{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from PIL import Image\n",
    "import numpy as np\n",
    "from pathlib import Path\n",
    "from editor.visualisation import display_images, plot_histograms_in_3d\n",
    "\n",
    "base = Path(\"ground_truth\")\n",
    "in_image = Image.open(base / \"scotland_house.png\")\n",
    "ref_image = Image.open(base / \"scotland_plain.png\")\n",
    "ground_truth_image = Image.open(base / \"result_IDT.png\")\n",
    "img_ground_truth_with_regrain = Image.open(base / \"result_IDT_regrain.png\")\n",
    "\n",
    "# PT = ColorTransfer(iteration_count=20)\n",
    "\n",
    "# predicted_image = Image.fromarray(PT(\n",
    "#     img_arr_in= np.array(in_image), img_arr_ref= np.array(ref_image), regrain=False\n",
    "# ))\n",
    "\n",
    "# predicted_image_with_regrain = Image.fromarray(PT(\n",
    "#     img_arr_in= np.array(in_image), img_arr_ref= np.array(ref_image), regrain=True\n",
    "# ))\n",
    "\n",
    "# display_images(\n",
    "#     {\n",
    "#         \"Input\": in_image,\n",
    "#         \"Reference\": ref_image,\n",
    "#         \"Predicted\": predicted_image,\n",
    "#         \"Ground Truth\": ground_truth_image,\n",
    "#         \"Predicted with regrain\": predicted_image_with_regrain,\n",
    "#         \"Ground Truth with regrain\": img_ground_truth_with_regrain\n",
    "#     },\n",
    "#     images_per_row=2\n",
    "# )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "def error(img1, img2):\n",
    "    num_pixel_components = (\n",
    "        np.array(img1).shape[0] * np.array(img1).shape[1] * np.array(img1).shape[2]\n",
    "    )\n",
    "    return (\n",
    "        np.sum(\n",
    "            np.abs(np.array(img1).astype(np.int32) - np.array(img2).astype(np.int32))\n",
    "        )\n",
    "        / num_pixel_components\n",
    "    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# import matplotlib.pyplot as plt\n",
    "# sphere_points = fibonacci_sphere(1000)  # More points for a smoother sphere visualization\n",
    "\n",
    "# fig = plt.figure(figsize=(8, 8))\n",
    "# ax = fig.add_subplot(111, projection='3d')\n",
    "\n",
    "# # Extract x, y, z coordinates\n",
    "# x = [p[0] for p in sphere_points]\n",
    "# y = [p[1] for p in sphere_points]\n",
    "# z = [p[2] for p in sphere_points]\n",
    "\n",
    "# # Plot points\n",
    "# ax.scatter(x, y, z)\n",
    "# ax.set_title('Uniform Distribution on a Sphere using Fibonacci Lattice')\n",
    "# ax.set_xlabel('X')\n",
    "# ax.set_ylabel('Y')\n",
    "# ax.set_zlabel('Z')\n",
    "\n",
    "# plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
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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),X=G*Y-W*q;if(!X)break;var Z=(z*G-O*W)/X,J=(O*Y-z*q)/X;a-=Z,s=u(-x,f(x,s-J))}while((n(Z)>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 X=t.color.length;q=u.mallocUint8(4*X);for(var Z=0;Z<X;Z++)q.set(l(t.color[Z]||0,\"uint8\"),4*Z)}this.color=q}else this.color=l(t.color,\"uint8\");if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity)if(this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2){var J=Math.max(.5*this.position.length||0,.25*this.color.length||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,.5*this.positionOffset.length||0);this.batch=Array(J);for(var 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:283,\"to-px\":314,\"typedarray-pool\":327}],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,Xe=Math.PI/180,Ze=180/Math.PI;function Je(t){return t>.008856451679035631?Math.pow(t,1/3):t/We+4/29}function Ke(t){return t>Ye?t*t*t:We*(t-4/29)}function Qe(t){return 255*(t<=.0031308?12.92*t:1.055*Math.pow(t,1/2.4)-.055)}function $e(t){return(t/=255)<=.04045?t/12.92:Math.pow((t+.055)/1.055,2.4)}function tr(t){var e=$e(t.r),r=$e(t.g),n=$e(t.b),i=Je((.4124564*e+.3575761*r+.1804375*n)/.95047),a=Je((.2126729*e+.7151522*r+.072175*n)/1);return{l:116*a-16,a:500*(i-a),b:200*(a-Je((.0193339*e+.119192*r+.9503041*n)/1.08883)),alpha:t.a}}function er(t){var e=(t.l+16)/116,r=isNaN(t.a)?e:e+t.a/500,n=isNaN(t.b)?e:e-t.b/200;return e=1*Ke(e),r=.95047*Ke(r),n=1.08883*Ke(n),new te(Qe(3.2404542*r-1.5371385*e-.4985314*n),Qe(-.969266*r+1.8760108*e+.041556*n),Qe(.0556434*r-.2040259*e+1.0572252*n),t.alpha)}function rr(t,e,r){var n=e-t;return t+r*(n>180||n<-180?n-360*Math.round(n/360):n)}var nr={forward:tr,reverse:er,interpolate:function(t,e,r){return{l:qe(t.l,e.l,r),a:qe(t.a,e.a,r),b:qe(t.b,e.b,r),alpha:qe(t.alpha,e.alpha,r)}}},ir={forward:function(t){var e=tr(t),r=e.l,n=e.a,i=e.b,a=Math.atan2(i,n)*Ze;return{h:a<0?a+360:a,c:Math.sqrt(n*n+i*i),l:r,alpha:t.a}},reverse:function(t){var e=t.h*Xe,r=t.c;return er({l:t.l,a:Math.cos(e)*r,b:Math.sin(e)*r,alpha:t.alpha})},interpolate:function(t,e,r){return{h:rr(t.h,e.h,r),c:qe(t.c,e.c,r),l:qe(t.l,e.l,r),alpha:qe(t.alpha,e.alpha,r)}}},ar=Object.freeze({__proto__:null,lab:nr,hcl:ir}),or=function(t,e,r,n,i){this.type=t,this.operator=e,this.interpolation=r,this.input=n,this.labels=[],this.outputs=[];for(var a=0,o=i;a<o.length;a+=1){var s=o[a],l=s[0],c=s[1];this.labels.push(l),this.outputs.push(c)}};function sr(t,e,r,n){var i=n-r,a=t-r;return 0===i?0:1===e?a/i:(Math.pow(e,a)-1)/(Math.pow(e,i)-1)}or.interpolationFactor=function(t,e,n,i){var a=0;if(\"exponential\"===t.name)a=sr(e,t.base,n,i);else if(\"linear\"===t.name)a=sr(e,1,n,i);else if(\"cubic-bezier\"===t.name){var o=t.controlPoints;a=new r(o[0],o[1],o[2],o[3]).solve(sr(e,1,n,i))}return a},or.parse=function(t,e){var r=t[0],n=t[1],i=t[2],a=t.slice(3);if(!Array.isArray(n)||0===n.length)return e.error(\"Expected an interpolation type expression.\",1);if(\"linear\"===n[0])n={name:\"linear\"};else if(\"exponential\"===n[0]){var o=n[1];if(\"number\"!=typeof o)return e.error(\"Exponential interpolation requires a numeric base.\",1,1);n={name:\"exponential\",base:o}}else{if(\"cubic-bezier\"!==n[0])return e.error(\"Unknown interpolation type \"+String(n[0]),1,0);var s=n.slice(1);if(4!==s.length||s.some((function(t){return\"number\"!=typeof t||t<0||t>1})))return e.error(\"Cubic bezier interpolation requires four numeric arguments with values between 0 and 1.\",1);n={name:\"cubic-bezier\",controlPoints:s}}if(t.length-1<4)return e.error(\"Expected at least 4 arguments, but found only \"+(t.length-1)+\".\");if((t.length-1)%2!=0)return e.error(\"Expected an even number of arguments.\");if(!(i=e.parse(i,2,Bt)))return null;var l=[],c=null;\"interpolate-hcl\"===r||\"interpolate-lab\"===r?c=Ut:e.expectedType&&\"value\"!==e.expectedType.kind&&(c=e.expectedType);for(var u=0;u<a.length;u+=2){var f=a[u],h=a[u+1],p=u+3,d=u+4;if(\"number\"!=typeof f)return e.error('Input/output pairs for 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a=Ve(e,n),o=e[a],s=e[a+1],l=or.interpolationFactor(this.interpolation,n,o,s),c=r[a].evaluate(t),u=r[a+1].evaluate(t);return\"interpolate\"===this.operator?Ge[this.type.kind.toLowerCase()](c,u,l):\"interpolate-hcl\"===this.operator?ir.reverse(ir.interpolate(ir.forward(c),ir.forward(u),l)):nr.reverse(nr.interpolate(nr.forward(c),nr.forward(u),l))},or.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1){t(r[e])}},or.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},or.prototype.serialize=function(){var t;t=\"linear\"===this.interpolation.name?[\"linear\"]:\"exponential\"===this.interpolation.name?1===this.interpolation.base?[\"linear\"]:[\"exponential\",this.interpolation.base]:[\"cubic-bezier\"].concat(this.interpolation.controlPoints);for(var e=[this.operator,t,this.input.serialize()],r=0;r<this.labels.length;r++)e.push(this.labels[r],this.outputs[r].serialize());return e};var lr=function(t,e){this.type=t,this.args=e};lr.parse=function(t,e){if(t.length<2)return e.error(\"Expectected at least one argument.\");var r=null,n=e.expectedType;n&&\"value\"!==n.kind&&(r=n);for(var i=[],a=0,o=t.slice(1);a<o.length;a+=1){var s=o[a],l=e.parse(s,1+i.length,r,void 0,{typeAnnotation:\"omit\"});if(!l)return null;r=r||l.type,i.push(l)}var c=n&&i.some((function(t){return Jt(n,t.type)}));return new lr(c?Ht:r,i)},lr.prototype.evaluate=function(t){for(var e,r=null,n=0,i=0,a=this.args;i<a.length;i+=1){if(n++,(r=a[i].evaluate(t))&&r instanceof ie&&!r.available&&(e||(e=r.name),r=null,n===this.args.length&&(r=e)),null!==r)break}return r},lr.prototype.eachChild=function(t){this.args.forEach(t)},lr.prototype.outputDefined=function(){return this.args.every((function(t){return t.outputDefined()}))},lr.prototype.serialize=function(){var t=[\"coalesce\"];return this.eachChild((function(e){t.push(e.serialize())})),t};var cr=function(t,e){this.type=e.type,this.bindings=[].concat(t),this.result=e};cr.prototype.evaluate=function(t){return this.result.evaluate(t)},cr.prototype.eachChild=function(t){for(var e=0,r=this.bindings;e<r.length;e+=1){t(r[e][1])}t(this.result)},cr.parse=function(t,e){if(t.length<4)return e.error(\"Expected at least 3 arguments, but found \"+(t.length-1)+\" instead.\");for(var r=[],n=1;n<t.length-1;n+=2){var i=t[n];if(\"string\"!=typeof i)return e.error(\"Expected string, but found \"+typeof i+\" instead.\",n);if(/[^a-zA-Z0-9_]/.test(i))return e.error(\"Variable names must contain only alphanumeric characters or '_'.\",n);var a=e.parse(t[n+1],n+1);if(!a)return null;r.push([i,a])}var o=e.parse(t[t.length-1],t.length-1,e.expectedType,r);return o?new cr(r,o):null},cr.prototype.outputDefined=function(){return this.result.outputDefined()},cr.prototype.serialize=function(){for(var t=[\"let\"],e=0,r=this.bindings;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];t.push(i,a.serialize())}return t.push(this.result.serialize()),t};var ur=function(t,e,r){this.type=t,this.index=e,this.input=r};ur.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Bt),n=e.parse(t[2],2,Wt(e.expectedType||Ht));if(!r||!n)return null;var i=n.type;return new ur(i.itemType,r,n)},ur.prototype.evaluate=function(t){var e=this.index.evaluate(t),r=this.input.evaluate(t);if(e<0)throw new ue(\"Array index out of bounds: \"+e+\" < 0.\");if(e>=r.length)throw new ue(\"Array index out of bounds: \"+e+\" > \"+(r.length-1)+\".\");if(e!==Math.floor(e))throw new ue(\"Array index must be an integer, but found \"+e+\" instead.\");return r[e]},ur.prototype.eachChild=function(t){t(this.index),t(this.input)},ur.prototype.outputDefined=function(){return!1},ur.prototype.serialize=function(){return[\"at\",this.index.serialize(),this.input.serialize()]};var fr=function(t,e){this.type=jt,this.needle=t,this.haystack=e};fr.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Ht),n=e.parse(t[2],2,Ht);return r&&n?Kt(r.type,[jt,Nt,Bt,Ft,Ht])?new fr(r,n):e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(r.type)+\" instead\"):null},fr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!r)return!1;if(!Qt(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new ue(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(se(e))+\" instead.\");if(!Qt(r,[\"string\",\"array\"]))throw new ue(\"Expected second argument to be of type array or string, but found \"+Xt(se(r))+\" instead.\");return r.indexOf(e)>=0},fr.prototype.eachChild=function(t){t(this.needle),t(this.haystack)},fr.prototype.outputDefined=function(){return!0},fr.prototype.serialize=function(){return[\"in\",this.needle.serialize(),this.haystack.serialize()]};var hr=function(t,e,r){this.type=Bt,this.needle=t,this.haystack=e,this.fromIndex=r};hr.parse=function(t,e){if(t.length<=2||t.length>=5)return e.error(\"Expected 3 or 4 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Ht),n=e.parse(t[2],2,Ht);if(!r||!n)return null;if(!Kt(r.type,[jt,Nt,Bt,Ft,Ht]))return e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(r.type)+\" instead\");if(4===t.length){var i=e.parse(t[3],3,Bt);return i?new hr(r,n,i):null}return new hr(r,n)},hr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!Qt(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new ue(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(se(e))+\" instead.\");if(!Qt(r,[\"string\",\"array\"]))throw new ue(\"Expected second argument to be of type array or string, but found \"+Xt(se(r))+\" instead.\");if(this.fromIndex){var n=this.fromIndex.evaluate(t);return r.indexOf(e,n)}return r.indexOf(e)},hr.prototype.eachChild=function(t){t(this.needle),t(this.haystack),this.fromIndex&&t(this.fromIndex)},hr.prototype.outputDefined=function(){return!1},hr.prototype.serialize=function(){if(null!=this.fromIndex&&void 0!==this.fromIndex){var t=this.fromIndex.serialize();return[\"index-of\",this.needle.serialize(),this.haystack.serialize(),t]}return[\"index-of\",this.needle.serialize(),this.haystack.serialize()]};var pr=function(t,e,r,n,i,a){this.inputType=t,this.type=e,this.input=r,this.cases=n,this.outputs=i,this.otherwise=a};pr.parse=function(t,e){if(t.length<5)return e.error(\"Expected at least 4 arguments, but found only \"+(t.length-1)+\".\");if(t.length%2!=1)return e.error(\"Expected an even number of 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m?\"value\"!==d.type.kind&&e.concat(1).checkSubtype(r,d.type)?null:new pr(r,n,d,i,a,m):null},pr.prototype.evaluate=function(t){var e=this.input.evaluate(t);return(se(e)===this.inputType&&this.outputs[this.cases[e]]||this.otherwise).evaluate(t)},pr.prototype.eachChild=function(t){t(this.input),this.outputs.forEach(t),t(this.otherwise)},pr.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))&&this.otherwise.outputDefined()},pr.prototype.serialize=function(){for(var t=this,e=[\"match\",this.input.serialize()],r=[],n={},i=0,a=Object.keys(this.cases).sort();i<a.length;i+=1){var o=a[i];void 0===(f=n[this.cases[o]])?(n[this.cases[o]]=r.length,r.push([this.cases[o],[o]])):r[f][1].push(o)}for(var s=function(e){return\"number\"===t.inputType.kind?Number(e):e},l=0,c=r;l<c.length;l+=1){var u=c[l],f=u[0],h=u[1];1===h.length?e.push(s(h[0])):e.push(h.map(s)),e.push(this.outputs[outputIndex$1].serialize())}return e.push(this.otherwise.serialize()),e};var dr=function(t,e,r){this.type=t,this.branches=e,this.otherwise=r};dr.parse=function(t,e){if(t.length<4)return e.error(\"Expected at least 3 arguments, but found only \"+(t.length-1)+\".\");if(t.length%2!=0)return e.error(\"Expected an odd number of arguments.\");var r;e.expectedType&&\"value\"!==e.expectedType.kind&&(r=e.expectedType);for(var n=[],i=1;i<t.length-1;i+=2){var a=e.parse(t[i],i,jt);if(!a)return null;var o=e.parse(t[i+1],i+1,r);if(!o)return null;n.push([a,o]),r=r||o.type}var s=e.parse(t[t.length-1],t.length-1,r);return s?new dr(r,n,s):null},dr.prototype.evaluate=function(t){for(var e=0,r=this.branches;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];if(i.evaluate(t))return a.evaluate(t)}return this.otherwise.evaluate(t)},dr.prototype.eachChild=function(t){for(var e=0,r=this.branches;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];t(i),t(a)}t(this.otherwise)},dr.prototype.outputDefined=function(){return this.branches.every((function(t){t[0];return 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or?a.interpolation:void 0;return Ir(new Zr(n?\"camera\":\"composite\",t.value,a.labels,o))}Zr.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)},Zr.prototype.evaluate=function(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)},Zr.prototype.interpolationFactor=function(t,e,r){return this.interpolationType?or.interpolationFactor(this.interpolationType,t,e,r):0};var Kr=function(t,e){this._parameters=t,this._specification=e,It(this,function t(e,r){var n,i,a,o=\"color\"===r.type,s=e.stops&&\"object\"==typeof e.stops[0][0],l=s||void 0!==e.property,c=s||!l,u=e.type||(Rr(r)?\"exponential\":\"interval\");if(o&&((e=It({},e)).stops&&(e.stops=e.stops.map((function(t){return[t[0],te.parse(t[1])]}))),e.default?e.default=te.parse(e.default):e.default=te.parse(r.default)),e.colorSpace&&\"rgb\"!==e.colorSpace&&!ar[e.colorSpace])throw new Error(\"Unknown color space: 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n&&r<n.minimum?[new Ct(e,r,r+\" is less than the minimum value \"+n.minimum)]:\"maximum\"in n&&r>n.maximum?[new Ct(e,r,r+\" is greater than the maximum value \"+n.maximum)]:[]}function en(t){var e,r,n,i=t.valueSpec,a=Ot(t.value.type),o={},s=\"categorical\"!==a&&void 0===t.value.property,l=!s,c=\"array\"===Fr(t.value.stops)&&\"array\"===Fr(t.value.stops[0])&&\"object\"===Fr(t.value.stops[0][0]),u=Qr({key:t.key,value:t.value,valueSpec:t.styleSpec.function,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{stops:function(t){if(\"identity\"===a)return[new Ct(t.key,t.value,'identity function may not have a \"stops\" property')];var e=[],r=t.value;e=e.concat($r({key:t.key,value:r,valueSpec:t.valueSpec,style:t.style,styleSpec:t.styleSpec,arrayElementValidator:f})),\"array\"===Fr(r)&&0===r.length&&e.push(new Ct(t.key,r,\"array must have at least one stop\"));return e},default:function(t){return kn({key:t.key,value:t.value,valueSpec:i,style:t.style,styleSpec:t.styleSpec})}}});return\"identity\"===a&&s&&u.push(new Ct(t.key,t.value,'missing required property \"property\"')),\"identity\"===a||t.value.stops||u.push(new Ct(t.key,t.value,'missing required property \"stops\"')),\"exponential\"===a&&t.valueSpec.expression&&!Rr(t.valueSpec)&&u.push(new Ct(t.key,t.value,\"exponential functions not supported\")),t.styleSpec.$version>=8&&(l&&!zr(t.valueSpec)?u.push(new Ct(t.key,t.value,\"property functions not supported\")):s&&!Dr(t.valueSpec)&&u.push(new Ct(t.key,t.value,\"zoom functions not supported\"))),\"categorical\"!==a&&!c||void 0!==t.value.property||u.push(new Ct(t.key,t.value,'\"property\" property is required')),u;function f(t){var e=[],a=t.value,s=t.key;if(\"array\"!==Fr(a))return[new Ct(s,a,\"array expected, \"+Fr(a)+\" found\")];if(2!==a.length)return[new Ct(s,a,\"array length 2 expected, length \"+a.length+\" found\")];if(c){if(\"object\"!==Fr(a[0]))return[new Ct(s,a,\"object expected, \"+Fr(a[0])+\" found\")];if(void 0===a[0].zoom)return[new Ct(s,a,\"object stop key must have zoom\")];if(void 0===a[0].value)return[new Ct(s,a,\"object stop key must have value\")];if(n&&n>Ot(a[0].zoom))return[new Ct(s,a[0].zoom,\"stop zoom values must appear in ascending order\")];Ot(a[0].zoom)!==n&&(n=Ot(a[0].zoom),r=void 0,o={}),e=e.concat(Qr({key:s+\"[0]\",value:a[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:tn,value:h}}))}else e=e.concat(h({key:s+\"[0]\",value:a[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},a));return Yr(zt(a[1]))?e.concat([new Ct(s+\"[1]\",a[1],\"expressions are not allowed in function stops.\")]):e.concat(kn({key:s+\"[1]\",value:a[1],valueSpec:i,style:t.style,styleSpec:t.styleSpec}))}function h(t,n){var s=Fr(t.value),l=Ot(t.value),c=null!==t.value?t.value:n;if(e){if(s!==e)return[new Ct(t.key,c,s+\" stop domain type must match previous stop domain type \"+e)]}else e=s;if(\"number\"!==s&&\"string\"!==s&&\"boolean\"!==s)return[new Ct(t.key,c,\"stop domain value must be a number, string, or boolean\")];if(\"number\"!==s&&\"categorical\"!==a){var u=\"number expected, \"+s+\" found\";return zr(i)&&void 0===a&&(u+='\\nIf you intended to use a categorical function, specify `\"type\": \"categorical\"`.'),[new Ct(t.key,c,u)]}return\"categorical\"!==a||\"number\"!==s||isFinite(l)&&Math.floor(l)===l?\"categorical\"!==a&&\"number\"===s&&void 0!==r&&l<r?[new Ct(t.key,c,\"stop domain values must appear in ascending order\")]:(r=l,\"categorical\"===a&&l in o?[new Ct(t.key,c,\"stop domain values must be unique\")]:(o[l]=!0,[])):[new Ct(t.key,c,\"integer expected, found \"+l)]}}function rn(t){var e=(\"property\"===t.expressionContext?Jr:Wr)(zt(t.value),t.valueSpec);if(\"error\"===e.result)return e.value.map((function(e){return new Ct(\"\"+t.key+e.key,t.value,e.message)}));var r=e.value.expression||e.value._styleExpression.expression;if(\"property\"===t.expressionContext&&\"text-font\"===t.propertyKey&&!r.outputDefined())return[new Ct(t.key,t.value,'Invalid data expression for \"'+t.propertyKey+'\". Output values must be contained as literals within the expression.')];if(\"property\"===t.expressionContext&&\"layout\"===t.propertyType&&!Be(r))return[new Ct(t.key,t.value,'\"feature-state\" data expressions are not supported with layout properties.')];if(\"filter\"===t.expressionContext&&!Be(r))return[new Ct(t.key,t.value,'\"feature-state\" data expressions are not supported with filters.')];if(t.expressionContext&&0===t.expressionContext.indexOf(\"cluster\")){if(!Ne(r,[\"zoom\",\"feature-state\"]))return[new Ct(t.key,t.value,'\"zoom\" and \"feature-state\" expressions are not supported with cluster properties.')];if(\"cluster-initial\"===t.expressionContext&&!Fe(r))return[new Ct(t.key,t.value,\"Feature data expressions are not supported with initial expression part of cluster properties.\")]}return[]}function nn(t){var e=t.key,r=t.value,n=t.valueSpec,i=[];return Array.isArray(n.values)?-1===n.values.indexOf(Ot(r))&&i.push(new Ct(e,r,\"expected one of [\"+n.values.join(\", \")+\"], 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on={type:\"boolean\",default:!1,transition:!1,\"property-type\":\"data-driven\",expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]}};function sn(t){if(null==t)return{filter:function(){return!0},needGeometry:!1};an(t)||(t=cn(t));var e=Wr(t,on);if(\"error\"===e.result)throw new Error(e.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return{filter:function(t,r,n){return e.value.evaluate(t,r,{},n)},needGeometry:function t(e){if(!Array.isArray(e))return!1;if(\"within\"===e[0])return!0;for(var r=1;r<e.length;r++)if(t(e[r]))return!0;return!1}(t)}}function ln(t,e){return t<e?-1:t>e?1:0}function cn(t){if(!t)return!0;var e,r=t[0];return t.length<=1?\"any\"!==r:\"==\"===r?un(t[1],t[2],\"==\"):\"!=\"===r?pn(un(t[1],t[2],\"==\")):\"<\"===r||\">\"===r||\"<=\"===r||\">=\"===r?un(t[1],t[2],r):\"any\"===r?(e=t.slice(1),[\"any\"].concat(e.map(cn))):\"all\"===r?[\"all\"].concat(t.slice(1).map(cn)):\"none\"===r?[\"all\"].concat(t.slice(1).map(cn).map(pn)):\"in\"===r?fn(t[1],t.slice(2)):\"!in\"===r?pn(fn(t[1],t.slice(2))):\"has\"===r?hn(t[1]):\"!has\"===r?pn(hn(t[1])):\"within\"!==r||t}function un(t,e,r){switch(t){case\"$type\":return[\"filter-type-\"+r,e];case\"$id\":return[\"filter-id-\"+r,e];default:return[\"filter-\"+r,t,e]}}function fn(t,e){if(0===e.length)return!1;switch(t){case\"$type\":return[\"filter-type-in\",[\"literal\",e]];case\"$id\":return[\"filter-id-in\",[\"literal\",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?[\"filter-in-large\",t,[\"literal\",e.sort(ln)]]:[\"filter-in-small\",t,[\"literal\",e]]}}function hn(t){switch(t){case\"$type\":return!0;case\"$id\":return[\"filter-has-id\"];default:return[\"filter-has\",t]}}function pn(t){return[\"!\",t]}function dn(t){return an(zt(t.value))?rn(It({},t,{expressionContext:\"filter\",valueSpec:{value:\"boolean\"}})):function t(e){var r=e.value,n=e.key;if(\"array\"!==Fr(r))return[new Ct(n,r,\"array expected, \"+Fr(r)+\" found\")];var i,a=e.styleSpec,o=[];if(r.length<1)return[new Ct(n,r,\"filter array must have at least 1 element\")];switch(o=o.concat(nn({key:n+\"[0]\",value:r[0],valueSpec:a.filter_operator,style:e.style,styleSpec:e.styleSpec})),Ot(r[0])){case\"<\":case\"<=\":case\">\":case\">=\":r.length>=2&&\"$type\"===Ot(r[1])&&o.push(new Ct(n,r,'\"$type\" cannot be use with operator \"'+r[0]+'\"'));case\"==\":case\"!=\":3!==r.length&&o.push(new Ct(n,r,'filter array for operator \"'+r[0]+'\" must have 3 elements'));case\"in\":case\"!in\":r.length>=2&&\"string\"!==(i=Fr(r[1]))&&o.push(new Ct(n+\"[1]\",r[1],\"string expected, \"+i+\" 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r=t.key,n=t.style,i=t.styleSpec,a=t.value,o=t.objectKey,s=i[e+\"_\"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if(\"paint\"===e&&l&&s[l[1]]&&s[l[1]].transition)return kn({key:r,value:a,valueSpec:i.transition,style:n,styleSpec:i});var c,u=t.valueSpec||s[o];if(!u)return[new Ct(r,a,'unknown property \"'+o+'\"')];if(\"string\"===Fr(a)&&zr(u)&&!u.tokens&&(c=/^{([^}]+)}$/.exec(a)))return[new Ct(r,a,'\"'+o+'\" does not support interpolation syntax\\nUse an identity property function instead: `{ \"type\": \"identity\", \"property\": '+JSON.stringify(c[1])+\" }`.\")];var f=[];return\"symbol\"===t.layerType&&(\"text-field\"===o&&n&&!n.glyphs&&f.push(new Ct(r,a,'use of \"text-field\" requires a style \"glyphs\" property')),\"text-font\"===o&&Br(zt(a))&&\"identity\"===Ot(a.type)&&f.push(new Ct(r,a,'\"text-font\" does not support identity 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null!=hi.applyArabicShaping&&null!=hi.processBidirectionalText&&null!=hi.processStyledBidirectionalText},getPluginURL:function(){return oi}},pi=function(t,e){this.zoom=t,e?(this.now=e.now,this.fadeDuration=e.fadeDuration,this.zoomHistory=e.zoomHistory,this.transition=e.transition):(this.now=0,this.fadeDuration=0,this.zoomHistory=new Gn,this.transition={})};pi.prototype.isSupportedScript=function(t){return function(t,e){for(var r=0,n=t;r<n.length;r+=1){if(!Qn(n[r].charCodeAt(0),e))return!1}return!0}(t,hi.isLoaded())},pi.prototype.crossFadingFactor=function(){return 0===this.fadeDuration?1:Math.min((this.now-this.zoomHistory.lastIntegerZoomTime)/this.fadeDuration,1)},pi.prototype.getCrossfadeParameters=function(){var t=this.zoom,e=t-Math.floor(t),r=this.crossFadingFactor();return t>this.zoomHistory.lastIntegerZoom?{fromScale:2,toScale:1,t:e+(1-e)*r}:{fromScale:.5,toScale:1,t:1-(1-r)*e}};var di=function(t,e){this.property=t,this.value=e,this.expression=function(t,e){if(Br(t))return new Kr(t,e);if(Yr(t)){var r=Jr(t,e);if(\"error\"===r.result)throw new Error(r.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return r.value}var n=t;return\"string\"==typeof t&&\"color\"===e.type&&(n=te.parse(t)),{kind:\"constant\",evaluate:function(){return n}}}(void 0===e?t.specification.default:e,t.specification)};di.prototype.isDataDriven=function(){return\"source\"===this.expression.kind||\"composite\"===this.expression.kind},di.prototype.possiblyEvaluate=function(t,e,r){return this.property.possiblyEvaluate(this,t,e,r)};var mi=function(t){this.property=t,this.value=new di(t,void 0)};mi.prototype.transitioned=function(t,e){return new vi(this.property,this.value,e,u({},t.transition,this.transition),t.now)},mi.prototype.untransitioned=function(){return new vi(this.property,this.value,null,{},0)};var gi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitionablePropertyValues)};gi.prototype.getValue=function(t){return x(this._values[t].value.value)},gi.prototype.setValue=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new mi(this._values[t].property)),this._values[t].value=new di(this._values[t].property,null===e?void 0:x(e))},gi.prototype.getTransition=function(t){return x(this._values[t].transition)},gi.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new mi(this._values[t].property)),this._values[t].transition=x(e)||void 0},gi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i);var a=this.getTransition(n);void 0!==a&&(t[n+\"-transition\"]=a)}return t},gi.prototype.transitioned=function(t,e){for(var r=new yi(this._properties),n=0,i=Object.keys(this._values);n<i.length;n+=1){var a=i[n];r._values[a]=this._values[a].transitioned(t,e._values[a])}return r},gi.prototype.untransitioned=function(){for(var t=new yi(this._properties),e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e];t._values[n]=this._values[n].untransitioned()}return t};var vi=function(t,e,r,n,i){this.property=t,this.value=e,this.begin=i+n.delay||0,this.end=this.begin+n.duration||0,t.specification.transition&&(n.delay||n.duration)&&(this.prior=r)};vi.prototype.possiblyEvaluate=function(t,e,r){var n=t.now||0,i=this.value.possiblyEvaluate(t,e,r),a=this.prior;if(a){if(n>this.end)return this.prior=null,i;if(this.value.isDataDriven())return this.prior=null,i;if(n<this.begin)return a.possiblyEvaluate(t,e,r);var o=(n-this.begin)/(this.end-this.begin);return this.property.interpolate(a.possiblyEvaluate(t,e,r),i,function(t){if(t<=0)return 0;if(t>=1)return 1;var e=t*t,r=e*t;return 4*(t<.5?r:3*(t-e)+r-.75)}(o))}return i};var yi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};yi.prototype.possiblyEvaluate=function(t,e,r){for(var n=new _i(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n},yi.prototype.hasTransition=function(){for(var t=0,e=Object.keys(this._values);t<e.length;t+=1){var r=e[t];if(this._values[r].prior)return!0}return!1};var xi=function(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)};xi.prototype.getValue=function(t){return x(this._values[t].value)},xi.prototype.setValue=function(t,e){this._values[t]=new di(this._values[t].property,null===e?void 0:x(e))},xi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i)}return t},xi.prototype.possiblyEvaluate=function(t,e,r){for(var n=new _i(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n};var bi=function(t,e,r){this.property=t,this.value=e,this.parameters=r};bi.prototype.isConstant=function(){return\"constant\"===this.value.kind},bi.prototype.constantOr=function(t){return\"constant\"===this.value.kind?this.value.value:t},bi.prototype.evaluate=function(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)};var _i=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};_i.prototype.get=function(t){return this._values[t]};var wi=function(t){this.specification=t};wi.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},wi.prototype.interpolate=function(t,e,r){var n=Ge[this.specification.type];return n?n(t,e,r):t};var Ti=function(t,e){this.specification=t,this.overrides=e};Ti.prototype.possiblyEvaluate=function(t,e,r,n){return\"constant\"===t.expression.kind||\"camera\"===t.expression.kind?new bi(this,{kind:\"constant\",value:t.expression.evaluate(e,null,{},r,n)},e):new bi(this,t.expression,e)},Ti.prototype.interpolate=function(t,e,r){if(\"constant\"!==t.value.kind||\"constant\"!==e.value.kind)return t;if(void 0===t.value.value||void 0===e.value.value)return new bi(this,{kind:\"constant\",value:void 0},t.parameters);var n=Ge[this.specification.type];return n?new bi(this,{kind:\"constant\",value:n(t.value.value,e.value.value,r)},t.parameters):t},Ti.prototype.evaluate=function(t,e,r,n,i,a){return\"constant\"===t.kind?t.value:t.evaluate(e,r,n,i,a)};var ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0===t.value)return new bi(this,{kind:\"constant\",value:void 0},e);if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n),a=\"resolvedImage\"===t.property.specification.type&&\"string\"!=typeof i?i.name:i,o=this._calculate(a,a,a,e);return new bi(this,{kind:\"constant\",value:o},e)}if(\"camera\"===t.expression.kind){var s=this._calculate(t.expression.evaluate({zoom:e.zoom-1}),t.expression.evaluate({zoom:e.zoom}),t.expression.evaluate({zoom:e.zoom+1}),e);return new bi(this,{kind:\"constant\",value:s},e)}return new bi(this,t.expression,e)},e.prototype.evaluate=function(t,e,r,n,i,a){if(\"source\"===t.kind){var o=t.evaluate(e,r,n,i,a);return this._calculate(o,o,o,e)}return\"composite\"===t.kind?this._calculate(t.evaluate({zoom:Math.floor(e.zoom)-1},r,n),t.evaluate({zoom:Math.floor(e.zoom)},r,n),t.evaluate({zoom:Math.floor(e.zoom)+1},r,n),e):t.value},e.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},e.prototype.interpolate=function(t){return t},e}(Ti),Ai=function(t){this.specification=t};Ai.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0!==t.value){if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n);return this._calculate(i,i,i,e)}return this._calculate(t.expression.evaluate(new pi(Math.floor(e.zoom-1),e)),t.expression.evaluate(new pi(Math.floor(e.zoom),e)),t.expression.evaluate(new pi(Math.floor(e.zoom+1),e)),e)}},Ai.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},Ai.prototype.interpolate=function(t){return t};var Mi=function(t){this.specification=t};Mi.prototype.possiblyEvaluate=function(t,e,r,n){return!!t.expression.evaluate(e,null,{},r,n)},Mi.prototype.interpolate=function(){return!1};var Si=function(t){for(var e in this.properties=t,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[],t){var r=t[e];r.specification.overridable&&this.overridableProperties.push(e);var n=this.defaultPropertyValues[e]=new di(r,void 0),i=this.defaultTransitionablePropertyValues[e]=new mi(r);this.defaultTransitioningPropertyValues[e]=i.untransitioned(),this.defaultPossiblyEvaluatedValues[e]=n.possiblyEvaluate({})}};Nn(\"DataDrivenProperty\",Ti),Nn(\"DataConstantProperty\",wi),Nn(\"CrossFadedDataDrivenProperty\",ki),Nn(\"CrossFadedProperty\",Ai),Nn(\"ColorRampProperty\",Mi);var Ei=function(t){function e(e,r){if(t.call(this),this.id=e.id,this.type=e.type,this._featureFilter={filter:function(){return!0},needGeometry:!1},\"custom\"!==e.type&&(e=e,this.metadata=e.metadata,this.minzoom=e.minzoom,this.maxzoom=e.maxzoom,\"background\"!==e.type&&(this.source=e.source,this.sourceLayer=e[\"source-layer\"],this.filter=e.filter),r.layout&&(this._unevaluatedLayout=new xi(r.layout)),r.paint)){for(var n in this._transitionablePaint=new gi(r.paint),e.paint)this.setPaintProperty(n,e.paint[n],{validate:!1});for(var i in e.layout)this.setLayoutProperty(i,e.layout[i],{validate:!1});this._transitioningPaint=this._transitionablePaint.untransitioned(),this.paint=new _i(r.paint)}}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getCrossfadeParameters=function(){return this._crossfadeParameters},e.prototype.getLayoutProperty=function(t){return\"visibility\"===t?this.visibility:this._unevaluatedLayout.getValue(t)},e.prototype.setLayoutProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".layout.\"+t;if(this._validate(In,n,t,e,r))return}\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e},e.prototype.getPaintProperty=function(t){return g(t,\"-transition\")?this._transitionablePaint.getTransition(t.slice(0,-\"-transition\".length)):this._transitionablePaint.getValue(t)},e.prototype.setPaintProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".paint.\"+t;if(this._validate(Pn,n,t,e,r))return!1}if(g(t,\"-transition\"))return this._transitionablePaint.setTransition(t.slice(0,-\"-transition\".length),e||void 0),!1;var i=this._transitionablePaint._values[t],a=\"cross-faded-data-driven\"===i.property.specification[\"property-type\"],o=i.value.isDataDriven(),s=i.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var l=this._transitionablePaint._values[t].value;return l.isDataDriven()||o||a||this._handleOverridablePaintPropertyUpdate(t,s,l)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t<this.minzoom)||(!!(this.maxzoom&&t>=this.maxzoom)||\"none\"===this.visibility)},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,\"source-layer\":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),y(t,(function(t,e){return!(void 0===t||\"layout\"===e&&!Object.keys(t).length||\"paint\"===e&&!Object.keys(t).length)}))},e.prototype._validate=function(t,e,r,n,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&On(this,t.call(Ln,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:Lt,style:{glyphs:!0,sprite:!0}}))},e.prototype.is3D=function(){return!1},e.prototype.isTileClipped=function(){return!1},e.prototype.hasOffscreenPass=function(){return!1},e.prototype.resize=function(){},e.prototype.isStateDependent=function(){for(var t in this.paint._values){var e=this.paint.get(t);if(e instanceof bi&&zr(e.property.specification)&&((\"source\"===e.value.kind||\"composite\"===e.value.kind)&&e.value.isStateDependent))return!0}return!1},e}(Et),Li={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},Ci=function(t,e){this._structArray=t,this._pos1=e*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8},Pi=function(){this.isTransferred=!1,this.capacity=-1,this.resize(0)};function Ii(t,e){void 0===e&&(e=1);var r=0,n=0;return{members:t.map((function(t){var i,a=(i=t.type,Li[i].BYTES_PER_ELEMENT),o=r=Oi(r,Math.max(e,a)),s=t.components||1;return n=Math.max(n,a),r+=a*s,{name:t.name,type:t.type,components:s,offset:o}})),size:Oi(r,Math.max(n,e)),alignment:e}}function Oi(t,e){return Math.ceil(t/e)*e}Pi.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},Pi.deserialize=function(t){var e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e},Pi.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},Pi.prototype.clear=function(){this.length=0},Pi.prototype.resize=function(t){this.reserve(t),this.length=t},Pi.prototype.reserve=function(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);var e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}},Pi.prototype._refreshViews=function(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")};var zi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t},e}(Pi);zi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout2i4\",zi);var Di=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.int16[a+0]=e,this.int16[a+1]=r,this.int16[a+2]=n,this.int16[a+3]=i,t},e}(Pi);Di.prototype.bytesPerElement=8,Nn(\"StructArrayLayout4i8\",Di);var Ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Pi);Ri.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2i4i12\",Ri);var Fi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=i,this.uint8[l+6]=a,this.uint8[l+7]=o,t},e}(Pi);Fi.prototype.bytesPerElement=8,Nn(\"StructArrayLayout2i4ub8\",Fi);var Bi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c){var u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l,c)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u){var f=9*t,h=18*t;return this.uint16[f+0]=e,this.uint16[f+1]=r,this.uint16[f+2]=n,this.uint16[f+3]=i,this.uint16[f+4]=a,this.uint16[f+5]=o,this.uint16[f+6]=s,this.uint16[f+7]=l,this.uint8[h+16]=c,this.uint8[h+17]=u,t},e}(Pi);Bi.prototype.bytesPerElement=18,Nn(\"StructArrayLayout8ui2ub18\",Bi);var Ni=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f){var h=this.length;return this.resize(h+1),this.emplace(h,t,e,r,n,i,a,o,s,l,c,u,f)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h){var p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=i,this.uint16[p+4]=a,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=c,this.int16[p+9]=u,this.int16[p+10]=f,this.int16[p+11]=h,t},e}(Pi);Ni.prototype.bytesPerElement=24,Nn(\"StructArrayLayout4i4ui4i24\",Ni);var ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t},e}(Pi);ji.prototype.bytesPerElement=12,Nn(\"StructArrayLayout3f12\",ji);var Ui=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint32[r+0]=e,t},e}(Pi);Ui.prototype.bytesPerElement=4,Nn(\"StructArrayLayout1ul4\",Ui);var Vi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l){var c=this.length;return this.resize(c+1),this.emplace(c,t,e,r,n,i,a,o,s,l)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c){var u=10*t,f=5*t;return this.int16[u+0]=e,this.int16[u+1]=r,this.int16[u+2]=n,this.int16[u+3]=i,this.int16[u+4]=a,this.int16[u+5]=o,this.uint32[f+3]=s,this.uint16[u+8]=l,this.uint16[u+9]=c,t},e}(Pi);Vi.prototype.bytesPerElement=20,Nn(\"StructArrayLayout6i1ul2ui20\",Vi);var Hi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Pi);Hi.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2i2i2i12\",Hi);var qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n,i)},e.prototype.emplace=function(t,e,r,n,i,a){var o=4*t,s=8*t;return this.float32[o+0]=e,this.float32[o+1]=r,this.float32[o+2]=n,this.int16[s+6]=i,this.int16[s+7]=a,t},e}(Pi);qi.prototype.bytesPerElement=16,Nn(\"StructArrayLayout2f1f2i16\",qi);var Gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=12*t,o=3*t;return this.uint8[a+0]=e,this.uint8[a+1]=r,this.float32[o+1]=n,this.float32[o+2]=i,t},e}(Pi);Gi.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2ub2f12\",Gi);var Yi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.uint16[i+0]=e,this.uint16[i+1]=r,this.uint16[i+2]=n,t},e}(Pi);Yi.prototype.bytesPerElement=6,Nn(\"StructArrayLayout3ui6\",Yi);var Wi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g){var v=this.length;return this.resize(v+1),this.emplace(v,t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v){var y=24*t,x=12*t,b=48*t;return this.int16[y+0]=e,this.int16[y+1]=r,this.uint16[y+2]=n,this.uint16[y+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[y+10]=l,this.uint16[y+11]=c,this.uint16[y+12]=u,this.float32[x+7]=f,this.float32[x+8]=h,this.uint8[b+36]=p,this.uint8[b+37]=d,this.uint8[b+38]=m,this.uint32[x+10]=g,this.int16[y+22]=v,t},e}(Pi);Wi.prototype.bytesPerElement=48,Nn(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\",Wi);var Xi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,A,M,S){var E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,A,M,S)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,A,M,S,E){var L=34*t,C=17*t;return this.int16[L+0]=e,this.int16[L+1]=r,this.int16[L+2]=n,this.int16[L+3]=i,this.int16[L+4]=a,this.int16[L+5]=o,this.int16[L+6]=s,this.int16[L+7]=l,this.uint16[L+8]=c,this.uint16[L+9]=u,this.uint16[L+10]=f,this.uint16[L+11]=h,this.uint16[L+12]=p,this.uint16[L+13]=d,this.uint16[L+14]=m,this.uint16[L+15]=g,this.uint16[L+16]=v,this.uint16[L+17]=y,this.uint16[L+18]=x,this.uint16[L+19]=b,this.uint16[L+20]=_,this.uint16[L+21]=w,this.uint16[L+22]=T,this.uint32[C+12]=k,this.float32[C+13]=A,this.float32[C+14]=M,this.float32[C+15]=S,this.float32[C+16]=E,t},e}(Pi);Xi.prototype.bytesPerElement=68,Nn(\"StructArrayLayout8i15ui1ul4f68\",Xi);var Zi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.float32[r+0]=e,t},e}(Pi);Zi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout1f4\",Zi);var Ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.int16[i+0]=e,this.int16[i+1]=r,this.int16[i+2]=n,t},e}(Pi);Ji.prototype.bytesPerElement=6,Nn(\"StructArrayLayout3i6\",Ji);var Ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=2*t,a=4*t;return this.uint32[i+0]=e,this.uint16[a+2]=r,this.uint16[a+3]=n,t},e}(Pi);Ki.prototype.bytesPerElement=8,Nn(\"StructArrayLayout1ul2ui8\",Ki);var Qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.uint16[n+0]=e,this.uint16[n+1]=r,t},e}(Pi);Qi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout2ui4\",Qi);var $i=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint16[r+0]=e,t},e}(Pi);$i.prototype.bytesPerElement=2,Nn(\"StructArrayLayout1ui2\",$i);var ta=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.float32[n+0]=e,this.float32[n+1]=r,t},e}(Pi);ta.prototype.bytesPerElement=8,Nn(\"StructArrayLayout2f8\",ta);var ea=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,this.float32[a+3]=i,t},e}(Pi);ea.prototype.bytesPerElement=16,Nn(\"StructArrayLayout4f16\",ea);var ra=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorPointX:{configurable:!0},anchorPointY:{configurable:!0},x1:{configurable:!0},y1:{configurable:!0},x2:{configurable:!0},y2:{configurable:!0},featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0},anchorPoint:{configurable:!0}};return r.anchorPointX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorPointY.get=function(){return this._structArray.int16[this._pos2+1]},r.x1.get=function(){return this._structArray.int16[this._pos2+2]},r.y1.get=function(){return this._structArray.int16[this._pos2+3]},r.x2.get=function(){return this._structArray.int16[this._pos2+4]},r.y2.get=function(){return this._structArray.int16[this._pos2+5]},r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+8]},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.anchorPoint.get=function(){return new i(this.anchorPointX,this.anchorPointY)},Object.defineProperties(e.prototype,r),e}(Ci);ra.prototype.size=20;var na=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ra(this,t)},e}(Vi);Nn(\"CollisionBoxArray\",na);var ia=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},glyphStartIndex:{configurable:!0},numGlyphs:{configurable:!0},vertexStartIndex:{configurable:!0},lineStartIndex:{configurable:!0},lineLength:{configurable:!0},segment:{configurable:!0},lowerSize:{configurable:!0},upperSize:{configurable:!0},lineOffsetX:{configurable:!0},lineOffsetY:{configurable:!0},writingMode:{configurable:!0},placedOrientation:{configurable:!0},hidden:{configurable:!0},crossTileID:{configurable:!0},associatedIconIndex:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.glyphStartIndex.get=function(){return this._structArray.uint16[this._pos2+2]},r.numGlyphs.get=function(){return this._structArray.uint16[this._pos2+3]},r.vertexStartIndex.get=function(){return this._structArray.uint32[this._pos4+2]},r.lineStartIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.lineLength.get=function(){return this._structArray.uint32[this._pos4+4]},r.segment.get=function(){return this._structArray.uint16[this._pos2+10]},r.lowerSize.get=function(){return this._structArray.uint16[this._pos2+11]},r.upperSize.get=function(){return this._structArray.uint16[this._pos2+12]},r.lineOffsetX.get=function(){return this._structArray.float32[this._pos4+7]},r.lineOffsetY.get=function(){return this._structArray.float32[this._pos4+8]},r.writingMode.get=function(){return this._structArray.uint8[this._pos1+36]},r.placedOrientation.get=function(){return this._structArray.uint8[this._pos1+37]},r.placedOrientation.set=function(t){this._structArray.uint8[this._pos1+37]=t},r.hidden.get=function(){return this._structArray.uint8[this._pos1+38]},r.hidden.set=function(t){this._structArray.uint8[this._pos1+38]=t},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+10]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+10]=t},r.associatedIconIndex.get=function(){return this._structArray.int16[this._pos2+22]},Object.defineProperties(e.prototype,r),e}(Ci);ia.prototype.size=48;var aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ia(this,t)},e}(Wi);Nn(\"PlacedSymbolArray\",aa);var oa=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},rightJustifiedTextSymbolIndex:{configurable:!0},centerJustifiedTextSymbolIndex:{configurable:!0},leftJustifiedTextSymbolIndex:{configurable:!0},verticalPlacedTextSymbolIndex:{configurable:!0},placedIconSymbolIndex:{configurable:!0},verticalPlacedIconSymbolIndex:{configurable:!0},key:{configurable:!0},textBoxStartIndex:{configurable:!0},textBoxEndIndex:{configurable:!0},verticalTextBoxStartIndex:{configurable:!0},verticalTextBoxEndIndex:{configurable:!0},iconBoxStartIndex:{configurable:!0},iconBoxEndIndex:{configurable:!0},verticalIconBoxStartIndex:{configurable:!0},verticalIconBoxEndIndex:{configurable:!0},featureIndex:{configurable:!0},numHorizontalGlyphVertices:{configurable:!0},numVerticalGlyphVertices:{configurable:!0},numIconVertices:{configurable:!0},numVerticalIconVertices:{configurable:!0},useRuntimeCollisionCircles:{configurable:!0},crossTileID:{configurable:!0},textBoxScale:{configurable:!0},textOffset0:{configurable:!0},textOffset1:{configurable:!0},collisionCircleDiameter:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.rightJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+2]},r.centerJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+3]},r.leftJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+4]},r.verticalPlacedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+5]},r.placedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+6]},r.verticalPlacedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+7]},r.key.get=function(){return this._structArray.uint16[this._pos2+8]},r.textBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.textBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+10]},r.verticalTextBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+11]},r.verticalTextBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+12]},r.iconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+13]},r.iconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+14]},r.verticalIconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+15]},r.verticalIconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+16]},r.featureIndex.get=function(){return this._structArray.uint16[this._pos2+17]},r.numHorizontalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+18]},r.numVerticalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+19]},r.numIconVertices.get=function(){return this._structArray.uint16[this._pos2+20]},r.numVerticalIconVertices.get=function(){return this._structArray.uint16[this._pos2+21]},r.useRuntimeCollisionCircles.get=function(){return 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c=t.readVarint();n=7&c,a=c>>3}if(a--,1===n||2===n)o+=t.readSVarint(),s+=t.readSVarint(),1===n&&(e&&l.push(e),e=[]),e.push(new i(o,s));else{if(7!==n)throw new Error(\"unknown command \"+n);e&&e.push(e[0].clone())}}return e&&l.push(e),l},ws.prototype.bbox=function(){var t=this._pbf;t.pos=this._geometry;for(var e=t.readVarint()+t.pos,r=1,n=0,i=0,a=0,o=1/0,s=-1/0,l=1/0,c=-1/0;t.pos<e;){if(n<=0){var u=t.readVarint();r=7&u,n=u>>3}if(n--,1===r||2===r)(i+=t.readSVarint())<o&&(o=i),i>s&&(s=i),(a+=t.readSVarint())<l&&(l=a),a>c&&(c=a);else if(7!==r)throw new Error(\"unknown command \"+r)}return[o,l,s,c]},ws.prototype.toGeoJSON=function(t,e,r){var n,i,a=this.extent*Math.pow(2,r),o=this.extent*t,s=this.extent*e,l=this.loadGeometry(),c=ws.types[this.type];function u(t){for(var e=0;e<t.length;e++){var r=t[e],n=180-360*(r.y+s)/a;t[e]=[360*(r.x+o)/a-180,360/Math.PI*Math.atan(Math.exp(n*Math.PI/180))-90]}}switch(this.type){case 1:var f=[];for(n=0;n<l.length;n++)f[n]=l[n][0];u(l=f);break;case 2:for(n=0;n<l.length;n++)u(l[n]);break;case 3:for(l=function(t){var e=t.length;if(e<=1)return[t];for(var r,n,i=[],a=0;a<e;a++){var o=ks(t[a]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&i.push(r),r=[t[a]]):r.push(t[a]))}r&&i.push(r);return i}(l),n=0;n<l.length;n++)for(i=0;i<l[n].length;i++)u(l[n][i])}1===l.length?l=l[0]:c=\"Multi\"+c;var h={type:\"Feature\",geometry:{type:c,coordinates:l},properties:this.properties};return\"id\"in this&&(h.id=this.id),h};var As=Ms;function Ms(t,e){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=t,this._keys=[],this._values=[],this._features=[],t.readFields(Ss,this,e),this.length=this._features.length}function Ss(t,e,r){15===t?e.version=r.readVarint():1===t?e.name=r.readString():5===t?e.extent=r.readVarint():2===t?e._features.push(r.pos):3===t?e._keys.push(r.readString()):4===t&&e._values.push(function(t){var e=null,r=t.readVarint()+t.pos;for(;t.pos<r;){var n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}function Es(t,e,r){if(3===t){var n=new As(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Ms.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error(\"feature index out of bounds\");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new _s(this._pbf,e,this.extent,this._keys,this._values)};var Ls={VectorTile:function(t,e){this.layers=t.readFields(Es,{},e)},VectorTileFeature:_s,VectorTileLayer:As},Cs=Ls.VectorTileFeature.types,Ps=Math.pow(2,13);function Is(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*Ps)+o,i*Ps*2,a*Ps*2,Math.round(s))}var Os=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new Ri,this.indexArray=new Yi,this.programConfigurations=new Ua(bs,t.layers,t.zoom),this.segments=new pa,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function zs(t,e){return t.x===e.x&&(t.x<0||t.x>8192)||t.y===e.y&&(t.y<0||t.y>8192)}function Ds(t){return t.every((function(t){return t.x<0}))||t.every((function(t){return t.x>8192}))||t.every((function(t){return t.y<0}))||t.every((function(t){return t.y>8192}))}Os.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=ds(\"fill-extrusion\",this.layers,e);for(var n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.feature,s=a.id,l=a.index,c=a.sourceLayerIndex,u=this.layers[0]._featureFilter.needGeometry,f={type:o.type,id:s,properties:o.properties,geometry:u?Ya(o):[]};if(this.layers[0]._featureFilter.filter(new pi(this.zoom),f,r)){var h={id:s,sourceLayerIndex:c,index:l,geometry:u?f.geometry:Ya(o),properties:o.properties,type:o.type,patterns:{}};void 0!==o.id&&(h.id=o.id),this.hasPattern?this.features.push(ms(\"fill-extrusion\",this.layers,h,this.zoom,e)):this.addFeature(h,h.geometry,l,r,{}),e.featureIndex.insert(o,h.geometry,l,c,this.index,!0)}}},Os.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.features;n<i.length;n+=1){var a=i[n],o=a.geometry;this.addFeature(a,o,a.index,e,r)}},Os.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},Os.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},Os.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Os.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,bs),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},Os.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Os.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=hs(e,500);a<o.length;a+=1){for(var s=o[a],l=0,c=0,u=s;c<u.length;c+=1){l+=u[c].length}for(var f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),h=0,p=s;h<p.length;h+=1){var d=p[h];if(0!==d.length&&!Ds(d))for(var m=0,g=0;g<d.length;g++){var v=d[g];if(g>=1){var y=d[g-1];if(!zs(v,y)){f.vertexLength+4>pa.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=v.sub(y)._perp()._unit(),b=y.dist(v);m+b>32768&&(m=0),Is(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,0,m),Is(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,1,m),m+=b,Is(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,m),Is(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,m);var _=f.vertexLength;this.indexArray.emplaceBack(_,_+2,_+1),this.indexArray.emplaceBack(_+1,_+2,_+3),f.vertexLength+=4,f.primitiveLength+=2}}}}if(f.vertexLength+l>pa.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),\"Polygon\"===Cs[t.type]){for(var w=[],T=[],k=f.vertexLength,A=0,M=s;A<M.length;A+=1){var S=M[A];if(0!==S.length){S!==s[0]&&T.push(w.length/2);for(var E=0;E<S.length;E++){var L=S[E];Is(this.layoutVertexArray,L.x,L.y,0,0,1,1,0),w.push(L.x),w.push(L.y)}}}for(var C=Do(w,T),P=0;P<C.length;P+=3)this.indexArray.emplaceBack(k+C[P],k+C[P+2],k+C[P+1]);f.primitiveLength+=C.length/3,f.vertexLength+=l}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},Nn(\"FillExtrusionBucket\",Os,{omit:[\"layers\",\"features\"]});var Rs={paint:new Si({\"fill-extrusion-opacity\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new Ti(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new ki(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new Ti(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new Ti(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})},Fs=function(t){function e(e){t.call(this,e,Rs)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new Os(t)},e.prototype.queryRadius=function(){return so(this.paint.get(\"fill-extrusion-translate\"))},e.prototype.is3D=function(){return!0},e.prototype.queryIntersectsFeature=function(t,e,r,n,a,o,s,l){var c=lo(t,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),o.angle,s),u=this.paint.get(\"fill-extrusion-height\").evaluate(e,r),f=this.paint.get(\"fill-extrusion-base\").evaluate(e,r),h=function(t,e,r,n){for(var a=[],o=0,s=t;o<s.length;o+=1){var l=s[o],c=[l.x,l.y,n,1];xo(c,c,e),a.push(new i(c[0]/c[3],c[1]/c[3]))}return a}(c,l,0,0),p=function(t,e,r,n){for(var a=[],o=[],s=n[8]*e,l=n[9]*e,c=n[10]*e,u=n[11]*e,f=n[8]*r,h=n[9]*r,p=n[10]*r,d=n[11]*r,m=0,g=t;m<g.length;m+=1){for(var v=g[m],y=[],x=[],b=0,_=v;b<_.length;b+=1){var w=_[b],T=w.x,k=w.y,A=n[0]*T+n[4]*k+n[12],M=n[1]*T+n[5]*k+n[13],S=n[2]*T+n[6]*k+n[14],E=n[3]*T+n[7]*k+n[15],L=S+c,C=E+u,P=A+f,I=M+h,O=S+p,z=E+d,D=new i((A+s)/C,(M+l)/C);D.z=L/C,y.push(D);var R=new i(P/z,I/z);R.z=O/z,x.push(R)}a.push(y),o.push(x)}return[a,o]}(n,f,u,l);return function(t,e,r){var n=1/0;Ka(r,e)&&(n=Ns(r,e[0]));for(var i=0;i<e.length;i++)for(var a=e[i],o=t[i],s=0;s<a.length-1;s++){var l=a[s],c=a[s+1],u=o[s],f=o[s+1],h=[l,c,f,u,l];Za(r,h)&&(n=Math.min(n,Ns(r,h)))}return n!==1/0&&n}(p[0],p[1],h)},e}(Ei);function Bs(t,e){return t.x*e.x+t.y*e.y}function Ns(t,e){if(1===t.length){for(var r,n=0,i=e[n++];!r||i.equals(r);)if(!(r=e[n++]))return 1/0;for(;n<e.length;n++){var a=e[n],o=t[0],s=r.sub(i),l=a.sub(i),c=o.sub(i),u=Bs(s,s),f=Bs(s,l),h=Bs(l,l),p=Bs(c,s),d=Bs(c,l),m=u*h-f*f,g=(h*p-f*d)/m,v=(u*d-f*p)/m,y=1-g-v,x=i.z*y+r.z*g+a.z*v;if(isFinite(x))return x}return 1/0}for(var b=1/0,_=0,w=e;_<w.length;_+=1){var T=w[_];b=Math.min(b,T.z)}return b}var js=Ii([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4).members,Us=Ls.VectorTileFeature.types,Vs=Math.cos(Math.PI/180*37.5),Hs=Math.pow(2,14)/.5,qs=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.layoutVertexArray=new Fi,this.indexArray=new Yi,this.programConfigurations=new Ua(js,t.layers,t.zoom),this.segments=new pa,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};qs.prototype.populate=function(t,e,r){this.hasPattern=ds(\"line\",this.layers,e);for(var n=this.layers[0].layout.get(\"line-sort-key\"),i=[],a=0,o=t;a<o.length;a+=1){var s=o[a],l=s.feature,c=s.id,u=s.index,f=s.sourceLayerIndex,h=this.layers[0]._featureFilter.needGeometry,p={type:l.type,id:c,properties:l.properties,geometry:h?Ya(l):[]};if(this.layers[0]._featureFilter.filter(new pi(this.zoom),p,r)){h||(p.geometry=Ya(l));var d=n?n.evaluate(p,{},r):void 0,m={id:c,properties:l.properties,type:l.type,sourceLayerIndex:f,index:u,geometry:p.geometry,patterns:{},sortKey:d};i.push(m)}}n&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var g=0,v=i;g<v.length;g+=1){var y=v[g],x=y,b=x.geometry,_=x.index,w=x.sourceLayerIndex;if(this.hasPattern){var T=ms(\"line\",this.layers,y,this.zoom,e);this.patternFeatures.push(T)}else this.addFeature(y,b,_,r,{});var k=t[_].feature;e.featureIndex.insert(k,b,_,w,this.index)}},qs.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},qs.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.patternFeatures;n<i.length;n+=1){var a=i[n];this.addFeature(a,a.geometry,a.index,e,r)}},qs.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},qs.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},qs.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,js),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},qs.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},qs.prototype.addFeature=function(t,e,r,n,i){for(var a=this.layers[0].layout,o=a.get(\"line-join\").evaluate(t,{}),s=a.get(\"line-cap\"),l=a.get(\"line-miter-limit\"),c=a.get(\"line-round-limit\"),u=0,f=e;u<f.length;u+=1){var h=f[u];this.addLine(h,t,o,s,l,c)}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},qs.prototype.addLine=function(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,e.properties&&e.properties.hasOwnProperty(\"mapbox_clip_start\")&&e.properties.hasOwnProperty(\"mapbox_clip_end\")){this.clipStart=+e.properties.mapbox_clip_start,this.clipEnd=+e.properties.mapbox_clip_end;for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance()}for(var s=\"Polygon\"===Us[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var c=0;c<l-1&&t[c].equals(t[c+1]);)c++;if(!(l<(s?3:2))){\"bevel\"===r&&(i=1.05);var u,f=this.overscaling<=16?122880/(512*this.overscaling):0,h=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 0,d=void 0,m=void 0,g=void 0;this.e1=this.e2=-1,s&&(u=t[l-2],g=t[c].sub(u)._unit()._perp());for(var v=c;v<l;v++)if(!(d=v===l-1?s?t[c+1]:void 0:t[v+1])||!t[v].equals(d)){g&&(m=g),u&&(p=u),u=t[v],g=d?d.sub(u)._unit()._perp():m;var y=(m=m||g).add(g);0===y.x&&0===y.y||y._unit();var x=m.x*g.x+m.y*g.y,b=y.x*g.x+y.y*g.y,_=0!==b?1/b:1/0,w=2*Math.sqrt(2-2*b),T=b<Vs&&p&&d,k=m.x*g.y-m.y*g.x>0;if(T&&v>c){var A=u.dist(p);if(A>2*f){var M=u.sub(u.sub(p)._mult(f/A)._round());this.updateDistance(p,M),this.addCurrentVertex(M,m,0,0,h),p=M}}var S=p&&d,E=S?r:s?\"butt\":n;if(S&&\"round\"===E&&(_<a?E=\"miter\":_<=2&&(E=\"fakeround\")),\"miter\"===E&&_>i&&(E=\"bevel\"),\"bevel\"===E&&(_>2&&(E=\"flipbevel\"),_<i&&(E=\"miter\")),p&&this.updateDistance(p,u),\"miter\"===E)y._mult(_),this.addCurrentVertex(u,y,0,0,h);else if(\"flipbevel\"===E){if(_>100)y=g.mult(-1);else{var L=_*m.add(g).mag()/m.sub(g).mag();y._perp()._mult(L*(k?-1:1))}this.addCurrentVertex(u,y,0,0,h),this.addCurrentVertex(u,y.mult(-1),0,0,h)}else if(\"bevel\"===E||\"fakeround\"===E){var C=-Math.sqrt(_*_-1),P=k?C:0,I=k?0:C;if(p&&this.addCurrentVertex(u,m,P,I,h),\"fakeround\"===E)for(var O=Math.round(180*w/Math.PI/20),z=1;z<O;z++){var D=z/O;if(.5!==D){var R=D-.5;D+=D*R*(D-1)*((1.0904+x*(x*(3.55645-1.43519*x)-3.2452))*R*R+(.848013+x*(.215638*x-1.06021)))}var F=g.sub(m)._mult(D)._add(m)._unit()._mult(k?-1:1);this.addHalfVertex(u,F.x,F.y,!1,k,0,h)}d&&this.addCurrentVertex(u,g,-P,-I,h)}else if(\"butt\"===E)this.addCurrentVertex(u,y,0,0,h);else if(\"square\"===E){var B=p?1:-1;this.addCurrentVertex(u,y,B,B,h)}else\"round\"===E&&(p&&(this.addCurrentVertex(u,m,0,0,h),this.addCurrentVertex(u,m,1,1,h,!0)),d&&(this.addCurrentVertex(u,g,-1,-1,h,!0),this.addCurrentVertex(u,g,0,0,h)));if(T&&v<l-1){var N=u.dist(d);if(N>2*f){var j=u.add(d.sub(u)._mult(f/N)._round());this.updateDistance(u,j),this.addCurrentVertex(j,g,0,0,h),u=j}}}}},qs.prototype.addCurrentVertex=function(t,e,r,n,i,a){void 0===a&&(a=!1);var o=e.x+e.y*r,s=e.y-e.x*r,l=-e.x+e.y*n,c=-e.y-e.x*n;this.addHalfVertex(t,o,s,a,!1,r,i),this.addHalfVertex(t,l,c,a,!0,-n,i),this.distance>Hs/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,i,a))},qs.prototype.addHalfVertex=function(t,e,r,n,i,a,o){var s=t.x,l=t.y,c=.5*this.scaledDistance;this.layoutVertexArray.emplaceBack((s<<1)+(n?1:0),(l<<1)+(i?1:0),Math.round(63*e)+128,Math.round(63*r)+128,1+(0===a?0:a<0?-1:1)|(63&c)<<2,c>>6);var u=o.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,u),o.primitiveLength++),i?this.e2=u:this.e1=u},qs.prototype.updateScaledDistance=function(){this.scaledDistance=this.totalDistance>0?(this.clipStart+(this.clipEnd-this.clipStart)*this.distance/this.totalDistance)*(Hs-1):this.distance},qs.prototype.updateDistance=function(t,e){this.distance+=t.dist(e),this.updateScaledDistance()},Nn(\"LineBucket\",qs,{omit:[\"layers\",\"patternFeatures\"]});var Gs=new Si({\"line-cap\":new 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e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(e,r){return r=new pi(Math.floor(r.zoom),{now:r.now,fadeDuration:r.fadeDuration,zoomHistory:r.zoomHistory,transition:r.transition}),t.prototype.possiblyEvaluate.call(this,e,r)},e.prototype.evaluate=function(e,r,n,i){return r=u({},r,{zoom:Math.floor(r.zoom)}),t.prototype.evaluate.call(this,e,r,n,i)},e}(Ti))(Ys.paint.properties[\"line-width\"].specification);Ws.useIntegerZoom=!0;var Xs=function(t){function e(e){t.call(this,e,Ys)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._handleSpecialPaintPropertyUpdate=function(t){\"line-gradient\"===t&&this._updateGradient()},e.prototype._updateGradient=function(){var 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o=t[a],s=[],l=0;l<o.length;l++){var c=o[l-1],u=o[l],f=o[l+1],h=0===l?n:u.sub(c)._unit()._perp(),p=l===o.length-1?n:f.sub(u)._unit()._perp(),d=h._add(p)._unit(),m=d.x*p.x+d.y*p.y;d._mult(1/m),s.push(d._mult(e)._add(u))}r.push(s)}return r}(n,u*s)),function(t,e,r){for(var n=0;n<e.length;n++){var i=e[n];if(t.length>=3)for(var a=0;a<i.length;a++)if(io(t,i[a]))return!0;if(Qa(t,i,r))return!0}return!1}(l,n,c)},e.prototype.isTileClipped=function(){return!0},e}(Ei);function Zs(t,e){return e>0?e+2*t:t}var 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nl=function(t,e,r,n,i){var a,o,s=8*i-n-1,l=(1<<s)-1,c=l>>1,u=-7,f=r?i-1:0,h=r?-1:1,p=t[e+f];for(f+=h,a=p&(1<<-u)-1,p>>=-u,u+=s;u>0;a=256*a+t[e+f],f+=h,u-=8);for(o=a&(1<<-u)-1,a>>=-u,u+=n;u>0;o=256*o+t[e+f],f+=h,u-=8);if(0===a)a=1-c;else{if(a===l)return o?NaN:1/0*(p?-1:1);o+=Math.pow(2,n),a-=c}return(p?-1:1)*o*Math.pow(2,a-n)},il=function(t,e,r,n,i,a){var o,s,l,c=8*a-i-1,u=(1<<c)-1,f=u>>1,h=23===i?Math.pow(2,-24)-Math.pow(2,-77):0,p=n?0:a-1,d=n?1:-1,m=e<0||0===e&&1/e<0?1:0;for(e=Math.abs(e),isNaN(e)||e===1/0?(s=isNaN(e)?1:0,o=u):(o=Math.floor(Math.log(e)/Math.LN2),e*(l=Math.pow(2,-o))<1&&(o--,l*=2),(e+=o+f>=1?h/l:h*Math.pow(2,1-f))*l>=2&&(o++,l/=2),o+f>=u?(s=0,o=u):o+f>=1?(s=(e*l-1)*Math.pow(2,i),o+=f):(s=e*Math.pow(2,f-1)*Math.pow(2,i),o=0));i>=8;t[r+p]=255&s,p+=d,s/=256,i-=8);for(o=o<<i|s,c+=i;c>0;t[r+p]=255&o,p+=d,o/=256,c-=8);t[r+p-d]|=128*m},al=ol;function ol(t){this.buf=ArrayBuffer.isView&&ArrayBuffer.isView(t)?t:new 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e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed32());return t},readPackedFixed64:function(t){if(this.type!==ol.Bytes)return t.push(this.readFixed64());var e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readFixed64());return t},readPackedSFixed64:function(t){if(this.type!==ol.Bytes)return t.push(this.readSFixed64());var e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed64());return t},skip:function(t){var e=7&t;if(e===ol.Varint)for(;this.buf[this.pos++]>127;);else if(e===ol.Bytes)this.pos=this.readVarint()+this.pos;else if(e===ol.Fixed32)this.pos+=4;else{if(e!==ol.Fixed64)throw new Error(\"Unimplemented type: \"+e);this.pos+=8}},writeTag:function(t,e){this.writeVarint(t<<3|e)},realloc:function(t){for(var e=this.length||16;e<this.pos+t;)e*=2;if(e!==this.length){var r=new Uint8Array(e);r.set(this.buf),this.buf=r,this.length=e}},finish:function(){return 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r=(7&t)<<4;if(e.buf[e.pos++]|=r|((t>>>=3)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;e.buf[e.pos++]=127&t}(n,e)}(t,this):(this.realloc(4),this.buf[this.pos++]=127&t|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=t>>>7&127))))},writeSVarint:function(t){this.writeVarint(t<0?2*-t-1:2*t)},writeBoolean:function(t){this.writeVarint(Boolean(t))},writeString:function(t){t=String(t),this.realloc(4*t.length),this.pos++;var e=this.pos;this.pos=function(t,e,r){for(var n,i,a=0;a<e.length;a++){if((n=e.charCodeAt(a))>55295&&n<57344){if(!i){n>56319||a+1===e.length?(t[r++]=239,t[r++]=191,t[r++]=189):i=n;continue}if(n<56320){t[r++]=239,t[r++]=191,t[r++]=189,i=n;continue}n=i-55296<<10|n-56320|65536,i=null}else i&&(t[r++]=239,t[r++]=191,t[r++]=189,i=null);n<128?t[r++]=n:(n<2048?t[r++]=n>>6|192:(n<65536?t[r++]=n>>12|224:(t[r++]=n>>18|240,t[r++]=n>>12&63|128),t[r++]=n>>6&63|128),t[r++]=63&n|128)}return r}(this.buf,t,this.pos);var r=this.pos-e;r>=128&&ul(e,r,this),this.pos=e-1,this.writeVarint(r),this.pos+=r},writeFloat:function(t){this.realloc(4),il(this.buf,t,this.pos,!0,23,4),this.pos+=4},writeDouble:function(t){this.realloc(8),il(this.buf,t,this.pos,!0,52,8),this.pos+=8},writeBytes:function(t){var e=t.length;this.writeVarint(e),this.realloc(e);for(var r=0;r<e;r++)this.buf[this.pos++]=t[r]},writeRawMessage:function(t,e){this.pos++;var r=this.pos;t(e,this);var n=this.pos-r;n>=128&&ul(r,n,this),this.pos=r-1,this.writeVarint(n),this.pos+=n},writeMessage:function(t,e,r){this.writeTag(t,ol.Bytes),this.writeRawMessage(e,r)},writePackedVarint:function(t,e){e.length&&this.writeMessage(t,fl,e)},writePackedSVarint:function(t,e){e.length&&this.writeMessage(t,hl,e)},writePackedBoolean:function(t,e){e.length&&this.writeMessage(t,ml,e)},writePackedFloat:function(t,e){e.length&&this.writeMessage(t,pl,e)},writePackedDouble:function(t,e){e.length&&this.writeMessage(t,dl,e)},writePackedFixed32:function(t,e){e.length&&this.writeMessage(t,gl,e)},writePackedSFixed32:function(t,e){e.length&&this.writeMessage(t,vl,e)},writePackedFixed64:function(t,e){e.length&&this.writeMessage(t,yl,e)},writePackedSFixed64:function(t,e){e.length&&this.writeMessage(t,xl,e)},writeBytesField:function(t,e){this.writeTag(t,ol.Bytes),this.writeBytes(e)},writeFixed32Field:function(t,e){this.writeTag(t,ol.Fixed32),this.writeFixed32(e)},writeSFixed32Field:function(t,e){this.writeTag(t,ol.Fixed32),this.writeSFixed32(e)},writeFixed64Field:function(t,e){this.writeTag(t,ol.Fixed64),this.writeFixed64(e)},writeSFixed64Field:function(t,e){this.writeTag(t,ol.Fixed64),this.writeSFixed64(e)},writeVarintField:function(t,e){this.writeTag(t,ol.Varint),this.writeVarint(e)},writeSVarintField:function(t,e){this.writeTag(t,ol.Varint),this.writeSVarint(e)},writeStringField:function(t,e){this.writeTag(t,ol.Bytes),this.writeString(e)},writeFloatField:function(t,e){this.writeTag(t,ol.Fixed32),this.writeFloat(e)},writeDoubleField:function(t,e){this.writeTag(t,ol.Fixed64),this.writeDouble(e)},writeBooleanField:function(t,e){this.writeVarintField(t,Boolean(e))}};function Tl(t,e,r){1===t&&r.readMessage(kl,e)}function kl(t,e,r){if(3===t){var n=r.readMessage(Al,{}),i=n.id,a=n.bitmap,o=n.width,s=n.height,l=n.left,c=n.top,u=n.advance;e.push({id:i,bitmap:new So({width:o+6,height:s+6},a),metrics:{width:o,height:s,left:l,top:c,advance:u}})}}function Al(t,e,r){1===t?e.id=r.readVarint():2===t?e.bitmap=r.readBytes():3===t?e.width=r.readVarint():4===t?e.height=r.readVarint():5===t?e.left=r.readSVarint():6===t?e.top=r.readSVarint():7===t&&(e.advance=r.readVarint())}function Ml(t){for(var e=0,r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];e+=a.w*a.h,r=Math.max(r,a.w)}t.sort((function(t,e){return e.h-t.h}));for(var o=[{x:0,y:0,w:Math.max(Math.ceil(Math.sqrt(e/.95)),r),h:1/0}],s=0,l=0,c=0,u=t;c<u.length;c+=1)for(var f=u[c],h=o.length-1;h>=0;h--){var p=o[h];if(!(f.w>p.w||f.h>p.h)){if(f.x=p.x,f.y=p.y,l=Math.max(l,f.y+f.h),s=Math.max(s,f.x+f.w),f.w===p.w&&f.h===p.h){var d=o.pop();h<o.length&&(o[h]=d)}else 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Eo({width:o||1,height:s||1});for(var c in t){var u=t[c],f=r[c].paddedRect;Eo.copy(u.data,l,{x:0,y:0},{x:f.x+1,y:f.y+1},u.data)}for(var h in e){var p=e[h],d=n[h].paddedRect,m=d.x+1,g=d.y+1,v=p.data.width,y=p.data.height;Eo.copy(p.data,l,{x:0,y:0},{x:m,y:g},p.data),Eo.copy(p.data,l,{x:0,y:y-1},{x:m,y:g-1},{width:v,height:1}),Eo.copy(p.data,l,{x:0,y:0},{x:m,y:g+y},{width:v,height:1}),Eo.copy(p.data,l,{x:v-1,y:0},{x:m-1,y:g},{width:1,height:y}),Eo.copy(p.data,l,{x:0,y:0},{x:m+v,y:g},{width:1,height:y})}this.image=l,this.iconPositions=r,this.patternPositions=n};Ll.prototype.addImages=function(t,e,r){for(var n in t){var i=t[n],a={x:0,y:0,w:i.data.width+2,h:i.data.height+2};r.push(a),e[n]=new Sl(a,i),i.hasRenderCallback&&this.haveRenderCallbacks.push(n)}},Ll.prototype.patchUpdatedImages=function(t,e){for(var r in t.dispatchRenderCallbacks(this.haveRenderCallbacks),t.updatedImages)this.patchUpdatedImage(this.iconPositions[r],t.getImage(r),e),this.patchUpdatedImage(this.patternPositions[r],t.getImage(r),e)},Ll.prototype.patchUpdatedImage=function(t,e,r){if(t&&e&&t.version!==e.version){t.version=e.version;var n=t.tl,i=n[0],a=n[1];r.update(e.data,void 0,{x:i,y:a})}},Nn(\"ImagePosition\",Sl),Nn(\"ImageAtlas\",Ll);var Cl={horizontal:1,vertical:2,horizontalOnly:3};var Pl=function(){this.scale=1,this.fontStack=\"\",this.imageName=null};Pl.forText=function(t,e){var r=new Pl;return r.scale=t||1,r.fontStack=e,r},Pl.forImage=function(t){var e=new Pl;return e.imageName=t,e};var Il=function(){this.text=\"\",this.sectionIndex=[],this.sections=[],this.imageSectionID=null};function Ol(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m){var g,v=Il.fromFeature(t,i);f===Cl.vertical&&v.verticalizePunctuation();var y=hi.processBidirectionalText,x=hi.processStyledBidirectionalText;if(y&&1===v.sections.length){g=[];for(var b=0,_=y(v.toString(),jl(v,c,a,e,n,p,d));b<_.length;b+=1){var w=_[b],T=new Il;T.text=w,T.sections=v.sections;for(var k=0;k<w.length;k++)T.sectionIndex.push(0);g.push(T)}}else if(x){g=[];for(var A=0,M=x(v.text,v.sectionIndex,jl(v,c,a,e,n,p,d));A<M.length;A+=1){var S=M[A],E=new Il;E.text=S[0],E.sectionIndex=S[1],E.sections=v.sections,g.push(E)}}else g=function(t,e){for(var r=[],n=t.text,i=0,a=0,o=e;a<o.length;a+=1){var s=o[a];r.push(t.substring(i,s)),i=s}return i<n.length&&r.push(t.substring(i,n.length)),r}(v,jl(v,c,a,e,n,p,d));var L=[],C={positionedLines:L,text:v.toString(),top:u[1],bottom:u[1],left:u[0],right:u[0],writingMode:f,iconsInText:!1,verticalizable:!1};return function(t,e,r,n,i,a,o,s,l,c,u,f){for(var h=0,p=-17,d=0,m=0,g=\"right\"===s?1:\"left\"===s?0:.5,v=0,y=0,x=i;y<x.length;y+=1){var b=x[y];b.trim();var _=b.getMaxScale(),w=24*(_-1),T={positionedGlyphs:[],lineOffset:0};t.positionedLines[v]=T;var k=T.positionedGlyphs,A=0;if(b.length()){for(var M=0;M<b.length();M++){var S=b.getSection(M),E=b.getSectionIndex(M),L=b.getCharCode(M),C=0,P=null,I=null,O=null,z=24,D=!