g.dimension\")})),h.exit().remove()}function p(t){return t.key}function d(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function 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\", 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e=A(t);w(e),e.each((function(){s.raiseToTop(this)}))})),n.select(t.parentNode).select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",2.5)}(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 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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 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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 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e>=.9*t[1]+.1*t[0]?\"n\":e<=.9*t[0]+.1*t[1]?\"s\":\"ns\"}(d,e);m&&(o.interval=l[a],o.intervalPix=d,o.region=m)}}if(t.ordinal&&!o.region){var g=t.unitTickvals,y=t.unitToPaddedPx.invert(e);for(r=0;r<g.length;r++){var x=[.25*g[Math.max(r-1,0)]+.75*g[r],.25*g[Math.min(r+1,g.length-1)]+.75*g[r]];if(y>=x[0]&&y<=x[1]){o.clickableOrdinalRange=x;break}}}return o}function w(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.brush.svgBrush;a.wasDragged=!0,a._dragging=!0,a.grabbingBar?a.newExtent=[r-a.grabPoint,r+a.barLength-a.grabPoint].map(e.unitToPaddedPx.invert):a.newExtent=[a.startExtent,e.unitToPaddedPx.invert(r)].sort(s),e.brush.filterSpecified=!0,a.extent=a.stayingIntervals.concat([a.newExtent]),a.brushCallback(e),b(t.parentNode)}function T(t,e){var r=_(e,e.height-i.mouse(t)[1]-2*n.verticalPadding),a=\"crosshair\";r.clickableOrdinalRange?a=\"pointer\":r.region&&(a=r.region+\"-resize\"),i.select(document.body).style(\"cursor\",a)}function k(t){t.on(\"mousemove\",(function(t){i.event.preventDefault(),t.parent.inBrushDrag||T(this,t)})).on(\"mouseleave\",(function(t){t.parent.inBrushDrag||y()})).call(i.behavior.drag().on(\"dragstart\",(function(t){!function(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.unitToPaddedPx.invert(r),o=e.brush,s=_(e,r),l=s.interval,c=o.svgBrush;if(c.wasDragged=!1,c.grabbingBar=\"ns\"===s.region,c.grabbingBar){var u=l.map(e.unitToPaddedPx);c.grabPoint=r-u[0]-n.verticalPadding,c.barLength=u[1]-u[0]}c.clickableOrdinalRange=s.clickableOrdinalRange,c.stayingIntervals=e.multiselect&&o.filterSpecified?o.filter.getConsolidated():[],l&&(c.stayingIntervals=c.stayingIntervals.filter((function(t){return t[0]!==l[0]&&t[1]!==l[1]}))),c.startExtent=s.region?l[\"s\"===s.region?1:0]:a,e.parent.inBrushDrag=!0,c.brushStartCallback()}(this,t)})).on(\"drag\",(function(t){w(this,t)})).on(\"dragend\",(function(t){!function(t,e){var r=e.brush,n=r.filter,a=r.svgBrush;a._dragging||(T(t,e),w(t,e),e.brush.svgBrush.wasDragged=!1),a._dragging=!1,i.event.sourceEvent.stopPropagation();var o=a.grabbingBar;if(a.grabbingBar=!1,a.grabLocation=void 0,e.parent.inBrushDrag=!1,y(),!a.wasDragged)return a.wasDragged=void 0,a.clickableOrdinalRange?r.filterSpecified&&e.multiselect?a.extent.push(a.clickableOrdinalRange):(a.extent=[a.clickableOrdinalRange],r.filterSpecified=!0):o?(a.extent=a.stayingIntervals,0===a.extent.length&&M(r)):M(r),a.brushCallback(e),b(t.parentNode),void a.brushEndCallback(r.filterSpecified?n.getConsolidated():[]);var s=function(){n.set(n.getConsolidated())};if(e.ordinal){var l=e.unitTickvals;l[l.length-1]<l[0]&&l.reverse(),a.newExtent=[p(0,l,a.newExtent[0],a.stayingIntervals),p(1,l,a.newExtent[1],a.stayingIntervals)];var c=a.newExtent[1]>a.newExtent[0];a.extent=a.stayingIntervals.concat(c?[a.newExtent]:[]),a.extent.length||M(r),a.brushCallback(e),c?b(t.parentNode,s):(s(),b(t.parentNode))}else s();a.brushEndCallback(r.filterSpecified?n.getConsolidated():[])}(this,t)})))}function A(t,e){return t[0]-e[0]}function M(t){t.filterSpecified=!1,t.svgBrush.extent=[[-1/0,1/0]]}function S(t){for(var e,r=t.slice(),n=[],i=r.shift();i;){for(e=i.slice();(i=r.shift())&&i[0]<=e[1];)e[1]=Math.max(e[1],i[1]);n.push(e)}return 1===n.length&&n[0][0]>n[0][1]&&(n=[]),n}e.exports={makeBrush:function(t,e,r,n,i,a){var o,l=function(){var t,e,r=[];return{set:function(n){1===(r=n.map((function(t){return t.slice().sort(s)})).sort(A)).length&&r[0][0]===-1/0&&r[0][1]===1/0&&(r=[[0,-1]]),t=S(r),e=r.reduce((function(t,e){return[Math.min(t[0],e[0]),Math.max(t[1],e[1])]}),[1/0,-1/0])},get:function(){return r.slice()},getConsolidated:function(){return t},getBounds:function(){return e}}}();return l.set(r),{filter:l,filterSpecified:e,svgBrush:{extent:[],brushStartCallback:n,brushCallback:(o=i,function(t){var e=t.brush,r=function(t){return t.svgBrush.extent.map((function(t){return t.slice()}))}(e).slice();e.filter.set(r),o()}),brushEndCallback:a}}},ensureAxisBrush:function(t,e,r){var i=t.selectAll(\".\"+n.cn.axisBrush).data(o,a);i.enter().append(\"g\").classed(n.cn.axisBrush,!0),function(t,e,r){var i=r._context.staticPlot,a=t.selectAll(\".background\").data(o);a.enter().append(\"rect\").classed(\"background\",!0).call(d).call(m).style(\"pointer-events\",i?\"none\":\"auto\").attr(\"transform\",l(0,n.verticalPadding)),a.call(k).attr(\"height\",(function(t){return t.height-n.verticalPadding}));var s=t.selectAll(\".highlight-shadow\").data(o);s.enter().append(\"line\").classed(\"highlight-shadow\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width+n.bar.strokeWidth).attr(\"stroke\",e).attr(\"opacity\",n.bar.strokeOpacity).attr(\"stroke-linecap\",\"butt\"),s.attr(\"y1\",(function(t){return t.height})).call(x);var c=t.selectAll(\".highlight\").data(o);c.enter().append(\"line\").classed(\"highlight\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width-n.bar.strokeWidth).attr(\"stroke\",n.bar.fillColor).attr(\"opacity\",n.bar.fillOpacity).attr(\"stroke-linecap\",\"butt\"),c.attr(\"y1\",(function(t){return t.height})).call(x)}(i,e,r)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map((function(t){return t.sort(s)})),t=e.multiselect?S(t.sort(A)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map((function(t){var e=[p(0,r,t[0],[]),p(1,r,t[1],[])];if(e[1]>e[0])return e})).filter((function(t){return t}))).length)return}return t.length>1?t:t[0]}}},{\"../../lib\":515,\"../../lib/gup\":512,\"./constants\":902,\"@plotly/d3\":58}],899:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),calc:t(\"./calc\"),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcoords\",basePlotModule:t(\"./base_plot\"),categories:[\"gl\",\"regl\",\"noOpacity\",\"noHover\"],meta:{}}},{\"./attributes\":897,\"./base_plot\":900,\"./calc\":901,\"./defaults\":903}],900:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../plots/get_data\").getModuleCalcData,a=t(\"./plot\"),o=t(\"../../constants/xmlns_namespaces\");r.name=\"parcoords\",r.plot=function(t){var e=i(t.calcdata,\"parcoords\")[0];e.length&&a(t,e)},r.clean=function(t,e,r,n){var i=n._has&&n._has(\"parcoords\"),a=e._has&&e._has(\"parcoords\");i&&!a&&(n._paperdiv.selectAll(\".parcoords\").remove(),n._glimages.selectAll(\"*\").remove())},r.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(\".svg-container\");r.filter((function(t,e){return e===r.size()-1})).selectAll(\".gl-canvas-context, .gl-canvas-focus\").each((function(){var t=this.toDataURL(\"image/png\");e.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":t,preserveAspectRatio:\"none\",x:0,y:0,width:this.style.width,height:this.style.height})})),window.setTimeout((function(){n.selectAll(\"#filterBarPattern\").attr(\"id\",\"filterBarPattern\")}),60)}},{\"../../constants/xmlns_namespaces\":492,\"../../plots/get_data\":602,\"./plot\":909,\"@plotly/d3\":58}],901:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isArrayOrTypedArray,i=t(\"../../components/colorscale\"),a=t(\"../../lib/gup\").wrap;e.exports=function(t,e){var r,o;return i.hasColorscale(e,\"line\")&&n(e.line.color)?(r=e.line.color,o=i.extractOpts(e.line).colorscale,i.calc(t,e,{vals:r,containerStr:\"line\",cLetter:\"c\"})):(r=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=.5;return e}(e._length),o=[[0,e.line.color],[1,e.line.color]]),a({lineColor:r,cscale:o})}},{\"../../components/colorscale\":379,\"../../lib\":515,\"../../lib/gup\":512}],902:[function(t,e,r){\"use strict\";e.exports={maxDimensionCount:60,overdrag:45,verticalPadding:2,tickDistance:50,canvasPixelRatio:1,blockLineCount:5e3,layers:[\"contextLineLayer\",\"focusLineLayer\",\"pickLineLayer\"],axisTitleOffset:28,axisExtentOffset:10,bar:{width:4,captureWidth:10,fillColor:\"magenta\",fillOpacity:1,snapDuration:150,snapRatio:.25,snapClose:.01,strokeOpacity:1,strokeWidth:1,handleHeight:8,handleOpacity:1,handleOverlap:0},cn:{axisExtentText:\"axis-extent-text\",parcoordsLineLayers:\"parcoords-line-layers\",parcoordsLineLayer:\"parcoords-lines\",parcoords:\"parcoords\",parcoordsControlView:\"parcoords-control-view\",yAxis:\"y-axis\",axisOverlays:\"axis-overlays\",axis:\"axis\",axisHeading:\"axis-heading\",axisTitle:\"axis-title\",axisExtent:\"axis-extent\",axisExtentTop:\"axis-extent-top\",axisExtentTopText:\"axis-extent-top-text\",axisExtentBottom:\"axis-extent-bottom\",axisExtentBottomText:\"axis-extent-bottom-text\",axisBrush:\"axis-brush\"},id:{filterBarPattern:\"filter-bar-pattern\"}}},{}],903:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/colorscale/helpers\").hasColorscale,a=t(\"../../components/colorscale/defaults\"),o=t(\"../../plots/domain\").defaults,s=t(\"../../plots/array_container_defaults\"),l=t(\"../../plots/cartesian/axes\"),c=t(\"./attributes\"),u=t(\"./axisbrush\"),f=t(\"./constants\").maxDimensionCount,h=t(\"./merge_length\");function p(t,e,r,i){function a(r,i){return n.coerce(t,e,c.dimensions,r,i)}var o=a(\"values\"),s=a(\"visible\");if(o&&o.length||(s=e.visible=!1),s){a(\"label\"),a(\"tickvals\"),a(\"ticktext\"),a(\"tickformat\");var f=a(\"range\");e._ax={_id:\"y\",type:\"linear\",showexponent:\"all\",exponentformat:\"B\",range:f},l.setConvert(e._ax,i.layout),a(\"multiselect\");var h=a(\"constraintrange\");h&&(e.constraintrange=u.cleanRanges(h,e))}}e.exports=function(t,e,r,l){function u(r,i){return n.coerce(t,e,c,r,i)}var d=t.dimensions;Array.isArray(d)&&d.length>f&&(n.log(\"parcoords traces support up to \"+f+\" dimensions at the moment\"),d.splice(f));var m=s(t,e,{name:\"dimensions\",layout:l,handleItemDefaults:p}),g=function(t,e,r,o,s){var l=s(\"line.color\",r);if(i(t,\"line\")&&n.isArrayOrTypedArray(l)){if(l.length)return s(\"line.colorscale\"),a(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,l,u);o(e,l,u),Array.isArray(m)&&m.length||(e.visible=!1),h(e,m,\"values\",g);var v={family:l.font.family,size:Math.round(l.font.size/1.2),color:l.font.color};n.coerceFont(u,\"labelfont\",v),n.coerceFont(u,\"tickfont\",v),n.coerceFont(u,\"rangefont\",v),u(\"labelangle\"),u(\"labelside\"),u(\"unselected.line.color\"),u(\"unselected.line.opacity\")}},{\"../../components/colorscale/defaults\":377,\"../../components/colorscale/helpers\":378,\"../../lib\":515,\"../../plots/array_container_defaults\":561,\"../../plots/cartesian/axes\":566,\"../../plots/domain\":593,\"./attributes\":897,\"./axisbrush\":898,\"./constants\":902,\"./merge_length\":907}],904:[function(t,e,r){\"use strict\";var 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\":515}],905:[function(t,e,r){\"use strict\";var n=t(\"./base_index\");n.plot=t(\"./plot\"),e.exports=n},{\"./base_index\":899,\"./plot\":909}],906:[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 contextColor;\\nuniform sampler2D maskTexture, palette;\\n\\nbool isPick    = (drwLayer > 1.5);\\nbool isContext = (drwLayer < 0.5);\\n\\nconst vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\\nconst vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\\n\\nfloat val(mat4 p, mat4 v) {\\n    return dot(matrixCompMult(p, v) * UNITS, UNITS);\\n}\\n\\nfloat axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\\n    float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\\n    return y1 * (1.0 - ratio) + y2 * ratio;\\n}\\n\\nint iMod(int a, int b) {\\n    return a - b * (a / b);\\n}\\n\\nbool fOutside(float p, float lo, float hi) {\\n    return (lo < hi) && (lo > p || p > hi);\\n}\\n\\nbool vOutside(vec4 p, vec4 lo, vec4 hi) {\\n    return (\\n        fOutside(p[0], lo[0], hi[0]) ||\\n        fOutside(p[1], lo[1], hi[1]) ||\\n        fOutside(p[2], lo[2], hi[2]) ||\\n        fOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool mOutside(mat4 p, mat4 lo, mat4 hi) {\\n    return (\\n        vOutside(p[0], lo[0], hi[0]) ||\\n        vOutside(p[1], lo[1], hi[1]) ||\\n        vOutside(p[2], lo[2], hi[2]) ||\\n        vOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    return mOutside(A, loA, hiA) ||\\n           mOutside(B, loB, hiB) ||\\n           mOutside(C, loC, hiC) ||\\n           mOutside(D, loD, hiD);\\n}\\n\\nbool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    mat4 pnts[4];\\n    pnts[0] = A;\\n    pnts[1] = B;\\n    pnts[2] = C;\\n    pnts[3] = D;\\n\\n    for(int i = 0; i < 4; ++i) {\\n        for(int j = 0; j < 4; ++j) {\\n            for(int k = 0; k < 4; ++k) {\\n                if(0 == iMod(\\n                    int(255.0 * texture2D(maskTexture,\\n                        vec2(\\n                            (float(i * 2 + j / 2) + 0.5) / 8.0,\\n                            (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\\n                        ))[3]\\n                    ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\\n                    2\\n                )) return true;\\n            }\\n        }\\n    }\\n    return false;\\n}\\n\\nvec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float x = 0.5 * sign(v) + 0.5;\\n    float y = axisY(x, A, B, C, D);\\n    float z = 1.0 - abs(v);\\n\\n    z += isContext ? 0.0 : 2.0 * float(\\n        outsideBoundingBox(A, B, C, D) ||\\n        outsideRasterMask(A, B, C, D)\\n    );\\n\\n    return vec4(\\n        2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\\n        z,\\n        1.0\\n    );\\n}\\n\\nvoid main() {\\n    mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\\n    mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\\n    mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\\n    mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\\n\\n    float v = colors[3];\\n\\n    gl_Position = position(isContext, v, A, B, C, D);\\n\\n    fragColor =\\n        isContext ? vec4(contextColor) :\\n        isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\\n}\\n\"]),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n    gl_FragColor = fragColor;\\n}\\n\"]),o=t(\"./constants\").maxDimensionCount,s=t(\"../../lib\"),l=new Uint8Array(4),c=new Uint8Array(4),u={shape:[256,1],format:\"rgba\",type:\"uint8\",mag:\"nearest\",min:\"nearest\"};function f(t,e,r,n,i){var a=t._gl;a.enable(a.SCISSOR_TEST),a.scissor(e,r,n,i),t.clear({color:[0,0,0,0],depth:1})}function h(t,e,r,n,i,a){var o=a.key;r.drawCompleted||(!function(t){t.read({x:0,y:0,width:1,height:1,data:l})}(t),r.drawCompleted=!0),function s(l){var c=Math.min(n,i-l*n);0===l&&(window.cancelAnimationFrame(r.currentRafs[o]),delete r.currentRafs[o],f(t,a.scissorX,a.scissorY,a.scissorWidth,a.viewBoxSize[1])),r.clearOnly||(a.count=2*c,a.offset=2*l*n,e(a),l*n+c<i&&(r.currentRafs[o]=window.requestAnimationFrame((function(){s(l+1)}))),r.drawCompleted=!1)}(0)}function p(t,e){for(var r=new Array(256),n=0;n<256;n++)r[n]=t(n/255).concat(e);return r}function d(t,e){return(t>>>8*e)%256/255}function m(t,e,r){for(var n=new Array(8*e),i=0,a=0;a<e;a++)for(var o=0;o<2;o++)for(var s=0;s<4;s++){var l=4*t+s,c=r[64*a+l];63===l&&0===o&&(c*=-1),n[i++]=c}return n}function g(t){var e=\"0\"+t;return e.substr(e.length-2)}function v(t){return t<o?