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    "## Data ## \n",
    "import numpy as np\n",
    "import pandas as pd \n",
    "import os \n",
    "\n",
    "## Visualization ## \n",
    "import matplotlib.pyplot as plt \n",
    "import plotly.express as px\n",
    "import seaborn as sns\n",
    "import plotly.graph_objects as go \n",
    "\n",
    "## Image ## \n",
    "import cv2\n",
    "from tensorflow.keras.preprocessing.image import ImageDataGenerator \n",
    "\n",
    "## Tensorflow ## \n",
    "from tensorflow.keras.models import Sequential, Model\n",
    "from tensorflow.keras.layers import Input, Dense , Conv2D , Dropout , Flatten , Activation, MaxPooling2D , GlobalAveragePooling2D\n",
    "from tensorflow.keras.optimizers import Adam , RMSprop \n",
    "from tensorflow.keras.layers import BatchNormalization\n",
    "from tensorflow.keras.callbacks import ReduceLROnPlateau , EarlyStopping , ModelCheckpoint , LearningRateScheduler\n",
    "from tensorflow.keras.applications import ResNet50V2\n",
    "from tensorflow.keras.applications import Xception"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "4421fb67",
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>class id</th>\n",
       "      <th>filepaths</th>\n",
       "      <th>labels</th>\n",
       "      <th>data set</th>\n",
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      "text/plain": [
       "   class id                                          filepaths  labels  \\\n",
       "0         0  C:/Users/Nishat/OneDrive/Desktop/New folder/bu...  ADONIS   \n",
       "1         0  C:/Users/Nishat/OneDrive/Desktop/New folder/bu...  ADONIS   \n",
       "2         0  C:/Users/Nishat/OneDrive/Desktop/New folder/bu...  ADONIS   \n",
       "3         0  C:/Users/Nishat/OneDrive/Desktop/New folder/bu...  ADONIS   \n",
       "4         0  C:/Users/Nishat/OneDrive/Desktop/New folder/bu...  ADONIS   \n",
       "\n",
       "  data set  \n",
       "0    train  \n",
       "1    train  \n",
       "2    train  \n",
       "3    train  \n",
       "4    train  "
      ]
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   "source": [
    "df = pd.read_csv('C:/Users/Nishat/OneDrive/Desktop/New folder/butterflyImages/butterflies and moths.csv')  \n",
    "IMAGE_DIR = 'C:/Users/Nishat/OneDrive/Desktop/New folder/butterflyImages/'\n",
    "df['filepaths'] = IMAGE_DIR + '/' + df['filepaths']\n",
    "df.head()"
   ]
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   "id": "675556e1",
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    "train_df = df.loc[df['data set'] == 'train']\n",
    "val_df = df.loc[df['data set'] == 'valid']\n",
    "test_df = df.loc[df['data set'] == 'test']"
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       "/*!\n",
       " * The buffer module from node.js, for the browser.\n",
       " *\n",
       " * @author   Feross Aboukhadijeh <https://feross.org>\n",
       " * @license  MIT\n",
       " */\n",
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r=L(8/(3*y)),i=e/r;return[t/(r*(1-n(i)/y)),i]},mt.invert=function(t,e){var r=2-n(e)/L(2*y/3);return[t*L(6*y)/(2*r),d(e)*S((4-r*r)/3)]},gt.invert=function(t,e){var r=L(y*(4+y))/2;return[t*r/(1+L(1-e*e*(4+y)/(4*y))),e*r/2]},vt.invert=function(t,e){var r=e*L((4+y)/y)/2,n=S(r),i=o(n);return[t/(2/L(y*(4+y))*(1+i)),S((n+r*(i+2))/(2+x))]},yt.invert=function(t,e){var r=L(2+y),n=e*r/2;return[r*t/(1+o(n)),n]},xt.invert=function(t,e){var r=1+x,n=L(r/2);return[2*t*n/(1+o(e*=n)),S((e+m(e))/r)]};var bt=3+2*w;function _t(t,e){var r=m(t/=2),n=o(t),a=L(o(e)),s=o(e/=2),l=m(e)/(s+w*n*a),u=L(2/(1+l*l)),f=L((w*s+(n+r)*a)/(w*s+(n-r)*a));return[bt*(u*(f-1/f)-2*c(f)),bt*(u*l*(f+1/f)-2*i(l))]}_t.invert=function(t,e){if(!