(l===Cl.horizontal||!u&&!Zn(L)||u&&(zl[L]||(Y=L,Yn.Arabic(Y)||Yn[\"Arabic Supplement\"](Y)||Yn[\"Arabic Extended-A\"](Y)||Yn[\"Arabic Presentation Forms-A\"](Y)||Yn[\"Arabic Presentation Forms-B\"](Y))));if(S.imageName){var R=n[S.imageName];if(!R)continue;O=S.imageName,t.iconsInText=t.iconsInText||!0,I=R.paddedRect;var F=R.displaySize;S.scale=24*S.scale/f,P={width:F[0],height:F[1],left:1,top:-3,advance:D?F[1]:F[0]};var B=24-F[1]*S.scale;C=w+B,z=P.advance;var N=D?F[0]*S.scale-24*_:F[1]*S.scale-24*_;N>0&&N>A&&(A=N)}else{var j=r[S.fontStack],U=j&&j[L];if(U&&U.rect)I=U.rect,P=U.metrics;else{var V=e[S.fontStack],H=V&&V[L];if(!H)continue;P=H.metrics}C=24*(_-S.scale)}D?(t.verticalizable=!0,k.push({glyph:L,imageName:O,x:h,y:p+C,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:I}),h+=z*S.scale+c):(k.push({glyph:L,imageName:O,x:h,y:p+C,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:I}),h+=P.advance*S.scale+c)}if(0!==k.length){var q=h-c;d=Math.max(q,d),Vl(k,0,k.length-1,g,A)}h=0;var G=a*_+A;T.lineOffset=Math.max(A,w),p+=G,m=Math.max(G,m),++v}else p+=a,++v}var Y;var W=p- -17,X=Ul(o),Z=X.horizontalAlign,J=X.verticalAlign;(function(t,e,r,n,i,a,o,s,l){var c=(e-r)*i,u=0;u=a!==o?-s*n- -17:(-n*l+.5)*o;for(var f=0,h=t;f<h.length;f+=1)for(var p=h[f],d=0,m=p.positionedGlyphs;d<m.length;d+=1){var g=m[d];g.x+=c,g.y+=u}})(t.positionedLines,g,Z,J,d,m,a,W,i.length),t.top+=-J*W,t.bottom=t.top+W,t.left+=-Z*d,t.right=t.left+d}(C,e,r,n,g,o,s,l,f,c,h,m),!function(t){for(var e=0,r=t;e<r.length;e+=1){if(0!==r[e].positionedGlyphs.length)return!1}return!0}(L)&&C}Il.fromFeature=function(t,e){for(var r=new Il,n=0;n<t.sections.length;n++){var i=t.sections[n];i.image?r.addImageSection(i):r.addTextSection(i,e)}return r},Il.prototype.length=function(){return this.text.length},Il.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},Il.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},Il.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},Il.prototype.verticalizePunctuation=function(){this.text=function(t){for(var e=\"\",r=0;r<t.length;r++){var n=t.charCodeAt(r+1)||null,i=t.charCodeAt(r-1)||null;(!n||!Jn(n)||rl[t[r+1]])&&(!i||!Jn(i)||rl[t[r-1]])&&rl[t[r]]?e+=rl[t[r]]:e+=t[r]}return e}(this.text)},Il.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&zl[this.text.charCodeAt(e)];e++)t++;for(var 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e=this.data,r=this.compare,n=this.length>>1,i=e[t];t<n;){var a=1+(t<<1),o=e[a],s=a+1;if(s<this.length&&r(e[s],o)<0&&(a=s,o=e[s]),r(o,i)>=0)break;e[t]=o,t=a}e[t]=i};var pc=Number.POSITIVE_INFINITY;function dc(t,e){return e[1]!==pc?function(t,e,r){var n=0,i=0;switch(e=Math.abs(e),r=Math.abs(r),t){case\"top-right\":case\"top-left\":case\"top\":i=r-7;break;case\"bottom-right\":case\"bottom-left\":case\"bottom\":i=7-r}switch(t){case\"top-right\":case\"bottom-right\":case\"right\":n=-e;break;case\"top-left\":case\"bottom-left\":case\"left\":n=e}return[n,i]}(t,e[0],e[1]):function(t,e){var r=0,n=0;e<0&&(e=0);var i=e/Math.sqrt(2);switch(t){case\"top-right\":case\"top-left\":n=i-7;break;case\"bottom-right\":case\"bottom-left\":n=7-i;break;case\"bottom\":n=7-e;break;case\"top\":n=e-7}switch(t){case\"top-right\":case\"bottom-right\":r=-i;break;case\"top-left\":case\"bottom-left\":r=i;break;case\"left\":r=e;break;case\"right\":r=-e}return[r,n]}(t,e[0])}function mc(t){switch(t){case\"right\":case\"top-right\":case\"bottom-right\":return\"right\";case\"left\":case\"top-left\":case\"bottom-left\":return\"left\"}return\"center\"}function gc(t,e,r,n,a,o,s,l,c,u,f,h,p,d,m){var g=function(t,e,r,n,a,o,s,l){for(var c=n.layout.get(\"text-rotate\").evaluate(o,{})*Math.PI/180,u=[],f=0,h=e.positionedLines;f<h.length;f+=1)for(var p=h[f],d=0,m=p.positionedGlyphs;d<m.length;d+=1){var g=m[d];if(g.rect){var v=g.rect||{},y=4,x=!0,b=1,_=0,w=(a||l)&&g.vertical,T=g.metrics.advance*g.scale/2;if(l&&e.verticalizable){var k=24*(g.scale-1),A=(24-g.metrics.width*g.scale)/2;_=p.lineOffset/2-(g.imageName?-A:k)}if(g.imageName){var M=s[g.imageName];x=M.sdf,y=1/(b=M.pixelRatio)}var S=a?[g.x+T,g.y]:[0,0],E=a?[0,0]:[g.x+T+r[0],g.y+r[1]-_],L=[0,0];w&&(L=E,E=[0,0]);var C=(g.metrics.left-y)*g.scale-T+E[0],P=(-g.metrics.top-y)*g.scale+E[1],I=C+v.w*g.scale/b,O=P+v.h*g.scale/b,z=new i(C,P),D=new i(I,P),R=new i(C,O),F=new i(I,O);if(w){var B=new i(-T,T- -17),N=-Math.PI/2,j=12-T,U=g.imageName?j:0,V=new i(22-j,-U),H=new(Function.prototype.bind.apply(i,[null].concat(L)));z._rotateAround(N,B)._add(V)._add(H),D._rotateAround(N,B)._add(V)._add(H),R._rotateAround(N,B)._add(V)._add(H),F._rotateAround(N,B)._add(V)._add(H)}if(c){var q=Math.sin(c),G=Math.cos(c),Y=[G,-q,q,G];z._matMult(Y),D._matMult(Y),R._matMult(Y),F._matMult(Y)}var W=new i(0,0),X=new i(0,0);u.push({tl:z,tr:D,bl:R,br:F,tex:v,writingMode:e.writingMode,glyphOffset:S,sectionIndex:g.sectionIndex,isSDF:x,pixelOffsetTL:W,pixelOffsetBR:X,minFontScaleX:0,minFontScaleY:0})}}return u}(0,r,l,a,o,s,n,t.allowVerticalPlacement),v=t.textSizeData,y=null;\"source\"===v.kind?(y=[128*a.layout.get(\"text-size\").evaluate(s,{})])[0]>32640&&_(t.layerIds[0]+': Value for \"text-size\" is >= 255. Reduce your \"text-size\".'):\"composite\"===v.kind&&((y=[128*d.compositeTextSizes[0].evaluate(s,{},m),128*d.compositeTextSizes[1].evaluate(s,{},m)])[0]>32640||y[1]>32640)&&_(t.layerIds[0]+': Value for \"text-size\" is >= 255. Reduce your \"text-size\".'),t.addSymbols(t.text,g,y,l,o,s,u,e,c.lineStartIndex,c.lineLength,p,m);for(var x=0,b=f;x<b.length;x+=1){h[b[x]]=t.text.placedSymbolArray.length-1}return 4*g.length}function vc(t){for(var e in t)return t[e];return null}function yc(t,e,r,n){var i=t.compareText;if(e in i){for(var a=i[e],o=a.length-1;o>=0;o--)if(n.dist(a[o])<r)return!0}else i[e]=[];return i[e].push(n),!1}var xc=Ls.VectorTileFeature.types,bc=[{name:\"a_fade_opacity\",components:1,type:\"Uint8\",offset:0}];function _c(t,e,r,n,i,a,o,s,l,c,u,f,h){var p=s?Math.min(32640,Math.round(s[0])):0,d=s?Math.min(32640,Math.round(s[1])):0;t.emplaceBack(e,r,Math.round(32*n),Math.round(32*i),a,o,(p<<1)+(l?1:0),d,16*c,16*u,256*f,256*h)}function wc(t,e,r){t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r)}function Tc(t){for(var e=0,r=t.sections;e<r.length;e+=1){if($n(r[e].text))return!0}return!1}var kc=function(t){this.layoutVertexArray=new Ni,this.indexArray=new Yi,this.programConfigurations=t,this.segments=new pa,this.dynamicLayoutVertexArray=new ji,this.opacityVertexArray=new Ui,this.placedSymbolArray=new aa};kc.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length&&0===this.indexArray.length&&0===this.dynamicLayoutVertexArray.length&&0===this.opacityVertexArray.length},kc.prototype.upload=function(t,e,r,n){this.isEmpty()||(r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Js.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,Ks.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,bc,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t))},kc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},Nn(\"SymbolBuffers\",kc);var Ac=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new pa,this.collisionVertexArray=new Gi};Ac.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,Qs.members,!0)},Ac.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},Nn(\"CollisionBuffers\",Ac);var Mc=function(t){this.collisionBoxArray=t.collisionBoxArray,this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.pixelRatio=t.pixelRatio,this.sourceLayerIndex=t.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=ho([]),this.placementViewportMatrix=ho([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=Gl(this.zoom,e[\"text-size\"]),this.iconSizeData=Gl(this.zoom,e[\"icon-size\"]);var r=this.layers[0].layout,n=r.get(\"symbol-sort-key\"),i=r.get(\"symbol-z-order\");this.sortFeaturesByKey=\"viewport-y\"!==i&&void 0!==n.constantOr(1);var a=\"viewport-y\"===i||\"auto\"===i&&!this.sortFeaturesByKey;this.sortFeaturesByY=a&&(r.get(\"text-allow-overlap\")||r.get(\"icon-allow-overlap\")||r.get(\"text-ignore-placement\")||r.get(\"icon-ignore-placement\")),\"point\"===r.get(\"symbol-placement\")&&(this.writingModes=r.get(\"text-writing-mode\").map((function(t){return Cl[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};Mc.prototype.createArrays=function(){this.text=new kc(new Ua(Js.members,this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new kc(new Ua(Js.members,this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new la,this.lineVertexArray=new ca,this.symbolInstances=new sa},Mc.prototype.calculateGlyphDependencies=function(t,e,r,n,i){for(var a=0;a<t.length;a++)if(e[t.charCodeAt(a)]=!0,(r||n)&&i){var o=rl[t.charAt(a)];o&&(e[o.charCodeAt(0)]=!0)}},Mc.prototype.populate=function(t,e,r){var n=this.layers[0],i=n.layout,a=i.get(\"text-font\"),o=i.get(\"text-field\"),s=i.get(\"icon-image\"),l=(\"constant\"!==o.value.kind||o.value.value instanceof ne&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&(\"constant\"!==a.value.kind||a.value.value.length>0),c=\"constant\"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,u=i.get(\"symbol-sort-key\");if(this.features=[],l||c){for(var f=e.iconDependencies,h=e.glyphDependencies,p=e.availableImages,d=new pi(this.zoom),m=0,g=t;m<g.length;m+=1){var v=g[m],y=v.feature,x=v.id,b=v.index,_=v.sourceLayerIndex,w=n._featureFilter.needGeometry,T={type:y.type,id:x,properties:y.properties,geometry:w?Ya(y):[]};if(n._featureFilter.filter(d,T,r)){w||(T.geometry=Ya(y));var k=void 0;if(l){var A=n.getValueAndResolveTokens(\"text-field\",T,r,p),M=ne.factory(A);Tc(M)&&(this.hasRTLText=!0),(!this.hasRTLText||\"unavailable\"===ui()||this.hasRTLText&&hi.isParsed())&&(k=el(M,n,T))}var S=void 0;if(c){var E=n.getValueAndResolveTokens(\"icon-image\",T,r,p);S=E instanceof ie?E:ie.fromString(E)}if(k||S){var L=this.sortFeaturesByKey?u.evaluate(T,{},r):void 0,C={id:x,text:k,icon:S,index:b,sourceLayerIndex:_,geometry:Ya(y),properties:y.properties,type:xc[y.type],sortKey:L};if(this.features.push(C),S&&(f[S.name]=!0),k){var P=a.evaluate(T,{},r).join(\",\"),I=\"map\"===i.get(\"text-rotation-alignment\")&&\"point\"!==i.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(Cl.vertical)>=0;for(var O=0,z=k.sections;O<z.length;O+=1){var D=z[O];if(D.image)f[D.image.name]=!0;else{var R=Wn(k.toString()),F=D.fontStack||P,B=h[F]=h[F]||{};this.calculateGlyphDependencies(D.text,B,I,this.allowVerticalPlacement,R)}}}}}}\"line\"===i.get(\"symbol-placement\")&&(this.features=function(t){var e={},r={},n=[],i=0;function a(e){n.push(t[e]),i++}function o(t,e,i){var a=r[t];return delete r[t],r[e]=a,n[a].geometry[0].pop(),n[a].geometry[0]=n[a].geometry[0].concat(i[0]),a}function s(t,r,i){var a=e[r];return delete e[r],e[t]=a,n[a].geometry[0].shift(),n[a].geometry[0]=i[0].concat(n[a].geometry[0]),a}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+\":\"+n.x+\":\"+n.y}for(var c=0;c<t.length;c++){var u=t[c],f=u.geometry,h=u.text?u.text.toString():null;if(h){var p=l(h,f),d=l(h,f,!0);if(p in r&&d in e&&r[p]!==e[d]){var m=s(p,d,f),g=o(p,d,n[m].geometry);delete e[p],delete r[d],r[l(h,n[g].geometry,!0)]=g,n[m].geometry=null}else p in r?o(p,d,f):d in e?s(p,d,f):(a(c),e[p]=i-1,r[d]=i-1)}else a(c)}return n.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}))}},Mc.prototype.update=function(t,e,r){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(t,e,this.layers,r),this.icon.programConfigurations.updatePaintArrays(t,e,this.layers,r))},Mc.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},Mc.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},Mc.prototype.upload=function(t){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(t),this.iconCollisionBox.upload(t)),this.text.upload(t,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(t,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},Mc.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},Mc.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},Mc.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),i=t.dist(e[t.segment]),a={},o=t.segment+1;o<e.length;o++)a[o]={x:e[o].x,y:e[o].y,tileUnitDistanceFromAnchor:n},o<e.length-1&&(n+=e[o+1].dist(e[o]));for(var s=t.segment||0;s>=0;s--)a[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:i},s>0&&(i+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var c=a[l];this.lineVertexArray.emplaceBack(c.x,c.y,c.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},Mc.prototype.addSymbols=function(t,e,r,n,i,a,o,s,l,c,u,f){for(var h=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,h,a.sortKey),m=this.glyphOffsetArray.length,g=d.vertexLength,v=this.allowVerticalPlacement&&o===Cl.vertical?Math.PI/2:0,y=a.text&&a.text.sections,x=0;x<e.length;x++){var b=e[x],_=b.tl,w=b.tr,T=b.bl,k=b.br,A=b.tex,M=b.pixelOffsetTL,S=b.pixelOffsetBR,E=b.minFontScaleX,L=b.minFontScaleY,C=b.glyphOffset,P=b.isSDF,I=b.sectionIndex,O=d.vertexLength,z=C[1];_c(p,s.x,s.y,_.x,z+_.y,A.x,A.y,r,P,M.x,M.y,E,L),_c(p,s.x,s.y,w.x,z+w.y,A.x+A.w,A.y,r,P,S.x,M.y,E,L),_c(p,s.x,s.y,T.x,z+T.y,A.x,A.y+A.h,r,P,M.x,S.y,E,L),_c(p,s.x,s.y,k.x,z+k.y,A.x+A.w,A.y+A.h,r,P,S.x,S.y,E,L),wc(t.dynamicLayoutVertexArray,s,v),h.emplaceBack(O,O+1,O+2),h.emplaceBack(O+1,O+2,O+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(C[0]),x!==e.length-1&&I===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,a,a.index,{},f,y&&y[I])}t.placedSymbolArray.emplaceBack(s.x,s.y,m,this.glyphOffsetArray.length-m,g,l,c,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,u)},Mc.prototype._addCollisionDebugVertex=function(t,e,r,n,i,a){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,i,Math.round(a.x),Math.round(a.y))},Mc.prototype.addCollisionDebugVertices=function(t,e,r,n,a,o,s){var l=a.segments.prepareSegment(4,a.layoutVertexArray,a.indexArray),c=l.vertexLength,u=a.layoutVertexArray,f=a.collisionVertexArray,h=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(u,f,o,h,p,new i(t,e)),this._addCollisionDebugVertex(u,f,o,h,p,new i(r,e)),this._addCollisionDebugVertex(u,f,o,h,p,new i(r,n)),this._addCollisionDebugVertex(u,f,o,h,p,new i(t,n)),l.vertexLength+=4;var d=a.indexArray;d.emplaceBack(c,c+1),d.emplaceBack(c+1,c+2),d.emplaceBack(c+2,c+3),d.emplaceBack(c+3,c),l.primitiveLength+=4},Mc.prototype.addDebugCollisionBoxes=function(t,e,r,n){for(var i=t;i<e;i++){var a=this.collisionBoxArray.get(i),o=a.x1,s=a.y1,l=a.x2,c=a.y2;this.addCollisionDebugVertices(o,s,l,c,n?this.textCollisionBox:this.iconCollisionBox,a.anchorPoint,r)}},Mc.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new Ac(Hi,$s.members,Qi),this.iconCollisionBox=new Ac(Hi,$s.members,Qi);for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e,!1),this.addDebugCollisionBoxes(e.verticalIconBoxStartIndex,e.verticalIconBoxEndIndex,e,!1)}},Mc.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,i,a,o,s,l){for(var c={},u=e;u<r;u++){var f=t.get(u);c.textBox={x1:f.x1,y1:f.y1,x2:f.x2,y2:f.y2,anchorPointX:f.anchorPointX,anchorPointY:f.anchorPointY},c.textFeatureIndex=f.featureIndex;break}for(var h=n;h<i;h++){var p=t.get(h);c.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},c.verticalTextFeatureIndex=p.featureIndex;break}for(var d=a;d<o;d++){var m=t.get(d);c.iconBox={x1:m.x1,y1:m.y1,x2:m.x2,y2:m.y2,anchorPointX:m.anchorPointX,anchorPointY:m.anchorPointY},c.iconFeatureIndex=m.featureIndex;break}for(var g=s;g<l;g++){var v=t.get(g);c.verticalIconBox={x1:v.x1,y1:v.y1,x2:v.x2,y2:v.y2,anchorPointX:v.anchorPointX,anchorPointY:v.anchorPointY},c.verticalIconFeatureIndex=v.featureIndex;break}return c},Mc.prototype.deserializeCollisionBoxes=function(t){this.collisionArrays=[];for(var e=0;e<this.symbolInstances.length;e++){var r=this.symbolInstances.get(e);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(t,r.textBoxStartIndex,r.textBoxEndIndex,r.verticalTextBoxStartIndex,r.verticalTextBoxEndIndex,r.iconBoxStartIndex,r.iconBoxEndIndex,r.verticalIconBoxStartIndex,r.verticalIconBoxEndIndex))}},Mc.prototype.hasTextData=function(){return this.text.segments.get().length>0},Mc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},Mc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},Mc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},Mc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},Mc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i<n;i+=4)t.indexArray.emplaceBack(i,i+1,i+2),t.indexArray.emplaceBack(i+1,i+2,i+3)},Mc.prototype.getSortedSymbolIndexes=function(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;for(var e=Math.sin(t),r=Math.cos(t),n=[],i=[],a=[],o=0;o<this.symbolInstances.length;++o){a.push(o);var s=this.symbolInstances.get(o);n.push(0|Math.round(e*s.anchorX+r*s.anchorY)),i.push(s.featureIndex)}return a.sort((function(t,e){return n[t]-n[e]||i[e]-i[t]})),a},Mc.prototype.addToSortKeyRanges=function(t,e){var r=this.sortKeyRanges[this.sortKeyRanges.length-1];r&&r.sortKey===e?r.symbolInstanceEnd=t+1:this.sortKeyRanges.push({sortKey:e,symbolInstanceStart:t,symbolInstanceEnd:t+1})},Mc.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r<n.length;r+=1){var i=n[r],a=this.symbolInstances.get(i);this.featureSortOrder.push(a.featureIndex),[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},Nn(\"SymbolBucket\",Mc,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),Mc.MAX_GLYPHS=65535,Mc.addDynamicAttributes=wc;var Sc=new Si({\"symbol-placement\":new wi(Lt.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new wi(Lt.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new wi(Lt.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new Ti(Lt.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new wi(Lt.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new wi(Lt.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new wi(Lt.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new wi(Lt.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new wi(Lt.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new Ti(Lt.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new wi(Lt.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new wi(Lt.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new Ti(Lt.layout_symbol[\"icon-image\"]),\"icon-rotate\":new Ti(Lt.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new wi(Lt.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new wi(Lt.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new Ti(Lt.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new Ti(Lt.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new wi(Lt.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new wi(Lt.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new wi(Lt.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new Ti(Lt.layout_symbol[\"text-field\"]),\"text-font\":new Ti(Lt.layout_symbol[\"text-font\"]),\"text-size\":new Ti(Lt.layout_symbol[\"text-size\"]),\"text-max-width\":new Ti(Lt.layout_symbol[\"text-max-width\"]),\"text-line-height\":new wi(Lt.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new Ti(Lt.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new Ti(Lt.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new Ti(Lt.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new wi(Lt.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new Ti(Lt.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new wi(Lt.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new wi(Lt.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new Ti(Lt.layout_symbol[\"text-rotate\"]),\"text-padding\":new wi(Lt.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new wi(Lt.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new Ti(Lt.layout_symbol[\"text-transform\"]),\"text-offset\":new Ti(Lt.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new wi(Lt.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new wi(Lt.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new wi(Lt.layout_symbol[\"text-optional\"])}),Ec={paint:new Si({\"icon-opacity\":new Ti(Lt.paint_symbol[\"icon-opacity\"]),\"icon-color\":new Ti(Lt.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new Ti(Lt.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new Ti(Lt.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new Ti(Lt.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new wi(Lt.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new wi(Lt.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new Ti(Lt.paint_symbol[\"text-opacity\"]),\"text-color\":new Ti(Lt.paint_symbol[\"text-color\"],{runtimeType:Ut,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new Ti(Lt.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new Ti(Lt.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new Ti(Lt.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new wi(Lt.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new wi(Lt.paint_symbol[\"text-translate-anchor\"])}),layout:Sc},Lc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Ft,this.defaultValue=t};Lc.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},Lc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},Lc.prototype.outputDefined=function(){return!1},Lc.prototype.serialize=function(){return null},Nn(\"FormatSectionOverride\",Lc,{omit:[\"defaultValue\"]});var Cc=function(t){function e(e){t.call(this,e,Ec)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),\"auto\"===this.layout.get(\"icon-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"icon-rotation-alignment\"]=\"map\":this.layout._values[\"icon-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"text-rotation-alignment\"]=\"map\":this.layout._values[\"text-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-pitch-alignment\")&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")),\"auto\"===this.layout.get(\"icon-pitch-alignment\")&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),\"point\"===this.layout.get(\"symbol-placement\")){var n=this.layout.get(\"text-writing-mode\");if(n){for(var i=[],a=0,o=n;a<o.length;a+=1){var s=o[a];i.indexOf(s)<0&&i.push(s)}this.layout._values[\"text-writing-mode\"]=i}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()},e.prototype.getValueAndResolveTokens=function(t,e,r,n){var i=this.layout.get(t).evaluate(e,{},r,n),a=this._unevaluatedLayout._values[t];return a.isDataDriven()||Yr(a.value)||!i?i:function(t,e){return e.replace(/{([^{}]+)}/g,(function(e,r){return r in t?String(t[r]):\"\"}))}(e.properties,i)},e.prototype.createBucket=function(t){return new Mc(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=Ec.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var i=this.paint.get(n),a=new Lc(i),o=new Gr(a,i.property.specification),s=null;s=\"constant\"===i.value.kind||\"source\"===i.value.kind?new Xr(\"source\",o):new Zr(\"composite\",o,i.value.zoomStops,i.value._interpolationType),this.paint._values[n]=new bi(i.property,s,i.parameters)}}},e.prototype._handleOverridablePaintPropertyUpdate=function(t,r,n){return!(!this.layout||r.isDataDriven()||n.isDataDriven())&&e.hasPaintOverride(this.layout,t)},e.hasPaintOverride=function(t,e){var r=t.get(\"text-field\"),n=Ec.paint.properties[e],i=!1,a=function(t){for(var e=0,r=t;e<r.length;e+=1){var a=r[e];if(n.overrides&&n.overrides.hasOverride(a))return void(i=!0)}};if(\"constant\"===r.value.kind&&r.value.value instanceof ne)a(r.value.value.sections);else if(\"source\"===r.value.kind){var o=function(t){if(!i)if(t instanceof ce&&se(t.value)===Gt){var e=t.value;a(e.sections)}else t instanceof pe?a(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return i},e}(Ei),Pc={paint:new Si({\"background-color\":new wi(Lt.paint_background[\"background-color\"]),\"background-pattern\":new Ai(Lt.paint_background[\"background-pattern\"]),\"background-opacity\":new wi(Lt.paint_background[\"background-opacity\"])})},Ic=function(t){function e(e){t.call(this,e,Pc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ei),Oc={paint:new Si({\"raster-opacity\":new wi(Lt.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new wi(Lt.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new wi(Lt.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new wi(Lt.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new wi(Lt.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new wi(Lt.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new wi(Lt.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new wi(Lt.paint_raster[\"raster-fade-duration\"])})},zc=function(t){function e(e){t.call(this,e,Oc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ei);var Dc=function(t){function e(e){t.call(this,e,{}),this.implementation=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.is3D=function(){return\"3d\"===this.implementation.renderingMode},e.prototype.hasOffscreenPass=function(){return void 0!==this.implementation.prerender},e.prototype.recalculate=function(){},e.prototype.updateTransitions=function(){},e.prototype.hasTransition=function(){},e.prototype.serialize=function(){},e.prototype.onAdd=function(t){this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},e.prototype.onRemove=function(t){this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},e}(Ei),Rc={circle:_o,heatmap:Po,hillshade:Oo,fill:xs,\"fill-extrusion\":Fs,line:Xs,symbol:Cc,background:Ic,raster:zc};var Fc=self.HTMLImageElement,Bc=self.HTMLCanvasElement,Nc=self.HTMLVideoElement,jc=self.ImageData,Uc=self.ImageBitmap,Vc=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Vc.prototype.update=function(t,e,r){var n=t.width,i=t.height,a=!(this.size&&this.size[0]===n&&this.size[1]===i||r),o=this.context,s=o.gl;if(this.useMipmap=Boolean(e&&e.useMipmap),s.bindTexture(s.TEXTURE_2D,this.texture),o.pixelStoreUnpackFlipY.set(!1),o.pixelStoreUnpack.set(1),o.pixelStoreUnpackPremultiplyAlpha.set(this.format===s.RGBA&&(!e||!1!==e.premultiply)),a)this.size=[n,i],t instanceof Fc||t instanceof Bc||t instanceof Nc||t instanceof jc||Uc&&t instanceof Uc?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,i,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},c=l.x,u=l.y;t instanceof Fc||t instanceof Bc||t instanceof Nc||t instanceof jc||Uc&&t instanceof Uc?s.texSubImage2D(s.TEXTURE_2D,0,c,u,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,c,u,n,i,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Vc.prototype.bind=function(t,e,r){var n=this.context.gl;n.bindTexture(n.TEXTURE_2D,this.texture),r!==n.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(r=n.LINEAR),t!==this.filter&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,t),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,r||t),this.filter=t),e!==this.wrap&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,e),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,e),this.wrap=e)},Vc.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Vc.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var Hc=function(t){var e=this;this._callback=t,this._triggered=!1,\"undefined\"!=typeof MessageChannel&&(this._channel=new MessageChannel,this._channel.port2.onmessage=function(){e._triggered=!1,e._callback()})};Hc.prototype.trigger=function(){var t=this;this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout((function(){t._triggered=!1,t._callback()}),0))},Hc.prototype.remove=function(){delete this._channel,this._callback=function(){}};var qc=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},m([\"receive\",\"process\"],this),this.invoker=new Hc(this.process),this.target.addEventListener(\"message\",this.receive,!1),this.globalScope=k()?t:self};function Gc(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return[t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}qc.prototype.send=function(t,e,r,n,i){var a=this;void 0===i&&(i=!1);var o=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[o]=r);var s=S(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:i,sourceMapId:this.mapId,data:Hn(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:\"<cancel>\",targetMapId:n,sourceMapId:a.mapId})}}},qc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(\"<cancel>\"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else k()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},qc.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},qc.prototype.processTask=function(t,e){var r=this;if(\"<response>\"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(qn(e.error)):n(null,qn(e.data)))}else{var i=!1,a=S(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:\"<response>\",sourceMapId:r.mapId,error:e?Hn(e):null,data:Hn(n,a)},a)}:function(t){i=!0},s=null,l=qn(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var c=e.type.split(\".\");s=this.parent.getWorkerSource(e.sourceMapId,c[0],l.source)[c[1]](l,o)}else o(new Error(\"Could not find function \"+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},qc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var Yc=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Yc.prototype.setNorthEast=function(t){return this._ne=t instanceof Wc?new Wc(t.lng,t.lat):Wc.convert(t),this},Yc.prototype.setSouthWest=function(t){return this._sw=t instanceof Wc?new Wc(t.lng,t.lat):Wc.convert(t),this},Yc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Wc)e=t,r=t;else{if(!(t instanceof Yc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Yc.convert(a))}var o=t;return this.extend(Wc.convert(o))}return this}if(e=t._sw,r=t._ne,!e||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new Wc(e.lng,e.lat),this._ne=new Wc(r.lng,r.lat)),this},Yc.prototype.getCenter=function(){return new Wc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Yc.prototype.getSouthWest=function(){return this._sw},Yc.prototype.getNorthEast=function(){return this._ne},Yc.prototype.getNorthWest=function(){return new Wc(this.getWest(),this.getNorth())},Yc.prototype.getSouthEast=function(){return new Wc(this.getEast(),this.getSouth())},Yc.prototype.getWest=function(){return this._sw.lng},Yc.prototype.getSouth=function(){return this._sw.lat},Yc.prototype.getEast=function(){return this._ne.lng},Yc.prototype.getNorth=function(){return this._ne.lat},Yc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Yc.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Yc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Yc.prototype.contains=function(t){var e=Wc.convert(t),r=e.lng,n=e.lat,i=this._sw.lat<=n&&n<=this._ne.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a},Yc.convert=function(t){return!t||t instanceof Yc?t:new Yc(t)};var Wc=function(t,e){if(isNaN(t)||isNaN(e))throw new Error(\"Invalid LngLat object: (\"+t+\", \"+e+\")\");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")};Wc.prototype.wrap=function(){return new Wc(c(this.lng,-180,180),this.lat)},Wc.prototype.toArray=function(){return[this.lng,this.lat]},Wc.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Wc.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return 6371008.8*Math.acos(Math.min(i,1))},Wc.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Yc(new Wc(this.lng-r,this.lat-e),new Wc(this.lng+r,this.lat+e))},Wc.convert=function(t){if(t instanceof Wc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Wc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new Wc(Number(\"lng\"in t?t.lng:t.lon),Number(t.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]\")};var Xc=2*Math.PI*6371008.8;function Zc(t){return Xc*Math.cos(t*Math.PI/180)}function Jc(t){return(180+t)/360}function Kc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Qc(t,e){return t/Zc(e)}function $c(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var tu=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};tu.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Wc.convert(t);return new tu(Jc(r.lng),Kc(r.lat),Qc(e,r.lat))},tu.prototype.toLngLat=function(){return new Wc(360*this.x-180,$c(this.y))},tu.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Zc($c(e));var t,e},tu.prototype.meterInMercatorCoordinateUnits=function(){return 1/Xc*(t=$c(this.y),1/Math.cos(t*Math.PI/180));var t};var eu=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=iu(0,t,t,e,r)};eu.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},eu.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Gc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Gc(256*(r+1),256*(n+1),i),a[0]+\",\"+a[1]+\",\"+o[0]+\",\"+o[1]),l=function(t,e,r){for(var n,i=\"\",a=t;a>0;a--)i+=(e&(n=1<<a-1)?1:0)+(r&n?2:0);return i}(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace(\"{prefix}\",(this.x%16).toString(16)+(this.y%16).toString(16)).replace(\"{z}\",String(this.z)).replace(\"{x}\",String(this.x)).replace(\"{y}\",String(\"tms\"===e?Math.pow(2,this.z)-this.y-1:this.y)).replace(\"{quadkey}\",l).replace(\"{bbox-epsg-3857}\",s)},eu.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new i(8192*(t.x*e-this.x),8192*(t.y*e-this.y))},eu.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y};var ru=function(t,e){this.wrap=t,this.canonical=e,this.key=iu(t,e.z,e.z,e.x,e.y)},nu=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new eu(r,+n,+i),this.key=iu(e,t,r,n,i)};function iu(t,e,r,n,i){(t*=2)<0&&(t=-1*t-1);var a=1<<r;return(a*a*t+a*i+n).toString(36)+r.toString(36)+e.toString(36)}nu.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},nu.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new nu(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new nu(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},nu.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?iu(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):iu(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},nu.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ<this.overscaledZ&&t.canonical.x===this.canonical.x>>e&&t.canonical.y===this.canonical.y>>e},nu.prototype.children=function(t){if(this.overscaledZ>=t)return[new nu(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new nu(e,this.wrap,e,r,n),new nu(e,this.wrap,e,r+1,n),new nu(e,this.wrap,e,r,n+1),new nu(e,this.wrap,e,r+1,n+1)]},nu.prototype.isLessThan=function(t){return this.wrap<t.wrap||!(this.wrap>t.wrap)&&(this.overscaledZ<t.overscaledZ||!(this.overscaledZ>t.overscaledZ)&&(this.canonical.x<t.canonical.x||!(this.canonical.x>t.canonical.x)&&this.canonical.y<t.canonical.y))},nu.prototype.wrapped=function(){return new nu(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},nu.prototype.unwrapTo=function(t){return new nu(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},nu.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},nu.prototype.toUnwrapped=function(){return new ru(this.wrap,this.canonical)},nu.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},nu.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new tu(t.x-this.wrap,t.y))},Nn(\"CanonicalTileID\",eu),Nn(\"OverscaledTileID\",nu,{omit:[\"posMatrix\"]});var au=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError(\"DEM tiles must be square\");if(r&&\"mapbox\"!==r&&\"terrarium\"!==r)return _('\"'+r+'\" is not a valid encoding type. Valid types include \"mapbox\" and \"terrarium\".');this.stride=e.height;var n=this.dim=e.height-2;this.data=new Uint32Array(e.data.buffer),this.encoding=r||\"mapbox\";for(var i=0;i<n;i++)this.data[this._idx(-1,i)]=this.data[this._idx(0,i)],this.data[this._idx(n,i)]=this.data[this._idx(n-1,i)],this.data[this._idx(i,-1)]=this.data[this._idx(i,0)],this.data[this._idx(i,n)]=this.data[this._idx(i,n-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(n,-1)]=this.data[this._idx(n-1,0)],this.data[this._idx(-1,n)]=this.data[this._idx(0,n-1)],this.data[this._idx(n,n)]=this.data[this._idx(n-1,n-1)]};au.prototype.get=function(t,e){var r=new Uint8Array(this.data.buffer),n=4*this._idx(t,e);return(\"terrarium\"===this.encoding?this._unpackTerrarium:this._unpackMapbox)(r[n],r[n+1],r[n+2])},au.prototype.getUnpackVector=function(){return\"terrarium\"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},au.prototype._idx=function(t,e){if(t<-1||t>=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(e+1)*this.stride+(t+1)},au.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},au.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},au.prototype.getPixels=function(){return new Eo({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},au.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,c=a;c<o;c++)for(var u=n;u<i;u++)this.data[this._idx(u,c)]=t.data[this._idx(u+s,c+l)]},Nn(\"DEMData\",au);var ou=function(t){this._stringToNumber={},this._numberToString=[];for(var e=0;e<t.length;e++){var r=t[e];this._stringToNumber[r]=e,this._numberToString[e]=r}};ou.prototype.encode=function(t){return this._stringToNumber[t]},ou.prototype.decode=function(t){return this._numberToString[t]};var su=function(t,e,r,n,i){this.type=\"Feature\",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,this.id=i},lu={geometry:{configurable:!0}};lu.geometry.get=function(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},lu.geometry.set=function(t){this._geometry=t},su.prototype.toJSON=function(){var t={geometry:this.geometry};for(var e in this)\"_geometry\"!==e&&\"_vectorTileFeature\"!==e&&(t[e]=this[e]);return t},Object.defineProperties(su.prototype,lu);var cu=function(){this.state={},this.stateChanges={},this.deletedStates={}};cu.prototype.updateState=function(t,e,r){var n=String(e);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][n]=this.stateChanges[t][n]||{},u(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var i in this.deletedStates[t]={},this.state[t])i!==n&&(this.deletedStates[t][i]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var a in this.deletedStates[t][n]={},this.state[t][n])r[a]||(this.deletedStates[t][n][a]=null);else for(var o in r){this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]}},cu.prototype.removeFeatureState=function(t,e,r){if(!(null===this.deletedStates[t])){var n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e){if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null}else this.deletedStates[t]=null}},cu.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},i=this.stateChanges[t]||{},a=u({},n[r],i[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var o=this.deletedStates[t][e];if(null===o)return{};for(var s in o)delete a[s]}return a},cu.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},cu.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var i={};for(var a in this.stateChanges[n])this.state[n][a]||(this.state[n][a]={}),u(this.state[n][a],this.stateChanges[n][a]),i[a]=this.state[n][a];r[n]=i}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var c in this.deletedStates[o]){if(null===this.deletedStates[o][c])this.state[o][c]={};else for(var f=0,h=Object.keys(this.deletedStates[o][c]);f<h.length;f+=1){var p=h[f];delete this.state[o][c][p]}s[c]=this.state[o][c]}r[o]=r[o]||{},u(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t){t[d].setFeatureState(r,e)}};var uu=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new zn(8192,16,0),this.grid3D=new zn(8192,16,0),this.featureIndexArray=new fa,this.promoteId=e};function fu(t,e,r,n,i){return v(t,(function(t,a){var o=e instanceof _i?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function hu(t){for(var e=1/0,r=1/0,n=-1/0,i=-1/0,a=0,o=t;a<o.length;a+=1){var s=o[a];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),i=Math.max(i,s.y)}return{minX:e,minY:r,maxX:n,maxY:i}}function pu(t,e){return e-t}uu.prototype.insert=function(t,e,r,n,i,a){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,i);for(var s=a?this.grid3D:this.grid,l=0;l<e.length;l++){for(var c=e[l],u=[1/0,1/0,-1/0,-1/0],f=0;f<c.length;f++){var h=c[f];u[0]=Math.min(u[0],h.x),u[1]=Math.min(u[1],h.y),u[2]=Math.max(u[2],h.x),u[3]=Math.max(u[3],h.y)}u[0]<8192&&u[1]<8192&&u[2]>=0&&u[3]>=0&&s.insert(o,u[0],u[1],u[2],u[3])}},uu.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new Ls.VectorTile(new al(this.rawTileData)).layers,this.sourceLayerCoder=new ou(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},uu.prototype.query=function(t,e,r,n){var a=this;this.loadVTLayers();for(var o=t.params||{},s=8192/t.tileSize/t.scale,l=sn(o.filter),c=t.queryGeometry,u=t.queryPadding*s,f=hu(c),h=this.grid.query(f.minX-u,f.minY-u,f.maxX+u,f.maxY+u),p=hu(t.cameraQueryGeometry),d=this.grid3D.query(p.minX-u,p.minY-u,p.maxX+u,p.maxY+u,(function(e,r,n,a){return function(t,e,r,n,a){for(var o=0,s=t;o<s.length;o+=1){var l=s[o];if(e<=l.x&&r<=l.y&&n>=l.x&&a>=l.y)return!0}var c=[new i(e,r),new i(e,a),new i(n,a),new i(n,r)];if(t.length>2)for(var u=0,f=c;u<f.length;u+=1){if(io(t,f[u]))return!0}for(var h=0;h<t.length-1;h++){if(ao(t[h],t[h+1],c))return!0}return!1}(t.cameraQueryGeometry,e-u,r-u,n+u,a+u)})),m=0,g=d;m<g.length;m+=1){var v=g[m];h.push(v)}h.sort(pu);for(var y,x={},b=function(i){var u=h[i];if(u!==y){y=u;var f=a.featureIndexArray.get(u),p=null;a.loadMatchingFeature(x,f.bucketIndex,f.sourceLayerIndex,f.featureIndex,l,o.layers,o.availableImages,e,r,n,(function(e,r,n){return p||(p=Ya(e)),r.queryIntersectsFeature(c,e,n,p,a.z,t.transform,s,t.pixelPosMatrix)}))}},_=0;_<h.length;_++)b(_);return x},uu.prototype.loadMatchingFeature=function(t,e,r,n,i,a,o,s,l,c,u){var f=this.bucketLayerIDs[e];if(!a||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),p=this.vtLayers[h].feature(n);if(i.filter(new pi(this.tileID.overscaledZ),p))for(var d=this.getId(p,h),m=0;m<f.length;m++){var g=f[m];if(!(a&&a.indexOf(g)<0)){var v=s[g];if(v){var y={};void 0!==d&&c&&(y=c.getState(v.sourceLayer||\"_geojsonTileLayer\",d));var x=l[g];x.paint=fu(x.paint,v.paint,p,y,o),x.layout=fu(x.layout,v.layout,p,y,o);var b=!u||u(p,v,y);if(b){var _=new su(p,this.z,this.x,this.y,d);_.layer=x;var w=t[g];void 0===w&&(w=t[g]=[]),w.push({featureIndex:n,feature:_,intersectionZ:b})}}}}}},uu.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a,o,s){var l={};this.loadVTLayers();for(var c=sn(i),u=0,f=t;u<f.length;u+=1){var h=f[u];this.loadMatchingFeature(l,r,n,h,c,a,o,s,e)}return l},uu.prototype.hasLayer=function(t){for(var e=0,r=this.bucketLayerIDs;e<r.length;e+=1)for(var n=0,i=r[e];n<i.length;n+=1){if(t===i[n])return!0}return!1},uu.prototype.getId=function(t,e){var r=t.id;if(this.promoteId){var n=\"string\"==typeof this.promoteId?this.promoteId:this.promoteId[e];\"boolean\"==typeof(r=t.properties[n])&&(r=Number(r))}return r},Nn(\"FeatureIndex\",uu,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});var du=function(t,e){this.tileID=t,this.uid=h(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state=\"loading\"};du.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<R.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},du.prototype.wasRequested=function(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state},du.prototype.loadVectorData=function(t,e,r){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",t){for(var n in t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){var r={};if(!e)return r;for(var n=function(){var t=a[i],n=t.layerIds.map((function(t){return e.getLayer(t)})).filter(Boolean);if(0!==n.length){t.layers=n,t.stateDependentLayerIds&&(t.stateDependentLayers=t.stateDependentLayerIds.map((function(t){return n.filter((function(e){return e.id===t}))[0]})));for(var o=0,s=n;o<s.length;o+=1){var l=s[o];r[l.id]=t}}},i=0,a=t;i<a.length;i+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var i=this.buckets[n];if(i instanceof Mc){if(this.hasSymbolBuckets=!0,!r)break;i.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(var a in this.buckets){var o=this.buckets[a];if(o instanceof Mc&&o.hasRTLText){this.hasRTLText=!0,hi.isLoading()||hi.isLoaded()||\"deferred\"!==ui()||fi();break}}for(var s in this.queryPadding=0,this.buckets){var l=this.buckets[s];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(s).queryRadius(l))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new na},du.prototype.unloadVectorData=function(){for(var t in this.buckets)this.buckets[t].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state=\"unloaded\"},du.prototype.getBucket=function(t){return this.buckets[t.id]},du.prototype.upload=function(t){for(var e in this.buckets){var r=this.buckets[e];r.uploadPending()&&r.upload(t)}var n=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new Vc(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Vc(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},du.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},du.prototype.queryRenderedFeatures=function(t,e,r,n,i,a,o,s,l,c){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:c,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},du.prototype.querySourceFeatures=function(t,e){var r=this.latestFeatureIndex;if(r&&r.rawTileData){var n=r.loadVTLayers(),i=e?e.sourceLayer:\"\",a=n._geojsonTileLayer||n[i];if(a)for(var o=sn(e&&e.filter),s=this.tileID.canonical,l=s.z,c=s.x,u=s.y,f={z:l,x:c,y:u},h=0;h<a.length;h++){var p=a.feature(h);if(o.filter(new pi(this.tileID.overscaledZ),p)){var d=r.getId(p,i),m=new su(p,l,c,u,d);m.tile=f,t.push(m)}}}},du.prototype.hasData=function(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state},du.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},du.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=A(t.cacheControl);r[\"max-age\"]&&(this.expirationTime=Date.now()+1e3*r[\"max-age\"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),i=!1;if(this.expirationTime>n)i=!1;else if(e)if(this.expirationTime<e)i=!0;else{var a=this.expirationTime-e;a?this.expirationTime=n+Math.max(a,3e4):i=!0}else i=!0;i?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}},du.prototype.getExpiryTimeout=function(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-(new Date).getTime(),Math.pow(2,31)-1)},du.prototype.setFeatureState=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData&&0!==Object.keys(t).length){var r=this.latestFeatureIndex.loadVTLayers();for(var n in this.buckets)if(e.style.hasLayer(n)){var i=this.buckets[n],a=i.layers[0].sourceLayer||\"_geojsonTileLayer\",o=r[a],s=t[a];if(o&&s&&0!==Object.keys(s).length){i.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});var l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(i)))}}}},du.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},du.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<R.now()},du.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},du.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=R.now()+t},du.prototype.setDependencies=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){r[i[n]]=!0}this.dependencies[t]=r},du.prototype.hasDependency=function(t,e){for(var r=0,n=t;r<n.length;r+=1){var i=n[r],a=this.dependencies[i];if(a)for(var o=0,s=e;o<s.length;o+=1){if(a[s[o]])return!0}}return!1};var 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r},t.makeRequest=yt,t.mapObject=v,t.mercatorXfromLng=Jc,t.mercatorYfromLat=Kc,t.mercatorZfromAltitude=Qc,t.mul=mo,t.multiply=po,t.mvt=Ls,t.normalize=function(t,e){var r=e[0],n=e[1],i=e[2],a=r*r+n*n+i*i;return a>0&&(a=1/Math.sqrt(a)),t[0]=e[0]*a,t[1]=e[1]*a,t[2]=e[2]*a,t},t.number=qe,t.offscreenCanvasSupported=pt,t.ortho=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t},t.parseGlyphPBF=function(t){return new al(t).readFields(Tl,[])},t.pbf=al,t.performSymbolLayout=function(t,e,r,n,i,a,o){t.createArrays();var s=512*t.overscaling;t.tilePixelRatio=8192/s,t.compareText={},t.iconsNeedLinear=!1;var l=t.layers[0].layout,c=t.layers[0]._unevaluatedLayout._values,u={};if(\"composite\"===t.textSizeData.kind){var f=t.textSizeData,h=f.minZoom,p=f.maxZoom;u.compositeTextSizes=[c[\"text-size\"].possiblyEvaluate(new 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g=(c+1)%2;(0===c?r-i<=d:n-i<=m)&&(o.push(f),o.push(p-1),o.push(g)),(0===c?r+i>=d:n+i>=m)&&(o.push(p+1),o.push(u),o.push(g))}}return s}(this.ids,this.coords,t,e,r,this.nodeSize)};var j={minZoom:0,maxZoom:16,radius:40,extent:512,nodeSize:64,log:!1,generateId:!1,reduce:null,map:function(t){return t}},U=function(t){this.options=X(Object.create(j),t),this.trees=new Array(this.options.maxZoom+1)};function V(t,e,r,n,i){return{x:t,y:e,zoom:1/0,id:r,parentId:-1,numPoints:n,properties:i}}function H(t,e){var r=t.geometry.coordinates,n=r[0],i=r[1];return{x:Y(n),y:W(i),zoom:1/0,index:e,parentId:-1}}function q(t){return{type:\"Feature\",id:t.id,properties:G(t),geometry:{type:\"Point\",coordinates:[(n=t.x,360*(n-.5)),(e=t.y,r=(180-360*e)*Math.PI/180,360*Math.atan(Math.exp(r))/Math.PI-90)]}};var e,r,n}function G(t){var e=t.numPoints,r=e>=1e4?Math.round(e/1e3)+\"k\":e>=1e3?Math.round(e/100)/10+\"k\":e;return 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r=0;r<e.length;r+=3)t.minX=Math.min(t.minX,e[r]),t.minY=Math.min(t.minY,e[r+1]),t.maxX=Math.max(t.maxX,e[r]),t.maxY=Math.max(t.maxY,e[r+1])}function tt(t,e,r,n){if(e.geometry){var i=e.geometry.coordinates,a=e.geometry.type,o=Math.pow(r.tolerance/((1<<r.maxZoom)*r.extent),2),s=[],l=e.id;if(r.promoteId?l=e.properties[r.promoteId]:r.generateId&&(l=n||0),\"Point\"===a)et(i,s);else if(\"MultiPoint\"===a)for(var c=0;c<i.length;c++)et(i[c],s);else if(\"LineString\"===a)rt(i,s,o,!1);else if(\"MultiLineString\"===a){if(r.lineMetrics){for(c=0;c<i.length;c++)s=[],rt(i[c],s,o,!1),t.push(Q(l,\"LineString\",s,e.properties));return}nt(i,s,o,!1)}else if(\"Polygon\"===a)nt(i,s,o,!0);else{if(\"MultiPolygon\"!==a){if(\"GeometryCollection\"===a){for(c=0;c<e.geometry.geometries.length;c++)tt(t,{id:l,geometry:e.geometry.geometries[c],properties:e.properties},r,n);return}throw new Error(\"Input data is not a valid GeoJSON object.\")}for(c=0;c<i.length;c++){var 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u=t[c],f=u.geometry,h=u.type,p=0===i?u.minX:u.minY,d=0===i?u.maxX:u.maxY;if(p>=r&&d<n)l.push(u);else if(!(d<r||p>=n)){var m=[];if(\"Point\"===h||\"MultiPoint\"===h)st(f,m,r,n,i);else if(\"LineString\"===h)lt(f,m,r,n,i,!1,s.lineMetrics);else if(\"MultiLineString\"===h)ut(f,m,r,n,i,!1);else if(\"Polygon\"===h)ut(f,m,r,n,i,!0);else if(\"MultiPolygon\"===h)for(var g=0;g<f.length;g++){var v=[];ut(f[g],v,r,n,i,!0),v.length&&m.push(v)}if(m.length){if(s.lineMetrics&&\"LineString\"===h){for(g=0;g<m.length;g++)l.push(Q(u.id,h,m[g],u.tags));continue}\"LineString\"!==h&&\"MultiLineString\"!==h||(1===m.length?(h=\"LineString\",m=m[0]):h=\"MultiLineString\"),\"Point\"!==h&&\"MultiPoint\"!==h||(h=3===m.length?\"Point\":\"MultiPoint\"),l.push(Q(u.id,h,m,u.tags))}}}return l.length?l:null}function st(t,e,r,n,i){for(var a=0;a<t.length;a+=3){var o=t[a+i];o>=r&&o<=n&&(e.push(t[a]),e.push(t[a+1]),e.push(t[a+2]))}}function lt(t,e,r,n,i,a,o){for(var 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r=[],n=0;n<t.length;n++){var i,a=t[n],o=a.type;if(\"Point\"===o||\"MultiPoint\"===o||\"LineString\"===o)i=mt(a.geometry,e);else if(\"MultiLineString\"===o||\"Polygon\"===o){i=[];for(var s=0;s<a.geometry.length;s++)i.push(mt(a.geometry[s],e))}else if(\"MultiPolygon\"===o)for(i=[],s=0;s<a.geometry.length;s++){for(var l=[],c=0;c<a.geometry[s].length;c++)l.push(mt(a.geometry[s][c],e));i.push(l)}r.push(Q(a.id,o,i,a.tags))}return r}function mt(t,e){var r=[];r.size=t.size,void 0!==t.start&&(r.start=t.start,r.end=t.end);for(var n=0;n<t.length;n+=3)r.push(t[n]+e,t[n+1],t[n+2]);return r}function gt(t,e){if(t.transformed)return t;var r,n,i,a=1<<t.z,o=t.x,s=t.y;for(r=0;r<t.features.length;r++){var l=t.features[r],c=l.geometry,u=l.type;if(l.geometry=[],1===u)for(n=0;n<c.length;n+=2)l.geometry.push(vt(c[n],c[n+1],e,a,o,s));else for(n=0;n<c.length;n++){var f=[];for(i=0;i<c[n].length;i+=2)f.push(vt(c[n][i],c[n][i+1],e,a,o,s));l.geometry.push(f)}}return t.transformed=!0,t}function 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u={},e.tags)u[f]=e.tags[f];u.mapbox_clip_start=i.start/i.size,u.mapbox_clip_end=i.end/i.size}var h={geometry:o,type:\"Polygon\"===a||\"MultiPolygon\"===a?3:\"LineString\"===a||\"MultiLineString\"===a?2:1,tags:u};null!==e.id&&(h.id=e.id),t.features.push(h)}}function bt(t,e,r,n,i,a){var o=n*n;if(n>0&&e.size<(i?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;l<e.length;l+=3)(0===n||e[l+2]>o)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;i&&function(t,e){for(var r=0,n=0,i=t.length,a=i-2;n<i;a=n,n+=2)r+=(t[n]-t[a])*(t[n+1]+t[a+1]);if(r>0===e)for(n=0,i=t.length;n<i/2;n+=2){var o=t[n],s=t[n+1];t[n]=t[i-2-n],t[n+1]=t[i-1-n],t[i-2-n]=o,t[i-1-n]=s}}(s,a),t.push(s)}}function _t(t,e){var r=(e=this.options=function(t,e){for(var r in e)t[r]=e[r];return t}(Object.create(this.options),e)).debug;if(r&&console.time(\"preprocess data\"),e.maxZoom<0||e.maxZoom>24)throw new Error(\"maxZoom should be in the 0-24 range\");if(e.promoteId&&e.generateId)throw new Error(\"promoteId and generateId cannot be used together.\");var n=function(t,e){var r=[];if(\"FeatureCollection\"===t.type)for(var n=0;n<t.features.length;n++)tt(r,t.features[n],e,n);else\"Feature\"===t.type?tt(r,t,e):tt(r,{geometry:t},e);return r}(t,e);this.tiles={},this.tileCoords=[],r&&(console.timeEnd(\"preprocess data\"),console.log(\"index: maxZoom: %d, maxPoints: %d\",e.indexMaxZoom,e.indexMaxPoints),console.time(\"generate tiles\"),this.stats={},this.total=0),(n=function(t,e){var r=e.buffer/e.extent,n=t,i=ot(t,1,-1-r,r,0,-1,2,e),a=ot(t,1,1-r,2+r,0,-1,2,e);return(i||a)&&(n=ot(t,1,-r,1+r,0,-1,2,e)||[],i&&(n=dt(i,1).concat(n)),a&&(n=n.concat(dt(a,-1)))),n}(n,e)).length&&this.splitTile(n,0,0,0),r&&(n.length&&console.log(\"features: %d, points: %d\",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd(\"generate tiles\"),console.log(\"tiles generated:\",this.total,JSON.stringify(this.stats)))}function wt(t,e,r){return 32*((1<<t)*r+e)+t}function Tt(t,e){var r=t.tileID.canonical;if(!this._geoJSONIndex)return e(null,null);var n=this._geoJSONIndex.getTile(r.z,r.x,r.y);if(!n)return e(null,null);var i=new g(n.features),a=_(i);0===a.byteOffset&&a.byteLength===a.buffer.byteLength||(a=new Uint8Array(a)),e(null,{vectorTile:i,rawData:a.buffer})}U.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,i=e.maxZoom,a=e.nodeSize;r&&console.time(\"total time\");var o=\"prepare \"+t.length+\" points\";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(H(t[l],l));this.trees[i+1]=new N(s,Z,J,a,Float32Array),r&&console.timeEnd(o);for(var c=i;c>=n;c--){var u=+Date.now();s=this._cluster(s,c),this.trees[c]=new N(s,Z,J,a,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",c,s.length,+Date.now()-u)}return r&&console.timeEnd(\"total time\"),this},U.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],c=[],u=0,f=l.range(Y(r),W(a),Y(i),W(n));u<f.length;u+=1){var h=f[u],p=l.points[h];c.push(p.numPoints?q(p):this.points[p.index])}return c},U.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),n=\"No cluster with the specified id.\",i=this.trees[r];if(!i)throw new Error(n);var a=i.points[e];if(!a)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,c=i.within(a.x,a.y,o);l<c.length;l+=1){var u=c[l],f=i.points[u];f.parentId===t&&s.push(f.numPoints?q(f):this.points[f.index])}if(0===s.length)throw new Error(n);return s},U.prototype.getLeaves=function(t,e,r){e=e||10,r=r||0;var n=[];return this._appendLeaves(n,t,e,r,0),n},U.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),a=this.options,o=a.extent,s=a.radius/o,l=(r-s)/i,c=(r+1+s)/i,u={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,c),n.points,e,r,i,u),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,c),n.points,i,r,i,u),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,c),n.points,-1,r,i,u),u.features.length?u:null},U.prototype.getClusterExpansionZoom=function(t){for(var e=this._getOriginZoom(t)-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},U.prototype._appendLeaves=function(t,e,r,n,i){for(var a=0,o=this.getChildren(e);a<o.length;a+=1){var s=o[a],l=s.properties;if(l&&l.cluster?i+l.point_count<=n?i+=l.point_count:i=this._appendLeaves(t,l.cluster_id,r,n,i):i<n?i++:t.push(s),t.length===r)break}return i},U.prototype._addTileFeatures=function(t,e,r,n,i,a){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],c=l.numPoints,u={type:1,geometry:[[Math.round(this.options.extent*(l.x*i-r)),Math.round(this.options.extent*(l.y*i-n))]],tags:c?G(l):this.points[l.index].properties},f=void 0;c?f=l.id:this.options.generateId?f=l.index:this.points[l.index].id&&(f=this.points[l.index].id),void 0!==f&&(u.id=f),a.features.push(u)}},U.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(t,this.options.maxZoom+1))},U.prototype._cluster=function(t,e){for(var r=[],n=this.options,i=n.radius,a=n.extent,o=n.reduce,s=i/(a*Math.pow(2,e)),l=0;l<t.length;l++){var c=t[l];if(!(c.zoom<=e)){c.zoom=e;for(var u=this.trees[e+1],f=u.within(c.x,c.y,s),h=c.numPoints||1,p=c.x*h,d=c.y*h,m=o&&h>1?this._map(c,!0):null,g=(l<<5)+(e+1)+this.points.length,v=0,y=f;v<y.length;v+=1){var x=y[v],b=u.points[x];if(!(b.zoom<=e)){b.zoom=e;var _=b.numPoints||1;p+=b.x*_,d+=b.y*_,h+=_,b.parentId=g,o&&(m||(m=this._map(c,!0)),o(m,this._map(b)))}}1===h?r.push(c):(c.parentId=g,r.push(V(p/h,d/h,g,h,m)))}}return r},U.prototype._getOriginId=function(t){return t-this.points.length>>5},U.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},U.prototype._map=function(t,e){if(t.numPoints)return e?X({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?X({},n):n},_t.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},_t.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,c=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var u=1<<e,f=wt(e,r,n),h=this.tiles[f];if(!h&&(c>1&&console.time(\"creation\"),h=this.tiles[f]=yt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),c)){c>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd(\"creation\"));var p=\"z\"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<<i-e;if(r!==Math.floor(a/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||h.numPoints<=l.indexMaxPoints)continue;if(h.source=null,0!==t.length){c>1&&console.time(\"clipping\");var m,g,v,y,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;m=g=v=y=null,x=ot(t,u,r-_,r+T,0,h.minX,h.maxX,l),b=ot(t,u,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(m=ot(x,u,n-_,n+T,1,h.minY,h.maxY,l),g=ot(x,u,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(v=ot(b,u,n-_,n+T,1,h.minY,h.maxY,l),y=ot(b,u,n+w,n+k,1,h.minY,h.maxY,l),b=null),c>1&&console.timeEnd(\"clipping\"),s.push(m||[],e+1,2*r,2*n),s.push(g||[],e+1,2*r,2*n+1),s.push(v||[],e+1,2*r+1,2*n),s.push(y||[],e+1,2*r+1,2*n+1)}}},_t.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<<t,s=wt(t,e=(e%o+o)%o,r);if(this.tiles[s])return gt(this.tiles[s],i);a>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var l,c=t,u=e,f=r;!l&&c>0;)c--,u=Math.floor(u/2),f=Math.floor(f/2),l=this.tiles[wt(c,u,f)];return l&&l.source?(a>1&&console.log(\"found parent tile z%d-%d-%d\",c,u,f),a>1&&console.time(\"drilling down\"),this.splitTile(l.source,c,u,f,t,e,r),a>1&&console.timeEnd(\"drilling down\"),this.tiles[s]?gt(this.tiles[s],i):null):null};var kt=function(e){function r(t,r,n,i){e.call(this,t,r,n,Tt),i&&(this.loadGeoJSON=i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&\"Idle\"!==this._state?this._state=\"NeedsLoadData\":(this._state=\"Coalescing\",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(a,o){if(a||!o)return r(a);if(\"object\"!=typeof o)return r(new Error(\"Input data given to '\"+n.source+\"' is not a valid GeoJSON object.\"));f(o,!0);try{e._geoJSONIndex=n.cluster?new U(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),c=0,u=l;c<u.length;c+=1){var f=u[c],h=n[f],p=h[0],d=h[1],m=t.createExpression(d),g=t.createExpression(\"string\"==typeof p?[p,[\"accumulated\"],[\"get\",f]]:p);i[f]=m.value,a[f]=g.value}return r.map=function(t){s.properties=t;for(var e={},r=0,n=l;r<n.length;r+=1){var a=n[r];e[a]=i[a].evaluate(o,s)}return e},r.reduce=function(t,e){s.properties=e;for(var r=0,n=l;r<n.length;r+=1){var i=n[r];o.accumulated=t[i],t[i]=a[i].evaluate(o,s)}},r}(n)).load(o.features):function(t,e){return new _t(t,e)}(o,n.geojsonVtOptions)}catch(a){return r(a)}e.loaded={};var s={};if(i){var l=i.finish();l&&(s.resourceTiming={},s.resourceTiming[n.source]=JSON.parse(JSON.stringify(l)))}r(null,s)}))}},r.prototype.coalesce=function(){\"Coalescing\"===this._state?this._state=\"Idle\":\"NeedsLoadData\"===this._state&&(this._state=\"Coalescing\",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded,i=t.uid;return n&&n[i]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if(\"string\"!=typeof e.data)return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON 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t.Point(r.clientX-n.left-e.clientLeft,r.clientY-n.top-e.clientTop)},r.touchPos=function(e,r){for(var n=e.getBoundingClientRect(),i=[],a=0;a<r.length;a++)i.push(new t.Point(r[a].clientX-n.left-e.clientLeft,r[a].clientY-n.top-e.clientTop));return i},r.mouseButton=function(e){return void 0!==t.window.InstallTrigger&&2===e.button&&e.ctrlKey&&t.window.navigator.platform.toUpperCase().indexOf(\"MAC\")>=0?0:e.button},r.remove=function(t){t.parentNode&&t.parentNode.removeChild(t)};var h=function(e){function r(){e.call(this),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new t.RGBAImage({width:1,height:1}),this.dirty=!0}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.isLoaded=function(){return this.loaded},r.prototype.setLoaded=function(t){if(this.loaded!==t&&(this.loaded=t,t)){for(var e=0,r=this.requestors;e<r.length;e+=1){var n=r[e],i=n.ids,a=n.callback;this._notify(i,a)}this.requestors=[]}},r.prototype.getImage=function(t){return this.images[t]},r.prototype.addImage=function(t,e){this._validate(t,e)&&(this.images[t]=e)},r.prototype._validate=function(e,r){var n=!0;return this._validateStretch(r.stretchX,r.data&&r.data.width)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchX\" value'))),n=!1),this._validateStretch(r.stretchY,r.data&&r.data.height)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchY\" value'))),n=!1),this._validateContent(r.content,r)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"content\" value'))),n=!1),n},r.prototype._validateStretch=function(t,e){if(!t)return!0;for(var r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];if(a[0]<r||a[1]<a[0]||e<a[1])return!1;r=a[1]}return!0},r.prototype._validateContent=function(t,e){return!t||4===t.length&&(!(t[0]<0||e.data.width<t[0])&&(!(t[1]<0||e.data.height<t[1])&&(!(t[2]<0||e.data.width<t[2])&&(!(t[3]<0||e.data.height<t[3])&&(!(t[2]<t[0])&&!(t[3]<t[1]))))))},r.prototype.updateImage=function(t,e){var r=this.images[t];e.version=r.version+1,this.images[t]=e,this.updatedImages[t]=!0},r.prototype.removeImage=function(t){var e=this.images[t];delete this.images[t],delete this.patterns[t],e.userImage&&e.userImage.onRemove&&e.userImage.onRemove()},r.prototype.listImages=function(){return Object.keys(this.images)},r.prototype.getImages=function(t,e){var r=!0;if(!this.isLoaded())for(var n=0,i=t;n<i.length;n+=1){var a=i[n];this.images[a]||(r=!1)}this.isLoaded()||r?this._notify(t,e):this.requestors.push({ids:t,callback:e})},r.prototype._notify=function(e,r){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i];this.images[o]||this.fire(new t.Event(\"styleimagemissing\",{id:o}));var s=this.images[o];s?n[o]={data:s.data.clone(),pixelRatio:s.pixelRatio,sdf:s.sdf,version:s.version,stretchX:s.stretchX,stretchY:s.stretchY,content:s.content,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image \"'+o+'\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. You can provide missing images by listening for the \"styleimagemissing\" map event.')}r(null,n)},r.prototype.getPixelSize=function(){var t=this.atlasImage;return{width:t.width,height:t.height}},r.prototype.getPattern=function(e){var r=this.patterns[e],n=this.getImage(e);if(!n)return null;if(r&&r.position.version===n.version)return r.position;if(r)r.position.version=n.version;else{var i={w:n.data.width+2,h:n.data.height+2,x:0,y:0},a=new t.ImagePosition(i,n);this.patterns[e]={bin:i,position:a}}return this._updatePatternAtlas(),this.patterns[e].position},r.prototype.bind=function(e){var r=e.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new t.Texture(e,this.atlasImage,r.RGBA),this.atlasTexture.bind(r.LINEAR,r.CLAMP_TO_EDGE)},r.prototype._updatePatternAtlas=function(){var e=[];for(var r in this.patterns)e.push(this.patterns[r].bin);var n=t.potpack(e),i=n.w,a=n.h,o=this.atlasImage;for(var s in o.resize({width:i||1,height:a||1}),this.patterns){var l=this.patterns[s].bin,c=l.x+1,u=l.y+1,f=this.images[s].data,h=f.width,p=f.height;t.RGBAImage.copy(f,o,{x:0,y:0},{x:c,y:u},{width:h,height:p}),t.RGBAImage.copy(f,o,{x:0,y:p-1},{x:c,y:u-1},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:c,y:u+p},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:h-1,y:0},{x:c-1,y:u},{width:1,height:p}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:c+h,y:u},{width:1,height:p})}this.dirty=!0},r.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},r.prototype.dispatchRenderCallbacks=function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!this.callbackDispatchedThisFrame[n]){this.callbackDispatchedThisFrame[n]=!0;var i=this.images[n];f(i)&&this.updateImage(n,i)}}},r}(t.Evented);var p=g,d=g,m=1e20;function g(t,e,r,n,i,a){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=i||\"sans-serif\",this.fontWeight=a||\"normal\",this.radius=r||8;var o=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement(\"canvas\"),this.canvas.width=this.canvas.height=o,this.ctx=this.canvas.getContext(\"2d\"),this.ctx.font=this.fontWeight+\" \"+this.fontSize+\"px \"+this.fontFamily,this.ctx.textBaseline=\"middle\",this.ctx.fillStyle=\"black\",this.gridOuter=new Float64Array(o*o),this.gridInner=new Float64Array(o*o),this.f=new Float64Array(o),this.d=new Float64Array(o),this.z=new Float64Array(o+1),this.v=new Int16Array(o),this.middle=Math.round(o/2*(navigator.userAgent.indexOf(\"Gecko/\")>=0?1.2:1))}function v(t,e,r,n,i,a,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(y(n,i,a,o,r),l=0;l<r;l++)t[l*e+s]=i[l]}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(y(n,i,a,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(i[s])}}function y(t,e,r,n,i){r[0]=0,n[0]=-m,n[1]=+m;for(var a=1,o=0;a<i;a++){for(var s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);s<=n[o];)o--,s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);r[++o]=a,n[o]=s,n[o+1]=+m}for(a=0,o=0;a<i;a++){for(;n[o+1]<a;)o++;e[a]=(a-r[o])*(a-r[o])+t[r[o]]}}g.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),r=new Uint8ClampedArray(this.size*this.size),n=0;n<this.size*this.size;n++){var i=e.data[4*n+3]/255;this.gridOuter[n]=1===i?0:0===i?m:Math.pow(Math.max(0,.5-i),2),this.gridInner[n]=1===i?m:0===i?0:Math.pow(Math.max(0,i-.5),2)}for(v(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),v(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++){var a=this.gridOuter[n]-this.gridInner[n];r[n]=Math.max(0,Math.min(255,Math.round(255-255*(a/this.radius+this.cutoff))))}return r},p.default=d;var x=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};x.prototype.setURL=function(t){this.url=t},x.prototype.getGlyphs=function(e,r){var n=this,i=[];for(var a in e)for(var o=0,s=e[a];o<s.length;o+=1){var l=s[o];i.push({stack:a,id:l})}t.asyncAll(i,(function(t,e){var r=t.stack,i=t.id,a=n.entries[r];a||(a=n.entries[r]={glyphs:{},requests:{},ranges:{}});var o=a.glyphs[i];if(void 0===o){if(o=n._tinySDF(a,r,i))return a.glyphs[i]=o,void e(null,{stack:r,id:i,glyph:o});var s=Math.floor(i/256);if(256*s>65535)e(new Error(\"glyphs > 65535 not supported\"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i<o.length;i+=1){(0,o[i])(t,e)}delete a.requests[s]}))),l.push((function(t,n){t?e(t):n&&e(null,{stack:r,id:i,glyph:n[i]||null})}))}}else e(null,{stack:r,id:i,glyph:o})}),(function(t,e){if(t)r(t);else if(e){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.stack,l=o.id,c=o.glyph;(n[s]||(n[s]={}))[l]=c&&{id:c.id,bitmap:c.bitmap.clone(),metrics:c.metrics}}r(null,n)}}))},x.prototype._doesCharSupportLocalGlyph=function(e){return!!this.localIdeographFontFamily&&(t.isChar[\"CJK Unified Ideographs\"](e)||t.isChar[\"Hangul Syllables\"](e)||t.isChar.Hiragana(e)||t.isChar.Katakana(e))},x.prototype._tinySDF=function(e,r,n){var i=this.localIdeographFontFamily;if(i&&this._doesCharSupportLocalGlyph(n)){var a=e.tinySDF;if(!a){var o=\"400\";/bold/i.test(r)?o=\"900\":/medium/i.test(r)?o=\"500\":/light/i.test(r)&&(o=\"200\"),a=e.tinySDF=new x.TinySDF(24,3,8,.25,i,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},a.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,i,a){var o=256*r,s=o+255,l=i.transformRequest(i.normalizeGlyphsURL(n).replace(\"{fontstack}\",e).replace(\"{range}\",o+\"-\"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,(function(e,r){if(e)a(e);else if(r){for(var n={},i=0,o=t.parseGlyphPBF(r);i<o.length;i+=1){var s=o[i];n[s.id]=s}a(null,n)}}))},x.TinySDF=p;var b=function(){this.specification=t.styleSpec.light.position};b.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},b.prototype.interpolate=function(e,r,n){return{x:t.number(e.x,r.x,n),y:t.number(e.y,r.y,n),z:t.number(e.z,r.z,n)}};var _=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new b,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),w=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(_),this.setLight(r),this._transitioning=this._transitionable.untransitioned()}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getLight=function(){return this._transitionable.serialize()},r.prototype.setLight=function(e,r){if(void 0===r&&(r={}),!this._validate(t.validateLight,e,r))for(var n in e){var i=e[n];t.endsWith(n,\"-transition\")?this._transitionable.setTransition(n.slice(0,-\"-transition\".length),i):this._transitionable.setValue(n,i)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),T=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};T.prototype.getDash=function(t,e){var r=t.join(\",\")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]},T.prototype.getDashRanges=function(t,e,r){var n=[],i=t.length%2==1?-t[t.length-1]*r:0,a=t[0]*r,o=!0;n.push({left:i,right:a,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){o=!o;var c=t[l];i=s*r,a=(s+=c)*r,n.push({left:i,right:a,isDash:o,zeroLength:0===c})}return n},T.prototype.addRoundDash=function(t,e,r){for(var n=e/2,i=-r;i<=r;i++)for(var a=this.nextRow+r+i,o=this.width*a,s=0,l=t[s],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),f=Math.abs(c-l.right),h=Math.min(u,f),p=void 0,d=i/r*(n+1);if(l.isDash){var m=n-Math.abs(d);p=Math.sqrt(h*h+m*m)}else p=n-Math.sqrt(h*h+d*d);this.data[o+c]=Math.max(0,Math.min(255,p+128))}},T.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),f=Math.abs(c-l.right),h=Math.min(u,f),p=l.isDash?h:-h;this.data[o+c]=Math.max(0,Math.min(255,p+128))}},T.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce(\"LineAtlas out of space\"),null;for(var a=0,o=0;o<e.length;o++)a+=e[o];if(0!==a){var s=this.width/a,l=this.getDashRanges(e,this.width,s);r?this.addRoundDash(l,s,n):this.addRegularDash(l)}var c={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,c},T.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))};var k=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var i=this.workerPool.acquire(this.id),a=0;a<i.length;a++){var o=i[a],s=new e.Actor(o,n,this.id);s.name=\"Worker \"+a,this.actors.push(s)}};function A(e,r,n){var i=function(i,a){if(i)return n(i);if(a){var o=t.pick(t.extend(a,e),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"mapbox_logo\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);a.vector_layers&&(o.vectorLayers=a.vector_layers,o.vectorLayerIds=o.vectorLayers.map((function(t){return t.id}))),o.tiles=r.canonicalizeTileset(o,e.url),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),i):t.browser.frame((function(){return i(null,e)}))}k.prototype.broadcast=function(e,r,n){n=n||function(){},t.asyncAll(this.actors,(function(t,n){t.send(e,r,n)}),n)},k.