\"p\"+g(t+1)+\"_\"+g(t+4):\"colors\"}function y(t,e,r,n,i,a,o,l,c,u,f,h,p,d){for(var m=[[],[]],g=0;g<64;g++)m[0][g]=g===i?1:0,m[1][g]=g===a?1:0;o*=d,l*=d,c*=d,u*=d;var v=t.lines.canvasOverdrag*d,y=t.domain,x=t.canvasWidth*d,b=t.canvasHeight*d,_=t.pad.l*d,w=t.pad.b*d,T=t.layoutHeight*d,k=t.layoutWidth*d,A=t.deselectedLines.color,M=t.deselectedLines.opacity;return 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n=e.indexOf(r),i=t.indexOf(n);return-1===i&&(i+=e.length),i}(e.exports=function(t,e){var r=t._fullLayout;if(i(t,[],o)){var l={},c={},u={},f={},h=r._size;e.forEach((function(e,r){var n=e[0].trace;u[r]=n.index;var i=f[r]=n._fullInput.index;l[r]=t.data[i].dimensions,c[r]=t.data[i].dimensions.slice()}));n(t,e,{width:h.w,height:h.h,margin:{t:h.t,r:h.r,b:h.b,l:h.l}},{filterChanged:function(e,n,i){var a=c[e][n],o=i.map((function(t){return t.slice()})),s=\"dimensions[\"+n+\"].constraintrange\",l=r._tracePreGUI[t._fullData[u[e]]._fullInput.uid];if(void 0===l[s]){var h=a.constraintrange;l[s]=h||null}var p=t._fullData[u[e]].dimensions[n];o.length?(1===o.length&&(o=o[0]),a.constraintrange=o,p.constraintrange=o.slice(),o=[o]):(delete a.constraintrange,delete p.constraintrange,o=null);var d={};d[s]=o,t.emit(\"plotly_restyle\",[d,[f[e]]])},hover:function(e){t.emit(\"plotly_hover\",e)},unhover:function(e){t.emit(\"plotly_unhover\",e)},axesMoved:function(e,r){var n=function(t,e){return function(r,n){return s(t,e,r)-s(t,e,n)}}(r,c[e].filter(a));l[e].sort(n),c[e].filter((function(t){return!a(t)})).sort((function(t){return c[e].indexOf(t)})).forEach((function(t){l[e].splice(l[e].indexOf(t),1),l[e].splice(c[e].indexOf(t),0,t)})),t.emit(\"plotly_restyle\",[{dimensions:[l[e]]},[f[e]]])}})}}).reglPrecompiled=o},{\"../../lib/prepare_regl\":528,\"./helpers\":904,\"./parcoords\":908}],910:[function(t,e,r){\"use strict\";var 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 left\",\"top center\",\"top right\",\"middle center\",\"bottom left\",\"bottom center\",\"bottom right\"],editType:\"plot\"},editType:\"plot\"},domain:i({name:\"pie\",trace:!0,editType:\"calc\"}),hole:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},sort:{valType:\"boolean\",dflt:!0,editType:\"calc\"},direction:{valType:\"enumerated\",values:[\"clockwise\",\"counterclockwise\"],dflt:\"counterclockwise\",editType:\"calc\"},rotation:{valType:\"angle\",dflt:0,editType:\"calc\"},pull:{valType:\"number\",min:0,max:1,dflt:0,arrayOk:!0,editType:\"calc\"},_deprecated:{title:{valType:\"string\",dflt:\"\",editType:\"calc\"},titlefont:c({},u,{}),titleposition:{valType:\"enumerated\",values:[\"top left\",\"top center\",\"top right\",\"middle center\",\"bottom left\",\"bottom center\",\"bottom right\"],editType:\"calc\"}}}},{\"../../components/color/attributes\":366,\"../../lib/extend\":505,\"../../plots/attributes\":562,\"../../plots/domain\":593,\"../../plots/font_attributes\":594,\"../../plots/template_attributes\":642}],911:[function(t,e,r){\"use strict\";var n=t(\"../../plots/plots\");r.name=\"pie\",r.plot=function(t,e,i,a){n.plotBasePlot(r.name,t,e,i,a)},r.clean=function(t,e,i,a){n.cleanBasePlot(r.name,t,e,i,a)}},{\"../../plots/plots\":628}],912:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"tinycolor2\"),a=t(\"../../components/color\"),o={};function s(t){return function(e,r){return!!e&&(!!(e=i(e)).isValid()&&(e=a.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e))}}function l(t,e){var r,n=JSON.stringify(t),a=e[n];if(!a){for(a=t.slice(),r=0;r<t.length;r++)a.push(i(t[r]).lighten(20).toHexString());for(r=0;r<t.length;r++)a.push(i(t[r]).darken(20).toHexString());e[n]=a}return a}e.exports={calc:function(t,e){var 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\":367,\"fast-isnumeric\":190,tinycolor2:313}],913:[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\":515,\"../../plots/domain\":593,\"../bar/defaults\":661,\"./attributes\":910,\"fast-isnumeric\":190}],914:[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\":403}],915:[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\":515}],916:[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\":910,\"./base_plot\":911,\"./calc\":912,\"./defaults\":913,\"./layout_attributes\":917,\"./layout_defaults\":918,\"./plot\":919,\"./style\":920,\"./style_one\":921}],917:[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\"}}},{}],918:[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\":515,\"./layout_attributes\":917}],919:[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._context.staticPlot,a=t._fullLayout,h=a._size;d(\"pie\",a),_(e,t),O(e,h);var m=l.makeTraceGroups(a._pielayer,e,\"trace\").each((function(e){var d=n.select(this),m=e[0],v=m.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=g.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,c=\"px0\",u=\"px1\";if(\"counterclockwise\"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,c=\"px1\",u=\"px0\"}for(n=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),d.attr(\"stroke-linejoin\",\"round\"),d.each((function(){var y=n.select(this).selectAll(\"g.slice\").data(e);y.enter().append(\"g\").classed(\"slice\",!0),y.exit().remove();var _=[[[],[]],[[],[]]],T=!1;y.each((function(i,o){if(i.hidden)n.select(this).selectAll(\"path,g\").remove();else{i.pointNumber=i.i,i.curveNumber=v.index,_[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var c=m.cx,u=m.cy,h=n.select(this),d=h.selectAll(\"path.surface\").data([i]);if(d.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":r?\"none\":\"all\"}),h.call(x,t,e),v.pull){var y=+g.castOption(v.pull,i.pts)||0;y>0&&(c+=y*i.pxmid[0],u+=y*i.pxmid[1])}i.cxFinal=c,i.cyFinal=u;var k=v.hole;if(i.v===m.vTotal){var A=\"M\"+(c+i.px0[0])+\",\"+(u+i.px0[1])+P(i.px0,i.pxmid,!0,1)+P(i.pxmid,i.px0,!0,1)+\"Z\";k?d.attr(\"d\",\"M\"+(c+k*i.px0[0])+\",\"+(u+k*i.px0[1])+P(i.px0,i.pxmid,!1,k)+P(i.pxmid,i.px0,!1,k)+\"Z\"+A):d.attr(\"d\",A)}else{var M=P(i.px0,i.px1,!0,1);if(k){var S=1-k;d.attr(\"d\",\"M\"+(c+k*i.px1[0])+\",\"+(u+k*i.px1[1])+P(i.px1,i.px0,!1,k)+\"l\"+S*i.px0[0]+\",\"+S*i.px0[1]+M+\"Z\")}else d.attr(\"d\",\"M\"+c+\",\"+u+\"l\"+i.px0[0]+\",\"+i.px0[1]+M+\"Z\")}D(t,i,m);var E=g.castOption(v.textposition,i.pts),C=h.selectAll(\"g.slicetext\").data(i.text&&\"none\"!==E?[0]:[]);C.enter().append(\"g\").classed(\"slicetext\",!0),C.exit().remove(),C.each((function(){var r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),h=l.ensureUniformFontSize(t,\"outside\"===E?function(t,e,r){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}}(v,i,a.font):b(v,i,a.font));r.text(i.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,h).call(f.convertToTspans,t);var d,y=s.bBox(r.node());if(\"outside\"===E)d=L(y,i);else if(d=w(y,i,m),\"auto\"===E&&d.scale<1){var x=l.ensureUniformFontSize(t,v.outsidetextfont);r.call(s.font,x),d=L(y=s.bBox(r.node()),i)}var _=d.textPosAngle,k=void 0===_?i.pxmid:z(m.r,_);if(d.targetX=c+k[0]*d.rCenter+(d.x||0),d.targetY=u+k[1]*d.rCenter+(d.y||0),R(d,y),d.outside){var A=d.targetY;i.yLabelMin=A-y.height/2,i.yLabelMid=A,i.yLabelMax=A+y.height/2,i.labelExtraX=0,i.labelExtraY=0,T=!0}d.fontSize=h.size,p(v.type,d,a),e[o].transform=d,l.setTransormAndDisplay(r,d)}))}function P(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*m.r+\",\"+n*m.r+\" 0 \"+i.largeArc+(r?\" 1 \":\" 0 \")+a+\",\"+o}}));var k=n.select(this).selectAll(\"g.titletext\").data(v.title.text?[0]:[]);if(k.enter().append(\"g\").classed(\"titletext\",!0),k.exit().remove(),k.each((function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),i=v.title.text;v._meta&&(i=l.templateString(i,v._meta)),r.text(i).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,v.title.font).call(f.convertToTspans,t),e=\"middle center\"===v.title.position?function(t){var e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(m):C(m,h),r.attr(\"transform\",u(e.x,e.y)+c(Math.min(1,e.scale))+u(e.tx,e.ty))})),T&&function(t,e){var r,n,i,a,o,s,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 i,c,u,h,p=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),d=n?t.yLabelMin:t.yLabelMax,m=n?t.yLabelMax:t.yLabelMin,v=t.cyFinal+o(t.px0[1],t.px1[1]),y=p-d;if(y*l>0&&(t.labelExtraY=y),Array.isArray(e.pull))for(c=0;c<f.length;c++)(u=f[c])===t||(g.castOption(e.pull,t.pts)||0)>=(g.castOption(e.pull,u.pts)||0)||((t.pxmid[1]-u.pxmid[1])*l>0?(y=u.cyFinal+o(u.px0[1],u.px1[1])-d-t.labelExtraY)*l>0&&(t.labelExtraY+=y):(m+t.labelExtraY-v)*l>0&&(i=3*s*Math.abs(c-f.indexOf(t)),(h=u.cxFinal+a(u.px0[0],u.px1[0])+i-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=h)))}for(n=0;n<2;n++)for(i=n?m:v,o=n?Math.max:Math.min,l=n?1:-1,r=0;r<2;r++){for(a=r?Math.max:Math.min,s=r?1:-1,(c=t[n][r]).sort(i),u=t[1-n][r],f=u.concat(c),p=[],h=0;h<c.length;h++)void 0!==c[h].yLabelMid&&p.push(c[h]);for(d=!1,h=0;n&&h<u.length;h++)if(void 0!==u[h].yLabelMid){d=u[h];break}for(h=0;h<p.length;h++){var x=h&&p[h-1];d&&!h&&(x=d),y(p[h],x)}}}(_,v),function(t,e){t.each((function(t){var r=n.select(this);if(t.labelExtraX||t.labelExtraY){var i=r.select(\"g.slicetext text\");t.transform.targetX+=t.labelExtraX,t.transform.targetY+=t.labelExtraY,l.setTransormAndDisplay(i,t.transform);var a=t.cxFinal+t.pxmid[0],s=\"M\"+a+\",\"+(t.cyFinal+t.pxmid[1]),c=(t.yLabelMax-t.yLabelMin)*(t.pxmid[0]<0?-1:1)/4;if(t.labelExtraX){var u=t.labelExtraX*t.pxmid[1]/t.pxmid[0],f=t.yLabelMid+t.labelExtraY-(t.cyFinal+t.pxmid[1]);Math.abs(u)>Math.abs(f)?s+=\"l\"+f*t.pxmid[0]/t.pxmid[1]+\",\"+f+\"H\"+(a+t.labelExtraX+c):s+=\"l\"+t.labelExtraX+\",\"+u+\"v\"+(f-u)+\"h\"+c}else s+=\"V\"+(t.yLabelMid+t.labelExtraY)+\"h\"+c;l.ensureSingle(r,\"path\",\"textline\").call(o.stroke,e.outsidetextfont.color).attr({\"stroke-width\":Math.min(2,e.outsidetextfont.size/8),d:s,fill:\"none\"})}else r.select(\"path.textline\").remove()}))}(y,v),T&&v.automargin){var A=s.bBox(d.node()),M=v.domain,S=h.w*(M.x[1]-M.x[0]),E=h.h*(M.y[1]-M.y[0]),P=(.5*S-m.r)/h.w,I=(.5*E-m.r)/h.h;i.autoMargin(t,\"pie.\"+v.uid+\".automargin\",{xl:M.x[0]-P,xr:M.x[1]+P,yb:M.y[0]-I,yt:M.y[1]+I,l:Math.max(m.cx-m.r-A.left,0),r:Math.max(A.right-(m.cx+m.r),0),b:Math.max(A.bottom-(m.cy+m.r),0),t:Math.max(m.cy-m.r-A.top,0),pad:5})}}))}));setTimeout((function(){m.selectAll(\"tspan\").each((function(){var t=n.select(this);t.attr(\"dy\")&&t.attr(\"dy\",t.attr(\"dy\"))}))}),0)},formatSliceLabel:D,transformInsideText:w,determineInsideTextFont:b,positionTitleOutside:C,prerenderTitles:_,layoutAreas:O,attachFxHandlers:x,computeTransform:R}},{\"../../components/color\":367,\"../../components/drawing\":389,\"../../components/fx\":407,\"../../lib\":515,\"../../lib/svg_text_utils\":541,\"../../plots/plots\":628,\"../bar/constants\":659,\"../bar/uniform_text\":673,\"./event_data\":914,\"./helpers\":915,\"@plotly/d3\":58}],920:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"./style_one\"),a=t(\"../bar/uniform_text\").resizeText;e.exports=function(t){var e=t._fullLayout._pielayer.selectAll(\".trace\");a(t,e,\"pie\"),e.each((function(t){var e=t[0].trace,r=n.select(this);r.style({opacity:e.opacity}),r.selectAll(\"path.surface\").each((function(t){n.select(this).call(i,t,e)}))}))}},{\"../bar/uniform_text\":673,\"./style_one\":921,\"@plotly/d3\":58}],921:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),i=t(\"./helpers\").castOption;e.exports=function(t,e,r){var a=r.marker.line,o=i(a.color,e.pts)||n.defaultLine,s=i(a.width,e.pts)||0;t.style(\"stroke-width\",s).call(n.fill,e.color).call(n.stroke,o)}},{\"../../components/color\":367,\"./helpers\":915}],922:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\");e.exports={x:n.x,y:n.y,xy:{valType:\"data_array\",editType:\"calc\"},indices:{valType:\"data_array\",editType:\"calc\"},xbounds:{valType:\"data_array\",editType:\"calc\"},ybounds:{valType:\"data_array\",editType:\"calc\"},text:n.text,marker:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,arrayOk:!1,editType:\"calc\"},blend:{valType:\"boolean\",dflt:null,editType:\"calc\"},sizemin:{valType:\"number\",min:.1,max:2,dflt:.5,editType:\"calc\"},sizemax:{valType:\"number\",min:.1,dflt:20,editType:\"calc\"},border:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},arearatio:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},editType:\"calc\"},editType:\"calc\"},transforms:void 0}},{\"../scatter/attributes\":936}],923:[function(t,e,r){\"use strict\";var n=t(\"../../../stackgl_modules\").gl_pointcloud2d,i=t(\"../../lib/str2rgbarray\"),a=t(\"../../plots/cartesian/autorange\").findExtremes,o=t(\"../scatter/get_trace_color\");function s(t,e){this.scene=t,this.uid=e,this.type=\"pointcloud\",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color=\"rgb(0, 0, 0)\",this.name=\"\",this.hoverinfo=\"all\",this.idToIndex=new Int32Array(0),this.bounds=[0,0,0,0],this.pointcloudOptions={positions:new Float32Array(0),idToIndex:this.idToIndex,sizemin:.5,sizemax:12,color:[0,0,0,1],areaRatio:1,borderColor:[0,0,0,1]},this.pointcloud=n(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}var l=s.prototype;l.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:Array.isArray(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},l.update=function(t){this.index=t.index,this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=o(t,{})},l.updateFast=function(t){var e,r,n,o,s,l,c=this.xData=this.pickXData=t.x,u=this.yData=this.pickYData=t.y,f=this.pickXYData=t.xy,h=t.xbounds&&t.ybounds,p=t.indices,d=this.bounds;if(f){if(n=f,e=f.length>>>1,h)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(l=0;l<e;l++)o=n[2*l],s=n[2*l+1],o<d[0]&&(d[0]=o),o>d[2]&&(d[2]=o),s<d[1]&&(d[1]=s),s>d[3]&&(d[3]=s);if(p)r=p;else for(r=new Int32Array(e),l=0;l<e;l++)r[l]=l}else for(e=c.length,n=new Float32Array(2*e),r=new 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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 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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\":367,\"../../components/fx\":407,\"../../lib\":515,\"./constants\":929,\"./render\":933,\"@plotly/d3\":58}],933:[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 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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,linkArrowLength:t.linkArrowLength,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function M(){return function(t){var e=t.linkArrowLength;if(t.link.circular)return function(t,e){var r=t.width/2,n=t.circularPathData;return\"top\"===t.circularLinkType?\"M \"+(n.targetX-e)+\" \"+(n.targetY+r)+\" L\"+(n.rightInnerExtent-e)+\" \"+(n.targetY+r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 1 \"+(n.rightFullExtent-r-e)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r-e)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 1 \"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent-r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 1 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 0 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 0 \"+(n.rightFullExtent+r-e)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r-e)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 0 \"+(n.rightInnerExtent-e)+\" \"+(n.targetY-r)+\"L\"+(n.targetX-e)+\" \"+(n.targetY-r)+(e>0?