(r=D.invert(t/1.2,1.065*e)))return null;var r,a=r[0],s=r[1],l=20;t/=bt,e/=bt;do{var h=a/2,p=s/2,d=m(h),g=o(h),y=m(p),b=o(p),T=o(s),k=L(T),A=y/(b+w*g*k),M=A*A,S=L(2/(1+M)),E=(w*b+(g+d)*k)/(w*b+(g-d)*k),C=L(E),P=C-1/C,I=C+1/C,O=S*P-2*c(C)-t,z=S*A*I-2*i(A)-e,R=y&&_*k*d*M/y,F=(w*g*b+k)/(2*(b+w*g*k)*(b+w*g*k)*k),B=-.5*A*S*S*S,N=B*R,j=B*F,U=(U=2*b+w*k*(g-d))*U*C,V=(w*g*b*k+T)/U,H=-w*d*y/(k*U),q=P*N-2*V/C+S*(V+V/E),G=P*j-2*H/C+S*(H+H/E),Y=A*I*N-2*R/(1+M)+S*I*R+S*A*(V-V/E),W=A*I*j-2*F/(1+M)+S*I*F+S*A*(H-H/E),Z=G*Y-W*q;if(!Z)break;var X=(z*G-O*W)/Z,J=(O*Y-z*q)/Z;a-=X,s=u(-x,f(x,s-J))}while((n(X)>v||n(J)>v)&&--l>0);return n(n(s)-x)<v?[0,s]:l&&[a,s]};var wt=o(35*M);function Tt(t,e){var r=g(e/2);return[t*wt*L(1-r*r),(1+wt)*r]}function kt(t,e){var r=e/2,n=o(r);return[2*t/T*o(e)*n*n,T*g(r)]}function At(t){var e=1-t,r=i(y,0)[0]-i(-y,0)[0],n=L(2*(i(0,x)[1]-i(0,-x)[1])/r);function i(r,n){var i=o(n),a=m(n);return[i/(e+t*i)*r,e*n+t*a]}function a(t,e){var r=i(t,e);return[r[0]*n,r[1]/n]}function s(t){return a(0,t)[1]}return a.invert=function(r,i){var a=V(s,i);return[r/n*(t+e/o(a)),a]},a}function Mt(t){return[t[0]/2,S(g(t[1]/2*M))*A]}function St(t){return[2*t[0],2*i(m(t[1]*M))*A]}function Et(t,r){var i=2*y/r,s=t*t;function l(r,l){var c=e.geoAzimuthalEquidistantRaw(r,l),u=c[0],f=c[1],h=u*u+f*f;if(h>s){var d=L(h),g=a(f,u),b=i*p(g/i),_=g-b,w=t*o(_),T=(t*m(_)-_*m(w))/(x-w),k=Lt(_,T),A=(y-t)/Ct(k,w,y);u=d;var M,S=50;do{u-=M=(t+Ct(k,w,u)*A-d)/(k(u)*A)}while(n(M)>v&&--S>0);f=_*m(u),u<x&&(f-=T*(u-x));var E=m(b),C=o(b);c[0]=u*C-f*E,c[1]=u*E+f*C}return c}return l.invert=function(r,l){var c=r*r+l*l;if(c>s){var u=L(c),f=a(l,r),h=i*p(f/i),d=f-h;r=u*o(d),l=u*m(d);for(var g=r-x,v=m(r),b=l/v,_=r<x?1/0:0,w=10;;){var T=t*m(b),k=t*o(b),A=m(k),M=x-k,S=(T-b*A)/M,E=Lt(b,S);if(n(_)<1e-12||!--w)break;b-=_=(b*v-S*g-l)/(v-2*g*(M*(k+b*T*o(k)-A)-T*(T-b*A))/(M*M))}r=(u=t+Ct(E,k,r)*(y-t)/Ct(E,k,y))*o(f=h+b),l=u*m(f)}return e.geoAzimuthalEquidistantRaw.invert(r,l)},l}function Lt(t,e){return function(r){var n=t*o(r);return r<x&&(n-=e),L(1+n*n)}}function 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float fontSize, charStep, em, align, baseline;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform vec4 color;\\n\\t\\t\\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\\n\\t\\t\\t\\t\\t+ vec2(positionOffset.x, -positionOffset.y)))\\n\\t\\t\\t\\t\\t/ (viewport.zw * scale.xy);\\n\\n\\t\\t\\t\\tvec2 position = (position + translate) * scale;\\n\\t\\t\\t\\tposition += offset * scale;\\n\\n\\t\\t\\t\\tcharCoord = position * viewport.zw + viewport.xy;\\n\\n\\t\\t\\t\\tgl_Position = vec4(position * 2. - 1., 0, 1);\\n\\n\\t\\t\\t\\tgl_PointSize = charStep;\\n\\n\\t\\t\\t\\tcharId.x = mod(char, atlasDim.x);\\n\\t\\t\\t\\tcharId.y = floor(char / atlasDim.x);\\n\\n\\t\\t\\t\\tcharWidth = width * em;\\n\\n\\t\\t\\t\\tfontColor = color / 255.;\\n\\t\\t\\t}\",frag:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tuniform float fontSize, charStep, opacity;\\n\\t\\t\\tuniform vec2 atlasSize;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform sampler2D atlas;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\n\\t\\t\\tfloat lightness(vec4 color) {\\n\\t\\t\\t\\treturn color.r * 0.299 + color.g * 0.587 + color.b * 0.114;\\n\\t\\t\\t}\\n\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 uv = gl_FragCoord.xy - charCoord + charStep * .5;\\n\\t\\t\\t\\tfloat halfCharStep = floor(charStep * .5 + .5);\\n\\n\\t\\t\\t\\t// invert y and shift by 1px (FF expecially needs that)\\n\\t\\t\\t\\tuv.y = charStep - uv.y;\\n\\n\\t\\t\\t\\t// ignore points outside of character bounding box\\n\\t\\t\\t\\tfloat halfCharWidth = ceil(charWidth * .5);\\n\\t\\t\\t\\tif (floor(uv.x) > halfCharStep + halfCharWidth ||\\n\\t\\t\\t\\t\\tfloor(uv.x) < halfCharStep - halfCharWidth) return;\\n\\n\\t\\t\\t\\tuv += charId * charStep;\\n\\t\\t\\t\\tuv = uv / atlasSize;\\n\\n\\t\\t\\t\\tvec4 color = fontColor;\\n\\t\\t\\t\\tvec4 mask = texture2D(atlas, uv);\\n\\n\\t\\t\\t\\tfloat maskY = lightness(mask);\\n\\t\\t\\t\\t// float colorY = lightness(color);\\n\\t\\t\\t\\tcolor.a *= maskY;\\n\\t\\t\\t\\tcolor.a *= opacity;\\n\\n\\t\\t\\t\\t// color.a += .1;\\n\\n\\t\\t\\t\\t// antialiasing, see yiq color space y-channel formula\\n\\t\\t\\t\\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\\n\\n\\t\\t\\t\\tgl_FragColor = color;\\n\\t\\t\\t}\"});return{regl:t,draw:e,atlas:{}}},T.prototype.update=function(t){var e=this;if(\"string\"==typeof t)t={text:t};else if(!t)return;null!=(t=i(t,{position:\"position positions coord coords coordinates\",font:\"font fontFace fontface typeface cssFont css-font family fontFamily\",fontSize:\"fontSize fontsize size font-size\",text:\"text texts chars characters value values symbols\",align:\"align alignment textAlign textbaseline\",baseline:\"baseline textBaseline textbaseline\",direction:\"dir direction textDirection\",color:\"color colour fill fill-color fillColor textColor textcolor\",kerning:\"kerning kern\",range:\"range dataBox\",viewport:\"vp viewport viewBox viewbox viewPort\",opacity:\"opacity alpha transparency visible visibility opaque\",offset:\"offset positionOffset padding shift indent indentation\"},!0)).opacity&&(Array.isArray(t.opacity)?this.opacity=t.opacity.map((function(t){return parseFloat(t)})):this.opacity=parseFloat(t.opacity)),null!=t.viewport&&(this.viewport=f(t.viewport),this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null==this.viewport&&(this.viewport={x:0,y:0,width:this.gl.drawingBufferWidth,height:this.gl.drawingBufferHeight},this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null!=t.kerning&&(this.kerning=t.kerning),null!=t.offset&&(\"number\"==typeof t.offset&&(t.offset=[t.offset,0]),this.positionOffset=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 K=0;K<this.batch.length;K++)this.batch[K]={count:this.counts.length>1?this.counts[K]:this.counts[0],offset:this.textOffsets.length>1?this.textOffsets[K]:this.textOffsets[0],color:this.color?this.color.length<=4?this.color:this.color.subarray(4*K,4*K+4):[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[K]:this.opacity,baseline:null!=this.baselineOffset[K]?this.baselineOffset[K]:this.baselineOffset[0],align:this.align?null!=this.alignOffset[K]?this.alignOffset[K]:this.alignOffset[0]:0,atlas:this.fontAtlas[K]||this.fontAtlas[0],positionOffset:this.positionOffset.length>2?this.positionOffset.subarray(2*K,2*K+2):this.positionOffset}}else this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[]},T.prototype.destroy=function(){},T.prototype.kerning=!0,T.prototype.position={constant:new Float32Array(2)},T.prototype.translate=null,T.prototype.scale=null,T.prototype.font=null,T.prototype.text=\"\",T.prototype.positionOffset=[0,0],T.prototype.opacity=1,T.prototype.color=new Uint8Array([0,0,0,255]),T.prototype.alignOffset=[0,0],T.maxAtlasSize=1024,T.atlasCanvas=document.createElement(\"canvas\"),T.atlasContext=T.atlasCanvas.getContext(\"2d\",{alpha:!1}),T.baseFontSize=64,T.fonts={},e.exports=T},{\"bit-twiddle\":81,\"color-normalize\":89,\"css-font\":99,\"detect-kerning\":125,\"es6-weak-map\":183,\"flatten-vertex-data\":191,\"font-atlas\":192,\"font-measure\":193,\"gl-util/context\":226,\"is-plain-obj\":236,\"object-assign\":247,\"parse-rect\":249,\"parse-unit\":251,\"pick-by-alias\":253,regl:284,\"to-px\":315,\"typedarray-pool\":328}],226:[function(t,e,r){(function(r){(function(){\"use strict\";var n=t(\"pick-by-alias\");function i(t){if(t.container)if(t.container==document.body)document.body.style.width||(t.canvas.width=t.width||t.pixelRatio*r.innerWidth),document.body.style.height||(t.canvas.height=t.height||t.pixelRatio*r.innerHeight);else{var 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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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10 Labels Distribution\"}},                        {\"responsive\": true}                    ).then(function(){\n",