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},k.prototype.remove=function(){this.actors.forEach((function(t){t.remove()})),this.actors=[],this.workerPool.release(this.id)},k.Actor=t.Actor;var M=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};M.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},M.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),i=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),a=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<a&&e.y>=i&&e.y<o};var S=function(e){function r(r,n,i,a){if(e.call(this),this.id=r,this.dispatcher=i,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=t.extend({type:\"vector\"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(a)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=A(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new M(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme)),i={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};function a(n,i){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(i&&i.resourceTiming&&(e.resourceTiming=i.resourceTiming),this.map._refreshExpiredTiles&&i&&e.setExpiryData(i),e.loadVectorData(i,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}i.request.collectResourceTiming=this._collectResourceTiming,e.actor&&\"expired\"!==e.state?\"loading\"===e.state?e.reloadCallback=r:e.request=e.actor.send(\"reloadTile\",i,a.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send(\"loadTile\",i,a.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send(\"abortTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),E=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.dispatcher=i,this.setEventedParent(a),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:\"raster\"},n),t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\"]))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=A(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new M(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,i=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(i,t.ResourceType.Tile),(function(i,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(i)e.state=\"errored\",r(i);else if(a){n.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(a.width),e.texture?e.texture.update(a,{useMipmap:!0}):(e.texture=new t.Texture(o,a,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state=\"loaded\",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}}))},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),L=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),this.type=\"raster-dem\",this.maxzoom=22,this._options=t.extend({type:\"raster-dem\"},n),this.encoding=n.encoding||\"mapbox\"}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.serialize=function(){return{type:\"raster-dem\",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);function i(t,n){t&&(e.state=\"errored\",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state=\"loaded\",r(null))}e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(n)e.state=\"errored\",r(n);else if(a){this.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=t.window.ImageBitmap&&a instanceof t.window.ImageBitmap&&t.offscreenCanvasSupported()?a:t.browser.getImageData(a,1),s={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:o,encoding:this.encoding};e.actor&&\"expired\"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send(\"loadDEMTile\",s,i.bind(this)))}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID)},r.prototype._getNeighboringTiles=function(e){var r=e.canonical,n=Math.pow(2,r.z),i=(r.x-1+n)%n,a=0===r.x?e.wrap-1:e.wrap,o=(r.x+1+n)%n,s=r.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state=\"unloaded\",t.actor&&t.actor.send(\"removeDEMTile\",{uid:t.uid,source:this.id})},r}(E),C=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=i.getActor(),this.setEventedParent(a),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution),this.promoteId=n.promoteId;var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1,generateId:n.generateId||!1},clusterProperties:n.clusterProperties},n.workerOptions)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:\"source\",sourceDataType:\"metadata\"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\"data\",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:\"source\",sourceDataType:\"content\"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event(\"data\",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;\"string\"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+\".loadData\",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+\".coalesce\",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,\"reloadTile\"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),P=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.x),a=Math.max(a,l.y)}var c=i-r,u=a-n,f=Math.max(c,u),h=Math.max(0,Math.floor(-Math.log(f)/Math.LN2)),p=Math.pow(2,h);return new t.CanonicalTileID(h,Math.floor((r+i)/2*p),Math.floor((n+a)/2*p))}(n),this.minzoom=this.maxzoom=this.tileID.z;var i=n.map((function(t){return r.tileID.getTilePoint(t)._round()}));return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(i[0].x,i[0].y,0,0),this._boundsArray.emplaceBack(i[1].x,i[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(i[3].x,i[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(i[2].x,i[2].y,t.EXTENT,t.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this},r.prototype.prepare=function(){if(0!==Object.keys(this.tiles).length&&this.image){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new t.Texture(e,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state=\"errored\",e(null))},r.prototype.serialize=function(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return!1},r}(t.Evented);var O=function(e){function r(t,r,n,i){e.call(this,t,r,n,i),this.roundZoom=!0,this.type=\"video\",this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1;var r=this.options;this.urls=[];for(var n=0,i=r.urls;n<i.length;n+=1){var a=i[n];this.urls.push(this.map._requestManager.transformRequest(a,t.ResourceType.Source).url)}t.getVideo(this.urls,(function(r,n){e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(e.video=n,e.video.loop=!0,e.video.addEventListener(\"playing\",(function(){e.map.triggerRepaint()})),e.map&&e.video.play(),e._finishLoading())}))},r.prototype.pause=function(){this.video&&this.video.pause()},r.prototype.play=function(){this.video&&this.video.play()},r.prototype.seek=function(e){if(this.video){var r=this.video.seekable;e<r.start(0)||e>r.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+this.id,null,\"Playback for this video can be set only between the \"+r.start(0)+\" and \"+r.end(0)+\"-second mark.\"))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),z=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return\"number\"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"coordinates\"'))),n.animate&&\"boolean\"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'optional \"animate\" property must be a boolean value'))),n.canvas?\"string\"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"canvas\"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var 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e=this.gl;e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0),this.current=t,this.dirty=!1}},e}(_t),Tt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferRenderbuffer(e.FRAMEBUFFER,e.DEPTH_ATTACHMENT,e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(_t),kt=function(t,e,r,n){this.context=t,this.width=e,this.height=r;var i=t.gl,a=this.framebuffer=i.createFramebuffer();this.colorAttachment=new wt(t,a),n&&(this.depthAttachment=new Tt(t,a))};kt.prototype.destroy=function(){var t=this.context.gl,e=this.colorAttachment.get();if(e&&t.deleteTexture(e),this.depthAttachment){var r=this.depthAttachment.get();r&&t.deleteRenderbuffer(r)}t.deleteFramebuffer(this.framebuffer)};var At=function(t,e,r){this.func=t,this.mask=e,this.range=r};At.ReadOnly=!1,At.ReadWrite=!0,At.disabled=new At(519,At.ReadOnly,[0,1]);var Mt=function(t,e,r,n,i,a){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=i,this.pass=a};Mt.disabled=new Mt({func:519,mask:0},0,0,7680,7680,7680);var St=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};St.disabled=new St(St.Replace=[1,0],t.Color.transparent,[!1,!1,!1,!1]),St.unblended=new St(St.Replace,t.Color.transparent,[!0,!0,!0,!0]),St.alphaBlended=new St([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Et=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Et.disabled=new Et(!1,1029,2305),Et.backCCW=new Et(!0,1029,2305);var Lt=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension(\"OES_vertex_array_object\"),this.clearColor=new q(this),this.clearDepth=new G(this),this.clearStencil=new Y(this),this.colorMask=new W(this),this.depthMask=new X(this),this.stencilMask=new Z(this),this.stencilFunc=new J(this),this.stencilOp=new K(this),this.stencilTest=new Q(this),this.depthRange=new $(this),this.depthTest=new tt(this),this.depthFunc=new et(this),this.blend=new rt(this),this.blendFunc=new nt(this),this.blendColor=new it(this),this.blendEquation=new at(this),this.cullFace=new ot(this),this.cullFaceSide=new st(this),this.frontFace=new lt(this),this.program=new ct(this),this.activeTexture=new ut(this),this.viewport=new ft(this),this.bindFramebuffer=new ht(this),this.bindRenderbuffer=new pt(this),this.bindTexture=new dt(this),this.bindVertexBuffer=new mt(this),this.bindElementBuffer=new gt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new vt(this),this.pixelStoreUnpack=new yt(this),this.pixelStoreUnpackPremultiplyAlpha=new xt(this),this.pixelStoreUnpackFlipY=new bt(this),this.extTextureFilterAnisotropic=t.getExtension(\"EXT_texture_filter_anisotropic\")||t.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||t.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension(\"OES_texture_half_float\"),this.extTextureHalfFloat&&(t.getExtension(\"OES_texture_half_float_linear\"),this.extRenderToTextureHalfFloat=t.getExtension(\"EXT_color_buffer_half_float\")),this.extTimerQuery=t.getExtension(\"EXT_disjoint_timer_query\")};Lt.prototype.setDefault=function(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()},Lt.prototype.setDirty=function(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.extVertexArrayObject&&(this.bindVertexArrayOES.dirty=!0),this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0},Lt.prototype.createIndexBuffer=function(t,e){return new j(this,t,e)},Lt.prototype.createVertexBuffer=function(t,e,r){return new V(this,t,e,r)},Lt.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,i=n.createRenderbuffer();return this.bindRenderbuffer.set(i),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),i},Lt.prototype.createFramebuffer=function(t,e,r){return new kt(this,t,e,r)},Lt.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,i=0;e&&(i|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(i|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(i)},Lt.prototype.setCullFace=function(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))},Lt.prototype.setDepthMode=function(t){t.func!==this.gl.ALWAYS||t.mask?(this.depthTest.set(!0),this.depthFunc.set(t.func),this.depthMask.set(t.mask),this.depthRange.set(t.range)):this.depthTest.set(!1)},Lt.prototype.setStencilMode=function(t){t.test.func!==this.gl.ALWAYS||t.mask?(this.stencilTest.set(!0),this.stencilMask.set(t.mask),this.stencilOp.set([t.fail,t.depthFail,t.pass]),this.stencilFunc.set({func:t.test.func,ref:t.ref,mask:t.test.mask})):this.stencilTest.set(!1)},Lt.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,St.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Lt.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Ct=function(e){function r(r,n,i){var a=this;e.call(this),this.id=r,this.dispatcher=i,this.on(\"data\",(function(t){\"source\"===t.dataType&&\"metadata\"===t.sourceDataType&&(a._sourceLoaded=!0),a._sourceLoaded&&!a._paused&&\"source\"===t.dataType&&\"content\"===t.sourceDataType&&(a.reload(),a.transform&&a.update(a.transform))})),this.on(\"error\",(function(){a._sourceErrored=!0})),this._source=function(e,r,n,i){var a=new D[r.type](e,r,n,i);if(a.id!==e)throw new Error(\"Expected Source id to be \"+e+\" instead of \"+a.id);return t.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],a),a}(r,n,i,this),this._tiles={},this._cache=new N(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;for(var t in this._tiles){var e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}return!0},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=!0},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,(function(){}))},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,(function(){}))},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}},r.prototype.getIds=function(){return t.values(this._tiles).map((function(t){return t.tileID})).sort(Pt).map((function(t){return t.key}))},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var i in this._tiles)this._isIdRenderable(i,e)&&n.push(this._tiles[i]);return e?n.sort((function(e,n){var i=e.tileID,a=n.tileID,o=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle),s=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle);return i.overscaledZ-a.overscaledZ||s.y-o.y||s.x-o.x})).map((function(t){return t.tileID.key})):n.map((function(t){return t.tileID})).sort(Pt).map((function(t){return t.key}))},r.prototype.hasRenderableParent=function(t){var e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)},r.prototype._isIdRenderable=function(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())},r.prototype.reload=function(){if(this._paused)this._shouldReloadOnResume=!0;else for(var t in this._cache.reset(),this._tiles)\"errored\"!==this._tiles[t].state&&this._reloadTile(t,\"reloading\")},r.prototype._reloadTile=function(t,e){var r=this._tiles[t];r&&(\"loading\"!==r.state&&(r.state=e),this._loadTile(r,this._tileLoaded.bind(this,r,t,e)))},r.prototype._tileLoaded=function(e,r,n,i){if(i)return e.state=\"errored\",void(404!==i.status?this._source.fire(new t.ErrorEvent(i,{tile:e})):this.update(this.transform));e.timeAdded=t.browser.now(),\"expired\"===n&&(e.refreshedUponExpiration=!0),this._setTileReloadTimer(r,e),\"raster-dem\"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._state.initializeTileState(e,this.map?this.map.painter:null),this._source.fire(new t.Event(\"data\",{dataType:\"source\",tile:e,coord:e.tileID}))},r.prototype._backfillDEM=function(t){for(var e=this.getRenderableIds(),r=0;r<e.length;r++){var n=e[r];if(t.neighboringTiles&&t.neighboringTiles[n]){var i=this.getTileByID(n);a(t,i),a(i,t)}}function a(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,i=Math.pow(2,t.tileID.canonical.z),a=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(It(this._source.type)){for(var c={},u={},f=0,h=Object.keys(l);f<h.length;f+=1){var p=h[f],d=l[p],m=this._tiles[p];if(m&&!(m.fadeEndTime&&m.fadeEndTime<=t.browser.now())){var g=this.findLoadedParent(d,o);g&&(this._addTile(g.tileID),c[g.tileID.key]=g.tileID),u[p]=d}}for(var v in this._retainLoadedChildren(u,a,s,l),c)l[v]||(this._coveredTiles[v]=!0,l[v]=c[v])}for(var y in l)this._tiles[y].clearFadeHold();for(var x=0,b=t.keysDifference(this._tiles,l);x<b.length;x+=1){var _=b[x],w=this._tiles[_];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(_)}this._updateLoadedParentTileCache()}},r.prototype.releaseSymbolFadeTiles=function(){for(var t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)},r.prototype._updateRetainedTiles=function(t,e){for(var n={},i={},a=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,c=t;l<c.length;l+=1){var u=c[l],f=this._addTile(u);n[u.key]=u,f.hasData()||e<this._source.maxzoom&&(s[u.key]=u)}this._retainLoadedChildren(s,e,o,n);for(var h=0,p=t;h<p.length;h+=1){var d=p[h],m=this._tiles[d.key];if(!m.hasData()){if(e+1>this._source.maxzoom){var g=d.children(this._source.maxzoom)[0],v=this.getTile(g);if(v&&v.hasData()){n[g.key]=g;continue}}else{var y=d.children(this._source.maxzoom);if(n[y[0].key]&&n[y[1].key]&&n[y[2].key]&&n[y[3].key])continue}for(var x=m.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(m=this.getTile(_))&&x&&(m=this._addTile(_)),m&&(n[_.key]=_,x=m.wasRequested(),m.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a<o.length;a+=1){var s=o[a];this._loadedParentTiles[s]=r}}},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event(\"dataloading\",{tile:r,coord:r.tileID,dataType:\"source\"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout((function(){r._reloadTile(t,\"expired\"),delete r._timers[t]}),n))},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&\"reloading\"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),c=s.map((function(t){return o.pointCoordinate(t)})),u=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,m=0,g=c;m<g.length;m+=1){var v=g[m];f=Math.min(f,v.x),h=Math.min(h,v.y),p=Math.max(p,v.x),d=Math.max(d,v.y)}for(var y=function(e){var n=i._tiles[u[e]];if(!n.holdingForFade()){var s=n.tileID,m=Math.pow(2,o.zoom-n.tileID.overscaledZ),g=r*n.queryPadding*t.EXTENT/n.tileSize/m,v=[s.getTilePoint(new t.MercatorCoordinate(f,h)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(v[0].x-g<t.EXTENT&&v[0].y-g<t.EXTENT&&v[1].x+g>=0&&v[1].y+g>=0){var y=l.map((function(t){return s.getTilePoint(t)})),x=c.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:y,cameraQueryGeometry:x,scale:m})}}},x=0;x<u.length;x++)y(x);return a},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map((function(t){return e._tiles[t].tileID})),n=0,i=r;n<i.length;n+=1){var a=i[n];a.posMatrix=this.transform.calculatePosMatrix(a.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(It(this._source.type))for(var e in this._tiles){var r=this._tiles[e];if(void 0!==r.fadeEndTime&&r.fadeEndTime>=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||\"_geojsonTileLayer\",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles){this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,\"reloading\")}this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function Pt(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function It(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function Ot(){return new t.window.Worker(Zi.workerUrl)}Ct.maxOverzooming=10,Ct.maxUnderzooming=3;var zt=\"mapboxgl_preloaded_worker_pool\",Dt=function(){this.active={}};Dt.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Dt.workerCount;)this.workers.push(new Ot);return this.active[t]=!0,this.workers.slice()},Dt.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((function(t){t.terminate()})),this.workers=null)},Dt.prototype.isPreloaded=function(){return!!this.active[zt]},Dt.prototype.numActive=function(){return Object.keys(this.active).length};var Rt,Ft=Math.floor(t.browser.hardwareConcurrency/2);function Bt(){return Rt||(Rt=new Dt),Rt}function Nt(e,r){var n={};for(var i in e)\"ref\"!==i&&(n[i]=e[i]);return t.refProperties.forEach((function(t){t in r&&(n[t]=r[t])})),n}function jt(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)\"ref\"in t[n]&&(t[n]=Nt(t[n],e[t[n].ref]));return t}Dt.workerCount=Math.max(Math.min(Ft,6),1);var Ut={setStyle:\"setStyle\",addLayer:\"addLayer\",removeLayer:\"removeLayer\",setPaintProperty:\"setPaintProperty\",setLayoutProperty:\"setLayoutProperty\",setFilter:\"setFilter\",addSource:\"addSource\",removeSource:\"removeSource\",setGeoJSONSourceData:\"setGeoJSONSourceData\",setLayerZoomRange:\"setLayerZoomRange\",setLayerProperty:\"setLayerProperty\",setCenter:\"setCenter\",setZoom:\"setZoom\",setBearing:\"setBearing\",setPitch:\"setPitch\",setSprite:\"setSprite\",setGlyphs:\"setGlyphs\",setTransition:\"setTransition\",setLight:\"setLight\"};function Vt(t,e,r){r.push({command:Ut.addSource,args:[t,e[t]]})}function Ht(t,e,r){e.push({command:Ut.removeSource,args:[t]}),r[t]=!0}function qt(t,e,r,n){Ht(t,r,n),Vt(t,e,r)}function Gt(e,r,n){var i;for(i in e[n])if(e[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;for(i in r[n])if(r[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;return!0}function Yt(e,r,n,i,a,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}))}function Wt(t){return t.id}function Xt(t,e){return t[e.id]=e,t}function Zt(e,r){if(!e)return[{command:Ut.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:Ut.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:Ut.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:Ut.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:Ut.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:Ut.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:Ut.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:Ut.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:Ut.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:Ut.setLight,args:[r.light]});var i={},a=[];!function(e,r,n,i){var a;for(a in r=r||{},e=e||{})e.hasOwnProperty(a)&&(r.hasOwnProperty(a)||Ht(a,n,i));for(a in r)r.hasOwnProperty(a)&&(e.hasOwnProperty(a)?t.deepEqual(e[a],r[a])||(\"geojson\"===e[a].type&&\"geojson\"===r[a].type&&Gt(e,r,a)?n.push({command:Ut.setGeoJSONSourceData,args:[a,r[a].data]}):qt(a,r,n,i)):Vt(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach((function(t){i[t.source]?n.push({command:Ut.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(a),function(e,r,n){r=r||[];var i,a,o,s,l,c,u,f=(e=e||[]).map(Wt),h=r.map(Wt),p=e.reduce(Xt,{}),d=r.reduce(Xt,{}),m=f.slice(),g=Object.create(null);for(i=0,a=0;i<f.length;i++)o=f[i],d.hasOwnProperty(o)?a++:(n.push({command:Ut.removeLayer,args:[o]}),m.splice(m.indexOf(o,a),1));for(i=0,a=0;i<h.length;i++)o=h[h.length-1-i],m[m.length-1-i]!==o&&(p.hasOwnProperty(o)?(n.push({command:Ut.removeLayer,args:[o]}),m.splice(m.lastIndexOf(o,m.length-a),1)):a++,c=m[m.length-i],n.push({command:Ut.addLayer,args:[d[o],c]}),m.splice(m.length-i,0,o),g[o]=!0);for(i=0;i<h.length;i++)if(s=p[o=h[i]],l=d[o],!g[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s[\"source-layer\"],l[\"source-layer\"])&&t.deepEqual(s.type,l.type)){for(u in Yt(s.layout,l.layout,n,o,null,Ut.setLayoutProperty),Yt(s.paint,l.paint,n,o,null,Ut.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:Ut.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:Ut.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}));for(u in l)l.hasOwnProperty(u)&&!s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}))}else n.push({command:Ut.removeLayer,args:[o]}),c=m[m.lastIndexOf(o)+1],n.push({command:Ut.addLayer,args:[l,c]})}(o,r.layers,n)}catch(t){console.warn(\"Unable to compute style diff:\",t),n=[{command:Ut.setStyle,args:[r]}]}return n}var Jt=function(t,e){this.reset(t,e)};Jt.prototype.reset=function(t,e){this.points=t||[],this._distances=[0];for(var r=1;r<this.points.length;r++)this._distances[r]=this._distances[r-1]+this.points[r].dist(this.points[r-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(e||0,.5*this.length),this.paddedLength=this.length-2*this.padding},Jt.prototype.lerp=function(e){if(1===this.points.length)return this.points[0];e=t.clamp(e,0,1);for(var r=1,n=this._distances[r],i=e*this.paddedLength+this.padding;n<i&&r<this._distances.length;)n=this._distances[++r];var a=r-1,o=this._distances[a],s=n-o,l=s>0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Kt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a<this.xCellCount*this.yCellCount;a++)n.push([]),i.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function Qt(e,r,n,i,a){var o=t.create();return r?(t.scale(o,o,[1/a,1/a,1]),n||t.rotateZ(o,o,i.angle)):t.multiply(o,i.labelPlaneMatrix,e),o}function $t(e,r,n,i,a){if(r){var o=t.clone(e);return t.scale(o,o,[a,a,1]),n||t.rotateZ(o,o,-i.angle),o}return i.glCoordMatrix}function te(e,r){var n=[e.x,e.y,0,1];fe(n,n,r);var i=n[3];return{point:new t.Point(n[0]/i,n[1]/i),signedDistanceFromCamera:i}}function ee(t,e){return.5+t/e*.5}function re(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ne(e,r,n,i,a,o,s,l){var c=i?e.textSizeData:e.iconSizeData,u=t.evaluateSizeForZoom(c,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,m=n.transform.width/n.transform.height,g=!1,v=0;v<d.length;v++){var y=d.get(v);if(y.hidden||y.writingMode===t.WritingMode.vertical&&!g)ue(y.numGlyphs,h);else{g=!1;var x=[y.anchorX,y.anchorY,0,1];if(t.transformMat4(x,x,r),re(x,f)){var b=x[3],_=ee(n.transform.cameraToCenterDistance,b),w=t.evaluateSizeForFeature(c,u,y),T=s?w/_:w*_,k=new t.Point(y.anchorX,y.anchorY),A=te(k,a).point,M={},S=oe(y,T,!1,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,m);g=S.useVertical,(S.notEnoughRoom||g||S.needsFlipping&&oe(y,T,!0,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,m).notEnoughRoom)&&ue(y.numGlyphs,h)}else ue(y.numGlyphs,h)}}i?e.text.dynamicLayoutVertexBuffer.updateData(h):e.icon.dynamicLayoutVertexBuffer.updateData(h)}function ie(t,e,r,n,i,a,o,s,l,c,u){var f=s.glyphStartIndex+s.numGlyphs,h=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),m=e.getoffsetX(f-1),g=le(t*d,r,n,i,a,o,s.segment,h,p,l,c,u);if(!g)return null;var v=le(t*m,r,n,i,a,o,s.segment,h,p,l,c,u);return v?{first:g,last:v}:null}function ae(e,r,n,i){if(e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*i)return{useVertical:!0};return(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function oe(e,r,n,i,a,o,s,l,c,u,f,h,p,d){var m,g=r/24,v=e.lineOffsetX*g,y=e.lineOffsetY*g;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=ie(g,l,v,y,n,f,h,e,c,o,p);if(!w)return{notEnoughRoom:!0};var T=te(w.first.point,s).point,k=te(w.last.point,s).point;if(i&&!n){var A=ae(e.writingMode,T,k,d);if(A)return A}m=[w.first];for(var M=e.glyphStartIndex+1;M<x-1;M++)m.push(le(g*l.getoffsetX(M),v,y,n,f,h,e.segment,b,_,c,o,p));m.push(w.last)}else{if(i&&!n){var S=te(h,a).point,E=e.lineStartIndex+e.segment+1,L=new t.Point(c.getx(E),c.gety(E)),C=te(L,a),P=C.signedDistanceFromCamera>0?C.point:se(h,L,S,1,a),I=ae(e.writingMode,S,P,d);if(I)return I}var O=le(g*l.getoffsetX(e.glyphStartIndex),v,y,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,c,o,p);if(!O)return{notEnoughRoom:!0};m=[O]}for(var z=0,D=m;z<D.length;z+=1){var R=D[z];t.addDynamicAttributes(u,R.point,R.angle)}return{}}function se(t,e,r,n,i){var a=te(t.add(t.sub(e)._unit()),i).point,o=r.sub(a);return r.add(o._mult(n/o.mag()))}function le(e,r,n,i,a,o,s,l,c,u,f,h){var p=i?e-r:e+r,d=p>0?1:-1,m=0;i&&(d*=-1,m=Math.PI),d<0&&(m+=Math.PI);for(var g=d>0?l+s:l+s+1,v=a,y=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((g+=d)<l||g>=c)return null;if(y=v,w.push(v),void 0===(v=h[g])){var T=new t.Point(u.getx(g),u.gety(g)),k=te(T,f);if(k.signedDistanceFromCamera>0)v=h[g]=k.point;else{var A=g-d;v=se(0===x?o:new t.Point(u.getx(A),u.gety(A)),T,y,_-x+1,f)}}x+=b,b=y.dist(v)}var M=(_-x)/b,S=v.sub(y),E=S.mult(M)._add(y);E._add(S._unit()._perp()._mult(n*d));var L=m+Math.atan2(v.y-y.y,v.x-y.x);return w.push(E),{point:E,angle:L,path:w}}Kt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Kt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Kt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Kt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Kt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Kt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var c=this.circles[3*l],u=this.circles[3*l+1],f=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:c-f,y1:u-f,x2:c+f,y2:u+f})}return a?o.filter(a):o}var h={hitTest:i,seenUids:{box:{},circle:{}}};return this._forEachCell(t,e,r,n,this._queryCell,o,h,a),i?o.length>0:o},Kt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var c=[],u={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,c,u,i),n?c.length>0:c},Kt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Kt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Kt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Kt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,c=this.boxCells[i];if(null!==c)for(var u=this.bboxes,f=0,h=c;f<h.length;f+=1){var p=h[f];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=u[d+2]&&e<=u[d+3]&&r>=u[d+0]&&n>=u[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:u[d],y1:u[d+1],x2:u[d+2],y2:u[d+3]})}}}var m=this.circleCells[i];if(null!==m)for(var g=this.circles,v=0,y=m;v<y.length;v+=1){var x=y[v];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(g[b],g[b+1],g[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return a.push(!0),!0;var _=g[b],w=g[b+1],T=g[b+2];a.push({key:this.circleKeys[x],x1:_-T,y1:w-T,x2:_+T,y2:w+T})}}}},Kt.prototype._queryCellCircle=function(t,e,r,n,i,a,o,s){var l=o.circle,c=o.seenUids,u=this.boxCells[i];if(null!==u)for(var f=this.bboxes,h=0,p=u;h<p.length;h+=1){var d=p[h];if(!c.box[d]){c.box[d]=!0;var m=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,f[m+0],f[m+1],f[m+2],f[m+3])&&(!s||s(this.boxKeys[d])))return a.push(!0),!0}}var g=this.circleCells[i];if(null!==g)for(var v=this.circles,y=0,x=g;y<x.length;y+=1){var b=x[y];if(!c.circle[b]){c.circle[b]=!0;var _=3*b;if(this._circlesCollide(v[_],v[_+1],v[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return a.push(!0),!0}}},Kt.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToXCellCoord(t),c=this._convertToYCellCoord(e),u=this._convertToXCellCoord(r),f=this._convertToYCellCoord(n),h=l;h<=u;h++)for(var p=c;p<=f;p++){var d=this.xCellCount*p+h;if(i.call(this,t,e,r,n,d,a,o,s))return}},Kt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Kt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Kt.prototype._circlesCollide=function(t,e,r,n,i,a){var o=n-t,s=i-e,l=r+a;return l*l>o*o+s*s},Kt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var c=(o-i)/2,u=Math.abs(e-(i+c));if(u>c+r)return!1;if(l<=s||u<=c)return!0;var f=l-s,h=u-c;return f*f+h*h<=r*r};var ce=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function ue(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(ce,3*n)}}function fe(t,e,r){var n=e[0],i=e[1];return t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t[3]=r[3]*n+r[7]*i+r[15],t}var he=function(t,e,r){void 0===e&&(e=new Kt(t.width+200,t.height+200,25)),void 0===r&&(r=new Kt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+100,this.screenBottomBoundary=t.height+100,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function pe(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}he.prototype.placeCollisionBox=function(t,e,r,n,i){var a=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*a.perspectiveRatio,s=t.x1*o+a.point.x,l=t.y1*o+a.point.y,c=t.x2*o+a.point.x,u=t.y2*o+a.point.y;return!this.isInsideGrid(s,l,c,u)||!e&&this.grid.hitTest(s,l,c,u,i)?{box:[],offscreen:!1}:{box:[s,l,c,u],offscreen:this.isOffscreen(s,l,c,u)}},he.prototype.placeCollisionCircles=function(e,r,n,i,a,o,s,l,c,u,f,h,p){var d=[],m=new t.Point(r.anchorX,r.anchorY),g=te(m,o),v=ee(this.transform.cameraToCenterDistance,g.signedDistanceFromCamera),y=(u?a/v:a*v)/t.ONE_EM,x=te(m,s).point,b=ie(y,i,r.lineOffsetX*y,r.lineOffsetY*y,!1,x,m,r,n,s,{}),_=!1,w=!1,T=!0;if(b){for(var k=.5*h*v+p,A=new t.Point(-100,-100),M=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new Jt,E=b.first,L=b.last,C=[],P=E.path.length-1;P>=1;P--)C.push(E.path[P]);for(var I=1;I<L.path.length;I++)C.push(L.path[I]);var O=2.5*k;if(l){var z=C.map((function(t){return te(t,l)}));C=z.some((function(t){return t.signedDistanceFromCamera<=0}))?[]:z.map((function(t){return t.point}))}var D=[];if(C.length>0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B<C.length;B++)R.x=Math.min(R.x,C[B].x),R.y=Math.min(R.y,C[B].y),F.x=Math.max(F.x,C[B].x),F.y=Math.max(F.y,C[B].y);D=R.x>=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[C]:F.x<A.x||R.x>M.x||F.y<A.y||R.y>M.y?[]:t.clipLine([C],A.x,A.y,M.x,M.y)}for(var N=0,j=D;N<j.length;N+=1){var U=j[N];S.reset(U,.25*k);var V=0;V=S.length<=.5*k?1:Math.ceil(S.paddedLength/O)+1;for(var H=0;H<V;H++){var q=H/Math.max(V-1,1),G=S.lerp(q),Y=G.x+100,W=G.y+100;d.push(Y,W,k,0);var X=Y-k,Z=W-k,J=Y+k,K=W+k;if(T=T&&this.isOffscreen(X,Z,J,K),w=w||this.isInsideGrid(X,Z,J,K),!e&&this.grid.hitTestCircle(Y,W,k,f)&&(_=!0,!c))return{circles:[],offscreen:!1,collisionDetected:_}}}}return{circles:!c&&_||!w?[]:d,offscreen:T,collisionDetected:_}},he.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,i=1/0,a=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var c=l[s],u=new t.Point(c.x+100,c.y+100);n=Math.min(n,u.x),i=Math.min(i,u.y),a=Math.max(a,u.x),o=Math.max(o,u.y),r.push(u)}for(var f={},h={},p=0,d=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o));p<d.length;p+=1){var m=d[p],g=m.key;if(void 0===f[g.bucketInstanceId]&&(f[g.bucketInstanceId]={}),!f[g.bucketInstanceId][g.featureIndex]){var v=[new t.Point(m.x1,m.y1),new t.Point(m.x2,m.y1),new t.Point(m.x2,m.y2),new t.Point(m.x1,m.y2)];t.polygonIntersectsPolygon(r,v)&&(f[g.bucketInstanceId][g.featureIndex]=!0,void 0===h[g.bucketInstanceId]&&(h[g.bucketInstanceId]=[]),h[g.bucketInstanceId].push(g.featureIndex))}}return h},he.prototype.insertCollisionBox=function(t,e,r,n,i){var a={bucketInstanceId:r,featureIndex:n,collisionGroupID:i};(e?this.ignoredGrid:this.grid).insert(a,t[0],t[1],t[2],t[3])},he.prototype.insertCollisionCircles=function(t,e,r,n,i){for(var a=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:i},s=0;s<t.length;s+=4)a.insertCircle(o,t[s],t[s+1],t[s+2])},he.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var i=[r,n,0,1];return fe(i,i,e),{point:new t.Point((i[0]/i[3]+1)/2*this.transform.width+100,(-i[1]/i[3]+1)/2*this.transform.height+100),perspectiveRatio:.5+this.transform.cameraToCenterDistance/i[3]*.5}},he.prototype.isOffscreen=function(t,e,r,n){return r<100||t>=this.screenRightBoundary||n<100||e>this.screenBottomBoundary},he.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},he.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var de=function(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r};de.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var me=function(t,e,r,n,i){this.text=new de(t?t.text:null,e,r,i),this.icon=new de(t?t.icon:null,e,n,i)};me.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var ge=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},ve=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},ye=function(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i},xe=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function be(e,r,n,i,a){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,i);return new t.Point(s+c[0]*a,l+c[1]*a)}function _e(e,r,n,i,a,o){var s=e.x1,l=e.x2,c=e.y1,u=e.y2,f=e.anchorPointX,h=e.anchorPointY,p=new t.Point(r,n);return i&&p._rotate(a?o:-o),{x1:s+p.x,y1:c+p.y,x2:l+p.x,y2:u+p.y,anchorPointX:f,anchorPointY:h}}xe.prototype.get=function(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){var e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:function(t){return t.collisionGroupID===e}}}return this.collisionGroups[t]};var we=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new he(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new xe(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function Te(t,e,r,n,i){t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0)}we.prototype.getBucketParts=function(e,r,n,i){var a=n.getBucket(r),o=n.latestFeatureIndex;if(a&&o&&r.id===a.layerIds[0]){var s=n.collisionBoxArray,l=a.layers[0].layout,c=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),u=n.tileSize/t.EXTENT,f=this.transform.calculatePosMatrix(n.tileID.toUnwrapped()),h=\"map\"===l.get(\"text-pitch-alignment\"),p=\"map\"===l.get(\"text-rotation-alignment\"),d=pe(n,1,this.transform.zoom),m=Qt(f,h,p,this.transform,d),g=null;if(h){var v=$t(f,h,p,this.transform,d);g=t.multiply([],this.transform.labelPlaneMatrix,v)}this.retainedQueryData[a.bucketInstanceId]=new ye(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);var y={bucket:a,layout:l,posMatrix:f,textLabelPlaneMatrix:m,labelToScreenMatrix:g,scale:c,textPixelRatio:u,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(var x=0,b=a.sortKeyRanges;x<b.length;x+=1){var _=b[x],w=_.sortKey,T=_.symbolInstanceStart,k=_.symbolInstanceEnd;e.push({sortKey:w,symbolInstanceStart:T,symbolInstanceEnd:k,parameters:y})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:y})}},we.prototype.attemptAnchorPlacement=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d){var m,g=[f.textOffset0,f.textOffset1],v=be(t,r,n,g,i),y=this.collisionIndex.placeCollisionBox(_e(e,v.x,v.y,a,o,this.transform.angle),u,s,l,c.predicate);if(d&&0===this.collisionIndex.placeCollisionBox(_e(d,v.x,v.y,a,o,this.transform.angle),u,s,l,c.predicate).box.length)return;if(y.box.length>0)return this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(m=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:g,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:m},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:v,placedGlyphBoxes:y}},we.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,c=a.textLabelPlaneMatrix,u=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,m=a.collisionGroup,g=s.get(\"text-optional\"),v=s.get(\"icon-optional\"),y=s.get(\"text-allow-overlap\"),x=s.get(\"icon-allow-overlap\"),b=\"map\"===s.get(\"text-rotation-alignment\"),_=\"map\"===s.get(\"text-pitch-alignment\"),w=\"none\"!==s.get(\"icon-text-fit\"),T=\"viewport-y\"===s.get(\"symbol-z-order\"),k=y&&(x||!o.hasIconData()||v),A=x&&(y||!o.hasTextData()||g);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new ge(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,L={box:null,offscreen:null},C={box:null,offscreen:null},P=null,I=null,O=0,z=0,D=0;a.textFeatureIndex?O=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(O=e.featureIndex),a.verticalTextFeatureIndex&&(z=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i<s.length;i+=1){if(s[i]===t.WritingMode.vertical?(L=n(),C=L):L=r(),L&&L.box&&L.box.length)break}else L=r()};if(s.get(\"text-variable-anchor\")){var N=s.get(\"text-variable-anchor\");if(i.prevPlacement&&i.prevPlacement.variableOffsets[e.crossTileID]){var j=i.prevPlacement.variableOffsets[e.crossTileID];N.indexOf(j.anchor)>0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,c=e.textBoxScale,u=w&&!x?r:null,h={box:[],offscreen:!1},p=y?2*N.length:N.length,d=0;d<p;++d){var g=N[d%N.length],v=d>=N.length,k=i.attemptAnchorPlacement(g,t,a,s,c,b,_,f,l,m,v,e,o,n,u);if(k&&(h=k.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=k.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var H=i.prevPlacement.variableOffsets[e.crossTileID];H&&(i.variableOffsets[e.crossTileID]=H,i.markUsedJustification(o,H.anchor,e,V))}}else{var q=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,y,f,l,m.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return q(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?q(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),Y=t.evaluateSizeForFeature(o.textSizeData,d,G),W=s.get(\"text-padding\"),X=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(y,G,o.lineVertexArray,o.glyphOffsetArray,Y,l,c,u,n,_,m.predicate,X,W),T=y||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(D=a.iconFeatureIndex),a.iconBox){var Z=function(t){var e=w&&E?_e(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,m.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(I=Z(a.verticalIconBox)).box.length>0:(I=Z(a.iconBox)).box.length>0,S=S&&I.offscreen}var J=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,K=v||0===e.numIconVertices;if(J||K?K?J||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(C&&C.box&&z?i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,z,m.ID):i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,O,m.ID)),M&&I&&i.collisionIndex.insertCollisionBox(I.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,D,m.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get(\"text-ignore-placement\"),o.bucketInstanceId,O,m.ID),n)){var Q=o.bucketInstanceId,$=i.collisionCircleArrays[Q];void 0===$&&($=i.collisionCircleArrays[Q]=new ve);for(var tt=0;tt<P.circles.length;tt+=4)$.circles.push(P.circles[tt+0]),$.circles.push(P.circles[tt+1]),$.circles.push(P.circles[tt+2]),$.circles.push(P.collisionDetected?1:0)}i.placements[e.crossTileID]=new ge(T||k,M||A,S||o.justReloaded),r[e.crossTileID]=!0}};if(T)for(var S=o.getSortedSymbolIndexes(this.transform.angle),E=S.length-1;E>=0;--E){var L=S[E];M(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C<e.symbolInstanceEnd;C++)M(o.symbolInstances.get(C),o.collisionArrays[C]);if(n&&o.bucketInstanceId in this.collisionCircleArrays){var P=this.collisionCircleArrays[o.bucketInstanceId];t.invert(P.invProjMatrix,l),P.viewportMatrix=this.collisionIndex.getViewportMatrix()}o.justReloaded=!1},we.prototype.markUsedJustification=function(e,r,n,i){var a,o={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};a=i===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:o[t.getAnchorJustification(r)];for(var s=0,l=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];s<l.length;s+=1){var c=l[s];c>=0&&(e.text.placedSymbolArray.get(c).crossTileID=a>=0&&c!==a?0:n.crossTileID)}},we.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1){var l=s[o];e.text.placedSymbolArray.get(l).placedOrientation=i}n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=a)},we.prototype.commit=function(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;var e=this.prevPlacement,r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;var n=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],c=i[s];c?(this.opacities[s]=new me(c,n,l.text,l.icon),r=r||l.text!==c.text.placed||l.icon!==c.icon.placed):(this.opacities[s]=new me(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var u in i){var f=i[u];if(!this.opacities[u]){var h=new me(f,n,!1,!1);h.isHidden()||(this.opacities[u]=h,r=r||f.text.placed||f.icon.placed)}}for(var p in a)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=a[p]);for(var d in o)this.placedOrientations[d]||!this.opacities[d]||this.opacities[d].isHidden()||(this.placedOrientations[d]=o[d]);r?this.lastPlacementChangeTime=t:\"number\"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)},we.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){var a=i[n],o=a.getBucket(t);o&&a.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,a.collisionBoxArray)}},we.prototype.updateBucketOpacities=function(e,r,n){var i=this;e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexArray.clear(),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexArray.clear();var a=e.layers[0].layout,o=new me(null,0,!1,!1,!0),s=a.get(\"text-allow-overlap\"),l=a.get(\"icon-allow-overlap\"),c=a.get(\"text-variable-anchor\"),u=\"map\"===a.get(\"text-rotation-alignment\"),f=\"map\"===a.get(\"text-pitch-alignment\"),h=\"none\"!==a.get(\"icon-text-fit\"),p=new me(null,0,s&&(l||!e.hasIconData()||a.get(\"icon-optional\")),l&&(s||!e.hasTextData()||a.get(\"text-optional\")),!0);!e.collisionArrays&&n&&(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData())&&e.deserializeCollisionBoxes(n);for(var d=function(t,e,r){for(var n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r)},m=function(n){var a=e.symbolInstances.get(n),s=a.numHorizontalGlyphVertices,l=a.numVerticalGlyphVertices,m=a.crossTileID,g=r[m],v=i.opacities[m];g?v=o:v||(v=p,i.opacities[m]=v),r[m]=!0;var y=s>0||l>0,x=a.numIconVertices>0,b=i.placedOrientations[a.crossTileID],_=b===t.WritingMode.vertical,w=b===t.WritingMode.horizontal||b===t.WritingMode.horizontalOnly;if(y){var T=Pe(v.text),k=_?Ie:T;d(e.text,s,k);var A=w?Ie:T;d(e.text,l,A);var M=v.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||_?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=M||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,b);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,\"left\",a,E),i.markUsedOrientation(e,E,a))}if(x){var L=Pe(v.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:Ie;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=v.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var I=C?Ie:L;d(e.icon,a.numVerticalIconVertices,I),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=v.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var O=e.collisionArrays[n];if(O){var z=new t.Point(0,0);if(O.textBox||O.verticalTextBox){var D=!0;if(c){var R=i.variableOffsets[m];R?(z=be(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),u&&z._rotate(f?i.transform.angle:-i.transform.angle)):D=!1}O.textBox&&Te(e.textCollisionBox.collisionVertexArray,v.text.placed,!D||_,z.x,z.y),O.verticalTextBox&&Te(e.textCollisionBox.collisionVertexArray,v.text.placed,!D||w,z.x,z.y)}var F=Boolean(!w&&O.verticalIconBox);O.iconBox&&Te(e.iconCollisionBox.collisionVertexArray,v.icon.placed,F,h?z.x:0,h?z.y:0),O.verticalIconBox&&Te(e.iconCollisionBox.collisionVertexArray,v.icon.placed,!F,h?z.x:0,h?z.y:0)}}},g=0;g<e.symbolInstances.length;g++)m(g);if(e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexBuffer&&e.iconCollisionBox.collisionVertexBuffer.updateData(e.iconCollisionBox.collisionVertexArray),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexBuffer&&e.textCollisionBox.collisionVertexBuffer.updateData(e.textCollisionBox.collisionVertexArray),e.bucketInstanceId in this.collisionCircleArrays){var v=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=v.invProjMatrix,e.placementViewportMatrix=v.viewportMatrix,e.collisionCircleArray=v.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},we.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},we.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},we.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},we.prototype.stillRecent=function(t,e){var r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t},we.prototype.setStale=function(){this.stale=!0};var ke=Math.pow(2,25),Ae=Math.pow(2,24),Me=Math.pow(2,17),Se=Math.pow(2,16),Ee=Math.pow(2,9),Le=Math.pow(2,8),Ce=Math.pow(2,1);function Pe(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*ke+e*Ae+r*Me+e*Se+r*Ee+e*Le+r*Ce+e}var Ie=0,Oe=function(t){this._sortAcrossTiles=\"viewport-y\"!==t.layout.get(\"symbol-z-order\")&&void 0!==t.layout.get(\"symbol-sort-key\").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Oe.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex<t.length;){var o=t[this._currentTileIndex];if(e.getBucketParts(a,n,o,this._sortAcrossTiles),this._currentTileIndex++,i())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,a.sort((function(t,e){return t.sortKey-e.sortKey})));this._currentPartIndex<a.length;){var s=a[this._currentPartIndex];if(e.placeLayerBucketPart(s,this._seenCrossTileIDs,r),this._currentPartIndex++,i())return!0}return!1};var ze=function(t,e,r,n,i,a,o){this.placement=new we(t,i,a,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};ze.prototype.isDone=function(){return this._done},ze.prototype.continuePlacement=function(e,r,n){for(var i=this,a=t.browser.now(),o=function(){var e=t.browser.now()-a;return!i._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Oe(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},ze.prototype.commit=function(t){return this.placement.commit(t),this.placement};var De=512/t.EXTENT/2,Re=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var i=e.get(n),a=i.key;this.indexedSymbolInstances[a]||(this.indexedSymbolInstances[a]=[]),this.indexedSymbolInstances[a].push({crossTileID:i.crossTileID,coord:this.getScaledCoordinates(i,t)})}};Re.prototype.getScaledCoordinates=function(e,r){var n=r.canonical.z-this.tileID.canonical.z,i=De/Math.pow(2,n);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*i),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*i)}},Re.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),i=0;i<t.length;i++){var a=t.get(i);if(!a.crossTileID){var o=this.indexedSymbolInstances[a.key];if(o)for(var s=this.getScaledCoordinates(a,e),l=0,c=o;l<c.length;l+=1){var u=c[l];if(Math.abs(u.coord.x-s.x)<=n&&Math.abs(u.coord.y-s.y)<=n&&!r[u.crossTileID]){r[u.crossTileID]=!0,a.crossTileID=u.crossTileID;break}}}}};var Fe=function(){this.maxCrossTileID=0};Fe.prototype.generate=function(){return++this.maxCrossTileID};var Be=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Be.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],i={};for(var a in n){var o=n[a];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),i[o.tileID.key]=o}this.indexes[r]=i}this.lng=t},Be.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++){e.symbolInstances.get(n).crossTileID=0}this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var i=this.usedCrossTileIDs[t.overscaledZ];for(var a in this.indexes){var o=this.indexes[a];if(Number(a)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var c=o[t.scaledTo(Number(a)).key];c&&c.findMatches(e.symbolInstances,t,i)}}for(var u=0;u<e.symbolInstances.length;u++){var f=e.symbolInstances.get(u);f.crossTileID||(f.crossTileID=r.generate(),i[f.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new Re(t,e.symbolInstances,e.bucketInstanceId),!0},Be.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,i=e.indexedSymbolInstances[r];n<i.length;n+=1){var a=i[n];delete this.usedCrossTileIDs[t][a.crossTileID]}},Be.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var i in n)t[n[i].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[i]),delete n[i],e=!0)}return e};var Ne=function(){this.layerIndexes={},this.crossTileIDs=new Fe,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Ne.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Be);var i=!1,a={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],c=l.getBucket(t);c&&t.id===c.layerIds[0]&&(c.bucketInstanceId||(c.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,c,this.crossTileIDs)&&(i=!0),a[c.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i},Ne.prototype.pruneUnusedLayers=function(t){var e={};for(var r in t.forEach((function(t){e[t]=!0})),this.layerIndexes)e[r]||delete this.layerIndexes[r]};var je=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return\"source.canvas\"!==t.identifier})))},Ue=t.pick(Ut,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),Ve=t.pick(Ut,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),He=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var i=t.styleSpec.$root[n];if(i.required){var a=null;null!=(a=\"version\"===n?r:\"array\"===i.type?[]:{})&&(e[n]=a)}}return e}(),qe=function(e){function r(n,i){var a=this;void 0===i&&(i={}),e.call(this),this.map=n,this.dispatcher=new k(Bt(),this),this.imageManager=new h,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,i.localIdeographFontFamily),this.lineAtlas=new T(256,512),this.crossTileSymbolIndex=new Ne,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"setReferrer\",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginStateChange((function(e){var r={pluginStatus:e.pluginStatus,pluginURL:e.pluginURL};o.dispatcher.broadcast(\"syncRTLPluginState\",r,(function(e,r){if((t.triggerPluginCompletionEvent(e),r)&&r.every((function(t){return t})))for(var n in o.sourceCaches)o.sourceCaches[n].reload()}))})),this.on(\"data\",(function(t){if(\"source\"===t.dataType&&\"metadata\"===t.sourceDataType){var e=a.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in a._layers){var i=a._layers[n];i.source===r.id&&a._validateLayer(i)}}}}))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"}));var i=\"boolean\"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var a=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(a,(function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,i)}))},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._request=t.browser.frame((function(){n._request=null,n._load(e,!1!==r.validate)}))},r.prototype.loadEmpty=function(){this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._load(He,!1)},r.prototype._load=function(e,r){if(!r||!je(this,t.validateStyle(e))){for(var n in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(n,e.sources[n],{validate:!1});e.sprite?this._loadSprite(e.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var i=jt(this.stylesheet.layers);this._order=i.map((function(t){return t.id})),this._layers={},this._serializedLayers={};for(var a=0,o=i;a<o.length;a+=1){var s=o[a];(s=t.createStyleLayer(s)).setEventedParent(this,{layer:{id:s.id}}),this._layers[s.id]=s,this._serializedLayers[s.id]=s.serialize()}this.dispatcher.broadcast(\"setLayers\",this._serializeLayers(this._order)),this.light=new w(this.stylesheet.light),this.fire(new t.Event(\"data\",{dataType:\"style\"})),this.fire(new t.Event(\"style.load\"))}},r.prototype._loadSprite=function(e){var r=this;this._spriteRequest=function(e,r,n){var i,a,o,s=t.browser.devicePixelRatio>1?\"@2x\":\"\",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,\".json\"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,u())})),c=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),(function(t,e){c=null,o||(o=t,a=e,u())}));function u(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],c=l.width,u=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,m=l.stretchX,g=l.stretchY,v=l.content,y=new t.RGBAImage({width:c,height:u});t.RGBAImage.copy(e,y,{x:f,y:h},{x:0,y:0},{width:c,height:u}),r[s]={data:y,pixelRatio:d,sdf:p,stretchX:m,stretchY:g,content:v}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),c&&(c.cancel(),c=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast(\"setImages\",r._availableImages),r.fire(new t.Event(\"data\",{dataType:\"style\"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();(\"geojson\"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+n+'\" does not exist on source \"'+i.id+'\" as specified by style layer \"'+e.id+'\"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=this._layers[i];\"custom\"!==a.type&&e.push(a.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),i=Object.keys(this._removedLayers);for(var a in(n.length||i.length)&&this._updateWorkerLayers(n,i),this._updatedSources){var o=this._updatedSources[a];\"reload\"===o?this._reloadSource(a):\"clear\"===o&&this._clearSource(a)}for(var s in this._updateTilesForChangedImages(),this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}for(var l in this.sourceCaches)this.sourceCaches[l].used=!1;for(var c=0,u=this._order;c<u.length;c+=1){var f=u[c],h=this._layers[f];h.recalculate(e,this._availableImages),!h.isHidden(e.zoom)&&h.source&&(this.sourceCaches[h.source].used=!0)}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event(\"data\",{dataType:\"style\"}))}},r.prototype._updateTilesForChangedImages=function(){var t=Object.keys(this._changedImages);if(t.length){for(var e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies([\"icons\",\"patterns\"],t);this._changedImages={}}},r.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast(\"updateLayers\",{layers:this._serializeLayers(t),removedIds:e})},r.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),je(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=jt(e.layers);var n=Zt(this.serialize(),e).filter((function(t){return!(t.command in Ve)}));if(0===n.length)return!1;var i=n.filter((function(t){return!(t.command in Ue)}));if(i.length>0)throw new Error(\"Unimplemented: \"+i.map((function(t){return t.command})).join(\", \")+\".\");return n.forEach((function(t){\"setTransition\"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(e,r),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"No image with this name exists.\")));this.imageManager.removeImage(e),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error(\"There is already a source with this ID\");if(!r.type)throw new Error(\"The type property must be defined, but the only the following properties were given: \"+Object.keys(r).join(\", \")+\".\");if(!([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0)||!this._validate(t.validateStyle.source,\"sources.\"+e,r,null,n)){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Ct(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error(\"There is no source with this ID\");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source \"'+e+'\" cannot be removed while layer \"'+r+'\" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id \"'+i+'\" already exists on this map')));else{var a;if(\"custom\"===e.type){if(je(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if(\"object\"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,\"layers.\"+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&\"custom\"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]=\"clear\":(this._updatedSources[a.source]=\"reload\",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be moved.\")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be removed.\")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot have zoom extent.\")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,\"layers.\"+i.id+\".filter\",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be filtered.\")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style.\")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;\"geojson\"===o&&i?this.fire(new t.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o=\"vector\"===a?e.sourceLayer:void 0;\"vector\"!==a||o?r&&\"string\"!=typeof e.id&&\"number\"!=typeof e.id?this.fire(new t.ErrorEvent(new Error(\"A feature id is requred to remove its specific state property.\"))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if(\"vector\"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+r+\"' does not exist in the map's style.\")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&\"raster\"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]=\"reload\",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return\"fill-extrusion\"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s<l.length;s+=1){var c=l[s][o];if(c)for(var u=0,f=c;u<f.length;u+=1){var h=f[u];i.push(h)}}}}i.sort((function(t,e){return e.intersectionZ-t.intersectionZ}));for(var p=[],d=this._order.length-1;d>=0;d--){var m=this._order[d];if(r(m))for(var g=i.length-1;g>=0;g--){var v=i[g].feature;if(n[v.layer.id]<d)break;p.push(v),i.pop()}else for(var y=0,x=t;y<x.length;y+=1){var b=x[y][m];if(b)for(var _=0,w=b;_<w.length;_+=1){var T=w[_];p.push(T.feature)}}}return p},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,\"queryRenderedFeatures.filter\",r.filter,null,r);var i={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new t.ErrorEvent(new Error(\"parameters.layers must be an Array.\"))),[];for(var a=0,o=r.layers;a<o.length;a+=1){var s=o[a],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error(\"The layer '\"+s+\"' does not exist in the map's style and cannot be queried for features.\"))),[];i[l.source]=!0}}var c=[];for(var u in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!i[u]||c.push(F(this.sourceCaches[u],this._layers,this._serializedLayers,e,r,n));return this.placement&&c.push(function(t,e,r,n,i,a,o){for(var s={},l=a.queryRenderedSymbols(n),c=[],u=0,f=Object.keys(l).map(Number);u<f.length;u+=1){var h=f[u];c.push(o[h])}c.sort(B);for(var p=function(){var r=m[d],n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,i.filter,i.layers,i.availableImages,t);for(var a in n){var o=s[a]=s[a]||[],c=n[a];c.sort((function(t,e){var n=r.featureSortOrder;if(n){var i=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-i}return e.featureIndex-t.featureIndex}));for(var u=0,f=c;u<f.length;u+=1){var h=f[u];o.push(h)}}},d=0,m=c;d<m.length;d+=1)p();var g=function(e){s[e].forEach((function(n){var i=n.feature,a=t[e],o=r[a.source].getFeatureState(i.layer[\"source-layer\"],i.id);i.source=i.layer.source,i.layer[\"source-layer\"]&&(i.sourceLayer=i.layer[\"source-layer\"]),i.state=o}))};for(var v in s)g(v);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(c)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,\"querySourceFeatures.filter\",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map((function(e){return t.getTileByID(e)})),n=[],i={},a=0;a<r.length;a++){var o=r[a],s=o.tileID.canonical.key;i[s]||(i[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called \"'+t+'\" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast(\"loadWorkerSource\",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),i=!1;for(var a in e)if(!t.deepEqual(e[a],n[a])){i=!0;break}if(i){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,i,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&je(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},i)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off(\"pluginStateChange\",this._rtlTextPluginCallback),this._layers){this._layers[e].setEventedParent(null)}for(var r in this.sourceCaches)this.sourceCaches[r].clearTiles(),this.sourceCaches[r].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,i,a){void 0===a&&(a=!1);for(var o=!1,s=!1,l={},c=0,u=this._order;c<u.length;c+=1){var f=u[c],h=this._layers[f];if(\"symbol\"===h.type){if(!l[h.source]){var p=this.sourceCaches[h.source];l[h.source]=p.getRenderableIds(!0).map((function(t){return p.getTileByID(t)})).sort((function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)}))}var d=this.crossTileSymbolIndex.addLayer(h,l[h.source],e.center.lng);o=o||d}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((a=a||this._layerOrderChanged||0===n)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now(),e.zoom))&&(this.pauseablePlacement=new ze(e,this._order,a,r,n,i,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(var m=0,g=this._order;m<g.length;m+=1){var v=g[m],y=this._layers[v];\"symbol\"===y.type&&this.placement.updateLayerOpacities(y,l[y.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(t.browser.now())},r.prototype._releaseSymbolFadeTiles=function(){for(var t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()},r.prototype.getImages=function(t,e,r){this.imageManager.getImages(e.icons,r),this._updateTilesForChangedImages();var n=this.sourceCaches[e.source];n&&n.setDependencies(e.tileID.key,e.type,e.icons)},r.prototype.getGlyphs=function(t,e,r){this.glyphManager.getGlyphs(e.stacks,r)},r.prototype.getResource=function(e,r,n){return t.makeRequest(r,n)},r}(t.Evented);qe.getSourceType=function(t){return D[t]},qe.setSourceType=function(t,e){D[t]=e},qe.registerForPluginStateChange=t.registerForPluginStateChange;var Ge=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Ye=yr(\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\",\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}\"),We=yr(\"uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),Xe=yr(\"uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}\"),Ze=yr(\"varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main(void) {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}\"),Je=yr(\"void main() {gl_FragColor=vec4(1.0);}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),Ke=yr(\"uniform highp float u_intensity;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main() {\\n#pragma mapbox: initialize highp float weight\\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#pragma mapbox: define mediump float radius\\nconst highp float ZERO=1.0/255.0/16.0;\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main(void) {\\n#pragma mapbox: initialize highp float weight\\n#pragma mapbox: initialize mediump float radius\\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}\"),Qe=yr(\"uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(0.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}\"),$e=yr(\"varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),tr=yr(\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\"),er=yr(\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}\"),rr=yr(\"#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_FragColor=color*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);}\"),nr=yr(\"varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),ir=yr(\"uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),ar=yr(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}\"),or=yr(\"varying vec4 v_color;void main() {gl_FragColor=v_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\\n#pragma mapbox: define highp float base\\n#pragma mapbox: define highp float height\\n#pragma mapbox: define highp vec4 color\\nvoid main() {\\n#pragma mapbox: initialize highp float base\\n#pragma mapbox: initialize highp float height\\n#pragma mapbox: initialize highp vec4 color\\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}\"),sr=yr(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\\n? a_pos\\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}\"),lr=yr(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform float u_maxzoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggeration=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/ pow(2.0,(u_zoom-u_maxzoom)*exaggeration+19.2562-u_zoom);gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\"),cr=yr(\"uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\\n#define PI 3.141592653589793\\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\"),ur=yr(\"uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),fr=yr(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,vec2(v_lineprogress,0.5));gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define MAX_LINE_DISTANCE 32767.0\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_lineprogress=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0/MAX_LINE_DISTANCE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),hr=yr(\"uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}\"),pr=yr(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}\"),dr=yr(\"uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\"),mr=yr(\"uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}\"),gr=yr(\"#define SDF_PX 8.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}\"),vr=yr(\"#define SDF_PX 8.0\\n#define SDF 1.0\\n#define ICON 0.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}\");function yr(t,e){var r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n={};return{fragmentSource:t=t.replace(r,(function(t,e,r,i,a){return n[a]=!0,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"})),vertexSource:e=e.replace(r,(function(t,e,r,i,a){var o=\"float\"===i?\"vec2\":\"vec4\",s=a.match(/color/)?\"color\":o;return n[a]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+a+\" = a_\"+a+\";\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = a_\"+a+\";\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"}))}}var xr=Object.freeze({__proto__:null,prelude:Ye,background:We,backgroundPattern:Xe,circle:Ze,clippingMask:Je,heatmap:Ke,heatmapTexture:Qe,collisionBox:$e,collisionCircle:tr,debug:er,fill:rr,fillOutline:nr,fillOutlinePattern:ir,fillPattern:ar,fillExtrusion:or,fillExtrusionPattern:sr,hillshadePrepare:lr,hillshade:cr,line:ur,lineGradient:fr,linePattern:hr,lineSDF:pr,raster:dr,symbolIcon:mr,symbolSDF:gr,symbolTextAndIcon:vr}),br=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};br.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,c=0;!l&&c<n.length;c++)this.boundPaintVertexBuffers[c]!==n[c]&&(l=!0);var u=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||l||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||u?this.freshBind(e,r,n,i,a,o,s):(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind())},br.prototype.freshBind=function(t,e,r,n,i,a,o){var s,l=t.numAttributes,c=this.context,u=c.gl;if(c.extVertexArrayObject)this.vao&&this.destroy(),this.vao=c.extVertexArrayObject.createVertexArrayOES(),c.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=i,this.boundDynamicVertexBuffer=a,this.boundDynamicVertexBuffer2=o;else{s=c.currentNumAttributes||0;for(var f=l;f<s;f++)u.disableVertexAttribArray(f)}e.enableAttributes(u,t);for(var h=0,p=r;h<p.length;h+=1){p[h].enableAttributes(u,t)}a&&a.enableAttributes(u,t),o&&o.enableAttributes(u,t),e.bind(),e.setVertexAttribPointers(u,t,i);for(var d=0,m=r;d<m.length;d+=1){var g=m[d];g.bind(),g.setVertexAttribPointers(u,t,i)}a&&(a.bind(),a.setVertexAttribPointers(u,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(u,t,i)),c.currentNumAttributes=l},br.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var _r=function(t,e,r,n,i){var a=t.gl;this.program=a.createProgram();var o=r?r.defines():[];i&&o.push(\"#define OVERDRAW_INSPECTOR;\");var s=o.concat(Ye.fragmentSource,e.fragmentSource).join(\"\\n\"),l=o.concat(Ye.vertexSource,e.vertexSource).join(\"\\n\"),c=a.createShader(a.FRAGMENT_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(c,s),a.compileShader(c),a.attachShader(this.program,c);var u=a.createShader(a.VERTEX_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(u,l),a.compileShader(u),a.attachShader(this.program,u);for(var f=r?r.layoutAttributes:[],h=0;h<f.length;h++)a.bindAttribLocation(this.program,h,f[h].name);a.linkProgram(this.program),a.deleteShader(u),a.deleteShader(c),this.numAttributes=a.getProgramParameter(this.program,a.ACTIVE_ATTRIBUTES),this.attributes={};for(var p={},d=0;d<this.numAttributes;d++){var m=a.getActiveAttrib(this.program,d);m&&(this.attributes[m.name]=a.getAttribLocation(this.program,m.name))}for(var g=a.getProgramParameter(this.program,a.ACTIVE_UNIFORMS),v=0;v<g;v++){var y=a.getActiveUniform(this.program,v);y&&(p[y.name]=a.getUniformLocation(this.program,y.name))}this.fixedUniforms=n(t,p),this.binderUniforms=r?r.getUniforms(t,p):[]}}};function wr(t,e,r){var n=1/pe(r,1,e.transform.tileZoom),i=Math.pow(2,r.tileID.overscaledZ),a=r.tileSize*Math.pow(2,e.transform.tileZoom)/i,o=a*(r.tileID.canonical.x+r.tileID.wrap*i),s=a*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}_r.prototype.draw=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m){var g,v=t.gl;if(!this.failedToCreate){for(var y in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[y].set(o[y]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(g={},g[v.LINES]=2,g[v.TRIANGLES]=3,g[v.LINE_STRIP]=1,g)[e],b=0,_=u.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new br)).bind(t,this,l,p?p.getPaintVertexBuffers():[],c,w.vertexOffset,d,m),v.drawElements(e,w.primitiveLength*x,v.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Tr=function(e,r,n,i){var a=r.style.light,o=a.properties.get(\"position\"),s=[o.x,o.y,o.z],l=t.create$1();\"viewport\"===a.properties.get(\"anchor\")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var c=a.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get(\"intensity\"),u_lightcolor:[c.r,c.g,c.b],u_vertical_gradient:+n,u_opacity:i}},kr=function(e,r,n,i,a,o,s){return t.extend(Tr(e,r,n,i),wr(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Ar=function(t){return{u_matrix:t}},Mr=function(e,r,n,i){return t.extend(Ar(e),wr(n,r,i))},Sr=function(t,e){return{u_matrix:t,u_world:e}},Er=function(e,r,n,i,a){return t.extend(Mr(e,r,n,i),{u_world:a})},Lr=function(e,r,n,i){var a,o,s=e.transform;if(\"map\"===i.paint.get(\"circle-pitch-alignment\")){var l=pe(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+(\"map\"===i.paint.get(\"circle-pitch-scale\")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get(\"circle-translate\"),i.