\"L\"+n.targetX+\" \"+n.targetY:\"\")+\"Z\":\"M \"+(n.targetX-e)+\" \"+(n.targetY-r)+\" L\"+(n.rightInnerExtent-e)+\" \"+(n.targetY-r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 0 \"+(n.rightFullExtent-r-e)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r-e)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 0 \"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent+r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 0 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 1 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 1 \"+(n.rightFullExtent+r-e)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r-e)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 1 \"+(n.rightInnerExtent-e)+\" \"+(n.targetY+r)+\"L\"+(n.targetX-e)+\" \"+(n.targetY+r)+(e>0?\"L\"+n.targetX+\" \"+n.targetY:\"\")+\"Z\"}(t.link,e);var r=Math.abs((t.link.target.x0-t.link.source.x1)/2);e>r&&(e=r);var n=t.link.source.x1,a=t.link.target.x0-e,o=i(n,a),s=o(.5),l=o(.5),c=t.link.y0-t.link.width/2,u=t.link.y0+t.link.width/2,f=t.link.y1-t.link.width/2,h=t.link.y1+t.link.width/2,p=\"M\"+n+\",\"+c,d=\"C\"+s+\",\"+c+\" \"+l+\",\"+f+\" \"+a+\",\"+f,m=\"C\"+l+\",\"+h+\" \"+s+\",\"+u+\" \"+n+\",\"+u,g=e>0?\"L\"+(a+e)+\",\"+(f+t.link.width/2):\"\";return p+d+(g+=\"L\"+a+\",\"+h)+m+\"Z\"}}function S(t,e){var r=c(e.color),n=l.nodePadAcross,i=t.nodePad/2;e.dx=e.x1-e.x0,e.dy=e.y1-e.y0;var a=e.dx,o=Math.max(.5,e.dy),s=\"node_\"+e.pointNumber;return e.group&&(s=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 C(t,e){t.call(L),e.attr(\"d\",M())}function P(t){t.attr(\"width\",(function(t){return t.node.x1-t.node.x0})).attr(\"height\",(function(t){return t.visibleHeight}))}function I(t){return t.link.width>1||t.linkLineWidth>0}function O(t){return p(t.translateX,t.translateY)+(t.horizontal?\"matrix(1 0 0 1 0 0)\":\"matrix(0 1 1 0 0 0)\")}function z(t,e,r){t.on(\".basic\",null).on(\"mouseover.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.hover(this,t,e),t.interactionState.hovered=[this,t])})).on(\"mousemove.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.follow(this,t),t.interactionState.hovered=[this,t])})).on(\"mouseout.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.unhover(this,t,e),t.interactionState.hovered=!1)})).on(\"click.basic\",(function(t){t.interactionState.hovered&&(r.unhover(this,t,e),t.interactionState.hovered=!1),t.interactionState.dragInProgress||t.partOfGroup||r.select(this,t,e)}))}function D(t,e,r,i){var o=a.behavior.drag().origin((function(t){return{x:t.node.x0+t.visibleWidth/2,y:t.node.y0+t.visibleHeight/2}})).on(\"dragstart\",(function(a){if(\"fixed\"!==a.arrangement&&(h.ensureSingle(i._fullLayout._infolayer,\"g\",\"dragcover\",(function(t){i._fullLayout._dragCover=t})),h.raiseToTop(this),a.interactionState.dragInProgress=a.node,F(a.node),a.interactionState.hovered&&(r.nodeEvents.unhover.apply(0,a.interactionState.hovered),a.interactionState.hovered=!1),\"snap\"===a.arrangement)){var o=a.traceId+\"|\"+a.key;a.forceLayouts[o]?a.forceLayouts[o].alpha(1):function(t,e,r,i){!function(t){for(var e=0;e<t.length;e++)t[e].y=(t[e].y0+t[e].y1)/2,t[e].x=(t[e].x0+t[e].x1)/2}(r.graph.nodes);var a=r.graph.nodes.filter((function(t){return t.originalX===r.node.originalX})).filter((function(t){return!t.partOfGroup}));r.forceLayouts[e]=n.forceSimulation(a).alphaDecay(0).force(\"collide\",n.forceCollide().radius((function(t){return t.dy/2+r.nodePad/2})).strength(1).iterations(l.forceIterations)).force(\"constrain\",function(t,e,r,n){return function(){for(var t=0,i=0;i<r.length;i++){var a=r[i];a===n.interactionState.dragInProgress?(a.x=a.lastDraggedX,a.y=a.lastDraggedY):(a.vx=(a.originalX-a.x)/l.forceTicksPerFrame,a.y=Math.min(n.size-a.dy/2,Math.max(a.dy/2,a.y))),t=Math.max(t,Math.abs(a.vx),Math.abs(a.vy))}!n.interactionState.dragInProgress&&t<.1&&n.forceLayouts[e].alpha()>0&&n.forceLayouts[e].alpha(0)}}(0,e,a,r)).stop()}(0,o,a),function(t,e,r,n,i){window.requestAnimationFrame((function a(){var o;for(o=0;o<l.forceTicksPerFrame;o++)r.forceLayouts[n].tick();if(function(t){for(var e=0;e<t.length;e++)t[e].y0=t[e].y-t[e].dy/2,t[e].y1=t[e].y0+t[e].dy,t[e].x0=t[e].x-t[e].dx/2,t[e].x1=t[e].x0+t[e].dx}(r.graph.nodes),r.sankey.update(r.graph),C(t.filter(B(r)),e),r.forceLayouts[n].alpha()>0)window.requestAnimationFrame(a);else{var s=r.node.originalX;r.node.x0=s-r.visibleWidth/2,r.node.x1=s+r.visibleWidth/2,R(r,i)}}))}(t,e,a,o,i)}})).on(\"drag\",(function(r){if(\"fixed\"!==r.arrangement){var n=a.event.x,i=a.event.y;\"snap\"===r.arrangement?(r.node.x0=n-r.visibleWidth/2,r.node.x1=n+r.visibleWidth/2,r.node.y0=i-r.visibleHeight/2,r.node.y1=i+r.visibleHeight/2):(\"freeform\"===r.arrangement&&(r.node.x0=n-r.visibleWidth/2,r.node.x1=n+r.visibleWidth/2),i=Math.max(0,Math.min(r.size-r.visibleHeight/2,i)),r.node.y0=i-r.visibleHeight/2,r.node.y1=i+r.visibleHeight/2),F(r.node),\"snap\"!==r.arrangement&&(r.sankey.update(r.graph),C(t.filter(B(r)),e))}})).on(\"dragend\",(function(t){if(\"fixed\"!==t.arrangement){t.interactionState.dragInProgress=!1;for(var e=0;e<t.node.childrenNodes.length;e++)t.node.childrenNodes[e].x=t.node.x,t.node.childrenNodes[e].y=t.node.y;\"snap\"!==t.arrangement&&R(t,i)}}));t.on(\".drag\",null).call(o)}function R(t,e){for(var r=[],n=[],i=0;i<t.graph.nodes.length;i++){var a=(t.graph.nodes[i].x0+t.graph.nodes[i].x1)/2,o=(t.graph.nodes[i].y0+t.graph.nodes[i].y1)/2;r.push(a/t.figure.width),n.push(o/t.figure.height)}b.call(\"_guiRestyle\",e,{\"node.x\":[r],\"node.y\":[n]},t.trace.index).then((function(){e._fullLayout._dragCover&&e._fullLayout._dragCover.remove()}))}function F(t){t.lastDraggedX=t.x0+t.dx/2,t.lastDraggedY=t.y0+t.dy/2}function B(t){return function(e){return e.node.originalX===t.node.originalX}}e.exports=function(t,e,r,n,i){var o=t._context.staticPlot,s=!1;h.ensureSingle(t._fullLayout._infolayer,\"g\",\"first-render\",(function(){s=!0}));var m=t._fullLayout._dragCover,b=r.filter((function(t){return 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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,backoff:u.backoff,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,angle:c.angle,angleref:c.angleref,standoff:c.standoff,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\":374,\"../../lib/extend\":505,\"../../plots/attributes\":562,\"../../plots/template_attributes\":642,\"../scatter/attributes\":936}],971:[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,{backoff:!0}),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\":515,\"../scatter/constants\":940,\"../scatter/fillcolor_defaults\":944,\"../scatter/line_defaults\":949,\"../scatter/line_shape_defaults\":951,\"../scatter/marker_defaults\":955,\"../scatter/subtypes\":961,\"../scatter/text_defaults\":962,\"./attributes\":970}],973:[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}},{}],974:[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}},{}],975:[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\":515,\"../scatter/hover\":947}],976:[function(t,e,r){\"use 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s,l,c,u=r[0][0].carpet,f=i.getFromId(t,u.xaxis||\"x\"),h=i.getFromId(t,u.yaxis||\"y\"),p={xaxis:f,yaxis:h,plot:e.plot};for(s=0;s<r.length;s++)(l=r[s][0].trace)._xA=f,l._yA=h;for(n(t,p,r,o),s=0;s<r.length;s++)l=r[s][0].trace,c=o.selectAll(\"g.trace\"+l.uid+\" .js-line\"),a.setClipUrl(c,r[s][0].carpet._clipPathId,t)}},{\"../../components/drawing\":389,\"../../plots/cartesian/axes\":566,\"../scatter/plot\":957}],978:[function(t,e,r){\"use strict\";var n=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../../plots/template_attributes\").texttemplateAttrs,a=t(\"../scatter/attributes\"),o=t(\"../../plots/attributes\"),s=t(\"../../components/colorscale/attributes\"),l=t(\"../../components/drawing/attributes\").dash,c=t(\"../../lib/extend\").extendFlat,u=t(\"../../plot_api/edit_types\").overrideAll,f=a.marker,h=a.line,p=f.line;e.exports=u({lon:{valType:\"data_array\"},lat:{valType:\"data_array\"},locations:{valType:\"data_array\"},locationmode:{valType:\"enumerated\",values:[\"ISO-3\",\"USA-states\",\"country 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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,e){var r,n,i=e._length,o=e.marker,l={},c=s.isArrayOrTypedArray(o.symbol),f=s.isArrayOrTypedArray(o.angle),d=s.isArrayOrTypedArray(o.color),m=s.isArrayOrTypedArray(o.line.color),g=s.isArrayOrTypedArray(o.opacity),v=s.isArrayOrTypedArray(o.size),y=s.isArrayOrTypedArray(o.line.width);if(c||(n=p.isOpenSymbol(o.symbol)),c||d||m||g||f){l.symbols=new Array(i),l.angles=new Array(i),l.colors=new Array(i),l.borderColors=new Array(i);var x=o.symbol,b=o.angle,_=u(o,o.opacity,i),w=u(o.line,o.opacity,i);if(!Array.isArray(w[0])){var T=w;for(w=Array(i),r=0;r<i;r++)w[r]=T}if(!Array.isArray(_[0])){var k=_;for(_=Array(i),r=0;r<i;r++)_[r]=k}if(!Array.isArray(x)){var A=x;for(x=Array(i),r=0;r<i;r++)x[r]=A}if(!Array.isArray(b)){var M=b;for(b=Array(i),r=0;r<i;r++)b[r]=M}for(l.symbols=x,l.angles=b,l.colors=_,l.borderColors=w,r=0;r<i;r++)c&&(n=p.isOpenSymbol(o.symbol[r])),n&&(w[r]=_[r].slice(),_[r]=_[r].slice(),_[r][3]=0);for(l.opacity=e.opacity,l.markers=new Array(i),r=0;r<i;r++)l.markers[r]=E({mx:l.symbols[r],ma:l.angles[r]},e)}else n?(l.color=a(o.color,\"uint8\"),l.color[3]=0,l.borderColor=a(o.color,\"uint8\")):(l.color=a(o.color,\"uint8\"),l.borderColor=a(o.line.color,\"uint8\")),l.opacity=e.opacity*o.opacity,l.marker=E({mx:o.symbol,ma:o.angle},e);var S,L=h(e,1);if(v||y){var C,P=l.sizes=new Array(i),I=l.borderSizes=new Array(i),O=0;if(v){for(r=0;r<i;r++)P[r]=L(o.size[r]),O+=P[r];C=O/i}else for(S=L(o.size),r=0;r<i;r++)P[r]=S;if(y)for(r=0;r<i;r++)I[r]=o.line.width[r];else for(S=o.line.width,r=0;r<i;r++)I[r]=S;l.sizeAvg=C}else l.size=L(o&&o.size||10),l.borderSizes=L(o.line.width);return l}function b(t,e,r){var n=e.marker,i={};return r?(r.marker&&r.marker.symbol?i=x(0,s.extendFlat({},n,r.marker)):r.marker&&(r.marker.size&&(i.size=r.marker.size),r.marker.color&&(i.colors=r.marker.color),void 0!==r.marker.opacity&&(i.opacity=r.marker.opacity)),i):i}function _(t,e,r){var n={};if(!r)return n;if(r.textfont){var i={opacity:1,text:e.text,texttemplate:e.texttemplate,textposition:e.textposition,textfont:s.extendFlat({},e.textfont)};r.textfont&&s.extendFlat(i.textfont,r.textfont),n=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,e){var r,n,a=t.mx;if(\"circle\"===a)return null;var o=l.symbolNumber(a),s=l.symbolFuncs[o%100],c=!!l.symbolNoDot[o%100],u=!!l.symbolNoFill[o%100],f=p.isDotSymbol(a);if(t.ma&&(a+=\"_\"+t.ma),M[a])return M[a];var h=l.getMarkerAngle(t,e);return r=f&&!c?s(1.1*k,h)+S:s(k,h),n=i(r,{w:T,h:T,viewBox:[-k,-k,k,k],stroke:u?A:-A}),M[a]=n,n||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 n;if(f.hasText(e)&&(n.text=y(t,e),n.textSel=_(t,e,e.selected),n.textUnsel=_(t,e,e.unselected)),f.hasMarkers(e)&&(n.marker=x(t,e),n.markerSel=b(t,e,e.selected),n.markerUnsel=b(t,e,e.unselected),!e.unselected&&s.isArrayOrTypedArray(e.marker.opacity))){var a=e.marker.opacity;for(n.markerUnsel.opacity=new Array(a.length),r=0;r<a.length;r++)n.markerUnsel.opacity[r]=m*a[r]}if(f.hasLines(e)){n.line={overlay:!0,thickness:e.line.width*i,color:e.line.color,opacity:e.opacity};var o=(d.DASHES[e.line.dash]||[1]).slice();for(r=0;r<o.length;++r)o[r]*=e.line.width*i;n.line.dashes=o}return e.error_x&&e.error_x.visible&&(n.errorX=w(e,e.error_x,i)),e.error_y&&e.error_y.visible&&(n.errorY=w(e,e.error_y,i)),e.fill&&\"none\"!==e.fill&&(n.fill={closed:!0,fill:e.fillcolor,thickness:0}),n},markerStyle:x,markerSelection:b,linePositions:function(t,e,r){var n,i,a=r.length,o=a/2;if(f.hasLines(e)&&o)if(\"hv\"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i+2],r[2*i+1]));n.push(r[a-2],r[a-1])}else if(\"hvh\"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var s=(r[2*i]+r[2*i+2])/2;n.push(r[2*i],r[2*i+1],s,r[2*i+1],s,r[2*i+3])}n.push(r[a-2],r[a-1])}else if(\"vhv\"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var l=(r[2*i+1]+r[2*i+3])/2;n.push(r[2*i],r[2*i+1],r[2*i],l,r[2*i+2],l)}n.push(r[a-2],r[a-1])}else if(\"vh\"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+3]));n.push(r[a-2],r[a-1])}else n=r;var c=!1;for(i=0;i<n.length;i++)if(isNaN(n[i])){c=!0;break}var u=c||n.length>d.TOO_MANY_POINTS||f.hasMarkers(e)?\"rect\":\"round\";if(c&&e.connectgaps){var h=n[0],p=n[1];for(i=0;i<n.length;i+=2)isNaN(n[i])||isNaN(n[i+1])?(n[i]=h,n[i+1]=p):(h=n[i],p=n[i+1])}return{join:u,positions:n}},errorBarPositions:function(t,e,r,i,a){var s=o.getComponentMethod(\"errorbars\",\"makeComputeError\"),l=c.getFromId(t,e.xaxis,\"x\"),u=c.getFromId(t,e.yaxis,\"y\"),f=r.length/2,h={};function p(t,i){var a=i._id.charAt(0),o=e[\"error_\"+a];if(o&&o.visible&&(\"linear\"===i.type||\"log\"===i.type)){for(var l=s(o),c={x:0,y:1}[a],u={x:[0,1,2,3],y:[2,3,0,1]}[a],p=new Float64Array(4*f),d=1/0,m=-1/0,g=0,v=0;g<f;g++,v+=4){var y=t[g];if(n(y)){var x=r[2*g+c],b=l(y,g),_=b[0],w=b[1];if(n(_)&&n(w)){var 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\":389,\"../../components/fx/helpers\":403,\"../../constants/interactions\":490,\"../../lib\":515,\"../../lib/gl_format_color\":511,\"../../plots/cartesian/axis_ids\":570,\"../../registry\":647,\"../scatter/make_bubble_size_func\":953,\"../scatter/subtypes\":961,\"./constants\":991,\"./helpers\":996,\"color-normalize\":89,\"fast-isnumeric\":190,\"svg-path-sdf\":311}],993:[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,{noAngleRef:!0,noStandOff:!0}),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\":515,\"../../registry\":647,\"../scatter/constants\":940,\"../scatter/fillcolor_defaults\":944,\"../scatter/line_defaults\":949,\"../scatter/marker_defaults\":955,\"../scatter/period_defaults\":956,\"../scatter/subtypes\":961,\"../scatter/text_defaults\":962,\"../scatter/xy_defaults\":963,\"./attributes\":988,\"./helpers\":996}],994:[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\":367,\"../../constants/interactions\":490,\"../../lib\":515}],995:[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\":945}],996:[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\":991}],997:[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.ma=i.isArrayOrTypedArray(d.angle)?d.angle[f]:d.angle,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 0===s?