       "                            \n",
       "var gd = document.getElementById('7dc61464-a5a3-4363-886f-92133eb83fc2');\n",
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       "        var display = window.getComputedStyle(gd).display;\n",
       "        if (!display || display === 'none') {{\n",
       "            console.log([gd, 'removed!']);\n",
       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
       "        }}\n",
       "}});\n",
       "\n",
       "// Listen for the removal of the full notebook cells\n",
       "var notebookContainer = gd.closest('#notebook-container');\n",
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "label_counts = df['labels'].value_counts()[:10]\n",
    "\n",
    "fig = px.bar(x=label_counts.index, \n",
    "             y=label_counts.values,\n",
    "             color=label_counts.values,\n",
    "             text=label_counts.values,\n",
    "             color_continuous_scale='Blues')\n",
    "\n",
    "fig.update_layout(\n",
    "    title_text='Top 10 Labels Distribution',\n",
    "    template='plotly_white',\n",
    "    xaxis=dict(\n",
    "        title='Label',\n",
    "    ),\n",
    "    yaxis=dict(\n",
    "        title='Count',\n",
    "    )\n",
    ")\n",
    "\n",
    "fig.update_traces(marker_line_color='black', \n",
    "                  marker_line_width=1.5, \n",
    "                  opacity=0.8)\n",
    " \n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "f4417cd1",
   "metadata": {},
   "outputs": [],
   "source": [
    "def show_grid_images(image_path_list, ncols, title, augmentor=None):\n",
    "    figure, axs = plt.subplots(figsize=(22,4), nrows=1, ncols=ncols)\n",
    "    for i in range(ncols):\n",
    "        image = cv2.cvtColor(cv2.imread(image_path_list[i]), cv2.COLOR_BGR2RGB)\n",
    "        if augmentor is not None:\n",
    "            image = augmentor(image=image)['image']\n",
    "        axs[i].imshow(image)\n",
    "        axs[i].set_title(title)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "afc3d6e1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2200x400 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2200x400 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2200x400 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualize top 3 most distributed dataset images\n",
    "top3_labels = label_counts[:3].index.tolist()\n",
    "\n",
    "cloak_image_list = df.loc[df['labels']==top3_labels[0]]['filepaths'].iloc[:6].tolist()\n",
    "hairstreak_image_list = df.loc[df['labels']==top3_labels[1]]['filepaths'].iloc[:6].tolist() \n",
    "argus_image_list = df.loc[df['labels']==top3_labels[2]]['filepaths'].iloc[:6].tolist()\n",
    "\n",
    "show_grid_images(cloak_image_list, ncols=6, title='Mourning Cloak')\n",
    "show_grid_images(hairstreak_image_list, ncols=6, title='Green Hairstreak')\n",
    "show_grid_images(argus_image_list, ncols=6, title='Brown Argus')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "f62ce361",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Found 12594 images belonging to 100 classes.\n",
      "Found 500 images belonging to 100 classes.\n"
     ]
    }
   ],
   "source": [
    "# only train data needs to be augmented \n",
    "train_gen = ImageDataGenerator(horizontal_flip=True, vertical_flip=True, rescale=1/255.)\n",
    "val_gen = ImageDataGenerator(rescale=1/255.)\n",