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Cr=function(t,e,r){var n=pe(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},Pr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},Ir=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Or=function(t){return{u_matrix:t}},zr=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:pe(e,1,r),u_intensity:n}};function Dr(e,r){var n=Math.pow(2,r.canonical.z),i=r.canonical.y;return[new t.MercatorCoordinate(0,i/n).toLngLat().lat,new t.MercatorCoordinate(0,(i+1)/n).toLngLat().lat]}var Rr=function(e,r,n){var i=e.transform;return{u_matrix:Ur(e,r,n),u_ratio:1/pe(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},Fr=function(e,r,n){return t.extend(Rr(e,r,n),{u_image:0})},Br=function(e,r,n,i){var a=e.transform,o=jr(r,a);return{u_matrix:Ur(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/pe(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Nr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=jr(r,o),c=\"round\"===n.layout.get(\"line-cap\"),u=s.getDash(i.from,c),f=s.getDash(i.to,c),h=u.width*a.fromScale,p=f.width*a.toScale;return t.extend(Rr(e,r,n),{u_patternscale_a:[l/h,-u.height/2],u_patternscale_b:[l/p,-f.height/2],u_sdfgamma:s.width/(256*Math.min(h,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:u.y,u_tex_y_b:f.y,u_mix:a.t})};function jr(t,e){return 1/pe(t,1,e.tileZoom)}function Ur(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var Vr=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get(\"raster-brightness-min\"),u_brightness_high:i.paint.get(\"raster-brightness-max\"),u_saturation_factor:(o=i.paint.get(\"raster-saturation\"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get(\"raster-contrast\"),a>0?1/(1-a):1+a),u_spin_weights:Hr(i.paint.get(\"raster-hue-rotate\"))};var a,o};function Hr(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var qr,Gr=function(t,e,r,n,i,a,o,s,l,c){var u=i.transform;return{u_is_size_zoom_constant:+(\"constant\"===t||\"source\"===t),u_is_size_feature_constant:+(\"constant\"===t||\"camera\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:u.cameraToCenterDistance,u_pitch:u.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:u.width/u.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:c,u_texture:0}},Yr=function(e,r,n,i,a,o,s,l,c,u,f){var h=a.transform;return t.extend(Gr(e,r,n,i,a,o,s,l,c,u),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},Wr=function(e,r,n,i,a,o,s,l,c,u){return t.extend(Yr(e,r,n,i,a,o,s,l,!0,c,!0),{u_texsize_icon:u,u_texture_icon:1})},Xr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},Zr=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,c=Math.pow(2,n.tileID.overscaledZ),u=n.tileSize*Math.pow(2,r.transform.tileZoom)/c,f=u*(n.tileID.canonical.x+n.tileID.wrap*c),h=u*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/pe(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},Jr={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_maxzoom:new t.Uniform1f(e,r.u_maxzoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function Kr(e,r,n,i,a,o,s){for(var l=e.context,c=l.gl,u=e.useProgram(\"collisionBox\"),f=[],h=0,p=0,d=0;d<i.length;d++){var m=i[d],g=r.getTile(m),v=g.getBucket(n);if(v){var y=m.posMatrix;0===a[0]&&0===a[1]||(y=e.translatePosMatrix(m.posMatrix,g,a,o));var x=s?v.textCollisionBox:v.iconCollisionBox,b=v.collisionCircleArray;if(b.length>0){var _=t.create(),w=y;t.mul(_,v.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,v.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&u.draw(l,c.LINES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,Cr(y,e.transform,g),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram(\"collisionCircle\"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var A=0,M=0,S=f;M<S.length;M+=1)for(var E=S[M],L=0;L<E.circleArray.length/4;L++){var C=4*L,P=E.circleArray[C+0],I=E.circleArray[C+1],O=E.circleArray[C+2],z=E.circleArray[C+3];k.emplace(A++,P,I,O,z,0),k.emplace(A++,P,I,O,z,1),k.emplace(A++,P,I,O,z,2),k.emplace(A++,P,I,O,z,3)}(!qr||qr.length<2*h)&&(qr=function(e){var r=2*e,n=new t.StructArrayLayout3ui6;n.resize(r),n._trim();for(var i=0;i<r;i++){var a=6*i;n.uint16[a+0]=4*i+0,n.uint16[a+1]=4*i+1,n.uint16[a+2]=4*i+2,n.uint16[a+3]=4*i+2,n.uint16[a+4]=4*i+3,n.uint16[a+5]=4*i+0}return n}(h));for(var D=l.createIndexBuffer(qr,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=f;F<B.length;F+=1){var N=B[F],j=Pr(N.transform,N.invTransform,e.transform);T.draw(l,c.TRIANGLES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,j,n.id,R,D,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),D.destroy()}}var Qr=t.identity(new Float32Array(16));function $r(e,r,n,i,a,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,c=-(s.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,i);return new t.Point((l/a+u[0])*o,(c/a+u[1])*o)}function tn(e,r,n,i,a,o,s,l,c,u,f){var h=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,m={};p.clear();for(var g=0;g<h.length;g++){var v=h.get(g),y=e.allowVerticalPlacement&&!v.placedOrientation,x=v.hidden||!v.crossTileID||y?null:i[v.crossTileID];if(x){var b=new t.Point(v.anchorX,v.anchorY),_=te(b,n?l:s),w=ee(o.cameraToCenterDistance,_.signedDistanceFromCamera),T=a.evaluateSizeForFeature(e.textSizeData,u,v)*w/t.ONE_EM;n&&(T*=e.tilePixelRatio/c);for(var k=x.width,A=x.height,M=$r(x.anchor,k,A,x.textOffset,x.textBoxScale,T),S=n?te(b.add(M),s).point:_.point.add(r?M.rotate(-o.angle):M),E=e.allowVerticalPlacement&&v.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,L=0;L<v.numGlyphs;L++)t.addDynamicAttributes(p,S,E);f&&v.associatedIconIndex>=0&&(m[v.associatedIconIndex]={shiftedAnchor:S,angle:E})}else ue(v.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P<C.length;P++){var I=C.get(P);if(I.hidden)ue(I.numGlyphs,d);else{var O=m[P];if(O)for(var z=0;z<I.numGlyphs;z++)t.addDynamicAttributes(d,O.shiftedAnchor,O.angle);else ue(I.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function en(t,e,r){return r.iconsInText&&e?\"symbolTextAndIcon\":t?\"symbolSDF\":\"symbolIcon\"}function rn(e,r,n,i,a,o,s,l,c,u,f,h){for(var p=e.context,d=p.gl,m=e.transform,g=\"map\"===l,v=\"map\"===c,y=g&&\"point\"!==n.layout.get(\"symbol-placement\"),x=g&&!v&&!y,b=void 0!==n.layout.get(\"symbol-sort-key\").constantOr(1),_=e.depthModeForSublayer(0,At.ReadOnly),w=n.layout.get(\"text-variable-anchor\"),T=[],k=0,A=i;k<A.length;k+=1){var M=A[k],S=r.getTile(M),E=S.getBucket(n);if(E){var L=a?E.text:E.icon;if(L&&L.segments.get().length){var C=L.programConfigurations.get(n.id),P=a||E.sdfIcons,I=a?E.textSizeData:E.iconSizeData,O=v||0!==m.pitch,z=e.useProgram(en(P,a,E),C),D=t.evaluateSizeForZoom(I,m.zoom),R=void 0,F=[0,0],B=void 0,N=void 0,j=null,U=void 0;if(a){if(B=S.glyphAtlasTexture,N=d.LINEAR,R=S.glyphAtlasTexture.size,E.iconsInText){F=S.imageAtlasTexture.size,j=S.imageAtlasTexture;var V=\"composite\"===I.kind||\"camera\"===I.kind;U=O||e.options.rotating||e.options.zooming||V?d.LINEAR:d.NEAREST}}else{var H=1!==n.layout.get(\"icon-size\").constantOr(0)||E.iconsNeedLinear;B=S.imageAtlasTexture,N=P||e.options.rotating||e.options.zooming||H||O?d.LINEAR:d.NEAREST,R=S.imageAtlasTexture.size}var q=pe(S,1,e.transform.zoom),G=Qt(M.posMatrix,v,g,e.transform,q),Y=$t(M.posMatrix,v,g,e.transform,q),W=w&&E.hasTextData(),X=\"none\"!==n.layout.get(\"icon-text-fit\")&&W&&E.hasIconData();y&&ne(E,M.posMatrix,e,a,G,Y,v,u);var Z=e.translatePosMatrix(M.posMatrix,S,o,s),J=y||a&&w||X?Qr:G,K=e.translatePosMatrix(Y,S,o,s,!0),Q=P&&0!==n.paint.get(a?\"text-halo-width\":\"icon-halo-width\").constantOr(1),$={program:z,buffers:L,uniformValues:P?E.iconsInText?Wr(I.kind,D,x,v,e,Z,J,K,R,F):Yr(I.kind,D,x,v,e,Z,J,K,a,R,!0):Gr(I.kind,D,x,v,e,Z,J,K,a,R),atlasTexture:B,atlasTextureIcon:j,atlasInterpolation:N,atlasInterpolationIcon:U,isSDF:P,hasHalo:Q};if(b)for(var tt=0,et=L.segments.get();tt<et.length;tt+=1){var rt=et[tt];T.push({segments:new t.SegmentVector([rt]),sortKey:rt.sortKey,state:$})}else T.push({segments:L.segments,sortKey:0,state:$})}}}b&&T.sort((function(t,e){return t.sortKey-e.sortKey}));for(var nt=0,it=T;nt<it.length;nt+=1){var at=it[nt],ot=at.state;if(p.activeTexture.set(d.TEXTURE0),ot.atlasTexture.bind(ot.atlasInterpolation,d.CLAMP_TO_EDGE),ot.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),ot.atlasTextureIcon&&ot.atlasTextureIcon.bind(ot.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),ot.isSDF){var st=ot.uniformValues;ot.hasHalo&&(st.u_is_halo=1,nn(ot.buffers,at.segments,n,e,ot.program,_,f,h,st)),st.u_is_halo=0}nn(ot.buffers,at.segments,n,e,ot.program,_,f,h,ot.uniformValues)}}function nn(t,e,r,n,i,a,o,s,l){var c=n.context,u=c.gl;i.draw(c,u.TRIANGLES,a,o,s,Et.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function an(t,e,r,n,i,a,o){var s,l,c,u,f,h=t.context.gl,p=r.paint.get(\"fill-pattern\"),d=p&&p.constantOr(1),m=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",s=h.LINES):(l=d?\"fillPattern\":\"fill\",s=h.TRIANGLES);for(var g=0,v=n;g<v.length;g+=1){var y=v[g],x=e.getTile(y);if(!d||x.patternsLoaded()){var b=x.getBucket(r);if(b){var _=b.programConfigurations.get(r.id),w=t.useProgram(l,_);d&&(t.context.activeTexture.set(h.TEXTURE0),x.imageAtlasTexture.bind(h.LINEAR,h.CLAMP_TO_EDGE),_.updatePaintBuffers(m));var T=p.constantOr(null);if(T&&x.imageAtlas){var k=x.imageAtlas,A=k.patternPositions[T.to.toString()],M=k.patternPositions[T.from.toString()];A&&M&&_.setConstantPatternPositions(A,M)}var S=t.translatePosMatrix(y.posMatrix,x,r.paint.get(\"fill-translate\"),r.paint.get(\"fill-translate-anchor\"));if(o){u=b.indexBuffer2,f=b.segments2;var E=[h.drawingBufferWidth,h.drawingBufferHeight];c=\"fillOutlinePattern\"===l&&d?Er(S,t,m,x,E):Sr(S,E)}else u=b.indexBuffer,f=b.segments,c=d?Mr(S,t,m,x):Ar(S);w.draw(t.context,s,i,t.stencilModeForClipping(y),a,Et.disabled,c,r.id,b.layoutVertexBuffer,u,f,r.paint,t.transform.zoom,_)}}}}function on(t,e,r,n,i,a,o){for(var s=t.context,l=s.gl,c=r.paint.get(\"fill-extrusion-pattern\"),u=c.constantOr(1),f=r.getCrossfadeParameters(),h=r.paint.get(\"fill-extrusion-opacity\"),p=0,d=n;p<d.length;p+=1){var m=d[p],g=e.getTile(m),v=g.getBucket(r);if(v){var y=v.programConfigurations.get(r.id),x=t.useProgram(u?\"fillExtrusionPattern\":\"fillExtrusion\",y);u&&(t.context.activeTexture.set(l.TEXTURE0),g.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),y.updatePaintBuffers(f));var b=c.constantOr(null);if(b&&g.imageAtlas){var _=g.imageAtlas,w=_.patternPositions[b.to.toString()],T=_.patternPositions[b.from.toString()];w&&T&&y.setConstantPatternPositions(w,T)}var k=t.translatePosMatrix(m.posMatrix,g,r.paint.get(\"fill-extrusion-translate\"),r.paint.get(\"fill-extrusion-translate-anchor\")),A=r.paint.get(\"fill-extrusion-vertical-gradient\"),M=u?kr(k,t,A,h,m,f,g):Tr(k,t,A,h);x.draw(s,s.gl.TRIANGLES,i,a,o,Et.backCCW,M,r.id,v.layoutVertexBuffer,v.indexBuffer,v.segments,r.paint,t.transform.zoom,y)}}}function sn(t,e,r,n,i,a){var o=t.context,s=o.gl,l=e.fbo;if(l){var c=t.useProgram(\"hillshade\");o.activeTexture.set(s.TEXTURE0),s.bindTexture(s.TEXTURE_2D,l.colorAttachment.get());var u=function(t,e,r){var n=r.paint.get(\"hillshade-shadow-color\"),i=r.paint.get(\"hillshade-highlight-color\"),a=r.paint.get(\"hillshade-accent-color\"),o=r.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);\"viewport\"===r.paint.get(\"hillshade-illumination-anchor\")&&(o-=t.transform.angle);var s=!t.options.moving;return{u_matrix:t.transform.calculatePosMatrix(e.tileID.toUnwrapped(),s),u_image:0,u_latrange:Dr(t,e.tileID),u_light:[r.paint.get(\"hillshade-exaggeration\"),o],u_shadow:n,u_highlight:i,u_accent:a}}(t,e,r);c.draw(o,s.TRIANGLES,n,i,a,Et.disabled,u,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}function ln(e,r,n,i,a,o,s){var l=e.context,c=l.gl,u=r.dem;if(u&&u.data){var f=u.dim,h=u.stride,p=u.getPixels();if(l.activeTexture.set(c.TEXTURE1),l.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(h),r.demTexture){var d=r.demTexture;d.update(p,{premultiply:!1}),d.bind(c.NEAREST,c.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(l,p,c.RGBA,{premultiply:!1}),r.demTexture.bind(c.NEAREST,c.CLAMP_TO_EDGE);l.activeTexture.set(c.TEXTURE0);var m=r.fbo;if(!m){var g=new t.Texture(l,{width:f,height:f,data:null},c.RGBA);g.bind(c.LINEAR,c.CLAMP_TO_EDGE),(m=r.fbo=l.createFramebuffer(f,f,!0)).colorAttachment.set(g.texture)}l.bindFramebuffer.set(m.framebuffer),l.viewport.set([0,0,f,f]),e.useProgram(\"hillshadePrepare\").draw(l,c.TRIANGLES,a,o,s,Et.disabled,function(e,r,n){var i=r.stride,a=t.create();return t.ortho(a,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(a,a,[0,-t.EXTENT,0]),{u_matrix:a,u_image:1,u_dimension:[i,i],u_zoom:e.overscaledZ,u_maxzoom:n,u_unpack:r.getUnpackVector()}}(r.tileID,u,i),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function cn(e,r,n,i,a){var o=i.paint.get(\"raster-fade-duration\");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,c=r?(s-r.timeAdded)/o:-1,u=n.getSource(),f=a.coveringZoomLevel({tileSize:u.tileSize,roundZoom:u.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-c,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var un=new t.Color(1,0,0,1),fn=new t.Color(0,1,0,1),hn=new t.Color(0,0,1,1),pn=new t.Color(1,0,1,1),dn=new t.Color(0,1,1,1);function mn(t){var e=t.transform.padding;gn(t,t.transform.height-(e.top||0),3,un),gn(t,e.bottom||0,3,fn),vn(t,e.left||0,3,hn),vn(t,t.transform.width-(e.right||0),3,pn);var r=t.transform.centerPoint;!function(t,e,r,n){yn(t,e-1,r-10,2,20,n),yn(t,e-10,r-1,20,2,n)}(t,r.x,t.transform.height-r.y,dn)}function gn(t,e,r,n){yn(t,0,e+r/2,t.transform.width,r,n)}function vn(t,e,r,n){yn(t,e-r/2,0,r,t.transform.height,n)}function yn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function xn(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram(\"debug\"),l=At.disabled,c=Mt.disabled,u=e.colorModeForRenderPass();i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,c,u,Et.disabled,Ir(o,t.Color.red),\"$debug\",e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var f=r.getTileByID(n.key).latestRawTileData,h=f&&f.byteLength||0,p=Math.floor(h/1024),d=r.getTile(n).tileSize,m=512/Math.min(d,512)*(n.overscaledZ/e.transform.zoom)*.5,g=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(g+=\" => \"+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext(\"2d\");i.clearRect(0,0,r.width,r.height),i.shadowColor=\"white\",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle=\"white\",i.textBaseline=\"top\",i.font=\"bold 36px Open Sans, sans-serif\",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,g+\" \"+p+\"kb\"),s.draw(i,a.TRIANGLES,l,c,St.alphaBlended,Et.disabled,Ir(o,t.Color.transparent,m),\"$debug\",e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var bn={symbol:function(e,r,n,i,a){if(\"translucent\"===e.renderPass){var o=Mt.disabled,s=e.colorModeForRenderPass();n.layout.get(\"text-variable-anchor\")&&function(e,r,n,i,a,o,s){for(var l=r.transform,c=\"map\"===a,u=\"map\"===o,f=0,h=e;f<h.length;f+=1){var p=h[f],d=i.getTile(p),m=d.getBucket(n);if(m&&m.text&&m.text.segments.get().length){var g=m.textSizeData,v=t.evaluateSizeForZoom(g,l.zoom),y=pe(d,1,r.transform.zoom),x=Qt(p.posMatrix,u,c,r.transform,y),b=\"none\"!==n.layout.get(\"icon-text-fit\")&&m.hasIconData();if(v){var _=Math.pow(2,l.zoom-d.tileID.overscaledZ);tn(m,c,u,s,t.symbolSize,l,x,p.posMatrix,_,v,b)}}}}(i,e,n,r,n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),a),0!==n.paint.get(\"icon-opacity\").constantOr(1)&&rn(e,r,n,i,!1,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),n.layout.get(\"icon-rotation-alignment\"),n.layout.get(\"icon-pitch-alignment\"),n.layout.get(\"icon-keep-upright\"),o,s),0!==n.paint.get(\"text-opacity\").constantOr(1)&&rn(e,r,n,i,!0,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),n.layout.get(\"text-keep-upright\"),o,s),r.map.showCollisionBoxes&&(Kr(e,r,n,i,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),!0),Kr(e,r,n,i,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),!1))}},circle:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"circle-opacity\"),o=n.paint.get(\"circle-stroke-width\"),s=n.paint.get(\"circle-stroke-opacity\"),l=void 0!==n.layout.get(\"circle-sort-key\").constantOr(1);if(0!==a.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var c=e.context,u=c.gl,f=e.depthModeForSublayer(0,At.ReadOnly),h=Mt.disabled,p=e.colorModeForRenderPass(),d=[],m=0;m<i.length;m++){var g=i[m],v=r.getTile(g),y=v.getBucket(n);if(y){var x=y.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram(\"circle\",x),layoutVertexBuffer:y.layoutVertexBuffer,indexBuffer:y.indexBuffer,uniformValues:Lr(e,g,v,n)};if(l)for(var _=0,w=y.segments.get();_<w.length;_+=1){var T=w[_];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:b})}else d.push({segments:y.segments,sortKey:0,state:b})}}l&&d.sort((function(t,e){return t.sortKey-e.sortKey}));for(var k=0,A=d;k<A.length;k+=1){var M=A[k],S=M.state,E=S.programConfiguration,L=S.program,C=S.layoutVertexBuffer,P=S.indexBuffer,I=S.uniformValues,O=M.segments;L.draw(c,u.TRIANGLES,f,h,p,Et.disabled,I,n.id,C,P,O,n.paint,e.transform.zoom,E)}}}},heatmap:function(e,r,n,i){if(0!==n.paint.get(\"heatmap-opacity\"))if(\"offscreen\"===e.renderPass){var a=e.context,o=a.gl,s=Mt.disabled,l=new St([o.ONE,o.ONE],t.Color.transparent,[!0,!0,!0,!0]);!function(t,e,r){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var i=r.heatmapFbo;if(i)n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),t.bindFramebuffer.set(i.framebuffer);else{var a=n.createTexture();n.bindTexture(n.TEXTURE_2D,a),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),i=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1),function(t,e,r,n){var i=t.gl,a=t.extRenderToTextureHalfFloat?t.extTextureHalfFloat.HALF_FLOAT_OES:i.UNSIGNED_BYTE;i.texImage2D(i.TEXTURE_2D,0,i.RGBA,e.width/4,e.height/4,0,i.RGBA,a,null),n.colorAttachment.set(r)}(t,e,a,i)}}(a,e,n),a.clear({color:t.Color.transparent});for(var c=0;c<i.length;c++){var u=i[c];if(!r.hasRenderableParent(u)){var f=r.getTile(u),h=f.getBucket(n);if(h){var p=h.programConfigurations.get(n.id),d=e.useProgram(\"heatmap\",p),m=e.transform.zoom;d.draw(a,o.TRIANGLES,At.disabled,s,l,Et.disabled,zr(u.posMatrix,f,m,n.paint.get(\"heatmap-intensity\")),n.id,h.layoutVertexBuffer,h.indexBuffer,h.segments,n.paint,e.transform.zoom,p)}}}a.viewport.set([0,0,e.width,e.height])}else\"translucent\"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,i=n.gl,a=r.heatmapFbo;if(!a)return;n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,a.colorAttachment.get()),n.activeTexture.set(i.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,i.RGBA));o.bind(i.LINEAR,i.CLAMP_TO_EDGE),e.useProgram(\"heatmapTexture\").draw(n,i.TRIANGLES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,function(e,r,n,i){var a=t.create();t.ortho(a,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:i,u_opacity:r.paint.get(\"heatmap-opacity\")}}(e,r,0,1),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}(e,n))},line:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"line-opacity\"),o=n.paint.get(\"line-width\");if(0!==a.constantOr(1)&&0!==o.constantOr(1)){var s=e.depthModeForSublayer(0,At.ReadOnly),l=e.colorModeForRenderPass(),c=n.paint.get(\"line-dasharray\"),u=n.paint.get(\"line-pattern\"),f=u.constantOr(1),h=n.paint.get(\"line-gradient\"),p=n.getCrossfadeParameters(),d=f?\"linePattern\":c?\"lineSDF\":h?\"lineGradient\":\"line\",m=e.context,g=m.gl,v=!0;if(h){m.activeTexture.set(g.TEXTURE0);var y=n.gradientTexture;if(!n.gradient)return;y||(y=n.gradientTexture=new t.Texture(m,n.gradient,g.RGBA)),y.bind(g.LINEAR,g.CLAMP_TO_EDGE)}for(var x=0,b=i;x<b.length;x+=1){var _=b[x],w=r.getTile(_);if(!f||w.patternsLoaded()){var T=w.getBucket(n);if(T){var k=T.programConfigurations.get(n.id),A=e.context.program.get(),M=e.useProgram(d,k),S=v||M.program!==A,E=u.constantOr(null);if(E&&w.imageAtlas){var L=w.imageAtlas,C=L.patternPositions[E.to.toString()],P=L.patternPositions[E.from.toString()];C&&P&&k.setConstantPatternPositions(C,P)}var I=f?Br(e,w,n,p):c?Nr(e,w,n,c,p):h?Fr(e,w,n):Rr(e,w,n);f?(m.activeTexture.set(g.TEXTURE0),w.imageAtlasTexture.bind(g.LINEAR,g.CLAMP_TO_EDGE),k.updatePaintBuffers(p)):c&&(S||e.lineAtlas.dirty)&&(m.activeTexture.set(g.TEXTURE0),e.lineAtlas.bind(m)),M.draw(m,g.TRIANGLES,s,e.stencilModeForClipping(_),l,Et.disabled,I,n.id,T.layoutVertexBuffer,T.indexBuffer,T.segments,n.paint,e.transform.zoom,k),v=!1}}}}}},fill:function(e,r,n,i){var a=n.paint.get(\"fill-color\"),o=n.paint.get(\"fill-opacity\");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get(\"fill-pattern\"),c=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?\"opaque\":\"translucent\";if(e.renderPass===c){var u=e.depthModeForSublayer(1,\"opaque\"===e.renderPass?At.ReadWrite:At.ReadOnly);an(e,r,n,i,u,s,!1)}if(\"translucent\"===e.renderPass&&n.paint.get(\"fill-antialias\")){var f=e.depthModeForSublayer(n.getPaintProperty(\"fill-outline-color\")?2:0,At.ReadOnly);an(e,r,n,i,f,s,!0)}}},\"fill-extrusion\":function(t,e,r,n){var i=r.paint.get(\"fill-extrusion-opacity\");if(0!==i&&\"translucent\"===t.renderPass){var a=new At(t.context.gl.LEQUAL,At.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get(\"fill-extrusion-pattern\").constantOr(1))on(t,e,r,n,a,Mt.disabled,St.disabled),on(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();on(t,e,r,n,a,Mt.disabled,o)}}},hillshade:function(t,e,r,n){if(\"offscreen\"===t.renderPass||\"translucent\"===t.renderPass){for(var i=t.context,a=e.getSource().maxzoom,o=t.depthModeForSublayer(0,At.ReadOnly),s=t.colorModeForRenderPass(),l=\"translucent\"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],c=l[0],u=0,f=l[1];u<f.length;u+=1){var h=f[u],p=e.getTile(h);p.needsHillshadePrepare&&\"offscreen\"===t.renderPass?ln(t,p,r,a,o,Mt.disabled,s):\"translucent\"===t.renderPass&&sn(t,p,r,o,c[h.overscaledZ],s)}i.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if(\"translucent\"===t.renderPass&&0!==r.paint.get(\"raster-opacity\")&&n.length)for(var i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram(\"raster\"),l=t.colorModeForRenderPass(),c=o instanceof I?[{},n]:t.stencilConfigForOverlap(n),u=c[0],f=c[1],h=f[f.length-1].overscaledZ,p=!t.options.moving,d=0,m=f;d<m.length;d+=1){var g=m[d],v=t.depthModeForSublayer(g.overscaledZ-h,1===r.paint.get(\"raster-opacity\")?At.ReadWrite:At.ReadOnly,a.LESS),y=e.getTile(g),x=t.transform.calculatePosMatrix(g.toUnwrapped(),p);y.registerFadeDuration(r.paint.get(\"raster-fade-duration\"));var b=e.findLoadedParent(g,0),_=cn(y,b,e,r,t.transform),w=void 0,T=void 0,k=\"nearest\"===r.paint.get(\"raster-resampling\")?a.NEAREST:a.LINEAR;i.activeTexture.set(a.TEXTURE0),y.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),i.activeTexture.set(a.TEXTURE1),b?(b.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),w=Math.pow(2,b.tileID.overscaledZ-y.tileID.overscaledZ),T=[y.tileID.canonical.x*w%1,y.tileID.canonical.y*w%1]):y.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST);var A=Vr(x,T||[0,0],w||1,_,r);o instanceof I?s.draw(i,a.TRIANGLES,v,Mt.disabled,l,Et.disabled,A,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,v,u[g.overscaledZ],l,Et.disabled,A,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get(\"background-color\"),i=r.paint.get(\"background-opacity\");if(0!==i){var a=t.context,o=a.gl,s=t.transform,l=s.tileSize,c=r.paint.get(\"background-pattern\");if(!t.isPatternMissing(c)){var u=!c&&1===n.a&&1===i&&t.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(t.renderPass===u){var f=Mt.disabled,h=t.depthModeForSublayer(0,\"opaque\"===u?At.ReadWrite:At.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(c?\"backgroundPattern\":\"background\"),m=s.coveringTiles({tileSize:l});c&&(a.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var g=r.getCrossfadeParameters(),v=0,y=m;v<y.length;v+=1){var x=y[v],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=c?Zr(b,i,t,c,{tileID:x,tileSize:l},g):Xr(b,i,n);d.draw(a,o.TRIANGLES,h,f,p,Et.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)xn(t,e,r[n])},custom:function(t,e,r){var n=t.context,i=r.implementation;if(\"offscreen\"===t.renderPass){var a=i.prerender;a&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),a.call(i,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if(\"translucent\"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(Mt.disabled);var o=\"3d\"===i.renderingMode?new At(t.context.gl.LEQUAL,At.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,At.ReadOnly);n.setDepthMode(o),i.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},_n=function(t,e){this.context=new Lt(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Ct.maxUnderzooming+Ct.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Ne,this.gpuTimers={}};_n.prototype.resize=function(e,r){if(this.width=e*t.browser.devicePixelRatio,this.height=r*t.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var n=0,i=this.style._order;n<i.length;n+=1){var a=i[n];this.style._layers[a].resize()}},_n.prototype.setup=function(){var e=this.context,r=new t.StructArrayLayout2i4;r.emplaceBack(0,0),r.emplaceBack(t.EXTENT,0),r.emplaceBack(0,t.EXTENT),r.emplaceBack(t.EXTENT,t.EXTENT),this.tileExtentBuffer=e.createVertexBuffer(r,Ge.members),this.tileExtentSegments=t.SegmentVector.simpleSegment(0,0,4,2);var n=new t.StructArrayLayout2i4;n.emplaceBack(0,0),n.emplaceBack(t.EXTENT,0),n.emplaceBack(0,t.EXTENT),n.emplaceBack(t.EXTENT,t.EXTENT),this.debugBuffer=e.createVertexBuffer(n,Ge.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var i=new t.StructArrayLayout4i8;i.emplaceBack(0,0,0,0),i.emplaceBack(t.EXTENT,0,t.EXTENT,0),i.emplaceBack(0,t.EXTENT,0,t.EXTENT),i.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(i,P.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var a=new t.StructArrayLayout2i4;a.emplaceBack(0,0),a.emplaceBack(1,0),a.emplaceBack(0,1),a.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(a,Ge.members),this.viewportSegments=t.SegmentVector.simpleSegment(0,0,4,2);var o=new t.StructArrayLayout1ui2;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=e.createIndexBuffer(o);var s=new t.StructArrayLayout3ui6;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=e.createIndexBuffer(s),this.emptyTexture=new t.Texture(e,{width:1,height:1,data:new Uint8Array([0,0,0,0])},e.gl.RGBA);var l=this.context.gl;this.stencilClearMode=new Mt({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},_n.prototype.clearStencil=function(){var e=this.context,r=e.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var n=t.create();t.ortho(n,0,this.width,this.height,0,0,1),t.scale(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(e,r.TRIANGLES,At.disabled,this.stencilClearMode,St.disabled,Et.disabled,Or(n),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},_n.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(St.disabled),r.setDepthMode(At.disabled);var i=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var a=0,o=e;a<o.length;a+=1){var s=o[a],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;i.draw(r,n.TRIANGLES,At.disabled,new Mt({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),St.disabled,Et.disabled,Or(s.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},_n.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Mt({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},_n.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Mt({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},_n.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s<a;s++)o[s+i]=new Mt({func:r.GEQUAL,mask:255},s+this.nextStencilID,255,r.KEEP,r.KEEP,r.REPLACE);return this.nextStencilID+=a,[o,n]}return[(e={},e[i]=Mt.disabled,e),n]},_n.prototype.colorModeForRenderPass=function(){var e=this.context.gl;if(this._showOverdrawInspector){return new St([e.CONSTANT_COLOR,e.ONE],new t.Color(1/8,1/8,1/8,0),[!0,!0,!0,!0])}return\"opaque\"===this.renderPass?St.unblended:St.alphaBlended},_n.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return At.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new At(r||this.context.gl.LEQUAL,e,[n,n])},_n.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},_n.prototype.render=function(e,r){var n=this;this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var i=this.style._order,a=this.style.sourceCaches;for(var o in a){var s=a[o];s.used&&s.prepare(this.context)}var l,c,u={},f={},h={};for(var p in a){var d=a[p];u[p]=d.getVisibleCoordinates(),f[p]=u[p].slice().reverse(),h[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var m=0;m<i.length;m++){var g=i[m];if(this.style._layers[g].is3D()){this.opaquePassCutoff=m;break}}this.renderPass=\"offscreen\";for(var v=0,y=i;v<y.length;v+=1){var x=y[v],b=this.style._layers[x];if(b.hasOffscreenPass()&&!b.isHidden(this.transform.zoom)){var _=f[b.source];(\"custom\"===b.type||_.length)&&this.renderLayer(this,a[b.source],b,_)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?t.Color.black:t.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(e._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass=\"opaque\",this.currentLayer=i.length-1;this.currentLayer>=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=u[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<i.length;this.currentLayer++){var A=this.style._layers[i[this.currentLayer]],M=a[A.source],S=(\"symbol\"===A.type?h:f)[A.source];this._renderTileClippingMasks(A,u[A.source]),this.renderLayer(this,M,A,S)}this.options.showTileBoundaries&&(t.values(this.style._layers).forEach((function(t){t.source&&!t.isHidden(n.transform.zoom)&&(t.source!==(c&&c.id)&&(c=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<c.getSource().maxzoom)&&(l=c))})),l&&bn.debug(this,l,l.getVisibleCoordinates()));this.options.showPadding&&mn(this),this.context.setDefault()},_n.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||(\"background\"===r.type||\"custom\"===r.type||n.length)&&(this.id=r.id,this.gpuTimingStart(r),bn[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},_n.prototype.gpuTimingStart=function(t){if(this.options.gpuTiming){var e=this.context.extTimerQuery,r=this.gpuTimers[t.id];r||(r=this.gpuTimers[t.id]={calls:0,cpuTime:0,query:e.createQueryEXT()}),r.calls++,e.beginQueryEXT(e.TIME_ELAPSED_EXT,r.query)}},_n.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},_n.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},_n.prototype.queryGpuTimers=function(t){var e={};for(var r in t){var n=t[r],i=this.context.extTimerQuery,a=i.getQueryObjectEXT(n.query,i.QUERY_RESULT_EXT)/1e6;i.deleteQueryEXT(n.query),e[r]=a}return e},_n.prototype.translatePosMatrix=function(e,r,n,i,a){if(!n[0]&&!n[1])return e;var o=a?\"map\"===i?this.transform.angle:0:\"viewport\"===i?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var c=[a?n[0]:pe(r,n[0],this.transform.zoom),a?n[1]:pe(r,n[1],this.transform.zoom),0],u=new Float32Array(16);return t.translate(u,e,c),u},_n.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},_n.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},_n.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},_n.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=\"\"+t+(e?e.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\");return this.cache[r]||(this.cache[r]=new _r(this.context,xr[t],e,Jr[t],this._showOverdrawInspector)),this.cache[r]},_n.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},_n.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},_n.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},_n.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var wn=function(t,e){this.points=t,this.planes=e};wn.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new wn(a,o)};var Tn=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};Tn.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a<r.length;a++)n[a]=r[a]?this.min[a]:this.center[a],i[a]=r[a]?this.center[a]:this.max[a];return i[2]=this.max[2],new Tn(n,i)},Tn.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},Tn.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},Tn.prototype.intersects=function(e){for(var r=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],n=!0,i=0;i<e.planes.length;i++){for(var a=e.planes[i],o=0,s=0;s<r.length;s++)o+=t.dot$1(a,r[s])>=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var c=Number.MAX_VALUE,u=-Number.MAX_VALUE,f=0;f<e.points.length;f++){var h=e.points[f][l]-this.min[l];c=Math.min(c,h),u=Math.max(u,h)}if(u<0||c>this.max[l]-this.min[l])return 0}return 1};var kn=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error(\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\");this.top=t,this.bottom=e,this.left=r,this.right=n};kn.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},kn.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),i=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,i)},kn.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},kn.prototype.clone=function(){return new kn(this.top,this.bottom,this.left,this.right)},kn.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var An=function(e,r,n,i,a){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===a||a,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new kn,this._posMatrixCache={},this._alignedPosMatrixCache={}},Mn={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};An.prototype.clone=function(){var t=new An(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},Mn.minZoom.get=function(){return this._minZoom},Mn.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},Mn.maxZoom.get=function(){return this._maxZoom},Mn.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},Mn.minPitch.get=function(){return this._minPitch},Mn.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},Mn.maxPitch.get=function(){return this._maxPitch},Mn.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},Mn.renderWorldCopies.get=function(){return this._renderWorldCopies},Mn.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},Mn.worldSize.get=function(){return this.tileSize*this.scale},Mn.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},Mn.size.get=function(){return new t.Point(this.width,this.height)},Mn.bearing.get=function(){return-this.angle/Math.PI*180},Mn.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},Mn.pitch.get=function(){return this._pitch/Math.PI*180},Mn.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},Mn.fov.get=function(){return this._fov/Math.PI*180},Mn.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},Mn.zoom.get=function(){return this._zoom},Mn.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},Mn.center.get=function(){return this._center},Mn.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},Mn.padding.get=function(){return this._edgeInsets.toJSON()},Mn.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},Mn.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},An.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},An.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},An.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},An.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),c=s-1;c<=l+1;c++)0!==c&&r.push(new t.UnwrappedTileID(c,e));return r},An.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&r<e.minzoom)return[];void 0!==e.maxzoom&&r>e.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=wn.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var c=function(t){return{aabb:new Tn([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},u=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)u.push(c(-d)),u.push(c(d));for(u.push(c(0));u.length>0;){var m=u.pop(),g=m.x,v=m.y,y=m.fullyVisible;if(!y){var x=m.aabb.intersects(s);if(0===x)continue;y=2===x}var b=m.aabb.distanceX(o),_=m.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<<h-m.zoom)-2;if(m.zoom===h||w>T&&m.zoom>=l)f.push({tileID:new t.OverscaledTileID(m.zoom===h?p:m.zoom,m.wrap,m.zoom,g,v),distanceSq:t.sqrLen([o[0]-.5-g,o[1]-.5-v])});else for(var k=0;k<4;k++){var A=(g<<1)+k%2,M=(v<<1)+(k>>1);u.push({aabb:m.aabb.quadrant(k),zoom:m.zoom+1,x:A,y:M,wrap:m.wrap,fullyVisible:y})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},An.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},Mn.unmodified.get=function(){return this._unmodified},An.prototype.zoomScale=function(t){return Math.pow(2,t)},An.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},An.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},An.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},Mn.point.get=function(){return this.project(this.center)},An.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(e),o=new t.MercatorCoordinate(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},An.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},An.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},An.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},An.prototype.coordinateLocation=function(t){return t.toLngLat()},An.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,c=n[1]/a,u=r[2]/i,f=n[2]/a,h=u===f?0:(0-u)/(f-u);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,c,h)/this.worldSize)},An.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},An.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},An.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},An.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},An.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];var a=e.canonical,o=this.worldSize/this.zoomScale(a.z),s=a.x+Math.pow(2,a.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,a.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),i[n]=new Float32Array(l),i[n]},An.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},An.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,c=this.size,u=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-a<c.y?c.y/(o-a):0}if(this.lngRange){var h=this.lngRange;s=t.mercatorXfromLng(h[0])*this.worldSize,r=(l=t.mercatorXfromLng(h[1])*this.worldSize)-s<c.x?c.x/(l-s):0}var p=this.point,d=Math.max(r||0,e||0);if(d)return this.center=this.unproject(new t.Point(r?(l+s)/2:p.x,e?(o+a)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=u,void(this._constraining=!1);if(this.latRange){var m=p.y,g=c.y/2;m-g<a&&(i=a+g),m+g>o&&(i=o-g)}if(this.lngRange){var v=p.x,y=c.x/2;v-y<s&&(n=s+y),v+y>l&&(n=l-y)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=u,this._constraining=!1}},An.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,c=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),u=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,u,c),f[8]=2*-r.x/this.width,f[9]=2*r.y/this.height,t.scale(f,f,[1,-1,1]),t.translate(f,f,[0,0,-this.cameraToCenterDistance]),t.rotateX(f,f,this._pitch),t.rotateZ(f,f,this.angle),t.translate(f,f,[-s,-l,0]),this.mercatorMatrix=t.scale([],f,[this.worldSize,this.worldSize,this.worldSize]),t.scale(f,f,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=f,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),m=Math.sin(this.angle),g=s-Math.round(s)+d*h+m*p,v=l-Math.round(l)+d*p+m*h,y=new Float64Array(f);if(t.translate(y,y,[g>.5?g-1:g,v>.5?v-1:v,0]),this.alignedProjMatrix=y,f=t.create(),t.scale(f,f,[this.width/2,-this.height/2,1]),t.translate(f,f,[1,-1,0]),this.labelPlaneMatrix=f,f=t.create(),t.scale(f,f,[1,-1,1]),t.translate(f,f,[-1,-1,0]),t.scale(f,f,[2/this.width,2/this.height,1]),this.glCoordMatrix=f,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(f=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=f,this._posMatrixCache={},this._alignedPosMatrixCache={}}},An.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},An.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},An.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var c=l[s];n=Math.min(n,c.x),i=Math.min(i,c.y),a=Math.max(a,c.x),o=Math.max(o,c.y)}return[new t.Point(n,i),new t.Point(a,i),new t.Point(a,o),new t.Point(n,o),new t.Point(n,i)]},Object.defineProperties(An.prototype,Mn);var Sn=function(e){var r,n,i,a,o;this._hashName=e&&encodeURIComponent(e),t.bindAll([\"_getCurrentHash\",\"_onHashChange\",\"_updateHash\"],this),this._updateHash=(r=this._updateHashUnthrottled.bind(this),n=300,i=!1,a=null,o=function(){a=null,i&&(r(),a=setTimeout(o,n),i=!1)},function(){return i=!0,a||o(),a})};Sn.prototype.addTo=function(e){return this._map=e,t.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},Sn.prototype.remove=function(){return t.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},Sn.prototype.getHashString=function(e){var r=this._map.getCenter(),n=Math.round(100*this._map.getZoom())/100,i=Math.ceil((n*Math.LN2+Math.log(512/360/.5))/Math.LN10),a=Math.pow(10,i),o=Math.round(r.lng*a)/a,s=Math.round(r.lat*a)/a,l=this._map.getBearing(),c=this._map.getPitch(),u=\"\";if(u+=e?\"/\"+o+\"/\"+s+\"/\"+n:n+\"/\"+s+\"/\"+o,(l||c)&&(u+=\"/\"+Math.round(10*l)/10),c&&(u+=\"/\"+Math.round(c)),this._hashName){var f=this._hashName,h=!1,p=t.window.location.hash.slice(1).split(\"&\").map((function(t){var e=t.split(\"=\")[0];return e===f?(h=!0,e+\"=\"+u):t})).filter((function(t){return t}));return h||p.push(f+\"=\"+u),\"#\"+p.join(\"&\")}return\"#\"+u},Sn.prototype._getCurrentHash=function(){var e,r=this,n=t.window.location.hash.replace(\"#\",\"\");return this._hashName?(n.split(\"&\").map((function(t){return t.split(\"=\")})).forEach((function(t){t[0]===r._hashName&&(e=t)})),(e&&e[1]||\"\").split(\"/\")):n.split(\"/\")},Sn.prototype._onHashChange=function(){var t=this._getCurrentHash();if(t.length>=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},Sn.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,\"\",e)}catch(t){}};var En={linearity:.3,easing:t.bezier(0,0,.3,1)},Ln=t.extend({deceleration:2500,maxSpeed:1400},En),Cn=t.extend({deceleration:20,maxSpeed:1400},En),Pn=t.extend({deceleration:1e3,maxSpeed:360},En),In=t.extend({deceleration:1e3,maxSpeed:90},En),On=function(t){this._map=t,this.clear()};function zn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function Dn(e,r,n){var i=n.maxSpeed,a=n.linearity,o=n.deceleration,s=t.clamp(e*a/(r/1e3),-i,i),l=Math.abs(s)/(o*a);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}On.prototype.clear=function(){this._inertiaBuffer=[]},On.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},On.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},On.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n<i.length;n+=1){var a=i[n].settings;r.zoom+=a.zoomDelta||0,r.bearing+=a.bearingDelta||0,r.pitch+=a.pitchDelta||0,a.panDelta&&r.pan._add(a.panDelta),a.around&&(r.around=a.around),a.pinchAround&&(r.pinchAround=a.pinchAround)}var o=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,s={};if(r.pan.mag()){var l=Dn(r.pan.mag(),o,t.extend({},Ln,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,zn(s,l)}if(r.zoom){var c=Dn(r.zoom,o,Cn);s.zoom=this._map.transform.zoom+c.amount,zn(s,c)}if(r.bearing){var u=Dn(r.bearing,o,Pn);s.bearing=this._map.transform.bearing+t.clamp(u.amount,-179,179),zn(s,u)}if(r.pitch){var f=Dn(r.pitch,o,In);s.pitch=this._map.transform.pitch+f.amount,zn(s,f)}if(s.zoom||s.bearing){var h=void 0===r.pinchAround?r.around:r.pinchAround;s.around=h?this._map.unproject(h):this._map.getCenter()}return this.clear(),t.extend(s,{noMoveStart:!0})}};var Rn=function(e){function n(n,i,a,o){void 0===o&&(o={});var s=r.mousePos(i.getCanvasContainer(),a),l=i.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:a},o)),this._defaultPrevented=!1,this.target=i}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Fn=function(e){function n(n,i,a){var o=\"touchend\"===n?a.changedTouches:a.touches,s=r.touchPos(i.getCanvasContainer(),o),l=s.map((function(t){return i.unproject(t)})),c=s.reduce((function(t,e,r,n){return t.add(e.div(n.length))}),new t.Point(0,0)),u=i.unproject(c);e.call(this,n,{points:s,point:c,lngLats:l,lngLat:u,originalEvent:a}),this._defaultPrevented=!1}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Bn=function(t){function e(e,r,n){t.call(this,e,{originalEvent:n}),this._defaultPrevented=!1}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={defaultPrevented:{configurable:!0}};return e.prototype.preventDefault=function(){this._defaultPrevented=!0},r.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(e.prototype,r),e}(t.Event),Nn=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};Nn.prototype.reset=function(){delete this._mousedownPos},Nn.prototype.wheel=function(t){return this._firePreventable(new Bn(t.type,this._map,t))},Nn.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new Rn(t.type,this._map,t))},Nn.prototype.mouseup=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.dblclick=function(t){return this._firePreventable(new Rn(t.type,this._map,t))},Nn.prototype.mouseover=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.mouseout=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.touchstart=function(t){return this._firePreventable(new Fn(t.type,this._map,t))},Nn.prototype.touchmove=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype.touchend=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype.touchcancel=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Nn.prototype.isEnabled=function(){return!0},Nn.prototype.isActive=function(){return!1},Nn.prototype.enable=function(){},Nn.prototype.disable=function(){};var jn=function(t){this._map=t};jn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},jn.prototype.mousemove=function(t){this._map.fire(new Rn(t.type,this._map,t))},jn.prototype.mousedown=function(){this._delayContextMenu=!0},jn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Rn(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},jn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Rn(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()},jn.prototype.isEnabled=function(){return!0},jn.prototype.isActive=function(){return!1},jn.prototype.enable=function(){},jn.prototype.disable=function(){};var Un=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Vn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Un.prototype.isEnabled=function(){return!!this._enabled},Un.prototype.isActive=function(){return!!this._active},Un.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Un.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Un.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Un.prototype.mousemoveWindow=function(t,e){if(this._active){var n=e;if(!(this._lastPos.equals(n)||!this._box&&n.dist(this._startPos)<this._clickTolerance)){var i=this._startPos;this._lastPos=n,this._box||(this._box=r.create(\"div\",\"mapboxgl-boxzoom\",this._container),this._container.classList.add(\"mapboxgl-crosshair\"),this._fireEvent(\"boxzoomstart\",t));var a=Math.min(i.x,n.x),o=Math.max(i.x,n.x),s=Math.min(i.y,n.y),l=Math.max(i.y,n.y);r.setTransform(this._box,\"translate(\"+a+\"px,\"+s+\"px)\"),this._box.style.width=o-a+\"px\",this._box.style.height=l-s+\"px\"}}},Un.prototype.mouseupWindow=function(e,n){var i=this;if(this._active&&0===e.button){var a=this._startPos,o=n;if(this.reset(),r.suppressClick(),a.x!==o.x||a.y!==o.y)return this._map.fire(new t.Event(\"boxzoomend\",{originalEvent:e})),{cameraAnimation:function(t){return t.fitScreenCoordinates(a,o,i._map.getBearing(),{linear:!0})}};this._fireEvent(\"boxzoomcancel\",e)}},Un.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent(\"boxzoomcancel\",t))},Un.prototype.reset=function(){this._active=!1,this._container.classList.remove(\"mapboxgl-crosshair\"),this._box&&(r.remove(this._box),this._box=null),r.enableDrag(),delete this._startPos,delete this._lastPos},Un.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var Hn=function(t){this.reset(),this.numTouches=t.numTouches};Hn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},Hn.prototype.touchstart=function(e,r,n){(this.centroid||n.length>this.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n<i.length;n+=1){var a=i[n];r._add(a)}return r.div(e.length)}(r),this.touches=Vn(n,r)))},Hn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=Vn(r,e);for(var i in this.touches){var a=this.touches[i],o=n[i];(!o||o.dist(a)>30)&&(this.aborted=!0)}}},Hn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var qn=function(t){this.singleTap=new Hn(t),this.numTaps=t.numTaps,this.reset()};qn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},qn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},qn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},qn.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Gn=function(){this._zoomIn=new qn({numTouches:1,numTaps:2}),this._zoomOut=new qn({numTouches:2,numTaps:1}),this.reset()};Gn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Gn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Gn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Gn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Gn.prototype.touchcancel=function(){this.reset()},Gn.prototype.enable=function(){this._enabled=!0},Gn.prototype.disable=function(){this._enabled=!1,this.reset()},Gn.prototype.isEnabled=function(){return this._enabled},Gn.prototype.isActive=function(){return this._active};var Yn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Yn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Yn.prototype._correctButton=function(t,e){return!1},Yn.prototype._move=function(t,e){return{}},Yn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Yn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r&&(t.preventDefault(),this._moved||!(e.dist(r)<this._clickTolerance)))return this._moved=!0,this._lastPoint=e,this._move(r,e)},Yn.prototype.mouseupWindow=function(t){r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},Yn.prototype.enable=function(){this._enabled=!0},Yn.prototype.disable=function(){this._enabled=!1,this.reset()},Yn.prototype.isEnabled=function(){return this._enabled},Yn.prototype.isActive=function(){return this._active};var Wn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.mousedown=function(e,r){t.prototype.mousedown.call(this,e,r),this._lastPoint&&(this._active=!0)},e.prototype._correctButton=function(t,e){return 0===e&&!t.ctrlKey},e.prototype._move=function(t,e){return{around:e,panDelta:e.sub(t)}},e}(Yn),Xn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=.8*(e.x-t.x);if(r)return this._active=!0,{bearingDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Yn),Zn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=-.5*(e.y-t.y);if(r)return this._active=!0,{pitchDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Yn),Jn=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};Jn.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},Jn.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},Jn.prototype.touchmove=function(t,e,r){if(this._active)return t.preventDefault(),this._calculateTransform(t,e,r)},Jn.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},Jn.prototype.touchcancel=function(){this.reset()},Jn.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var i=Vn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var c=i[l],u=this._touches[l];u&&(a._add(c),o._add(c.sub(u)),s++,i[l]=c)}if(this._touches=i,!(s<this._minTouches)&&o.mag()){var f=o.div(s);if(this._sum._add(f),!(this._sum.mag()<this._clickTolerance))return{around:a.div(s),panDelta:f}}},Jn.prototype.enable=function(){this._enabled=!0},Jn.prototype.disable=function(){this._enabled=!1,this.reset()},Jn.prototype.isEnabled=function(){return this._enabled},Jn.prototype.isActive=function(){return this._active};var Kn=function(){this.reset()};function Qn(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}Kn.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},Kn.prototype._start=function(t){},Kn.prototype._move=function(t,e,r){return{}},Kn.prototype.touchstart=function(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]))},Kn.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,i=n[0],a=n[1],o=Qn(r,e,i),s=Qn(r,e,a);if(o&&s){var l=this._aroundCenter?null:o.add(s).div(2);return this._move([o,s],l,t)}}},Kn.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var i=this._firstTwoTouches,a=i[0],o=i[1],s=Qn(n,e,a),l=Qn(n,e,o);s&&l||(this._active&&r.suppressClick(),this.reset())}},Kn.prototype.touchcancel=function(){this.reset()},Kn.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around},Kn.prototype.disable=function(){this._enabled=!1,this.reset()},Kn.prototype.isEnabled=function(){return this._enabled},Kn.prototype.isActive=function(){return this._active};function $n(t,e){return Math.log(t/e)/Math.LN2}var ti=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._distance,delete this._startDistance},e.prototype._start=function(t){this._startDistance=this._distance=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs($n(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:$n(this._distance,r),pinchAround:e}},e}(Kn);function ei(t,e){return 180*t.angleWith(e)/Math.PI}var ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},e.prototype._start=function(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:ei(this._vector,r),pinchAround:e}},e.prototype._isBelowThreshold=function(t){this._minDiameter=Math.min(this._minDiameter,t.mag());var e=25/(Math.PI*this._minDiameter)*360,r=ei(t,this._startVector);return Math.abs(r)<e},e}(Kn);function ni(t){return Math.abs(t.y)>Math.abs(t.x)}var ii=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,ni(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid){this._lastPoints=t,this._active=!0;return{pitchDelta:-.5*((n.y+i.y)/2)}}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return ni(t)&&ni(e)&&a}},e}(Kn),ai={panStep:100,bearingStep:15,pitchStep:10},oi=function(){var t=ai;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep};function si(t){return t*(2-t)}oi.prototype.reset=function(){this._active=!1},oi.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:\"keyboardHandler\",easing:si,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},oi.prototype.enable=function(){this._enabled=!0},oi.prototype.disable=function(){this._enabled=!1,this.reset()},oi.prototype.isEnabled=function(){return this._enabled},oi.prototype.isActive=function(){return this._active};var li=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=1/450,t.bindAll([\"_onWheel\",\"_onTimeout\",\"_onScrollFrame\",\"_onScrollFinished\"],this)};li.prototype.setZoomRate=function(t){this._defaultZoomRate=t},li.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},li.prototype.isEnabled=function(){return!!this._enabled},li.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},li.prototype.isZooming=function(){return!!this._zooming},li.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},li.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},li.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%4.000244140625==0?this._type=\"wheel\":0!==r&&Math.abs(r)<4?this._type=\"trackpad\":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},li.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},li.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},li.prototype.renderFrame=function(){return this._onScrollFrame()},li.prototype._onScrollFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n=\"wheel\"===this._type&&Math.abs(this._delta)>4.000244140625?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a=\"number\"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),\"wheel\"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s=\"number\"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,c=this._easing,u=!1;if(\"wheel\"===this._type&&l&&c){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=c(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):u=!0}else o=s,u=!0;return this._active=!0,u&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!u,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},li.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},li.prototype.reset=function(){this._active=!1};var ci=function(t,e){this._clickZoom=t,this._tapZoom=e};ci.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},ci.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},ci.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},ci.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var ui=function(){this.reset()};ui.prototype.reset=function(){this._active=!1},ui.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},ui.prototype.enable=function(){this._enabled=!0},ui.prototype.disable=function(){this._enabled=!1,this.reset()},ui.prototype.isEnabled=function(){return this._enabled},ui.prototype.isActive=function(){return this._active};var fi=function(){this._tap=new qn({numTouches:1,numTaps:1}),this.reset()};fi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},fi.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},fi.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},fi.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},fi.prototype.touchcancel=function(){this.reset()},fi.prototype.enable=function(){this._enabled=!0},fi.prototype.disable=function(){this._enabled=!1,this.reset()},fi.prototype.isEnabled=function(){return this._enabled},fi.prototype.isActive=function(){return this._active};var hi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};hi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},hi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},hi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},hi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var pi=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};pi.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},pi.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},pi.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},pi.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var di=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};di.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add(\"mapboxgl-touch-zoom-rotate\")},di.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},di.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},di.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},di.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},di.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var mi=function(t){return t.zoom||t.drag||t.pitch||t.rotate},gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function vi(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var yi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new On(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll([\"handleEvent\",\"handleWindowEvent\"],this);var i=this._el;this._listeners=[[i,\"touchstart\",{passive:!1}],[i,\"touchmove\",{passive:!1}],[i,\"touchend\",void 0],[i,\"touchcancel\",void 0],[i,\"mousedown\",void 0],[i,\"mousemove\",void 0],[i,\"mouseup\",void 0],[t.window.document,\"mousemove\",{capture:!0}],[t.window.document,\"mouseup\",void 0],[i,\"mouseover\",void 0],[i,\"mouseout\",void 0],[i,\"dblclick\",void 0],[i,\"click\",void 0],[i,\"keydown\",{capture:!1}],[i,\"keyup\",void 0],[i,\"wheel\",{passive:!1}],[i,\"contextmenu\",void 0],[t.window,\"blur\",void 0]];for(var a=0,o=this._listeners;a<o.length;a+=1){var s=o[a],l=s[0],c=s[1],u=s[2];r.addEventListener(l,c,l===t.window.document?this.handleWindowEvent:this.handleEvent,u)}};yi.prototype.destroy=function(){for(var e=0,n=this._listeners;e<n.length;e+=1){var i=n[e],a=i[0],o=i[1],s=i[2];r.removeEventListener(a,o,a===t.window.document?this.handleWindowEvent:this.handleEvent,s)}},yi.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add(\"mapEvent\",new Nn(e,t));var n=e.boxZoom=new Un(e,t);this._add(\"boxZoom\",n);var i=new Gn,a=new ui;e.doubleClickZoom=new ci(a,i),this._add(\"tapZoom\",i),this._add(\"clickZoom\",a);var o=new fi;this._add(\"tapDragZoom\",o);var s=e.touchPitch=new ii;this._add(\"touchPitch\",s);var l=new Xn(t),c=new Zn(t);e.dragRotate=new pi(t,l,c),this._add(\"mouseRotate\",l,[\"mousePitch\"]),this._add(\"mousePitch\",c,[\"mouseRotate\"]);var u=new Wn(t),f=new Jn(t);e.dragPan=new hi(r,u,f),this._add(\"mousePan\",u),this._add(\"touchPan\",f,[\"touchZoom\",\"touchRotate\"]);var h=new ri,p=new ti;e.touchZoomRotate=new di(r,p,h,o),this._add(\"touchRotate\",h,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",p,[\"touchPan\",\"touchRotate\"]);var d=e.scrollZoom=new li(e,this);this._add(\"scrollZoom\",d,[\"mousePan\"]);var m=e.keyboard=new oi;this._add(\"keyboard\",m),this._add(\"blockableMapEvent\",new jn(e));for(var g=0,v=[\"boxZoom\",\"doubleClickZoom\",\"tapDragZoom\",\"touchPitch\",\"dragRotate\",\"dragPan\",\"touchZoomRotate\",\"scrollZoom\",\"keyboard\"];g<v.length;g+=1){var y=v[g];t.interactive&&t[y]&&e[y].enable(t[y])}},yi.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},yi.prototype.stop=function(){if(!this._updatingCamera){for(var t=0,e=this._handlers;t<e.length;t+=1){e[t].handler.reset()}this._inertia.clear(),this._fireEvents({},{}),this._changes=[]}},yi.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1){if(e[t].handler.isActive())return!0}return!1},yi.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},yi.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},yi.prototype.isMoving=function(){return Boolean(mi(this._eventsInProgress))||this.isZooming()},yi.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},yi.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+\"Window\")},yi.prototype._getMapTouches=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=i.target;this._el.contains(a)&&e.push(i)}return e},yi.prototype.handleEvent=function(t,e){if(\"blur\"!==t.type){this._updatingCamera=!0;for(var n=\"renderFrame\"===t.type?void 0:t,i={needsRenderFrame:!1},a={},o={},s=t.touches?this._getMapTouches(t.touches):void 0,l=s?r.touchPos(this._el,s):r.mousePos(this._el,t),c=0,u=this._handlers;c<u.length;c+=1){var f=u[c],h=f.handlerName,p=f.handler,d=f.allowed;if(p.isEnabled()){var m=void 0;this._blockedByActive(o,d,h)?p.reset():p[e||t.type]&&(m=p[e||t.type](t,l,s),this.mergeHandlerResult(i,a,m,h,n),m&&m.needsRenderFrame&&this._triggerRenderFrame()),(m||p.isActive())&&(o[h]=p)}}var g={};for(var v in this._previousActiveHandlers)o[v]||(g[v]=n);this._previousActiveHandlers=o,(Object.keys(g).length||vi(i))&&(this._changes.push([i,a,g]),this._triggerRenderFrame()),(Object.keys(o).length||vi(i))&&this._map._stop(!0),this._updatingCamera=!1;var y=i.cameraAnimation;y&&(this._inertia.clear(),this._fireEvents({},{}),this._changes=[],y(this._map))}else this.stop()},yi.prototype.mergeHandlerResult=function(e,r,n,i,a){if(n){t.extend(e,n);var o={handlerName:i,originalEvent:n.originalEvent||a};void 0!==n.zoomDelta&&(r.zoom=o),void 0!==n.panDelta&&(r.drag=o),void 0!==n.pitchDelta&&(r.pitch=o),void 0!==n.bearingDelta&&(r.rotate=o)}},yi.prototype._applyChanges=function(){for(var e={},r={},n={},i=0,a=this._changes;i<a.length;i+=1){var o=a[i],s=o[0],l=o[1],c=o[2];s.panDelta&&(e.panDelta=(e.panDelta||new t.Point(0,0))._add(s.panDelta)),s.zoomDelta&&(e.zoomDelta=(e.zoomDelta||0)+s.zoomDelta),s.bearingDelta&&(e.bearingDelta=(e.bearingDelta||0)+s.bearingDelta),s.pitchDelta&&(e.pitchDelta=(e.pitchDelta||0)+s.pitchDelta),void 0!==s.around&&(e.around=s.around),void 0!==s.pinchAround&&(e.pinchAround=s.pinchAround),s.noInertia&&(e.noInertia=s.noInertia),t.extend(r,l),t.extend(n,c)}this._updateMapTransform(e,r,n),this._changes=[]},yi.prototype._updateMapTransform=function(t,e,r){var n=this._map,i=n.transform;if(!vi(t))return this._fireEvents(e,r);var a=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,c=t.around,u=t.pinchAround;void 0!==u&&(c=u),n._stop(!0),c=c||n.transform.centerPoint;var f=i.pointLocation(a?c.sub(a):c);s&&(i.bearing+=s),l&&(i.pitch+=l),o&&(i.zoom+=o),i.setLocationAtPoint(f,c),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r)},yi.prototype._fireEvents=function(e,r){var n=this,i=mi(this._eventsInProgress),a=mi(e),o={};for(var s in e){var l=e[s].originalEvent;this._eventsInProgress[s]||(o[s+\"start\"]=l),this._eventsInProgress[s]=e[s]}for(var c in!i&&a&&this._fireEvent(\"movestart\",a.originalEvent),o)this._fireEvent(c,o[c]);for(var u in e.rotate&&(this._bearingChanged=!0),a&&this._fireEvent(\"move\",a.originalEvent),e){var f=e[u].originalEvent;this._fireEvent(u,f)}var h,p={};for(var d in this._eventsInProgress){var m=this._eventsInProgress[d],g=m.handlerName,v=m.originalEvent;this._handlersById[g].isActive()||(delete this._eventsInProgress[d],h=r[g]||v,p[d+\"end\"]=h)}for(var y in p)this._fireEvent(y,p[y]);var x=mi(this._eventsInProgress);if((i||a)&&!x){this._updatingCamera=!0;var b=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),_=function(t){return 0!==t&&-n._bearingSnap<t&&t<n._bearingSnap};b?(_(b.bearing||this._map.getBearing())&&(b.bearing=0),this._map.easeTo(b,{originalEvent:h})):(this._map.fire(new t.Event(\"moveend\",{originalEvent:h})),_(this._map.getBearing())&&this._map.resetNorth()),this._bearingChanged=!1,this._updatingCamera=!1}},yi.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},yi.prototype._triggerRenderFrame=function(){var t=this;void 0===this._frameId&&(this._frameId=this._map._requestRenderFrame((function(e){delete t._frameId,t.handleEvent(new gi(\"renderFrame\",{timeStamp:e})),t._applyChanges()})))};var xi=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll([\"_renderFrameCallback\"],this)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.getPadding=function(){return this.transform.padding},r.prototype.setPadding=function(t,e){return this.jumpTo({padding:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){return e=t.LngLatBounds.convert(e),this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),0,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,i){var a={top:0,bottom:0,right:0,left:0};if(\"number\"==typeof(i=t.extend({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){var o=i.padding;i.padding={top:o,bottom:o,right:o,left:o}}i.padding=t.extend(a,i.padding);var s=this.transform,l=s.padding,c=s.project(t.LngLat.convert(e)),u=s.project(t.LngLat.convert(r)),f=c.rotate(-n*Math.PI/180),h=u.rotate(-n*Math.PI/180),p=new t.Point(Math.max(f.x,h.x),Math.max(f.y,h.y)),d=new t.Point(Math.min(f.x,h.x),Math.min(f.y,h.y)),m=p.sub(d),g=(s.width-(l.left+l.right+i.padding.left+i.padding.right))/m.x,v=(s.height-(l.top+l.bottom+i.padding.top+i.padding.bottom))/m.y;if(!(v<0||g<0)){var y=Math.min(s.scaleZoom(s.scale*Math.min(g,v)),i.maxZoom),x=t.Point.convert(i.offset),b=(i.padding.left-i.padding.right)/2,_=(i.padding.top-i.padding.bottom)/2,w=new t.Point(x.x+b,x.y+_).mult(s.scale/s.zoomScale(y));return{center:s.unproject(c.add(u).div(2).sub(w)),zoom:y,bearing:n}}t.warnOnce(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,i,a){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,i),i,a)},r.prototype._fitInternal=function(e,r,n){return e?(delete(r=t.extend(e,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,i=!1,a=!1,o=!1;return\"zoom\"in e&&n.zoom!==+e.zoom&&(i=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),\"bearing\"in e&&n.bearing!==+e.bearing&&(a=!0,n.bearing=+e.bearing),\"pitch\"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),null==e.padding||n.isPaddingEqual(e.padding)||(n.padding=e.padding),this.fire(new t.Event(\"movestart\",r)).fire(new t.Event(\"move\",r)),i&&this.fire(new t.Event(\"zoomstart\",r)).fire(new t.Event(\"zoom\",r)).fire(new t.Event(\"zoomend\",r)),a&&this.fire(new t.Event(\"rotatestart\",r)).fire(new t.Event(\"rotate\",r)).fire(new t.Event(\"rotateend\",r)),o&&this.fire(new t.Event(\"pitchstart\",r)).fire(new t.Event(\"pitch\",r)).fire(new t.Event(\"pitchend\",r)),this.fire(new t.Event(\"moveend\",r))},r.prototype.easeTo=function(e,r){var n=this;this._stop(!1,e.easeId),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||!e.essential&&t.browser.prefersReducedMotion)&&(e.duration=0);var i=this.transform,a=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=this.getPadding(),c=\"zoom\"in e?+e.zoom:a,u=\"bearing\"in e?this._normalizeBearing(e.bearing,o):o,f=\"pitch\"in e?+e.pitch:s,h=\"padding\"in e?e.padding:i.padding,p=t.Point.convert(e.offset),d=i.centerPoint.add(p),m=i.pointLocation(d),g=t.LngLat.convert(e.center||m);this._normalizeCenter(g);var v,y,x=i.project(m),b=i.project(g).sub(x),_=i.zoomScale(c-a);e.around&&(v=t.LngLat.convert(e.around),y=i.locationPoint(v));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||c!==a,this._rotating=this._rotating||o!==u,this._pitching=this._pitching||f!==s,this._padding=!i.isPaddingEqual(h),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),clearTimeout(this._easeEndTimeoutID),this._ease((function(e){if(n._zooming&&(i.zoom=t.number(a,c,e)),n._rotating&&(i.bearing=t.number(o,u,e)),n._pitching&&(i.pitch=t.number(s,f,e)),n._padding&&(i.interpolatePadding(l,h,e),d=i.centerPoint.add(p)),v)i.setLocationAtPoint(v,y);else{var m=i.zoomScale(i.zoom-a),g=c>a?Math.min(2,_):Math.max(.5,_),w=Math.pow(g,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(m));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event(\"movestart\",e)),this._zooming&&!n.zooming&&this.fire(new t.Event(\"zoomstart\",e)),this._rotating&&!n.rotating&&this.fire(new t.Event(\"rotatestart\",e)),this._pitching&&!n.pitching&&this.fire(new t.Event(\"pitchstart\",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event(\"move\",e)),this._zooming&&this.fire(new t.Event(\"zoom\",e)),this._rotating&&this.fire(new t.Event(\"rotate\",e)),this._pitching&&this.fire(new t.Event(\"pitch\",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event(\"zoomend\",e)),i&&this.fire(new t.Event(\"rotateend\",e)),a&&this.fire(new t.Event(\"pitchend\",e)),this.fire(new t.Event(\"moveend\",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),c=this.getPadding(),u=\"zoom\"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f=\"bearing\"in e?this._normalizeBearing(e.bearing,s):s,h=\"pitch\"in e?+e.pitch:l,p=\"padding\"in e?e.padding:a.padding,d=a.zoomScale(u-o),m=t.Point.convert(e.offset),g=a.centerPoint.add(m),v=a.pointLocation(g),y=t.LngLat.convert(e.center||v);this._normalizeCenter(y);var x=a.project(v),b=a.project(y).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if(\"minZoom\"in e){var A=t.clamp(Math.min(e.minZoom,o,u),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);_=Math.sqrt(M/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function L(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),I=function(t){return C(P)/C(P+_*t)},O=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/k;var e},z=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(z)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var D=T<w?-1:1;z=Math.abs(Math.log(T/w))/_,O=function(){return 0},I=function(t){return Math.exp(D*_*t)}}if(\"duration\"in e)e.duration=+e.duration;else{var R=\"screenSpeed\"in e?+e.screenSpeed/_:+e.speed;e.duration=1e3*z/R}return e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*z,d=1/I(i);a.zoom=1===e?u:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(c,p,e),g=a.centerPoint.add(m));var v=1===e?y:a.unproject(x.add(b.mult(O(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?v.wrap():v,g),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop()}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)<n&&(e-=360),Math.abs(e+360-r)<n&&(e+=360),e},r.prototype._normalizeCenter=function(t){var e=this.transform;if(e.renderWorldCopies&&!e.lngRange){var r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}},r}(t.Evented),bi=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};bi.prototype.getDefaultPosition=function(){return\"bottom-right\"},bi.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-attrib\"),this._innerContainer=r.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),e&&this._container.classList.add(\"mapboxgl-compact\"),this._updateAttributions(),this._updateEditLink(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"moveend\",this._updateEditLink),void 0===e&&(this._map.on(\"resize\",this._updateCompact),this._updateCompact()),this._container},bi.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"moveend\",this._updateEditLink),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._attribHTML=void 0},bi.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(\".mapbox-improve-map\"));var r=[{key:\"owner\",value:this.styleOwner},{key:\"id\",value:this.styleId},{key:\"access_token\",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+\"=\"+e.value+(n<r.length-1?\"&\":\"\")),t}),\"?\");e.href=t.config.FEEDBACK_URL+\"/\"+n+(this._map._hash?this._map._hash.getHashString(!0):\"\"),e.rel=\"noopener nofollow\"}},bi.prototype._updateData=function(t){!t||\"metadata\"!