[t]:[o(t,b,_,v)]},calcHover:o}},{\"../../lib\":515,\"../../registry\":647,\"../scatter/get_trace_color\":946}],998:[function(t,e,r){arguments[4][905][0].apply(r,arguments)},{\"./base_index\":989,\"./plot\":999,dup:905}],999:[function(t,e,r){\"use strict\";var n=t(\"regl-scatter2d\"),i=t(\"regl-line2d\"),a=t(\"regl-error2d\"),o=t(\"gl-text\"),s=t(\"../../lib\"),l=t(\"../../components/dragelement/helpers\").selectMode,c=t(\"../../lib/prepare_regl\"),u=t(\"../scatter/subtypes\"),f=t(\"../scatter/link_traces\"),h=t(\"./edit_style\").styleTextSelection,p={};function d(t,e,r,n){var i=t._size,a=t.width*n,o=t.height*n,s=i.l*n,l=i.b*n,c=i.r*n,u=i.t*n,f=i.w*n,h=i.h*n;return[s+e.domain[0]*f,l+r.domain[0]*h,a-c-(1-e.domain[1])*f,o-u-(1-r.domain[1])*h]}(e.exports=function(t,e,r){if(r.length){var 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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 if(\"toself\"===s.fill||\"tonext\"===s.fill){for(p=[],i=0,t.splitNull=!0,a=0;a<d.length;a+=2)(isNaN(d[a])||isNaN(d[a+1]))&&((p=p.concat(d.slice(i,a))).push(d[i],d[i+1]),p.push(null,null),i=a+2);p=p.concat(d.slice(i)),i&&p.push(d[i],d[i+1])}else{var m=s._nexttrace;if(m){var g=y.lineOptions[e+1];if(g){var v=g.positions;if(\"tonexty\"===s.fill){for(p=d.slice(),e=Math.floor(v.length/2);e--;){var x=v[2*e],b=v[2*e+1];isNaN(x)||isNaN(b)||p.push(x,b)}t.fill=m.fillcolor}}}}if(s._prevtrace&&\"tonext\"===s._prevtrace.fill){var _=y.lineOptions[e-1].positions,w=p.length/2,T=[i=w];for(a=0;a<_.length;a+=2)(isNaN(_[a])||isNaN(_[a+1]))&&(T.push(a/2+w+1),i=a+2);p=p.concat(_),t.hole=T}return t.fillmode=s.fill,t.opacity=s.opacity,t.positions=p,t}})),y.fill2d.update(y.fillOptions))}var M=v.dragmode,S=l(M),E=v.clickmode.indexOf(\"select\")>-1;for(m=0;m<_;m++){var L=r[m][0],C=L.trace,P=L.t,I=P.index,O=C._length,z=P.x,D=P.y;if(C.selectedpoints||S||E){if(S||(S=!0),C.selectedpoints){var 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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\":385,\"../../lib\":515,\"../../lib/prepare_regl\":528,\"../scatter/link_traces\":952,\"../scatter/subtypes\":961,\"./edit_style\":994,\"gl-text\":225,\"regl-error2d\":280,\"regl-line2d\":281,\"regl-scatter2d\":282}],1e3:[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 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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\":961,\"./edit_style\":994}],1002:[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=t(\"../../plots/mapbox/layout_attributes\"),p=a.line,d=a.marker;e.exports=f({lon:a.lon,lat:a.lat,cluster:{enabled:{valType:\"boolean\"},maxzoom:u({},h.layers.maxzoom,{}),step:{valType:\"number\",arrayOk:!0,dflt:-1,min:-1},size:{valType:\"number\",arrayOk:!0,dflt:20,min:0},color:{valType:\"color\",arrayOk:!0},opacity:u({},d.opacity,{dflt:1})},mode:u({},o.mode,{dflt:\"markers\"}),text:u({},o.text,{}),texttemplate:i({editType:\"plot\"},{keys:[\"lat\",\"lon\",\"text\"]}),hovertext:u({},o.hovertext,{}),line:{color:p.color,width:p.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:d.opacity,size:d.size,sizeref:d.sizeref,sizemin:d.sizemin,sizemode:d.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\":374,\"../../lib/extend\":505,\"../../plot_api/edit_types\":548,\"../../plots/attributes\":562,\"../../plots/mapbox/layout_attributes\":624,\"../../plots/template_attributes\":642,\"../scatter/attributes\":936,\"../scattergeo/attributes\":978}],1003:[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(t){return{type:t,geojson:o.makeBlank(),layout:{visibility:\"none\"},filter:null,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}function x(t,e){var r;if(i.isArrayOrTypedArray(t)&&i.isArrayOrTypedArray(e)){r=[\"step\",[\"get\",\"point_count\"],t[0]];for(var n=1;n<t.length;n++)r.push(e[n-1],t[n])}else r=t;return r}e.exports=function(t,e){var r,a=e[0].trace,b=!0===a.visible&&0!==a._length,_=\"none\"!==a.fill,w=u.hasLines(a),T=u.hasMarkers(a),k=u.hasText(a),A=T&&\"circle\"===a.marker.symbol,M=T&&\"circle\"!==a.marker.symbol,S=a.cluster&&a.cluster.enabled,E=m(\"fill\"),L=m(\"line\"),C=m(\"circle\"),P=m(\"symbol\"),I={fill:E,line:L,circle:C,symbol:P};if(!b)return I;if((_||w)&&(r=o.calcTraceToLineCoords(e)),_&&(E.geojson=o.makePolygon(r),E.layout.visibility=\"visible\",i.extendFlat(E.paint,{\"fill-color\":a.fillcolor})),w&&(L.geojson=o.makeLine(r),L.layout.visibility=\"visible\",i.extendFlat(L.paint,{\"line-width\":a.line.width,\"line-color\":a.line.color,\"line-opacity\":a.opacity})),A){var O=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 b=t[e],_=b.lonlat;if(!y(_)){var w={};r&&(w.mcc=b.mcc=r(b.mc)),a&&(w.mrc=b.mrc=a(b.ms)),o&&(w.mo=o(b.mo)),h&&(w.selected=b.selected||0),x.push({type:\"Feature\",id:e+1,geometry:{type:\"Point\",coordinates:_},properties:w})}}if(h)for(v=l.makeSelectedPointStyleFns(u),e=0;e<x.length;e++){var T=x[e].properties;v.selectedOpacityFn&&(T.mo=g(v.selectedOpacityFn(T))),v.selectedColorFn&&(T.mcc=v.selectedColorFn(T)),v.selectedSizeFn&&(T.mrc=v.selectedSizeFn(T))}return{geojson:{type:\"FeatureCollection\",features:x},mcc:p||v&&v.selectedColorFn?{type:\"identity\",property:\"mcc\"}:f.color,mrc:d||v&&v.selectedSizeFn?{type:\"identity\",property:\"mrc\"}:(k=f.size,k/2),mo:m||v&&v.selectedOpacityFn?{type:\"identity\",property:\"mo\"}:g(f.opacity)};var k}(e);C.geojson=O.geojson,C.layout.visibility=\"visible\",S&&(C.filter=[\"!\",[\"has\",\"point_count\"]],I.cluster={type:\"circle\",filter:[\"has\",\"point_count\"],layout:{visibility:\"visible\"},paint:{\"circle-color\":x(a.cluster.color,a.cluster.step),\"circle-radius\":x(a.cluster.size,a.cluster.step),\"circle-opacity\":x(a.cluster.opacity,a.cluster.step)}},I.clusterCount={type:\"symbol\",filter:[\"has\",\"point_count\"],paint:{},layout:{\"text-field\":\"{point_count_abbreviated}\",\"text-font\":[\"Open Sans Regular\",\"Arial Unicode MS Regular\"],\"text-size\":12}}),i.extendFlat(C.paint,{\"circle-color\":O.mcc,\"circle-radius\":O.mrc,\"circle-opacity\":O.mo})}if(A&&S&&(C.filter=[\"!\",[\"has\",\"point_count\"]]),(M||k)&&(P.geojson=function(t,e){for(var r=e._fullLayout,n=t[0].trace,a=n.marker||{},o=a.symbol,s=a.angle,l=\"circle\"!==o?g(o):v,c=\"auto\"!==s?g(s,!0):v,f=u.hasText(n)?g(n.text):v,m=[],x=0;x<t.length;x++){var b=t[x];if(!y(b.lonlat)){var _,w=n.texttemplate;if(w){var T=Array.isArray(w)?w[x]||\"\":w,k=n._module.formatLabels(b,n,r),A={};h(A,n,b.i);var M=n._meta||{};_=i.texttemplateString(T,k,r._d3locale,A,b,M)}else _=f(x);_&&(_=_.replace(p,\"\").replace(d,\"\\n\")),m.push({type:\"Feature\",geometry:{type:\"Point\",coordinates:b.lonlat},properties:{symbol:l(x),angle:c(x),text:_}})}}return{type:\"FeatureCollection\",features:m}}(e,t),i.extendFlat(P.layout,{visibility:\"visible\",\"icon-image\":\"{symbol}-15\",\"text-field\":\"{text}\"}),M&&(i.extendFlat(P.layout,{\"icon-size\":a.marker.size/10}),\"angle\"in a.marker&&\"auto\"!==a.marker.angle&&i.extendFlat(P.layout,{\"icon-rotate\":{type:\"identity\",property:\"angle\"},\"icon-rotation-alignment\":\"map\"}),P.layout[\"icon-allow-overlap\"]=a.marker.allowoverlap,i.extendFlat(P.paint,{\"icon-opacity\":a.opacity*a.marker.opacity,\"icon-color\":a.marker.color})),k)){var z=(a.marker||{}).size,D=f(a.textposition,z);i.extendFlat(P.layout,{\"text-size\":a.textfont.size,\"text-anchor\":D.anchor,\"text-offset\":D.offset}),i.extendFlat(P.paint,{\"text-color\":a.textfont.color,\"text-opacity\":a.opacity})}return I}},{\"../../components/colorscale\":379,\"../../components/drawing\":389,\"../../components/fx/helpers\":403,\"../../constants/numerical\":491,\"../../lib\":515,\"../../lib/geojson_utils\":509,\"../../lib/svg_text_utils\":541,\"../../plots/mapbox/convert_text_opts\":621,\"../scatter/make_bubble_size_func\":953,\"../scatter/subtypes\":961,\"fast-isnumeric\":190}],1004:[function(t,e,r){\"use strict\";var 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)}function h(r,i){return n.coerce2(t,e,c,r,i)}if(function(t,e,r){var 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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\":389,\"../../lib\":515,\"../../lib/svg_text_utils\":541,\"../bar/style\":671,\"../bar/uniform_text\":673,\"../pie/helpers\":915,\"../pie/plot\":919,\"./constants\":1061,\"./fx\":1063,\"./helpers\":1064,\"./style\":1069,\"@plotly/d3\":58,\"d3-hierarchy\":115,\"d3-interpolate\":116}],1069:[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\":367,\"../../lib\":515,\"../bar/uniform_text\":673,\"@plotly/d3\":58}],1070:[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\":367,\"../../components/colorscale/attributes\":374,\"../../lib/extend\":505,\"../../plot_api/edit_types\":548,\"../../plots/attributes\":562,\"../../plots/cartesian/axis_format_attributes\":569,\"../../plots/template_attributes\":642}],1071:[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\":375}],1072:[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\":1133,\"../../components/colorscale\":379,\"../../lib\":515,\"../../lib/gl_format_color\":511,\"../../lib/str2rgbarray\":540,\"../heatmap/find_empties\":807,\"../heatmap/interp2d\":810}],1073:[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,Z=Y>>>13,X=0|s[3],J=8191&X,K=X>>>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,Z)|0)+Math.imul(h,W)|0))<<13)|0;c=((a=a+Math.imul(h,Z)|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,Z)|0)+Math.imul(m,W)|0,a=a+Math.imul(m,Z)|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,Z)|0)+Math.imul(y,W)|0,a=a+Math.imul(y,Z)|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,Z)|0)+Math.imul(_,W)|0,a=a+Math.imul(_,Z)|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,Z)|0)+Math.imul(k,W)|0,a=a+Math.imul(k,Z)|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,Z)|0)+Math.imul(S,W)|0,a=a+Math.imul(S,Z)|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,Z)|0)+Math.imul(C,W)|0,a=a+Math.imul(C,Z)|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,Z)|0)+Math.imul(O,W)|0,a=a+Math.imul(O,Z)|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,Z)|0)+Math.imul(R,W)|0,a=a+Math.imul(R,Z)|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,Z))+Math.imul(N,W)|0,a=Math.imul(N,Z),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,Z=4*(q+1);F=Y*m[W]+G*m[Z],B=Y*m[W+1]+G*m[Z+1],N=Y*m[W+2]+G*m[Z+2],j=Y*m[W+3]+G*m[Z+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]),Z=S?S[W]:E?E[R]:L,this.opacityscale&&P?a.push(Z[0],Z[1],Z[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===Z.length?y.push(Z[0],Z[1],Z[2],this.opacity):(y.push(Z[0],Z[1],Z[2],Z[3]*this.opacity),Z[3]<1&&(this.hasAlpha=!0)),X=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(X[0],X[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]),Z=S?S[W]:E?E[R]:L,this.opacityscale&&P?a.push(Z[0],Z[1],Z[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===Z.length?d.push(Z[0],Z[1],Z[2],this.opacity):(d.push(Z[0],Z[1],Z[2],Z[3]*this.opacity),Z[3]<1&&(this.hasAlpha=!0)),X=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(X[0],X[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,Z,X,J;j=n[W=G[2-U]];i.push(j[0],j[1],j[2]),(Z=S?S[W]:E?E[R]:L)?this.opacityscale&&P?a.push(Z[0],Z[1],Z[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===Z.length?a.push(Z[0],Z[1],Z[2],this.opacity):(a.push(Z[0],Z[1],Z[2],Z[3]*this.opacity),Z[3]<1&&(this.hasAlpha=!0)):a.push(.5,.5,.5,1),X=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(X[0],X[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 Z=[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],X=k.cells||[],J=k.positions||[];for(T=0;T<X.length;++T)for(var K=X[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]+Z[0]),C[2*O+1]=V*(G*tt[0]+q*tt[1]+Z[1]),O+=1}for(X=A.edges,J=A.positions,T=0;T<X.length;++T)for(K=X[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]+Z[0]),C[2*z+1]=V*(G*tt[0]+q*tt[1]+Z[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 Z=n.create();return n.lerp(Z,Y,W,O),Z}(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],Z=this._field[0].get(Y+1,W+1),X=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++]=Z,N[j++]=X,N[j++]=G,N[j++]=0,N[j++]=J,N[j++]=E,N[j++]=L,N[j++]=C,I[0]=Math.min(I[0],Z+this.objectOffset[0]),I[1]=Math.min(I[1],X+this.objectOffset[1]),I[2]=Math.min(I[2],G+this.objectOffset[2]),z=Math.min(z,J),O[0]=Math.max(O[0],Z+this.objectOffset[0]),O[1]=Math.max(O[1],X+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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a=Object.getOwnPropertyNames,o=Object.defineProperty,s=Object.isExtensible,l=\"weakmap:ident:\"+Math.random()+\"___\";if(\"undefined\"!=typeof crypto&&\"function\"==typeof crypto.getRandomValues&&\"function\"==typeof ArrayBuffer&&\"function\"==typeof Uint8Array){var c=new ArrayBuffer(25),u=new Uint8Array(c);crypto.getRandomValues(u),l=\"weakmap:rand:\"+Array.prototype.map.call(u,(function(t){return(t%36).toString(36)})).join(\"\")+\"___\"}if(o(Object,\"getOwnPropertyNames\",{value:function(t){return a(t).filter(g)}}),\"getPropertyNames\"in Object){var f=Object.getPropertyNames;o(Object,\"getPropertyNames\",{value:function(t){return f(t).filter(g)}})}!function(){var t=Object.freeze;o(Object,\"freeze\",{value:function(e){return v(e),t(e)}});var e=Object.seal;o(Object,\"seal\",{value:function(t){return v(t),e(t)}});var r=Object.preventExtensions;o(Object,\"preventExtensions\",{value:function(t){return v(t),r(t)}})}();var h=!1,p=0,d=function(){this instanceof d||x();var 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       "        });\n",
       "        require(['plotly'], function(Plotly) {\n",
       "            window._Plotly = Plotly;\n",
       "        });\n",
       "        }\n",
       "        </script>\n",
       "        "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "All libraries successfully imported!\n",
      "Rasterstats : 0.17.0\n"
     ]
    }
   ],
   "source": [
    "import glob, os\n",
    "import pandas as pd\n",
    "import geopandas as gpd\n",
    "import rasterio\n",
    "import rasterio.plot\n",
    "import rasterstats\n",
    "from rasterstats import zonal_stats\n",
    "import matplotlib.pyplot as plt\n",
    "from pathlib import Path\n",
    "import datetime\n",
    "from IPython.display import display\n",
    "import numpy as np\n",
    "import plotly.express as px\n",
    "import plotly.graph_objects as go\n",
    "import plotly.offline\n",
    "plotly.offline.init_notebook_mode()\n",
    "\n",
    "print('All libraries successfully imported!')\n",
    "print(f'Rasterstats : {rasterstats.__version__}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "BE CAREFULL warning are masked !!\n"
     ]
    }
   ],
   "source": [
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "\n",
    "print(\"BE CAREFULL warning are masked !!\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Set parameters**\n",
    "\n",
    "Choose statistics :\n",
    "- min\n",
    "- max\n",
    "- mean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [],
   "source": [
    "site = 'NAMUR'\n",
    "year = '2020'\n",
    "\n",
    "index_name = 'NDVI'\n",
    "\n",
    "stat_name = 'mean'\n",
    "\n",
    "nodata_val = -10000\n",
    "\n",
    "start = '20200101'\n",
    "end   = '20201231'"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Date**\n",
    "\n",
    "The date must be in each image filename. `begin_date` is the first position of the date\n",
    "\n",
    "E.g. : \"T31UFS_**2**0200316T104709_NDVI.tif\" --> **begin_date = 7**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [],
   "source": [
    "format     = '%Y%m%d' # format : YYYYMMDD\n",
    "begin_date = 7"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Set directory**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [],
   "source": [
    "computer_path = 'X:/'\n",
    "grp_nb        = '99'\n",
    "\n",
    "# Directory for all work files\n",
    "work_path = f'{computer_path}STUDENTS/GROUP_{grp_nb}/'  # Directory for all work files\n",
    "\n",
    "\n",
    "# Rasters files directory\n",
    "raster_file_list = sorted(glob.glob(f'{work_path}{index_name}/*{index_name}.tif'))\n",
    "\n",
    "# Vector file\n",