    "\n",
    "train_dir = 'C:/Users/Nishat/OneDrive/Desktop/New folder/butterflyImages/train'\n",
    "val_dir = 'C:/Users/Nishat/OneDrive/Desktop/New folder/butterflyImages/valid'\n",
    "\n",
    "BATCH_SIZE = 64\n",
    "SEED = 56\n",
    "IMAGE_SIZE = (244, 244)\n",
    "\n",
    "train_flow_gen = train_gen.flow_from_directory(directory=train_dir,\n",
    "                                              class_mode='sparse',\n",
    "                                              batch_size=BATCH_SIZE,\n",
    "                                              target_size=IMAGE_SIZE,\n",
    "                                              seed=SEED)\n",
    "\n",
    "val_flow_gen = val_gen.flow_from_directory(directory=val_dir,\n",
    "                                            class_mode='sparse',\n",
    "                                            batch_size=BATCH_SIZE,\n",
    "                                            target_size=IMAGE_SIZE,\n",
    "                                            seed=SEED)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "6b0e718e",
   "metadata": {},
   "outputs": [],
   "source": [
    "def create_model(model_name, verbose=False):\n",
    "    \n",
    "    input_tensor = Input(shape=(224, 224, 3))\n",
    "    \n",
    "    if model_name == 'resnet50':\n",
    "        base_model = ResNet50V2(input_tensor=input_tensor, include_top=False, weights='imagenet')\n",
    "    elif model_name == 'xception':\n",
    "        base_model = Xception(input_tensor=input_tensor, include_top=False, weights='imagenet')\n",
    "    \n",
    "    bm_output = base_model.output\n",
    "\n",
    "    x = GlobalAveragePooling2D()(bm_output)\n",
    "    x = Dense(1024, activation='relu')(x)\n",
    "    x = Dropout(rate=0.5)(x)\n",
    "    output = Dense(100, activation='softmax')(x)\n",
    "    model = Model(inputs=input_tensor, outputs=output)\n",
    "    \n",
    "    if verbose:\n",
    "        model.summary()\n",
    "        \n",
    "    return model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "e172eb87",
   "metadata": {},
   "outputs": [],
   "source": [
    "xception_model = create_model(model_name='xception', verbose=False)\n",
    "xception_model.compile(optimizer=Adam(learning_rate=0.001), loss='sparse_categorical_crossentropy', metrics=['accuracy'])\n",
    "\n",
    "rlr_cb = ReduceLROnPlateau(monitor='val_loss', factor=0.2, patience=3, mode='min', verbose=0)\n",
    "early_cb = EarlyStopping(monitor='val_loss', patience=5, mode='min', verbose=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "7135de19",
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'xception_model' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "Cell \u001b[1;32mIn[1], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m \u001b[43mxception_model\u001b[49m\u001b[38;5;241m.\u001b[39mfit(train_flow_gen, epochs\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m5\u001b[39m,\n\u001b[0;32m      2\u001b[0m          steps_per_epoch\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mint\u001b[39m(np\u001b[38;5;241m.\u001b[39mceil(train_df\u001b[38;5;241m.\u001b[39mshape[\u001b[38;5;241m0\u001b[39m]\u001b[38;5;241m/\u001b[39mBATCH_SIZE)),\n\u001b[0;32m      3\u001b[0m          validation_data\u001b[38;5;241m=\u001b[39mval_flow_gen,\n\u001b[0;32m      4\u001b[0m          validation_steps\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mint\u001b[39m(np\u001b[38;5;241m.\u001b[39mceil(val_df\u001b[38;5;241m.\u001b[39mshape[\u001b[38;5;241m0\u001b[39m]\u001b[38;5;241m/\u001b[39mBATCH_SIZE)),\n\u001b[0;32m      5\u001b[0m          callbacks\u001b[38;5;241m=\u001b[39m[rlr_cb, early_cb])\n",
      "\u001b[1;31mNameError\u001b[0m: name 'xception_model' is not defined"