==t.sourceDataType&&\"style\"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},bi.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map((function(t){return\"string\"!=typeof t?\"\":t}))):\"string\"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){var e=this._map.style.stylesheet;this.styleOwner=e.owner,this.styleId=e.id}var r=this._map.style.sourceCaches;for(var n in r){var i=r[n];if(i.used){var a=i.getSource();a.attribution&&t.indexOf(a.attribution)<0&&t.push(a.attribution)}}t.sort((function(t,e){return t.length-e.length}));var o=(t=t.filter((function(e,r){for(var n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0}))).join(\" | \");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null)}},bi.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\")};var _i=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};_i.prototype.onAdd=function(t){this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl\");var e=r.create(\"a\",\"mapboxgl-ctrl-logo\");return e.target=\"_blank\",e.rel=\"noopener nofollow\",e.href=\"https://www.mapbox.com/\",e.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),e.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(e),this._container.style.display=\"none\",this._map.on(\"sourcedata\",this._updateLogo),this._updateLogo(),this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container},_i.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},_i.prototype.getDefaultPosition=function(){return\"bottom-left\"},_i.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},_i.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t){if(t[e].getSource().mapbox_logo)return!0}return!1}},_i.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add(\"mapboxgl-compact\"):e.classList.remove(\"mapboxgl-compact\")}};var wi=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};wi.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},wi.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;r<n.length;r+=1){var i=n[r];if(i.id===t)return void(i.cancelled=!0)}},wi.prototype.run=function(t){void 0===t&&(t=0);var e=this._currentlyRunning=this._queue;this._queue=[];for(var r=0,n=e;r<n.length;r+=1){var i=n[r];if(!i.cancelled&&(i.callback(t),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},wi.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Ti={\"FullscreenControl.Enter\":\"Enter fullscreen\",\"FullscreenControl.Exit\":\"Exit fullscreen\",\"GeolocateControl.FindMyLocation\":\"Find my location\",\"GeolocateControl.LocationNotAvailable\":\"Location not available\",\"LogoControl.Title\":\"Mapbox logo\",\"NavigationControl.ResetBearing\":\"Reset bearing to north\",\"NavigationControl.ZoomIn\":\"Zoom in\",\"NavigationControl.ZoomOut\":\"Zoom out\",\"ScaleControl.Feet\":\"ft\",\"ScaleControl.Meters\":\"m\",\"ScaleControl.Kilometers\":\"km\",\"ScaleControl.Miles\":\"mi\",\"ScaleControl.NauticalMiles\":\"nm\"},ki=t.window.HTMLImageElement,Ai=t.window.HTMLElement,Mi=t.window.ImageBitmap,Si={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:60,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,bearingSnap:7,clickTolerance:3,pitchWithRotate:!0,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:\"sans-serif\",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},Ei=function(n){function i(e){var r=this;if(null!=(e=t.extend({},Si,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(null!=e.minPitch&&e.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(null!=e.maxPitch&&e.maxPitch>60)throw new Error(\"maxPitch must be less than or equal to 60\");var i=new An(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new wi,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Ti,e.locale),this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),\"string\"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error(\"Container '\"+e.container+\"' not found.\")}else{if(!(e.container instanceof Ai))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll([\"_onWindowOnline\",\"_onWindowResize\",\"_contextLost\",\"_contextRestored\"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error(\"Failed to initialize WebGL.\");this.on(\"move\",(function(){return r._update(!1)})),this.on(\"moveend\",(function(){return r._update(!1)})),this.on(\"zoom\",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener(\"online\",this._onWindowOnline,!1),t.window.addEventListener(\"resize\",this._onWindowResize,!1)),this.handlers=new yi(this,e);var a=\"string\"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new Sn(a).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new bi({customAttribution:e.customAttribution})),this.addControl(new _i,e.logoPosition),this.on(\"style.load\",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on(\"data\",(function(e){r._update(\"style\"===e.dataType),r.fire(new t.Event(e.dataType+\"data\",e))})),this.on(\"dataloading\",(function(e){r.fire(new t.Event(e.dataType+\"dataloading\",e))}))}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&e.getDefaultPosition&&(r=e.getDefaultPosition()),void 0===r&&(r=\"top-right\"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf(\"bottom\")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event(\"movestart\",e)).fire(new t.Event(\"move\",e))),this.fire(new t.Event(\"resize\",e)),a&&this.fire(new t.Event(\"moveend\",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error(\"minZoom must be between -2 and the current maxZoom, inclusive\")},i.prototype.getMinZoom=function(){return this.transform.minZoom},i.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error(\"minPitch must be between 0 and the current maxPitch, inclusive\")},i.prototype.getMinPitch=function(){return this.transform.minPitch},i.prototype.setMaxPitch=function(t){if((t=null==t?60:t)>60)throw new Error(\"maxPitch must be less than or equal to 60\");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error(\"maxPitch must be greater than the current minPitch\")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if(\"mouseenter\"===t||\"mouseover\"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new Rn(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if(\"mouseleave\"===t||\"mouseout\"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new Rn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Rn(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o<a.length;o++){var s=a[o];if(s.layer===e&&s.listener===r){for(var l in s.delegates)i.off(l,s.delegates[l]);return a.splice(o,1),i}}}(this._delegatedListeners),this},i.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return[];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||\"number\"==typeof e[0])n=[t.Point.convert(e)];else{var i=t.Point.convert(e[0]),a=t.Point.convert(e[1]);n=[i,new t.Point(a.x,i.y),a,new t.Point(i.x,a.y),i]}return this.style.queryRenderedFeatures(n,r,this.transform)},i.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},i.prototype.setStyle=function(e,r){return!1!==(r=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},i.prototype._getUIString=function(t){var e=this._locale[t];if(null==e)throw new Error(\"Missing UI string '\"+t+\"'\");return e},i.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new qe(this,e||{}),this.style.setEventedParent(this,{style:this.style}),\"string\"==typeof t?this.style.loadURL(t):this.style.loadJSON(t),this):(delete this.style,this)},i.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new qe(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},i.prototype._diffStyle=function(e,r){var n=this;if(\"string\"==typeof e){var i=this._requestManager.normalizeStyleURL(e),a=this._requestManager.transformRequest(i,t.ResourceType.Style);t.getJSON(a,(function(e,i){e?n.fire(new t.ErrorEvent(e)):i&&n._updateDiff(i,r)}))}else\"object\"==typeof e&&this._updateDiff(e,r)},i.prototype._updateDiff=function(e,r){try{this.style.setState(e)&&this._update(!0)}catch(n){t.warnOnce(\"Unable to perform style diff: \"+(n.message||n.error||n)+\".  Rebuilding the style from scratch.\"),this._updateStyle(e,r)}},i.prototype.getStyle=function(){if(this.style)return this.style.serialize()},i.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce(\"There is no style added to the map.\")},i.prototype.addSource=function(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)},i.prototype.isSourceLoaded=function(e){var r=this.style&&this.style.sourceCaches[e];if(void 0!==r)return r.loaded();this.fire(new t.ErrorEvent(new Error(\"There is no source with ID '\"+e+\"'\")))},i.prototype.areTilesLoaded=function(){var t=this.style&&this.style.sourceCaches;for(var e in t){var r=t[e]._tiles;for(var n in r){var i=r[n];if(\"loaded\"!==i.state&&\"errored\"!==i.state)return!1}}return!0},i.prototype.addSourceType=function(t,e,r){return this._lazyInitEmptyStyle(),this.style.addSourceType(t,e,r)},i.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},i.prototype.getSource=function(t){return this.style.getSource(t)},i.prototype.addImage=function(e,r,n){void 0===n&&(n={});var i=n.pixelRatio;void 0===i&&(i=1);var a=n.sdf;void 0===a&&(a=!1);var o=n.stretchX,s=n.stretchY,l=n.content;this._lazyInitEmptyStyle();if(r instanceof ki||Mi&&r instanceof Mi){var c=t.browser.getImageData(r),u=c.width,f=c.height,h=c.data;this.style.addImage(e,{data:new t.RGBAImage({width:u,height:f},h),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0})}else{if(void 0===r.width||void 0===r.height)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));var p=r.width,d=r.height,m=r.data,g=r;this.style.addImage(e,{data:new t.RGBAImage({width:p,height:d},new Uint8Array(m)),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0,userImage:g}),g.onAdd&&g.onAdd(this,e)}},i.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));var i=r instanceof ki||Mi&&r instanceof Mi?t.browser.getImageData(r):r,a=i.width,o=i.height,s=i.data;if(void 0===a||void 0===o)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));if(a!==n.data.width||o!==n.data.height)return this.fire(new t.ErrorEvent(new Error(\"The width and height of the updated image must be that same as the previous version of the image\")));var l=!(r instanceof ki||Mi&&r instanceof Mi);n.data.replace(s,l),this.style.updateImage(e,n)},i.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error(\"Missing required image id\"))),!1)},i.prototype.removeImage=function(t){this.style.removeImage(t)},i.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},i.prototype.listImages=function(){return this.style.listImages()},i.prototype.addLayer=function(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)},i.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},i.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},i.prototype.getLayer=function(t){return this.style.getLayer(t)},i.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},i.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},i.prototype.getFilter=function(t){return this.style.getFilter(t)},i.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},i.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},i.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},i.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},i.prototype.setLight=function(t,e){return void 0===e&&(e={}),this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)},i.prototype.getLight=function(){return this.style.getLight()},i.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},i.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},i.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},i.prototype.getContainer=function(){return this._container},i.prototype.getCanvasContainer=function(){return this._canvasContainer},i.prototype.getCanvas=function(){return this._canvas},i.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},i.prototype._detectMissingCSS=function(){\"rgb(250, 128, 114)\"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue(\"background-color\")&&t.warnOnce(\"This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.\")},i.prototype._setupContainer=function(){var t=this._container;t.classList.add(\"mapboxgl-map\"),(this._missingCSSCanary=r.create(\"div\",\"mapboxgl-canary\",t)).style.visibility=\"hidden\",this._detectMissingCSS();var e=this._canvasContainer=r.create(\"div\",\"mapboxgl-canvas-container\",t);this._interactive&&e.classList.add(\"mapboxgl-interactive\"),this._canvas=r.create(\"canvas\",\"mapboxgl-canvas\",e),this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",\"0\"),this._canvas.setAttribute(\"aria-label\",\"Map\");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var i=this._controlContainer=r.create(\"div\",\"mapboxgl-control-container\",t),a=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach((function(t){a[t]=r.create(\"div\",\"mapboxgl-ctrl-\"+t,i)}))},i.prototype._resizeCanvas=function(e,r){var n=t.browser.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+\"px\",this._canvas.style.height=r+\"px\"},i.prototype._setupPainter=function(){var r=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),n=this._canvas.getContext(\"webgl\",r)||this._canvas.getContext(\"experimental-webgl\",r);n?(this.painter=new _n(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error(\"Failed to initialize WebGL\")))},i.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event(\"webglcontextlost\",{originalEvent:e}))},i.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event(\"webglcontextrestored\",{originalEvent:e}))},i.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},i.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},i.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},i.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},i.prototype._render=function(e){var r,n=this,i=0,a=this.painter.context.extTimerQuery;if(this.listens(\"gpu-timing-frame\")&&(r=a.createQueryEXT(),a.beginQueryEXT(a.TIME_ELAPSED_EXT,r),i=t.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(e),!this._removed){var o=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var s=this.transform.zoom,l=t.browser.now();this.style.zoomHistory.update(s,l);var c=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),u=c.crossFadingFactor();1===u&&u===this._crossFadingFactor||(o=!0,this._crossFadingFactor=u),this.style.update(c)}if(this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration,showPadding:this.showPadding,gpuTiming:!!this.listens(\"gpu-timing-layer\")}),this.fire(new t.Event(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event(\"load\"))),this.style&&(this.style.hasTransitions()||o)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens(\"gpu-timing-frame\")){var f=t.browser.now()-i;a.endQueryEXT(a.TIME_ELAPSED_EXT,r),setTimeout((function(){var e=a.getQueryObjectEXT(r,a.QUERY_RESULT_EXT)/1e6;a.deleteQueryEXT(r),n.fire(new t.Event(\"gpu-timing-frame\",{cpuTime:f,gpuTime:e}))}),50)}if(this.listens(\"gpu-timing-layer\")){var h=this.painter.collectGpuTimers();setTimeout((function(){var e=n.painter.queryGpuTimers(h);n.fire(new t.Event(\"gpu-timing-layer\",{layerTimes:e}))}),50)}return this._sourcesDirty||this._styleDirty||this._placementDirty||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&(this._fullyLoaded||(this._fullyLoaded=!0),this.fire(new t.Event(\"idle\"))),this}},i.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1){r[e].onRemove(this)}this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener(\"resize\",this._onWindowResize,!1),t.window.removeEventListener(\"online\",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");n&&n.loseContext(),Li(this._canvasContainer),Li(this._controlContainer),Li(this._missingCSSCanary),this._container.classList.remove(\"mapboxgl-map\"),this._removed=!0,this.fire(new t.Event(\"remove\"))},i.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame((function(t){e._frame=null,e._render(t)})))},i.prototype._onWindowOnline=function(){this._update()},i.prototype._onWindowResize=function(t){this._trackResize&&this.resize({originalEvent:t})._update()},a.showTileBoundaries.get=function(){return!!this._showTileBoundaries},a.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},a.showPadding.get=function(){return!!this._showPadding},a.showPadding.set=function(t){this._showPadding!==t&&(this._showPadding=t,this._update())},a.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},a.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},a.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},a.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},a.repaint.get=function(){return!!this._repaint},a.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},a.vertices.get=function(){return!!this._vertices},a.vertices.set=function(t){this._vertices=t,this._update()},i.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},a.version.get=function(){return t.version},Object.defineProperties(i.prototype,a),i}(xi);function Li(t){t.parentNode&&t.parentNode.removeChild(t)}var Ci={showCompass:!0,showZoom:!0,visualizePitch:!1},Pi=function(e){var n=this;this.options=t.extend({},Ci,e),this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this.options.showZoom&&(t.bindAll([\"_setButtonTitle\",\"_updateZoomButtons\"],this),this._zoomInButton=this._createButton(\"mapboxgl-ctrl-zoom-in\",(function(t){return n._map.zoomIn({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomInButton).setAttribute(\"aria-hidden\",!0),this._zoomOutButton=this._createButton(\"mapboxgl-ctrl-zoom-out\",(function(t){return n._map.zoomOut({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomOutButton).setAttribute(\"aria-hidden\",!0)),this.options.showCompass&&(t.bindAll([\"_rotateCompassArrow\"],this),this._compass=this._createButton(\"mapboxgl-ctrl-compass\",(function(t){n.options.visualizePitch?n._map.resetNorthPitch({},{originalEvent:t}):n._map.resetNorth({},{originalEvent:t})})),this._compassIcon=r.create(\"span\",\"mapboxgl-ctrl-icon\",this._compass),this._compassIcon.setAttribute(\"aria-hidden\",!0))};Pi.prototype._updateZoomButtons=function(){var t=this._map.getZoom();this._zoomInButton.disabled=t===this._map.getMaxZoom(),this._zoomOutButton.disabled=t===this._map.getMinZoom()},Pi.prototype._rotateCompassArrow=function(){var t=this.options.visualizePitch?\"scale(\"+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+\") rotateX(\"+this._map.transform.pitch+\"deg) rotateZ(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\":\"rotate(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\";this._compassIcon.style.transform=t},Pi.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,\"ZoomIn\"),this._setButtonTitle(this._zoomOutButton,\"ZoomOut\"),this._map.on(\"zoom\",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,\"ResetBearing\"),this.options.visualizePitch&&this._map.on(\"pitch\",this._rotateCompassArrow),this._map.on(\"rotate\",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Ii(this._map,this._compass,this.options.visualizePitch)),this._container},Pi.prototype.onRemove=function(){r.remove(this._container),this.options.showZoom&&this._map.off(\"zoom\",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off(\"pitch\",this._rotateCompassArrow),this._map.off(\"rotate\",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map},Pi.prototype._createButton=function(t,e){var n=r.create(\"button\",t,this._container);return n.type=\"button\",n.addEventListener(\"click\",e),n},Pi.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString(\"NavigationControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)};var Ii=function(e,n,i){void 0===i&&(i=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new Xn({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,i&&(this.mousePitch=new Zn({clickTolerance:e.dragRotate._mousePitch._clickTolerance})),t.bindAll([\"mousedown\",\"mousemove\",\"mouseup\",\"touchstart\",\"touchmove\",\"touchend\",\"reset\"],this),r.addEventListener(n,\"mousedown\",this.mousedown),r.addEventListener(n,\"touchstart\",this.touchstart,{passive:!1}),r.addEventListener(n,\"touchmove\",this.touchmove),r.addEventListener(n,\"touchend\",this.touchend),r.addEventListener(n,\"touchcancel\",this.reset)};function Oi(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var i=new t.LngLat(e.lng-360,e.lat),a=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(i).distSqr(r)<o?e=i:n.locationPoint(a).distSqr(r)<o&&(e=a)}for(;Math.abs(e.lng-n.center.lng)>180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ii.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ii.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ii.prototype.off=function(){var t=this.element;r.removeEventListener(t,\"mousedown\",this.mousedown),r.removeEventListener(t,\"touchstart\",this.touchstart,{passive:!1}),r.removeEventListener(t,\"touchmove\",this.touchmove),r.removeEventListener(t,\"touchend\",this.touchend),r.removeEventListener(t,\"touchcancel\",this.reset),this.offTemp()},Ii.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\"mousemove\",this.mousemove),r.removeEventListener(t.window,\"mouseup\",this.mouseup)},Ii.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,\"mousemove\",this.mousemove),r.addEventListener(t.window,\"mouseup\",this.mouseup)},Ii.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ii.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ii.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:\"mousedown\",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ii.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ii.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ii.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var zi={center:\"translate(-50%,-50%)\",top:\"translate(-50%,0)\",\"top-left\":\"translate(0,0)\",\"top-right\":\"translate(-100%,0)\",bottom:\"translate(-50%,-100%)\",\"bottom-left\":\"translate(0,-100%)\",\"bottom-right\":\"translate(-100%,-100%)\",left:\"translate(0,-50%)\",right:\"translate(-100%,-50%)\"};function Di(t,e,r){var n=t.classList;for(var i in zi)n.remove(\"mapboxgl-\"+r+\"-anchor-\"+i);n.add(\"mapboxgl-\"+r+\"-anchor-\"+e)}var Ri,Fi=function(e){function n(n,i){var a=this;if(e.call(this),(n instanceof t.window.HTMLElement||i)&&(n=t.extend({element:n},i)),t.bindAll([\"_update\",\"_onMove\",\"_onUp\",\"_addDragHandler\",\"_onMapClick\",\"_onKeyPress\"],this),this._anchor=n&&n.anchor||\"center\",this._color=n&&n.color||\"#3FB1CE\",this._draggable=n&&n.draggable||!1,this._state=\"inactive\",this._rotation=n&&n.rotation||0,this._rotationAlignment=n&&n.rotationAlignment||\"auto\",this._pitchAlignment=n&&n.pitchAlignment&&\"auto\"!==n.pitchAlignment?n.pitchAlignment:this._rotationAlignment,n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else{this._defaultMarker=!0,this._element=r.create(\"div\"),this._element.setAttribute(\"aria-label\",\"Map marker\");var o=r.createNS(\"http://www.w3.org/2000/svg\",\"svg\");o.setAttributeNS(null,\"display\",\"block\"),o.setAttributeNS(null,\"height\",\"41px\"),o.setAttributeNS(null,\"width\",\"27px\"),o.setAttributeNS(null,\"viewBox\",\"0 0 27 41\");var s=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");s.setAttributeNS(null,\"stroke\",\"none\"),s.setAttributeNS(null,\"stroke-width\",\"1\"),s.setAttributeNS(null,\"fill\",\"none\"),s.setAttributeNS(null,\"fill-rule\",\"evenodd\");var l=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");l.setAttributeNS(null,\"fill-rule\",\"nonzero\");var c=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");c.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),c.setAttributeNS(null,\"fill\",\"#000000\");for(var u=0,f=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}];u<f.length;u+=1){var h=f[u],p=r.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");p.setAttributeNS(null,\"opacity\",\"0.04\"),p.setAttributeNS(null,\"cx\",\"10.5\"),p.setAttributeNS(null,\"cy\",\"5.80029008\"),p.setAttributeNS(null,\"rx\",h.rx),p.setAttributeNS(null,\"ry\",h.ry),c.appendChild(p)}var d=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");d.setAttributeNS(null,\"fill\",this._color);var m=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");m.setAttributeNS(null,\"d\",\"M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z\"),d.appendChild(m);var g=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");g.setAttributeNS(null,\"opacity\",\"0.25\"),g.setAttributeNS(null,\"fill\",\"#000000\");var v=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");v.setAttributeNS(null,\"d\",\"M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z\"),g.appendChild(v);var y=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");y.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),y.setAttributeNS(null,\"fill\",\"#FFFFFF\");var x=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");x.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");var b=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");b.setAttributeNS(null,\"fill\",\"#000000\"),b.setAttributeNS(null,\"opacity\",\"0.25\"),b.setAttributeNS(null,\"cx\",\"5.5\"),b.setAttributeNS(null,\"cy\",\"5.5\"),b.setAttributeNS(null,\"r\",\"5.4999962\");var _=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");_.setAttributeNS(null,\"fill\",\"#FFFFFF\"),_.setAttributeNS(null,\"cx\",\"5.5\"),_.setAttributeNS(null,\"cy\",\"5.5\"),_.setAttributeNS(null,\"r\",\"5.4999962\"),x.appendChild(b),x.appendChild(_),l.appendChild(c),l.appendChild(d),l.appendChild(g),l.appendChild(y),l.appendChild(x),o.appendChild(l),this._element.appendChild(o),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add(\"mapboxgl-marker\"),this._element.addEventListener(\"dragstart\",(function(t){t.preventDefault()})),this._element.addEventListener(\"mousedown\",(function(t){t.preventDefault()})),this._element.addEventListener(\"focus\",(function(){var t=a._map.getContainer();t.scrollTop=0,t.scrollLeft=0})),Di(this._element,this._anchor,\"marker\"),this._popup=null}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on(\"move\",this._update),t.on(\"moveend\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler),this._map.off(\"mouseup\",this._onUp),this._map.off(\"touchend\",this._onUp),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),t){if(!(\"offset\"in t.options)){var e=Math.sqrt(Math.pow(13.5,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-38.1],\"bottom-left\":[e,-1*(24.6+e)],\"bottom-right\":[-e,-1*(24.6+e)],left:[13.5,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress)}return this},n.prototype._onKeyPress=function(t){var e=t.code,r=t.charCode||t.keyCode;\"Space\"!==e&&\"Enter\"!==e&&32!==r&&13!==r||this.togglePopup()},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=Oi(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var e=\"\";\"viewport\"===this._rotationAlignment||\"auto\"===this._rotationAlignment?e=\"rotateZ(\"+this._rotation+\"deg)\":\"map\"===this._rotationAlignment&&(e=\"rotateZ(\"+(this._rotation-this._map.getBearing())+\"deg)\");var n=\"\";\"viewport\"===this._pitchAlignment||\"auto\"===this._pitchAlignment?n=\"rotateX(0deg)\":\"map\"===this._pitchAlignment&&(n=\"rotateX(\"+this._map.getPitch()+\"deg)\"),t&&\"moveend\"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,zi[this._anchor]+\" translate(\"+this._pos.x+\"px, \"+this._pos.y+\"px) \"+n+\" \"+e)}},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\"none\",\"pending\"===this._state&&(this._state=\"active\",this.fire(new t.Event(\"dragstart\"))),this.fire(new t.Event(\"drag\"))},n.prototype._onUp=function(){this._element.style.pointerEvents=\"auto\",this._positionDelta=null,this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),\"active\"===this._state&&this.fire(new t.Event(\"dragend\")),this._state=\"inactive\"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._state=\"pending\",this._map.on(\"mousemove\",this._onMove),this._map.on(\"touchmove\",this._onMove),this._map.once(\"mouseup\",this._onUp),this._map.once(\"touchend\",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on(\"mousedown\",this._addDragHandler),this._map.on(\"touchstart\",this._addDragHandler)):(this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||\"auto\",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&\"auto\"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Bi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Ni=0,ji=!1,Ui=function(e){function n(r){e.call(this),this.options=t.extend({},Bi,r),t.bindAll([\"_onSuccess\",\"_onError\",\"_onZoom\",\"_finish\",\"_setupUI\",\"_updateCamera\",\"_updateMarker\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.onAdd=function(e){var n;return this._map=e,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),n=this._setupUI,void 0!==Ri?n(Ri):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:\"geolocation\"}).then((function(t){Ri=\"denied\"!==t.state,n(Ri)})):(Ri=!!t.window.navigator.geolocation,n(Ri)),this._container},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,Ni=0,ji=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitude<e.getWest()||r.longitude>e.getEast()||r.latitude<e.getSouth()||r.latitude>e.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event(\"outofmaxbounds\",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\")}this.options.showUserLocation&&\"OFF\"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&\"ACTIVE_LOCK\"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"geolocate\",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+\"px\",this._circleElement.style.height=i+\"px\"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;var r=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=r,this._geolocateButton.setAttribute(\"aria-label\",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&ji)return;this._setErrorState()}\"OFF\"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"error\",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this._geolocateButton=r.create(\"button\",\"mapboxgl-ctrl-geolocate\",this._container),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",!0),this._geolocateButton.type=\"button\",!1===e){t.warnOnce(\"Geolocation support is not available so the GeolocateControl will be disabled.\");var i=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute(\"aria-label\",i)}else{var a=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.title=a,this._geolocateButton.setAttribute(\"aria-label\",a)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=r.create(\"div\",\"mapboxgl-user-location-dot\"),this._userLocationDotMarker=new Fi(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Fi({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",(function(e){var r=e.originalEvent&&\"resize\"===e.originalEvent.type;e.geolocateSource||\"ACTIVE_LOCK\"!==n._watchState||r||(n._watchState=\"BACKGROUND\",n._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\"),n._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),n.fire(new t.Event(\"trackuserlocationend\")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce(\"Geolocate control triggered before added to a map\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new t.Event(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":Ni--,ji=!1,this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this.fire(new t.Event(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event(\"trackuserlocationstart\"))}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"BACKGROUND\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\");break;case\"BACKGROUND_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\")}if(\"OFF\"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),++Ni>1?(e={maximumAge:6e5,timeout:0},ji=!0):(e=this.options.positionOptions,ji=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Vi={maxWidth:100,unit:\"metric\"},Hi=function(e){this.options=t.extend({},Vi,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function qi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&\"imperial\"===r.unit){var l=3.2808*s;if(l>5280)Gi(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\"));else Gi(e,n,l,t._getUIString(\"ScaleControl.Feet\"))}else if(r&&\"nautical\"===r.unit){Gi(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\"))}else s>=1e3?Gi(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):Gi(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function Gi(t,e,r,n){var i,a,o,s=(i=r,a=Math.pow(10,(\"\"+Math.floor(i)).length-1),o=(o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o),a*o),l=s/r;t.style.width=e*l+\"px\",t.innerHTML=s+\"&nbsp;\"+n}Hi.prototype.getDefaultPosition=function(){return\"bottom-left\"},Hi.prototype._onMove=function(){qi(this._map,this._container,this.options)},Hi.prototype.onAdd=function(t){return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-scale\",t.getContainer()),this._map.on(\"move\",this._onMove),this._onMove(),this._container},Hi.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},Hi.prototype.setUnit=function(t){this.options.unit=t,qi(this._map,this._container,this.options)};var Yi=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce(\"Full screen control 'container' must be a DOM element.\")),t.bindAll([\"_onClickFullscreen\",\"_changeIcon\"],this),\"onfullscreenchange\"in t.window.document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in t.window.document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in t.window.document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in t.window.document&&(this._fullscreenchange=\"MSFullscreenChange\")};Yi.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display=\"none\",t.warnOnce(\"This device does not support fullscreen mode.\")),this._controlContainer},Yi.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},Yi.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},Yi.prototype._setupUI=function(){var e=this._fullscreenButton=r.create(\"button\",\"mapboxgl-ctrl-fullscreen\",this._controlContainer);r.create(\"span\",\"mapboxgl-ctrl-icon\",e).setAttribute(\"aria-hidden\",!0),e.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},Yi.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},Yi.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},Yi.prototype._isFullscreen=function(){return this._fullscreen},Yi.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-fullscreen\"),this._updateTitle())},Yi.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var Wi={closeButton:!0,closeOnClick:!0,className:\"\",maxWidth:\"240px\"},Xi=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(Wi),r),t.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new t.Event(\"open\")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),delete this._map),this.fire(new t.Event(\"close\")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),i=t.window.document.createElement(\"body\");for(i.innerHTML=e;r=i.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){return this._createContent(),this._content.appendChild(t),this._update(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createContent=function(){this._content&&r.remove(this._content),this._content=r.create(\"div\",\"mapboxgl-popup-content\",this._container),this.options.closeButton&&(this._closeButton=r.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.setAttribute(\"aria-label\",\"Close popup\"),this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(e){var n=this,i=this._lngLat||this._trackPointer;if(this._map&&i&&this._content&&(this._container||(this._container=r.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=r.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(\" \").forEach((function(t){return n._container.classList.add(t)})),this._trackPointer&&this._container.classList.add(\"mapboxgl-popup-track-pointer\")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=Oi(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||e)){var a=this._pos=this._trackPointer&&e?e:this._map.project(this._lngLat),o=this.options.anchor,s=function e(r){if(r){if(\"number\"==typeof r){var n=Math.round(Math.sqrt(.5*Math.pow(r,2)));return{center:new t.Point(0,0),top:new t.Point(0,r),\"top-left\":new t.Point(n,n),\"top-right\":new t.Point(-n,n),bottom:new t.Point(0,-r),\"bottom-left\":new t.Point(n,-n),\"bottom-right\":new t.Point(-n,-n),left:new t.Point(r,0),right:new t.Point(-r,0)}}if(r instanceof t.Point||Array.isArray(r)){var i=t.Point.convert(r);return{center:i,top:i,\"top-left\":i,\"top-right\":i,bottom:i,\"bottom-left\":i,\"bottom-right\":i,left:i,right:i}}return{center:t.Point.convert(r.center||[0,0]),top:t.Point.convert(r.top||[0,0]),\"top-left\":t.Point.convert(r[\"top-left\"]||[0,0]),\"top-right\":t.Point.convert(r[\"top-right\"]||[0,0]),bottom:t.Point.convert(r.bottom||[0,0]),\"bottom-left\":t.Point.convert(r[\"bottom-left\"]||[0,0]),\"bottom-right\":t.Point.convert(r[\"bottom-right\"]||[0,0]),left:t.Point.convert(r.left||[0,0]),right:t.Point.convert(r.right||[0,0])}}return e(new t.Point(0,0))}(this.options.offset);if(!o){var l,c=this._container.offsetWidth,u=this._container.offsetHeight;l=a.y+s.bottom.y<u?[\"top\"]:a.y>this._map.transform.height-u?[\"bottom\"]:[],a.x<c/2?l.push(\"left\"):a.x>this._map.transform.width-c/2&&l.push(\"right\"),o=0===l.length?\"bottom\":l.join(\"-\")}var f=a.add(s[o]).round();r.setTransform(this._container,zi[o]+\" translate(\"+f.x+\"px,\"+f.y+\"px)\"),Di(this._container,o,\"popup\")}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);var Zi={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Ei,NavigationControl:Pi,GeolocateControl:Ui,AttributionControl:bi,ScaleControl:Hi,FullscreenControl:Yi,Popup:Xi,Marker:Fi,Style:qe,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){Bt().acquire(zt)},clearPrewarmedResources:function(){var t=Rt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(zt),Rt=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()\"))},get accessToken(){return t.config.ACCESS_TOKEN},set accessToken(e){t.config.ACCESS_TOKEN=e},get baseApiUrl(){return t.config.API_URL},set baseApiUrl(e){t.config.API_URL=e},get workerCount(){return Dt.workerCount},set workerCount(t){Dt.workerCount=t},get maxParallelImageRequests(){return t.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(e){t.config.MAX_PARALLEL_IMAGE_REQUESTS=e},clearStorage:function(e){t.clearTileCache(e)},workerUrl:\"\"};return Zi})),r}))},{}],240:[function(t,e,r){\"use strict\";e.exports=Math.log2||function(t){return Math.log(t)*Math.LOG2E}},{}],241:[function(t,e,r){\"use strict\";e.exports=function(t,e){e||(e=t,t=window);var r=0,i=0,a=0,o={shift:!1,alt:!1,control:!1,meta:!1},s=!1;function l(t){var e=!1;return\"altKey\"in t&&(e=e||t.altKey!==o.alt,o.alt=!!t.altKey),\"shiftKey\"in t&&(e=e||t.shiftKey!==o.shift,o.shift=!!t.shiftKey),\"ctrlKey\"in t&&(e=e||t.ctrlKey!==o.control,o.control=!!t.ctrlKey),\"metaKey\"in t&&(e=e||t.metaKey!==o.meta,o.meta=!!t.metaKey),e}function c(t,s){var c=n.x(s),u=n.y(s);\"buttons\"in s&&(t=0|s.buttons),(t!==r||c!==i||u!==a||l(s))&&(r=0|t,i=c||0,a=u||0,e&&e(r,i,a,o))}function u(t){c(0,t)}function f(){(r||i||a||o.shift||o.alt||o.meta||o.control)&&(i=a=0,r=0,o.shift=o.alt=o.control=o.meta=!1,e&&e(0,0,0,o))}function h(t){l(t)&&e&&e(r,i,a,o)}function p(t){0===n.buttons(t)?c(0,t):c(r,t)}function d(t){c(r|n.buttons(t),t)}function m(t){c(r&~n.buttons(t),t)}function g(){s||(s=!0,t.addEventListener(\"mousemove\",p),t.addEventListener(\"mousedown\",d),t.addEventListener(\"mouseup\",m),t.addEventListener(\"mouseleave\",u),t.addEventListener(\"mouseenter\",u),t.addEventListener(\"mouseout\",u),t.addEventListener(\"mouseover\",u),t.addEventListener(\"blur\",f),t.addEventListener(\"keyup\",h),t.addEventListener(\"keydown\",h),t.addEventListener(\"keypress\",h),t!==window&&(window.addEventListener(\"blur\",f),window.addEventListener(\"keyup\",h),window.addEventListener(\"keydown\",h),window.addEventListener(\"keypress\",h)))}g();var v={element:t};return Object.defineProperties(v,{enabled:{get:function(){return s},set:function(e){e?g():function(){if(!s)return;s=!1,t.removeEventListener(\"mousemove\",p),t.removeEventListener(\"mousedown\",d),t.removeEventListener(\"mouseup\",m),t.removeEventListener(\"mouseleave\",u),t.removeEventListener(\"mouseenter\",u),t.removeEventListener(\"mouseout\",u),t.removeEventListener(\"mouseover\",u),t.removeEventListener(\"blur\",f),t.removeEventListener(\"keyup\",h),t.removeEventListener(\"keydown\",h),t.removeEventListener(\"keypress\",h),t!==window&&(window.removeEventListener(\"blur\",f),window.removeEventListener(\"keyup\",h),window.removeEventListener(\"keydown\",h),window.removeEventListener(\"keypress\",h))}()},enumerable:!0},buttons:{get:function(){return r},enumerable:!0},x:{get:function(){return i},enumerable:!0},y:{get:function(){return a},enumerable:!0},mods:{get:function(){return o},enumerable:!0}}),v};var n=t(\"mouse-event\")},{\"mouse-event\":243}],242:[function(t,e,r){var n={left:0,top:0};e.exports=function(t,e,r){e=e||t.currentTarget||t.srcElement,Array.isArray(r)||(r=[0,0]);var i=t.clientX||0,a=t.clientY||0,o=(s=e,s===window||s===document||s===document.body?n:s.getBoundingClientRect());var s;return r[0]=i-o.left,r[1]=a-o.top,r}},{}],243:[function(t,e,r){\"use strict\";function n(t){return t.target||t.srcElement||window}r.buttons=function(t){if(\"object\"==typeof t){if(\"buttons\"in t)return t.buttons;if(\"which\"in t){if(2===(e=t.which))return 4;if(3===e)return 2;if(e>0)return 1<<e-1}else if(\"button\"in t){var e;if(1===(e=t.button))return 4;if(2===e)return 2;if(e>=0)return 1<<e}}return 0},r.element=n,r.x=function(t){if(\"object\"==typeof t){if(\"offsetX\"in t)return t.offsetX;var e=n(t).getBoundingClientRect();return t.clientX-e.left}return 0},r.y=function(t){if(\"object\"==typeof t){if(\"offsetY\"in t)return t.offsetY;var e=n(t).getBoundingClientRect();return t.clientY-e.top}return 0}},{}],244:[function(t,e,r){\"use strict\";var n=t(\"to-px\");e.exports=function(t,e,r){\"function\"==typeof t&&(r=!!e,e=t,t=window);var i=n(\"ex\",t),a=function(t){r&&t.preventDefault();var n=t.deltaX||0,a=t.deltaY||0,o=t.deltaZ||0,s=1;switch(t.deltaMode){case 1:s=i;break;case 2:s=window.innerHeight}if(a*=s,o*=s,(n*=s)||a||o)return e(n,a,o,t)};return t.addEventListener(\"wheel\",a),a}},{\"to-px\":314}],245:[function(t,e,r){(function(t,r){(function(){\n",
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       "/*\n",
       " * @copyright 2016 Sean Connelly (@voidqk), http://syntheti.cc\n",
       " * @license MIT\n",
       " * @preserve Project Home: https://github.com/voidqk/polybooljs\n",
       " */\n",
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r=0,n=t[t.length-1][0],i=t[t.length-1][1],a=[],o=0;o<t.length;o++){var s=t[o][0],l=t[o][1];a.push([s,l]),r+=l*n-s*i,n=s,i=l}return r<0!==e&&a.reverse(),a.push([a[0][0],a[0][1]]),a}var u=[];function f(t){var e=[c(t.region,!1)];u.push(e);for(var r=0;r<t.children.length;r++)e.push(h(t.children[r]))}function h(t){for(var e=0;e<t.children.length;e++)f(t.children[e]);return c(t.region,!0)}for(s=0;s<a.children.length;s++)f(a.children[s]);return u.length<=0?{type:\"Polygon\",coordinates:[]}:1==u.length?{type:\"Polygon\",coordinates:u[0]}:{type:\"MultiPolygon\",coordinates:u}}};e.exports=n},{}],258:[function(t,e,r){var n=t(\"./linked-list\");e.exports=function(t,e,r){function i(t,e,n){return{id:r?r.segmentId():-1,start:t,end:e,myFill:{above:n.myFill.above,below:n.myFill.below},otherFill:null}}var a=n.create();function o(t,r){a.insertBefore(t,(function(n){return function(t,r,n,i,a,o){var s=e.pointsCompare(r,a);return 0!==s?s:e.pointsSame(n,o)?0:t!==i?t?1:-1:e.pointAboveOrOnLine(n,i?a:o,i?o:a)?1:-1}(t.isStart,t.pt,r,n.isStart,n.pt,n.other.pt)<0}))}function s(t,e){var r=function(t,e){var r=n.node({isStart:!0,pt:t.start,seg:t,primary:e,other:null,status:null});return o(r,t.end),r}(t,e);return function(t,e,r){var i=n.node({isStart:!1,pt:e.end,seg:e,primary:r,other:t,status:null});t.other=i,o(i,t.pt)}(r,t,e),r}function l(t,e){var n=i(e,t.seg.end,t.seg);return function(t,e){r&&r.segmentChop(t.seg,e),t.other.remove(),t.seg.end=e,t.other.pt=e,o(t.other,t.pt)}(t,e),s(n,t.primary)}function c(i,o){var s=n.create();function c(t){return s.findTransition((function(r){var n,i,a,o,s,l;return(n=t,i=r.ev,a=n.seg.start,o=n.seg.end,s=i.seg.start,l=i.seg.end,e.pointsCollinear(a,s,l)?e.pointsCollinear(o,s,l)||e.pointAboveOrOnLine(o,s,l)?1:-1:e.pointAboveOrOnLine(a,s,l)?1:-1)>0}))}function u(t,n){var i=t.seg,a=n.seg,o=i.start,s=i.end,c=a.start,u=a.end;r&&r.checkIntersection(i,a);var f=e.linesIntersect(o,s,c,u);if(!1===f){if(!e.pointsCollinear(o,s,c))return!1;if(e.pointsSame(o,u)||e.pointsSame(s,c))return!1;var h=e.pointsSame(o,c),p=e.pointsSame(s,u);if(h&&p)return n;var d=!h&&e.pointBetween(o,c,u),m=!p&&e.pointBetween(s,c,u);if(h)return m?l(n,s):l(t,u),n;d&&(p||(m?l(n,s):l(t,u)),l(n,o))}else 0===f.alongA&&(-1===f.alongB?l(t,c):0===f.alongB?l(t,f.pt):1===f.alongB&&l(t,u)),0===f.alongB&&(-1===f.alongA?l(n,o):0===f.alongA?l(n,f.pt):1===f.alongA&&l(n,s));return!1}for(var f=[];!a.isEmpty();){var h=a.getHead();if(r&&r.vert(h.pt[0]),h.isStart){r&&r.segmentNew(h.seg,h.primary);var p=c(h),d=p.before?p.before.ev:null,m=p.after?p.after.ev:null;function g(){if(d){var t=u(h,d);if(t)return t}return!!m&&u(h,m)}r&&r.tempStatus(h.seg,!!d&&d.seg,!!m&&m.seg);var v,y=g();if(y){var x;if(t)(x=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below)&&(y.seg.myFill.above=!y.seg.myFill.above);else y.seg.otherFill=h.seg.myFill;r&&r.segmentUpdate(y.seg),h.other.remove(),h.remove()}if(a.getHead()!==h){r&&r.rewind(h.seg);continue}if(t)x=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below,h.seg.myFill.below=m?m.seg.myFill.above:i,h.seg.myFill.above=x?!h.seg.myFill.below:h.seg.myFill.below;else if(null===h.seg.otherFill)v=m?h.primary===m.primary?m.seg.otherFill.above:m.seg.myFill.above:h.primary?o:i,h.seg.otherFill={above:v,below:v};r&&r.status(h.seg,!!d&&d.seg,!!m&&m.seg),h.other.status=p.insert(n.node({ev:h}))}else{var b=h.status;if(null===b)throw new Error(\"PolyBool: Zero-length segment detected; your epsilon is probably too small or too large\");if(s.exists(b.prev)&&s.exists(b.next)&&u(b.prev.ev,b.next.ev),r&&r.statusRemove(b.ev.seg),b.remove(),!h.primary){var _=h.seg.myFill;h.seg.myFill=h.seg.otherFill,h.seg.otherFill=_}f.push(h.seg)}a.getHead().remove()}return r&&r.done(),f}return t?{addRegion:function(t){for(var n,i,a,o=t[t.length-1],l=0;l<t.length;l++){n=o,o=t[l];var c=e.pointsCompare(n,o);0!==c&&s((i=c<0?n:o,a=c<0?o:n,{id:r?r.segmentId():-1,start:i,end:a,myFill:{above:null,below:null},otherFill:null}),!0)}},calculate:function(t){return c(t,!1)}}:{calculate:function(t,e,r,n){return t.forEach((function(t){s(i(t.start,t.end,t),!0)})),r.forEach((function(t){s(i(t.start,t.end,t),!1)})),c(e,n)}}}},{\"./linked-list\":259}],259:[function(t,e,r){e.exports={create:function(){var t={root:{root:!0,next:null},exists:function(e){return null!==e&&e!==t.root},isEmpty:function(){return null===t.root.next},getHead:function(){return t.root.next},insertBefore:function(e,r){for(var n=t.root,i=t.root.next;null!==i;){if(r(i))return e.prev=i.prev,e.next=i,i.prev.next=e,void(i.prev=e);n=i,i=i.next}n.next=e,e.prev=n,e.next=null},findTransition:function(e){for(var r=t.root,n=t.root.next;null!==n&&!e(n);)r=n,n=n.next;return{before:r===t.root?null:r,after:n,insert:function(t){return t.prev=r,t.next=n,r.next=t,null!==n&&(n.prev=t),t}}}};return t},node:function(t){return t.prev=null,t.next=null,t.remove=function(){t.prev.next=t.next,t.next&&(t.next.prev=t.prev),t.prev=null,t.next=null},t}}},{}],260:[function(t,e,r){e.exports=function(t,e,r){var n=[],i=[];return t.forEach((function(t){var a=t.start,o=t.end;if(e.pointsSame(a,o))console.warn(\"PolyBool: Warning: Zero-length segment detected; your epsilon is probably too small or too large\");else{r&&r.chainStart(t);for(var s={index:0,matches_head:!1,matches_pt1:!1},l={index:0,matches_head:!1,matches_pt1:!1},c=s,u=0;u<n.length;u++){var f=(g=n[u])[0],h=(g[1],g[g.length-1]);g[g.length-2];if(e.pointsSame(f,a)){if(k(u,!0,!0))break}else if(e.pointsSame(f,o)){if(k(u,!0,!1))break}else if(e.pointsSame(h,a)){if(k(u,!1,!0))break}else if(e.pointsSame(h,o)&&k(u,!1,!1))break}if(c===s)return n.push([a,o]),void(r&&r.chainNew(a,o));if(c===l){r&&r.chainMatch(s.index);var p=s.index,d=s.matches_pt1?o:a,m=s.matches_head,g=n[p],v=m?g[0]:g[g.length-1],y=m?g[1]:g[g.length-2],x=m?g[g.length-1]:g[0],b=m?g[g.length-2]:g[1];return e.pointsCollinear(y,v,d)&&(m?(r&&r.chainRemoveHead(s.index,d),g.shift()):(r&&r.chainRemoveTail(s.index,d),g.pop()),v=y),e.pointsSame(x,d)?(n.splice(p,1),e.pointsCollinear(b,x,v)&&(m?(r&&r.chainRemoveTail(s.index,v),g.pop()):(r&&r.chainRemoveHead(s.index,v),g.shift())),r&&r.chainClose(s.index),void i.push(g)):void(m?(r&&r.chainAddHead(s.index,d),g.unshift(d)):(r&&r.chainAddTail(s.index,d),g.push(d)))}var _=s.index,w=l.index;r&&r.chainConnect(_,w);var T=n[_].length<n[w].length;s.matches_head?l.matches_head?T?(A(_),M(_,w)):(A(w),M(w,_)):M(w,_):l.matches_head?M(_,w):T?(A(_),M(w,_)):(A(w),M(_,w))}function k(t,e,r){return c.index=t,c.matches_head=e,c.matches_pt1=r,c===s?(c=l,!1):(c=null,!0)}function A(t){r&&r.chainReverse(t),n[t].reverse()}function M(t,i){var a=n[t],o=n[i],s=a[a.length-1],l=a[a.length-2],c=o[0],u=o[1];e.pointsCollinear(l,s,c)&&(r&&r.chainRemoveTail(t,s),a.pop(),s=l),e.pointsCollinear(s,c,u)&&(r&&r.chainRemoveHead(i,c),o.shift()),r&&r.chainJoin(t,i),n[t]=a.concat(o),n.splice(i,1)}})),i}},{}],261:[function(t,e,r){function n(t,e,r){var n=[];return t.forEach((function(t){var i=(t.myFill.above?8:0)+(t.myFill.below?4:0)+(t.otherFill&&t.otherFill.above?2:0)+(t.otherFill&&t.otherFill.below?1:0);0!==e[i]&&n.push({id:r?r.segmentId():-1,start:t.start,end:t.end,myFill:{above:1===e[i],below:2===e[i]},otherFill:null})})),r&&r.selected(n),n}var i={union:function(t,e){return n(t,[0,2,1,0,2,2,0,0,1,0,1,0,0,0,0,0],e)},intersect:function(t,e){return n(t,[0,0,0,0,0,2,0,2,0,0,1,1,0,2,1,0],e)},difference:function(t,e){return n(t,[0,0,0,0,2,0,2,0,1,1,0,0,0,1,2,0],e)},differenceRev:function(t,e){return n(t,[0,2,1,0,0,0,1,1,0,2,0,2,0,0,0,0],e)},xor:function(t,e){return n(t,[0,2,1,0,2,0,0,1,1,0,0,2,0,1,2,0],e)}};e.exports=i},{}],262:[function(t,e,r){\"use strict\";var n=t(\"stream\").Transform,i=t(\"stream-parser\");function a(){n.call(this,{readableObjectMode:!0})}function o(t,e,r){Error.call(this),Error.captureStackTrace?Error.captureStackTrace(this,this.constructor):this.stack=(new Error).stack||\"\",this.name=this.constructor.name,this.message=t,e&&(this.code=e),r&&(this.statusCode=r)}a.prototype=Object.create(n.prototype),a.prototype.constructor=a,i(a.prototype),r.ParserStream=a,r.sliceEq=function(t,e,r){for(var n=e,i=0;i<r.length;)if(t[n++]!==r[i++])return!1;return!0},r.str2arr=function(t,e){var r=[],n=0;if(e&&\"hex\"===e)for(;n<t.length;)r.push(parseInt(t.slice(n,n+2),16)),n+=2;else for(;n<t.length;n++)r.push(255&t.charCodeAt(n));return r},r.readUInt16LE=function(t,e){return t[e]|t[e+1]<<8},r.readUInt16BE=function(t,e){return t[e+1]|t[e]<<8},r.readUInt32LE=function(t,e){return t[e]|t[e+1]<<8|t[e+2]<<16|16777216*t[e+3]},r.readUInt32BE=function(t,e){return t[e+3]|t[e+2]<<8|t[e+1]<<16|16777216*t[e]},o.prototype=Object.create(Error.prototype),o.prototype.constructor=o,r.ProbeError=o},{stream:285,\"stream-parser\":301}],263:[function(t,e,r){\"use strict\";function n(t,e){var r=new Error(t);return r.code=e,r}function i(t){try{return decodeURIComponent(escape(t))}catch(e){return t}}function a(t,e,r){this.input=t.subarray(e,r),this.start=e;var i=String.fromCharCode.apply(null,this.input.subarray(0,4));if(\"II*\\0\"!==i&&\"MM\\0*\"!==i)throw n(\"invalid TIFF signature\",\"EBADDATA\");this.big_endian=\"M\"===i[0]}a.prototype.each=function(t){this.aborted=!1;var e=this.read_uint32(4);for(this.ifds_to_read=[{id:0,offset:e}];this.ifds_to_read.length>0&&!this.aborted;){var r=this.ifds_to_read.shift();r.offset&&this.scan_ifd(r.id,r.offset,t)}},a.prototype.read_uint16=function(t){var e=this.input;if(t+2>e.length)throw n(\"unexpected EOF\",\"EBADDATA\");return this.big_endian?256*e[t]+e[t+1]:e[t]+256*e[t+1]},a.prototype.read_uint32=function(t){var e=this.input;if(t+4>e.length)throw n(\"unexpected EOF\",\"EBADDATA\");return this.big_endian?16777216*e[t]+65536*e[t+1]+256*e[t+2]+e[t+3]:e[t]+256*e[t+1]+65536*e[t+2]+16777216*e[t+3]},a.prototype.is_subifd_link=function(t,e){return 0===t&&34665===e||0===t&&34853===e||34665===t&&40965===e},a.prototype.exif_format_length=function(t){switch(t){case 1:case 2:case 6:case 7:return 1;case 3:case 8:return 2;case 4:case 9:case 11:return 4;case 5:case 10:case 12:return 8;default:return 0}},a.prototype.exif_format_read=function(t,e){var r;switch(t){case 1:case 2:return r=this.input[e];case 6:return(r=this.input[e])|33554430*(128&r);case 3:return r=this.read_uint16(e);case 8:return(r=this.read_uint16(e))|131070*(32768&r);case 4:return r=this.read_uint32(e);case 9:return 0|(r=this.read_uint32(e));case 5:case 10:case 11:case 12:case 7:default:return null}},a.prototype.scan_ifd=function(t,e,r){var a=this.read_uint16(e);e+=2;for(var o=0;o<a;o++){var s=this.read_uint16(e),l=this.read_uint16(e+2),c=this.read_uint32(e+4),u=this.exif_format_length(l),f=c*u,h=f<=4?e+8:this.read_uint32(e+8),p=!1;if(h+f>this.input.length)throw n(\"unexpected EOF\",\"EBADDATA\");for(var d=[],m=h,g=0;g<c;g++,m+=u){var v=this.exif_format_read(l,m);if(null===v){d=null;break}d.push(v)}if(Array.isArray(d)&&2===l&&(d=i(String.fromCharCode.apply(null,d)))&&\"\\0\"===d[d.length-1]&&(d=d.slice(0,-1)),this.is_subifd_link(t,s)&&Array.isArray(d)&&Number.isInteger(d[0])&&d[0]>0&&(this.ifds_to_read.push({id:s,offset:d[0]}),p=!0),!1===r({is_big_endian:this.big_endian,ifd:t,tag:s,format:l,count:c,entry_offset:e+this.start,data_length:f,data_offset:h+this.start,value:d,is_subifd_link:p}))return void(this.aborted=!0);e+=12}0===t&&this.ifds_to_read.push({id:1,offset:this.read_uint32(e)})},e.exports.ExifParser=a,e.exports.get_orientation=function(t){var e=0;try{return new a(t,0,t.length).each((function(t){if(0===t.ifd&&274===t.tag&&Array.isArray(t.value))return e=t.value[0],!1})),e}catch(t){return-1}}},{}],264:[function(t,e,r){\"use strict\";var n=t(\"./common\").readUInt16BE,i=t(\"./common\").readUInt32BE;function a(t,e){if(t.length<4+e)return null;var r=i(t,e);return t.length<r+e||r<8?null:{boxtype:String.fromCharCode.apply(null,t.slice(e+4,e+8)),data:t.slice(e+8,e+r),end:e+r}}function o(t,e){for(var r=0;;){var n=a(t,r);if(!n)break;switch(n.boxtype){case\"ispe\":e.sizes.push({width:i(n.data,4),height:i(n.data,8)});break;case\"irot\":e.transforms.push({type:\"irot\",value:3&n.data[0]});break;case\"imir\":e.transforms.push({type:\"imir\",value:1&n.data[0]})}r=n.end}}function s(t,e,r){for(var n=0,i=0;i<r;i++)n=256*n+(t[e+i]||0);return n}function l(t,e){for(var r=t[4]>>4&15,i=15&t[4],a=t[5]>>4&15,o=n(t,6),l=8,c=0;c<o;c++){var u=n(t,l),f=n(t,l+=2),h=s(t,l+=2,a),p=n(t,l+=a);if(l+=2,0===f&&1===p){var d=s(t,l,r),m=s(t,l+r,i);e.item_loc[u]={length:m,offset:d+h}}l+=p*(r+i)}}function c(t,e){for(var r=n(t,4),i=6,o=0;o<r;o++){var s=a(t,i);if(!s)break;if(\"infe\"===s.boxtype){for(var l=n(s.data,4),c=\"\",u=8;u<s.data.length&&s.data[u];u++)c+=String.fromCharCode(s.data[u]);e.item_inf[c]=l}i=s.end}}function u(t,e){for(var r=0;;){var n=a(t,r);if(!n)break;\"ipco\"===n.boxtype&&o(n.data,e),r=n.end}}e.exports.unbox=a,e.exports.readSizeFromMeta=function(t){var e={sizes:[],transforms:[],item_inf:{},item_loc:{}};if(function(t,e){for(var r=4;;){var n=a(t,r);if(!n)break;\"iprp\"===n.boxtype&&u(n.data,e),\"iloc\"===n.boxtype&&l(n.data,e),\"iinf\"===n.boxtype&&c(n.data,e),r=n.end}}(t,e),e.sizes.length){var r,n,i,o=(r=e.sizes,n=r.reduce((function(t,e){return t.width>e.width||t.width===e.width&&t.height>e.height?t:e})),i=r.reduce((function(t,e){return t.height>e.height||t.height===e.height&&t.width>e.width?t:e})),n.width>i.height||n.width===i.height&&n.height>i.width?n:i),s=1;e.transforms.forEach((function(t){var e={1:6,2:5,3:8,4:7,5:4,6:3,7:2,8:1},r={1:4,2:3,3:2,4:1,5:6,6:5,7:8,8:7};if(\"imir\"===t.type&&(s=0===t.value?r[s]:e[s=e[s=r[s]]]),\"irot\"===t.type)for(var n=0;n<t.value;n++)s=e[s]}));var f=null;return e.item_inf.Exif&&(f=e.item_loc[e.item_inf.Exif]),{width:o.width,height:o.height,orientation:e.transforms.length?s:null,variants:e.sizes,exif_location:f}}},e.exports.getMimeType=function(t){var e=String.fromCharCode.apply(null,t.slice(0,4)),r={};r[e]=!0;for(var 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h=[[1,0,0,1,0,0],[1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,1,0,0],[1,0,0,1,0,0],[1,0,-1,0,0,1],[1,0,-1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,1],[1,0,-1,0,0,1],[-1,0,-1,0,0,1],[-1,0,-1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,1],[-1,0,-1,0,0,1],[0,1,1,0,0,0],[0,1,-1,0,0,0],[0,-1,-1,0,0,0],[0,-1,-1,0,0,0],[0,1,1,0,0,0],[0,-1,1,0,0,0],[0,1,0,-1,1,0],[0,1,0,-1,-1,0],[0,1,0,1,-1,0],[0,1,0,1,1,0],[0,1,0,-1,1,0],[0,1,0,1,-1,0],[0,-1,0,-1,1,0],[0,-1,0,-1,-1,0],[0,-1,0,1,-1,0],[0,-1,0,1,1,0],[0,-1,0,-1,1,0],[0,-1,0,1,-1,0]]},{\"array-bounds\":71,\"color-normalize\":89,\"flatten-vertex-data\":191,\"object-assign\":247,\"pick-by-alias\":253,\"to-float32\":313,\"update-diff\":329}],280:[function(t,e,r){\"use strict\";var n=t(\"color-normalize\"),i=t(\"array-bounds\"),a=t(\"object-assign\"),o=t(\"glslify\"),s=t(\"pick-by-alias\"),l=t(\"flatten-vertex-data\"),c=t(\"earcut\"),u=t(\"array-normalize\"),f=t(\"to-float32\"),h=f.float32,p=f.fract32,d=t(\"es6-weak-map\"),m=t(\"parse-rect\"),g=t(\"array-find-index\");function v(t,e){if(!(this instanceof v))return new v(t,e);if(\"function\"==typeof t?(e||(e={}),e.regl=t):e=t,e.length&&(e.positions=e),!(t=e.regl).hasExtension(\"ANGLE_instanced_arrays\"))throw Error(\"regl-error2d: `ANGLE_instanced_arrays` extension should be enabled\");this.gl=t._gl,this.regl=t,this.passes=[],this.shaders=v.shaders.has(t)?v.shaders.get(t):v.shaders.set(t,v.createShaders(t)).get(t),this.update(e)}e.exports=v,v.dashMult=2,v.maxPatternLength=256,v.precisionThreshold=3e6,v.maxPoints=1e4,v.maxLines=2048,v.shaders=new d,v.createShaders=function(t){var e,r=t.buffer({usage:\"static\",type:\"float\",data:[0,1,0,0,1,1,1,0]}),n={primitive:\"triangle strip\",instances:t.prop(\"count\"),count:4,offset:0,uniforms:{miterMode:function(t,e){return\"round\"===e.join?2:1},miterLimit:t.prop(\"miterLimit\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),thickness:t.prop(\"thickness\"),dashTexture:t.prop(\"dashTexture\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),dashLength:t.prop(\"dashLength\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]},depth:t.prop(\"depth\")},blend:{enable:!0,color:[0,0,0,0],equation:{rgb:\"add\",alpha:\"add\"},func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},depth:{enable:function(t,e){return!e.overlay}},stencil:{enable:!1},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\")},i=t(a({vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, aCoordFract, bCoordFract;\\nattribute vec4 color;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\\n\\t// the order is important\\n\\treturn position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n}\\n\\nvoid main() {\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineOffset = lineTop * 2. - 1.;\\n\\n\\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\\n\\ttangent = normalize(diff * scale * viewport.zw);\\n\\tvec2 normal = vec2(-tangent.y, tangent.x);\\n\\n\\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\\n\\t\\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\\n\\n\\t\\t+ thickness * normal * .5 * lineOffset / viewport.zw;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvoid main() {\\n\\tfloat alpha = 1.;\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:16,divisor:1},color:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1}}},n));try{e=t(a({cull:{enable:!0,face:\"back\"},vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, nextCoord, prevCoord;\\nattribute vec4 aColor, bColor;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, translate;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\nuniform float miterLimit, miterMode;\\n\\nvarying vec4 fragColor;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 tangent;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nconst float REVERSE_THRESHOLD = -.875;\\nconst float MIN_DIFF = 1e-6;\\n\\n// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\\n// TODO: precalculate dot products, normalize things beforehead etc.\\n// TODO: refactor to rectangular algorithm\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nbool isNaN( float val ){\\n  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\\n}\\n\\nvoid main() {\\n\\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\\n\\n  vec2 adjustedScale;\\n  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\\n  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\\n\\n  vec2 scaleRatio = adjustedScale * viewport.zw;\\n\\tvec2 normalWidth = thickness / scaleRatio;\\n\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineBot = 1. - lineTop;\\n\\n\\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\\n\\n\\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\\n\\n\\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\\n\\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\\n\\n\\tvec2 prevDiff = aCoord - prevCoord;\\n\\tvec2 currDiff = bCoord - aCoord;\\n\\tvec2 nextDiff = nextCoord - bCoord;\\n\\n\\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\\n\\tvec2 currTangent = normalize(currDiff * scaleRatio);\\n\\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\\n\\n\\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\\n\\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\\n\\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\\n\\n\\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\\n\\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\\n\\n\\t// collapsed/unidirectional segment cases\\n\\t// FIXME: there should be more elegant solution\\n\\tvec2 prevTanDiff = abs(prevTangent - currTangent);\\n\\tvec2 nextTanDiff = abs(nextTangent - currTangent);\\n\\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\\n\\t\\tstartJoinDirection = currNormal;\\n\\t}\\n\\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\\n\\t\\tendJoinDirection = currNormal;\\n\\t}\\n\\tif (aCoord == bCoord) {\\n\\t\\tendJoinDirection = startJoinDirection;\\n\\t\\tcurrNormal = prevNormal;\\n\\t\\tcurrTangent = prevTangent;\\n\\t}\\n\\n\\ttangent = currTangent;\\n\\n\\t//calculate join shifts relative to normals\\n\\tfloat startJoinShift = dot(currNormal, startJoinDirection);\\n\\tfloat endJoinShift = dot(currNormal, endJoinDirection);\\n\\n\\tfloat startMiterRatio = abs(1. / startJoinShift);\\n\\tfloat endMiterRatio = abs(1. / endJoinShift);\\n\\n\\tvec2 startJoin = startJoinDirection * startMiterRatio;\\n\\tvec2 endJoin = endJoinDirection * endMiterRatio;\\n\\n\\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\\n\\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\\n\\tstartBotJoin = -startTopJoin;\\n\\n\\tendTopJoin = sign(endJoinShift) * endJoin * .5;\\n\\tendBotJoin = -endTopJoin;\\n\\n\\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\\n\\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\\n\\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\\n\\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\\n\\n\\t//miter anti-clipping\\n\\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\\n\\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\\n\\n\\t//prevent close to reverse direction switch\\n\\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\n\\tif (prevReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\\n\\t\\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\tbTopCoord -= normalWidth * endTopJoin;\\n\\t\\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\\n\\t}\\n\\n\\tif (nextReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\\n\\t\\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\taBotCoord -= normalWidth * startBotJoin;\\n\\t\\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\\n\\t}\\n\\n\\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\\n\\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\\n\\n\\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\\n\\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\\n\\n\\t//position is normalized 0..1 coord on the screen\\n\\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\\n\\n\\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\n\\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\\n\\n\\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\\n\\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\\n\\n\\t//bevel miter cutoffs\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n\\n\\t//round miter cutoffs\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id, miterMode;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nvoid main() {\\n\\tfloat alpha = 1., distToStart, distToEnd;\\n\\tfloat cutoff = thickness * .5;\\n\\n\\t//bevel miter\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToStart + 1., 0.), 1.);\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToEnd + 1., 0.), 1.);\\n\\t\\t}\\n\\t}\\n\\n\\t// round miter\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - startCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - endCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * 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t=this,e=[],r=arguments.length;r--;)e[r]=arguments[r];return(e.length?e:this.passes).forEach((function(e,r){var n;if(e&&Array.isArray(e))return(n=t).draw.apply(n,e);\"number\"==typeof e&&(e=t.passes[e]),e&&e.count>1&&e.opacity&&(t.regl._refresh(),e.fill&&e.triangles&&e.triangles.length>2&&t.shaders.fill(e),e.thickness&&(e.scale[0]*e.viewport.width>v.precisionThreshold||e.scale[1]*e.viewport.height>v.precisionThreshold||\"rect\"===e.join||!e.join&&(e.thickness<=2||e.count>=v.maxPoints)?t.shaders.rect(e):t.shaders.miter(e)))})),this},v.prototype.update=function(t){var e=this;if(t){null!=t.length?\"number\"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var r=this.regl,o=this.gl;if(t.forEach((function(t,f){var d=e.passes[f];if(void 0!==t)if(null!==t){if(\"number\"==typeof t[0]&&(t={positions:t}),t=s(t,{positions:\"positions points data coords\",thickness:\"thickness lineWidth lineWidths line-width linewidth width stroke-width strokewidth strokeWidth\",join:\"lineJoin linejoin 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Uint8Array})},t=a({},v.defaults,t)),null!=t.thickness&&(d.thickness=parseFloat(t.thickness)),null!=t.opacity&&(d.opacity=parseFloat(t.opacity)),null!=t.miterLimit&&(d.miterLimit=parseFloat(t.miterLimit)),null!=t.overlay&&(d.overlay=!!t.overlay,f<v.maxLines&&(d.depth=2*(v.maxLines-1-f%v.maxLines)/v.maxLines-1)),null!=t.join&&(d.join=t.join),null!=t.hole&&(d.hole=t.hole),null!=t.fill&&(d.fill=t.fill?n(t.fill,\"uint8\"):null),null!=t.viewport&&(d.viewport=m(t.viewport)),d.viewport||(d.viewport=m([o.drawingBufferWidth,o.drawingBufferHeight])),null!=t.close&&(d.close=t.close),null===t.positions&&(t.positions=[]),t.positions){var y,x;if(t.positions.x&&t.positions.y){var b=t.positions.x,_=t.positions.y;x=d.count=Math.max(b.length,_.length),y=new Float64Array(2*x);for(var w=0;w<x;w++)y[2*w]=b[w],y[2*w+1]=_[w]}else y=l(t.positions,\"float64\"),x=d.count=Math.floor(y.length/2);var T=d.bounds=i(y,2);if(d.fill){for(var k=[],A={},M=0,S=0,E=0,L=d.count;S<L;S++){var C=y[2*S],P=y[2*S+1];isNaN(C)||isNaN(P)||null==C||null==P?(C=y[2*M],P=y[2*M+1],A[S]=M):M=S,k[E++]=C,k[E++]=P}if(t.splitNull){d.count-1 in A||(A[d.count]=d.count-1);var I=Object.keys(A).map(Number).sort((function(t,e){return t-e})),O=[],z=0,D=null!=d.hole?d.hole[0]:null;if(null!=D){var R=g(I,(function(t){return t>=D}));(I=I.slice(0,R)).push(D)}for(var F=function(t){var e=k.slice(2*z,2*I[t]).concat(D?k.slice(2*D):[]),r=(d.hole||[]).map((function(e){return e-D+(I[t]-z)})),n=c(e,r);n=n.map((function(e){return e+z+(e+z<I[t]?0:D-I[t])})),O.push.apply(O,n),z=I[t]+1},B=0;B<I.length;B++)F(B);for(var N=0,j=O.length;N<j;N++)null!=A[O[N]]&&(O[N]=A[O[N]]);d.triangles=O}else{for(var U=c(k,d.hole||[]),V=0,H=U.length;V<H;V++)null!=A[U[V]]&&(U[V]=A[U[V]]);d.triangles=U}}var q=new Float64Array(y);u(q,2,T);var G=new 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at=0;at<t.dashes.length;++at){for(var ot=0,st=t.dashes[at]*v.dashMult*.5;ot<st;++ot)$[rt++]=nt;nt^=255}}d.dashLength=tt,d.dashTexture({channels:1,data:$,width:$.length,height:1,mag:\"linear\",min:\"linear\"},0,0)}if(t.color){var lt=d.count,ct=t.color;ct||(ct=\"transparent\");var ut=new Uint8Array(4*lt+4);if(Array.isArray(ct)&&\"number\"!=typeof ct[0]){for(var ft=0;ft<lt;ft++){var ht=n(ct[ft],\"uint8\");ut.set(ht,4*ft)}ut.set(n(ct[0],\"uint8\"),4*lt)}else for(var pt=n(ct,\"uint8\"),dt=0;dt<lt+1;dt++)ut.set(pt,4*dt);d.colorBuffer({usage:\"dynamic\",type:\"uint8\",data:ut})}}else e.passes[f]=null})),t.length<this.passes.length){for(var f=t.length;f<this.passes.length;f++){var d=this.passes[f];d&&(d.colorBuffer.destroy(),d.positionBuffer.destroy(),d.dashTexture.destroy())}this.passes.length=t.length}for(var y=[],x=0;x<this.passes.length;x++)null!==this.passes[x]&&y.push(this.passes[x]);return this.passes=y,this}},v.prototype.destroy=function(){return 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o={uniforms:{constPointSize:!!e.constPointSize,opacity:t.prop(\"opacity\"),paletteSize:function(t,e){return[r.tooManyColors?0:255,n.height]},pixelRatio:t.context(\"pixelRatio\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translate:t.prop(\"translate\"),translateFract:t.prop(\"translateFract\"),markerTexture:t.prop(\"markerTexture\"),paletteTexture:n},attributes:{x:function(t,e){return e.xAttr||{buffer:e.positionBuffer,stride:8,offset:0}},y:function(t,e){return e.yAttr||{buffer:e.positionBuffer,stride:8,offset:4}},xFract:function(t,e){return e.xAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:0}},yFract:function(t,e){return e.yAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:4}},size:function(t,e){return e.size.length?{buffer:e.sizeBuffer,stride:2,offset:0}:{constant:[Math.round(255*e.size/r.maxSize)]}},borderSize:function(t,e){return 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mix(color, fragColor, colorAmt);\\n    color.a *= opacity;\\n\\n    gl_FragColor = color;\\n  }\\n\\n}\\n\"]),s.vert=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform bool constPointSize;\\nuniform float pixelRatio;\\nuniform vec2 scale, scaleFract, translate, translateFract, paletteSize;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\nconst float borderLevel = .5;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragPointSize, fragBorderRadius, fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = 2. * size * pointSizeScale;\\n  fragPointSize = size * pixelRatio;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragColor = color;\\n  fragBorderColor = borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n\\n  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\\n  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\\n}\"]),this.drawMarker=t(s);var l=f({},o);l.frag=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nuniform float opacity;\\n\\nfloat smoothStep(float edge0, float edge1, float x) {\\n\\tfloat t;\\n\\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\\n\\treturn t * t * (3.0 - 2.0 * t);\\n}\\n\\nvoid main() {\\n\\tfloat radius, alpha = 1.0, delta = fragWidth;\\n\\n\\tradius = length(2.0 * gl_PointCoord.xy - 1.0);\\n\\n\\tif (radius > 1.0 + delta) {\\n\\t\\tdiscard;\\n\\t}\\n\\n\\talpha -= smoothstep(1.0 - delta, 1.0 + delta, radius);\\n\\n\\tfloat borderRadius = fragBorderRadius;\\n\\tfloat ratio = smoothstep(borderRadius - delta, borderRadius + delta, radius);\\n\\tvec4 color = mix(fragColor, fragBorderColor, ratio);\\n\\tcolor.a *= alpha * opacity;\\n\\tgl_FragColor = color;\\n}\\n\"]),l.vert=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform bool constPointSize;\\nuniform float pixelRatio;\\nuniform vec2 paletteSize, scale, scaleFract, translate, translateFract;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = (size + borderSize) * pointSizeScale;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragBorderRadius = 1. - 2. * borderSize / (size + borderSize);\\n  fragColor = color;\\n  fragBorderColor = borderColor.a == 0. || borderSize == 0. ? vec4(color.rgb, 0.) : borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n}\\n\"]),g&&(l.frag=l.frag.replace(\"smoothstep\",\"smoothStep\"),s.frag=s.frag.replace(\"smoothstep\",\"smoothStep\")),this.drawCircle=t(l)}b.defaults={color:\"black\",borderColor:\"transparent\",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4},b.