    "vector_file  = f'{work_path}B_IN_SITU_PREPRO/{site}_{year}_IN_SITU_ROI_prepared.shp'\n",
    "\n",
    "\n",
    "# Zonal statistics output\n",
    "zonal_stat_path = f'{work_path}ZONAL_STATS/'\n",
    "zonal_stat_csv  = f'{zonal_stat_path}{site}_{year}_zonal_stat_cont_{index_name}.csv'\n",
    "zonal_stat_shp  = f'{zonal_stat_path}{site}_{year}_zonal_stat_cont_{index_name}.shp'\n",
    "\n",
    "Path(zonal_stat_path).mkdir(parents=True, exist_ok=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Check if raster and vector are projected to the same CRS**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CRS are the same : EPSG:32631 = EPSG:32631\n"
     ]
    }
   ],
   "source": [
    "gdf = gpd.read_file(vector_file)\n",
    "src = rasterio.open(raster_file_list[0], \"r\")\n",
    "\n",
    "crs_vector = str(gdf.crs).split(\":\",1)[1]\n",
    "crs_raster = str(src.crs).split(\":\",1)[1]\n",
    "\n",
    "if crs_vector == crs_raster:\n",
    "    print(f'CRS are the same : EPSG:{crs_vector} = EPSG:{crs_raster}')\n",
    "else:\n",
    "    print('We must reproject vector file')\n",
    "\n",
    "    gdf = gdf.to_crs(epsg=crs_raster)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Check if raster and vector file are intersecting**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x1500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 1, figsize=(15,15))\n",
    "\n",
    "# Plot vector\n",
    "gdf.plot(facecolor='none', edgecolor='black', linewidth = 2, ax=ax)\n",
    "\n",
    "# Plot image\n",
    "color_map = plt.cm.get_cmap(\"RdYlGn\")\n",
    "reversed_color_map = color_map.reversed()\n",
    "\n",
    "src = rasterio.open(raster_file_list[6], \"r\")\n",
    "im_rio = rasterio.plot.show(src, cmap=color_map, vmin=0, vmax=1, ax=ax)\n",
    "im_rio = im_rio.get_images()[0]\n",
    "\n",
    "cax = fig.add_axes([ax.get_position().x1+0.01,ax.get_position().y0,0.02,ax.get_position().height])\n",
    "plt.colorbar(im_rio, ax=ax, cax=cax)\n",
    "\n",
    "\n",
    "plt.box(False)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Create a new column ID**\n",
    "\n",
    "get one single ID per polygon"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>lc_nb</th>\n",
       "      <th>lc</th>\n",
       "      <th>grp_nb</th>\n",
       "      <th>grp</th>\n",
       "      <th>class_nb</th>\n",
       "      <th>class</th>\n",
       "      <th>sub_nb</th>\n",
       "      <th>sub</th>\n",
       "      <th>grp_1_nb</th>\n",
       "      <th>grp_1</th>\n",
       "      <th>grp_A_nb</th>\n",
       "      <th>grp_A</th>\n",
       "      <th>area</th>\n",
       "      <th>pix_count</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>31</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>319</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>3199</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>3</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>3</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>1735</td>\n",
       "      <td>17</td>\n",
       "      <td>MULTIPOLYGON (((630003.573 5594258.004, 630003...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>31</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>319</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>3199</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>3</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>3</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>14331</td>\n",
       "      <td>146</td>\n",
       "      <td>POLYGON ((636962.589 5595674.757, 636966.536 5...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>31</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>319</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>3199</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>3</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>3</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>1768</td>\n",
       "      <td>18</td>\n",
       "      <td>POLYGON ((635692.119 5593303.601, 635688.405 5...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>31</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>319</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>3199</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>3</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>3</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>7828</td>\n",
       "      <td>79</td>\n",
       "      <td>POLYGON ((627911.368 5595749.375, 627942.033 5...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>31</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>319</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>3199</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>3</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>3</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>3197</td>\n",
       "      <td>39</td>\n",
       "      <td>POLYGON ((633236.525 5596165.100, 633397.286 5...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>532</th>\n",
       "      <td>532</td>\n",
       "      <td>6</td>\n",
       "      <td>Forest</td>\n",
       "      <td>69</td>\n",
       "      <td>Forest</td>\n",
       "      <td>699</td>\n",
       "      <td>Forest</td>\n",
       "      <td>6999</td>\n",
       "      <td>Forest</td>\n",
       "      <td>69</td>\n",
       "      <td>Forest</td>\n",
       "      <td>6</td>\n",
       "      <td>Forest</td>\n",
       "      <td>6221</td>\n",
       "      <td>64</td>\n",
       "      <td>POLYGON ((629637.453 5595004.884, 629637.670 5...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>533</th>\n",
       "      <td>533</td>\n",
       "      <td>6</td>\n",
       "      <td>Forest</td>\n",
       "      <td>69</td>\n",
       "      <td>Forest</td>\n",
       "      <td>699</td>\n",
       "      <td>Forest</td>\n",
       "      <td>6999</td>\n",
       "      <td>Forest</td>\n",
       "      <td>69</td>\n",
       "      <td>Forest</td>\n",
       "      <td>6</td>\n",
       "      <td>Forest</td>\n",
       "      <td>6792</td>\n",
       "      <td>65</td>\n",
       "      <td>POLYGON ((629067.212 5595065.248, 629067.346 5...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>534</th>\n",
       "      <td>534</td>\n",
       "      <td>6</td>\n",
       "      <td>Forest</td>\n",
       "      <td>69</td>\n",
       "      <td>Forest</td>\n",
       "      <td>699</td>\n",
       "      <td>Forest</td>\n",
       "      <td>6999</td>\n",
       "      <td>Forest</td>\n",
       "      <td>69</td>\n",
       "      <td>Forest</td>\n",
       "      <td>6</td>\n",
       "      <td>Forest</td>\n",
       "      <td>1416</td>\n",
       "      <td>14</td>\n",
       "      <td>MULTIPOLYGON (((628763.069 5595549.167, 628763...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>535</th>\n",
       "      <td>535</td>\n",
       "      <td>6</td>\n",
       "      <td>Forest</td>\n",
       "      <td>69</td>\n",
       "      <td>Forest</td>\n",
       "      <td>699</td>\n",
       "      <td>Forest</td>\n",
       "      <td>6999</td>\n",
       "      <td>Forest</td>\n",
       "      <td>69</td>\n",
       "      <td>Forest</td>\n",
       "      <td>6</td>\n",
       "      <td>Forest</td>\n",
       "      <td>7935</td>\n",
       "      <td>82</td>\n",
       "      <td>POLYGON ((631930.369 5595869.595, 631930.856 5...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>536</th>\n",
       "      <td>536</td>\n",
       "      <td>6</td>\n",
       "      <td>Forest</td>\n",
       "      <td>69</td>\n",
       "      <td>Forest</td>\n",
       "      <td>699</td>\n",
       "      <td>Forest</td>\n",
       "      <td>6999</td>\n",
       "      <td>Forest</td>\n",
       "      <td>69</td>\n",
       "      <td>Forest</td>\n",
       "      <td>6</td>\n",
       "      <td>Forest</td>\n",
       "      <td>4670</td>\n",
       "      <td>47</td>\n",
       "      <td>POLYGON ((635764.747 5595906.026, 635766.406 5...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>537 rows × 16 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      id  lc_nb                     lc  grp_nb                    grp  \\\n",
       "0      0      3  Grassland and meadows      31  Grassland and meadows   \n",
       "1      1      3  Grassland and meadows      31  Grassland and meadows   \n",
       "2      2      3  Grassland and meadows      31  Grassland and meadows   \n",
       "3      3      3  Grassland and meadows      31  Grassland and meadows   \n",
       "4      4      3  Grassland and meadows      31  Grassland and meadows   \n",
       "..   ...    ...                    ...     ...                    ...   \n",
       "532  532      6                 Forest      69                 Forest   \n",
       "533  533      6                 Forest      69                 Forest   \n",
       "534  534      6                 Forest      69                 Forest   \n",
       "535  535      6                 Forest      69                 Forest   \n",
       "536  536      6                 Forest      69                 Forest   \n",
       "\n",
       "     class_nb                  class  sub_nb                    sub  grp_1_nb  \\\n",
       "0         319  Grassland and meadows    3199  Grassland and meadows         3   \n",
       "1         319  Grassland and meadows    3199  Grassland and meadows         3   \n",
       "2         319  Grassland and meadows    3199  Grassland and meadows         3   \n",
       "3         319  Grassland and meadows    3199  Grassland and meadows         3   \n",
       "4         319  Grassland and meadows    3199  Grassland and meadows         3   \n",
       "..        ...                    ...     ...                    ...       ...   \n",
       "532       699                 Forest    6999                 Forest        69   \n",
       "533       699                 Forest    6999                 Forest        69   \n",
       "534       699                 Forest    6999                 Forest        69   \n",
       "535       699                 Forest    6999                 Forest        69   \n",
       "536       699                 Forest    6999                 Forest        69   \n",
       "\n",
       "                     grp_1  grp_A_nb                  grp_A   area  pix_count  \\\n",
       "0    Grassland and meadows         3  Grassland and meadows   1735         17   \n",
       "1    Grassland and meadows         3  Grassland and meadows  14331        146   \n",
       "2    Grassland and meadows         3  Grassland and meadows   1768         18   \n",
       "3    Grassland and meadows         3  Grassland and meadows   7828         79   \n",
       "4    Grassland and meadows         3  Grassland and meadows   3197         39   \n",
       "..                     ...       ...                    ...    ...        ...   \n",
       "532                 Forest         6                 Forest   6221         64   \n",
       "533                 Forest         6                 Forest   6792         65   \n",
       "534                 Forest         6                 Forest   1416         14   \n",
       "535                 Forest         6                 Forest   7935         82   \n",
       "536                 Forest         6                 Forest   4670         47   \n",
       "\n",
       "                                              geometry  \n",
       "0    MULTIPOLYGON (((630003.573 5594258.004, 630003...  \n",
       "1    POLYGON ((636962.589 5595674.757, 636966.536 5...  \n",
       "2    POLYGON ((635692.119 5593303.601, 635688.405 5...  \n",
       "3    POLYGON ((627911.368 5595749.375, 627942.033 5...  \n",
       "4    POLYGON ((633236.525 5596165.100, 633397.286 5...  \n",
       "..                                                 ...  \n",
       "532  POLYGON ((629637.453 5595004.884, 629637.670 5...  \n",
       "533  POLYGON ((629067.212 5595065.248, 629067.346 5...  \n",
       "534  MULTIPOLYGON (((628763.069 5595549.167, 628763...  \n",
       "535  POLYGON ((631930.369 5595869.595, 631930.856 5...  \n",
       "536  POLYGON ((635764.747 5595906.026, 635766.406 5...  \n",
       "\n",
       "[537 rows x 16 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "gdf[\"id\"] = gdf.index\n",
    "\n",
    "display(gdf)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Get date of each image**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>im_path</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2020-01-16</td>\n",
       "      <td>/export/miro/ndeffense/LBRAT2104/STUDENTS/GROU...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2020-02-12</td>\n",
       "      <td>/export/miro/ndeffense/LBRAT2104/STUDENTS/GROU...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2020-03-16</td>\n",
       "      <td>/export/miro/ndeffense/LBRAT2104/STUDENTS/GROU...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2020-04-17</td>\n",
       "      <td>/export/miro/ndeffense/LBRAT2104/STUDENTS/GROU...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2020-05-20</td>\n",
       "      <td>/export/miro/ndeffense/LBRAT2104/STUDENTS/GROU...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2020-06-21</td>\n",
       "      <td>/export/miro/ndeffense/LBRAT2104/STUDENTS/GROU...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2020-07-19</td>\n",
       "      <td>/export/miro/ndeffense/LBRAT2104/STUDENTS/GROU...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2020-08-13</td>\n",
       "      <td>/export/miro/ndeffense/LBRAT2104/STUDENTS/GROU...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2020-09-14</td>\n",
       "      <td>/export/miro/ndeffense/LBRAT2104/STUDENTS/GROU...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2020-10-19</td>\n",
       "      <td>/export/miro/ndeffense/LBRAT2104/STUDENTS/GROU...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2020-11-18</td>\n",
       "      <td>/export/miro/ndeffense/LBRAT2104/STUDENTS/GROU...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2020-12-18</td>\n",
       "      <td>/export/miro/ndeffense/LBRAT2104/STUDENTS/GROU...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          date                                            im_path\n",
       "0   2020-01-16  /export/miro/ndeffense/LBRAT2104/STUDENTS/GROU...\n",
       "1   2020-02-12  /export/miro/ndeffense/LBRAT2104/STUDENTS/GROU...\n",
       "2   2020-03-16  /export/miro/ndeffense/LBRAT2104/STUDENTS/GROU...\n",
       "3   2020-04-17  /export/miro/ndeffense/LBRAT2104/STUDENTS/GROU...\n",
       "4   2020-05-20  /export/miro/ndeffense/LBRAT2104/STUDENTS/GROU...\n",
       "5   2020-06-21  /export/miro/ndeffense/LBRAT2104/STUDENTS/GROU...\n",
       "6   2020-07-19  /export/miro/ndeffense/LBRAT2104/STUDENTS/GROU...\n",
       "7   2020-08-13  /export/miro/ndeffense/LBRAT2104/STUDENTS/GROU...\n",
       "8   2020-09-14  /export/miro/ndeffense/LBRAT2104/STUDENTS/GROU...\n",
       "9   2020-10-19  /export/miro/ndeffense/LBRAT2104/STUDENTS/GROU...\n",
       "10  2020-11-18  /export/miro/ndeffense/LBRAT2104/STUDENTS/GROU...\n",
       "11  2020-12-18  /export/miro/ndeffense/LBRAT2104/STUDENTS/GROU..."