     ]
    }
   ],
   "source": [
    "xception_model.fit(train_flow_gen, epochs=5,\n",
    "         steps_per_epoch=int(np.ceil(train_df.shape[0]/BATCH_SIZE)),\n",
    "         validation_data=val_flow_gen,\n",
    "         validation_steps=int(np.ceil(val_df.shape[0]/BATCH_SIZE)),\n",
    "         callbacks=[rlr_cb, early_cb])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fa45b277",
   "metadata": {},
   "outputs": [],
   "source": [
    "test_dir = 'C:/Users/Nishat/OneDrive/Desktop/New folder/butterflyImages/test'\n",
    "test_gen = ImageDataGenerator(rescale=1/255.)\n",
    "test_flow_gen = test_gen.flow_from_directory(directory=test_dir,\n",
    "                                             class_mode='sparse',\n",
    "                                             batch_size=BATCH_SIZE,\n",
    "                                             target_size=IMAGE_SIZE,\n",
    "                                             seed=SEED)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2ec0d00b",
   "metadata": {},
   "outputs": [],
   "source": [
    "print('Xception Test Data Accuracy: {0}'.format(xception_model.evaluate(test_flow_gen)[1:][0]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "912a2a76",
   "metadata": {},
   "outputs": [],
   "source": [
    "resnet_model = create_model(model_name='resnet50', verbose=False)\n",
    "resnet_model.compile(optimizer=Adam(lr=0.001), loss='sparse_categorical_crossentropy', metrics=['accuracy'])\n",
    "\n",
    "rlr_cb = ReduceLROnPlateau(monitor='val_loss', factor=0.2, patience=3, mode='min', verbose=0)\n",
    "early_cb = EarlyStopping(monitor='val_loss', patience=5, mode='min', verbose=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "40f1b81f",
   "metadata": {},
   "outputs": [],
   "source": [
    "resnet_model.fit(train_flow_gen, epochs=15,\n",
    "         steps_per_epoch=int(np.ceil(train_df.shape[0]/BATCH_SIZE)),\n",
    "         validation_data=val_flow_gen,\n",
    "         validation_steps=int(np.ceil(val_df.shape[0]/BATCH_SIZE)),\n",
    "         callbacks=[rlr_cb, early_cb])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "972d706b",
   "metadata": {},
   "outputs": [],
   "source": [
    "print('ResNet Test Data Accuracy: {0}'.format(resnet_model.evaluate(test_flow_gen)[1:][0]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9f5b6dae",
   "metadata": {},
   "outputs": [],
   "source": [
    "models = ['Xception', 'ResNet50']\n",
    "validation_accuracy = [0.9938, 0.9674]\n",
    "test_accuracy = [0.9720, 0.9620]\n",
    "\n",
    "fig = go.Figure(data=[\n",
    "    go.Bar(name='Validation Dataset Accuracy',\n",
    "          x=models,\n",
    "          y=validation_accuracy,\n",
    "          text=validation_accuracy,\n",
    "          marker_color='#219ebc'),\n",
    "    go.Bar(name='Validation Dataset Accuracy',\n",
    "          x=models,\n",
    "          y=test_accuracy,\n",
    "          text=test_accuracy,\n",
    "          marker_color='#ffb703'),\n",
    "])\n",
    "\n",
    "fig.update_layout(\n",
    "    title_text='Model Comparison',\n",
    "    barmode='group',\n",
    "    xaxis=dict(\n",
    "        title='Model',\n",
    "        titlefont_size=16\n",
    "    ),\n",
    "    yaxis=dict(\n",
    "        title='Accuracy',\n",
    "        titlefont_size=16\n",
    "    ),\n",
    "    template='plotly_white'\n",
    ")\n",
    "\n",
    "fig.update_traces(marker_line_color='black', \n",
    "                  marker_line_width=2, \n",
    "                  opacity=0.8)\n",
    "\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "619b3c2a",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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