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},b.prototype.draw=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];var i=this.groups;if(1===r.length&&Array.isArray(r[0])&&(null===r[0][0]||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var a=0;a<r.length;a++)this.drawItem(a,r[a]);else i.forEach((function(e,r){t.drawItem(r)}));return this},b.prototype.drawItem=function(t,e){var r=this.groups,n=r[t];if(\"number\"==typeof e&&(t=e,n=r[e],e=null),n&&n.count&&n.opacity){n.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,n,e));for(var a=[],o=1;o<n.activation.length;o++)n.activation[o]&&(!0===n.activation[o]||n.activation[o].data.length)&&a.push.apply(a,i(this.getMarkerDrawOptions(o,n,e)));a.length&&this.drawMarker(a)}},b.prototype.getMarkerDrawOptions=function(t,e,r){var i=e.range,a=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,c=e.count;this.regl;if(!a)return r?[f({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[f({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var u=[],h=a.range(i,{lod:!0,px:[(i[2]-i[0])/o.width,(i[3]-i[1])/o.height]});if(r){for(var p=s[t].data,d=new Uint8Array(c),m=0;m<r.length;m++){var g=r[m];d[g]=p?p[g]:1}l.subdata(d)}for(var v=h.length;v--;){var y=n(h[v],2),x=y[0],b=y[1];u.push(f({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:b-x}))}return u},b.prototype.update=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];if(r.length){1===r.length&&Array.isArray(r[0])&&(r=r[0]);var i=this.groups,a=this.gl,o=this.regl,s=this.maxSize,c=this.maxColors,h=this.palette;this.groups=i=r.map((function(e,r){var n=i[r];if(void 0===e)return n;null===e?e={positions:null}:\"function\"==typeof e?e={ondraw:e}:\"number\"==typeof e[0]&&(e={positions:e}),null===(e=p(e,{positions:\"positions data points\",snap:\"snap cluster lod tree\",size:\"sizes size radius\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",color:\"colors color fill fill-color fillColor\",borderColor:\"borderColors borderColor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range dataBox databox\",viewport:\"viewport viewPort viewBox viewbox\",opacity:\"opacity alpha transparency\",bounds:\"bound bounds boundaries limits\",tooManyColors:\"tooManyColors palette paletteMode optimizePalette enablePalette\"})).positions&&(e.positions=[]),null!=e.tooManyColors&&(t.tooManyColors=e.tooManyColors),n||(i[r]=n={id:r,scale:null,translate:null,scaleFract:null,translateFract:null,activation:[],selectionBuffer:o.buffer({data:new Uint8Array(0),usage:\"stream\",type:\"uint8\"}),sizeBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),colorBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),positionBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"}),positionFractBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"})},e=f({},b.defaults,e)),e.positions&&!(\"marker\"in e)&&(e.marker=n.marker,delete n.marker),e.marker&&!(\"positions\"in e)&&(e.positions=n.positions,delete n.positions);var g=0,x=0;if(d(n,e,[{snap:!0,size:function(t,e){return null==t&&(t=b.defaults.size),g+=t&&t.length?1:0,t},borderSize:function(t,e){return null==t&&(t=b.defaults.borderSize),g+=t&&t.length?1:0,t},opacity:parseFloat,color:function(e,r){return null==e&&(e=b.defaults.color),e=t.updateColor(e),x++,e},borderColor:function(e,r){return null==e&&(e=b.defaults.borderColor),e=t.updateColor(e),x++,e},bounds:function(t,e,r){return\"range\"in r||(r.range=null),t},positions:function(t,e,r){var n=e.snap,i=e.positionBuffer,a=e.positionFractBuffer,s=e.selectionBuffer;if(t.x||t.y)return t.x.length?e.xAttr={buffer:o.buffer(t.x),offset:0,stride:4,count:t.x.length}:e.xAttr={buffer:t.x.buffer,offset:4*t.x.offset||0,stride:4*(t.x.stride||1),count:t.x.count},t.y.length?e.yAttr={buffer:o.buffer(t.y),offset:0,stride:4,count:t.y.length}:e.yAttr={buffer:t.y.buffer,offset:4*t.y.offset||0,stride:4*(t.y.stride||1),count:t.y.count},e.count=Math.max(e.xAttr.count,e.yAttr.count),t;t=m(t,\"float64\");var c=e.count=Math.floor(t.length/2),f=e.bounds=c?l(t,2):null;if(r.range||e.range||(delete e.range,r.range=f),r.marker||e.marker||(delete e.marker,r.marker=null),n&&(!0===n||c>n)?e.tree=u(t,{bounds:f}):n&&n.length&&(e.tree=n),e.tree){var h={primitive:\"points\",usage:\"static\",data:e.tree,type:\"uint32\"};e.elements?e.elements(h):e.elements=o.elements(h)}var p=v.float32(t);return i({data:p,usage:\"dynamic\"}),a({data:v.fract32(t,p),usage:\"dynamic\"}),s({data:new Uint8Array(c),type:\"uint8\",usage:\"stream\"}),t}},{marker:function(e,r,n){var i=r.activation;if(i.forEach((function(t){return t&&t.destroy&&t.destroy()})),i.length=0,e&&\"number\"!=typeof e[0]){for(var a=[],s=0,l=Math.min(e.length,r.count);s<l;s++){var c=t.addMarker(e[s]);a[c]||(a[c]=new Uint8Array(r.count)),a[c][s]=1}for(var u=0;u<a.length;u++)if(a[u]){var f={data:a[u],type:\"uint8\",usage:\"static\"};i[u]?i[u](f):i[u]=o.buffer(f),i[u].data=a[u]}}else{i[t.addMarker(e)]=!0}return e},range:function(t,e,r){var n=e.bounds;if(n)return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=v.fract(e.scale),e.translateFract=v.fract(e.translate),t},viewport:function(t){return y(t||[a.drawingBufferWidth,a.drawingBufferHeight])}}]),g){var _=n,w=_.count,T=_.size,k=_.borderSize,A=_.sizeBuffer,M=new Uint8Array(2*w);if(T.length||k.length)for(var S=0;S<w;S++)M[2*S]=Math.round(255*(null==T[S]?T:T[S])/s),M[2*S+1]=Math.round(255*(null==k[S]?k:k[S])/s);A({data:M,usage:\"dynamic\"})}if(x){var E,L=n,C=L.count,P=L.color,I=L.borderColor,O=L.colorBuffer;if(t.tooManyColors){if(P.length||I.length){E=new Uint8Array(8*C);for(var z=0;z<C;z++){var D=P[z];E[8*z]=h[4*D],E[8*z+1]=h[4*D+1],E[8*z+2]=h[4*D+2],E[8*z+3]=h[4*D+3];var R=I[z];E[8*z+4]=h[4*R],E[8*z+5]=h[4*R+1],E[8*z+6]=h[4*R+2],E[8*z+7]=h[4*R+3]}}}else if(P.length||I.length){E=new Uint8Array(4*C+2);for(var F=0;F<C;F++)null!=P[F]&&(E[4*F]=P[F]%c,E[4*F+1]=Math.floor(P[F]/c)),null!=I[F]&&(E[4*F+2]=I[F]%c,E[4*F+3]=Math.floor(I[F]/c))}O({data:E||new Uint8Array(0),type:\"uint8\",usage:\"dynamic\"})}return n}))}},b.prototype.addMarker=function(t){var e,r=this.markerTextures,n=this.regl,i=this.markerCache,a=null==t?0:i.indexOf(t);if(a>=0)return a;if(t instanceof Uint8Array||t instanceof Uint8ClampedArray)e=t;else{e=new Uint8Array(t.length);for(var o=0,s=t.length;o<s;o++)e[o]=255*t[o]}var l=Math.floor(Math.sqrt(e.length));return a=r.length,i.push(t),r.push(n.texture({channels:1,data:e,radius:l,mag:\"linear\",min:\"linear\"})),a},b.prototype.updateColor=function(t){var e=this.paletteIds,r=this.palette,n=this.maxColors;Array.isArray(t)||(t=[t]);var i=[];if(\"number\"==typeof t[0]){var a=[];if(Array.isArray(t))for(var o=0;o<t.length;o+=4)a.push(t.slice(o,o+4));else for(var l=0;l<t.length;l+=4)a.push(t.subarray(l,l+4));t=a}for(var u=0;u<t.length;u++){var f=t[u];f=s(f,\"uint8\");var h=c(f,!1);if(null==e[h]){var p=r.length;e[h]=Math.floor(p/4),r[p]=f[0],r[p+1]=f[1],r[p+2]=f[2],r[p+3]=f[3]}i[u]=e[h]}return!this.tooManyColors&&r.length>4*n&&(this.tooManyColors=!0),this.updatePalette(r),1===i.length?i[0]:i},b.prototype.updatePalette=function(t){if(!this.tooManyColors){var e=this.maxColors,r=this.paletteTexture,n=Math.ceil(.25*t.length/e);if(n>1)for(var i=.25*(t=t.slice()).length%e;i<n*e;i++)t.push(0,0,0,0);r.height<n&&r.resize(e,n),r.subimage({width:Math.min(.25*t.length,e),height:n,data:t},0,0)}},b.prototype.destroy=function(){return this.groups.forEach((function(t){t.sizeBuffer.destroy(),t.positionBuffer.destroy(),t.positionFractBuffer.destroy(),t.colorBuffer.destroy(),t.activation.forEach((function(t){return t&&t.destroy&&t.destroy()})),t.selectionBuffer.destroy(),t.elements&&t.elements.destroy()})),this.groups.length=0,this.paletteTexture.destroy(),this.markerTextures.forEach((function(t){return t&&t.destroy&&t.destroy()})),this};var _=t(\"object-assign\");e.exports=function(t,e){var r=new x(t,e),n=r.render.bind(r);return _(n,{render:n,update:r.update.bind(r),draw:r.draw.bind(r),destroy:r.destroy.bind(r),regl:r.regl,gl:r.gl,canvas:r.gl.canvas,groups:r.groups,markers:r.markerCache,palette:r.palette}),n}},{\"@plotly/point-cluster\":59,\"array-bounds\":71,\"color-id\":87,\"color-normalize\":89,\"flatten-vertex-data\":191,glslify:227,\"is-iexplorer\":233,\"object-assign\":247,\"parse-rect\":249,\"pick-by-alias\":253,\"to-float32\":313,\"update-diff\":329}],282:[function(t,e,r){\"use strict\";var n=t(\"regl-scatter2d\"),i=t(\"pick-by-alias\"),a=t(\"array-bounds\"),o=t(\"raf\"),s=t(\"array-range\"),l=t(\"parse-rect\"),c=t(\"flatten-vertex-data\");function u(t,e){if(!(this instanceof u))return new u(t,e);this.traces=[],this.passes={},this.regl=t,this.scatter=n(t),this.canvas=this.scatter.canvas}function f(t,e,r){return(null!=t.id?t.id:t)<<16|(255&e)<<8|255&r}function h(t,e,r){var n,i,a,o,s=t[e],l=t[r];return s.length>2?(s[0],s[2],n=s[1],i=s[3]):s.length?(n=s[0],i=s[1]):(s.x,n=s.y,s.x+s.width,i=s.y+s.height),l.length>2?(a=l[0],o=l[2],l[1],l[3]):l.length?(a=l[0],o=l[1]):(a=l.x,l.y,o=l.x+l.width,l.y+l.height),[a,n,o,i]}function p(t){if(\"number\"==typeof t)return[t,t,t,t];if(2===t.length)return[t[0],t[1],t[0],t[1]];var e=l(t);return[e.x,e.y,e.x+e.width,e.y+e.height]}e.exports=u,u.prototype.render=function(){for(var t,e=this,r=[],n=arguments.length;n--;)r[n]=arguments[n];return r.length&&(t=this).update.apply(t,r),this.regl.attributes.preserveDrawingBuffer?this.draw():(this.dirty?null==this.planned&&(this.planned=o((function(){e.draw(),e.dirty=!0,e.planned=null}))):(this.draw(),this.dirty=!0,o((function(){e.dirty=!1}))),this)},u.prototype.update=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=0;n<e.length;n++)this.updateItem(n,e[n]);this.traces=this.traces.filter(Boolean);for(var i=[],a=0,o=0;o<this.traces.length;o++){for(var s=this.traces[o],l=this.traces[o].passes,c=0;c<l.length;c++)i.push(this.passes[l[c]]);s.passOffset=a,a+=s.passes.length}return(t=this.scatter).update.apply(t,i),this}},u.prototype.updateItem=function(t,e){var r=this.regl;if(null===e)return this.traces[t]=null,this;if(!e)return this;var n,o=i(e,{data:\"data items columns rows values dimensions samples x\",snap:\"snap cluster\",size:\"sizes size radius\",color:\"colors color fill fill-color fillColor\",opacity:\"opacity alpha transparency opaque\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",borderColor:\"borderColors borderColor bordercolor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range ranges databox dataBox\",viewport:\"viewport viewBox viewbox\",domain:\"domain domains area areas\",padding:\"pad padding paddings pads margin margins\",transpose:\"transpose transposed\",diagonal:\"diagonal diag showDiagonal\",upper:\"upper up top upperhalf upperHalf showupperhalf showUpper showUpperHalf\",lower:\"lower low bottom lowerhalf lowerHalf showlowerhalf showLowerHalf showLower\"}),s=this.traces[t]||(this.traces[t]={id:t,buffer:r.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array}),color:\"black\",marker:null,size:12,borderColor:\"transparent\",borderSize:1,viewport:l([r._gl.drawingBufferWidth,r._gl.drawingBufferHeight]),padding:[0,0,0,0],opacity:1,diagonal:!0,upper:!0,lower:!0});if(null!=o.color&&(s.color=o.color),null!=o.size&&(s.size=o.size),null!=o.marker&&(s.marker=o.marker),null!=o.borderColor&&(s.borderColor=o.borderColor),null!=o.borderSize&&(s.borderSize=o.borderSize),null!=o.opacity&&(s.opacity=o.opacity),o.viewport&&(s.viewport=l(o.viewport)),null!=o.diagonal&&(s.diagonal=o.diagonal),null!=o.upper&&(s.upper=o.upper),null!=o.lower&&(s.lower=o.lower),o.data){s.buffer(c(o.data)),s.columns=o.data.length,s.count=o.data[0].length,s.bounds=[];for(var u=0;u<s.columns;u++)s.bounds[u]=a(o.data[u],1)}o.range&&(s.range=o.range,n=s.range&&\"number\"!=typeof s.range[0]),o.domain&&(s.domain=o.domain);var d=!1;null!=o.padding&&(Array.isArray(o.padding)&&o.padding.length===s.columns&&\"number\"==typeof o.padding[o.padding.length-1]?(s.padding=o.padding.map(p),d=!0):s.padding=p(o.padding));var m=s.columns,g=s.count,v=s.viewport.width,y=s.viewport.height,x=s.viewport.x,b=s.viewport.y,_=v/m,w=y/m;s.passes=[];for(var T=0;T<m;T++)for(var k=0;k<m;k++)if((s.diagonal||k!==T)&&(s.upper||!(T>k))&&(s.lower||!(T<k))){var A=f(s.id,T,k),M=this.passes[A]||(this.passes[A]={});if(o.data&&(o.transpose?M.positions={x:{buffer:s.buffer,offset:k,count:g,stride:m},y:{buffer:s.buffer,offset:T,count:g,stride:m}}:M.positions={x:{buffer:s.buffer,offset:k*g,count:g},y:{buffer:s.buffer,offset:T*g,count:g}},M.bounds=h(s.bounds,T,k)),o.domain||o.viewport||o.data){var S=d?h(s.padding,T,k):s.padding;if(s.domain){var E=h(s.domain,T,k),L=E[0],C=E[1],P=E[2],I=E[3];M.viewport=[x+L*v+S[0],b+C*y+S[1],x+P*v-S[2],b+I*y-S[3]]}else M.viewport=[x+k*_+_*S[0],b+T*w+w*S[1],x+(k+1)*_-_*S[2],b+(T+1)*w-w*S[3]]}o.color&&(M.color=s.color),o.size&&(M.size=s.size),o.marker&&(M.marker=s.marker),o.borderSize&&(M.borderSize=s.borderSize),o.borderColor&&(M.borderColor=s.borderColor),o.opacity&&(M.opacity=s.opacity),o.range&&(M.range=n?h(s.range,T,k):s.range||M.bounds),s.passes.push(A)}return this},u.prototype.draw=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=[],i=0;i<e.length;i++)if(\"number\"==typeof e[i]){var a=this.traces[e[i]],o=a.passes,l=a.passOffset;n.push.apply(n,s(l,l+o.length))}else if(e[i].length){var c=e[i],u=this.traces[i],f=u.passes,h=u.passOffset;f=f.map((function(t,e){n[h+e]=c}))}(t=this.scatter).draw.apply(t,n)}else this.scatter.draw();return this},u.prototype.destroy=function(){return 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()+(e.year()<0?1:0))%4==3||t%4==-1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return(t=i.year())<0&&t++,i.day()+30*(i.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return 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e=Math.floor(t/400)+1;t-=400*(e-1),t+=t>15?16:0;var r=Math.floor(t/32)+1,n=t-32*(r-1)+1;return this.newDate(e<=0?e-1:e,r,n)}});var o={20:\"Fruitbat\",21:\"Anchovy\"};n.calendars.discworld=a},{\"../main\":346,\"object-assign\":247}],335:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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i=this._validate(t,e,r,n.local.invalidDate);return{yearType:(this.leapYear(i)?\"embolismic\":\"common\")+\" \"+[\"deficient\",\"regular\",\"complete\"][this.daysInYear(i)%10-3]}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t<=0?t+1:t,o=this.jdEpoch+this._delay1(a)+this._delay2(a)+r+1;if(e<7){for(var s=7;s<=this.monthsInYear(t);s++)o+=this.daysInMonth(t,s);for(s=1;s<e;s++)o+=this.daysInMonth(t,s)}else for(s=7;s<e;s++)o+=this.daysInMonth(t,s);return o},_delay1:function(t){var e=Math.floor((235*t-234)/19),r=12084+13753*e,n=29*e+Math.floor(r/25920);return o(3*(n+1),7)<3&&n++,n},_delay2:function(t){var e=this._delay1(t-1),r=this._delay1(t);return this._delay1(t+1)-r==356?2:r-e==382?1:0},fromJD:function(t){t=Math.floor(t)+.5;for(var e=Math.floor(98496*(t-this.jdEpoch)/35975351)-1;t>=this.toJD(-1===e?1:e+1,7,1);)e++;for(var r=t<this.toJD(e,1,1)?7:1;t>this.toJD(e,r,this.daysInMonth(e,r));)r++;var n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.hebrew=a},{\"../main\":346,\"object-assign\":247}],337:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Islamic\",jdEpoch:1948439.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Islamic\",epochs:[\"BH\",\"AH\"],monthNames:[\"Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' al-thani\",\"Jumada al-awwal\",\"Jumada al-thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-ahad\",\"Yawm al-ithnayn\",\"Yawm ath-thulaathaa'\",\"Yawm al-arbi'aa'\",\"Yawm al-kham\\u012bs\",\"Yawm al-jum'a\",\"Yawm as-sabt\"],dayNamesShort:[\"Aha\",\"Ith\",\"Thu\",\"Arb\",\"Kha\",\"Jum\",\"Sab\"],dayNamesMin:[\"Ah\",\"It\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!1}},leapYear:function(t){return(11*this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year()+14)%30<11},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return this.leapYear(t)?355:354},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),t=t<=0?t+1:t,(r=i.day())+Math.ceil(29.5*(e-1))+354*(t-1)+Math.floor((3+11*t)/30)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t)+.5;var e=Math.floor((30*(t-this.jdEpoch)+10646)/10631);e=e<=0?e-1:e;var r=Math.min(12,Math.ceil((t-29-this.toJD(e,1,1))/29.5)+1),n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.islamic=a},{\"../main\":346,\"object-assign\":247}],338:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Julian\",jdEpoch:1721423.5,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Julian\",epochs:[\"BC\",\"AD\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"mm/dd/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()<0?e.year()+1:e.year())%4==0},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),r=i.day(),t<0&&t++,e<=2&&(t--,e+=12),Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r-1524.5},fromJD:function(t){var e=Math.floor(t+.5)+1524,r=Math.floor((e-122.1)/365.25),n=Math.floor(365.25*r),i=Math.floor((e-n)/30.6001),a=i-Math.floor(i<14?1:13),o=r-Math.floor(a>2?4716:4715),s=e-n-Math.floor(30.6001*i);return o<=0&&o--,this.newDate(o,a,s)}}),n.calendars.julian=a},{\"../main\":346,\"object-assign\":247}],339:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}function s(t,e){return o(t-1,e)+1}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Mayan\",jdEpoch:584282.5,hasYearZero:!0,minMonth:0,firstMonth:0,minDay:0,regionalOptions:{\"\":{name:\"Mayan\",epochs:[\"\",\"\"],monthNames:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\"],monthNamesShort:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\"],dayNames:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],dayNamesShort:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],dayNamesMin:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],digits:null,dateFormat:\"YYYY.m.d\",firstDay:0,isRTL:!1,haabMonths:[\"Pop\",\"Uo\",\"Zip\",\"Zotz\",\"Tzec\",\"Xul\",\"Yaxkin\",\"Mol\",\"Chen\",\"Yax\",\"Zac\",\"Ceh\",\"Mac\",\"Kankin\",\"Muan\",\"Pax\",\"Kayab\",\"Cumku\",\"Uayeb\"],tzolkinMonths:[\"Imix\",\"Ik\",\"Akbal\",\"Kan\",\"Chicchan\",\"Cimi\",\"Manik\",\"Lamat\",\"Muluc\",\"Oc\",\"Chuen\",\"Eb\",\"Ben\",\"Ix\",\"Men\",\"Cib\",\"Caban\",\"Etznab\",\"Cauac\",\"Ahau\"]}},leapYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+\".\"+Math.floor(t/20)+\".\"+t%20},forYear:function(t){if((t=t.split(\".\")).length<3)throw\"Invalid Mayan year\";for(var e=0,r=0;r<t.length;r++){var n=parseInt(t[r],10);if(Math.abs(n)>19||r>0&&n<0)throw\"Invalid Mayan year\";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),!0},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate).toJD(),a=this._toHaab(i),o=this._toTzolkin(i);return{haabMonthName:this.local.haabMonths[a[0]-1],haabMonth:a[0],haabDay:a[1],tzolkinDayName:this.local.tzolkinMonths[o[0]-1],tzolkinDay:o[0],tzolkinTrecena:o[1]}},_toHaab:function(t){var e=o((t-=this.jdEpoch)+8+340,365);return[Math.floor(e/20)+1,o(e,20)]},_toTzolkin:function(t){return[s((t-=this.jdEpoch)+20,20),s(t+4,13)]},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return i.day()+20*i.month()+360*i.year()+this.jdEpoch},fromJD:function(t){t=Math.floor(t)+.5-this.jdEpoch;var e=Math.floor(t/360);t%=360,t+=t<0?360:0;var r=Math.floor(t/20),n=t%20;return this.newDate(e,r,n)}}),n.calendars.mayan=a},{\"../main\":346,\"object-assign\":247}],340:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar;var o=n.instance(\"gregorian\");i(a.prototype,{name:\"Nanakshahi\",jdEpoch:2257673.5,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Nanakshahi\",epochs:[\"BN\",\"AN\"],monthNames:[\"Chet\",\"Vaisakh\",\"Jeth\",\"Harh\",\"Sawan\",\"Bhadon\",\"Assu\",\"Katak\",\"Maghar\",\"Poh\",\"Magh\",\"Phagun\"],monthNamesShort:[\"Che\",\"Vai\",\"Jet\",\"Har\",\"Saw\",\"Bha\",\"Ass\",\"Kat\",\"Mgr\",\"Poh\",\"Mgh\",\"Pha\"],dayNames:[\"Somvaar\",\"Mangalvar\",\"Budhvaar\",\"Veervaar\",\"Shukarvaar\",\"Sanicharvaar\",\"Etvaar\"],dayNamesShort:[\"Som\",\"Mangal\",\"Budh\",\"Veer\",\"Shukar\",\"Sanichar\",\"Et\"],dayNamesMin:[\"So\",\"Ma\",\"Bu\",\"Ve\",\"Sh\",\"Sa\",\"Et\"],digits:null,dateFormat:\"dd-mm-yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear);return o.leapYear(e.year()+(e.year()<1?1:0)+1469)},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(1-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidMonth);(t=i.year())<0&&t++;for(var a=i.day(),s=1;s<i.month();s++)a+=this.daysPerMonth[s-1];return a+o.toJD(t+1468,3,13)},fromJD:function(t){t=Math.floor(t+.5);for(var e=Math.floor((t-(this.jdEpoch-1))/366);t>=this.toJD(e+1,1,1);)e++;for(var r=t-Math.floor(this.toJD(e,1,1)+.5)+1,n=1;r>this.daysInMonth(e,n);)r-=this.daysInMonth(e,n),n++;return this.newDate(e,n,r)}}),n.calendars.nanakshahi=a},{\"../main\":346,\"object-assign\":247}],341:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Nepali\",jdEpoch:1700709.5,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{\"\":{name:\"Nepali\",epochs:[\"BBS\",\"ABS\"],monthNames:[\"Baisakh\",\"Jestha\",\"Ashadh\",\"Shrawan\",\"Bhadra\",\"Ashwin\",\"Kartik\",\"Mangsir\",\"Paush\",\"Mangh\",\"Falgun\",\"Chaitra\"],monthNamesShort:[\"Bai\",\"Je\",\"As\",\"Shra\",\"Bha\",\"Ash\",\"Kar\",\"Mang\",\"Pau\",\"Ma\",\"Fal\",\"Chai\"],dayNames:[\"Aaitabaar\",\"Sombaar\",\"Manglbaar\",\"Budhabaar\",\"Bihibaar\",\"Shukrabaar\",\"Shanibaar\"],dayNamesShort:[\"Aaita\",\"Som\",\"Mangl\",\"Budha\",\"Bihi\",\"Shukra\",\"Shani\"],dayNamesMin:[\"Aai\",\"So\",\"Man\",\"Bu\",\"Bi\",\"Shu\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:1,isRTL:!1}},leapYear:function(t){return this.daysInYear(t)!==this.daysPerYear},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){if(t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),void 0===this.NEPALI_CALENDAR_DATA[t])return this.daysPerYear;for(var e=0,r=this.minMonth;r<=12;r++)e+=this.NEPALI_CALENDAR_DATA[t][r];return e},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),void 0===this.NEPALI_CALENDAR_DATA[t]?this.daysPerMonth[e-1]:this.NEPALI_CALENDAR_DATA[t][e]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=n.instance(),o=0,s=e,l=t;this._createMissingCalendarData(t);var c=t-(s>9||9===s&&r>=this.NEPALI_CALENDAR_DATA[l][0]?56:57);for(9!==e&&(o=r,s--);9!==s;)s<=0&&(s=12,l--),o+=this.NEPALI_CALENDAR_DATA[l][s],s--;return 9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=a.daysInYear(c)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(c,1,1).add(o,\"d\").toJD()},fromJD:function(t){var e=n.instance().fromJD(t),r=e.year(),i=e.dayOfYear(),a=r+56;this._createMissingCalendarData(a);for(var o=9,s=this.NEPALI_CALENDAR_DATA[a][0],l=this.NEPALI_CALENDAR_DATA[a][o]-s+1;i>l;)++o>12&&(o=1,a++),l+=this.NEPALI_CALENDAR_DATA[a][o];var c=this.NEPALI_CALENDAR_DATA[a][o]-(l-i);return this.newDate(a,o,c)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)void 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 682*((e.year()-(e.year()>0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t-(t>=0?474:473),s=474+o(a,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(a/2820)+this.jdEpoch-1},fromJD:function(t){var e=(t=Math.floor(t)+.5)-this.toJD(475,1,1),r=Math.floor(e/1029983),n=o(e,1029983),i=2820;if(1029982!==n){var a=Math.floor(n/366),s=o(n,366);i=Math.floor((2134*a+2816*s+2815)/1028522)+a+1}var l=i+2820*r+474;l=l<=0?l-1:l;var 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i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(i.year());return a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(i.year());return a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)},_g2tYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)}}),n.calendars.taiwan=o},{\"../main\":346,\"object-assign\":247}],344:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\"),a=n.instance();function 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(e.year());return a.leapYear(t)},weekOfYear:function(t,e,r){var i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(i.year());return a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(i.year());return a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)},_g2tYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)}}),n.calendars.thai=o},{\"../main\":346,\"object-assign\":247}],345:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"UmmAlQura\",hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Umm al-Qura\",epochs:[\"BH\",\"AH\"],monthNames:[\"Al-Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' Al-Thani\",\"Jumada Al-Awwal\",\"Jumada Al-Thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-Ahad\",\"Yawm al-Ithnain\",\"Yawm al-Thal\\u0101th\\u0101\\u2019\",\"Yawm al-Arba\\u2018\\u0101\\u2019\",\"Yawm al-Kham\\u012bs\",\"Yawm al-Jum\\u2018a\",\"Yawm al-Sabt\"],dayNamesMin:[\"Ah\",\"Ith\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!0}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 355===this.daysInYear(e.year())},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){for(var e=0,r=1;r<=12;r++)e+=this.daysInMonth(t,r);return e},daysInMonth:function(t,e){for(var r=this._validate(t,e,this.minDay,n.local.invalidMonth).toJD()-24e5+.5,i=0,a=0;a<o.length;a++){if(o[a]>r)return o[i]-o[i-1];i++}return 30},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate),a=12*(i.year()-1)+i.month()-15292;return i.day()+o[a-1]-1+24e5-.5},fromJD:function(t){for(var e=t-24e5+.5,r=0,n=0;n<o.length&&!(o[n]>e);n++)r++;var i=r+15292,a=Math.floor((i-1)/12),s=a+1,l=i-12*a,c=e-o[r-1]+1;return this.newDate(s,l,c)},isValid:function(t,e,r){var i=n.baseCalendar.prototype.isValid.apply(this,arguments);return i&&(i=(t=null!=t.year?t.year:t)>=1276&&t<=1500),i},_validate:function(t,e,r,i){var a=n.baseCalendar.prototype._validate.apply(this,arguments);if(a.year<1276||a.year>1500)throw i.replace(/\\{0\\}/,this.local.name);return a}}),n.calendars.ummalqura=a;var 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n=t(\"object-assign\");function i(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function o(t,e){return\"000000\".substring(0,e-(t=\"\"+t).length)+t}function s(){this.shortYearCutoff=\"+10\"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}n(i.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,i){return(n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,i):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+\"\").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",i=0;r>0;){var a=r%10;n=(0===a?\"\":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(a.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(c.local.differentCalendars||c.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+o(Math.abs(this.year()),4)+\"-\"+o(this.month(),2)+\"-\"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,\"d\"===r||\"w\"===r){var n=t.toJD()+e*(\"w\"===r?this.daysInWeek():1),i=t.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=t.year()+(\"y\"===r?e:0),o=t.monthOfYear()+(\"m\"===r?e:0);i=t.day();\"y\"===r?(t.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):\"m\"===r&&(!function(t){for(;o<t.minMonth;)a--,o+=t.monthsInYear(a);for(var e=t.monthsInYear(a);o>e-1+t.minMonth;)a++,o-=e,e=t.monthsInYear(a)}(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var s=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,s}catch(t){throw 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r,s,l=o(t,e),c=l.on,u=l.off.concat(l.explicitOff),f={},h=t._fullLayout.annotations;if(!c.length&&!u.length)return;for(r=0;r<c.length;r++)(s=a(t.layout,\"annotations\",h[c[r]])).modifyItem(\"visible\",!0),n.extendFlat(f,s.getUpdateObj());for(r=0;r<u.length;r++)(s=a(t.layout,\"annotations\",h[u[r]])).modifyItem(\"visible\",!1),n.extendFlat(f,s.getUpdateObj());return i.call(\"update\",t,{},f)}}},{\"../../lib\":503,\"../../plot_api/plot_template\":543,\"../../registry\":638}],352:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../color\");e.exports=function(t,e,r,a){a(\"opacity\");var o=a(\"bgcolor\"),s=a(\"bordercolor\"),l=i.opacity(s);a(\"borderpad\");var c=a(\"borderwidth\"),u=a(\"showarrow\");if(a(\"text\",u?\" \":r._dfltTitle.annotation),a(\"textangle\"),n.coerceFont(a,\"font\",r.font),a(\"width\"),a(\"align\"),a(\"height\")&&a(\"valign\"),u){var f,h,p=a(\"arrowside\");-1!==p.indexOf(\"end\")&&(f=a(\"arrowhead\"),h=a(\"arrowsize\")),-1!==p.indexOf(\"start\")&&(a(\"startarrowhead\",f),a(\"startarrowsize\",h)),a(\"arrowcolor\",l?e.bordercolor:i.defaultLine),a(\"arrowwidth\",2*(l&&c||1)),a(\"standoff\"),a(\"startstandoff\")}var d=a(\"hovertext\"),m=r.hoverlabel||{};if(d){var g=a(\"hoverlabel.bgcolor\",m.bgcolor||(i.opacity(o)?i.rgb(o):i.defaultLine)),v=a(\"hoverlabel.bordercolor\",m.bordercolor||i.contrast(g));n.coerceFont(a,\"hoverlabel.font\",{family:m.font.family,size:m.font.size,color:m.font.color||v})}a(\"captureevents\",!!d)}},{\"../../lib\":503,\"../color\":366}],353:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib/to_log_range\");e.exports=function(t,e,r,a){e=e||{};var o=\"log\"===r&&\"linear\"===e.type,s=\"linear\"===r&&\"log\"===e.type;if(o||s)for(var l,c,u=t._fullLayout.annotations,f=e._id.charAt(0),h=0;h<u.length;h++)l=u[h],c=\"annotations[\"+h+\"].\",l[f+\"ref\"]===e._id&&p(f),l[\"a\"+f+\"ref\"]===e._id&&p(\"a\"+f);function p(t){var r=l[t],s=null;s=o?i(r,e.range):Math.pow(10,r),n(s)||(s=null),a(c+t,s)}}},{\"../../lib/to_log_range\":531,\"fast-isnumeric\":190}],354:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../plots/cartesian/axes\"),a=t(\"../../plots/array_container_defaults\"),o=t(\"./common_defaults\"),s=t(\"./attributes\");function l(t,e,r){function a(r,i){return n.coerce(t,e,s,r,i)}var l=a(\"visible\"),c=a(\"clicktoshow\");if(l||c){o(t,e,r,a);for(var u=e.showarrow,f=[\"x\",\"y\"],h=[-10,-30],p={_fullLayout:r},d=0;d<2;d++){var m=f[d],g=i.coerceRef(t,e,p,m,\"\",\"paper\");if(\"paper\"!==g)i.getFromId(p,g)._annIndices.push(e._index);if(i.coercePosition(e,p,a,g,m,.5),u){var v=\"a\"+m,y=i.coerceRef(t,e,p,v,\"pixel\",[\"pixel\",\"paper\"]);\"pixel\"!==y&&y!==g&&(y=e[v]=\"pixel\");var 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r=t._fullLayout.annotations[e]||{},n=l.getFromId(t,r.xref),i=l.getFromId(t,r.yref);n&&n.setScale(),i&&i.setScale(),x(t,r,e,!1,n,i)}function y(t,e,r,n,i){var a=i[r],o=i[r+\"ref\"],s=-1!==r.indexOf(\"y\"),c=\"domain\"===l.getRefType(o),u=s?n.h:n.w;return t?c?a+(s?-e:e)/t._length:t.p2r(t.r2p(a)+e):a+(s?-e:e)/u}function x(t,e,r,a,v,x){var b,_,w=t._fullLayout,T=t._fullLayout._size,k=t._context.edits;a?(b=\"annotation-\"+a,_=a+\".annotations\"):(b=\"annotation\",_=\"annotations\");var A=m(t.layout,_,e),M=A.modifyBase,S=A.modifyItem,E=A.getUpdateObj;w._infolayer.selectAll(\".\"+b+'[data-index=\"'+r+'\"]').remove();var L=\"clip\"+w._uid+\"_ann\"+r;if(e._input&&!1!==e.visible){var C={x:{},y:{}},P=+e.textangle||0,I=w._infolayer.append(\"g\").classed(b,!0).attr(\"data-index\",String(r)).style(\"opacity\",e.opacity),O=I.append(\"g\").classed(\"annotation-text-g\",!0),z=k[e.showarrow?\"annotationTail\":\"annotationPosition\"],D=e.captureevents||k.annotationText||z,R=O.append(\"g\").style(\"pointer-events\",D?\"all\":null).call(p,\"pointer\").on(\"click\",(function(){t._dragging=!1,t.emit(\"plotly_clickannotation\",Y(n.event))}));e.hovertext&&R.on(\"mouseover\",(function(){var r=e.hoverlabel,n=r.font,i=this.getBoundingClientRect(),a=t.getBoundingClientRect();f.loneHover({x0:i.left-a.left,x1:i.right-a.left,y:(i.top+i.bottom)/2-a.top,text:e.hovertext,color:r.bgcolor,borderColor:r.bordercolor,fontFamily:n.family,fontSize:n.size,fontColor:n.color},{container:w._hoverlayer.node(),outerContainer:w._paper.node(),gd:t})})).on(\"mouseout\",(function(){f.loneUnhover(w._hoverlayer.node())}));var F=e.borderwidth,B=e.borderpad,N=F+B,j=R.append(\"rect\").attr(\"class\",\"bg\").style(\"stroke-width\",F+\"px\").call(c.stroke,e.bordercolor).call(c.fill,e.bgcolor),U=e.width||e.height,V=w._topclips.selectAll(\"#\"+L).data(U?[0]:[]);V.enter().append(\"clipPath\").classed(\"annclip\",!0).attr(\"id\",L).append(\"rect\"),V.exit().remove();var H=e.font,q=w._meta?o.templateString(e.text,w._meta):e.text,G=R.append(\"text\").classed(\"annotation-text\",!0).text(q);k.annotationText?G.call(h.makeEditable,{delegate:R,gd:t}).call(W).on(\"edit\",(function(r){e.text=r,this.call(W),S(\"text\",r),v&&v.autorange&&M(v._name+\".autorange\",!0),x&&x.autorange&&M(x._name+\".autorange\",!0),i.call(\"_guiRelayout\",t,E())})):G.call(W)}else n.selectAll(\"#\"+L).remove();function Y(t){var n={index:r,annotation:e._input,fullAnnotation:e,event:t};return a&&(n.subplotId=a),n}function W(r){return r.call(u.font,H).attr({\"text-anchor\":{left:\"start\",right:\"end\"}[e.align]||\"middle\"}),h.convertToTspans(r,t,X),r}function X(){var r=G.selectAll(\"a\");1===r.size()&&r.text()===G.text()&&R.insert(\"a\",\":first-child\").attr({\"xlink:xlink:href\":r.attr(\"xlink:href\"),\"xlink:xlink:show\":r.attr(\"xlink:show\")}).style({cursor:\"pointer\"}).node().appendChild(j.node());var n=R.select(\".annotation-text-math-group\"),f=!n.empty(),m=u.bBox((f?n:G).node()),b=m.width,_=m.height,A=e.width||b,D=e.height||_,B=Math.round(A+2*N),H=Math.round(D+2*N);function q(t,e){return\"auto\"===e&&(e=t<1/3?\"left\":t>2/3?\"right\":\"center\"),{center:0,middle:0,left:.5,bottom:-.5,right:-.5,top:.5}[e]}for(var W=!1,X=[\"x\",\"y\"],Z=0;Z<X.length;Z++){var J,K,Q,$,tt,et=X[Z],rt=e[et+\"ref\"]||et,nt=e[\"a\"+et+\"ref\"],it={x:v,y:x}[et],at=(P+(\"x\"===et?0:-90))*Math.PI/180,ot=B*Math.cos(at),st=H*Math.sin(at),lt=Math.abs(ot)+Math.abs(st),ct=e[et+\"anchor\"],ut=e[et+\"shift\"]*(\"x\"===et?1:-1),ft=C[et],ht=l.getRefType(rt);if(it&&\"domain\"!==ht){var pt=it.r2fraction(e[et]);(pt<0||pt>1)&&(nt===rt?((pt=it.r2fraction(e[\"a\"+et]))<0||pt>1)&&(W=!0):W=!0),J=it._offset+it.r2p(e[et]),$=.5}else{var dt=\"domain\"===ht;\"x\"===et?(Q=e[et],J=dt?it._offset+it._length*Q:J=T.l+T.w*Q):(Q=1-e[et],J=dt?it._offset+it._length*Q:J=T.t+T.h*Q),$=e.showarrow?.5:Q}if(e.showarrow){ft.head=J;var mt=e[\"a\"+et];if(tt=ot*q(.5,e.xanchor)-st*q(.5,e.yanchor),nt===rt){var gt=l.getRefType(nt);\"domain\"===gt?(\"y\"===et&&(mt=1-mt),ft.tail=it._offset+it._length*mt):\"paper\"===gt?\"y\"===et?(mt=1-mt,ft.tail=T.t+T.h*mt):ft.tail=T.l+T.w*mt:ft.tail=it._offset+it.r2p(mt),K=tt}else ft.tail=J+mt,K=tt+mt;ft.text=ft.tail+tt;var vt=w[\"x\"===et?\"width\":\"height\"];if(\"paper\"===rt&&(ft.head=o.constrain(ft.head,1,vt-1)),\"pixel\"===nt){var yt=-Math.max(ft.tail-3,ft.text),xt=Math.min(ft.tail+3,ft.text)-vt;yt>0?(ft.tail+=yt,ft.text+=yt):xt>0&&(ft.tail-=xt,ft.text-=xt)}ft.tail+=ut,ft.head+=ut}else K=tt=lt*q($,ct),ft.text=J+tt;ft.text+=ut,tt+=ut,K+=ut,e[\"_\"+et+\"padplus\"]=lt/2+K,e[\"_\"+et+\"padminus\"]=lt/2-K,e[\"_\"+et+\"size\"]=lt,e[\"_\"+et+\"shift\"]=tt}if(W)R.remove();else{var bt=0,_t=0;if(\"left\"!==e.align&&(bt=(A-b)*(\"center\"===e.align?.5:1)),\"top\"!==e.valign&&(_t=(D-_)*(\"middle\"===e.valign?.5:1)),f)n.select(\"svg\").attr({x:N+bt-1,y:N+_t}).call(u.setClipUrl,U?L:null,t);else{var wt=N+_t-m.top,Tt=N+bt-m.left;G.call(h.positionText,Tt,wt).call(u.setClipUrl,U?L:null,t)}V.select(\"rect\").call(u.setRect,N,N,A,D),j.call(u.setRect,F/2,F/2,B-F,H-F),R.call(u.setTranslate,Math.round(C.x.text-B/2),Math.round(C.y.text-H/2)),O.attr({transform:\"rotate(\"+P+\",\"+C.x.text+\",\"+C.y.text+\")\"});var kt,At=function(r,n){I.selectAll(\".annotation-arrow-g\").remove();var l=C.x.head,f=C.y.head,h=C.x.tail+r,p=C.y.tail+n,m=C.x.text+r,b=C.y.text+n,_=o.rotationXYMatrix(P,m,b),w=o.apply2DTransform(_),A=o.apply2DTransform2(_),L=+j.attr(\"width\"),z=+j.attr(\"height\"),D=m-.5*L,F=D+L,B=b-.5*z,N=B+z,U=[[D,B,D,N],[D,N,F,N],[F,N,F,B],[F,B,D,B]].map(A);if(!U.reduce((function(t,e){return t^!!o.segmentsIntersect(l,f,l+1e6,f+1e6,e[0],e[1],e[2],e[3])}),!1)){U.forEach((function(t){var e=o.segmentsIntersect(h,p,l,f,t[0],t[1],t[2],t[3]);e&&(h=e.x,p=e.y)}));var V=e.arrowwidth,H=e.arrowcolor,q=e.arrowside,G=I.append(\"g\").style({opacity:c.opacity(H)}).classed(\"annotation-arrow-g\",!0),Y=G.append(\"path\").attr(\"d\",\"M\"+h+\",\"+p+\"L\"+l+\",\"+f).style(\"stroke-width\",V+\"px\").call(c.stroke,c.rgb(H));if(g(Y,q,e),k.annotationPosition&&Y.node().parentNode&&!a){var W=l,X=f;if(e.standoff){var Z=Math.sqrt(Math.pow(l-h,2)+Math.pow(f-p,2));W+=e.standoff*(h-l)/Z,X+=e.standoff*(p-f)/Z}var J,K,Q=G.append(\"path\").classed(\"annotation-arrow\",!0).classed(\"anndrag\",!0).classed(\"cursor-move\",!0).attr({d:\"M3,3H-3V-3H3ZM0,0L\"+(h-W)+\",\"+(p-X),transform:s(W,X)}).style(\"stroke-width\",V+6+\"px\").call(c.stroke,\"rgba(0,0,0,0)\").call(c.fill,\"rgba(0,0,0,0)\");d.init({element:Q.node(),gd:t,prepFn:function(){var t=u.getTranslate(R);J=t.x,K=t.y,v&&v.autorange&&M(v._name+\".autorange\",!0),x&&x.autorange&&M(x._name+\".autorange\",!0)},moveFn:function(t,r){var n=w(J,K),i=n[0]+t,a=n[1]+r;R.call(u.setTranslate,i,a),S(\"x\",y(v,t,\"x\",T,e)),S(\"y\",y(x,r,\"y\",T,e)),e.axref===e.xref&&S(\"ax\",y(v,t,\"ax\",T,e)),e.ayref===e.yref&&S(\"ay\",y(x,r,\"ay\",T,e)),G.attr(\"transform\",s(t,r)),O.attr({transform:\"rotate(\"+P+\",\"+i+\",\"+a+\")\"})},doneFn:function(){i.call(\"_guiRelayout\",t,E());var e=document.querySelector(\".js-notes-box-panel\");e&&e.redraw(e.selectedObj)}})}}};if(e.showarrow&&At(0,0),z)d.init({element:R.node(),gd:t,prepFn:function(){kt=O.attr(\"transform\")},moveFn:function(t,r){var n=\"pointer\";if(e.showarrow)e.axref===e.xref?S(\"ax\",y(v,t,\"ax\",T,e)):S(\"ax\",e.ax+t),e.ayref===e.yref?S(\"ay\",y(x,r,\"ay\",T.w,e)):S(\"ay\",e.ay+r),At(t,r);else{if(a)return;var i,o;if(v)i=y(v,t,\"x\",T,e);else{var l=e._xsize/T.w,c=e.x+(e._xshift-e.xshift)/T.w-l/2;i=d.align(c+t/T.w,l,0,1,e.xanchor)}if(x)o=y(x,r,\"y\",T,e);else{var u=e._ysize/T.h,f=e.y-(e._yshift+e.yshift)/T.h-u/2;o=d.align(f-r/T.h,u,0,1,e.yanchor)}S(\"x\",i),S(\"y\",o),v&&x||(n=d.getCursor(v?.5:i,x?.5:o,e.xanchor,e.yanchor))}O.attr({transform:s(t,r)+kt}),p(R,n)},clickFn:function(r,n){e.captureevents&&t.emit(\"plotly_clickannotation\",Y(n))},doneFn:function(){p(R),i.call(\"_guiRelayout\",t,E());var e=document.querySelector(\".js-notes-box-panel\");e&&e.redraw(e.selectedObj)}})}}}e.exports={draw:function(t){var e=t._fullLayout;e._infolayer.selectAll(\".annotation\").remove();for(var r=0;r<e.annotations.length;r++)e.annotations[r].visible&&v(t,r);return a.previousPromises(t)},drawOne:v,drawRaw:x}},{\"../../lib\":503,\"../../lib/setcursor\":524,\"../../lib/svg_text_utils\":529,\"../../plot_api/plot_template\":543,\"../../plots/cartesian/axes\":554,\"../../plots/plots\":619,\"../../registry\":638,\"../color\":366,\"../dragelement\":385,\"../drawing\":388,\"../fx\":406,\"./draw_arrow_head\":356,\"@plotly/d3\":58}],356:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../color\"),a=t(\"./arrow_paths\"),o=t(\"../../lib\"),s=o.strScale,l=o.strRotate,c=o.strTranslate;e.exports=function(t,e,r){var o,u,f,h,p=t.node(),d=a[r.arrowhead||0],m=a[r.startarrowhead||0],g=(r.arrowwidth||1)*(r.arrowsize||1),v=(r.arrowwidth||1)*(r.startarrowsize||1),y=e.indexOf(\"start\")>=0,x=e.indexOf(\"end\")>=0,b=d.backoff*g+r.standoff,_=m.backoff*v+r.startstandoff;if(\"line\"===p.nodeName){o={x:+t.attr(\"x1\"),y:+t.attr(\"y1\")},u={x:+t.attr(\"x2\"),y:+t.attr(\"y2\")};var w=o.x-u.x,T=o.y-u.y;if(h=(f=Math.atan2(T,w))+Math.PI,b&&_&&b+_>Math.sqrt(w*w+T*T))return void z();if(b){if(b*b>w*w+T*T)return void z();var k=b*Math.cos(f),A=b*Math.sin(f);u.x+=k,u.y+=A,t.attr({x2:u.x,y2:u.y})}if(_){if(_*_>w*w+T*T)return void z();var M=_*Math.cos(f),S=_*Math.sin(f);o.x-=M,o.y-=S,t.attr({x1:o.x,y1:o.y})}}else if(\"path\"===p.nodeName){var E=p.getTotalLength(),L=\"\";if(E<b+_)return void z();var C=p.getPointAtLength(0),P=p.getPointAtLength(.1);f=Math.atan2(C.y-P.y,C.x-P.x),o=p.getPointAtLength(Math.min(_,E)),L=\"0px,\"+_+\"px,\";var 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n=t(\"@plotly/d3\"),i=t(\"tinycolor2\"),a=t(\"../../plots/plots\"),o=t(\"../../registry\"),s=t(\"../../plots/cartesian/axes\"),l=t(\"../dragelement\"),c=t(\"../../lib\"),u=c.strTranslate,f=t(\"../../lib/extend\").extendFlat,h=t(\"../../lib/setcursor\"),p=t(\"../drawing\"),d=t(\"../color\"),m=t(\"../titles\"),g=t(\"../../lib/svg_text_utils\"),v=t(\"../colorscale/helpers\").flipScale,y=t(\"../../plots/cartesian/axis_defaults\"),x=t(\"../../plots/cartesian/position_defaults\"),b=t(\"../../plots/cartesian/layout_attributes\"),_=t(\"../../constants/alignment\"),w=_.LINE_SPACING,T=_.FROM_TL,k=_.FROM_BR,A=t(\"./constants\").cn;e.exports={draw:function(t){var e=t._fullLayout._infolayer.selectAll(\"g.\"+A.colorbar).data(function(t){var e,r,n,i,a=t._fullLayout,o=t.calcdata,s=[];function l(t){return f(t,{_fillcolor:null,_line:{color:null,width:null,dash:null},_levels:{start:null,end:null,size:null},_filllevels:null,_fillgradient:null,_zrange:null})}function c(){\"function\"==typeof 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r=n.select(this);c.ensureSingle(r,\"rect\",A.cbbg),c.ensureSingle(r,\"g\",A.cbfills),c.ensureSingle(r,\"g\",A.cblines),c.ensureSingle(r,\"g\",A.cbaxis,(function(t){t.classed(A.crisp,!0)})),c.ensureSingle(r,\"g\",A.cbtitleunshift,(function(t){t.append(\"g\").classed(A.cbtitle,!0)})),c.ensureSingle(r,\"rect\",A.cboutline);var v=function(t,e,r){var o=\"v\"===e.orientation,l=e.len,h=e.lenmode,v=e.thickness,_=e.thicknessmode,M=e.outlinewidth,S=e.borderwidth,E=e.bgcolor,L=e.xanchor,C=e.yanchor,P=e.xpad,I=e.ypad,O=e.x,z=o?e.y:1-e.y,D=r._fullLayout,R=D._size,F=e._fillcolor,B=e._line,N=e.title,j=N.side,U=e._zrange||n.extent((\"function\"==typeof F?F:B.color).domain()),V=\"function\"==typeof B.color?B.color:function(){return B.color},H=\"function\"==typeof F?F:function(){return F},q=e._levels,G=function(t,e,r){var n,i,a=e._levels,o=[],s=[],l=a.end+a.size/100,c=a.size,u=1.001*r[0]-.001*r[1],f=1.001*r[1]-.001*r[0];for(i=0;i<1e5&&(n=a.start+i*c,!(c>0?n>=l:n<=l));i++)n>u&&n<f&&o.push(n);if(e._fillgradient)s=[0];else if(\"function\"==typeof e._fillcolor){var h=e._filllevels;if(h)for(l=h.end+h.size/100,c=h.size,i=0;i<1e5&&(n=h.start+i*c,!(c>0?n>=l:n<=l));i++)n>r[0]&&n<r[1]&&s.push(n);else(s=o.map((function(t){return t-a.size/2}))).push(s[s.length-1]+a.size)}else e._fillcolor&&\"string\"==typeof e._fillcolor&&(s=[0]);a.size<0&&(o.reverse(),s.reverse());return{line:o,fill:s}}(0,e,U),Y=G.fill,W=G.line,X=Math.round(v*(\"fraction\"===_?o?R.w:R.h:1)),Z=X/(o?R.w:R.h),J=Math.round(l*(\"fraction\"===h?o?R.h:R.w:1)),K=J/(o?R.h:R.w),Q=Math.round(o?O*R.w+P:z*R.h+I),$={center:.5,right:1}[L]||0,tt={top:1,middle:.5}[C]||0,et=o?O-$*Z:z-tt*Z,rt=o?z-tt*K:O-$*K,nt=Math.round(o?R.h*(1-rt):R.w*rt);e._lenFrac=K,e._thickFrac=Z,e._uFrac=et,e._vFrac=rt;var it=e._axis=function(t,e,r){var n=t._fullLayout,i=\"v\"===e.orientation,a={type:\"linear\",range:r,tickmode:e.tickmode,nticks:e.nticks,tick0:e.tick0,dtick:e.dtick,tickvals:e.tickvals,ticktext:e.ticktext,ticks:e.ticks,ticklen:e.ticklen,tickwidth:e.tickwidth,tickcolor:e.tickcolor,showticklabels:e.showticklabels,ticklabelposition:e.ticklabelposition,ticklabeloverflow:e.ticklabeloverflow,ticklabelstep:e.ticklabelstep,tickfont:e.tickfont,tickangle:e.tickangle,tickformat:e.tickformat,exponentformat:e.exponentformat,minexponent:e.minexponent,separatethousands:e.separatethousands,showexponent:e.showexponent,showtickprefix:e.showtickprefix,tickprefix:e.tickprefix,showticksuffix:e.showticksuffix,ticksuffix:e.ticksuffix,title:e.title,showline:!0,anchor:\"free\",side:i?\"right\":\"bottom\",position:1},o=i?\"y\":\"x\",s={type:\"linear\",_id:o+e._id},l={letter:o,font:n.font,noHover:!0,noTickson:!0,noTicklabelmode:!0,calendar:n.calendar};function u(t,e){return c.coerce(a,s,b,t,e)}return y(a,s,u,l,n),x(a,s,u,l),s}(r,e,U);it.position=Z+(o?O+P/R.w:z+I/R.h);var at=-1!==[\"top\",\"bottom\"].indexOf(j);o&&at&&(it.title.side=j,it.titlex=O+P/R.w,it.titley=rt+(\"top\"===N.side?K-I/R.h:I/R.h));o||at||(it.title.side=j,it.titley=z+I/R.h,it.titlex=rt+P/R.w);if(B.color&&\"auto\"===e.tickmode){it.tickmode=\"linear\",it.tick0=q.start;var ot=q.size,st=c.constrain(J/50,4,15)+1,lt=(U[1]-U[0])/((e.nticks||st)*ot);if(lt>1){var ct=Math.pow(10,Math.floor(Math.log(lt)/Math.LN10));ot*=ct*c.roundUp(lt/ct,[2,5,10]),(Math.abs(q.start)/q.size+1e-6)%1<2e-6&&(it.tick0=0)}it.dtick=ot}it.domain=o?[rt+I/R.h,rt+K-I/R.h]:[rt+P/R.w,rt+K-P/R.w],it.setScale(),t.attr(\"transform\",u(Math.round(R.l),Math.round(R.t)));var ut,ft=t.select(\".\"+A.cbtitleunshift).attr(\"transform\",u(-Math.round(R.l),-Math.round(R.t))),ht=it.ticklabelposition,pt=it.title.font.size,dt=t.select(\".\"+A.cbaxis),mt=0,gt=0;function vt(n,i){var a={propContainer:it,propName:e._propPrefix+\"title\",traceIndex:e._traceIndex,_meta:e._meta,placeholder:D._dfltTitle.colorbar,containerGroup:t.select(\".\"+A.cbtitle)},o=\"h\"===n.charAt(0)?n.substr(1):\"h\"+n;t.selectAll(\".\"+o+\",.\"+o+\"-math-group\").remove(),m.draw(r,n,f(a,i||{}))}return c.syncOrAsync([a.previousPromises,function(){var t,e;(o&&at||!o&&!at)&&(\"top\"===j&&(t=P+R.l+R.w*O,e=I+R.t+R.h*(1-rt-K)+3+.75*pt),\"bottom\"===j&&(t=P+R.l+R.w*O,e=I+R.t+R.h*(1-rt)-3-.25*pt),\"right\"===j&&(e=I+R.t+R.h*z+3+.75*pt,t=P+R.l+R.w*rt),vt(it._id+\"title\",{attributes:{x:t,y:e,\"text-anchor\":o?\"start\":\"middle\"}}))},function(){if(!o&&!at||o&&at){var a,l=t.select(\".\"+A.cbtitle),f=l.select(\"text\"),h=[-M/2,M/2],d=l.select(\".h\"+it._id+\"title-math-group\").node(),m=15.6;if(f.node()&&(m=parseInt(f.node().style.fontSize,10)*w),d?(a=p.bBox(d),gt=a.width,(mt=a.height)>m&&(h[1]-=(mt-m)/2)):f.node()&&!f.classed(A.jsPlaceholder)&&(a=p.bBox(f.node()),gt=a.width,mt=a.height),o){if(mt){if(mt+=5,\"top\"===j)it.domain[1]-=mt/R.h,h[1]*=-1;else{it.domain[0]+=mt/R.h;var v=g.lineCount(f);h[1]+=(1-v)*m}l.attr(\"transform\",u(h[0],h[1])),it.setScale()}}else gt&&(\"right\"===j&&(it.domain[0]+=(gt+pt/2)/R.w),l.attr(\"transform\",u(h[0],h[1])),it.setScale())}t.selectAll(\".\"+A.cbfills+\",.\"+A.cblines).attr(\"transform\",o?u(0,Math.round(R.h*(1-it.domain[1]))):u(Math.round(R.w*it.domain[0]),0)),dt.attr(\"transform\",o?u(0,Math.round(-R.t)):u(Math.round(-R.l),0));var y=t.select(\".\"+A.cbfills).selectAll(\"rect.\"+A.cbfill).attr(\"style\",\"\").data(Y);y.enter().append(\"rect\").classed(A.cbfill,!0).style(\"stroke\",\"none\"),y.exit().remove();var x=U.map(it.c2p).map(Math.round).sort((function(t,e){return t-e}));y.each((function(t,a){var s=[0===a?U[0]:(Y[a]+Y[a-1])/2,a===Y.length-1?U[1]:(Y[a]+Y[a+1])/2].map(it.c2p).map(Math.round);o&&(s[1]=c.constrain(s[1]+(s[1]>s[0])?1:-1,x[0],x[1]));var l=n.select(this).attr(o?\"x\":\"y\",Q).attr(o?\"y\":\"x\",n.min(s)).attr(o?\"width\":\"height\",Math.max(X,2)).attr(o?\"height\":\"width\",Math.max(n.max(s)-n.min(s),2));if(e._fillgradient)p.gradient(l,r,e._id,o?\"vertical\":\"horizontalreversed\",e._fillgradient,\"fill\");else{var u=H(t).replace(\"e-\",\"\");l.attr(\"fill\",i(u).toHexString())}}));var b=t.select(\".\"+A.cblines).selectAll(\"path.\"+A.cbline).data(B.color&&B.width?W:[]);b.enter().append(\"path\").classed(A.cbline,!0),b.exit().remove(),b.each((function(t){var e=Q,r=Math.round(it.c2p(t))+B.width/2%1;n.select(this).attr(\"d\",\"M\"+(o?e+\",\"+r:r+\",\"+e)+(o?\"h\":\"v\")+X).call(p.lineGroupStyle,B.width,V(t),B.dash)})),dt.selectAll(\"g.\"+it._id+\"tick,path\").remove();var _=Q+X+(M||0)/2-(\"outside\"===e.ticks?1:0),T=s.calcTicks(it),k=s.getTickSigns(it)[2];return s.drawTicks(r,it,{vals:\"inside\"===it.ticks?s.clipEnds(it,T):T,layer:dt,path:s.makeTickPath(it,_,k),transFn:s.makeTransTickFn(it)}),s.drawLabels(r,it,{vals:T,layer:dt,transFn:s.makeTransTickLabelFn(it),labelFns:s.makeLabelFns(it,_)})},function(){if(o&&!at||!o&&at){var t,i,a=it.position||0,s=it._offset+it._length/2;if(\"right\"===j)i=s,t=R.l+R.w*a+10+pt*(it.showticklabels?1:.5);else if(t=s,\"bottom\"===j&&(i=R.t+R.h*a+10+(-1===ht.indexOf(\"inside\")?it.tickfont.size:0)+(\"intside\"!==it.ticks&&e.ticklen||0)),\"top\"===j){var l=N.text.split(\"<br>\").length;i=R.t+R.h*a+10-X-w*pt*l}vt((o?\"h\":\"v\")+it._id+\"title\",{avoid:{selection:n.select(r).selectAll(\"g.\"+it._id+\"tick\"),side:j,offsetTop:o?0:R.t,offsetLeft:o?R.l:0,maxShift:o?D.width:D.height},attributes:{x:t,y:i,\"text-anchor\":\"middle\"},transform:{rotate:o?-90:0,offset:0}})}},a.previousPromises,function(){var n,s=X+M/2;-1===ht.indexOf(\"inside\")&&(n=p.bBox(dt.node()),s+=o?n.width:n.height),ut=ft.select(\"text\");var c=0,f=o&&\"top\"===j,m=!o&&\"right\"===j,g=0;if(ut.node()&&!ut.classed(A.jsPlaceholder)){var y,x=ft.select(\".h\"+it._id+\"title-math-group\").node();x&&(o&&at||!o&&!at)?(c=(n=p.bBox(x)).width,y=n.height):(c=(n=p.bBox(ft.node())).right-R.l-(o?Q:nt),y=n.bottom-R.t-(o?nt:Q),o||\"top\"!==j||(s+=n.height,g=n.height)),m&&(ut.attr(\"transform\",u(c/2+pt/2,0)),c*=2),s=Math.max(s,o?c:y)}var b=2*(o?P:I)+s+S+M/2,w=0;!o&&N.text&&\"bottom\"===C&&z<=0&&(b+=w=b/2,g+=w),D._hColorbarMoveTitle=w,D._hColorbarMoveCBTitle=g;var F=S+M;t.select(\".\"+A.cbbg).attr(\"x\",(o?Q:nt)-F/2-(o?P:0)).attr(\"y\",(o?nt:Q)-(o?J:I+g-w)).attr(o?\"width\":\"height\",Math.max(b-w,2)).attr(o?\"height\":\"width\",Math.max(J+F,2)).call(d.fill,E).call(d.stroke,e.bordercolor).style(\"stroke-width\",S);var B=m?Math.max(c-10,0):0;if(t.selectAll(\".\"+A.cboutline).attr(\"x\",(o?Q:nt+P)+B).attr(\"y\",(o?nt+I-J:Q)+(f?mt:0)).attr(o?\"width\":\"height\",Math.max(X,2)).attr(o?\"height\":\"width\",Math.max(J-(o?2*I+mt:2*P+B),2)).call(d.stroke,e.outlinecolor).style({fill:\"none\",\"stroke-width\":M}),t.attr(\"transform\",u(R.l-(o?$*b:0),R.t-(o?0:(1-tt)*b-g))),!o&&(S||i(E).getAlpha()&&!i.equals(D.paper_bgcolor,E))){var U=dt.selectAll(\"text\"),V=U[0].length,H=t.select(\".\"+A.cbbg).node(),q=p.bBox(H),G=p.getTranslate(t);U.each((function(t,e){var r=V-1;if(0===e||e===r){var n,i=p.bBox(this),a=p.getTranslate(this);if(e===r){var o=i.right+a.x;(n=q.right+G.x+nt-S-2+O-o)>0&&(n=0)}else if(0===e){var s=i.left+a.x;(n=q.left+G.x+nt+S+2-s)<0&&(n=0)}n&&(V<3?this.setAttribute(\"transform\",\"translate(\"+n+\",0) \"+this.getAttribute(\"transform\")):this.setAttribute(\"visibility\",\"hidden\"))}}))}var Y={},W=T[L],Z=k[L],K=T[C],et=k[C],rt=b-X;o?(\"pixels\"===h?(Y.y=z,Y.t=J*K,Y.b=J*et):(Y.t=Y.b=0,Y.yt=z+l*K,Y.yb=z-l*et),\"pixels\"===_?(Y.x=O,Y.l=b*W,Y.r=b*Z):(Y.l=rt*W,Y.r=rt*Z,Y.xl=O-v*W,Y.xr=O+v*Z)):(\"pixels\"===h?(Y.x=O,Y.l=J*W,Y.r=J*Z):(Y.l=Y.r=0,Y.xl=O+l*W,Y.xr=O-l*Z),\"pixels\"===_?(Y.y=1-z,Y.t=b*K,Y.b=b*et):(Y.t=rt*K,Y.b=rt*et,Y.yt=z-v*K,Y.yb=z+v*et)),a.autoMargin(r,e._id,Y)}],r)}(r,e,t);v&&v.then&&(t._promises||[]).push(v),t._context.edits.colorbarPosition&&function(t,e,r){var n,i,a,s=\"v\"===e.orientation,c=r._fullLayout._size;l.init({element:t.node(),gd:r,prepFn:function(){n=t.attr(\"transform\"),h(t)},moveFn:function(r,o){t.attr(\"transform\",n+u(r,o)),i=l.align((s?e._uFrac:e._vFrac)+r/c.w,s?e._thickFrac:e._lenFrac,0,1,e.xanchor),a=l.align((s?e._vFrac:1-e._uFrac)-o/c.h,s?e._lenFrac:e._thickFrac,0,1,e.yanchor);var f=l.getCursor(i,a,e.xanchor,e.yanchor);h(t,f)},doneFn:function(){if(h(t),void 0!==i&&void 0!==a){var n={};n[e._propPrefix+\"x\"]=i,n[e._propPrefix+\"y\"]=a,void 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o.warn(\"Fx.hover failed\",e,t),d.unhoverRaw(t,e)}var ct=1/0;function ut(t,r){for(G=0;G<rt.length;G++)if((Y=rt[G])&&Y[0]&&Y[0].trace&&!0===(W=Y[0].trace).visible&&0!==W._length&&-1===[\"carpet\",\"contourcarpet\"].indexOf(W._module.name)){if(\"splom\"===W.type?X=l[Z=0]:(X=v.getSubplot(W),Z=l.indexOf(X)),J=P,v.isUnifiedHover(J)&&(J=J.charAt(0)),$={cd:Y,trace:W,xa:_[Z],ya:w[Z],maxHoverDistance:O,maxSpikeDistance:B,index:!1,distance:Math.min(ct,O),spikeDistance:1/0,xSpike:void 0,ySpike:void 0,color:p.defaultLine,name:W.name,x0:void 0,x1:void 0,y0:void 0,y1:void 0,xLabelVal:void 0,yLabelVal:void 0,zLabelVal:void 0,text:void 0},u[X]&&($.subplot=u[X]._subplot),u._splomScenes&&u._splomScenes[W.uid]&&($.scene=u._splomScenes[W.uid]),tt=et.length,\"array\"===J){var n=e[G];\"pointNumber\"in n?($.index=n.pointNumber,J=\"closest\"):(J=\"\",\"xval\"in n&&(K=n.xval,J=\"x\"),\"yval\"in n&&(Q=n.yval,J=J?\"closest\":\"y\"))}else void 0!==t&&void 0!==r?(K=t,Q=r):(K=V[Z],Q=H[Z]);if(0!==O)if(W._module&&W._module.hoverPoints){var a=W._module.hoverPoints($,K,Q,J,{finiteRange:!0,hoverLayer:u._hoverlayer});if(a)for(var s,c=0;c<a.length;c++)s=a[c],i(s.x0)&&i(s.y0)&&et.push(D(s,P))}else o.log(\"Unrecognized trace type in hover:\",W);if(\"closest\"===P&&et.length>tt&&(et.splice(0,tt),ct=et[0].distance),y&&0!==B&&0===et.length){$.distance=B,$.index=!1;var f=W._module.hoverPoints($,K,Q,\"closest\",{hoverLayer:u._hoverlayer});if(f&&(f=f.filter((function(t){return t.spikeDistance<=B}))),f&&f.length){var h,d=f.filter((function(t){return t.xa.showspikes&&\"hovered data\"!==t.xa.spikesnap}));if(d.length){var m=d[0];i(m.x0)&&i(m.y0)&&(h=ht(m),(!nt.vLinePoint||nt.vLinePoint.spikeDistance>h.spikeDistance)&&(nt.vLinePoint=h))}var g=f.filter((function(t){return t.ya.showspikes&&\"hovered data\"!==t.ya.spikesnap}));if(g.length){var x=g[0];i(x.x0)&&i(x.y0)&&(h=ht(x),(!nt.hLinePoint||nt.hLinePoint.spikeDistance>h.spikeDistance)&&(nt.hLinePoint=h))}}}}}function ft(t,e,r){for(var n,i=null,a=1/0,o=0;o<t.length;o++)n=t[o].spikeDistance,r&&0===o&&(n=-1/0),n<=a&&n<=e&&(i=t[o],a=n);return i}function ht(t){return t?{xa:t.xa,ya:t.ya,x:void 0!==t.xSpike?t.xSpike:(t.x0+t.x1)/2,y:void 0!==t.ySpike?t.ySpike:(t.y0+t.y1)/2,distance:t.distance,spikeDistance:t.spikeDistance,curveNumber:t.trace.index,color:t.color,pointNumber:t.index}:null}ut();var pt={fullLayout:u,container:u._hoverlayer,event:e},dt=t._spikepoints,mt={vLinePoint:nt.vLinePoint,hLinePoint:nt.hLinePoint};t._spikepoints=mt;var gt=function(){et.sort((function(t,e){return t.distance-e.distance})),et=function(t,e){for(var r=e.charAt(0),n=[],i=[],a=[],o=0;o<t.length;o++){var s=t[o];g.traceIs(s.trace,\"bar-like\")||g.traceIs(s.trace,\"box-violin\")?a.push(s):s.trace[r+\"period\"]?i.push(s):n.push(s)}return n.concat(i).concat(a)}(et,P)};gt();var vt=P.charAt(0),yt=(\"x\"===vt||\"y\"===vt)&&et[0]&&L[et[0].trace.type];if(y&&0!==B&&0!==et.length){var xt=ft(et.filter((function(t){return t.ya.showspikes})),B,yt);nt.hLinePoint=ht(xt);var bt=ft(et.filter((function(t){return t.xa.showspikes})),B,yt);nt.vLinePoint=ht(bt)}if(0===et.length){var _t=d.unhoverRaw(t,e);return!y||null===nt.hLinePoint&&null===nt.vLinePoint||F(dt)&&R(t,nt,pt),_t}y&&F(dt)&&R(t,nt,pt);if(v.isXYhover(J)&&0!==et[0].length&&\"splom\"!==et[0].trace.type){var wt=et[0],Tt=(et=E[wt.trace.type]?et.filter((function(t){return t.trace.index===wt.trace.index})):[wt]).length,kt=N(\"x\",wt,u),At=N(\"y\",wt,u);ut(kt,At);var Mt,St=[],Et={},Lt=0,Ct=function(t){var e=E[t.trace.type]?C(t):t.trace.index;if(Et[e]){var r=Et[e]-1,n=St[r];r>0&&Math.abs(t.distance)<Math.abs(n.distance)&&(St[r]=t)}else Lt++,Et[e]=Lt,St.push(t)};for(Mt=0;Mt<Tt;Mt++)Ct(et[Mt]);for(Mt=et.length-1;Mt>Tt-1;Mt--)Ct(et[Mt]);et=St,gt()}var Pt=t._hoverdata,It=[],Ot=j(t),zt=U(t);for(q=0;q<et.length;q++){var Dt=et[q],Rt=v.makeEventData(Dt,Dt.trace,Dt.cd);if(!1!==Dt.hovertemplate){var Ft=!1;Dt.cd[Dt.index]&&Dt.cd[Dt.index].ht&&(Ft=Dt.cd[Dt.index].ht),Dt.hovertemplate=Ft||Dt.trace.hovertemplate||!1}if(Dt.xa&&Dt.ya){var Bt=Dt.x0+Dt.xa._offset,Nt=Dt.x1+Dt.xa._offset,jt=Dt.y0+Dt.ya._offset,Ut=Dt.y1+Dt.ya._offset,Vt=Math.min(Bt,Nt),Ht=Math.max(Bt,Nt),qt=Math.min(jt,Ut),Gt=Math.max(jt,Ut);Rt.bbox={x0:Vt+zt,x1:Ht+zt,y0:qt+Ot,y1:Gt+Ot}}Dt.eventData=[Rt],It.push(Rt)}t._hoverdata=It;var Yt=\"y\"===P&&(rt.length>1||et.length>1)||\"closest\"===P&&it&&et.length>1,Wt=p.combine(u.plot_bgcolor||p.background,u.paper_bgcolor),Xt=I(et,{gd:t,hovermode:P,rotateLabels:Yt,bgColor:Wt,container:u._hoverlayer,outerContainer:u._paper.node(),commonLabelOpts:u.hoverlabel,hoverdistance:u.hoverdistance});v.isUnifiedHover(P)||(!function(t,e,r){var n,i,a,o,s,l,c,u=0,f=1,h=t.size(),p=new Array(h),d=0;function m(t){var e=t[0],r=t[t.length-1];if(i=e.pmin-e.pos-e.dp+e.size,a=r.pos+r.dp+r.size-e.pmax,i>.01){for(s=t.length-1;s>=0;s--)t[s].dp+=i;n=!1}if(!(a<.01)){if(i<-.01){for(s=t.length-1;s>=0;s--)t[s].dp-=a;n=!1}if(n){var c=0;for(o=0;o<t.length;o++)(l=t[o]).pos+l.dp+l.size>e.pmax&&c++;for(o=t.length-1;o>=0&&!(c<=0);o--)(l=t[o]).pos>e.pmax-1&&(l.del=!0,c--);for(o=0;o<t.length&&!(c<=0);o++)if((l=t[o]).pos<e.pmin+1)for(l.del=!0,c--,a=2*l.size,s=t.length-1;s>=0;s--)t[s].dp-=a;for(o=t.length-1;o>=0&&!(c<=0);o--)(l=t[o]).pos+l.dp+l.size>e.pmax&&(l.del=!0,c--)}}}t.each((function(t){var n=t[e],i=\"x\"===n._id.charAt(0),a=n.range;0===d&&a&&a[0]>a[1]!==i&&(f=-1),p[d++]=[{datum:t,traceIndex:t.trace.index,dp:0,pos:t.pos,posref:t.posref,size:t.by*(i?T:1)/2,pmin:0,pmax:i?r.width:r.height}]})),p.sort((function(t,e){return t[0].posref-e[0].posref||f*(e[0].traceIndex-t[0].traceIndex)}));for(;!n&&u<=h;){for(u++,n=!0,o=0;o<p.length-1;){var g=p[o],v=p[o+1],y=g[g.length-1],x=v[0];if((i=y.pos+y.dp+y.size-x.pos-x.dp+x.size)>.01&&y.pmin===x.pmin&&y.pmax===x.pmax){for(s=v.length-1;s>=0;s--)v[s].dp+=i;for(g.push.apply(g,v),p.splice(o+1,1),c=0,s=g.length-1;s>=0;s--)c+=g[s].dp;for(a=c/g.length,s=g.length-1;s>=0;s--)g[s].dp-=a;n=!1}else o++}p.forEach(m)}for(o=p.length-1;o>=0;o--){var b=p[o];for(s=b.length-1;s>=0;s--){var _=b[s],w=_.datum;w.offset=_.dp,w.del=_.del}}}(Xt,Yt?\"xa\":\"ya\",u),z(Xt,Yt,u._invScaleX,u._invScaleY));if(s&&s.tagName){var Zt=g.getComponentMethod(\"annotations\",\"hasClickToShow\")(t,It);f(n.select(s),Zt?\"pointer\":\"\")}if(!s||a||!function(t,e,r){if(!r||r.length!==t._hoverdata.length)return!0;for(var n=r.length-1;n>=0;n--){var i=r[n],a=t._hoverdata[n];if(i.curveNumber!==a.curveNumber||String(i.pointNumber)!==String(a.pointNumber)||String(i.pointNumbers)!==String(a.pointNumbers))return!0}return!1}(t,0,Pt))return;Pt&&t.emit(\"plotly_unhover\",{event:e,points:Pt});t.emit(\"plotly_hover\",{event:e,points:t._hoverdata,xaxes:_,yaxes:w,xvals:V,yvals:H})}(t,e,r,a,s)}))},r.loneHover=function(t,e){var r=!0;Array.isArray(t)||(r=!1,t=[t]);var i=e.gd,a=j(i),o=U(i),s=I(t.map((function(t){var r=t._x0||t.x0||t.x||0,n=t._x1||t.x1||t.x||0,s=t._y0||t.y0||t.y||0,l=t._y1||t.y1||t.y||0,c=t.eventData;if(c){var u=Math.min(r,n),f=Math.max(r,n),h=Math.min(s,l),d=Math.max(s,l),m=t.trace;if(g.traceIs(m,\"gl3d\")){var v=i._fullLayout[m.scene]._scene.container,y=v.offsetLeft,x=v.offsetTop;u+=y,f+=y,h+=x,d+=x}c.bbox={x0:u+o,x1:f+o,y0:h+a,y1:d+a},e.inOut_bbox&&e.inOut_bbox.push(c.bbox)}else c=!1;return{color:t.color||p.defaultLine,x0:t.x0||t.x||0,x1:t.x1||t.x||0,y0:t.y0||t.y||0,y1:t.y1||t.y||0,xLabel:t.xLabel,yLabel:t.yLabel,zLabel:t.zLabel,text:t.text,name:t.name,idealAlign:t.idealAlign,borderColor:t.borderColor,fontFamily:t.fontFamily,fontSize:t.fontSize,fontColor:t.fontColor,nameLength:t.nameLength,textAlign:t.textAlign,trace:t.trace||{index:0,hoverinfo:\"\"},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:t.hovertemplate||!1,hovertemplateLabels:t.hovertemplateLabels||!1,eventData:c}})),{gd:i,hovermode:\"closest\",rotateLabels:!1,bgColor:e.bgColor||p.background,container:n.select(e.container),outerContainer:e.outerContainer||e.container}),l=0,c=0;return s.sort((function(t,e){return t.y0-e.y0})).each((function(t,r){var n=t.y0-t.by/2;t.offset=n-5<l?l-n+5:0,l=n+t.by+t.offset,r===e.anchorIndex&&(c=t.offset)})).each((function(t){t.offset-=c})),z(s,!1,i._fullLayout._invScaleX,i._fullLayout._invScaleY),r?s:s.node()};var P=/<extra>([\\s\\S]*)<\\/extra>/;function I(t,e){var r=e.gd,i=r._fullLayout,a=e.hovermode,c=e.rotateLabels,f=e.bgColor,d=e.container,m=e.outerContainer,w=e.commonLabelOpts||{};if(0===t.length)return[[]];var T=e.fontFamily||y.HOVERFONT,k=e.fontSize||y.HOVERFONTSIZE,A=t[0],E=A.xa,L=A.ya,P=a.charAt(0),I=A[P+\"Label\"],z=V(r,m),D=z.top,R=z.width,F=z.height,B=void 0!==I&&A.distance<=e.hoverdistance&&(\"x\"===a||\"y\"===a);if(B){var N,j,U=!0;for(N=0;N<t.length;N++)if(U&&void 0===t[N].zLabel&&(U=!1),j=t[N].hoverinfo||t[N].trace.hoverinfo){var H=Array.isArray(j)?j:j.split(\"+\");if(-1===H.indexOf(\"all\")&&-1===H.indexOf(a)){B=!1;break}}U&&(B=!1)}var q=d.selectAll(\"g.axistext\").data(B?[0]:[]);if(q.enter().append(\"g\").classed(\"axistext\",!0),q.exit().remove(),q.each((function(){var t=n.select(this),e=o.ensureSingle(t,\"path\",\"\",(function(t){t.style({\"stroke-width\":\"1px\"})})),l=o.ensureSingle(t,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),c=w.bgcolor||p.defaultLine,f=w.bordercolor||p.contrast(c),d=p.contrast(c),m={family:w.font.family||T,size:w.font.size||k,color:w.font.color||d};e.style({fill:c,stroke:f}),l.text(I).call(h.font,m).call(u.positionText,0,0).call(u.convertToTspans,r),t.attr(\"transform\",\"\");var g,v,y=V(r,l.node());if(\"x\"===a){var x=\"top\"===E.side?\"-\":\"\";l.attr(\"text-anchor\",\"middle\").call(u.positionText,0,\"top\"===E.side?D-y.bottom-M-S:D-y.top+M+S),g=E._offset+(A.x0+A.x1)/2,v=L._offset+(\"top\"===E.side?0:L._length);var b=y.width/2+S;g<b?(g=b,e.attr(\"d\",\"M-\"+(b-M)+\",0L-\"+(b-2*M)+\",\"+x+M+\"H\"+(S+y.width/2)+\"v\"+x+(2*S+y.height)+\"H-\"+b+\"V\"+x+M+\"Z\")):g>i.width-b?(g=i.width-b,e.attr(\"d\",\"M\"+(b-M)+\",0L\"+b+\",\"+x+M+\"v\"+x+(2*S+y.height)+\"H-\"+b+\"V\"+x+M+\"H\"+(b-2*M)+\"Z\")):e.attr(\"d\",\"M0,0L\"+M+\",\"+x+M+\"H\"+(S+y.width/2)+\"v\"+x+(2*S+y.height)+\"H-\"+(S+y.width/2)+\"V\"+x+M+\"H-\"+M+\"Z\")}else{var _,C,P;\"right\"===L.side?(_=\"start\",C=1,P=\"\",g=E._offset+E._length):(_=\"end\",C=-1,P=\"-\",g=E._offset),v=L._offset+(A.y0+A.y1)/2,l.attr(\"text-anchor\",_),e.attr(\"d\",\"M0,0L\"+P+M+\",\"+M+\"V\"+(S+y.height/2)+\"h\"+P+(2*S+y.width)+\"V-\"+(S+y.height/2)+\"H\"+P+M+\"V-\"+M+\"Z\");var O,z=y.height/2,R=D-y.top-z,F=\"clip\"+i._uid+\"commonlabel\"+L._id;if(g<y.width+2*S+M){O=\"M-\"+(M+S)+\"-\"+z+\"h-\"+(y.width-S)+\"V\"+z+\"h\"+(y.width-S)+\"Z\";var B=y.width-g+S;u.positionText(l,B,R),\"end\"===_&&l.selectAll(\"tspan\").each((function(){var t=n.select(this),e=h.tester.append(\"text\").text(t.text()).call(h.font,m),i=V(r,e.node());Math.round(i.width)<Math.round(y.width)&&t.attr(\"x\",B-i.width),e.remove()}))}else u.positionText(l,C*(S+M),R),O=null;var N=i._topclips.selectAll(\"#\"+F).data(O?[0]:[]);N.enter().append(\"clipPath\").attr(\"id\",F).append(\"path\"),N.exit().remove(),N.select(\"path\").attr(\"d\",O),h.setClipUrl(l,O?F:null,r)}t.attr(\"transform\",s(g,v))})),v.isUnifiedHover(a)){d.selectAll(\"g.hovertext\").remove();var G=t.filter((function(t){return\"none\"!==t.hoverinfo}));if(0===G.length)return;var Y=i.hoverlabel,W=Y.font,X={showlegend:!0,legend:{title:{text:I,font:W},font:W,bgcolor:Y.bgcolor,bordercolor:Y.bordercolor,borderwidth:1,tracegroupgap:7,traceorder:i.legend?i.legend.traceorder:void 0,orientation:\"v\"}},Z={font:W};x(X,Z,r._fullData);var J=Z.legend;J.entries=[];for(var K=0;K<G.length;K++){var Q=G[K];if(\"none\"!==Q.hoverinfo){var $=O(Q,!0,a,i,I),tt=$[0],et=$[1];Q.name=et,Q.text=\"\"!==et?et+\" : 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n=t(\"@plotly/d3\"),i=t(\"../../lib\"),a=t(\"../../plots/plots\"),o=t(\"../../registry\"),s=t(\"../../lib/events\"),l=t(\"../dragelement\"),c=t(\"../drawing\"),u=t(\"../color\"),f=t(\"../../lib/svg_text_utils\"),h=t(\"./handle_click\"),p=t(\"./constants\"),d=t(\"../../constants/alignment\"),m=d.LINE_SPACING,g=d.FROM_TL,v=d.FROM_BR,y=t(\"./get_legend_data\"),x=t(\"./style\"),b=t(\"./helpers\");function _(t,e,r,n,i){var a=r.data()[0][0].trace,l={event:i,node:r.node(),curveNumber:a.index,expandedIndex:a._expandedIndex,data:t.data,layout:t.layout,frames:t._transitionData._frames,config:t._context,fullData:t._fullData,fullLayout:t._fullLayout};if(a._group&&(l.group=a._group),o.traceIs(a,\"pie-like\")&&(l.label=r.datum()[0].label),!1!==s.triggerHandler(t,\"plotly_legendclick\",l))if(1===n)e._clickTimeout=setTimeout((function(){t._fullLayout&&h(r,t,n)}),t._context.doubleClickDelay);else 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rectangle\")},attr:\"dragmode\",val:\"drawrect\",icon:o.drawrect,click:f},u.drawcircle={name:\"drawcircle\",title:function(t){return c(t,\"Draw circle\")},attr:\"dragmode\",val:\"drawcircle\",icon:o.drawcircle,click:f},u.eraseshape={name:\"eraseshape\",title:function(t){return c(t,\"Erase active shape\")},icon:o.eraseshape,click:s},u.zoomIn2d={name:\"zoomIn2d\",_cat:\"zoomin\",title:function(t){return c(t,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:o.zoom_plus,click:f},u.zoomOut2d={name:\"zoomOut2d\",_cat:\"zoomout\",title:function(t){return c(t,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:o.zoom_minus,click:f},u.autoScale2d={name:\"autoScale2d\",_cat:\"autoscale\",title:function(t){return c(t,\"Autoscale\")},attr:\"zoom\",val:\"auto\",icon:o.autoscale,click:f},u.resetScale2d={name:\"resetScale2d\",_cat:\"resetscale\",title:function(t){return c(t,\"Reset axes\")},attr:\"zoom\",val:\"reset\",icon:o.home,click:f},u.hoverClosestCartesian={name:\"hoverClosestCartesian\",_cat:\"hoverclosest\",title:function(t){return c(t,\"Show closest data on hover\")},attr:\"hovermode\",val:\"closest\",icon:o.tooltip_basic,gravity:\"ne\",click:f},u.hoverCompareCartesian={name:\"hoverCompareCartesian\",_cat:\"hoverCompare\",title:function(t){return c(t,\"Compare data on hover\")},attr:\"hovermode\",val:function(t){return t._fullLayout._isHoriz?\"y\":\"x\"},icon:o.tooltip_compare,gravity:\"ne\",click:f},u.zoom3d={name:\"zoom3d\",_cat:\"zoom\",title:function(t){return c(t,\"Zoom\")},attr:\"scene.dragmode\",val:\"zoom\",icon:o.zoombox,click:h},u.pan3d={name:\"pan3d\",_cat:\"pan\",title:function(t){return c(t,\"Pan\")},attr:\"scene.dragmode\",val:\"pan\",icon:o.pan,click:h},u.orbitRotation={name:\"orbitRotation\",title:function(t){return c(t,\"Orbital rotation\")},attr:\"scene.dragmode\",val:\"orbit\",icon:o[\"3d_rotate\"],click:h},u.tableRotation={name:\"tableRotation\",title:function(t){return c(t,\"Turntable rotation\")},attr:\"scene.dragmode\",val:\"turntable\",icon:o[\"z-axis\"],click:h},u.resetCameraDefault3d={name:\"resetCameraDefault3d\",_cat:\"resetCameraDefault\",title:function(t){return c(t,\"Reset camera to default\")},attr:\"resetDefault\",icon:o.home,click:p},u.resetCameraLastSave3d={name:\"resetCameraLastSave3d\",_cat:\"resetCameraLastSave\",title:function(t){return c(t,\"Reset camera to last save\")},attr:\"resetLastSave\",icon:o.movie,click:p},u.hoverClosest3d={name:\"hoverClosest3d\",_cat:\"hoverclosest\",title:function(t){return c(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:function(t,e){var r=d(t,e);n.call(\"_guiRelayout\",t,r)}},u.zoomInGeo={name:\"zoomInGeo\",_cat:\"zoomin\",title:function(t){return c(t,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:o.zoom_plus,click:m},u.zoomOutGeo={name:\"zoomOutGeo\",_cat:\"zoomout\",title:function(t){return c(t,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:o.zoom_minus,click:m},u.resetGeo={name:\"resetGeo\",_cat:\"reset\",title:function(t){return c(t,\"Reset\")},attr:\"reset\",val:null,icon:o.autoscale,click:m},u.hoverClosestGeo={name:\"hoverClosestGeo\",_cat:\"hoverclosest\",title:function(t){return c(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:v},u.hoverClosestGl2d={name:\"hoverClosestGl2d\",_cat:\"hoverclosest\",title:function(t){return c(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:v},u.hoverClosestPie={name:\"hoverClosestPie\",_cat:\"hoverclosest\",title:function(t){return c(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:\"closest\",icon:o.tooltip_basic,gravity:\"ne\",click:v},u.resetViewSankey={name:\"resetSankeyGroup\",title:function(t){return c(t,\"Reset view\")},icon:o.home,click:function(t){for(var e={\"node.groups\":[],\"node.x\":[],\"node.y\":[]},r=0;r<t._fullData.length;r++){var i=t._fullData[r]._viewInitial;e[\"node.groups\"].push(i.node.groups.slice()),e[\"node.x\"].push(i.node.x.slice()),e[\"node.y\"].push(i.node.y.slice())}n.call(\"restyle\",t,e)}},u.toggleHover={name:\"toggleHover\",title:function(t){return c(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:function(t,e){var r=d(t,e);r.hovermode=g(t),n.call(\"_guiRelayout\",t,r)}},u.resetViews={name:\"resetViews\",title:function(t){return c(t,\"Reset views\")},icon:o.home,click:function(t,e){var r=e.currentTarget;r.setAttribute(\"data-attr\",\"zoom\"),r.setAttribute(\"data-val\",\"reset\"),f(t,e),r.setAttribute(\"data-attr\",\"resetLastSave\"),p(t,e),x(t,\"geo\"),x(t,\"mapbox\")}},u.toggleSpikelines={name:\"toggleSpikelines\",title:function(t){return c(t,\"Toggle Spike Lines\")},icon:o.spikeline,attr:\"_cartesianSpikesEnabled\",val:\"on\",click:function(t){var e=t._fullLayout,r=e._cartesianSpikesEnabled;e._cartesianSpikesEnabled=\"on\"===r?\"off\":\"on\",n.call(\"_guiRelayout\",t,function(t){for(var e=\"on\"===t._fullLayout._cartesianSpikesEnabled,r=a.list(t,null,!0),n={},i=0;i<r.length;i++){var o=r[i];n[o._name+\".showspikes\"]=!!e||o._showSpikeInitial}return n}(t))}},u.resetViewMapbox={name:\"resetViewMapbox\",_cat:\"resetView\",title:function(t){return c(t,\"Reset view\")},attr:\"reset\",icon:o.home,click:function(t){x(t,\"mapbox\")}},u.zoomInMapbox={name:\"zoomInMapbox\",_cat:\"zoomin\",title:function(t){return c(t,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:o.zoom_plus,click:y},u.zoomOutMapbox={name:\"zoomOutMapbox\",_cat:\"zoomout\",title:function(t){return c(t,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:o.zoom_minus,click:y}},{\"../../fonts/ploticon\":482,\"../../lib\":503,\"../../plots/cartesian/axis_ids\":558,\"../../plots/plots\":619,\"../../registry\":638,\"../shapes/draw\":450}],427:[function(t,e,r){\"use strict\";var n=t(\"./buttons\"),i=Object.keys(n),a=[\"drawline\",\"drawopenpath\",\"drawclosedpath\",\"drawcircle\",\"drawrect\",\"eraseshape\"],o=[\"v1hovermode\",\"hoverclosest\",\"hovercompare\",\"togglehover\",\"togglespikelines\"].concat(a),s=[];i.forEach((function(t){!function(t){if(-1===o.indexOf(t._cat||t.name)){var e=t.name,r=(t._cat||t.name).toLowerCase();-1===s.indexOf(e)&&s.push(e),-1===s.indexOf(r)&&s.push(r)}}(n[t])})),s.sort(),e.exports={DRAW_MODES:a,backButtons:o,foreButtons:s}},{\"./buttons\":426}],428:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../color\"),a=t(\"../../plot_api/plot_template\"),o=t(\"./attributes\");e.exports=function(t,e){var r=t.modebar||{},s=a.newContainer(e,\"modebar\");function l(t,e){return n.coerce(r,s,o,t,e)}l(\"orientation\"),l(\"bgcolor\",i.addOpacity(e.paper_bgcolor,.5));var c=i.contrast(i.rgb(e.modebar.bgcolor));l(\"color\",i.addOpacity(c,.3)),l(\"activecolor\",i.addOpacity(c,.7)),l(\"uirevision\",e.uirevision),l(\"add\"),l(\"remove\")}},{\"../../lib\":503,\"../../plot_api/plot_template\":543,\"../color\":366,\"./attributes\":425}],429:[function(t,e,r){\"use strict\";e.exports={moduleType:\"component\",name:\"modebar\",layoutAttributes:t(\"./attributes\"),supplyLayoutDefaults:t(\"./defaults\"),manage:t(\"./manage\")}},{\"./attributes\":425,\"./defaults\":428,\"./manage\":430}],430:[function(t,e,r){\"use strict\";var n=t(\"../../plots/cartesian/axis_ids\"),i=t(\"../../traces/scatter/subtypes\"),a=t(\"../../registry\"),o=t(\"../fx/helpers\").isUnifiedHover,s=t(\"./modebar\"),l=t(\"./buttons\"),c=t(\"./constants\").DRAW_MODES,u=t(\"../../lib\").extendDeep;e.exports=function(t){var e=t._fullLayout,r=t._context,f=e._modeBar;if(r.displayModeBar||r.watermark){if(!Array.isArray(r.modeBarButtonsToRemove))throw new Error([\"*modeBarButtonsToRemove* configuration options\",\"must be an array.