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dict_list = []\n",
    "\n",
    "for im in raster_file_list:\n",
    "            \n",
    "        date_str = os.path.basename(im)[begin_date:begin_date+8]\n",
    "\n",
    "        date_im = datetime.datetime.strptime(date_str, format).date()\n",
    "\n",
    "        dict_list.append({'date': date_im,\n",
    "                          'im_path': im})\n",
    "\n",
    "im_date_path_df = pd.DataFrame.from_dict(dict_list).sort_values('date')\n",
    "\n",
    "display(im_date_path_df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Select images inside a period**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>im_path</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2020-01-16</td>\n",
       "      <td>/export/miro/ndeffense/LBRAT2104/STUDENTS/GROU...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2020-02-12</td>\n",
       "      <td>/export/miro/ndeffense/LBRAT2104/STUDENTS/GROU...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2020-03-16</td>\n",
       "      <td>/export/miro/ndeffense/LBRAT2104/STUDENTS/GROU...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2020-04-17</td>\n",
       "      <td>/export/miro/ndeffense/LBRAT2104/STUDENTS/GROU...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2020-05-20</td>\n",
       "      <td>/export/miro/ndeffense/LBRAT2104/STUDENTS/GROU...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2020-06-21</td>\n",
       "      <td>/export/miro/ndeffense/LBRAT2104/STUDENTS/GROU...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2020-07-19</td>\n",
       "      <td>/export/miro/ndeffense/LBRAT2104/STUDENTS/GROU...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2020-08-13</td>\n",
       "      <td>/export/miro/ndeffense/LBRAT2104/STUDENTS/GROU...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2020-09-14</td>\n",
       "      <td>/export/miro/ndeffense/LBRAT2104/STUDENTS/GROU...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2020-10-19</td>\n",
       "      <td>/export/miro/ndeffense/LBRAT2104/STUDENTS/GROU...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2020-11-18</td>\n",
       "      <td>/export/miro/ndeffense/LBRAT2104/STUDENTS/GROU...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2020-12-18</td>\n",
       "      <td>/export/miro/ndeffense/LBRAT2104/STUDENTS/GROU...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          date                                            im_path\n",
       "0   2020-01-16  /export/miro/ndeffense/LBRAT2104/STUDENTS/GROU...\n",
       "1   2020-02-12  /export/miro/ndeffense/LBRAT2104/STUDENTS/GROU...\n",
       "2   2020-03-16  /export/miro/ndeffense/LBRAT2104/STUDENTS/GROU...\n",
       "3   2020-04-17  /export/miro/ndeffense/LBRAT2104/STUDENTS/GROU...\n",
       "4   2020-05-20  /export/miro/ndeffense/LBRAT2104/STUDENTS/GROU...\n",
       "5   2020-06-21  /export/miro/ndeffense/LBRAT2104/STUDENTS/GROU...\n",
       "6   2020-07-19  /export/miro/ndeffense/LBRAT2104/STUDENTS/GROU...\n",
       "7   2020-08-13  /export/miro/ndeffense/LBRAT2104/STUDENTS/GROU...\n",
       "8   2020-09-14  /export/miro/ndeffense/LBRAT2104/STUDENTS/GROU...\n",
       "9   2020-10-19  /export/miro/ndeffense/LBRAT2104/STUDENTS/GROU...\n",
       "10  2020-11-18  /export/miro/ndeffense/LBRAT2104/STUDENTS/GROU...\n",
       "11  2020-12-18  /export/miro/ndeffense/LBRAT2104/STUDENTS/GROU..."
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "start_date = datetime.datetime.strptime(start, format).date()\n",
    "end_date   = datetime.datetime.strptime(end, format).date()\n",
    "\n",
    "mask = (im_date_path_df['date'] > start_date) & (im_date_path_df['date'] <= end_date)\n",
    "\n",
    "im_date_path_df = im_date_path_df.loc[mask]\n",
    "\n",
    "display(im_date_path_df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Compute zonal statistics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [],
   "source": [
    "def mean_div_std(x):\n",
    "\n",
    "    mean = np.mean(x)\n",
    "    std  = np.std(x)\n",
    "\n",
    "    result = mean / std\n",
    "\n",
    "    return result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2020-01-16\n",
      "2020-02-12\n",
      "2020-03-16\n",
      "2020-04-17\n",
      "2020-05-20\n",
      "2020-06-21\n",
      "2020-07-19\n",
      "2020-08-13\n",
      "2020-09-14\n",
      "2020-10-19\n",
      "2020-11-18\n",
      "2020-12-18\n"
     ]
    },
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>mean__16012020</th>\n",
       "      <th>valid_16012020</th>\n",
       "      <th>std___16012020</th>\n",
       "      <th>nan___16012020</th>\n",
       "      <th>mDIVs_16012020</th>\n",
       "      <th>valid_12022020</th>\n",
       "      <th>nan___12022020</th>\n",
       "      <th>mean__12022020</th>\n",
       "      <th>std___12022020</th>\n",
       "      <th>mDIVs_12022020</th>\n",
       "      <th>...</th>\n",
       "      <th>mean__18112020</th>\n",
       "      <th>valid_18112020</th>\n",
       "      <th>std___18112020</th>\n",
       "      <th>nan___18112020</th>\n",
       "      <th>mDIVs_18112020</th>\n",
       "      <th>mean__18122020</th>\n",
       "      <th>valid_18122020</th>\n",
       "      <th>std___18122020</th>\n",
       "      <th>nan___18122020</th>\n",
       "      <th>mDIVs_18122020</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.7138</td>\n",
       "      <td>14</td>\n",
       "      <td>0.0312</td>\n",
       "      <td>3</td>\n",
       "      <td>22.8455</td>\n",
       "      <td>0</td>\n",
       "      <td>17</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0.6841</td>\n",
       "      <td>17</td>\n",
       "      <td>0.0833</td>\n",
       "      <td>0</td>\n",
       "      <td>8.2141</td>\n",
       "      <td>0.6790</td>\n",
       "      <td>9</td>\n",
       "      <td>0.0630</td>\n",
       "      <td>8</td>\n",
       "      <td>10.7694</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.7415</td>\n",
       "      <td>146</td>\n",
       "      <td>0.0574</td>\n",
       "      <td>0</td>\n",
       "      <td>12.9216</td>\n",
       "      <td>0</td>\n",
       "      <td>146</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0.8539</td>\n",
       "      <td>146</td>\n",
       "      <td>0.0448</td>\n",
       "      <td>0</td>\n",
       "      <td>19.0409</td>\n",
       "      <td>0.8351</td>\n",
       "      <td>144</td>\n",
       "      <td>0.0400</td>\n",
       "      <td>2</td>\n",
       "      <td>20.8726</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.7406</td>\n",
       "      <td>16</td>\n",
       "      <td>0.0357</td>\n",
       "      <td>2</td>\n",
       "      <td>20.7215</td>\n",
       "      <td>16</td>\n",
       "      <td>2</td>\n",
       "      <td>0.4786</td>\n",
       "      <td>0.0737</td>\n",
       "      <td>6.4962</td>\n",
       "      <td>...</td>\n",
       "      <td>0.8535</td>\n",
       "      <td>18</td>\n",
       "      <td>0.0480</td>\n",
       "      <td>0</td>\n",
       "      <td>17.7676</td>\n",
       "      <td>0.6954</td>\n",
       "      <td>15</td>\n",
       "      <td>0.0386</td>\n",
       "      <td>3</td>\n",
       "      <td>17.9925</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.7697</td>\n",
       "      <td>79</td>\n",
       "      <td>0.0260</td>\n",
       "      <td>0</td>\n",
       "      <td>29.6047</td>\n",
       "      <td>0</td>\n",
       "      <td>79</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0.7640</td>\n",
       "      <td>79</td>\n",
       "      <td>0.0298</td>\n",
       "      <td>0</td>\n",
       "      <td>25.6160</td>\n",
       "      <td>0.7487</td>\n",
       "      <td>79</td>\n",
       "      <td>0.0242</td>\n",
       "      <td>0</td>\n",
       "      <td>30.9224</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.7980</td>\n",
       "      <td>39</td>\n",
       "      <td>0.0330</td>\n",
       "      <td>0</td>\n",
       "      <td>24.1716</td>\n",
       "      <td>0</td>\n",
       "      <td>39</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0.8348</td>\n",
       "      <td>39</td>\n",
       "      <td>0.0193</td>\n",
       "      <td>0</td>\n",
       "      <td>43.1866</td>\n",
       "      <td>0.7169</td>\n",
       "      <td>34</td>\n",
       "      <td>0.0484</td>\n",
       "      <td>5</td>\n",
       "      <td>14.8120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>532</th>\n",
       "      <td>0.6257</td>\n",
       "      <td>64</td>\n",
       "      <td>0.0416</td>\n",
       "      <td>0</td>\n",
       "      <td>15.0567</td>\n",
       "      <td>64</td>\n",
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       "      <td>0.5734</td>\n",
       "      <td>0.0492</td>\n",
       "      <td>11.6547</td>\n",
       "      <td>...</td>\n",
       "      <td>0.6797</td>\n",
       "      <td>64</td>\n",
       "      <td>0.0526</td>\n",
       "      <td>0</td>\n",
       "      <td>12.9094</td>\n",
       "      <td>0.6268</td>\n",
       "      <td>64</td>\n",
       "      <td>0.0401</td>\n",
       "      <td>0</td>\n",
       "      <td>15.6494</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>533</th>\n",
       "      <td>0.6394</td>\n",
       "      <td>65</td>\n",
       "      <td>0.0569</td>\n",
       "      <td>0</td>\n",
       "      <td>11.2332</td>\n",
       "      <td>65</td>\n",
       "      <td>0</td>\n",
       "      <td>0.5745</td>\n",
       "      <td>0.0571</td>\n",
       "      <td>10.0580</td>\n",
       "      <td>...</td>\n",
       "      <td>0.6395</td>\n",
       "      <td>65</td>\n",
       "      <td>0.0438</td>\n",
       "      <td>0</td>\n",
       "      <td>14.5848</td>\n",
       "      <td>0.5966</td>\n",
       "      <td>65</td>\n",
       "      <td>0.0504</td>\n",
       "      <td>0</td>\n",
       "      <td>11.8441</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>534</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12</td>\n",
       "      <td>2</td>\n",
       "      <td>0.3550</td>\n",
       "      <td>0.0127</td>\n",
       "      <td>27.9002</td>\n",
       "      <td>...</td>\n",
       "      <td>0.6449</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0047</td>\n",
       "      <td>12</td>\n",
       "      <td>136.3782</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>535</th>\n",
       "      <td>0.6236</td>\n",
       "      <td>40</td>\n",
       "      <td>0.0644</td>\n",
       "      <td>42</td>\n",
       "      <td>9.6894</td>\n",
       "      <td>1</td>\n",
       "      <td>81</td>\n",
       "      <td>0.1161</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>inf</td>\n",
       "      <td>...</td>\n",
       "      <td>0.6887</td>\n",
       "      <td>76</td>\n",
       "      <td>0.0549</td>\n",
       "      <td>6</td>\n",
       "      <td>12.5514</td>\n",
       "      <td>0.6078</td>\n",
       "      <td>44</td>\n",
       "      <td>0.0348</td>\n",
       "      <td>38</td>\n",
       "      <td>17.4622</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>536</th>\n",
       "      <td>0.6647</td>\n",
       "      <td>23</td>\n",
       "      <td>0.0568</td>\n",
       "      <td>24</td>\n",
       "      <td>11.6986</td>\n",
       "      <td>25</td>\n",
       "      <td>22</td>\n",
       "      <td>0.2398</td>\n",
       "      <td>0.0488</td>\n",
       "      <td>4.9141</td>\n",
       "      <td>...</td>\n",
       "      <td>0.6656</td>\n",
       "      <td>46</td>\n",
       "      <td>0.0475</td>\n",
       "      <td>1</td>\n",
       "      <td>14.0081</td>\n",
       "      <td>0.6038</td>\n",
       "      <td>37</td>\n",
       "      <td>0.0534</td>\n",
       "      <td>10</td>\n",
       "      <td>11.2999</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>537 rows × 60 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     mean__16012020  valid_16012020  std___16012020  nan___16012020  \\\n",
       "0            0.7138              14          0.0312               3   \n",
       "1            0.7415             146          0.0574               0   \n",
       "2            0.7406              16          0.0357               2   \n",
       "3            0.7697              79          0.0260               0   \n",
       "4            0.7980              39          0.0330               0   \n",
       "..              ...             ...             ...             ...   \n",
       "532          0.6257              64          0.0416               0   \n",
       "533          0.6394              65          0.0569               0   \n",
       "534             NaN               0             NaN              14   \n",
       "535          0.6236              40          0.0644              42   \n",
       "536          0.6647              23          0.0568              24   \n",
       "\n",
       "     mDIVs_16012020  valid_12022020  nan___12022020  mean__12022020  \\\n",
       "0           22.8455               0              17             NaN   \n",
       "1           12.9216               0             146             NaN   \n",
       "2           20.7215              16               2          0.4786   \n",
       "3           29.6047               0              79             NaN   \n",
       "4           24.1716               0              39             NaN   \n",
       "..              ...             ...             ...             ...   \n",
       "532         15.0567              64               0          0.5734   \n",
       "533         11.2332              65               0          0.5745   \n",
       "534             NaN              12               2          0.3550   \n",
       "535          9.6894               1              81          0.1161   \n",
       "536         11.6986              25              22          0.2398   \n",
       "\n",
       "     std___12022020  mDIVs_12022020  ...  mean__18112020  valid_18112020  \\\n",
       "0               NaN             NaN  ...          0.6841              17   \n",
       "1               NaN             NaN  ...          0.8539             146   \n",
       "2            0.0737          6.4962  ...          0.8535              18   \n",
       "3               NaN             NaN  ...          0.7640              79   \n",
       "4               NaN             NaN  ...          0.8348              39   \n",
       "..              ...             ...  ...             ...             ...   \n",
       "532          0.0492         11.6547  ...          0.6797              64   \n",
       "533          0.0571         10.0580  ...          0.6395              65   \n",
       "534          0.0127         27.9002  ...          0.6449               2   \n",
       "535          0.0000             inf  ...          0.6887              76   \n",
       "536          0.0488          4.9141  ...          0.6656              46   \n",
       "\n",
       "     std___18112020  nan___18112020  mDIVs_18112020  mean__18122020  \\\n",
       "0            0.0833               0          8.2141          0.6790   \n",
       "1            0.0448               0         19.0409          0.8351   \n",
       "2            0.0480               0         17.7676          0.6954   \n",
       "3            0.0298               0         25.6160          0.7487   \n",
       "4            0.0193               0         43.1866          0.7169   \n",
       "..              ...             ...             ...             ...   \n",
       "532          0.0526               0         12.9094          0.6268   \n",
       "533          0.0438               0         14.5848          0.5966   \n",
       "534          0.0047              12        136.3782             NaN   \n",
       "535          0.0549               6         12.5514          0.6078   \n",
       "536          0.0475               1         14.0081          0.6038   \n",
       "\n",
       "     valid_18122020  std___18122020  nan___18122020  mDIVs_18122020  \n",
       "0                 9          0.0630               8         10.7694  \n",
       "1               144          0.0400               2         20.8726  \n",
       "2                15          0.0386               3         17.9925  \n",
       "3                79          0.0242               0         30.9224  \n",
       "4                34          0.0484               5         14.8120  \n",
       "..              ...             ...             ...             ...  \n",
       "532              64          0.0401               0         15.6494  \n",
       "533              65          0.0504               0         11.8441  \n",
       "534               0             NaN              14             NaN  \n",
       "535              44          0.0348              38         17.4622  \n",
       "536              37          0.0534              10         11.2999  \n",
       "\n",
       "[537 rows x 60 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_list = []\n",
    "date_list = []\n",
    "\n",
    "for i, row in im_date_path_df.iterrows():\n",
    "    im_file    = row['im_path']\n",
    "    long_date  = row['date']\n",
    "\n",
    "    day   = str(long_date)[8:10]\n",
    "    month = str(long_date)[5:7]\n",
    "    year  = str(long_date)[0:4]\n",
    "    \n",
    "    print(long_date)\n",
    "\n",
    "    date_list.append(long_date)\n",
    "\n",
    "    date = day + month + year  # Year at the end because it will be truncated when saved to ESRI Shapefile\n",
    "\n",
    "    # Open GeoTIFF file\n",
    "    src = rasterio.open(im_file, 'r')\n",
    "    im_arr = src.read(1)\n",
    "    \n",
    "    # Change NaN by \"nodata_val\"\n",
    "    im_arr = np.nan_to_num(im_arr, nan=nodata_val)\n",
    "\n",
    "    # Get transform from profile (metadata)\n",
    "    profile = src.profile\n",
    "    transform = profile['transform']\n",
    "    \n",
    "    src.close()\n",
    "\n",
    "    df = pd.DataFrame(zonal_stats(gdf,\n",
    "                                  im_arr,\n",
    "                                  affine=transform,\n",
    "                                  stats=['count','nodata','mean','std'],\n",
    "                                  nodata=nodata_val,\n",
    "                                  add_stats={'mean_div_std':mean_div_std}\n",
    "                                  ))\n",
    "    \n",
    "    df = df.rename(columns={'count': f'valid_{date}','nodata': f'nan___{date}','mean': f'mean__{date}','std': f'std___{date}', 'mean_div_std':f'mDIVs_{date}'})\n",
    "\n",
    "    df[f'nan___{date}'] = df[f'nan___{date}'].fillna(0)\n",
    "    df = df.astype({f'nan___{date}': int, f'mDIVs_{date}': float})\n",
    "    \n",
    "    df_list.append(df)\n",
    "    \n",
    "\n",
    "dfs = pd.concat(df_list, axis=1).round(4)\n",
    "\n",
    "display(dfs)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot timeseries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>mean__16012020</th>\n",
       "      <th>mean__12022020</th>\n",
       "      <th>mean__16032020</th>\n",
       "      <th>mean__17042020</th>\n",
       "      <th>mean__20052020</th>\n",
       "      <th>mean__21062020</th>\n",
       "      <th>mean__19072020</th>\n",
       "      <th>mean__13082020</th>\n",
       "      <th>mean__14092020</th>\n",
       "      <th>mean__19102020</th>\n",
       "      <th>mean__18112020</th>\n",