\"].join(\" \"));if(!Array.isArray(r.modeBarButtonsToAdd))throw new Error([\"*modeBarButtonsToAdd* configuration options\",\"must be an array.\"].join(\" \"));var h,p=r.modeBarButtons;h=Array.isArray(p)&&p.length?function(t){for(var e=u([],t),r=0;r<e.length;r++)for(var n=e[r],i=0;i<n.length;i++){var a=n[i];if(\"string\"==typeof a){if(void 0===l[a])throw new Error([\"*modeBarButtons* configuration options\",\"invalid button name\"].join(\" \"));e[r][i]=l[a]}}return e}(p):!r.displayModeBar&&r.watermark?[]:function(t){var e=t._fullLayout,r=t._fullData,s=t._context;function u(t,e){if(\"string\"==typeof e){if(e.toLowerCase()===t.toLowerCase())return!0}else{var r=e.name,n=e._cat||e.name;if(r===t||n===t.toLowerCase())return!0}return!1}var f=e.modebar.add;\"string\"==typeof f&&(f=[f]);var h=e.modebar.remove;\"string\"==typeof h&&(h=[h]);var p=s.modeBarButtonsToAdd.concat(f.filter((function(t){for(var e=0;e<s.modeBarButtonsToRemove.length;e++)if(u(t,s.modeBarButtonsToRemove[e]))return!1;return!0}))),d=s.modeBarButtonsToRemove.concat(h.filter((function(t){for(var e=0;e<s.modeBarButtonsToAdd.length;e++)if(u(t,s.modeBarButtonsToAdd[e]))return!1;return!0}))),m=e._has(\"cartesian\"),g=e._has(\"gl3d\"),v=e._has(\"geo\"),y=e._has(\"pie\"),x=e._has(\"funnelarea\"),b=e._has(\"gl2d\"),_=e._has(\"ternary\"),w=e._has(\"mapbox\"),T=e._has(\"polar\"),k=e._has(\"smith\"),A=e._has(\"sankey\"),M=function(t){for(var e=n.list({_fullLayout:t},null,!0),r=0;r<e.length;r++)if(!e[r].fixedrange)return!1;return!0}(e),S=o(e.hovermode),E=[];function L(t){if(t.length){for(var e=[],r=0;r<t.length;r++){for(var n=t[r],i=l[n],a=i.name.toLowerCase(),o=(i._cat||i.name).toLowerCase(),s=!1,c=0;c<d.length;c++){var u=d[c].toLowerCase();if(u===a||u===o){s=!0;break}}s||e.push(l[n])}E.push(e)}}var C=[\"toImage\"];s.showEditInChartStudio?C.push(\"editInChartStudio\"):s.showSendToCloud&&C.push(\"sendDataToCloud\");L(C);var P=[],I=[],O=[],z=[];(m||b||y||x||_)+v+g+w+T+k>1?(I=[\"toggleHover\"],O=[\"resetViews\"]):v?(P=[\"zoomInGeo\",\"zoomOutGeo\"],I=[\"hoverClosestGeo\"],O=[\"resetGeo\"]):g?(I=[\"hoverClosest3d\"],O=[\"resetCameraDefault3d\",\"resetCameraLastSave3d\"]):w?(P=[\"zoomInMapbox\",\"zoomOutMapbox\"],I=[\"toggleHover\"],O=[\"resetViewMapbox\"]):b?I=[\"hoverClosestGl2d\"]:y?I=[\"hoverClosestPie\"]:A?(I=[\"hoverClosestCartesian\",\"hoverCompareCartesian\"],O=[\"resetViewSankey\"]):I=[\"toggleHover\"];m&&(I=[\"toggleSpikelines\",\"hoverClosestCartesian\",\"hoverCompareCartesian\"]);(function(t){for(var e=0;e<t.length;e++)if(!a.traceIs(t[e],\"noHover\"))return!1;return!0}(r)||S)&&(I=[]);!m&&!b||M||(P=[\"zoomIn2d\",\"zoomOut2d\",\"autoScale2d\"],\"resetViews\"!==O[0]&&(O=[\"resetScale2d\"]));g?z=[\"zoom3d\",\"pan3d\",\"orbitRotation\",\"tableRotation\"]:(m||b)&&!M||_?z=[\"zoom2d\",\"pan2d\"]:w||v?z=[\"pan2d\"]:T&&(z=[\"zoom2d\"]);(function(t){for(var e=!1,r=0;r<t.length&&!e;r++){var n=t[r];n._module&&n._module.selectPoints&&(a.traceIs(n,\"scatter-like\")?(i.hasMarkers(n)||i.hasText(n))&&(e=!0):a.traceIs(n,\"box-violin\")&&\"all\"!==n.boxpoints&&\"all\"!==n.points||(e=!0))}return e})(r)&&z.push(\"select2d\",\"lasso2d\");var D=[],R=function(t){-1===D.indexOf(t)&&-1!==I.indexOf(t)&&D.push(t)};if(Array.isArray(p)){for(var F=[],B=0;B<p.length;B++){var N=p[B];\"string\"==typeof N?(N=N.toLowerCase(),-1!==c.indexOf(N)?(e._has(\"mapbox\")||e._has(\"cartesian\"))&&z.push(N):\"togglespikelines\"===N?R(\"toggleSpikelines\"):\"togglehover\"===N?R(\"toggleHover\"):\"hovercompare\"===N?R(\"hoverCompareCartesian\"):\"hoverclosest\"===N?(R(\"hoverClosestCartesian\"),R(\"hoverClosestGeo\"),R(\"hoverClosest3d\"),R(\"hoverClosestGl2d\"),R(\"hoverClosestPie\")):\"v1hovermode\"===N&&(R(\"toggleHover\"),R(\"hoverClosestCartesian\"),R(\"hoverCompareCartesian\"),R(\"hoverClosestGeo\"),R(\"hoverClosest3d\"),R(\"hoverClosestGl2d\"),R(\"hoverClosestPie\"))):F.push(N)}p=F}return L(z),L(P.concat(O)),L(D),function(t,e){if(e.length)if(Array.isArray(e[0]))for(var r=0;r<e.length;r++)t.push(e[r]);else t.push(e);return t}(E,p)}(t),f?f.update(t,h):e._modeBar=s(t,h)}else f&&(f.destroy(),delete e._modeBar)}},{\"../../lib\":503,\"../../plots/cartesian/axis_ids\":558,\"../../registry\":638,\"../../traces/scatter/subtypes\":952,\"../fx/helpers\":402,\"./buttons\":426,\"./constants\":427,\"./modebar\":431}],431:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"fast-isnumeric\"),a=t(\"../../lib\"),o=t(\"../../fonts/ploticon\"),s=t(\"../../version\").version,l=new DOMParser;function c(t){this.container=t.container,this.element=document.createElement(\"div\"),this.update(t.graphInfo,t.buttons),this.container.appendChild(this.element)}var u=c.prototype;u.update=function(t,e){this.graphInfo=t;var r=this.graphInfo._context,n=this.graphInfo._fullLayout,i=\"modebar-\"+n._uid;this.element.setAttribute(\"id\",i),this._uid=i,this.element.className=\"modebar\",\"hover\"===r.displayModeBar&&(this.element.className+=\" modebar--hover ease-bg\"),\"v\"===n.modebar.orientation&&(this.element.className+=\" vertical\",e=e.reverse());var o=n.modebar,s=\"hover\"===r.displayModeBar?\".js-plotly-plot .plotly:hover \":\"\";a.deleteRelatedStyleRule(i),a.addRelatedStyleRule(i,s+\"#\"+i+\" .modebar-group\",\"background-color: \"+o.bgcolor),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn .icon path\",\"fill: \"+o.color),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn:hover .icon path\",\"fill: \"+o.activecolor),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn.active .icon path\",\"fill: \"+o.activecolor);var l=!this.hasButtons(e),c=this.hasLogo!==r.displaylogo,u=this.locale!==r.locale;if(this.locale=r.locale,(l||c||u)&&(this.removeAllButtons(),this.updateButtons(e),r.watermark||r.displaylogo)){var f=this.getLogo();r.watermark&&(f.className=f.className+\" watermark\"),\"v\"===n.modebar.orientation?this.element.insertBefore(f,this.element.childNodes[0]):this.element.appendChild(f),this.hasLogo=!0}this.updateActiveButton()},u.updateButtons=function(t){var e=this;this.buttons=t,this.buttonElements=[],this.buttonsNames=[],this.buttons.forEach((function(t){var r=e.createGroup();t.forEach((function(t){var n=t.name;if(!n)throw new Error(\"must provide button 'name' in button config\");if(-1!==e.buttonsNames.indexOf(n))throw new Error(\"button name '\"+n+\"' is taken\");e.buttonsNames.push(n);var i=e.createButton(t);e.buttonElements.push(i),r.appendChild(i)})),e.element.appendChild(r)}))},u.createGroup=function(){var t=document.createElement(\"div\");return t.className=\"modebar-group\",t},u.createButton=function(t){var e=this,r=document.createElement(\"a\");r.setAttribute(\"rel\",\"tooltip\"),r.className=\"modebar-btn\";var i=t.title;void 0===i?i=t.name:\"function\"==typeof i&&(i=i(this.graphInfo)),(i||0===i)&&r.setAttribute(\"data-title\",i),void 0!==t.attr&&r.setAttribute(\"data-attr\",t.attr);var a=t.val;if(void 0!==a&&(\"function\"==typeof a&&(a=a(this.graphInfo)),r.setAttribute(\"data-val\",a)),\"function\"!=typeof t.click)throw new Error(\"must provide button 'click' function in button config\");r.addEventListener(\"click\",(function(r){t.click(e.graphInfo,r),e.updateActiveButton(r.currentTarget)})),r.setAttribute(\"data-toggle\",t.toggle||!1),t.toggle&&n.select(r).classed(\"active\",!0);var s=t.icon;return\"function\"==typeof s?r.appendChild(s()):r.appendChild(this.createIcon(s||o.question)),r.setAttribute(\"data-gravity\",t.gravity||\"n\"),r},u.createIcon=function(t){var e,r=i(t.height)?Number(t.height):t.ascent-t.descent,n=\"http://www.w3.org/2000/svg\";if(t.path){(e=document.createElementNS(n,\"svg\")).setAttribute(\"viewBox\",[0,0,t.width,r].join(\" \")),e.setAttribute(\"class\",\"icon\");var a=document.createElementNS(n,\"path\");a.setAttribute(\"d\",t.path),t.transform?a.setAttribute(\"transform\",t.transform):void 0!==t.ascent&&a.setAttribute(\"transform\",\"matrix(1 0 0 -1 0 \"+t.ascent+\")\"),e.appendChild(a)}t.svg&&(e=l.parseFromString(t.svg,\"application/xml\").childNodes[0]);return e.setAttribute(\"height\",\"1em\"),e.setAttribute(\"width\",\"1em\"),e},u.updateActiveButton=function(t){var e=this.graphInfo._fullLayout,r=void 0!==t?t.getAttribute(\"data-attr\"):null;this.buttonElements.forEach((function(t){var i=t.getAttribute(\"data-val\")||!0,o=t.getAttribute(\"data-attr\"),s=\"true\"===t.getAttribute(\"data-toggle\"),l=n.select(t);if(s)o===r&&l.classed(\"active\",!l.classed(\"active\"));else{var c=null===o?o:a.nestedProperty(e,o).get();l.classed(\"active\",c===i)}}))},u.hasButtons=function(t){var e=this.buttons;if(!e)return!1;if(t.length!==e.length)return!1;for(var r=0;r<t.length;++r){if(t[r].length!==e[r].length)return!1;for(var 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t.match(n.segmentRE).forEach((function(t){var a=e[t.charAt(0)].drawn;if(void 0!==a){var o=t.substr(1).match(n.paramRE);!o||o.length<a||r.push(i.cleanNumber(o[a]))}})),r},r.getDataToPixel=function(t,e,n,i){var a,o=t._fullLayout._size;if(e)if(\"domain\"===i)a=function(t){return e._length*(n?1-t:t)+e._offset};else{var s=r.shapePositionToRange(e);a=function(t){return e._offset+e.r2p(s(t,!0))},\"date\"===e.type&&(a=r.decodeDate(a))}else a=n?function(t){return o.t+o.h*(1-t)}:function(t){return o.l+o.w*t};return a},r.getPixelToData=function(t,e,n,i){var a,o=t._fullLayout._size;if(e)if(\"domain\"===i)a=function(t){var r=(t-e._offset)/e._length;return n?1-r:r};else{var s=r.rangeToShapePosition(e);a=function(t){return s(e.p2r(t-e._offset))}}else a=n?function(t){return 1-(t-o.t)/o.h}:function(t){return(t-o.l)/o.w};return a},r.roundPositionForSharpStrokeRendering=function(t,e){var r=1===Math.round(e%2),n=Math.round(t);return r?n+.5:n},r.makeOptionsAndPlotinfo=function(t,e){var 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n=t(\"../../plots/font_attributes\"),i=t(\"../../plots/pad_attributes\"),a=t(\"../../lib/extend\").extendDeepAll,o=t(\"../../plot_api/edit_types\").overrideAll,s=t(\"../../plots/animation_attributes\"),l=t(\"../../plot_api/plot_template\").templatedArray,c=t(\"./constants\"),u=l(\"step\",{visible:{valType:\"boolean\",dflt:!0},method:{valType:\"enumerated\",values:[\"restyle\",\"relayout\",\"animate\",\"update\",\"skip\"],dflt:\"restyle\"},args:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},label:{valType:\"string\"},value:{valType:\"string\"},execute:{valType:\"boolean\",dflt:!0}});e.exports=o(l(\"slider\",{visible:{valType:\"boolean\",dflt:!0},active:{valType:\"number\",min:0,dflt:0},steps:u,lenmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"fraction\"},len:{valType:\"number\",min:0,dflt:1},x:{valType:\"number\",min:-2,max:3,dflt:0},pad:a(i({editType:\"arraydraw\"}),{},{t:{dflt:20}}),xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\"},y:{valType:\"number\",min:-2,max:3,dflt:0},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"top\"},transition:{duration:{valType:\"number\",min:0,dflt:150},easing:{valType:\"enumerated\",values:s.transition.easing.values,dflt:\"cubic-in-out\"}},currentvalue:{visible:{valType:\"boolean\",dflt:!0},xanchor:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],dflt:\"left\"},offset:{valType:\"number\",dflt:10},prefix:{valType:\"string\"},suffix:{valType:\"string\"},font:n({})},font:n({}),activebgcolor:{valType:\"color\",dflt:c.gripBgActiveColor},bgcolor:{valType:\"color\",dflt:c.railBgColor},bordercolor:{valType:\"color\",dflt:c.railBorderColor},borderwidth:{valType:\"number\",min:0,dflt:c.railBorderWidth},ticklen:{valType:\"number\",min:0,dflt:c.tickLength},tickcolor:{valType:\"color\",dflt:c.tickColor},tickwidth:{valType:\"number\",min:0,dflt:1},minorticklen:{valType:\"number\",min:0,dflt:c.minorTickLength}}),\"arraydraw\",\"from-root\")},{\"../../lib/extend\":493,\"../../plot_api/edit_types\":536,\"../../plot_api/plot_template\":543,\"../../plots/animation_attributes\":548,\"../../plots/font_attributes\":585,\"../../plots/pad_attributes\":618,\"./constants\":460}],460:[function(t,e,r){\"use 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T={y:e.y,b:u.height*m[w],t:u.height*d[w]};\"fraction\"===e.lenmode?(T.l=0,T.xl=e.x-e.len*d[b],T.r=0,T.xr=e.x+e.len*m[b]):(T.x=e.x,T.l=u.outerLength*d[b],T.r=u.outerLength*m[b]),i.autoMargin(t,g(e),T)}function x(t,e,r){if(e.currentvalue.visible){var n,i,a=e._dims;switch(e.currentvalue.xanchor){case\"right\":n=a.inputAreaLength-f.currentValueInset-a.currentValueMaxWidth,i=\"left\";break;case\"center\":n=.5*a.inputAreaLength,i=\"middle\";break;default:n=f.currentValueInset,i=\"left\"}var l=s.ensureSingle(t,\"text\",f.labelClass,(function(t){t.attr({\"text-anchor\":i,\"data-notex\":1})})),u=e.currentvalue.prefix?e.currentvalue.prefix:\"\";if(\"string\"==typeof r)u+=r;else{var h=e.steps[e.active].label,d=e._gd._fullLayout._meta;d&&(h=s.templateString(h,d)),u+=h}e.currentvalue.suffix&&(u+=e.currentvalue.suffix),l.call(o.font,e.currentvalue.font).text(u).call(c.convertToTspans,e._gd);var m=c.lineCount(l),g=(a.currentValueMaxLines+1-m)*e.currentvalue.font.size*p;return 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t=s(),a=L(t,n.mouse(i)[0]);T(e,r,t,a,!1)}function h(){var t=s();t._dragging=!1,l.call(a.fill,t.bgcolor),o.on(\"mouseup\",null),o.on(\"mousemove\",null),o.on(\"touchend\",null),o.on(\"touchmove\",null),e.emit(\"plotly_sliderend\",{slider:t,step:t.steps[t.active]})}T(e,r,t,c,!0),t._dragging=!0,o.on(\"mousemove\",u),o.on(\"touchmove\",u),o.on(\"mouseup\",h),o.on(\"touchend\",h)}t.on(\"mousedown\",l),t.on(\"touchstart\",l)}function M(t,e){var r=t.selectAll(\"rect.\"+f.tickRectClass).data(e._visibleSteps),i=e._dims;r.enter().append(\"rect\").classed(f.tickRectClass,!0),r.exit().remove(),r.attr({width:e.tickwidth+\"px\",\"shape-rendering\":\"crispEdges\"}),r.each((function(t,r){var s=r%i.labelStride==0,l=n.select(this);l.attr({height:s?e.ticklen:e.minorticklen}).call(a.fill,e.tickcolor),o.setTranslate(l,E(e,r/(e._stepCount-1))-.5*e.tickwidth,(s?f.tickOffset:f.minorTickOffset)+i.currentValueTotalHeight)}))}function S(t,e,r){for(var 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n=t(\"@plotly/d3\"),i=t(\"d3-time-format\").utcFormat,a=t(\"d3-format\").format,o=t(\"fast-isnumeric\"),s=t(\"../constants/numerical\"),l=s.FP_SAFE,c=-l,u=s.BADNUM,f=e.exports={};f.adjustFormat=function(t){return!t||/^\\d[.]\\df/.test(t)||/[.]\\d%/.test(t)?t:\"0.f\"===t?\"~f\":/^\\d%/.test(t)?\"~%\":/^\\ds/.test(t)?\"~s\":!/^[~,.0$]/.test(t)&&/[&fps]/.test(t)?\"~\"+t:t};var h={};f.warnBadFormat=function(t){var e=String(t);h[e]||(h[e]=1,f.warn('encountered bad format: \"'+e+'\"'))},f.noFormat=function(t){return String(t)},f.numberFormat=function(t){var e;try{e=a(f.adjustFormat(t))}catch(e){return f.warnBadFormat(t),f.noFormat}return e},f.nestedProperty=t(\"./nested_property\"),f.keyedContainer=t(\"./keyed_container\"),f.relativeAttr=t(\"./relative_attr\"),f.isPlainObject=t(\"./is_plain_object\"),f.toLogRange=t(\"./to_log_range\"),f.relinkPrivateKeys=t(\"./relink_private\");var 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b=0;b<t.calcdata.length;b++)t.calcdata[b][0].trace=t._fullData[b];t._context.responsive?t._responsiveChartHandler||(t._responsiveChartHandler=function(){o.isHidden(t)||h.resize(t)},window.addEventListener(\"resize\",t._responsiveChartHandler)):o.clearResponsive(t);var T=o.extendFlat({},m._size),k=0;function A(){if(h.clearAutoMarginIds(t),w.drawMarginPushers(t),p.allowAutoMargin(t),m._has(\"pie\"))for(var e=t._fullData,r=0;r<e.length;r++){var n=e[r];\"pie\"===n.type&&n.automargin&&h.allowAutoMargin(t,\"pie.\"+n.uid+\".automargin\")}return h.doAutoMargin(t),h.previousPromises(t)}function S(){t._transitioning||(w.doAutoRangeAndConstraints(t),f&&p.saveRangeInitial(t),u.getComponentMethod(\"rangeslider\",\"calcAutorange\")(t))}var E=[h.previousPromises,function(){if(s)return r.addFrames(t,s)},function e(){for(var 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u=e._clips.selectAll(\".axesclip\").data(c,(function(t){return t.x._id+t.y._id}));u.enter().append(\"clipPath\").classed(\"axesclip\",!0).attr(\"id\",(function(t){return\"clip\"+e._uid+t.x._id+t.y._id})).append(\"rect\"),u.exit().remove(),u.each((function(t){n.select(this).select(\"rect\").attr({x:t.x._offset||0,y:t.y._offset||0,width:t.x._length||1,height:t.y._length||1})}))}},H.draw=function(t,e,r){var n=t._fullLayout;\"redraw\"===e&&n._paper.selectAll(\"g.subplot\").each((function(t){var e=t[0],r=n._plots[e];if(r){var i=r.xaxis,a=r.yaxis;r.xaxislayer.selectAll(\".\"+i._id+\"tick\").remove(),r.yaxislayer.selectAll(\".\"+a._id+\"tick\").remove(),r.xaxislayer.selectAll(\".\"+i._id+\"tick2\").remove(),r.yaxislayer.selectAll(\".\"+a._id+\"tick2\").remove(),r.xaxislayer.selectAll(\".\"+i._id+\"divider\").remove(),r.yaxislayer.selectAll(\".\"+a._id+\"divider\").remove(),r.minorGridlayer&&r.minorGridlayer.selectAll(\"path\").remove(),r.gridlayer&&r.gridlayer.selectAll(\"path\").remove(),r.zerolinelayer&&r.zerolinelayer.selectAll(\"path\").remove(),n._infolayer.select(\".g-\"+i._id+\"title\").remove(),n._infolayer.select(\".g-\"+a._id+\"title\").remove()}}));var i=e&&\"redraw\"!==e?e:H.listIds(t);return s.syncOrAsync(i.map((function(e){return function(){if(e){var n=H.getFromId(t,e),i=H.drawOne(t,n,r);return n._r=n.range.slice(),n._rl=s.simpleMap(n._r,n.r2l),i}}})))},H.drawOne=function(t,e,r){var n,i,l;r=r||{},e.setScale();var c=t._fullLayout,p=e._id,d=p.charAt(0),m=H.counterLetter(p),g=c._plots[e._mainSubplot];if(g){var v=g[d+\"axislayer\"],y=e._mainLinePosition,x=e._mainMirrorPosition,b=e._vals=H.calcTicks(e),_=[e.mirror,y,x].join(\"_\");for(n=0;n<b.length;n++)b[n].axInfo=_;e._selections={},e._tickAngles&&(e._prevTickAngles=e._tickAngles),e._tickAngles={},e._depth=null;var w={};if(e.visible){var T,k,A=H.makeTransTickFn(e),M=H.makeTransTickLabelFn(e),S=\"inside\"===e.ticks,E=\"outside\"===e.ticks;if(\"boundaries\"===e.tickson){var L=function(t,e){var r,n=[],i=function(t,e){var r=t.xbnd[e];null!==r&&n.push(s.extendFlat({},t,{x:r}))};if(e.length){for(r=0;r<e.length;r++)i(e[r],0);i(e[r-1],1)}return n}(0,b);k=H.clipEnds(e,L),T=S?k:L}else k=H.clipEnds(e,b),T=S&&\"period\"!==e.ticklabelmode?k:b;var C,P=e._gridVals=k,I=function(t,e){var r,n,i=[],a=e.length&&e[e.length-1].x<e[0].x,o=function(t,e){var r=t.xbnd[e];null!==r&&i.push(s.extendFlat({},t,{x:r}))};if(t.showdividers&&e.length){for(r=0;r<e.length;r++){var l=e[r];l.text2!==n&&o(l,a?1:0),n=l.text2}o(e[r-1],a?0:1)}return i}(e,b);if(!c._hasOnlyLargeSploms){var O=e._subplotsWith,z={};for(n=0;n<O.length;n++){i=O[n];var D=(l=c._plots[i])[m+\"axis\"],R=D._mainAxis._id;if(!z[R]){z[R]=1;var F=\"x\"===d?\"M0,\"+D._offset+\"v\"+D._length:\"M\"+D._offset+\",0h\"+D._length;H.drawGrid(t,e,{vals:P,counterAxis:D,layer:l.gridlayer.select(\".\"+p),minorLayer:l.minorGridlayer.select(\".\"+p),path:F,transFn:A}),H.drawZeroLine(t,e,{counterAxis:D,layer:l.zerolinelayer,path:F,transFn:A})}}}var B=H.getTickSigns(e),N=H.getTickSigns(e,\"minor\");if(e.ticks||e.minor&&e.minor.ticks){var j,q,G,Y,W=H.makeTickPath(e,y,B[2]),X=H.makeTickPath(e,y,N[2],{minor:!0});if(e._anchorAxis&&e.mirror&&!0!==e.mirror?(j=H.makeTickPath(e,x,B[3]),q=H.makeTickPath(e,x,N[3],{minor:!0}),G=W+j,Y=X+q):(j=\"\",q=\"\",G=W,Y=X),e.showdividers&&E&&\"boundaries\"===e.tickson){var Z={};for(n=0;n<I.length;n++)Z[I[n].x]=1;C=function(t){return Z[t.x]?j:G}}else C=function(t){return t.minor?Y:G}}if(H.drawTicks(t,e,{vals:T,layer:v,path:C,transFn:A}),\"allticks\"===e.mirror){var J=Object.keys(e._linepositions||{});for(n=0;n<J.length;n++){i=J[n],l=c._plots[i];var K=e._linepositions[i]||[],Q=K[0],$=K[1],tt=K[2],et=H.makeTickPath(e,Q,tt?B[0]:N[0],{minor:tt})+H.makeTickPath(e,$,tt?B[1]:N[1],{minor:tt});H.drawTicks(t,e,{vals:T,layer:l[d+\"axislayer\"],path:et,transFn:A})}}var rt=[];if(rt.push((function(){return H.drawLabels(t,e,{vals:b,layer:v,plotinfo:l,transFn:M,labelFns:H.makeLabelFns(e,y)})})),\"multicategory\"===e.type){var nt={x:2,y:10}[d];rt.push((function(){var r={x:\"height\",y:\"width\"}[d],n=at()[r]+nt+(e._tickAngles[p+\"tick\"]?e.tickfont.size*U:0);return H.drawLabels(t,e,{vals:vt(e,b),layer:v,cls:p+\"tick2\",repositionOnUpdate:!0,secondary:!0,transFn:A,labelFns:H.makeLabelFns(e,y+n*B[4])})})),rt.push((function(){return e._depth=B[4]*(at(\"tick2\")[e.side]-y),function(t,e,r){var n=e._id+\"divider\",i=r.vals,a=r.layer.selectAll(\"path.\"+n).data(i,xt);a.exit().remove(),a.enter().insert(\"path\",\":first-child\").classed(n,1).classed(\"crisp\",1).call(f.stroke,e.dividercolor).style(\"stroke-width\",h.crispRound(t,e.dividerwidth,1)+\"px\"),a.attr(\"transform\",r.transFn).attr(\"d\",r.path)}(t,e,{vals:I,layer:v,path:H.makeTickPath(e,y,B[4],{len:e._depth}),transFn:A})}))}else e.title.hasOwnProperty(\"standoff\")&&rt.push((function(){e._depth=B[4]*(at()[e.side]-y)}));var it=o.getComponentMethod(\"rangeslider\",\"isVisible\")(e);return rt.push((function(){var r,n,i,s,l=e.side.charAt(0),u=V[e.side].charAt(0),f=H.getPxPosition(t,e),h=E?e.ticklen:0;if((e.automargin||it)&&(\"multicategory\"===e.type?r=at(\"tick2\"):(r=at(),\"x\"===d&&\"b\"===l&&(e._depth=Math.max(r.width>0?r.bottom-f:0,h)))),e.automargin){n={x:0,y:0,r:0,l:0,t:0,b:0};var p=[0,1];if(\"x\"===d){if(\"b\"===l?n[l]=e._depth:(n[l]=e._depth=Math.max(r.width>0?f-r.top:0,h),p.reverse()),r.width>0){var g=r.right-(e._offset+e._length);g>0&&(n.xr=1,n.r=g);var v=e._offset-r.left;v>0&&(n.xl=0,n.l=v)}}else if(\"l\"===l?n[l]=e._depth=Math.max(r.height>0?f-r.left:0,h):(n[l]=e._depth=Math.max(r.height>0?r.right-f:0,h),p.reverse()),r.height>0){var y=r.bottom-(e._offset+e._length);y>0&&(n.yb=0,n.b=y);var x=e._offset-r.top;x>0&&(n.yt=1,n.t=x)}n[m]=\"free\"===e.anchor?e.position:e._anchorAxis.domain[p[0]],e.title.text!==c._dfltTitle[d]&&(n[l]+=bt(e)+(e.title.standoff||0)),e.mirror&&\"free\"!==e.anchor&&((i={x:0,y:0,r:0,l:0,t:0,b:0})[u]=e.linewidth,e.mirror&&!0!==e.mirror&&(i[u]+=h),!0===e.mirror||\"ticks\"===e.mirror?i[m]=e._anchorAxis.domain[p[1]]:\"all\"!==e.mirror&&\"allticks\"!==e.mirror||(i[m]=[e._counterDomainMin,e._counterDomainMax][p[1]]))}it&&(s=o.getComponentMethod(\"rangeslider\",\"autoMarginOpts\")(t,e)),a.autoMargin(t,Tt(e),n),a.autoMargin(t,kt(e),i),a.autoMargin(t,At(e),s)})),r.skipTitle||it&&\"bottom\"===e.side||rt.push((function(){return function(t,e){var r,n=t._fullLayout,i=e._id,a=i.charAt(0),o=e.title.font.size;if(e.title.hasOwnProperty(\"standoff\"))r=e._depth+e.title.standoff+bt(e);else{var s=Pt(e);if(\"multicategory\"===e.type)r=e._depth;else{var l=1.5*o;s&&(l=.5*o,\"outside\"===e.ticks&&(l+=e.ticklen)),r=10+l+(e.linewidth?e.linewidth-1:0)}s||(r+=\"x\"===a?\"top\"===e.side?o*(e.showticklabels?1:0):o*(e.showticklabels?1.5:.5):\"right\"===e.side?o*(e.showticklabels?1:.5):o*(e.showticklabels?.5:0))}var c,f,p,d,m=H.getPxPosition(t,e);\"x\"===a?(f=e._offset+e._length/2,p=\"top\"===e.side?m-r:m+r):(p=e._offset+e._length/2,f=\"right\"===e.side?m+r:m-r,c={rotate:\"-90\",offset:0});if(\"multicategory\"!==e.type){var g=e._selections[e._id+\"tick\"];if(d={selection:g,side:e.side},g&&g.node()&&g.node().parentNode){var v=h.getTranslate(g.node().parentNode);d.offsetLeft=v.x,d.offsetTop=v.y}e.title.hasOwnProperty(\"standoff\")&&(d.pad=0)}return u.draw(t,i+\"title\",{propContainer:e,propName:e._name+\".title.text\",placeholder:n._dfltTitle[a],avoid:d,transform:c,attributes:{x:f,y:p,\"text-anchor\":\"middle\"}})}(t,e)})),s.syncOrAsync(rt)}}function at(t){var r=p+(t||\"tick\");return w[r]||(w[r]=function(t,e){var r,n,i,a;t._selections[e].size()?(r=1/0,n=-1/0,i=1/0,a=-1/0,t._selections[e].each((function(){var t=wt(this),e=h.bBox(t.node().parentNode);r=Math.min(r,e.top),n=Math.max(n,e.bottom),i=Math.min(i,e.left),a=Math.max(a,e.right)}))):(r=0,n=0,i=0,a=0);return{top:r,bottom:n,left:i,right:a,height:n-r,width:a-i}}(e,r)),w[r]}},H.getTickSigns=function(t,e){var r=t._id.charAt(0),n={x:\"top\",y:\"right\"}[r],i=t.side===n?1:-1,a=[-1,1,i,-i];return\"inside\"!==(e?(t.minor||{}).ticks:t.ticks)==(\"x\"===r)&&(a=a.map((function(t){return-t}))),t.side&&a.push({l:-1,t:-1,r:1,b:1}[t.side.charAt(0)]),a},H.makeTransTickFn=function(t){return\"x\"===t._id.charAt(0)?function(e){return l(t._offset+t.l2p(e.x),0)}:function(e){return l(0,t._offset+t.l2p(e.x))}},H.makeTransTickLabelFn=function(t){var e=function(t){var e=t.ticklabelposition||\"\",r=function(t){return-1!==e.indexOf(t)},n=r(\"top\"),i=r(\"left\"),a=r(\"right\"),o=r(\"bottom\"),s=r(\"inside\"),l=o||i||n||a;if(!l&&!s)return[0,0];var c=t.side,u=l?(t.tickwidth||0)/2:0,f=3,h=t.tickfont?t.tickfont.size:12;(o||n)&&(u+=h*j,f+=(t.linewidth||0)/2);(i||a)&&(u+=(t.linewidth||0)/2,f+=3);s&&\"top\"===c&&(f-=h*(1-j));(i||n)&&(u=-u);\"bottom\"!==c&&\"right\"!==c||(f=-f);return[l?u:0,s?f:0]}(t),r=e[0],n=e[1];return\"x\"===t._id.charAt(0)?function(e){return l(r+t._offset+t.l2p(yt(e)),n)}:function(e){return l(n,r+t._offset+t.l2p(yt(e)))}},H.makeTickPath=function(t,e,r,n){n||(n={});var i=n.minor;if(i&&!t.minor)return\"\";var a=void 0!==n.len?n.len:i?t.minor.ticklen:t.ticklen,o=t._id.charAt(0),s=(t.linewidth||1)/2;return\"x\"===o?\"M0,\"+(e+s*r)+\"v\"+a*r:\"M\"+(e+s*r)+\",0h\"+a*r},H.makeLabelFns=function(t,e,r){var n=t.ticklabelposition||\"\",a=function(t){return-1!==n.indexOf(t)},o=a(\"top\"),l=a(\"left\"),c=a(\"right\"),u=a(\"bottom\")||l||o||c,f=a(\"inside\"),h=\"inside\"===n&&\"inside\"===t.ticks||!f&&\"outside\"===t.ticks&&\"boundaries\"!==t.tickson,p=0,d=0,m=h?t.ticklen:0;if(f?m*=-1:u&&(m=0),h&&(p+=m,r)){var g=s.deg2rad(r);p=m*Math.cos(g)+1,d=m*Math.sin(g)}t.showticklabels&&(h||t.showline)&&(p+=.2*t.tickfont.size);var v,y,x,b,_,w={labelStandoff:p+=(t.linewidth||1)/2*(f?-1:1),labelShift:d},T=0,k=t.side,A=t._id.charAt(0),M=t.tickangle;if(\"x\"===A)b=(_=!f&&\"bottom\"===k||f&&\"top\"===k)?1:-1,f&&(b*=-1),v=d*b,y=e+p*b,x=_?1:-.2,90===Math.abs(M)&&(f?x+=N:x=-90===M&&\"bottom\"===k?j:90===M&&\"top\"===k?N:.5,T=N/2*(M/90)),w.xFn=function(t){return t.dx+v+T*t.fontSize},w.yFn=function(t){return t.dy+y+t.fontSize*x},w.anchorFn=function(t,e){if(u){if(l)return\"end\";if(c)return\"start\"}return i(e)&&0!==e&&180!==e?e*b<0!==f?\"end\":\"start\":\"middle\"},w.heightFn=function(e,r,n){return r<-60||r>60?-.5*n:\"top\"===t.side!==f?-n:0};else if(\"y\"===A){if(b=(_=!f&&\"left\"===k||f&&\"right\"===k)?1:-1,f&&(b*=-1),v=p,y=d*b,x=0,f||90!==Math.abs(M)||(x=-90===M&&\"left\"===k||90===M&&\"right\"===k?j:.5),f){var S=i(M)?+M:0;if(0!==S){var E=s.deg2rad(S);T=Math.abs(Math.sin(E))*j*b,x=0}}w.xFn=function(t){return t.dx+e-(v+t.fontSize*x)*b+T*t.fontSize},w.yFn=function(t){return t.dy+y+t.fontSize*N},w.anchorFn=function(t,e){return i(e)&&90===Math.abs(e)?\"middle\":_?\"end\":\"start\"},w.heightFn=function(e,r,n){return\"right\"===t.side&&(r*=-1),r<-30?-n:r<30?-.5*n:0}}return w},H.drawTicks=function(t,e,r){r=r||{};var i=e._id+\"tick\",a=[].concat(e.minor&&e.minor.ticks?r.vals.filter((function(t){return t.minor&&!t.noTick})):[]).concat(e.ticks?r.vals.filter((function(t){return!t.minor&&!t.noTick})):[]),o=r.layer.selectAll(\"path.\"+i).data(a,xt);o.exit().remove(),o.enter().append(\"path\").classed(i,1).classed(\"ticks\",1).classed(\"crisp\",!1!==r.crisp).each((function(t){return f.stroke(n.select(this),t.minor?e.minor.tickcolor:e.tickcolor)})).style(\"stroke-width\",(function(r){return h.crispRound(t,r.minor?e.minor.tickwidth:e.tickwidth,1)+\"px\"})).attr(\"d\",r.path).style(\"display\",null),It(e,[R]),o.attr(\"transform\",r.transFn)},H.drawGrid=function(t,e,r){r=r||{};var i=e._id+\"grid\",a=e.minor&&e.minor.showgrid,o=a?r.vals.filter((function(t){return t.minor})):[],s=e.showgrid?r.vals.filter((function(t){return!t.minor})):[],l=r.counterAxis;if(l&&H.shouldShowZeroLine(t,e,l))for(var c=\"array\"===e.tickmode,u=0;u<s.length;u++){var p=s[u].x;if(c?!p:Math.abs(p)<e.dtick/100){if(s=s.slice(0,u).concat(s.slice(u+1)),!c)break;u--}}e._gw=h.crispRound(t,e.gridwidth,1);for(var d=a?h.crispRound(t,e.minor.gridwidth,1):0,m=r.layer,g=r.minorLayer,v=1;v>=0;v--){var y=v?m:g;if(y){var x=y.selectAll(\"path.\"+i).data(v?s:o,xt);x.exit().remove(),x.enter().append(\"path\").classed(i,1).classed(\"crisp\",!1!==r.crisp),x.attr(\"transform\",r.transFn).attr(\"d\",r.path).each((function(t){return f.stroke(n.select(this),t.minor?e.minor.gridcolor:e.gridcolor||\"#ddd\")})).style(\"stroke-dasharray\",(function(t){return h.dashStyle(t.minor?e.minor.griddash:e.griddash,t.minor?e.minor.gridwidth:e.gridwidth)})).style(\"stroke-width\",(function(t){return(t.minor?d:e._gw)+\"px\"})).style(\"display\",null),\"function\"==typeof r.path&&x.attr(\"d\",r.path)}}It(e,[z,D])},H.drawZeroLine=function(t,e,r){r=r||r;var n=e._id+\"zl\",i=H.shouldShowZeroLine(t,e,r.counterAxis),a=r.layer.selectAll(\"path.\"+n).data(i?[{x:0,id:e._id}]:[]);a.exit().remove(),a.enter().append(\"path\").classed(n,1).classed(\"zl\",1).classed(\"crisp\",!1!==r.crisp).each((function(){r.layer.selectAll(\"path\").sort((function(t,e){return Y(t.id,e.id)}))})),a.attr(\"transform\",r.transFn).attr(\"d\",r.path).call(f.stroke,e.zerolinecolor||f.defaultLine).style(\"stroke-width\",h.crispRound(t,e.zerolinewidth,e._gw||1)+\"px\").style(\"display\",null),It(e,[O])},H.drawLabels=function(t,e,r){r=r||{};var a=t._fullLayout,o=e._id,u=o.charAt(0),f=r.cls||o+\"tick\",p=r.vals.filter((function(t){return t.text})),d=r.labelFns,m=r.secondary?0:e.tickangle,g=(e._prevTickAngles||{})[f],v=r.layer.selectAll(\"g.\"+f).data(e.showticklabels?p:[],xt),y=[];function x(t,a){t.each((function(t){var o=n.select(this),s=o.select(\".text-math-group\"),u=d.anchorFn(t,a),f=r.transFn.call(o.node(),t)+(i(a)&&0!=+a?\" rotate(\"+a+\",\"+d.xFn(t)+\",\"+(d.yFn(t)-t.fontSize/2)+\")\":\"\"),p=c.lineCount(o),m=U*t.fontSize,g=d.heightFn(t,i(a)?+a:0,(p-1)*m);if(g&&(f+=l(0,g)),s.empty()){var v=o.select(\"text\");v.attr({transform:f,\"text-anchor\":u}),v.style(\"opacity\",1),e._adjustTickLabelsOverflow&&e._adjustTickLabelsOverflow()}else{var y=h.bBox(s.node()).width*{end:-.5,start:.5}[u];s.attr(\"transform\",f+l(y,0))}}))}v.enter().append(\"g\").classed(f,1).append(\"text\").attr(\"text-anchor\",\"middle\").each((function(e){var r=n.select(this),i=t._promises.length;r.call(c.positionText,d.xFn(e),d.yFn(e)).call(h.font,e.font,e.fontSize,e.fontColor).text(e.text).call(c.convertToTspans,t),t._promises[i]?y.push(t._promises.pop().then((function(){x(r,m)}))):x(r,m)})),It(e,[F]),v.exit().remove(),r.repositionOnUpdate&&v.each((function(t){n.select(this).select(\"text\").call(c.positionText,d.xFn(t),d.yFn(t))})),e._adjustTickLabelsOverflow=function(){var r=e.ticklabeloverflow;if(r&&\"allow\"!==r){var i=-1!==r.indexOf(\"hide\"),o=\"x\"===e._id.charAt(0),l=0,c=o?t._fullLayout.width:t._fullLayout.height;if(-1!==r.indexOf(\"domain\")){var u=s.simpleMap(e.range,e.r2l);l=e.l2p(u[0])+e._offset,c=e.l2p(u[1])+e._offset}var f=Math.min(l,c),p=Math.max(l,c),d=e.side,m=1/0,g=-1/0;for(var y in v.each((function(t){var 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o=\"tick\"===t.K&&\"text\"===t.L&&\"period\"===e.ticklabelmode,s=a._plots[e._mainSubplot];(t.K===O.K?s.zerolinelayer.selectAll(\".\"+e._id+\"zl\"):t.K===D.K?s.minorGridlayer.selectAll(\".\"+e._id):t.K===z.K?s.gridlayer.selectAll(\".\"+e._id):s[e._id.charAt(0)+\"axislayer\"]).each((function(){var a=n.select(this);t.L&&(a=a.selectAll(t.L)),a.each((function(a){var s=e.l2p(o?yt(a):a.x)+e._offset,l=n.select(this);s<e[\"_visibleLabelMax_\"+r._id]&&s>e[\"_visibleLabelMin_\"+r._id]?l.style(\"display\",\"none\"):\"tick\"!==t.K||i||l.style(\"display\",null)}))}))}))}))},x(v,g+1?g:m);var b=null;e._selections&&(e._selections[f]=v);var _=[function(){return y.length&&Promise.all(y)}];e.automargin&&a._redrawFromAutoMarginCount&&90===g?(b=90,_.push((function(){x(v,g)}))):_.push((function(){if(x(v,m),p.length&&\"x\"===u&&!i(m)&&(\"log\"!==e.type||\"D\"!==String(e.dtick).charAt(0))){b=0;var t,n=0,a=[];if(v.each((function(t){n=Math.max(n,t.fontSize);var 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n=t(\"fast-isnumeric\"),i=t(\"../../registry\"),a=t(\"../../lib\"),o=t(\"../../plot_api/plot_template\"),s=t(\"../array_container_defaults\"),l=t(\"./layout_attributes\"),c=t(\"./tick_value_defaults\"),u=t(\"./tick_mark_defaults\"),f=t(\"./tick_label_defaults\"),h=t(\"./prefix_suffix_defaults\"),p=t(\"./category_order_defaults\"),d=t(\"./line_grid_defaults\"),m=t(\"./set_convert\"),g=t(\"./constants\").WEEKDAY_PATTERN,v=t(\"./constants\").HOUR_PATTERN;function y(t,e,r){function i(r,n){return a.coerce(t,e,l.rangebreaks,r,n)}if(i(\"enabled\")){var o=i(\"bounds\");if(o&&o.length>=2){var s,c,u=\"\";if(2===o.length)for(s=0;s<2;s++)if(c=b(o[s])){u=g;break}var f=i(\"pattern\",u);if(f===g)for(s=0;s<2;s++)(c=b(o[s]))&&(e.bounds[s]=o[s]=c-1);if(f)for(s=0;s<2;s++)switch(c=o[s],f){case g:if(!n(c))return void(e.enabled=!1);if((c=+c)!==Math.floor(c)||c<0||c>=7)return void(e.enabled=!1);e.bounds[s]=o[s]=c;break;case v:if(!n(c))return void(e.enabled=!1);if((c=+c)<0||c>24)return 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a=Pt.dragmode,s=t._fullLayout.dragmode;s!==a&&(Pt.dragmode=s),yt(),pt=t._fullLayout._invScaleX,dt=t._fullLayout._invScaleY,ot||(gt?e.shiftKey?\"pan\"===s?s=\"zoom\":y(s)||(s=\"pan\"):e.ctrlKey&&(s=\"pan\"):s=\"pan\"),x(s)?Pt.minDrag=1:Pt.minDrag=void 0,y(s)?(Pt.xaxes=J,Pt.yaxes=K,A(e,r,n,Pt,s)):(Pt.clickFn=Ot,y(a)&&It(),ot||(\"zoom\"===s?(Pt.moveFn=zt,Pt.doneFn=Rt,Pt.minDrag=1,function(e,r,n){var a=bt.getBoundingClientRect();_t=r-a.left,wt=n-a.top,t._fullLayout._calcInverseTransform(t);var s=i.apply3DTransform(t._fullLayout._invTransform)(_t,wt);_t=s[0],wt=s[1],Tt={l:_t,r:_t,w:0,t:wt,b:wt,h:0},kt=t._hmpixcount?t._hmlumcount/t._hmpixcount:o(t._fullLayout.plot_bgcolor).getLuminance(),Mt=!1,St=\"xy\",Ct=!1,Et=N(mt,kt,Q,$,At=\"M0,0H\"+tt+\"V\"+et+\"H0V0\"),Lt=j(mt,Q,$)}(0,r,n)):\"pan\"===s&&(Pt.moveFn=Ut,Pt.doneFn=Gt))),t._fullLayout._redrag=function(){var e=t._dragdata;if(e&&e.element===bt){var r=t._fullLayout.dragmode;y(r)||(yt(),Yt([0,0,tt,et]),Pt.moveFn(e.dx,e.dy))}}},g.init(Pt);var 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r,n,a,o,s=t._fullLayout,c=s._plots,u=s._subplots.cartesian;if(ut&&l.subplotsRegistry.splom.drag(t),ct)for(r=0;r<u.length;r++)if(a=(n=c[u[r]]).xaxis,o=n.yaxis,n._scene){var f=i.simpleMap(a.range,a.r2l),p=i.simpleMap(o.range,o.r2l);n._scene.update({range:[f[0],p[0],f[1],p[1]]})}if((ut||ct)&&(_(t),w(t)),ft){var d=e[2]/I._length,g=e[3]/O._length;for(r=0;r<u.length;r++){a=(n=c[u[r]]).xaxis,o=n.yaxis;var y,x,b,T,k=(st||nt.isSubplotConstrained)&&!a.fixedrange&&V[a._id],A=(lt||nt.isSubplotConstrained)&&!o.fixedrange&&Z[o._id];if(k?(y=d,b=v||nt.isSubplotConstrained?e[0]:Zt(a,y)):nt.xaHash[a._id]?(y=d,b=e[0]*a._length/I._length):nt.yaHash[a._id]?(y=g,b=\"ns\"===at?-e[1]*a._length/O._length:Zt(a,y,{n:\"top\",s:\"bottom\"}[at])):b=Xt(a,y=Wt(a,d,g)),A?(x=g,T=m||nt.isSubplotConstrained?e[1]:Zt(o,x)):nt.yaHash[o._id]?(x=g,T=e[1]*o._length/O._length):nt.xaHash[o._id]?(x=d,T=\"ew\"===it?-e[0]*o._length/I._length:Zt(o,x,{e:\"right\",w:\"left\"}[it])):T=Xt(o,x=Wt(o,d,g)),y||x){y||(y=1),x||(x=1);var M=a._offset-b/y,S=o._offset-T/x;n.clipRect.call(h.setTranslate,b,T).call(h.setScale,y,x),n.plot.call(h.setTranslate,M,S).call(h.setScale,1/y,1/x),y===n.xScaleFactor&&x===n.yScaleFactor||(h.setPointGroupScale(n.zoomScalePts,y,x),h.setTextPointsScale(n.zoomScaleTxt,y,x)),h.hideOutsideRangePoints(n.clipOnAxisFalseTraces,n),n.xScaleFactor=y,n.yScaleFactor=x}}}}function Wt(t,e,r){return t.fixedrange?0:st&&rt.xaHash[t._id]?e:lt&&(rt.isSubplotConstrained?rt.xaHash:rt.yaHash)[t._id]?r:0}function Xt(t,e){return e?(t.range=t._r.slice(),E(t,e),Zt(t,e)):0}function Zt(t,e,r){return t._length*(1-e)*b[r||t.constraintoward||\"middle\"]}return m.length*v.length!=1&&W(bt,(function(e){if(t._context._scrollZoom.cartesian||t._fullLayout._enablescrollzoom){if(It(),t._transitioningWithDuration)return e.preventDefault(),void e.stopPropagation();yt(),clearTimeout(Bt);var r=-e.deltaY;if(isFinite(r)||(r=e.wheelDelta/10),isFinite(r)){var n,a=Math.exp(-Math.min(Math.max(r,-20),20)/200),o=jt.draglayer.select(\".nsewdrag\").node().getBoundingClientRect(),s=(e.clientX-o.left)/o.width,l=(o.bottom-e.clientY)/o.height;if(st){for(v||(s=.5),n=0;n<J.length;n++)c(J[n],s,a);Vt(\"x\"),Ft[2]*=a,Ft[0]+=Ft[2]*s*(1/a-1)}if(lt){for(m||(l=.5),n=0;n<K.length;n++)c(K[n],l,a);Vt(\"y\"),Ft[3]*=a,Ft[1]+=Ft[3]*(1-l)*(1/a-1)}Yt(Ft),Ht(),t.emit(\"plotly_relayouting\",ht),Bt=setTimeout((function(){t._fullLayout&&(Ft=[0,0,tt,et],Gt())}),Nt),e.preventDefault()}else i.log(\"Did not find wheel motion attributes: \",e)}function c(t,e,r){if(!t.fixedrange){var n=i.simpleMap(t.range,t.r2l),a=n[0]+(n[1]-n[0])*e;t.range=n.map((function(e){return t.l2r(a+(e-a)*r)}))}}})),bt},makeDragger:O,makeRectDragger:z,makeZoombox:N,makeCorners:j,updateZoombox:U,xyCorners:G,transitionZoombox:V,removeZoombox:H,showDoubleClickNotifier:q,attachWheelEventHandler:W}},{\"../../components/color\":366,\"../../components/dragelement\":385,\"../../components/dragelement/helpers\":384,\"../../components/drawing\":388,\"../../components/fx\":406,\"../../constants/alignment\":471,\"../../lib\":503,\"../../lib/clear_gl_canvases\":487,\"../../lib/setcursor\":524,\"../../lib/svg_text_utils\":529,\"../../plot_api/subroutines\":544,\"../../registry\":638,\"../plots\":619,\"./axes\":554,\"./axis_ids\":558,\"./constants\":561,\"./scale_zoom\":574,\"./select\":575,\"@plotly/d3\":58,\"has-passive-events\":229,tinycolor2:312}],564:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../components/fx\"),a=t(\"../../components/dragelement\"),o=t(\"../../lib/setcursor\"),s=t(\"./dragbox\").makeDragBox,l=t(\"./constants\").DRAGGERSIZE;r.initInteractions=function(t){var e=t._fullLayout;if(t._context.staticPlot)n.select(t).selectAll(\".drag\").remove();else if(e._has(\"cartesian\")||e._has(\"splom\")){Object.keys(e._plots||{}).sort((function(t,r){if((e._plots[t].mainplot&&!0)===(e._plots[r].mainplot&&!0)){var n=t.split(\"y\"),i=r.split(\"y\");return n[0]===i[0]?Number(n[1]||1)-Number(i[1]||1):Number(n[0]||1)-Number(i[0]||1)}return e._plots[t].mainplot?1:-1})).forEach((function(r){var n=e._plots[r],o=n.xaxis,c=n.yaxis;if(!n.mainplot){var u=s(t,n,o._offset,c._offset,o._length,c._length,\"ns\",\"ew\");u.onmousemove=function(e){t._fullLayout._rehover=function(){t._fullLayout._hoversubplot===r&&t._fullLayout._plots[r]&&i.hover(t,e,r)},i.hover(t,e,r),t._fullLayout._lasthover=u,t._fullLayout._hoversubplot=r},u.onmouseout=function(e){t._dragging||(t._fullLayout._hoversubplot=null,a.unhover(t,e))},t._context.showAxisDragHandles&&(s(t,n,o._offset-l,c._offset-l,l,l,\"n\",\"w\"),s(t,n,o._offset+o._length,c._offset-l,l,l,\"n\",\"e\"),s(t,n,o._offset-l,c._offset+c._length,l,l,\"s\",\"w\"),s(t,n,o._offset+o._length,c._offset+c._length,l,l,\"s\",\"e\"))}if(t._context.showAxisDragHandles){if(r===o._mainSubplot){var f=o._mainLinePosition;\"top\"===o.side&&(f-=l),s(t,n,o._offset+.1*o._length,f,.8*o._length,l,\"\",\"ew\"),s(t,n,o._offset,f,.1*o._length,l,\"\",\"w\"),s(t,n,o._offset+.9*o._length,f,.1*o._length,l,\"\",\"e\")}if(r===c._mainSubplot){var h=c._mainLinePosition;\"right\"!==c.side&&(h-=l),s(t,n,h,c._offset+.1*c._length,l,.8*c._length,\"ns\",\"\"),s(t,n,h,c._offset+.9*c._length,l,.1*c._length,\"s\",\"\"),s(t,n,h,c._offset,l,.1*c._length,\"n\",\"\")}}}));var o=e._hoverlayer.node();o.onmousemove=function(r){r.target=t._fullLayout._lasthover,i.hover(t,r,e._hoversubplot)},o.onclick=function(e){e.target=t._fullLayout._lasthover,i.click(t,e)},o.onmousedown=function(e){t._fullLayout._lasthover.onmousedown(e)},r.updateFx(t)}},r.updateFx=function(t){var e=t._fullLayout,r=\"pan\"===e.dragmode?\"move\":\"crosshair\";o(e._draggers,r)}},{\"../../components/dragelement\":385,\"../../components/fx\":406,\"../../lib/setcursor\":524,\"./constants\":561,\"./dragbox\":563,\"@plotly/d3\":58}],565:[function(t,e,r){\"use strict\";e.exports={clearOutlineControllers:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(\".outline-controllers\").remove()},clearSelect:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(\".select-outline\").remove(),t._fullLayout._drawing=!1}}},{}],566:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").strTranslate;function i(t,e){switch(t.type){case\"log\":return t.p2d(e);case\"date\":return t.p2r(e,0,t.calendar);default:return t.p2r(e)}}e.exports={p2r:i,r2p:function(t,e){switch(t.type){case\"log\":return t.d2p(e);case\"date\":return t.r2p(e,0,t.calendar);default:return t.r2p(e)}},axValue:function(t){var e=\"y\"===t._id.charAt(0)?1:0;return function(r){return i(t,r[e])}},getTransform:function(t){return n(t.xaxis._offset,t.yaxis._offset)}}},{\"../../lib\":503}],567:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),i=t(\"../../lib\"),a=t(\"./axis_ids\");e.exports=function(t){return function(e,r){var o=e[t];if(Array.isArray(o))for(var s=n.subplotsRegistry.cartesian,l=s.idRegex,c=r._subplots,u=c.xaxis,f=c.yaxis,h=c.cartesian,p=r._has(\"cartesian\")||r._has(\"gl2d\"),d=0;d<o.length;d++){var m=o[d];if(i.isPlainObject(m)){var g=a.cleanId(m.xref,\"x\",!1),v=a.cleanId(m.yref,\"y\",!1),y=l.x.test(g),x=l.y.test(v);if(y||x){p||i.pushUnique(r._basePlotModules,s);var b=!1;y&&-1===u.indexOf(g)&&(u.push(g),b=!0),x&&-1===f.indexOf(v)&&(f.push(v),b=!0),b&&y&&x&&h.push(g+v)}}}}}},{\"../../lib\":503,\"../../registry\":638,\"./axis_ids\":558}],568:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../registry\"),a=t(\"../../lib\"),o=t(\"../plots\"),s=t(\"../../components/drawing\"),l=t(\"../get_data\").getModuleCalcData,c=t(\"./axis_ids\"),u=t(\"./constants\"),f=t(\"../../constants/xmlns_namespaces\"),h=a.ensureSingle;function p(t,e,r){return a.ensureSingle(t,e,r,(function(t){t.datum(r)}))}function d(t,e,r,a,o){for(var c,f,h,p=u.traceLayerClasses,d=t._fullLayout,m=d._modules,g=[],v=[],y=0;y<m.length;y++){var x=(c=m[y]).name,b=i.modules[x].categories;if(b.svg){var _=c.layerName||x+\"layer\",w=c.plot;h=(f=l(r,w))[0],r=f[1],h.length&&g.push({i:p.indexOf(_),className:_,plotMethod:w,cdModule:h}),b.zoomScale&&v.push(\".\"+_)}}g.sort((function(t,e){return t.i-e.i}));var T=e.plot.selectAll(\"g.mlayer\").data(g,(function(t){return t.className}));if(T.enter().append(\"g\").attr(\"class\",(function(t){return t.className})).classed(\"mlayer\",!0).classed(\"rangeplot\",e.isRangePlot),T.exit().remove(),T.order(),T.each((function(r){var i=n.select(this),l=r.className;r.plotMethod(t,e,r.cdModule,i,a,o),-1===u.clipOnAxisFalseQuery.indexOf(\".\"+l)&&s.setClipUrl(i,e.layerClipId,t)})),d._has(\"scattergl\")&&(c=i.getModule(\"scattergl\"),h=l(r,c)[0],c.plot(t,e,h)),!t._context.staticPlot&&(e._hasClipOnAxisFalse&&(e.clipOnAxisFalseTraces=e.plot.selectAll(u.clipOnAxisFalseQuery.join(\",\")).selectAll(\".trace\")),v.length)){var k=e.plot.selectAll(v.join(\",\")).selectAll(\".trace\");e.zoomScalePts=k.selectAll(\"path.point\"),e.zoomScaleTxt=k.selectAll(\".textpoint\")}}function m(t,e){var r=e.plotgroup,n=e.id,i=u.layerValue2layerClass[e.xaxis.layer],a=u.layerValue2layerClass[e.yaxis.layer],o=t._fullLayout._hasOnlyLargeSploms;if(e.mainplot){var s=e.mainplotinfo,l=s.plotgroup,f=n+\"-x\",d=n+\"-y\";e.minorGridlayer=s.minorGridlayer,e.gridlayer=s.gridlayer,e.zerolinelayer=s.zerolinelayer,h(s.overlinesBelow,\"path\",f),h(s.overlinesBelow,\"path\",d),h(s.overaxesBelow,\"g\",f),h(s.overaxesBelow,\"g\",d),e.plot=h(s.overplot,\"g\",n),h(s.overlinesAbove,\"path\",f),h(s.overlinesAbove,\"path\",d),h(s.overaxesAbove,\"g\",f),h(s.overaxesAbove,\"g\",d),e.xlines=l.select(\".overlines-\"+i).select(\".\"+f),e.ylines=l.select(\".overlines-\"+a).select(\".\"+d),e.xaxislayer=l.select(\".overaxes-\"+i).select(\".\"+f),e.yaxislayer=l.select(\".overaxes-\"+a).select(\".\"+d)}else 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yt=b(\"rangeslider\",\"handleDefaults\"),xt=b(\"rangeselector\",\"handleDefaults\");for(y=0;y<j.length;y++)q=j[y],W=t[q],X=e[q],yt(t,e,q),\"date\"===X.type&&xt(W,X,e,U,X.calendar),K(\"fixedrange\");for(y=0;y<U.length;y++){q=U[y],W=t[q],X=e[q];var bt=e[m(X.anchor)];K(\"fixedrange\",b(\"rangeslider\",\"isVisible\")(bt))}h.handleDefaults(t,e,{axIds:rt.concat(it).sort(d.idSort),axHasImage:P})}},{\"../../components/color\":366,\"../../components/fx/helpers\":402,\"../../components/fx/hovermode_defaults\":405,\"../../lib\":503,\"../../plot_api/plot_template\":543,\"../../registry\":638,\"../layout_attributes\":610,\"./axis_defaults\":556,\"./axis_ids\":558,\"./constants\":561,\"./constraints\":562,\"./layout_attributes\":569,\"./position_defaults\":572,\"./type_defaults\":582}],571:[function(t,e,r){\"use strict\";var n=t(\"tinycolor2\").mix,i=t(\"../../components/color/attributes\"),a=t(\"../../lib\");e.exports=function(t,e,r,o){var s=(o=o||{}).dfltColor;function l(r,n){return a.coerce2(t,e,o.attributes,r,n)}var c=l(\"linecolor\",s),u=l(\"linewidth\");r(\"showline\",o.showLine||!!c||!!u)||(delete e.linecolor,delete e.linewidth);var f=l(\"gridcolor\",n(s,o.bgColor,o.blend||i.lightFraction).toRgbString()),h=l(\"gridwidth\"),p=l(\"griddash\");if(r(\"showgrid\",o.showGrid||!!f||!!h||!!p)||(delete e.gridcolor,delete e.gridwidth,delete e.griddash),o.hasMinor){var d=l(\"minor.gridcolor\",n(e.gridcolor,o.bgColor,67).toRgbString()),m=l(\"minor.gridwidth\",e.gridwidth||1),g=l(\"minor.griddash\",e.griddash||\"solid\");r(\"minor.showgrid\",!!d||!!m||!!g)||(delete e.minor.gridcolor,delete e.minor.gridwidth,delete e.minor.griddash)}if(!o.noZeroLine){var v=l(\"zerolinecolor\",s),y=l(\"zerolinewidth\");r(\"zeroline\",o.showGrid||!!v||!!y)||(delete e.zerolinecolor,delete e.zerolinewidth)}}},{\"../../components/color/attributes\":365,\"../../lib\":503,tinycolor2:312}],572:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib\");e.exports=function(t,e,r,a){var o,s,l,c,u=a.counterAxes||[],f=a.overlayableAxes||[],h=a.letter,p=a.grid;p&&(s=p._domains[h][p._axisMap[e._id]],o=p._anchors[e._id],s&&(l=p[h+\"side\"].split(\" \")[0],c=p.domain[h][\"right\"===l||\"top\"===l?1:0])),s=s||[0,1],o=o||(n(t.position)?\"free\":u[0]||\"free\"),l=l||(\"x\"===h?\"bottom\":\"left\"),c=c||0,\"free\"===i.coerce(t,e,{anchor:{valType:\"enumerated\",values:[\"free\"].concat(u),dflt:o}},\"anchor\")&&r(\"position\",c),i.coerce(t,e,{side:{valType:\"enumerated\",values:\"x\"===h?[\"bottom\",\"top\"]:[\"left\",\"right\"],dflt:l}},\"side\");var d=!1;if(f.length&&(d=i.coerce(t,e,{overlaying:{valType:\"enumerated\",values:[!1].concat(f),dflt:!1}},\"overlaying\")),!d){var m=r(\"domain\",s);m[0]>m[1]-1/4096&&(e.domain=s),i.noneOrAll(t.domain,e.domain,s)}return r(\"layer\"),e}},{\"../../lib\":503,\"fast-isnumeric\":190}],573:[function(t,e,r){\"use strict\";var n=t(\"./show_dflt\");e.exports=function(t,e,r,i,a){a||(a={});var o=a.tickSuffixDflt,s=n(t);r(\"tickprefix\")&&r(\"showtickprefix\",s),r(\"ticksuffix\",o)&&r(\"showticksuffix\",s)}},{\"./show_dflt\":577}],574:[function(t,e,r){\"use strict\";var n=t(\"../../constants/alignment\").FROM_BL;e.exports=function(t,e,r){void 0===r&&(r=n[t.constraintoward||\"center\"]);var i=[t.r2l(t.range[0]),t.r2l(t.range[1])],a=i[0]+(i[1]-i[0])*r;t.range=t._input.range=[t.l2r(a+(i[0]-a)*e),t.l2r(a+(i[1]-a)*e)],t.setScale()}},{\"../../constants/alignment\":471}],575:[function(t,e,r){\"use strict\";var n=t(\"polybooljs\"),i=t(\"../../registry\"),a=t(\"../../components/drawing\").dashStyle,o=t(\"../../components/color\"),s=t(\"../../components/fx\"),l=t(\"../../components/fx/helpers\").makeEventData,c=t(\"../../components/dragelement/helpers\"),u=c.freeMode,f=c.rectMode,h=c.drawMode,p=c.openMode,d=c.selectMode,m=t(\"../../components/shapes/draw_newshape/display_outlines\"),g=t(\"../../components/shapes/draw_newshape/helpers\").handleEllipse,v=t(\"../../components/shapes/draw_newshape/newshapes\"),y=t(\"../../lib\"),x=t(\"../../lib/polygon\"),b=t(\"../../lib/throttle\"),_=t(\"./axis_ids\").getFromId,w=t(\"../../lib/clear_gl_canvases\"),T=t(\"../../plot_api/subroutines\").redrawReglTraces,k=t(\"./constants\"),A=k.MINSELECT,M=x.filter,S=x.tester,E=t(\"./handle_outline\").clearSelect,L=t(\"./helpers\"),C=L.p2r,P=L.axValue,I=L.getTransform;function O(t,e,r,n,i,a,o){var s,l,c,u,f,h,d,g,v,y=e._hoverdata,x=e._fullLayout.clickmode.indexOf(\"event\")>-1,b=[];if(function(t){return 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e=[],r=z(t[0])?0:t[0][0][0],n=r,i=z(t[0])?0:t[0][0][1],a=i,o=0;o<t.length;o++)if(z(t[o]))e.push(D(t[o]));else{var s=x.tester(t[o]);s.subtract=t[o].subtract,e.push(s),r=Math.min(r,s.xmin),n=Math.max(n,s.xmax),i=Math.min(i,s.ymin),a=Math.max(a,s.ymax)}return{xmin:r,xmax:n,ymin:i,ymax:a,pts:[],contains:function(t,r,n,i){for(var a=!1,o=0;o<e.length;o++)e[o].contains(t,r,n,i)&&(a=!1===e[o].subtract);return a},isRect:!1,degenerate:!1}}function F(t,e,r){e._fullLayout._drawing=!1;var n=e._fullLayout,i=r.plotinfo,a=r.dragmode,o=n._lastSelectedSubplot&&n._lastSelectedSubplot===i.id,s=(t.shiftKey||t.altKey)&&!(h(a)&&p(a));o&&s&&i.selection&&i.selection.selectionDefs&&!r.selectionDefs?(r.selectionDefs=i.selection.selectionDefs,r.mergedPolygons=i.selection.mergedPolygons):s&&i.selection||B(r),o||(E(e),n._lastSelectedSubplot=i.id)}function B(t){var e=t.dragmode,r=t.plotinfo,n=t.gd;if(n._fullLayout._activeShapeIndex>=0&&n._fullLayout._deactivateShape(n),h(e)){var 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r=this.bounds,n=(e.framewidth||0)/2,i=r[0][0]-n,a=r[0][1]-n,o=r[1][0]-i+n,s=r[1][1]-a+n;h.setRect(this.clipRect,i,a,o,s),this.bgRect.call(h.setRect,i,a,o,s).call(f.fill,e.bgcolor),this.xaxis._offset=i,this.xaxis._length=o,this.yaxis._offset=a,this.yaxis._length=s},S.updateFx=function(t,e){var r=this,i=r.graphDiv,a=r.bgRect,o=t.dragmode,s=t.clickmode;if(!r.isStatic){var u;\"select\"===o?u=function(t,e){(t.range={})[r.id]=[h([e.xmin,e.ymin]),h([e.xmax,e.ymax])]}:\"lasso\"===o&&(u=function(t,e,n){(t.lassoPoints={})[r.id]=n.filtered.map(h)});var f={element:r.bgRect.node(),gd:i,plotinfo:{id:r.id,xaxis:r.xaxis,yaxis:r.yaxis,fillRangeItems:u},xaxes:[r.xaxis],yaxes:[r.yaxis],subplot:r.id,clickFn:function(t){2===t&&x(i)}};\"pan\"===o?(a.node().onmousedown=null,a.call(_(r,e)),a.on(\"dblclick.zoom\",(function(){var t=r.viewInitial,e={};for(var n in 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t=this,e=t.graphDiv,r=e._fullLayout,i=\"clip\"+r._uid+t.id;t.clipDef=r._clips.append(\"clipPath\").attr(\"id\",i),t.clipRect=t.clipDef.append(\"rect\"),t.framework=n.select(t.container).append(\"g\").attr(\"class\",\"geo \"+t.id).call(h.setClipUrl,i,e),t.project=function(e){var r=t.projection(e);return r?[r[0]-t.xaxis._offset,r[1]-t.yaxis._offset]:[null,null]},t.xaxis={_id:\"x\",c2p:function(e){return t.project(e)[0]}},t.yaxis={_id:\"y\",c2p:function(e){return t.project(e)[1]}},t.mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},m.setConvert(t.mockAxis,r)},S.saveViewInitial=function(t){var 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e=t._fullLayout,r=t.calcdata,i=e._subplots.geo,s=0;s<i.length;s++){var l=i[s],c=n(r,o,l),u=e[l]._subplot;u||(u=a({id:l,graphDiv:t,container:e._geolayer.node(),topojsonURL:t._context.topojsonURL,staticPlot:t._context.staticPlot}),e[l]._subplot=u),u.plot(c,e,t._promises)}},updateFx:function(t){for(var e=t._fullLayout,r=e._subplots.geo,n=0;n<r.length;n++){var i=e[r[n]];i._subplot.updateFx(e,i)}},clean:function(t,e,r,n){for(var i=n._subplots.geo||[],a=0;a<i.length;a++){var o=i[a],s=n[o]._subplot;!e[o]&&s&&(s.framework.remove(),s.clipDef.remove())}}}},{\"../../lib\":503,\"../../plots/get_data\":593,\"./geo\":588,\"./layout_attributes\":590,\"./layout_defaults\":591}],590:[function(t,e,r){\"use strict\";var n=t(\"../../components/color/attributes\"),i=t(\"../domain\").attributes,a=t(\"../../components/drawing/attributes\").dash,o=t(\"./constants\"),s=t(\"../../plot_api/edit_types\").overrideAll,l=t(\"../../lib/sort_object_keys\"),c={range:{valType:\"info_array\",items:[{valType:\"number\"},{valType:\"number\"}]},showgrid:{valType:\"boolean\",dflt:!1},tick0:{valType:\"number\",dflt:0},dtick:{valType:\"number\"},gridcolor:{valType:\"color\",dflt:n.lightLine},gridwidth:{valType:\"number\",min:0,dflt:1},griddash:a};(e.exports=s({domain:i({name:\"geo\"},{}),fitbounds:{valType:\"enumerated\",values:[!1,\"locations\",\"geojson\"],dflt:!1,editType:\"plot\"},resolution:{valType:\"enumerated\",values:[110,50],dflt:110,coerceNumber:!0},scope:{valType:\"enumerated\",values:l(o.scopeDefaults),dflt:\"world\"},projection:{type:{valType:\"enumerated\",values:l(o.projNames)},rotation:{lon:{valType:\"number\"},lat:{valType:\"number\"},roll:{valType:\"number\"}},tilt:{valType:\"number\",dflt:0},distance:{valType:\"number\",min:1.001,dflt:2},parallels:{valType:\"info_array\",items:[{valType:\"number\"},{valType:\"number\"}]},scale:{valType:\"number\",min:0,dflt:1}},center:{lon:{valType:\"number\"},lat:{valType:\"number\"}},visible:{valType:\"boolean\",dflt:!0},showcoastlines:{valType:\"boolean\"},coastlinecolor:{valType:\"color\",dflt:n.defaultLine},coastlinewidth:{valType:\"number\",min:0,dflt:1},showland:{valType:\"boolean\",dflt:!1},landcolor:{valType:\"color\",dflt:o.landColor},showocean:{valType:\"boolean\",dflt:!1},oceancolor:{valType:\"color\",dflt:o.waterColor},showlakes:{valType:\"boolean\",dflt:!1},lakecolor:{valType:\"color\",dflt:o.waterColor},showrivers:{valType:\"boolean\",dflt:!1},rivercolor:{valType:\"color\",dflt:o.waterColor},riverwidth:{valType:\"number\",min:0,dflt:1},showcountries:{valType:\"boolean\"},countrycolor:{valType:\"color\",dflt:n.defaultLine},countrywidth:{valType:\"number\",min:0,dflt:1},showsubunits:{valType:\"boolean\"},subunitcolor:{valType:\"color\",dflt:n.defaultLine},subunitwidth:{valType:\"number\",min:0,dflt:1},showframe:{valType:\"boolean\"},framecolor:{valType:\"color\",dflt:n.defaultLine},framewidth:{valType:\"number\",min:0,dflt:1},bgcolor:{valType:\"color\",dflt:n.background},lonaxis:c,lataxis:c},\"plot\",\"from-root\")).uirevision={valType:\"any\",editType:\"none\"}},{\"../../components/color/attributes\":365,\"../../components/drawing/attributes\":387,\"../../lib/sort_object_keys\":526,\"../../plot_api/edit_types\":536,\"../domain\":584,\"./constants\":587}],591:[function(t,e,r){\"use 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d=(e=s[h]).charAt(0);for(n=(r=t[this.scene[e]._name]).title.text===this.scene.fullLayout._dfltTitle[d]?\"\":r.title.text,p=0;p<=2;p+=2)this.labelEnable[h+p]=!1,this.labels[h+p]=n,this.labelColor[h+p]=i(r.title.font.color),this.labelFont[h+p]=r.title.font.family,this.labelSize[h+p]=r.title.font.size,this.labelPad[h+p]=this.getLabelPad(e,r),this.tickEnable[h+p]=!1,this.tickColor[h+p]=i((r.tickfont||{}).color),this.tickAngle[h+p]=\"auto\"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[h+p]=this.getTickPad(r),this.tickMarkLength[h+p]=0,this.tickMarkWidth[h+p]=r.tickwidth||0,this.tickMarkColor[h+p]=i(r.tickcolor),this.borderLineEnable[h+p]=!1,this.borderLineColor[h+p]=i(r.linecolor),this.borderLineWidth[h+p]=r.linewidth||0;c=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!c,l=this.hasAxisInAltrPos(e,r)&&!c,a=r.mirror||!1,u=c?-1!==String(a).indexOf(\"all\"):!!a,f=c?\"allticks\"===a:-1!==String(a).indexOf(\"ticks\"),o?this.labelEnable[h]=!0:l&&(this.labelEnable[h+2]=!0),o?this.tickEnable[h]=r.showticklabels:l&&(this.tickEnable[h+2]=r.showticklabels),(o||u)&&(this.borderLineEnable[h]=r.showline),(l||u)&&(this.borderLineEnable[h+2]=r.showline),(o||f)&&(this.tickMarkLength[h]=this.getTickMarkLength(r)),(l||f)&&(this.tickMarkLength[h+2]=this.getTickMarkLength(r)),this.gridLineEnable[h]=r.showgrid,this.gridLineColor[h]=i(r.gridcolor),this.gridLineWidth[h]=r.gridwidth,this.zeroLineEnable[h]=r.zeroline,this.zeroLineColor[h]=i(r.zerolinecolor),this.zeroLineWidth[h]=r.zerolinewidth}},o.hasSharedAxis=function(t){var 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n=t(\"../../plot_api/edit_types\").overrideAll,i=t(\"./scene2d\"),a=t(\"../layout_attributes\"),o=t(\"../../constants/xmlns_namespaces\"),s=t(\"../cartesian/constants\"),l=t(\"../cartesian\"),c=t(\"../../components/fx/layout_attributes\"),u=t(\"../get_data\").getSubplotData;r.name=\"gl2d\",r.attr=[\"xaxis\",\"yaxis\"],r.idRoot=[\"x\",\"y\"],r.idRegex=s.idRegex,r.attrRegex=s.attrRegex,r.attributes=t(\"../cartesian/attributes\"),r.supplyLayoutDefaults=function(t,e,r){e._has(\"cartesian\")||l.supplyLayoutDefaults(t,e,r)},r.layoutAttrOverrides=n(l.layoutAttributes,\"plot\",\"from-root\"),r.baseLayoutAttrOverrides=n({plot_bgcolor:a.plot_bgcolor,hoverlabel:c.hoverlabel},\"plot\",\"nested\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,a=0;a<n.length;a++){var o=n[a],s=e._plots[o],l=u(r,\"gl2d\",o),c=s._scene2d;void 0===c&&(c=new i({id:o,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=c),c.plot(l,t.calcdata,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=n._subplots.gl2d||[],a=0;a<i.length;a++){var o=i[a],s=n._plots[o];if(s._scene2d){var c=u(t,\"gl2d\",o);0===c.length&&(s._scene2d.destroy(),delete n._plots[o])}}l.clean.apply(this,arguments)},r.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var i=e._plots[r[n]]._scene2d,a=i.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":a,x:0,y:0,width:\"100%\",height:\"100%\",preserveAspectRatio:\"none\"}),i.destroy()}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){e._plots[r[n]]._scene2d.updateFx(e.dragmode)}}},{\"../../components/fx/layout_attributes\":407,\"../../constants/xmlns_namespaces\":480,\"../../plot_api/edit_types\":536,\"../cartesian\":568,\"../cartesian/attributes\":552,\"../cartesian/constants\":561,\"../get_data\":593,\"../layout_attributes\":610,\"./scene2d\":597}],597:[function(t,e,r){\"use strict\";var n,i,a=t(\"../../registry\"),o=t(\"../../plots/cartesian/axes\"),s=t(\"../../components/fx\"),l=t(\"../../../stackgl_modules\").gl_plot2d,c=t(\"../../../stackgl_modules\").gl_spikes2d,u=t(\"../../../stackgl_modules\").gl_select_box,f=t(\"webgl-context\"),h=t(\"./convert\"),p=t(\"./camera\"),d=t(\"../../lib/show_no_webgl_msg\"),m=t(\"../cartesian/constraints\"),g=m.enforce,v=m.clean,y=t(\"../cartesian/autorange\").doAutoRange,x=t(\"../../components/dragelement/helpers\"),b=x.drawMode,_=x.selectMode,w=[\"xaxis\",\"yaxis\"],T=t(\"../cartesian/constants\").SUBPLOT_PATTERN;function k(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context._scrollZoom.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=h(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=c(this.glplot),this.selectBox=u(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}e.exports=k;var A=k.prototype;A.makeFramework=function(){if(this.staticPlot){if(!(i||(n=document.createElement(\"canvas\"),i=f({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"Error creating static canvas/context for image server\");this.canvas=n,this.gl=i}else{var t=this.container.querySelector(\".gl-canvas-focus\"),e=f({canvas:t,preserveDrawingBuffer:!0,premultipliedAlpha:!0});if(!e)return d(this),void(this.stopped=!0);this.canvas=t,this.gl=e}var r=this.canvas;r.style.width=\"100%\",r.style.height=\"100%\",r.style.position=\"absolute\",r.style.top=\"0px\",r.style.left=\"0px\",r.style[\"pointer-events\"]=\"none\",this.updateSize(r);var a=this.svgContainer=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");a.style.position=\"absolute\",a.style.top=a.style.left=\"0px\",a.style.width=a.style.height=\"100%\",a.style[\"z-index\"]=20,a.style[\"pointer-events\"]=\"none\";var o=this.mouseContainer=document.createElement(\"div\");o.style.position=\"absolute\",o.style[\"pointer-events\"]=\"auto\",this.pickCanvas=this.container.querySelector(\".gl-canvas-pick\");var s=this.container;s.appendChild(a),s.appendChild(o);var l=this;o.addEventListener(\"mouseout\",(function(){l.isMouseOver=!1,l.unhover()})),o.addEventListener(\"mouseover\",(function(){l.isMouseOver=!0}))},A.toImage=function(t){t||(t=\"png\"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a);for(var o=0,s=i-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var c=0;c<4;++c){var u=a[4*(r*o+l)+c];a[4*(r*o+l)+c]=a[4*(r*s+l)+c],a[4*(r*s+l)+c]=u}var f=document.createElement(\"canvas\");f.width=r,f.height=i;var h,p=f.getContext(\"2d\",{willReadFrequently:!0}),d=p.createImageData(r,i);switch(d.data.set(a),p.putImageData(d,0,0),t){case\"jpeg\":h=f.toDataURL(\"image/jpeg\");break;case\"webp\":h=f.toDataURL(\"image/webp\");break;default:h=f.toDataURL(\"image/png\")}return this.staticPlot&&this.container.removeChild(n),h},A.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,i=r.height,a=0|Math.ceil(e*n),o=0|Math.ceil(e*i);return t.width===a&&t.height===o||(t.width=a,t.height=o),t},A.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+\"\";return t},A.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(T),r=\"xaxis\"+e[1],n=\"yaxis\"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},A.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,i={},o=i[e._name+\".range\"]=e.range.slice(),s=i[r._name+\".range\"]=r.range.slice();i[e._name+\".autorange\"]=e.autorange,i[r._name+\".autorange\"]=r.autorange,a.call(\"_storeDirectGUIEdit\",t.layout,t._fullLayout._preGUI,i);var l=n[e._name];l.range=o,l.autorange=e.autorange;var c=n[r._name];c.range=s,c.autorange=r.autorange,i.lastInputTime=this.camera.lastInputTime,t.emit(\"plotly_relayout\",i)},A.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;a<n.length;++a)if(n[a].x!==i[a].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},A.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&a.getComponentMethod(\"annotations\",\"drawOne\")(t,r)}},A.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map((function(e){t[e].dispose(),delete t[e]})),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null}},A.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var i=r.width,a=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,i,a];var s={_fullLayout:{_axisConstraintGroups:r._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis,_size:r._size}};v(s,this.xaxis),v(s,this.yaxis);var l,c,u=r._size,f=this.xaxis.domain,h=this.yaxis.domain;for(o.viewBox=[u.l+f[0]*u.w,u.b+h[0]*u.h,i-u.r-(1-f[1])*u.w,a-u.t-(1-h[1])*u.h],this.mouseContainer.style.width=u.w*(f[1]-f[0])+\"px\",this.mouseContainer.style.height=u.h*(h[1]-h[0])+\"px\",this.mouseContainer.height=u.h*(h[1]-h[0]),this.mouseContainer.style.left=u.l+f[0]*u.w+\"px\",this.mouseContainer.style.top=u.t+(1-h[1])*u.h+\"px\",c=0;c<2;++c)(l=this[w[c]])._length=o.viewBox[c+2]-o.viewBox[c],y(this.graphDiv,l),l.setScale();g(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},A.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,i=t.r2l,a=e.r2l;return[i(r[0]),a(n[0]),i(r[1]),a(n[1])]},A.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,i=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[i(t[1]),i(t[3])]},A.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if((i=t[n]).uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){i=t[r];var l=e[r],c=this.traces[i.uid];c?c.update(i,l):(c=i._module.plot(this,i,l),this.traces[i.uid]=c)}this.glplot.objects.sort((function(t,e){return t._trace.index-e._trace.index}))},A.updateFx=function(t){_(t)||b(t)?(this.pickCanvas.style[\"pointer-events\"]=\"none\",this.mouseContainer.style[\"pointer-events\"]=\"none\"):(this.pickCanvas.style[\"pointer-events\"]=\"auto\",this.mouseContainer.style[\"pointer-events\"]=\"auto\"),this.mouseContainer.style.cursor=\"pan\"===t?\"move\":\"zoom\"===t?\"crosshair\":null},A.emitPointAction=function(t,e){for(var r,n=t.trace.uid,i=t.pointIndex,a=0;a<this.fullData.length;a++)this.fullData[a].uid===n&&(r=this.fullData[a]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:i,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,i),this.graphDiv.emit(e,{points:[o]})},A.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,i=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var a,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&\"zoom\"===i.dragmode){this.selectBox.enabled=!0;for(var c=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],u=0;u<2;u++)e.boxStart[u]===e.boxEnd[u]&&(c[u]=t.dataBox[u],c[u+2]=t.dataBox[u+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var f=i._size,h=this.xaxis.domain,p=this.yaxis.domain,d=(a=t.pick(o/t.pixelRatio+f.l+h[0]*f.w,l/t.pixelRatio-(f.t+(1-p[1])*f.h)))&&a.object._trace.handlePick(a);if(d&&n&&this.emitPointAction(d,\"plotly_click\"),a&&\"skip\"!==a.object._trace.hoverinfo&&i.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var m=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),m.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,\"plotly_hover\");var g=this.fullData[m.trace.index]||{},v=m.pointIndex,y=s.castHoverinfo(g,i,v);if(y&&\"all\"!==y){var x=y.split(\"+\");-1===x.indexOf(\"x\")&&(m.traceCoord[0]=void 0),-1===x.indexOf(\"y\")&&(m.traceCoord[1]=void 0),-1===x.indexOf(\"z\")&&(m.traceCoord[2]=void 0),-1===x.indexOf(\"text\")&&(m.textLabel=void 0),-1===x.indexOf(\"name\")&&(m.name=void 0)}s.loneHover({x:m.screenCoord[0],y:m.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",m.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",m.traceCoord[1]),zLabel:m.traceCoord[2],text:m.textLabel,name:m.name,color:s.castHoverOption(g,v,\"bgcolor\")||m.color,borderColor:s.castHoverOption(g,v,\"bordercolor\"),fontFamily:s.castHoverOption(g,v,\"font.family\"),fontSize:s.castHoverOption(g,v,\"font.size\"),fontColor:s.castHoverOption(g,v,\"font.color\"),nameLength:s.castHoverOption(g,v,\"namelength\"),textAlign:s.castHoverOption(g,v,\"align\")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},A.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),s.loneUnhover(this.svgContainer))},A.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),\"hover\").text}}},{\"../../../stackgl_modules\":1124,\"../../components/dragelement/helpers\":384,\"../../components/fx\":406,\"../../lib/show_no_webgl_msg\":525,\"../../plots/cartesian/axes\":554,\"../../registry\":638,\"../cartesian/autorange\":553,\"../cartesian/constants\":561,\"../cartesian/constraints\":562,\"./camera\":594,\"./convert\":595,\"webgl-context\":331}],598:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,i=t(\"../../components/fx/layout_attributes\"),a=t(\"./scene\"),o=t(\"../get_data\").getSubplotData,s=t(\"../../lib\"),l=t(\"../../constants/xmlns_namespaces\");r.name=\"gl3d\",r.attr=\"scene\",r.idRoot=\"scene\",r.idRegex=r.attrRegex=s.counterRegex(\"scene\"),r.attributes=t(\"./layout/attributes\"),r.layoutAttributes=t(\"./layout/layout_attributes\"),r.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},\"plot\",\"nested\"),r.supplyLayoutDefaults=t(\"./layout/defaults\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl3d,i=0;i<n.length;i++){var s=n[i],l=o(r,\"gl3d\",s),c=e[s],u=c.camera,f=c._scene;f||(f=new a({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:u},e),c._scene=f),f.viewInitial||(f.viewInitial={up:{x:u.up.x,y:u.up.y,z:u.up.z},eye:{x:u.eye.x,y:u.eye.y,z:u.eye.z},center:{x:u.center.x,y:u.center.y,z:u.center.z}}),f.plot(l,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=n._subplots.gl3d||[],a=0;a<i.length;a++){var o=i[a];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+o).remove())}},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=e._size,i=0;i<r.length;i++){var a=e[r[i]],o=a.domain,s=a._scene,c=s.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:l.svg,\"xlink:href\":c,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:\"none\"}),s.destroy()}},r.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),\"scene\"+e}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=0;n<r.length;n++){e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}}},{\"../../components/fx/layout_attributes\":407,\"../../constants/xmlns_namespaces\":480,\"../../lib\":503,\"../../plot_api/edit_types\":536,\"../get_data\":593,\"./layout/attributes\":599,\"./layout/defaults\":603,\"./layout/layout_attributes\":604,\"./scene\":608}],599:[function(t,e,r){\"use strict\";e.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},{}],600:[function(t,e,r){\"use strict\";var n=t(\"../../../components/color\"),i=t(\"../../cartesian/layout_attributes\"),a=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../plot_api/edit_types\").overrideAll;e.exports=o({visible:i.visible,showspikes:{valType:\"boolean\",dflt:!0},spikesides:{valType:\"boolean\",dflt:!0},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:n.defaultLine},showbackground:{valType:\"boolean\",dflt:!1},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 0.5)\"},showaxeslabels:{valType:\"boolean\",dflt:!0},color:i.color,categoryorder:i.categoryorder,categoryarray:i.categoryarray,title:{text:i.title.text,font:i.title.font},type:a({},i.type,{values:[\"-\",\"linear\",\"log\",\"date\",\"category\"]}),autotypenumbers:i.autotypenumbers,autorange:i.autorange,rangemode:i.rangemode,range:a({},i.range,{items:[{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}}],anim:!1}),tickmode:i.tickmode,nticks:i.nticks,tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,mirror:i.mirror,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,tickfont:i.tickfont,tickangle:i.tickangle,tickprefix:i.tickprefix,showtickprefix:i.showtickprefix,ticksuffix:i.ticksuffix,showticksuffix:i.showticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,minexponent:i.minexponent,separatethousands:i.separatethousands,tickformat:i.tickformat,tickformatstops:i.tickformatstops,hoverformat:i.hoverformat,showline:i.showline,linecolor:i.linecolor,linewidth:i.linewidth,showgrid:i.showgrid,gridcolor:a({},i.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:i.gridwidth,zeroline:i.zeroline,zerolinecolor:i.zerolinecolor,zerolinewidth:i.zerolinewidth,_deprecated:{title:i._deprecated.title,titlefont:i._deprecated.titlefont}},\"plot\",\"from-root\")},{\"../../../components/color\":366,\"../../../lib/extend\":493,\"../../../plot_api/edit_types\":536,\"../../cartesian/layout_attributes\":569}],601:[function(t,e,r){\"use strict\";var n=t(\"tinycolor2\").mix,i=t(\"../../../lib\"),a=t(\"../../../plot_api/plot_template\"),o=t(\"./axis_attributes\"),s=t(\"../../cartesian/type_defaults\"),l=t(\"../../cartesian/axis_defaults\"),c=[\"xaxis\",\"yaxis\",\"zaxis\"];e.exports=function(t,e,r){var u,f;function h(t,e){return i.coerce(u,f,o,t,e)}for(var p=0;p<c.length;p++){var d=c[p];u=t[d]||{},(f=a.newContainer(e,d))._id=d[0]+r.scene,f._name=d,s(u,f,h,r),l(u,f,h,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelstep:!0,noTicklabelposition:!0,noTicklabeloverflow:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),h(\"gridcolor\",n(f.color,r.bgColor,13600/187).toRgbString()),h(\"title.text\",d[0]),f.setScale=i.noop,h(\"showspikes\")&&(h(\"spikesides\"),h(\"spikethickness\"),h(\"spikecolor\",f.color)),h(\"showaxeslabels\"),h(\"showbackground\")&&h(\"backgroundcolor\")}}},{\"../../../lib\":503,\"../../../plot_api/plot_template\":543,\"../../cartesian/axis_defaults\":556,\"../../cartesian/type_defaults\":582,\"./axis_attributes\":600,tinycolor2:312}],602:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),i=t(\"../../../lib\"),a=[\"xaxis\",\"yaxis\",\"zaxis\"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"Open Sans\",\"Open Sans\",\"Open Sans\"],this.labelSize=[20,20,20],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var r=0;r<3;++r){var o=e[a[r]];o.visible?