       "      <th>mean__18122020</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.7138</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.7600</td>\n",
       "      <td>0.8569</td>\n",
       "      <td>0.8904</td>\n",
       "      <td>0.7054</td>\n",
       "      <td>0.4930</td>\n",
       "      <td>0.5632</td>\n",
       "      <td>0.7701</td>\n",
       "      <td>0.8299</td>\n",
       "      <td>0.6841</td>\n",
       "      <td>0.6790</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.7415</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.8128</td>\n",
       "      <td>0.8174</td>\n",
       "      <td>0.5072</td>\n",
       "      <td>0.7863</td>\n",
       "      <td>0.9105</td>\n",
       "      <td>0.6131</td>\n",
       "      <td>0.5675</td>\n",
       "      <td>0.5559</td>\n",
       "      <td>0.8539</td>\n",
       "      <td>0.8351</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.7406</td>\n",
       "      <td>0.4786</td>\n",
       "      <td>0.8318</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.9001</td>\n",
       "      <td>0.8394</td>\n",
       "      <td>0.8954</td>\n",
       "      <td>0.5452</td>\n",
       "      <td>0.8298</td>\n",
       "      <td>0.7781</td>\n",
       "      <td>0.8535</td>\n",
       "      <td>0.6954</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.7697</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.8018</td>\n",
       "      <td>0.8400</td>\n",
       "      <td>0.4847</td>\n",
       "      <td>0.9029</td>\n",
       "      <td>0.4884</td>\n",
       "      <td>0.5349</td>\n",
       "      <td>0.7208</td>\n",
       "      <td>0.8706</td>\n",
       "      <td>0.7640</td>\n",
       "      <td>0.7487</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.7980</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.4641</td>\n",
       "      <td>0.8309</td>\n",
       "      <td>0.8320</td>\n",
       "      <td>0.8217</td>\n",
       "      <td>0.8290</td>\n",
       "      <td>0.3623</td>\n",
       "      <td>0.4581</td>\n",
       "      <td>0.7578</td>\n",
       "      <td>0.8348</td>\n",
       "      <td>0.7169</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>532</th>\n",
       "      <td>0.6257</td>\n",
       "      <td>0.5734</td>\n",
       "      <td>0.5438</td>\n",
       "      <td>0.6859</td>\n",
       "      <td>0.9101</td>\n",
       "      <td>0.9130</td>\n",
       "      <td>0.9377</td>\n",
       "      <td>0.8739</td>\n",
       "      <td>0.8851</td>\n",
       "      <td>0.8435</td>\n",
       "      <td>0.6797</td>\n",
       "      <td>0.6268</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>533</th>\n",
       "      <td>0.6394</td>\n",
       "      <td>0.5745</td>\n",
       "      <td>0.5998</td>\n",
       "      <td>0.7141</td>\n",
       "      <td>0.9138</td>\n",
       "      <td>0.8710</td>\n",
       "      <td>0.9132</td>\n",
       "      <td>0.8554</td>\n",
       "      <td>0.8620</td>\n",
       "      <td>0.8155</td>\n",
       "      <td>0.6395</td>\n",
       "      <td>0.5966</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>534</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.3550</td>\n",
       "      <td>0.5525</td>\n",
       "      <td>0.6162</td>\n",
       "      <td>0.9080</td>\n",
       "      <td>0.7159</td>\n",
       "      <td>0.9503</td>\n",
       "      <td>0.8802</td>\n",
       "      <td>0.8603</td>\n",
       "      <td>0.8137</td>\n",
       "      <td>0.6449</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>535</th>\n",
       "      <td>0.6236</td>\n",
       "      <td>0.1161</td>\n",
       "      <td>0.5103</td>\n",
       "      <td>0.7072</td>\n",
       "      <td>0.8557</td>\n",
       "      <td>0.5647</td>\n",
       "      <td>0.8717</td>\n",
       "      <td>0.8514</td>\n",
       "      <td>0.8651</td>\n",
       "      <td>0.8027</td>\n",
       "      <td>0.6887</td>\n",
       "      <td>0.6078</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>536</th>\n",
       "      <td>0.6647</td>\n",
       "      <td>0.2398</td>\n",
       "      <td>0.6150</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.8883</td>\n",
       "      <td>0.9107</td>\n",
       "      <td>0.9244</td>\n",
       "      <td>0.9003</td>\n",
       "      <td>0.8556</td>\n",
       "      <td>0.8268</td>\n",
       "      <td>0.6656</td>\n",
       "      <td>0.6038</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>537 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     mean__16012020  mean__12022020  mean__16032020  mean__17042020  \\\n",
       "0            0.7138             NaN          0.7600          0.8569   \n",
       "1            0.7415             NaN          0.8128          0.8174   \n",
       "2            0.7406          0.4786          0.8318             NaN   \n",
       "3            0.7697             NaN          0.8018          0.8400   \n",
       "4            0.7980             NaN          0.4641          0.8309   \n",
       "..              ...             ...             ...             ...   \n",
       "532          0.6257          0.5734          0.5438          0.6859   \n",
       "533          0.6394          0.5745          0.5998          0.7141   \n",
       "534             NaN          0.3550          0.5525          0.6162   \n",
       "535          0.6236          0.1161          0.5103          0.7072   \n",
       "536          0.6647          0.2398          0.6150             NaN   \n",
       "\n",
       "     mean__20052020  mean__21062020  mean__19072020  mean__13082020  \\\n",
       "0            0.8904          0.7054          0.4930          0.5632   \n",
       "1            0.5072          0.7863          0.9105          0.6131   \n",
       "2            0.9001          0.8394          0.8954          0.5452   \n",
       "3            0.4847          0.9029          0.4884          0.5349   \n",
       "4            0.8320          0.8217          0.8290          0.3623   \n",
       "..              ...             ...             ...             ...   \n",
       "532          0.9101          0.9130          0.9377          0.8739   \n",
       "533          0.9138          0.8710          0.9132          0.8554   \n",
       "534          0.9080          0.7159          0.9503          0.8802   \n",
       "535          0.8557          0.5647          0.8717          0.8514   \n",
       "536          0.8883          0.9107          0.9244          0.9003   \n",
       "\n",
       "     mean__14092020  mean__19102020  mean__18112020  mean__18122020  \n",
       "0            0.7701          0.8299          0.6841          0.6790  \n",
       "1            0.5675          0.5559          0.8539          0.8351  \n",
       "2            0.8298          0.7781          0.8535          0.6954  \n",
       "3            0.7208          0.8706          0.7640          0.7487  \n",
       "4            0.4581          0.7578          0.8348          0.7169  \n",
       "..              ...             ...             ...             ...  \n",
       "532          0.8851          0.8435          0.6797          0.6268  \n",
       "533          0.8620          0.8155          0.6395          0.5966  \n",
       "534          0.8603          0.8137          0.6449             NaN  \n",
       "535          0.8651          0.8027          0.6887          0.6078  \n",
       "536          0.8556          0.8268          0.6656          0.6038  \n",
       "\n",
       "[537 rows x 12 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>parcel_id</th>\n",
       "      <th>value</th>\n",
       "      <th>sub_nb</th>\n",
       "      <th>sub</th>\n",
       "      <th>grp_A_nb</th>\n",
       "      <th>grp_A</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2020-01-16</td>\n",
       "      <td>0</td>\n",
       "      <td>0.7138</td>\n",
       "      <td>3199</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>3</td>\n",
       "      <td>Grassland and meadows</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2020-02-12</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3199</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>3</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2020-03-16</td>\n",
       "      <td>0</td>\n",
       "      <td>0.7600</td>\n",
       "      <td>3199</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>3</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2020-04-17</td>\n",
       "      <td>0</td>\n",
       "      <td>0.8569</td>\n",
       "      <td>3199</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>3</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2020-05-20</td>\n",
       "      <td>0</td>\n",
       "      <td>0.8904</td>\n",
       "      <td>3199</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>3</td>\n",
       "      <td>Grassland and meadows</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
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       "    <tr>\n",
       "      <th>6439</th>\n",
       "      <td>2020-08-13</td>\n",
       "      <td>536</td>\n",
       "      <td>0.9003</td>\n",
       "      <td>6999</td>\n",
       "      <td>Forest</td>\n",
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       "      <td>Forest</td>\n",
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       "    <tr>\n",
       "      <th>6440</th>\n",
       "      <td>2020-09-14</td>\n",
       "      <td>536</td>\n",
       "      <td>0.8556</td>\n",
       "      <td>6999</td>\n",
       "      <td>Forest</td>\n",
       "      <td>6</td>\n",
       "      <td>Forest</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6441</th>\n",
       "      <td>2020-10-19</td>\n",
       "      <td>536</td>\n",
       "      <td>0.8268</td>\n",
       "      <td>6999</td>\n",
       "      <td>Forest</td>\n",
       "      <td>6</td>\n",
       "      <td>Forest</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6442</th>\n",
       "      <td>2020-11-18</td>\n",
       "      <td>536</td>\n",
       "      <td>0.6656</td>\n",
       "      <td>6999</td>\n",
       "      <td>Forest</td>\n",
       "      <td>6</td>\n",
       "      <td>Forest</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6443</th>\n",
       "      <td>2020-12-18</td>\n",
       "      <td>536</td>\n",
       "      <td>0.6038</td>\n",
       "      <td>6999</td>\n",
       "      <td>Forest</td>\n",
       "      <td>6</td>\n",
       "      <td>Forest</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>6444 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            date parcel_id   value  sub_nb                    sub  grp_A_nb  \\\n",
       "0     2020-01-16         0  0.7138    3199  Grassland and meadows         3   \n",
       "1     2020-02-12         0     NaN    3199  Grassland and meadows         3   \n",
       "2     2020-03-16         0  0.7600    3199  Grassland and meadows         3   \n",
       "3     2020-04-17         0  0.8569    3199  Grassland and meadows         3   \n",
       "4     2020-05-20         0  0.8904    3199  Grassland and meadows         3   \n",
       "...          ...       ...     ...     ...                    ...       ...   \n",
       "6439  2020-08-13       536  0.9003    6999                 Forest         6   \n",
       "6440  2020-09-14       536  0.8556    6999                 Forest         6   \n",
       "6441  2020-10-19       536  0.8268    6999                 Forest         6   \n",
       "6442  2020-11-18       536  0.6656    6999                 Forest         6   \n",
       "6443  2020-12-18       536  0.6038    6999                 Forest         6   \n",
       "\n",
       "                      grp_A  \n",
       "0     Grassland and meadows  \n",
       "1     Grassland and meadows  \n",
       "2     Grassland and meadows  \n",
       "3     Grassland and meadows  \n",
       "4     Grassland and meadows  \n",
       "...                     ...  \n",
       "6439                 Forest  \n",
       "6440                 Forest  \n",
       "6441                 Forest  \n",
       "6442                 Forest  \n",
       "6443                 Forest  \n",
       "\n",
       "[6444 rows x 7 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df = dfs.filter(regex='mean')\n",
    "\n",
    "display(df)\n",
    "\n",
    "df['parcel_id'] = df.index\n",
    "\n",
    "df = df.set_index('parcel_id')\n",
    "\n",
    "df = df.transpose()\n",
    "\n",
    "df['date'] = date_list\n",
    "\n",
    "\n",
    "df = df.melt(id_vars=['date'], var_name='parcel_id')\n",
    "\n",
    "df = df.merge(gdf, left_on='parcel_id', right_on='id')\n",
    "\n",
    "df = df[['date','parcel_id','value','sub_nb','sub','grp_A_nb','grp_A']]\n",
    "\n",
    "display(df)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
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          [
           3199,
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          ],
          [
           3199,
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          [
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          [
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          [
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         ],
         "hovertemplate": "grp_A_nb=3<br>parcel_id=0<br>date=%{x}<br>value=%{y}<br>sub_nb=%{customdata[0]}<br>sub=%{customdata[1]}<extra></extra>",
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         "hovertemplate": "grp_A_nb=3<br>parcel_id=1<br>date=%{x}<br>value=%{y}<br>sub_nb=%{customdata[0]}<br>sub=%{customdata[1]}<extra></extra>",
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       "                            \n",
       "var gd = document.getElementById('f7b8acd4-203d-4235-b430-abcd5cbfe862');\n",
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       "            console.log([gd, 'removed!']);\n",
       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
       "        }}\n",
       "}});\n",
       "\n",
       "// Listen for the removal of the full notebook cells\n",
       "var notebookContainer = gd.closest('#notebook-container');\n",
       "if (notebookContainer) {{\n",
       "    x.observe(notebookContainer, {childList: true});\n",
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     },
     "metadata": {},
     "output_type": "display_data"
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   ],
   "source": [
    "fig = px.line(df,\n",
    "              x='date',\n",
    "              y='value',\n",
    "              color='grp_A_nb',\n",
    "              line_group='parcel_id',\n",
    "              hover_data=['sub_nb','sub'],\n",
    "              title= 'title')\n",
    "\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Write output to shapefile**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>id</th>\n",
       "      <th>lc_nb</th>\n",
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       "      <td>Grassland and meadows</td>\n",
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       "      <td>Grassland and meadows</td>\n",
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       "      <td>Grassland and meadows</td>\n",
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       "      <td>3</td>\n",
       "      <td>Grassland and meadows</td>\n",
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       "      <td>Grassland and meadows</td>\n",
       "      <td>319</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>3199</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>3</td>\n",
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       "      <td>2</td>\n",
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       "      <td>3</td>\n",
       "      <td>Grassland and meadows</td>\n",
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       "      <td>Grassland and meadows</td>\n",
       "      <td>319</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>3199</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>0.8535</td>\n",
       "      <td>18</td>\n",
       "      <td>0.0480</td>\n",
       "      <td>0</td>\n",
       "      <td>17.7676</td>\n",
       "      <td>0.6954</td>\n",
       "      <td>15</td>\n",
       "      <td>0.0386</td>\n",
       "      <td>3</td>\n",
       "      <td>17.9925</td>\n",
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       "      <td>3</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>31</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>319</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>3199</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>0.7640</td>\n",
       "      <td>79</td>\n",
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       "      <td>0</td>\n",
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       "      <td>0.7487</td>\n",
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       "      <td>0.0242</td>\n",
       "      <td>0</td>\n",
       "      <td>30.9224</td>\n",
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       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>31</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>319</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>3199</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>0.8348</td>\n",
       "      <td>39</td>\n",
       "      <td>0.0193</td>\n",
       "      <td>0</td>\n",
       "      <td>43.1866</td>\n",
       "      <td>0.7169</td>\n",
       "      <td>34</td>\n",
       "      <td>0.0484</td>\n",
       "      <td>5</td>\n",
       "      <td>14.8120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>532</th>\n",
       "      <td>532</td>\n",
       "      <td>6</td>\n",
       "      <td>Forest</td>\n",
       "      <td>69</td>\n",
       "      <td>Forest</td>\n",
       "      <td>699</td>\n",
       "      <td>Forest</td>\n",
       "      <td>6999</td>\n",
       "      <td>Forest</td>\n",
       "      <td>69</td>\n",
       "      <td>...</td>\n",
       "      <td>0.6797</td>\n",
       "      <td>64</td>\n",
       "      <td>0.0526</td>\n",
       "      <td>0</td>\n",
       "      <td>12.9094</td>\n",
       "      <td>0.6268</td>\n",
       "      <td>64</td>\n",
       "      <td>0.0401</td>\n",
       "      <td>0</td>\n",
       "      <td>15.6494</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>533</th>\n",
       "      <td>533</td>\n",
       "      <td>6</td>\n",
       "      <td>Forest</td>\n",
       "      <td>69</td>\n",
       "      <td>Forest</td>\n",
       "      <td>699</td>\n",
       "      <td>Forest</td>\n",
       "      <td>6999</td>\n",
       "      <td>Forest</td>\n",
       "      <td>69</td>\n",
       "      <td>...</td>\n",
       "      <td>0.6395</td>\n",
       "      <td>65</td>\n",
       "      <td>0.0438</td>\n",
       "      <td>0</td>\n",
       "      <td>14.5848</td>\n",
       "      <td>0.5966</td>\n",
       "      <td>65</td>\n",
       "      <td>0.0504</td>\n",
       "      <td>0</td>\n",
       "      <td>11.8441</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>534</th>\n",
       "      <td>534</td>\n",
       "      <td>6</td>\n",
       "      <td>Forest</td>\n",
       "      <td>69</td>\n",
       "      <td>Forest</td>\n",
       "      <td>699</td>\n",
       "      <td>Forest</td>\n",
       "      <td>6999</td>\n",
       "      <td>Forest</td>\n",
       "      <td>69</td>\n",
       "      <td>...</td>\n",
       "      <td>0.6449</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0047</td>\n",
       "      <td>12</td>\n",
       "      <td>136.3782</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>535</th>\n",
       "      <td>535</td>\n",
       "      <td>6</td>\n",
       "      <td>Forest</td>\n",
       "      <td>69</td>\n",
       "      <td>Forest</td>\n",
       "      <td>699</td>\n",
       "      <td>Forest</td>\n",
       "      <td>6999</td>\n",
       "      <td>Forest</td>\n",
       "      <td>69</td>\n",
       "      <td>...</td>\n",
       "      <td>0.6887</td>\n",
       "      <td>76</td>\n",
       "      <td>0.0549</td>\n",
       "      <td>6</td>\n",
       "      <td>12.5514</td>\n",
       "      <td>0.6078</td>\n",
       "      <td>44</td>\n",
       "      <td>0.0348</td>\n",
       "      <td>38</td>\n",
       "      <td>17.4622</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>536</th>\n",
       "      <td>536</td>\n",
       "      <td>6</td>\n",
       "      <td>Forest</td>\n",
       "      <td>69</td>\n",
       "      <td>Forest</td>\n",
       "      <td>699</td>\n",
       "      <td>Forest</td>\n",
       "      <td>6999</td>\n",
       "      <td>Forest</td>\n",
       "      <td>69</td>\n",
       "      <td>...</td>\n",
       "      <td>0.6656</td>\n",
       "      <td>46</td>\n",
       "      <td>0.0475</td>\n",
       "      <td>1</td>\n",
       "      <td>14.0081</td>\n",
       "      <td>0.6038</td>\n",
       "      <td>37</td>\n",
       "      <td>0.0534</td>\n",
       "      <td>10</td>\n",
       "      <td>11.2999</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>537 rows × 76 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      id  lc_nb                     lc  grp_nb                    grp  \\\n",
       "0      0      3  Grassland and meadows      31  Grassland and meadows   \n",
       "1      1      3  Grassland and meadows      31  Grassland and meadows   \n",
       "2      2      3  Grassland and meadows      31  Grassland and meadows   \n",
       "3      3      3  Grassland and meadows      31  Grassland and meadows   \n",
       "4      4      3  Grassland and meadows      31  Grassland and meadows   \n",
       "..   ...    ...                    ...     ...                    ...   \n",
       "532  532      6                 Forest      69                 Forest   \n",
       "533  533      6                 Forest      69                 Forest   \n",
       "534  534      6                 Forest      69                 Forest   \n",
       "535  535      6                 Forest      69                 Forest   \n",
       "536  536      6                 Forest      69                 Forest   \n",
       "\n",
       "     class_nb                  class  sub_nb                    sub  grp_1_nb  \\\n",
       "0         319  Grassland and meadows    3199  Grassland and meadows         3   \n",
       "1         319  Grassland and meadows    3199  Grassland and meadows         3   \n",
       "2         319  Grassland and meadows    3199  Grassland and meadows         3   \n",
       "3         319  Grassland and meadows    3199  Grassland and meadows         3   \n",
       "4         319  Grassland and meadows    3199  Grassland and meadows         3   \n",
       "..        ...                    ...     ...                    ...       ...   \n",
       "532       699                 Forest    6999                 Forest        69   \n",
       "533       699                 Forest    6999                 Forest        69   \n",
       "534       699                 Forest    6999                 Forest        69   \n",
       "535       699                 Forest    6999                 Forest        69   \n",
       "536       699                 Forest    6999                 Forest        69   \n",
       "\n",
       "     ... mean__18112020  valid_18112020 std___18112020  nan___18112020  \\\n",
       "0    ...         0.6841              17         0.0833               0   \n",
       "1    ...         0.8539             146         0.0448               0   \n",
       "2    ...         0.8535              18         0.0480               0   \n",
       "3    ...         0.7640              79         0.0298               0   \n",
       "4    ...         0.8348              39         0.0193               0   \n",
       "..   ...            ...             ...            ...             ...   \n",
       "532  ...         0.6797              64         0.0526               0   \n",
       "533  ...         0.6395              65         0.0438               0   \n",
       "534  ...         0.6449               2         0.0047              12   \n",
       "535  ...         0.6887              76         0.0549               6   \n",
       "536  ...         0.6656              46         0.0475               1   \n",
       "\n",
       "     mDIVs_18112020 mean__18122020  valid_18122020  std___18122020  \\\n",
       "0            8.2141         0.6790               9          0.0630   \n",
       "1           19.0409         0.8351             144          0.0400   \n",
       "2           17.7676         0.6954              15          0.0386   \n",
       "3           25.6160         0.7487              79          0.0242   \n",
       "4           43.1866         0.7169              34          0.0484   \n",
       "..              ...            ...             ...             ...   \n",
       "532         12.9094         0.6268              64          0.0401   \n",
       "533         14.5848         0.5966              65          0.0504   \n",
       "534        136.3782            NaN               0             NaN   \n",
       "535         12.5514         0.6078              44          0.0348   \n",
       "536         14.0081         0.6038              37          0.0534   \n",
       "\n",
       "     nan___18122020  mDIVs_18122020  \n",
       "0                 8         10.7694  \n",
       "1                 2         20.8726  \n",
       "2                 3         17.9925  \n",
       "3                 0         30.9224  \n",
       "4                 5         14.8120  \n",
       "..              ...             ...  \n",
       "532               0         15.6494  \n",
       "533               0         11.8441  \n",
       "534              14             NaN  \n",
       "535              38         17.4622  \n",
       "536              10         11.2999  \n",
       "\n",
       "[537 rows x 76 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SHP file was created : /export/miro/ndeffense/LBRAT2104/STUDENTS/GROUP_99/TP/ZONAL_STATS/NAMUR_2020_zonal_stat_cont_NDVI.shp\n"
     ]
    }
   ],
   "source": [
    "gdf_with_zonal_stat = pd.concat([gdf, dfs], axis=1, join=\"inner\")\n",
    "\n",
    "display(gdf_with_zonal_stat)\n",
    "\n",
    "#gdf_with_zonal_stat.columns = gdf_with_zonal_stat.columns.astype(str)\n",
    "\n",
    "\n",
    "gdf_with_zonal_stat.to_file(zonal_stat_shp)\n",
    "\n",
    "print(f'SHP file was created : {zonal_stat_shp}')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Write output to CSV**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>lc_nb</th>\n",
       "      <th>lc</th>\n",
       "      <th>grp_nb</th>\n",
       "      <th>grp</th>\n",
       "      <th>class_nb</th>\n",
       "      <th>class</th>\n",
       "      <th>sub_nb</th>\n",
       "      <th>sub</th>\n",
       "      <th>grp_1_nb</th>\n",
       "      <th>...</th>\n",
       "      <th>mean__18112020</th>\n",
       "      <th>valid_18112020</th>\n",
       "      <th>std___18112020</th>\n",
       "      <th>nan___18112020</th>\n",
       "      <th>mDIVs_18112020</th>\n",
       "      <th>mean__18122020</th>\n",
       "      <th>valid_18122020</th>\n",
       "      <th>std___18122020</th>\n",
       "      <th>nan___18122020</th>\n",
       "      <th>mDIVs_18122020</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>31</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>319</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>3199</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>0.6841</td>\n",
       "      <td>17</td>\n",
       "      <td>0.0833</td>\n",
       "      <td>0</td>\n",
       "      <td>8.2141</td>\n",
       "      <td>0.6790</td>\n",
       "      <td>9</td>\n",
       "      <td>0.0630</td>\n",
       "      <td>8</td>\n",
       "      <td>10.7694</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>31</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>319</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>3199</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>0.8539</td>\n",
       "      <td>146</td>\n",
       "      <td>0.0448</td>\n",
       "      <td>0</td>\n",
       "      <td>19.0409</td>\n",
       "      <td>0.8351</td>\n",
       "      <td>144</td>\n",
       "      <td>0.0400</td>\n",
       "      <td>2</td>\n",
       "      <td>20.8726</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>31</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>319</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>3199</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>0.8535</td>\n",
       "      <td>18</td>\n",
       "      <td>0.0480</td>\n",
       "      <td>0</td>\n",
       "      <td>17.7676</td>\n",
       "      <td>0.6954</td>\n",
       "      <td>15</td>\n",
       "      <td>0.0386</td>\n",
       "      <td>3</td>\n",
       "      <td>17.9925</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>31</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>319</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>3199</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>0.7640</td>\n",
       "      <td>79</td>\n",
       "      <td>0.0298</td>\n",
       "      <td>0</td>\n",
       "      <td>25.6160</td>\n",
       "      <td>0.7487</td>\n",
       "      <td>79</td>\n",
       "      <td>0.0242</td>\n",
       "      <td>0</td>\n",
       "      <td>30.9224</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>31</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>319</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>3199</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>0.8348</td>\n",
       "      <td>39</td>\n",
       "      <td>0.0193</td>\n",
       "      <td>0</td>\n",
       "      <td>43.1866</td>\n",
       "      <td>0.7169</td>\n",
       "      <td>34</td>\n",
       "      <td>0.0484</td>\n",
       "      <td>5</td>\n",
       "      <td>14.8120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>532</th>\n",
       "      <td>532</td>\n",
       "      <td>6</td>\n",
       "      <td>Forest</td>\n",
       "      <td>69</td>\n",
       "      <td>Forest</td>\n",
       "      <td>699</td>\n",
       "      <td>Forest</td>\n",
       "      <td>6999</td>\n",
       "      <td>Forest</td>\n",
       "      <td>69</td>\n",
       "      <td>...</td>\n",
       "      <td>0.6797</td>\n",
       "      <td>64</td>\n",
       "      <td>0.0526</td>\n",
       "      <td>0</td>\n",
       "      <td>12.9094</td>\n",
       "      <td>0.6268</td>\n",
       "      <td>64</td>\n",
       "      <td>0.0401</td>\n",
       "      <td>0</td>\n",
       "      <td>15.6494</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>533</th>\n",
       "      <td>533</td>\n",
       "      <td>6</td>\n",
       "      <td>Forest</td>\n",
       "      <td>69</td>\n",
       "      <td>Forest</td>\n",
       "      <td>699</td>\n",
       "      <td>Forest</td>\n",
       "      <td>6999</td>\n",
       "      <td>Forest</td>\n",
       "      <td>69</td>\n",
       "      <td>...</td>\n",
       "      <td>0.6395</td>\n",
       "      <td>65</td>\n",
       "      <td>0.0438</td>\n",
       "      <td>0</td>\n",
       "      <td>14.5848</td>\n",
       "      <td>0.5966</td>\n",
       "      <td>65</td>\n",
       "      <td>0.0504</td>\n",
       "      <td>0</td>\n",
       "      <td>11.8441</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>534</th>\n",
       "      <td>534</td>\n",
       "      <td>6</td>\n",
       "      <td>Forest</td>\n",
       "      <td>69</td>\n",
       "      <td>Forest</td>\n",
       "      <td>699</td>\n",
       "      <td>Forest</td>\n",
       "      <td>6999</td>\n",
       "      <td>Forest</td>\n",
       "      <td>69</td>\n",
       "      <td>...</td>\n",
       "      <td>0.6449</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0047</td>\n",
       "      <td>12</td>\n",
       "      <td>136.3782</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>535</th>\n",
       "      <td>535</td>\n",
       "      <td>6</td>\n",
       "      <td>Forest</td>\n",
       "      <td>69</td>\n",
       "      <td>Forest</td>\n",
       "      <td>699</td>\n",
       "      <td>Forest</td>\n",
       "      <td>6999</td>\n",
       "      <td>Forest</td>\n",
       "      <td>69</td>\n",
       "      <td>...</td>\n",
       "      <td>0.6887</td>\n",
       "      <td>76</td>\n",
       "      <td>0.0549</td>\n",
       "      <td>6</td>\n",
       "      <td>12.5514</td>\n",
       "      <td>0.6078</td>\n",
       "      <td>44</td>\n",
       "      <td>0.0348</td>\n",
       "      <td>38</td>\n",
       "      <td>17.4622</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>536</th>\n",
       "      <td>536</td>\n",
       "      <td>6</td>\n",
       "      <td>Forest</td>\n",
       "      <td>69</td>\n",
       "      <td>Forest</td>\n",
       "      <td>699</td>\n",
       "      <td>Forest</td>\n",
       "      <td>6999</td>\n",
       "      <td>Forest</td>\n",
       "      <td>69</td>\n",
       "      <td>...</td>\n",
       "      <td>0.6656</td>\n",
       "      <td>46</td>\n",
       "      <td>0.0475</td>\n",
       "      <td>1</td>\n",
       "      <td>14.0081</td>\n",
       "      <td>0.6038</td>\n",
       "      <td>37</td>\n",
       "      <td>0.0534</td>\n",
       "      <td>10</td>\n",
       "      <td>11.2999</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>537 rows × 75 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      id  lc_nb                     lc  grp_nb                    grp  \\\n",
       "0      0      3  Grassland and meadows      31  Grassland and meadows   \n",
       "1      1      3  Grassland and meadows      31  Grassland and meadows   \n",
       "2      2      3  Grassland and meadows      31  Grassland and meadows   \n",
       "3      3      3  Grassland and meadows      31  Grassland and meadows   \n",
       "4      4      3  Grassland and meadows      31  Grassland and meadows   \n",
       "..   ...    ...                    ...     ...                    ...   \n",
       "532  532      6                 Forest      69                 Forest   \n",
       "533  533      6                 Forest      69                 Forest   \n",
       "534  534      6                 Forest      69                 Forest   \n",
       "535  535      6                 Forest      69                 Forest   \n",
       "536  536      6                 Forest      69                 Forest   \n",
       "\n",
       "     class_nb                  class  sub_nb                    sub  grp_1_nb  \\\n",
       "0         319  Grassland and meadows    3199  Grassland and meadows         3   \n",
       "1         319  Grassland and meadows    3199  Grassland and meadows         3   \n",
       "2         319  Grassland and meadows    3199  Grassland and meadows         3   \n",
       "3         319  Grassland and meadows    3199  Grassland and meadows         3   \n",
       "4         319  Grassland and meadows    3199  Grassland and meadows         3   \n",
       "..        ...                    ...     ...                    ...       ...   \n",
       "532       699                 Forest    6999                 Forest        69   \n",
       "533       699                 Forest    6999                 Forest        69   \n",
       "534       699                 Forest    6999                 Forest        69   \n",
       "535       699                 Forest    6999                 Forest        69   \n",
       "536       699                 Forest    6999                 Forest        69   \n",
       "\n",
       "     ... mean__18112020  valid_18112020 std___18112020  nan___18112020  \\\n",
       "0    ...         0.6841              17         0.0833               0   \n",
       "1    ...         0.8539             146         0.0448               0   \n",
       "2    ...         0.8535              18         0.0480               0   \n",
       "3    ...         0.7640              79         0.0298               0   \n",
       "4    ...         0.8348              39         0.0193               0   \n",
       "..   ...            ...             ...            ...             ...   \n",
       "532  ...         0.6797              64         0.0526               0   \n",
       "533  ...         0.6395              65         0.0438               0   \n",
       "534  ...         0.6449               2         0.0047              12   \n",
       "535  ...         0.6887              76         0.0549               6   \n",
       "536  ...         0.6656              46         0.0475               1   \n",
       "\n",
       "     mDIVs_18112020  mean__18122020  valid_18122020  std___18122020  \\\n",
       "0            8.2141          0.6790               9          0.0630   \n",
       "1           19.0409          0.8351             144          0.0400   \n",
       "2           17.7676          0.6954              15          0.0386   \n",
       "3           25.6160          0.7487              79          0.0242   \n",
       "4           43.1866          0.7169              34          0.0484   \n",
       "..              ...             ...             ...             ...   \n",
       "532         12.9094          0.6268              64          0.0401   \n",
       "533         14.5848          0.5966              65          0.0504   \n",
       "534        136.3782             NaN               0             NaN   \n",
       "535         12.5514          0.6078              44          0.0348   \n",
       "536         14.0081          0.6038              37          0.0534   \n",
       "\n",
       "     nan___18122020  mDIVs_18122020  \n",
       "0                 8         10.7694  \n",
       "1                 2         20.8726  \n",
       "2                 3         17.9925  \n",
       "3                 0         30.9224  \n",
       "4                 5         14.8120  \n",
       "..              ...             ...  \n",
       "532               0         15.6494  \n",
       "533               0         11.8441  \n",
       "534              14             NaN  \n",
       "535              38         17.4622  \n",
       "536              10         11.2999  \n",
       "\n",
       "[537 rows x 75 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CSV file was created : /export/miro/ndeffense/LBRAT2104/STUDENTS/GROUP_99/TP/ZONAL_STATS/NAMUR_2020_zonal_stat_cont_NDVI.csv\n"
     ]
    }
   ],
   "source": [
    "gdf_with_zonal_stat = pd.concat([gdf, dfs], axis=1, join=\"inner\")\n",
    "\n",
    "gdf_with_zonal_stat = gdf_with_zonal_stat.drop(columns='geometry')\n",
    "\n",
    "display(gdf_with_zonal_stat)\n",
    "\n",
    "gdf_with_zonal_stat.to_csv(zonal_stat_csv, sep=';')\n",
    "\n",
    "print(f'CSV file was created : {zonal_stat_csv}')"
   ]
  }
 ],
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