(this.labels[r]=t._meta?i.templateString(o.title.text,t._meta):o.title.text,\"font\"in o.title&&(o.title.font.color&&(this.labelColor[r]=n(o.title.font.color)),o.title.font.family&&(this.labelFont[r]=o.title.font.family),o.title.font.size&&(this.labelSize[r]=o.title.font.size)),\"showline\"in o&&(this.lineEnable[r]=o.showline),\"linecolor\"in o&&(this.lineColor[r]=n(o.linecolor)),\"linewidth\"in o&&(this.lineWidth[r]=o.linewidth),\"showgrid\"in o&&(this.gridEnable[r]=o.showgrid),\"gridcolor\"in o&&(this.gridColor[r]=n(o.gridcolor)),\"gridwidth\"in o&&(this.gridWidth[r]=o.gridwidth),\"log\"===o.type?this.zeroEnable[r]=!1:\"zeroline\"in o&&(this.zeroEnable[r]=o.zeroline),\"zerolinecolor\"in o&&(this.zeroLineColor[r]=n(o.zerolinecolor)),\"zerolinewidth\"in o&&(this.zeroLineWidth[r]=o.zerolinewidth),\"ticks\"in o&&o.ticks?this.lineTickEnable[r]=!0:this.lineTickEnable[r]=!1,\"ticklen\"in o&&(this.lineTickLength[r]=this._defaultLineTickLength[r]=o.ticklen),\"tickcolor\"in o&&(this.lineTickColor[r]=n(o.tickcolor)),\"tickwidth\"in o&&(this.lineTickWidth[r]=o.tickwidth),\"tickangle\"in o&&(this.tickAngle[r]=\"auto\"===o.tickangle?-3600:Math.PI*-o.tickangle/180),\"showticklabels\"in o&&(this.tickEnable[r]=o.showticklabels),\"tickfont\"in o&&(o.tickfont.color&&(this.tickColor[r]=n(o.tickfont.color)),o.tickfont.family&&(this.tickFont[r]=o.tickfont.family),o.tickfont.size&&(this.tickSize[r]=o.tickfont.size)),\"mirror\"in o?-1!==[\"ticks\",\"all\",\"allticks\"].indexOf(o.mirror)?(this.lineTickMirror[r]=!0,this.lineMirror[r]=!0):!0===o.mirror?(this.lineTickMirror[r]=!1,this.lineMirror[r]=!0):(this.lineTickMirror[r]=!1,this.lineMirror[r]=!1):this.lineMirror[r]=!1,\"showbackground\"in o&&!1!==o.showbackground?(this.backgroundEnable[r]=!0,this.backgroundColor[r]=n(o.backgroundcolor)):this.backgroundEnable[r]=!1):(this.tickEnable[r]=!1,this.labelEnable[r]=!1,this.lineEnable[r]=!1,this.lineTickEnable[r]=!1,this.gridEnable[r]=!1,this.zeroEnable[r]=!1,this.backgroundEnable[r]=!1)}},e.exports=function(t,e){var r=new o;return r.merge(t,e),r}},{\"../../../lib\":503,\"../../../lib/str2rgbarray\":528}],603:[function(t,e,r){\"use strict\";var n=t(\"../../../lib\"),i=t(\"../../../components/color\"),a=t(\"../../../registry\"),o=t(\"../../subplot_defaults\"),s=t(\"./axis_defaults\"),l=t(\"./layout_attributes\"),c=t(\"../../get_data\").getSubplotData;function u(t,e,r,n){for(var o=r(\"bgcolor\"),l=i.combine(o,n.paper_bgcolor),u=[\"up\",\"center\",\"eye\"],f=0;f<u.length;f++)r(\"camera.\"+u[f]+\".x\"),r(\"camera.\"+u[f]+\".y\"),r(\"camera.\"+u[f]+\".z\");r(\"camera.projection.type\");var h=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),p=r(\"aspectmode\",h?\"manual\":\"auto\");h||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\"manual\"===p&&(e.aspectmode=\"auto\"),t.aspectmode=e.aspectmode);var d=c(n.fullData,\"gl3d\",n.id);s(t,e,{font:n.font,scene:n.id,data:d,bgColor:l,calendar:n.calendar,autotypenumbersDflt:n.autotypenumbersDflt,fullLayout:n.fullLayout}),a.getComponentMethod(\"annotations3d\",\"handleDefaults\")(t,e,n);var m=n.getDfltFromLayout(\"dragmode\");if(!1!==m&&!m)if(m=\"orbit\",t.camera&&t.camera.up){var g=t.camera.up.x,v=t.camera.up.y,y=t.camera.up.z;0!==y&&(g&&v&&y?y/Math.sqrt(g*g+v*v+y*y)>.999&&(m=\"turntable\"):m=\"turntable\")}else m=\"turntable\";r(\"dragmode\",m),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}e.exports=function(t,e,r){var i=e._basePlotModules.length>1;o(t,e,r,{type:\"gl3d\",attributes:l,handleDefaults:u,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!i)return n.validate(t[e],l[e])?t[e]:void 0},autotypenumbersDflt:e.autotypenumbers,paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},{\"../../../components/color\":366,\"../../../lib\":503,\"../../../registry\":638,\"../../get_data\":593,\"../../subplot_defaults\":632,\"./axis_defaults\":601,\"./layout_attributes\":604}],604:[function(t,e,r){\"use strict\";var n=t(\"./axis_attributes\"),i=t(\"../../domain\").attributes,a=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../lib\").counterRegex;function s(t,e,r){return{x:{valType:\"number\",dflt:t,editType:\"camera\"},y:{valType:\"number\",dflt:e,editType:\"camera\"},z:{valType:\"number\",dflt:r,editType:\"camera\"},editType:\"camera\"}}e.exports={_arrayAttrRegexps:[o(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:a(s(0,0,1),{}),center:a(s(0,0,0),{}),eye:a(s(1.25,1.25,1.25),{}),projection:{type:{valType:\"enumerated\",values:[\"perspective\",\"orthographic\"],dflt:\"perspective\",editType:\"calc\"},editType:\"calc\"},editType:\"camera\"},domain:i({name:\"scene\",editType:\"plot\"}),aspectmode:{valType:\"enumerated\",values:[\"auto\",\"cube\",\"data\",\"manual\"],dflt:\"auto\",editType:\"plot\",impliedEdits:{\"aspectratio.x\":void 0,\"aspectratio.y\":void 0,\"aspectratio.z\":void 0}},aspectratio:{x:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},y:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},z:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},editType:\"plot\",impliedEdits:{aspectmode:\"manual\"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],editType:\"plot\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},editType:\"plot\",_deprecated:{cameraposition:{valType:\"info_array\",editType:\"camera\"}}}},{\"../../../lib\":503,\"../../../lib/extend\":493,\"../../domain\":584,\"./axis_attributes\":600}],605:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),i=[\"xaxis\",\"yaxis\",\"zaxis\"];function a(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}a.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},e.exports=function(t){var e=new a;return e.merge(t),e}},{\"../../../lib/str2rgbarray\":528}],606:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],c=0;c<3;++c){var u=s[a[c]];if(u._length=(r[c].hi-r[c].lo)*r[c].pixelsPerDataUnit/t.dataScale[c],Math.abs(u._length)===1/0||isNaN(u._length))l[c]=[];else{u._input_range=u.range.slice(),u.range[0]=r[c].lo/t.dataScale[c],u.range[1]=r[c].hi/t.dataScale[c],u._m=1/(t.dataScale[c]*r[c].pixelsPerDataUnit),u.range[0]===u.range[1]&&(u.range[0]-=1,u.range[1]+=1);var f=u.tickmode;if(\"auto\"===u.tickmode){u.tickmode=\"linear\";var h=u.nticks||i.constrain(u._length/40,4,9);n.autoTicks(u,Math.abs(u.range[1]-u.range[0])/h)}for(var p=n.calcTicks(u,{msUTC:!0}),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[c],\"date\"===u.type&&(p[d].text=p[d].text.replace(/\\<br\\>/g,\" \"));l[c]=p,u.tickmode=f}}e.ticks=l;for(c=0;c<3;++c){o[c]=.5*(t.glplot.bounds[0][c]+t.glplot.bounds[1][c]);for(d=0;d<2;++d)e.bounds[d][c]=t.glplot.bounds[d][c]}t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;e[r]=i}return e}(l)};var n=t(\"../../cartesian/axes\"),i=t(\"../../../lib\"),a=[\"xaxis\",\"yaxis\",\"zaxis\"],o=[0,0,0]},{\"../../../lib\":503,\"../../cartesian/axes\":554}],607:[function(t,e,r){\"use strict\";function n(t,e){var r,n,i=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)i[n]+=t[4*r+n]*e[r];return i}e.exports=function(t,e){return n(t.projection,n(t.view,n(t.model,[e[0],e[1],e[2],1])))}},{}],608:[function(t,e,r){\"use strict\";var n,i,a=t(\"../../../stackgl_modules\").gl_plot3d,o=a.createCamera,s=a.createScene,l=t(\"webgl-context\"),c=t(\"has-passive-events\"),u=t(\"../../registry\"),f=t(\"../../lib\"),h=f.preserveDrawingBuffer(),p=t(\"../../plots/cartesian/axes\"),d=t(\"../../components/fx\"),m=t(\"../../lib/str2rgbarray\"),g=t(\"../../lib/show_no_webgl_msg\"),v=t(\"./project\"),y=t(\"./layout/convert\"),x=t(\"./layout/spikes\"),b=t(\"./layout/tick_marks\");function _(t,e){var r=document.createElement(\"div\"),n=t.container;this.graphDiv=t.graphDiv;var i=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");i.style.position=\"absolute\",i.style.top=i.style.left=\"0px\",i.style.width=i.style.height=\"100%\",i.style[\"z-index\"]=20,i.style[\"pointer-events\"]=\"none\",r.appendChild(i),this.svgContainer=i,r.id=t.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=e,this.id=t.id||\"scene\",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=y(e,e[this.id]),this.spikeOptions=x(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=u.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=u.getComponentMethod(\"annotations3d\",\"draw\"),this.initializeGLPlot()}var w=_.prototype;w.prepareOptions=function(){var t={canvas:this.canvas,gl:this.gl,glOptions:{preserveDrawingBuffer:h,premultipliedAlpha:!0,antialias:!0},container:this.container,axes:this.axesOptions,spikes:this.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:this.camera,pixelRatio:this.pixelRatio};if(this.staticMode){if(!(i||(n=document.createElement(\"canvas\"),i=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for image server\");t.gl=i,t.canvas=n}return t};var T=!0;w.tryCreatePlot=function(){var t=this.prepareOptions(),e=!0;try{this.glplot=s(t)}catch(r){if(this.staticMode||!T||h)e=!1;else{f.warn([\"webgl setup failed possibly due to\",\"false preserveDrawingBuffer config.\",\"The mobile/tablet device may not be detected by is-mobile module.\",\"Enabling preserveDrawingBuffer in second attempt to create webgl scene...\"].join(\" \"));try{h=t.glOptions.preserveDrawingBuffer=!0,this.glplot=s(t)}catch(r){h=t.glOptions.preserveDrawingBuffer=!1,e=!1}}}return T=!1,e},w.initializeGLCamera=function(){var t=this.fullSceneLayout.camera,e=\"orthographic\"===t.projection.type;this.camera=o(this.container,{center:[t.center.x,t.center.y,t.center.z],eye:[t.eye.x,t.eye.y,t.eye.z],up:[t.up.x,t.up.y,t.up.z],_ortho:e,zoomMin:.01,zoomMax:100,mode:\"orbit\"})},w.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return g(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+\".camera\"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+\".aspectratio\"]=t.glplot.getAspectratio(),\"manual\"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+\".aspectmode\"]=\"manual\")),e},i=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit(\"plotly_relayout\",e)}};return t.glplot.canvas&&(t.glplot.canvas.addEventListener(\"mouseup\",(function(){i(t)})),t.glplot.canvas.addEventListener(\"wheel\",(function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}}),!!c&&{passive:!1}),t.glplot.canvas.addEventListener(\"mousemove\",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit(\"plotly_relayouting\",e)}})),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",(function(r){e&&e.emit&&e.emit(\"plotly_webglcontextlost\",{event:r,layer:t.id})}),!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},w.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,i=e.container.getBoundingClientRect();r._fullLayout._calcInverseTransform(r);var a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+s+\" \"+l),n.setAttributeNS(null,\"width\",s),n.setAttributeNS(null,\"height\",l),b(e),e.glplot.axes.update(e.axesOptions);for(var c=Object.keys(e.traces),u=null,h=e.glplot.selection,m=0;m<c.length;++m)\"skip\"!==(t=e.traces[c[m]]).data.hoverinfo&&t.handlePick(h)&&(u=t),t.setContourLevels&&t.setContourLevels();function g(t,r,n){var i=e.fullSceneLayout[t+\"axis\"];return\"log\"!==i.type&&(r=i.d2l(r)),p.hoverLabelText(i,r,n)}if(null!==u){var y=v(e.glplot.cameraParams,h.dataCoordinate);t=u.data;var x,_=r._fullData[t.index],w=h.index,T={xLabel:g(\"x\",h.traceCoordinate[0],t.xhoverformat),yLabel:g(\"y\",h.traceCoordinate[1],t.yhoverformat),zLabel:g(\"z\",h.traceCoordinate[2],t.zhoverformat)},k=d.castHoverinfo(_,e.fullLayout,w),A=(k||\"\").split(\"+\"),M=k&&\"all\"===k;_.hovertemplate||M||(-1===A.indexOf(\"x\")&&(T.xLabel=void 0),-1===A.indexOf(\"y\")&&(T.yLabel=void 0),-1===A.indexOf(\"z\")&&(T.zLabel=void 0),-1===A.indexOf(\"text\")&&(h.textLabel=void 0),-1===A.indexOf(\"name\")&&(u.name=void 0));var S=[];\"cone\"===t.type||\"streamtube\"===t.type?(T.uLabel=g(\"x\",h.traceCoordinate[3],t.uhoverformat),(M||-1!==A.indexOf(\"u\"))&&S.push(\"u: \"+T.uLabel),T.vLabel=g(\"y\",h.traceCoordinate[4],t.vhoverformat),(M||-1!==A.indexOf(\"v\"))&&S.push(\"v: \"+T.vLabel),T.wLabel=g(\"z\",h.traceCoordinate[5],t.whoverformat),(M||-1!==A.indexOf(\"w\"))&&S.push(\"w: \"+T.wLabel),T.normLabel=h.traceCoordinate[6].toPrecision(3),(M||-1!==A.indexOf(\"norm\"))&&S.push(\"norm: \"+T.normLabel),\"streamtube\"===t.type&&(T.divergenceLabel=h.traceCoordinate[7].toPrecision(3),(M||-1!==A.indexOf(\"divergence\"))&&S.push(\"divergence: \"+T.divergenceLabel)),h.textLabel&&S.push(h.textLabel),x=S.join(\"<br>\")):\"isosurface\"===t.type||\"volume\"===t.type?(T.valueLabel=p.hoverLabelText(e._mockAxis,e._mockAxis.d2l(h.traceCoordinate[3]),t.valuehoverformat),S.push(\"value: \"+T.valueLabel),h.textLabel&&S.push(h.textLabel),x=S.join(\"<br>\")):x=h.textLabel;var E={x:h.traceCoordinate[0],y:h.traceCoordinate[1],z:h.traceCoordinate[2],data:_._input,fullData:_,curveNumber:_.index,pointNumber:w};d.appendArrayPointValue(E,_,w),t._module.eventData&&(E=_._module.eventData(E,h,_,{},w));var L={points:[E]};if(e.fullSceneLayout.hovermode){var C=[];d.loneHover({trace:_,x:(.5+.5*y[0]/y[3])*s,y:(.5-.5*y[1]/y[3])*l,xLabel:T.xLabel,yLabel:T.yLabel,zLabel:T.zLabel,text:x,name:u.name,color:d.castHoverOption(_,w,\"bgcolor\")||u.color,borderColor:d.castHoverOption(_,w,\"bordercolor\"),fontFamily:d.castHoverOption(_,w,\"font.family\"),fontSize:d.castHoverOption(_,w,\"font.size\"),fontColor:d.castHoverOption(_,w,\"font.color\"),nameLength:d.castHoverOption(_,w,\"namelength\"),textAlign:d.castHoverOption(_,w,\"align\"),hovertemplate:f.castOption(_,w,\"hovertemplate\"),hovertemplateLabels:f.extendFlat({},E,T),eventData:[E]},{container:n,gd:r,inOut_bbox:C}),E.bbox=C[0]}h.buttons&&h.distance<5?r.emit(\"plotly_click\",L):r.emit(\"plotly_hover\",L),this.oldEventData=L}else d.loneUnhover(n),this.oldEventData&&r.emit(\"plotly_unhover\",this.oldEventData),this.oldEventData=void 0;e.drawAnnotations(e)},w.recoverContext=function(){var t=this;t.glplot.dispose();var e=function(){t.glplot.gl.isContextLost()?requestAnimationFrame(e):t.initializeGLPlot()?t.plot.apply(t,t.plotArgs):f.error(\"Catastrophic and unrecoverable WebGL error. Context lost.\")};requestAnimationFrame(e)};var k=[\"xaxis\",\"yaxis\",\"zaxis\"];function A(t,e,r){for(var n=t.fullSceneLayout,i=0;i<3;i++){var a=k[i],o=a.charAt(0),s=n[a],l=e[o],c=e[o+\"calendar\"],u=e[\"_\"+o+\"length\"];if(f.isArrayOrTypedArray(l))for(var h,p=0;p<(u||l.length);p++)if(f.isArrayOrTypedArray(l[p]))for(var d=0;d<l[p].length;++d)h=s.d2l(l[p][d],0,c),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else h=s.d2l(l[p],0,c),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else r[0][i]=Math.min(r[0][i],0),r[1][i]=Math.max(r[1][i],u-1)}}w.plot=function(t,e,r){if(this.plotArgs=[t,e,r],!this.glplot.contextLost){var n,i,a,o,s,l,c=e[this.id],u=r[this.id];this.fullLayout=e,this.fullSceneLayout=c,this.axesOptions.merge(e,c),this.spikeOptions.merge(c),this.setViewport(c),this.updateFx(c.dragmode,c.hovermode),this.camera.enableWheel=this.graphDiv._context._scrollZoom.gl3d,this.glplot.setClearColor(m(c.bgcolor)),this.setConvert(s),t?Array.isArray(t)||(t=[t]):t=[];var f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(a=0;a<t.length;++a)!0===(n=t[a]).visible&&0!==n._length&&A(this,n,f);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],i=0;i<3;i++)for(var a=k[i],o=a.charAt(0),s=r[a],l=0;l<n.length;l++){var c=n[l];if(c.visible){var u=s.r2l(c[o]);!isNaN(u)&&isFinite(u)&&(e[0][i]=Math.min(e[0][i],u),e[1][i]=Math.max(e[1][i],u))}}}(this,f);var h=[1,1,1];for(o=0;o<3;++o)f[1][o]===f[0][o]?h[o]=1:h[o]=1/(f[1][o]-f[0][o]);for(this.dataScale=h,this.convertAnnotations(this),a=0;a<t.length;++a)!0===(n=t[a]).visible&&0!==n._length&&((i=this.traces[n.uid])?i.data.type===n.type?i.update(n):(i.dispose(),i=n._module.plot(this,n),this.traces[n.uid]=i):(i=n._module.plot(this,n),this.traces[n.uid]=i),i.name=n.name);var p=Object.keys(this.traces);t:for(a=0;a<p.length;++a){for(o=0;o<t.length;++o)if(t[o].uid===p[a]&&!0===t[o].visible&&0!==t[o]._length)continue t;(i=this.traces[p[a]]).dispose(),delete this.traces[p[a]]}this.glplot.objects.sort((function(t,e){return t._trace.data.index-e._trace.data.index}));var d,g=[[0,0,0],[0,0,0]],v=[],y={};for(a=0;a<3;++a){if((l=(s=c[k[a]]).type)in y?(y[l].acc*=h[a],y[l].count+=1):y[l]={acc:h[a],count:1},s.autorange){g[0][a]=1/0,g[1][a]=-1/0;var x=this.glplot.objects,b=this.fullSceneLayout.annotations||[],_=s._name.charAt(0);for(o=0;o<x.length;o++){var w=x[o],T=w.bounds,M=w._trace.data._pad||0;\"ErrorBars\"===w.constructor.name&&s._lowerLogErrorBound?g[0][a]=Math.min(g[0][a],s._lowerLogErrorBound):g[0][a]=Math.min(g[0][a],T[0][a]/h[a]-M),g[1][a]=Math.max(g[1][a],T[1][a]/h[a]+M)}for(o=0;o<b.length;o++){var S=b[o];if(S.visible){var E=s.r2l(S[_]);g[0][a]=Math.min(g[0][a],E),g[1][a]=Math.max(g[1][a],E)}}if(\"rangemode\"in s&&\"tozero\"===s.rangemode&&(g[0][a]=Math.min(g[0][a],0),g[1][a]=Math.max(g[1][a],0)),g[0][a]>g[1][a])g[0][a]=-1,g[1][a]=1;else{var L=g[1][a]-g[0][a];g[0][a]-=L/32,g[1][a]+=L/32}if(\"reversed\"===s.autorange){var C=g[0][a];g[0][a]=g[1][a],g[1][a]=C}}else{var P=s.range;g[0][a]=s.r2l(P[0]),g[1][a]=s.r2l(P[1])}g[0][a]===g[1][a]&&(g[0][a]-=1,g[1][a]+=1),v[a]=g[1][a]-g[0][a],this.glplot.setBounds(a,{min:g[0][a]*h[a],max:g[1][a]*h[a]})}var I=c.aspectmode;if(\"cube\"===I)d=[1,1,1];else if(\"manual\"===I){var O=c.aspectratio;d=[O.x,O.y,O.z]}else{if(\"auto\"!==I&&\"data\"!==I)throw new Error(\"scene.js aspectRatio was not one of the enumerated types\");var z=[1,1,1];for(a=0;a<3;++a){var D=y[l=(s=c[k[a]]).type];z[a]=Math.pow(D.acc,1/D.count)/h[a]}d=\"data\"===I||Math.max.apply(null,z)/Math.min.apply(null,z)<=4?z:[1,1,1]}c.aspectratio.x=u.aspectratio.x=d[0],c.aspectratio.y=u.aspectratio.y=d[1],c.aspectratio.z=u.aspectratio.z=d[2],this.glplot.setAspectratio(c.aspectratio),this.viewInitial.aspectratio||(this.viewInitial.aspectratio={x:c.aspectratio.x,y:c.aspectratio.y,z:c.aspectratio.z}),this.viewInitial.aspectmode||(this.viewInitial.aspectmode=c.aspectmode);var R=c.domain||null,F=e._size||null;if(R&&F){var B=this.container.style;B.position=\"absolute\",B.left=F.l+R.x[0]*F.w+\"px\",B.top=F.t+(1-R.y[1])*F.h+\"px\",B.width=F.w*(R.x[1]-R.x[0])+\"px\",B.height=F.h*(R.y[1]-R.y[0])+\"px\"}this.glplot.redraw()}},w.destroy=function(){this.glplot&&(this.camera.mouseListener.enabled=!1,this.container.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null,this.glplot.dispose(),this.container.parentNode.removeChild(this.container),this.glplot=null)},w.getCamera=function(){var t;return this.camera.view.recalcMatrix(this.camera.view.lastT()),{up:{x:(t=this.camera).up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]},projection:{type:!0===t._ortho?\"orthographic\":\"perspective\"}}},w.setViewport=function(t){var e,r=t.camera;this.camera.lookAt.apply(this,[[(e=r).eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]),this.glplot.setAspectratio(t.aspectratio),\"orthographic\"===r.projection.type!==this.camera._ortho&&(this.glplot.redraw(),this.glplot.clearRGBA(),this.glplot.dispose(),this.initializeGLPlot())},w.isCameraChanged=function(t){var e=this.getCamera(),r=f.nestedProperty(t,this.id+\".camera\").get();function n(t,e,r,n){var i=[\"up\",\"center\",\"eye\"],a=[\"x\",\"y\",\"z\"];return e[i[r]]&&t[i[r]][a[n]]===e[i[r]][a[n]]}var i=!1;if(void 0===r)i=!0;else{for(var a=0;a<3;a++)for(var o=0;o<3;o++)if(!n(e,r,a,o)){i=!0;break}(!r.projection||e.projection&&e.projection.type!==r.projection.type)&&(i=!0)}return i},w.isAspectChanged=function(t){var e=this.glplot.getAspectratio(),r=f.nestedProperty(t,this.id+\".aspectratio\").get();return void 0===r||r.x!==e.x||r.y!==e.y||r.z!==e.z},w.saveLayout=function(t){var e,r,n,i,a,o,s=this.fullLayout,l=this.isCameraChanged(t),c=this.isAspectChanged(t),h=l||c;if(h){var p={};if(l&&(e=this.getCamera(),n=(r=f.nestedProperty(t,this.id+\".camera\")).get(),p[this.id+\".camera\"]=n),c&&(i=this.glplot.getAspectratio(),o=(a=f.nestedProperty(t,this.id+\".aspectratio\")).get(),p[this.id+\".aspectratio\"]=o),u.call(\"_storeDirectGUIEdit\",t,s._preGUI,p),l)r.set(e),f.nestedProperty(s,this.id+\".camera\").set(e);if(c)a.set(i),f.nestedProperty(s,this.id+\".aspectratio\").set(i),this.glplot.redraw()}return h},w.updateFx=function(t,e){var r=this.camera;if(r)if(\"orbit\"===t)r.mode=\"orbit\",r.keyBindingMode=\"rotate\";else if(\"turntable\"===t){r.up=[0,0,1],r.mode=\"turntable\",r.keyBindingMode=\"rotate\";var n=this.graphDiv,i=n._fullLayout,a=this.fullSceneLayout.camera,o=a.up.x,s=a.up.y,l=a.up.z;if(l/Math.sqrt(o*o+s*s+l*l)<.999){var c=this.id+\".camera.up\",h={x:0,y:0,z:1},p={};p[c]=h;var d=n.layout;u.call(\"_storeDirectGUIEdit\",d,i._preGUI,p),a.up=h,f.nestedProperty(d,c).set(h)}}else r.keyBindingMode=t;this.fullSceneLayout.hovermode=e},w.toImage=function(t){t||(t=\"png\"),this.staticMode&&this.container.appendChild(n),this.glplot.redraw();var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a),function(t,e,r){for(var n=0,i=r-1;n<i;++n,--i)for(var a=0;a<e;++a)for(var o=0;o<4;++o){var s=4*(e*n+a)+o,l=4*(e*i+a)+o,c=t[s];t[s]=t[l],t[l]=c}}(a,r,i),function(t,e,r){for(var n=0;n<r;++n)for(var i=0;i<e;++i){var a=4*(e*n+i),o=t[a+3];if(o>0)for(var s=255/o,l=0;l<3;++l)t[a+l]=Math.min(s*t[a+l],255)}}(a,r,i);var o=document.createElement(\"canvas\");o.width=r,o.height=i;var s,l=o.getContext(\"2d\",{willReadFrequently:!0}),c=l.createImageData(r,i);switch(c.data.set(a),l.putImageData(c,0,0),t){case\"jpeg\":s=o.toDataURL(\"image/jpeg\");break;case\"webp\":s=o.toDataURL(\"image/webp\");break;default:s=o.toDataURL(\"image/png\")}return this.staticMode&&this.container.removeChild(n),s},w.setConvert=function(){for(var t=0;t<3;t++){var e=this.fullSceneLayout[k[t]];p.setConvert(e,this.fullLayout),e.setScale=f.noop}},w.make4thDimension=function(){var t=this.graphDiv._fullLayout;this._mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},p.setConvert(this._mockAxis,t)},e.exports=_},{\"../../../stackgl_modules\":1124,\"../../components/fx\":406,\"../../lib\":503,\"../../lib/show_no_webgl_msg\":525,\"../../lib/str2rgbarray\":528,\"../../plots/cartesian/axes\":554,\"../../registry\":638,\"./layout/convert\":602,\"./layout/spikes\":605,\"./layout/tick_marks\":606,\"./project\":607,\"has-passive-events\":229,\"webgl-context\":331}],609:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n){n=n||t.length;for(var i=new Array(n),a=0;a<n;a++)i[a]=[t[a],e[a],r[a]];return i}},{}],610:[function(t,e,r){\"use strict\";var n=t(\"./font_attributes\"),i=t(\"./animation_attributes\"),a=t(\"../components/color/attributes\"),o=t(\"../components/shapes/draw_newshape/attributes\"),s=t(\"./pad_attributes\"),l=t(\"../lib/extend\").extendFlat,c=n({editType:\"calc\"});c.family.dflt='\"Open Sans\", verdana, arial, sans-serif',c.size.dflt=12,c.color.dflt=a.defaultLine,e.exports={font:c,title:{text:{valType:\"string\",editType:\"layoutstyle\"},font:n({editType:\"layoutstyle\"}),xref:{valType:\"enumerated\",dflt:\"container\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},yref:{valType:\"enumerated\",dflt:\"container\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},x:{valType:\"number\",min:0,max:1,dflt:.5,editType:\"layoutstyle\"},y:{valType:\"number\",min:0,max:1,dflt:\"auto\",editType:\"layoutstyle\"},xanchor:{valType:\"enumerated\",dflt:\"auto\",values:[\"auto\",\"left\",\"center\",\"right\"],editType:\"layoutstyle\"},yanchor:{valType:\"enumerated\",dflt:\"auto\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],editType:\"layoutstyle\"},pad:l(s({editType:\"layoutstyle\"}),{}),editType:\"layoutstyle\"},uniformtext:{mode:{valType:\"enumerated\",values:[!1,\"hide\",\"show\"],dflt:!1,editType:\"plot\"},minsize:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},editType:\"plot\"},autosize:{valType:\"boolean\",dflt:!1,editType:\"none\"},width:{valType:\"number\",min:10,dflt:700,editType:\"plot\"},height:{valType:\"number\",min:10,dflt:450,editType:\"plot\"},margin:{l:{valType:\"number\",min:0,dflt:80,editType:\"plot\"},r:{valType:\"number\",min:0,dflt:80,editType:\"plot\"},t:{valType:\"number\",min:0,dflt:100,editType:\"plot\"},b:{valType:\"number\",min:0,dflt:80,editType:\"plot\"},pad:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},autoexpand:{valType:\"boolean\",dflt:!0,editType:\"plot\"},editType:\"plot\"},computed:{valType:\"any\",editType:\"none\"},paper_bgcolor:{valType:\"color\",dflt:a.background,editType:\"plot\"},plot_bgcolor:{valType:\"color\",dflt:a.background,editType:\"layoutstyle\"},autotypenumbers:{valType:\"enumerated\",values:[\"convert types\",\"strict\"],dflt:\"convert types\",editType:\"calc\"},separators:{valType:\"string\",editType:\"plot\"},hidesources:{valType:\"boolean\",dflt:!1,editType:\"plot\"},showlegend:{valType:\"boolean\",editType:\"legend\"},colorway:{valType:\"colorlist\",dflt:a.defaults,editType:\"calc\"},datarevision:{valType:\"any\",editType:\"calc\"},uirevision:{valType:\"any\",editType:\"none\"},editrevision:{valType:\"any\",editType:\"none\"},selectionrevision:{valType:\"any\",editType:\"none\"},template:{valType:\"any\",editType:\"calc\"},newshape:o.newshape,activeshape:o.activeshape,meta:{valType:\"any\",arrayOk:!0,editType:\"plot\"},transition:l({},i.transition,{editType:\"none\"}),_deprecated:{title:{valType:\"string\",editType:\"layoutstyle\"},titlefont:n({editType:\"layoutstyle\"})}}},{\"../components/color/attributes\":365,\"../components/shapes/draw_newshape/attributes\":451,\"../lib/extend\":493,\"./animation_attributes\":548,\"./font_attributes\":585,\"./pad_attributes\":618}],611:[function(t,e,r){\"use strict\";var n=t(\"../../lib/sort_object_keys\"),i='\\xa9 <a target=\"_blank\" href=\"https://www.openstreetmap.org/copyright\">OpenStreetMap</a> contributors',a=['\\xa9 <a target=\"_blank\" href=\"https://carto.com/\">Carto</a>',i].join(\" \"),o=['Map tiles by <a target=\"_blank\" href=\"https://stamen.com\">Stamen Design</a>','under <a target=\"_blank\" href=\"https://creativecommons.org/licenses/by/3.0\">CC BY 3.0</a>',\"|\",'Data by <a target=\"_blank\" href=\"https://openstreetmap.org\">OpenStreetMap</a> contributors','under <a target=\"_blank\" href=\"https://www.openstreetmap.org/copyright\">ODbL</a>'].join(\" \"),s={\"open-street-map\":{id:\"osm\",version:8,sources:{\"plotly-osm-tiles\":{type:\"raster\",attribution:i,tiles:[\"https://a.tile.openstreetmap.org/{z}/{x}/{y}.png\",\"https://b.tile.openstreetmap.org/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-osm-tiles\",type:\"raster\",source:\"plotly-osm-tiles\",minzoom:0,maxzoom:22}]},\"white-bg\":{id:\"white-bg\",version:8,sources:{},layers:[{id:\"white-bg\",type:\"background\",paint:{\"background-color\":\"#FFFFFF\"},minzoom:0,maxzoom:22}]},\"carto-positron\":{id:\"carto-positron\",version:8,sources:{\"plotly-carto-positron\":{type:\"raster\",attribution:a,tiles:[\"https://cartodb-basemaps-c.global.ssl.fastly.net/light_all/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-carto-positron\",type:\"raster\",source:\"plotly-carto-positron\",minzoom:0,maxzoom:22}]},\"carto-darkmatter\":{id:\"carto-darkmatter\",version:8,sources:{\"plotly-carto-darkmatter\":{type:\"raster\",attribution:a,tiles:[\"https://cartodb-basemaps-c.global.ssl.fastly.net/dark_all/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-carto-darkmatter\",type:\"raster\",source:\"plotly-carto-darkmatter\",minzoom:0,maxzoom:22}]},\"stamen-terrain\":{id:\"stamen-terrain\",version:8,sources:{\"plotly-stamen-terrain\":{type:\"raster\",attribution:o,tiles:[\"https://stamen-tiles.a.ssl.fastly.net/terrain/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-stamen-terrain\",type:\"raster\",source:\"plotly-stamen-terrain\",minzoom:0,maxzoom:22}]},\"stamen-toner\":{id:\"stamen-toner\",version:8,sources:{\"plotly-stamen-toner\":{type:\"raster\",attribution:o,tiles:[\"https://stamen-tiles.a.ssl.fastly.net/toner/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-stamen-toner\",type:\"raster\",source:\"plotly-stamen-toner\",minzoom:0,maxzoom:22}]},\"stamen-watercolor\":{id:\"stamen-watercolor\",version:8,sources:{\"plotly-stamen-watercolor\":{type:\"raster\",attribution:['Map 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t&&(-1!==p.styleValuesMapbox.indexOf(t)||0===t.indexOf(\"mapbox://\"))}r.name=\"mapbox\",r.attr=\"subplot\",r.idRoot=\"mapbox\",r.idRegex=r.attrRegex=i.counterRegex(\"mapbox\"),r.attributes={subplot:{valType:\"subplotid\",dflt:\"mapbox\",editType:\"calc\"}},r.layoutAttributes=t(\"./layout_attributes\"),r.supplyLayoutDefaults=t(\"./layout_defaults\"),r.plot=function(t){var e=t._fullLayout,r=t.calcdata,a=e._subplots.mapbox;if(n.version!==p.requiredVersion)throw new Error(p.wrongVersionErrorMsg);var o=function(t,e){var r=t._fullLayout;if(\"\"===t._context.mapboxAccessToken)return\"\";for(var n=[],a=[],o=!1,s=!1,l=0;l<e.length;l++){var c=r[e[l]],u=c.accesstoken;d(c.style)&&(u?i.pushUnique(n,u):(d(c._input.style)&&(i.error(\"Uses Mapbox map style, but did not set an access token.\"),o=!0),s=!0)),u&&i.pushUnique(a,u)}if(s){var f=o?p.noAccessTokenErrorMsg:p.missingStyleErrorMsg;throw i.error(f),new Error(f)}return 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m=c.select(s._subplot.div);if(!(null===m.select(\".mapboxgl-ctrl-logo\").node().offsetParent)){var g=e._glimages.append(\"g\");g.attr(\"transform\",a(n.l+n.w*h.x[0]+10,n.t+n.h*(1-h.y[0])-31)),g.append(\"path\").attr(\"d\",p.mapboxLogo.path0).style({opacity:.9,fill:\"#ffffff\",\"enable-background\":\"new\"}),g.append(\"path\").attr(\"d\",p.mapboxLogo.path1).style(\"opacity\",.35).style(\"enable-background\",\"new\"),g.append(\"path\").attr(\"d\",p.mapboxLogo.path2).style(\"opacity\",.35).style(\"enable-background\",\"new\"),g.append(\"polygon\").attr(\"points\",p.mapboxLogo.polygon).style({opacity:.9,fill:\"#ffffff\",\"enable-background\":\"new\"})}var v=m.select(\".mapboxgl-ctrl-attrib\").text().replace(\"Improve this map\",\"\"),y=e._glimages.append(\"g\"),x=y.append(\"text\");x.text(v).classed(\"static-attribution\",!0).attr({\"font-size\":12,\"font-family\":\"Arial\",color:\"rgba(0, 0, 0, 0.75)\",\"text-anchor\":\"end\",\"data-unformatted\":v});var b=u.bBox(x.node()),_=n.w*(h.x[1]-h.x[0]);if(b.width>_/2){var w=v.split(\"|\").join(\"<br>\");x.text(w).attr(\"data-unformatted\",w).call(f.convertToTspans,t),b=u.bBox(x.node())}x.attr(\"transform\",a(-3,8-b.height)),y.insert(\"rect\",\".static-attribution\").attr({x:-b.width-6,y:-b.height-3,width:b.width+6,height:b.height+3,fill:\"rgba(255, 255, 255, 0.75)\"});var T=1;b.width+6>_&&(T=_/(b.width+6));var k=[n.l+n.w*h.x[1],n.t+n.h*(1-h.y[0])];y.attr(\"transform\",a(k[0],k[1])+o(T))}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.mapbox,n=0;n<r.length;n++){e[r[n]]._subplot.updateFx(e)}}},{\"../../components/drawing\":388,\"../../constants/xmlns_namespaces\":480,\"../../lib\":503,\"../../lib/svg_text_utils\":529,\"../../plots/get_data\":593,\"./constants\":611,\"./layout_attributes\":615,\"./layout_defaults\":616,\"./mapbox\":617,\"@plotly/d3\":58,\"mapbox-gl/dist/mapbox-gl-unminified\":239}],614:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../lib/svg_text_utils\").sanitizeHTML,a=t(\"./convert_text_opts\"),o=t(\"./constants\");function s(t,e){this.subplot=t,this.uid=t.uid+\"-\"+e,this.index=e,this.idSource=\"source-\"+this.uid,this.idLayer=o.layoutLayerPrefix+this.uid,this.sourceType=null,this.source=null,this.layerType=null,this.below=null,this.visible=!1}var l=s.prototype;function c(t){if(!t.visible)return!1;var e=t.source;if(Array.isArray(e)&&e.length>0){for(var r=0;r<e.length;r++)if(\"string\"!=typeof e[r]||0===e[r].length)return!1;return!0}return n.isPlainObject(e)||\"string\"==typeof e&&e.length>0}function u(t){var e={},r={};switch(t.type){case\"circle\":n.extendFlat(r,{\"circle-radius\":t.circle.radius,\"circle-color\":t.color,\"circle-opacity\":t.opacity});break;case\"line\":n.extendFlat(r,{\"line-width\":t.line.width,\"line-color\":t.color,\"line-opacity\":t.opacity,\"line-dasharray\":t.line.dash});break;case\"fill\":n.extendFlat(r,{\"fill-color\":t.color,\"fill-outline-color\":t.fill.outlinecolor,\"fill-opacity\":t.opacity});break;case\"symbol\":var i=t.symbol,o=a(i.textposition,i.iconsize);n.extendFlat(e,{\"icon-image\":i.icon+\"-15\",\"icon-size\":i.iconsize/10,\"text-field\":i.text,\"text-size\":i.textfont.size,\"text-anchor\":o.anchor,\"text-offset\":o.offset,\"symbol-placement\":i.placement}),n.extendFlat(r,{\"icon-color\":t.color,\"text-color\":i.textfont.color,\"text-opacity\":t.opacity});break;case\"raster\":n.extendFlat(r,{\"raster-fade-duration\":0,\"raster-opacity\":t.opacity})}return{layout:e,paint:r}}l.update=function(t){this.visible?this.needsNewImage(t)?this.updateImage(t):this.needsNewSource(t)?(this.removeLayer(),this.updateSource(t),this.updateLayer(t)):this.needsNewLayer(t)?this.updateLayer(t):this.updateStyle(t):(this.updateSource(t),this.updateLayer(t)),this.visible=c(t)},l.needsNewImage=function(t){return this.subplot.map.getSource(this.idSource)&&\"image\"===this.sourceType&&\"image\"===t.sourcetype&&(this.source!==t.source||JSON.stringify(this.coordinates)!==JSON.stringify(t.coordinates))},l.needsNewSource=function(t){return this.sourceType!==t.sourcetype||JSON.stringify(this.source)!==JSON.stringify(t.source)||this.layerType!==t.type},l.needsNewLayer=function(t){return this.layerType!==t.type||this.below!==this.subplot.belowLookup[\"layout-\"+this.index]},l.lookupBelow=function(){return this.subplot.belowLookup[\"layout-\"+this.index]},l.updateImage=function(t){this.subplot.map.getSource(this.idSource).updateImage({url:t.source,coordinates:t.coordinates});var e=this.findFollowingMapboxLayerId(this.lookupBelow());null!==e&&this.subplot.map.moveLayer(this.idLayer,e)},l.updateSource=function(t){var e=this.subplot.map;if(e.getSource(this.idSource)&&e.removeSource(this.idSource),this.sourceType=t.sourcetype,this.source=t.source,c(t)){var r=function(t){var e,r=t.sourcetype,n=t.source,a={type:r};\"geojson\"===r?e=\"data\":\"vector\"===r?e=\"string\"==typeof n?\"url\":\"tiles\":\"raster\"===r?(e=\"tiles\",a.tileSize=256):\"image\"===r&&(e=\"url\",a.coordinates=t.coordinates);a[e]=n,t.sourceattribution&&(a.attribution=i(t.sourceattribution));return a}(t);e.addSource(this.idSource,r)}},l.findFollowingMapboxLayerId=function(t){if(\"traces\"===t)for(var e=this.subplot.getMapLayers(),r=0;r<e.length;r++){var n=e[r].id;if(\"string\"==typeof n&&0===n.indexOf(o.traceLayerPrefix)){t=n;break}}return t},l.updateLayer=function(t){var e=this.subplot,r=u(t),n=this.lookupBelow(),i=this.findFollowingMapboxLayerId(n);this.removeLayer(),c(t)&&e.addLayer({id:this.idLayer,source:this.idSource,\"source-layer\":t.sourcelayer||\"\",type:t.type,minzoom:t.minzoom,maxzoom:t.maxzoom,layout:r.layout,paint:r.paint},i),this.layerType=t.type,this.below=n},l.updateStyle=function(t){if(c(t)){var e=u(t);this.subplot.setOptions(this.idLayer,\"setLayoutProperty\",e.layout),this.subplot.setOptions(this.idLayer,\"setPaintProperty\",e.paint)}},l.removeLayer=function(){var t=this.subplot.map;t.getLayer(this.idLayer)&&t.removeLayer(this.idLayer)},l.dispose=function(){var t=this.subplot.map;t.getLayer(this.idLayer)&&t.removeLayer(this.idLayer),t.getSource(this.idSource)&&t.removeSource(this.idSource)},e.exports=function(t,e,r){var n=new s(t,e);return n.update(r),n}},{\"../../lib\":503,\"../../lib/svg_text_utils\":529,\"./constants\":611,\"./convert_text_opts\":612}],615:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/color\").defaultLine,a=t(\"../domain\").attributes,o=t(\"../font_attributes\"),s=t(\"../../traces/scatter/attributes\").textposition,l=t(\"../../plot_api/edit_types\").overrideAll,c=t(\"../../plot_api/plot_template\").templatedArray,u=t(\"./constants\"),f=o({});f.family.dflt=\"Open Sans Regular, Arial Unicode MS 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e,r,s=this,c=s.isSmith,u=s.gd,f=s.layers,h=t._zoomlayer,p=S.MINZOOM,d=S.OFFEDGE,m=s.radius,x=s.innerRadius,T=s.cx,k=s.cy,A=s.cxx,M=s.cyy,L=s.sectorInRad,C=s.vangles,P=s.radialAxis,I=E.clampTiny,O=E.findXYatLength,z=E.findEnclosingVertexAngles,D=S.cornerHalfWidth,R=S.cornerLen/2,F=g.makeDragger(f,\"path\",\"maindrag\",!1===t.dragmode?\"none\":\"crosshair\");n.select(F).attr(\"d\",s.pathSubplot()).attr(\"transform\",l(T,k)),F.onmousemove=function(t){y.hover(u,t,s.id),u._fullLayout._lasthover=F,u._fullLayout._hoversubplot=s.id},F.onmouseout=function(t){u._dragging||v.unhover(u,t)};var B,N,j,U,V,H,q,G,Y,W={element:F,gd:u,subplot:s.id,plotinfo:{id:s.id,xaxis:s.xaxis,yaxis:s.yaxis},xaxes:[s.xaxis],yaxes:[s.yaxis]};function X(t,e){return Math.sqrt(t*t+e*e)}function Z(t,e){return X(t-A,e-M)}function J(t,e){return Math.atan2(M-e,t-A)}function K(t,e){return[t*Math.cos(e),t*Math.sin(-e)]}function Q(t,e){if(0===t)return s.pathSector(2*D);var 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O,z,D,B=g.makeRectDragger(u,T,\"crosshair\",-x,-x,y,y),N={element:B,gd:c};!1===t.dragmode&&(N.dragmode=!1),V(n.select(B),m.visible&&h<f,{transform:l(b,_)}),N.prepFn=function(){O=null,z=null,D=null,N.moveFn=j,N.doneFn=H,w(c)},N.clampFn=function(t,e){return Math.sqrt(t*t+e*e)<S.MINDRAG&&(t=0,e=0),[t,e]},v.init(N)}function j(t,e){if(O)O(t,e);else{var n=[t,-e],a=[Math.cos(M),Math.sin(M)],s=Math.abs(o.dot(n,a)/Math.sqrt(o.dot(n,n)));isNaN(s)||(O=s<.5?q:G)}var l={};!function(t){null!==z?t[i.id+\".radialaxis.angle\"]=z:null!==D&&(t[i.id+\".radialaxis.range[\"+r+\"]\"]=D)}(l),c.emit(\"plotly_relayouting\",l)}function H(){null!==z?a.call(\"_guiRelayout\",c,i.id+\".radialaxis.angle\",z):null!==D&&a.call(\"_guiRelayout\",c,i.id+\".radialaxis.range[\"+r+\"]\",D)}function q(t,e){if(0!==r){var n=b+t,a=_+e;z=Math.atan2(d-a,n-p),i.vangles&&(z=U(z,i.vangles)),z=F(z);var o=l(p,d)+s(-z);u[\"radial-axis\"].attr(\"transform\",o),u[\"radial-line\"].select(\"line\").attr(\"transform\",o);var 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e=this.graphDiv,r=t[this.id],n=this.clipId=\"clip\"+this.layoutId+this.id,i=this.clipIdRelative=\"clip-relative\"+this.layoutId+this.id;this.clipDef=o.ensureSingleById(t._clips,\"clipPath\",n,(function(t){t.append(\"path\").attr(\"d\",\"M0,0Z\")})),this.clipDefRelative=o.ensureSingleById(t._clips,\"clipPath\",i,(function(t){t.append(\"path\").attr(\"d\",\"M0,0Z\")})),this.plotContainer=o.ensureSingle(this.container,\"g\",this.id),this.updateLayers(r),u.setClipUrl(this.layers.backplot,n,e),u.setClipUrl(this.layers.grids,n,e)},S.updateLayers=function(t){var e=this.layers,r=[\"draglayer\",\"plotbg\",\"backplot\",\"grids\"];\"below traces\"===t.aaxis.layer&&r.push(\"aaxis\",\"aline\"),\"below traces\"===t.baxis.layer&&r.push(\"baxis\",\"bline\"),\"below traces\"===t.caxis.layer&&r.push(\"caxis\",\"cline\"),r.push(\"frontplot\"),\"above traces\"===t.aaxis.layer&&r.push(\"aaxis\",\"aline\"),\"above traces\"===t.baxis.layer&&r.push(\"baxis\",\"bline\"),\"above 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r,n,i,a,o,l,p=this,d=t.domain,m=(d.x[0]+d.x[1])/2,g=(d.y[0]+d.y[1])/2,v=d.x[1]-d.x[0],y=d.y[1]-d.y[0],x=v*e.w,b=y*e.h,_=t.sum,w=t.aaxis.min,T=t.baxis.min,k=t.caxis.min;x>E*b?i=(a=b)*E:a=(i=x)/E,o=v*i/x,l=y*a/b,r=e.l+e.w*m-i/2,n=e.t+e.h*(1-g)-a/2,p.x0=r,p.y0=n,p.w=i,p.h=a,p.sum=_,p.xaxis={type:\"linear\",range:[w+2*k-_,_-w-2*T],domain:[m-o/2,m+o/2],_id:\"x\"},f(p.xaxis,p.graphDiv._fullLayout),p.xaxis.setScale(),p.xaxis.isPtWithinRange=function(t){return t.a>=p.aaxis.range[0]&&t.a<=p.aaxis.range[1]&&t.b>=p.baxis.range[1]&&t.b<=p.baxis.range[0]&&t.c>=p.caxis.range[1]&&t.c<=p.caxis.range[0]},p.yaxis={type:\"linear\",range:[w,_-T-k],domain:[g-l/2,g+l/2],_id:\"y\"},f(p.yaxis,p.graphDiv._fullLayout),p.yaxis.setScale(),p.yaxis.isPtWithinRange=function(){return!0};var A=p.yaxis.domain[0],M=p.aaxis=h({},t.aaxis,{range:[w,_-T-k],side:\"left\",tickangle:(+t.aaxis.tickangle||0)-30,domain:[A,A+l*E],anchor:\"free\",position:0,_id:\"y\",_length:i});f(M,p.graphDiv._fullLayout),M.setScale();var 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D=s(r+i/2,n)+\"rotate(-30)\"+s(0,-L._offset);p.layers.caxis.attr(\"transform\",D),p.layers.cgrid.attr(\"transform\",D),p.drawAxes(!0),p.layers.aline.select(\"path\").attr(\"d\",M.showline?\"M\"+r+\",\"+(n+a)+\"l\"+i/2+\",-\"+a:\"M0,0\").call(c.stroke,M.linecolor||\"#000\").style(\"stroke-width\",(M.linewidth||0)+\"px\"),p.layers.bline.select(\"path\").attr(\"d\",S.showline?\"M\"+r+\",\"+(n+a)+\"h\"+i:\"M0,0\").call(c.stroke,S.linecolor||\"#000\").style(\"stroke-width\",(S.linewidth||0)+\"px\"),p.layers.cline.select(\"path\").attr(\"d\",L.showline?\"M\"+(r+i/2)+\",\"+n+\"l\"+i/2+\",\"+a:\"M0,0\").call(c.stroke,L.linecolor||\"#000\").style(\"stroke-width\",(L.linewidth||0)+\"px\"),p.graphDiv._context.staticPlot||p.initInteractions(),u.setClipUrl(p.layers.frontplot,p._hasClipOnAxisFalse?null:p.clipId,p.graphDiv)},S.drawAxes=function(t){var 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L=A.MINZOOM/2+.87,C=\"m-0.87,.5h\"+L+\"v3h-\"+(L+5.2)+\"l\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l2.6,1.5l-\"+L/2+\",\"+.87*L+\"Z\",P=\"m0.87,.5h-\"+L+\"v3h\"+(L+5.2)+\"l-\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l-2.6,1.5l\"+L/2+\",\"+.87*L+\"Z\",I=\"m0,1l\"+L/2+\",\"+.87*L+\"l2.6,-1.5l-\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l-\"+(L/2+2.6)+\",\"+(.87*L+4.5)+\"l2.6,1.5l\"+L/2+\",-\"+.87*L+\"Z\",O=!0;function z(t){n.select(t).selectAll(\".zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners\").remove()}S.clearSelect=function(){k(this.dragOptions),T(this.dragOptions.gd)},S.initInteractions=function(){var t,e,r,n,f,h,p,d,v,b,T,k,M=this,S=M.layers.plotbg.select(\"path\").node(),L=M.graphDiv,D=L._fullLayout._zoomlayer;function R(t){var e={};return e[M.id+\".aaxis.min\"]=t.a,e[M.id+\".baxis.min\"]=t.b,e[M.id+\".caxis.min\"]=t.c,e}function F(t,e){var 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r=t/M.xaxis._m,n=e/M.yaxis._m,i=[(p={a:f.a-n,b:f.b+(r+n)/2,c:f.c-(r-n)/2}).a,p.b,p.c].sort(o.sorterAsc),a=i.indexOf(p.a),l=i.indexOf(p.b),c=i.indexOf(p.c);i[0]<0&&(i[1]+i[0]/2<0?(i[2]+=i[0]+i[1],i[0]=i[1]=0):(i[2]+=i[0]/2,i[1]+=i[0]/2,i[0]=0),p={a:i[a],b:i[l],c:i[c]},e=(f.a-p.a)*M.yaxis._m,t=(f.c-p.c-f.b+p.b)*M.xaxis._m);var h=s(M.x0+t,M.y0+e);M.plotContainer.selectAll(\".scatterlayer,.maplayer\").attr(\"transform\",h);var d=s(-t,-e);M.clipDefRelative.select(\"path\").attr(\"transform\",d),M.aaxis.range=[p.a,M.sum-p.b-p.c],M.baxis.range=[M.sum-p.a-p.c,p.b],M.caxis.range=[M.sum-p.a-p.b,p.c],M.drawAxes(!1),M._hasClipOnAxisFalse&&M.plotContainer.select(\".scatterlayer\").selectAll(\".trace\").call(u.hideOutsideRangePoints,M),L.emit(\"plotly_relayouting\",R(p))}function 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n=t(\"../../components/colorscale/defaults\"),i=t(\"./label_defaults\");e.exports=function(t,e,r,a,o){var s,l=r(\"contours.coloring\"),c=\"\";\"fill\"===l&&(s=r(\"contours.showlines\")),!1!==s&&(\"lines\"!==l&&(c=r(\"line.color\",\"#000\")),r(\"line.width\",.5),r(\"line.dash\")),\"none\"!==l&&(!0!==t.showlegend&&(e.showlegend=!1),e._dfltShowLegend=!1,n(t,e,a,r,{prefix:\"\",cLetter:\"z\"})),r(\"line.smoothing\"),i(r,a,c,o)}},{\"../../components/colorscale/defaults\":376,\"./label_defaults\":750}],757:[function(t,e,r){\"use strict\";var n=t(\"../heatmap/attributes\"),i=t(\"../contour/attributes\"),a=t(\"../../components/colorscale/attributes\"),o=t(\"../../lib/extend\").extendFlat,s=i.contours;e.exports=o({carpet:{valType:\"string\",editType:\"calc\"},z:n.z,a:n.x,a0:n.x0,da:n.dx,b:n.y,b0:n.y0,db:n.dy,text:n.text,hovertext:n.hovertext,transpose:n.transpose,atype:n.xtype,btype:n.ytype,fillcolor:i.fillcolor,autocontour:i.autocontour,ncontours:i.ncontours,contours:{type:s.type,start:s.start,end:s.end,size:s.size,coloring:{valType:\"enumerated\",values:[\"fill\",\"lines\",\"none\"],dflt:\"fill\",editType:\"calc\"},showlines:s.showlines,showlabels:s.showlabels,labelfont:s.labelfont,labelformat:s.labelformat,operation:s.operation,value:s.value,editType:\"calc\",impliedEdits:{autocontour:!1}},line:{color:i.line.color,width:i.line.width,dash:i.line.dash,smoothing:i.line.smoothing,editType:\"plot\"},transforms:void 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n=t(\"../pie/layout_attributes\").hiddenlabels;e.exports={hiddenlabels:n,funnelareacolorway:{valType:\"colorlist\",editType:\"calc\"},extendfunnelareacolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},{\"../pie/layout_attributes\":908}],789:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./layout_attributes\");e.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"hiddenlabels\"),r(\"funnelareacolorway\",e.colorway),r(\"extendfunnelareacolors\")}},{\"../../lib\":503,\"./layout_attributes\":788}],790:[function(t,e,r){\"use strict\";var 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n=t(\"../scatter/attributes\"),i=t(\"../../plots/attributes\"),a=t(\"../../plots/font_attributes\"),o=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,s=t(\"../../plots/template_attributes\").hovertemplateAttrs,l=t(\"../../plots/template_attributes\").texttemplateAttrs,c=t(\"../../components/colorscale/attributes\"),u=t(\"../../lib/extend\").extendFlat;e.exports=u({z:{valType:\"data_array\",editType:\"calc\"},x:u({},n.x,{impliedEdits:{xtype:\"array\"}}),x0:u({},n.x0,{impliedEdits:{xtype:\"scaled\"}}),dx:u({},n.dx,{impliedEdits:{xtype:\"scaled\"}}),y:u({},n.y,{impliedEdits:{ytype:\"array\"}}),y0:u({},n.y0,{impliedEdits:{ytype:\"scaled\"}}),dy:u({},n.dy,{impliedEdits:{ytype:\"scaled\"}}),xperiod:u({},n.xperiod,{impliedEdits:{xtype:\"scaled\"}}),yperiod:u({},n.yperiod,{impliedEdits:{ytype:\"scaled\"}}),xperiod0:u({},n.xperiod0,{impliedEdits:{xtype:\"scaled\"}}),yperiod0:u({},n.yperiod0,{impliedEdits:{ytype:\"scaled\"}}),xperiodalignment:u({},n.xperiodalignment,{impliedEdits:{xtype:\"scaled\"}}),yperiodalignment:u({},n.yperiodalignment,{impliedEdits:{ytype:\"scaled\"}}),text:{valType:\"data_array\",editType:\"calc\"},hovertext:{valType:\"data_array\",editType:\"calc\"},transpose:{valType:\"boolean\",dflt:!1,editType:\"calc\"},xtype:{valType:\"enumerated\",values:[\"array\",\"scaled\"],editType:\"calc+clearAxisTypes\"},ytype:{valType:\"enumerated\",values:[\"array\",\"scaled\"],editType:\"calc+clearAxisTypes\"},zsmooth:{valType:\"enumerated\",values:[\"fast\",\"best\",!1],dflt:!1,editType:\"calc\"},hoverongaps:{valType:\"boolean\",dflt:!0,editType:\"none\"},connectgaps:{valType:\"boolean\",editType:\"calc\"},xgap:{valType:\"number\",dflt:0,min:0,editType:\"plot\"},ygap:{valType:\"number\",dflt:0,min:0,editType:\"plot\"},xhoverformat:o(\"x\"),yhoverformat:o(\"y\"),zhoverformat:o(\"z\",1),hovertemplate:s(),texttemplate:l({arrayOk:!1,editType:\"plot\"},{keys:[\"x\",\"y\",\"z\",\"text\"]}),textfont:a({editType:\"plot\",autoSize:!0,autoColor:!0,colorEditType:\"style\"}),showlegend:u({},i.showlegend,{dflt:!1})},{transforms:void 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W=_.selectAll(\"g.gauge-outline\").data([x]);W.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"path\"),W.select(\"path\").call(P).call(T),W.exit().remove()}(t,0,e,{radius:U,innerRadius:V,gauge:Y,layer:W,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:g});var X=O.selectAll(\"g.bullet\").data(R?e:[]);X.exit().remove();var Z=O.selectAll(\"g.bulletaxis\").data(R?e:[]);Z.exit().remove(),R&&function(t,e,r,n){var i,a,o,s,c,u=r[0].trace,f=n.gauge,p=n.layer,m=n.gaugeBg,g=n.gaugeOutline,v=n.size,x=u.domain,b=n.transitionOpts,_=n.onComplete;f.enter().append(\"g\").classed(\"bullet\",!0),f.attr(\"transform\",l(v.l,v.t)),p.enter().append(\"g\").classed(\"bulletaxis\",!0).classed(\"crisp\",!0),p.selectAll(\"g.xbulletaxistick,path,text\").remove();var A=v.h,M=u.gauge.bar.thickness*A,S=x.x[0],E=x.x[0]+(x.x[1]-x.x[0])*(u._hasNumber||u._hasDelta?1-h.bulletNumberDomainSize:1);(i=k(t,u.gauge.axis))._id=\"xbulletaxis\",i.domain=[S,E],i.setScale(),a=d.calcTicks(i),o=d.makeTransTickFn(i),s=d.getTickSigns(i)[2],c=v.t+v.h,i.visible&&(d.drawTicks(t,i,{vals:\"inside\"===i.ticks?d.clipEnds(i,a):a,layer:p,path:d.makeTickPath(i,c,s),transFn:o}),d.drawLabels(t,i,{vals:a,layer:p,transFn:o,labelFns:d.makeLabelFns(i,c)}));function L(t){t.attr(\"width\",(function(t){return Math.max(0,i.c2p(t.range[1])-i.c2p(t.range[0]))})).attr(\"x\",(function(t){return i.c2p(t.range[0])})).attr(\"y\",(function(t){return.5*(1-t.thickness)*A})).attr(\"height\",(function(t){return t.thickness*A}))}var C=[m].concat(u.gauge.steps),P=f.selectAll(\"g.bg-bullet\").data(C);P.enter().append(\"g\").classed(\"bg-bullet\",!0).append(\"rect\"),P.select(\"rect\").call(L).call(T),P.exit().remove();var 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n=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,a=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../surface/attributes\"),s=t(\"../../plots/attributes\"),l=t(\"../../lib/extend\").extendFlat;e.exports=l({x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},i:{valType:\"data_array\",editType:\"calc\"},j:{valType:\"data_array\",editType:\"calc\"},k:{valType:\"data_array\",editType:\"calc\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertemplate:a({editType:\"calc\"}),xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),zhoverformat:i(\"z\"),delaunayaxis:{valType:\"enumerated\",values:[\"x\",\"y\",\"z\"],dflt:\"z\",editType:\"calc\"},alphahull:{valType:\"number\",dflt:-1,editType:\"calc\"},intensity:{valType:\"data_array\",editType:\"calc\"},intensitymode:{valType:\"enumerated\",values:[\"vertex\",\"cell\"],dflt:\"vertex\",editType:\"calc\"},color:{valType:\"color\",editType:\"calc\"},vertexcolor:{valType:\"data_array\",editType:\"calc\"},facecolor:{valType:\"data_array\",editType:\"calc\"},transforms:void 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n=t(\"../../components/colorscale/calc\");e.exports=function(t,e){e.intensity&&n(t,e,{vals:e.intensity,containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":374}],869:[function(t,e,r){\"use strict\";var n=t(\"../../../stackgl_modules\").gl_mesh3d,i=t(\"../../../stackgl_modules\").delaunay_triangulate,a=t(\"../../../stackgl_modules\").alpha_shape,o=t(\"../../../stackgl_modules\").convex_hull,s=t(\"../../lib/gl_format_color\").parseColorScale,l=t(\"../../lib/str2rgbarray\"),c=t(\"../../components/colorscale\").extractOpts,u=t(\"../../plots/gl3d/zip3\");function f(t,e,r){this.scene=t,this.uid=r,this.mesh=e,this.name=\"\",this.color=\"#fff\",this.data=null,this.showContour=!1}var h=f.prototype;function p(t){for(var e=[],r=t.length,n=0;n<r;n++)e[n]=l(t[n]);return e}function d(t,e,r,n){for(var i=[],a=e.length,o=0;o<a;o++)i[o]=t.d2l(e[o],0,n)*r;return i}function m(t){for(var e=[],r=t.length,n=0;n<r;n++)e[n]=Math.round(t[n]);return e}function g(t,e){for(var r=t.length,n=0;n<r;n++)if(t[n]<=-.5||t[n]>=e-.5)return!1;return!0}h.handlePick=function(t){if(t.object===this.mesh){var e=t.index=t.data.index;t.data._cellCenter?t.traceCoordinate=t.data.dataCoordinate:t.traceCoordinate=[this.data.x[e],this.data.y[e],this.data.z[e]];var r=this.data.hovertext||this.data.text;return Array.isArray(r)&&void 0!==r[e]?t.textLabel=r[e]:r&&(t.textLabel=r),!0}},h.update=function(t){var e=this.scene,r=e.fullSceneLayout;this.data=t;var n,f=t.x.length,h=u(d(r.xaxis,t.x,e.dataScale[0],t.xcalendar),d(r.yaxis,t.y,e.dataScale[1],t.ycalendar),d(r.zaxis,t.z,e.dataScale[2],t.zcalendar));if(t.i&&t.j&&t.k){if(t.i.length!==t.j.length||t.j.length!==t.k.length||!g(t.i,f)||!g(t.j,f)||!g(t.k,f))return;n=u(m(t.i),m(t.j),m(t.k))}else n=0===t.alphahull?o(h):t.alphahull>0?a(t.alphahull,h):function(t,e){for(var r=[\"x\",\"y\",\"z\"].indexOf(t),n=[],a=e.length,o=0;o<a;o++)n[o]=[e[o][(r+1)%3],e[o][(r+2)%3]];return i(n)}(t.delaunayaxis,h);var v={positions:h,cells:n,lightPosition:[t.lightposition.x,t.lightposition.y,t.lightposition.z],ambient:t.lighting.ambient,diffuse:t.lighting.diffuse,specular:t.lighting.specular,roughness:t.lighting.roughness,fresnel:t.lighting.fresnel,vertexNormalsEpsilon:t.lighting.vertexnormalsepsilon,faceNormalsEpsilon:t.lighting.facenormalsepsilon,opacity:t.opacity,contourEnable:t.contour.show,contourColor:l(t.contour.color).slice(0,3),contourWidth:t.contour.width,useFacetNormals:t.flatshading};if(t.intensity){var y=c(t);this.color=\"#fff\";var x=t.intensitymode;v[x+\"Intensity\"]=t.intensity,v[x+\"IntensityBounds\"]=[y.min,y.max],v.colormap=s(t)}else t.vertexcolor?(this.color=t.vertexcolor[0],v.vertexColors=p(t.vertexcolor)):t.facecolor?(this.color=t.facecolor[0],v.cellColors=p(t.facecolor)):(this.color=t.color,v.meshColor=l(t.color));this.mesh.update(v)},h.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},e.exports=function(t,e){var r=t.glplot.gl,i=n({gl:r}),a=new 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n=t(\"../../lib\").extendFlat,i=t(\"../scatter/attributes\"),a=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,o=t(\"../../components/drawing/attributes\").dash,s=t(\"../../components/fx/attributes\"),l=t(\"../../constants/delta.js\"),c=l.INCREASING.COLOR,u=l.DECREASING.COLOR,f=i.line;function 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E=S.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);S.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})).attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"perpendicular\"===t.parcatsViewModel.arrangement?\"ns-resize\":\"move\"})),k(E),S.exit().remove(),M.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\");var z=e._fullLayout.paper_bgcolor;A.select(\"text.catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"alignment-baseline\",\"middle\").style(\"text-shadow\",f.makeTextShadow(z)).style(\"fill\",\"rgb(0, 0, 0)\").attr(\"x\",(function(t){return d(t)?t.width+5:-5})).attr(\"y\",(function(t){return t.height/2})).text((function(t){return t.model.categoryLabel})).each((function(t){c.font(n.select(this),t.parcatsViewModel.categorylabelfont),f.convertToTspans(n.select(this),e)})),M.append(\"text\").attr(\"class\",\"dimlabel\"),A.select(\"text.dimlabel\").attr(\"text-anchor\",\"middle\").attr(\"alignment-baseline\",\"baseline\").attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"ew-resize\"})).attr(\"x\",(function(t){return t.width/2})).attr(\"y\",-5).text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){c.font(n.select(this),t.parcatsViewModel.labelfont)})),A.selectAll(\"rect.bandrect\").on(\"mouseover\",L).on(\"mouseout\",C),A.exit().remove(),w.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on(\"dragstart\",P).on(\"drag\",I).on(\"dragend\",O)),u.each((function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll(\"g.paths\").selectAll(\"path.path\"),t.dimensionSelection=n.select(this).selectAll(\"g.dimensions\").selectAll(\"g.dimension\")})),u.exit().remove()}function p(t){return t.key}function d(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function m(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function g(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){s.raiseToTop(this),w(n.select(this));var e=y(t),r=x(t);if(t.parcatsViewModel.graphDiv.emit(\"plotly_hover\",{points:e,event:n.event,constraints:r}),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\")){var i,a,l,c=n.mouse(this)[0],f=t.parcatsViewModel.graphDiv,h=t.parcatsViewModel.trace,p=f._fullLayout,d=p._paperdiv.node().getBoundingClientRect(),m=t.parcatsViewModel.graphDiv.getBoundingClientRect();for(l=0;l<t.leftXs.length-1;l++)if(t.leftXs[l]+t.dimWidths[l]-2<=c&&c<=t.leftXs[l+1]+2){var g=t.parcatsViewModel.dimensions[l],v=t.parcatsViewModel.dimensions[l+1];i=(g.x+g.width+v.x)/2,a=(t.topYs[l]+t.topYs[l+1]+t.height)/2;break}var b=t.parcatsViewModel.x+i,_=t.parcatsViewModel.y+a,T=u.mostReadable(t.model.color,[\"black\",\"white\"]),k=t.model.count,A=k/t.parcatsViewModel.model.count,M={countLabel:k,probabilityLabel:A.toFixed(3)},S=[];-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&S.push([\"Count:\",M.countLabel].join(\" \")),-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&S.push([\"P:\",M.probabilityLabel].join(\" \"));var E=S.join(\"<br>\"),L=n.mouse(f)[0];o.loneHover({trace:h,x:b-d.left+m.left,y:_-d.top+m.top,text:E,color:t.model.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:10,fontColor:T,idealAlign:L<b?\"right\":\"left\",hovertemplate:(h.line||{}).hovertemplate,hovertemplateLabels:M,eventData:[{data:h._input,fullData:h,count:k,probability:A}]},{container:p._hoverlayer.node(),outerContainer:p._paper.node(),gd:f})}}}function v(t){if(!t.parcatsViewModel.dragDimension&&(_(n.select(this)),o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(m),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\"))){var e=y(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_unhover\",{points:e,event:n.event,constraints:r})}}function y(t){for(var e=[],r=z(t.parcatsViewModel),n=0;n<t.model.valueInds.length;n++){var i=t.model.valueInds[n];e.push({curveNumber:r,pointNumber:i})}return e}function x(t){for(var e={},r=t.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var i=r[n],a=i.categories[t.model.categoryInds[n]];e[i.containerInd]=a.categoryValue}return void 0!==t.model.rawColor&&(e.color=t.model.rawColor),e}function b(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){var e=y(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_click\",{points:e,event:n.event,constraints:r})}}function _(t){t.attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",.6).attr(\"stroke\",\"lightgray\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1)}function w(t){t.attr(\"fill-opacity\",.8).attr(\"stroke\",(function(t){return u.mostReadable(t.model.color,[\"black\",\"white\"])})).attr(\"stroke-width\",.3)}function T(t){t.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",1).attr(\"stroke-opacity\",1)}function k(t){t.attr(\"stroke\",\"black\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1).attr(\"fill-opacity\",1)}function A(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter((function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color}))}function M(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=n.select(t.parentNode).selectAll(\"rect.bandrect\"),l=[];s.each((function(t){A(t).each((function(t){Array.prototype.push.apply(l,y(t))}))}));var c={};c[a.dimensionInd]=a.categoryValue,o.emit(e,{points:l,event:r,constraints:c})}function S(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=A(i),l=[];s.each((function(t){Array.prototype.push.apply(l,y(t))}));var c={};c[a.dimensionInd]=a.categoryValue,void 0!==i.rawColor&&(c.color=i.rawColor),o.emit(e,{points:l,event:r,constraints:c})}function E(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=n.select(r.parentNode).select(\"rect.catrect\"),c=l.node().getBoundingClientRect(),u=l.datum(),f=u.parcatsViewModel,h=f.model.dimensions[u.model.dimensionInd],p=f.trace,d=c.top+c.height/2;f.dimensions.length>1&&h.displayInd===f.dimensions.length-1?(i=c.left,a=\"left\"):(i=c.left+c.width,a=\"right\");var m=u.model.count,g=u.model.categoryLabel,v=m/u.parcatsViewModel.model.count,y={countLabel:m,categoryLabel:g,probabilityLabel:v.toFixed(3)},x=[];-1!==u.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&x.push([\"Count:\",y.countLabel].join(\" \")),-1!==u.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&x.push([\"P(\"+y.categoryLabel+\"):\",y.probabilityLabel].join(\" \"));var b=x.join(\"<br>\");return{trace:p,x:o*(i-e.left),y:s*(d-e.top),text:b,color:\"lightgray\",borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:12,fontColor:\"black\",idealAlign:a,hovertemplate:p.hovertemplate,hovertemplateLabels:y,eventData:[{data:p._input,fullData:p,count:m,category:g,probability:v}]}}function L(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){if(n.mouse(this)[1]<-1)return;var e,r=t.parcatsViewModel.graphDiv,i=r._fullLayout,a=i._paperdiv.node().getBoundingClientRect(),l=t.parcatsViewModel.hoveron;if(\"color\"===l?(!function(t){var e=n.select(t).datum(),r=A(e);w(r),r.each((function(){s.raiseToTop(this)})),n.select(t.parentNode).selectAll(\"rect.bandrect\").filter((function(t){return t.color===e.color})).each((function(){s.raiseToTop(this),n.select(this).attr(\"stroke\",\"black\").attr(\"stroke-width\",1.5)}))}(this),S(this,\"plotly_hover\",n.event)):(!function(t){n.select(t.parentNode).selectAll(\"rect.bandrect\").each((function(t){var e=A(t);w(e),e.each((function(){s.raiseToTop(this)}))})),n.select(t.parentNode).select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",2.5)}(this),M(this,\"plotly_hover\",n.event)),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\"))\"category\"===l?e=E(r,a,this):\"color\"===l?e=function(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=r.getBoundingClientRect(),c=n.select(r).datum(),f=c.categoryViewModel,h=f.parcatsViewModel,p=h.model.dimensions[f.model.dimensionInd],d=h.trace,m=l.y+l.height/2;h.dimensions.length>1&&p.displayInd===h.dimensions.length-1?(i=l.left,a=\"left\"):(i=l.left+l.width,a=\"right\");var g=f.model.categoryLabel,v=c.parcatsViewModel.model.count,y=0;c.categoryViewModel.bands.forEach((function(t){t.color===c.color&&(y+=t.count)}));var x=f.model.count,b=0;h.pathSelection.each((function(t){t.model.color===c.color&&(b+=t.model.count)}));var _=y/v,w=y/b,T=y/x,k={countLabel:v,categoryLabel:g,probabilityLabel:_.toFixed(3)},A=[];-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&A.push([\"Count:\",k.countLabel].join(\" \")),-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&(A.push(\"P(color \\u2229 \"+g+\"): \"+k.probabilityLabel),A.push(\"P(\"+g+\" | color): \"+w.toFixed(3)),A.push(\"P(color | \"+g+\"): \"+T.toFixed(3)));var M=A.join(\"<br>\"),S=u.mostReadable(c.color,[\"black\",\"white\"]);return{trace:d,x:o*(i-e.left),y:s*(m-e.top),text:M,color:c.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontColor:S,fontSize:10,idealAlign:a,hovertemplate:d.hovertemplate,hovertemplateLabels:k,eventData:[{data:d._input,fullData:d,category:g,count:v,probability:_,categorycount:x,colorcount:b,bandcolorcount:y}]}}(r,a,this):\"dimension\"===l&&(e=function(t,e,r){var i=[];return n.select(r.parentNode.parentNode).selectAll(\"g.category\").select(\"rect.catrect\").each((function(){i.push(E(t,e,this))})),i}(r,a,this)),e&&o.loneHover(e,{container:i._hoverlayer.node(),outerContainer:i._paper.node(),gd:r})}}function C(t){var e=t.parcatsViewModel;if(!e.dragDimension&&(_(e.pathSelection),T(e.dimensionSelection.selectAll(\"g.category\")),k(e.dimensionSelection.selectAll(\"g.category\").selectAll(\"rect.bandrect\")),o.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(m),-1===e.hoverinfoItems.indexOf(\"skip\"))){\"color\"===t.parcatsViewModel.hoveron?S(this,\"plotly_unhover\",n.event):M(this,\"plotly_unhover\",n.event)}}function P(t){\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll(\"g.category\").select(\"rect.catrect\").each((function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,s.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll(\"rect.bandrect\").each((function(e){e.y<i&&i<=e.y+e.height&&(t.potentialClickBand=this)})))})),t.parcatsViewModel.dragDimension=t,o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function I(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,i=e+1,a=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=a.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var s=o.model.dragY,l=o.model.displayInd,c=a.categories,u=c[l-1],f=c[l+1];void 0!==u&&s<u.y+u.height/2&&(o.model.displayInd=u.model.displayInd,u.model.displayInd=l),void 0!==f&&s+o.height>f.y+f.height/2&&(o.model.displayInd=f.model.displayInd,f.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||\"freeform\"===t.parcatsViewModel.arrangement){a.model.dragX=n.event.x;var h=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[i];void 0!==h&&a.model.dragX<h.x+h.width&&(a.model.displayInd=h.model.displayInd,h.model.displayInd=e),void 0!==p&&a.model.dragX+a.width>p.x&&(a.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=a.model.displayInd}j(t.parcatsViewModel),N(t.parcatsViewModel),R(t.parcatsViewModel),D(t.parcatsViewModel)}}function O(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll(\"text\").attr(\"font-weight\",\"normal\");var e={},r=z(t.parcatsViewModel),i=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),o=t.initialDragDimensionDisplayInds.some((function(t,e){return t!==i[e]}));o&&i.forEach((function(r,n){var i=t.parcatsViewModel.model.dimensions[n].containerInd;e[\"dimensions[\"+i+\"].displayindex\"]=r}));var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map((function(t){return t.displayInd}));if(s=t.initialDragCategoryDisplayInds.some((function(t,e){return t!==l[e]}))){var c=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),u=c.map((function(t){return t.categoryValue})),f=c.map((function(t){return t.categoryLabel}));e[\"dimensions[\"+t.model.containerInd+\"].categoryarray\"]=[u],e[\"dimensions[\"+t.model.containerInd+\"].ticktext\"]=[f],e[\"dimensions[\"+t.model.containerInd+\"].categoryorder\"]=\"array\"}}if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")&&!t.dragHasMoved&&t.potentialClickBand&&(\"color\"===t.parcatsViewModel.hoveron?S(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent):M(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent)),t.model.dragX=null,null!==t.dragCategoryDisplayInd)t.parcatsViewModel.dimensions[t.dragDimensionDisplayInd].categories[t.dragCategoryDisplayInd].model.dragY=null,t.dragCategoryDisplayInd=null;t.dragDimensionDisplayInd=null,t.parcatsViewModel.dragDimension=null,t.dragHasMoved=null,t.potentialClickBand=null,j(t.parcatsViewModel),N(t.parcatsViewModel),n.transition().duration(300).ease(\"cubic-in-out\").each((function(){R(t.parcatsViewModel,!0),D(t.parcatsViewModel,!0)})).each(\"end\",(function(){(o||s)&&a.restyle(t.parcatsViewModel.graphDiv,e,[r])}))}}function z(t){for(var e,r=t.graphDiv._fullData,n=0;n<r.length;n++)if(t.key===r[n].uid){e=n;break}return e}function D(t,e){var r;void 0===e&&(e=!1),t.pathSelection.data((function(t){return t.paths}),p),(r=t.pathSelection,e?r.transition():r).attr(\"d\",(function(t){return t.svgD}))}function R(t,e){function r(t){return e?t.transition():t}void 0===e&&(e=!1),t.dimensionSelection.data((function(t){return t.dimensions}),p);var i=t.dimensionSelection.selectAll(\"g.category\").data((function(t){return t.categories}),p);r(t.dimensionSelection).attr(\"transform\",(function(t){return l(t.x,0)})),r(i).attr(\"transform\",(function(t){return l(0,t.y)})),i.select(\".dimlabel\").text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})),i.select(\".catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"x\",(function(t){return d(t)?t.width+5:-5})).each((function(t){var e,r;d(t)?(e=t.width+5,r=\"start\"):(e=-5,r=\"end\"),n.select(this).selectAll(\"tspan\").attr(\"x\",e).attr(\"text-anchor\",r)}));var a=i.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),p),o=a.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"cursor\",\"move\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);a.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})),k(o),a.each((function(){s.raiseToTop(this)})),a.exit().remove()}function F(t,e,r){var n,i=r[0],a=e.margin||{l:80,r:80,t:100,b:80},o=i.trace,s=o.domain,l=e.width,c=e.height,u=Math.floor(l*(s.x[1]-s.x[0])),f=Math.floor(c*(s.y[1]-s.y[0])),h=s.x[0]*l+a.l,p=e.height-s.y[1]*e.height+a.t,d=o.line.shape;n=\"all\"===o.hoverinfo?[\"count\",\"probability\"]:(o.hoverinfo||\"\").split(\"+\");var m={trace:o,key:o.uid,model:i,x:h,y:p,width:u,height:f,hoveron:o.hoveron,hoverinfoItems:n,arrangement:o.arrangement,bundlecolors:o.bundlecolors,sortpaths:o.sortpaths,labelfont:o.labelfont,categorylabelfont:o.tickfont,pathShape:d,dragDimension:null,margin:a,paths:[],dimensions:[],graphDiv:t,traceSelection:null,pathSelection:null,dimensionSelection:null};return i.dimensions&&(j(m),N(m)),m}function B(t,e,r,n,a){var o,s,l=[],c=[];for(s=0;s<r.length-1;s++)o=i(r[s]+t[s],t[s+1]),l.push(o(a)),c.push(o(1-a));var u=\"M \"+t[0]+\",\"+e[0];for(u+=\"l\"+r[0]+\",0 \",s=1;s<r.length;s++)u+=\"C\"+l[s-1]+\",\"+e[s-1]+\" \"+c[s-1]+\",\"+e[s]+\" \"+t[s]+\",\"+e[s],u+=\"l\"+r[s]+\",0 \";for(u+=\"l0,\"+n+\" \",u+=\"l -\"+r[r.length-1]+\",0 \",s=r.length-2;s>=0;s--)u+=\"C\"+c[s]+\",\"+(e[s+1]+n)+\" \"+l[s]+\",\"+(e[s]+n)+\" \"+(t[s]+r[s])+\",\"+(e[s]+n),u+=\"l-\"+r[s]+\",0 \";return u+=\"Z\"}function N(t){var e=t.dimensions,r=t.model,n=e.map((function(t){return t.categories.map((function(t){return t.y}))})),i=t.model.dimensions.map((function(t){return t.categories.map((function(t){return t.displayInd}))})),a=t.model.dimensions.map((function(t){return t.displayInd})),o=t.dimensions.map((function(t){return t.model.dimensionInd})),s=e.map((function(t){return t.x})),l=e.map((function(t){return t.width})),c=[];for(var u in r.paths)r.paths.hasOwnProperty(u)&&c.push(r.paths[u]);function f(t){var e=t.categoryInds.map((function(t,e){return i[e][t]}));return o.map((function(t){return e[t]}))}c.sort((function(e,r){var n=f(e),i=f(r);return\"backward\"===t.sortpaths&&(n.reverse(),i.reverse()),n.push(e.valueInds[0]),i.push(r.valueInds[0]),t.bundlecolors&&(n.unshift(e.rawColor),i.unshift(r.rawColor)),n<i?-1:n>i?1:0}));for(var h=new Array(c.length),p=e[0].model.count,d=e[0].categories.map((function(t){return t.height})).reduce((function(t,e){return t+e})),m=0;m<c.length;m++){var g,v=c[m];g=p>0?d*(v.count/p):0;for(var y,x=new Array(n.length),b=0;b<v.categoryInds.length;b++){var 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n=t(\"../../lib\").isTypedArray;r.convertTypedArray=function(t){return n(t)?Array.prototype.slice.call(t):t},r.isOrdinal=function(t){return!!t.tickvals},r.isVisible=function(t){return t.visible||!(\"visible\"in t)}},{\"../../lib\":503}],896:[function(t,e,r){\"use strict\";var n=t(\"./base_index\");n.plot=t(\"./plot\"),e.exports=n},{\"./base_index\":890,\"./plot\":900}],897:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nattribute vec4 p01_04, p05_08, p09_12, p13_16,\\n               p17_20, p21_24, p25_28, p29_32,\\n               p33_36, p37_40, p41_44, p45_48,\\n               p49_52, p53_56, p57_60, colors;\\n\\nuniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\\n             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\\n\\nuniform vec2 resolution, viewBoxPos, viewBoxSize;\\nuniform float maskHeight;\\nuniform float drwLayer; // 0: context, 1: focus, 2: pick\\nuniform vec4 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);\\n}\\n\\nbool mOutside(mat4 p, mat4 lo, mat4 hi) {\\n    return (\\n        vOutside(p[0], lo[0], hi[0]) ||\\n        vOutside(p[1], lo[1], hi[1]) ||\\n        vOutside(p[2], lo[2], hi[2]) ||\\n        vOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    return mOutside(A, loA, hiA) ||\\n           mOutside(B, loB, hiB) ||\\n           mOutside(C, loC, hiC) ||\\n           mOutside(D, loD, hiD);\\n}\\n\\nbool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    mat4 pnts[4];\\n    pnts[0] = A;\\n    pnts[1] = B;\\n    pnts[2] = C;\\n    pnts[3] = D;\\n\\n    for(int i = 0; i < 4; ++i) {\\n        for(int j = 0; j < 4; ++j) {\\n            for(int k = 0; k < 4; ++k) {\\n                if(0 == iMod(\\n                    int(255.0 * texture2D(maskTexture,\\n                        vec2(\\n                            (float(i * 2 + j / 2) + 0.5) / 8.0,\\n                            (pnts[i][j][k] * (maskHeight - 1.0) + 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I(t){r=t.model,n=t.viewModel,l=n.dimensions.slice(),g=l[0]?l[0].values.length:0;var e=r.lines,i=w?e.color.map((function(t,r){return r/e.color.length})):e.color,a=function(t,e,r){for(var n,i=new Array(t*(o+4)),a=0,s=0;s<t;s++){for(var l=0;l<o;l++)i[a++]=l<e.length?e[l].paddedUnitValues[s]:.5;i[a++]=d(s,2),i[a++]=d(s,1),i[a++]=d(s,0),i[a++]=(n=r[s],Math.max(1e-6,Math.min(.999999,n)))}return i}(g,l,i);!function(t,e,r){for(var n=0;n<=o;n+=4)t[v(n)](m(n/4,e,r))}(E,g,a),_||w||(L=T.texture(s.extendFlat({data:p(r.unitToColor,255)},u)))}return{render:function(t,e,n){var i,a,o,s=t.length,c=1/0,u=-1/0;for(i=0;i<s;i++)t[i].dim0.canvasX<c&&(c=t[i].dim0.canvasX,a=i),t[i].dim1.canvasX>u&&(u=t[i].dim1.canvasX,o=i);0===s&&f(T,0,0,r.canvasWidth,r.canvasHeight);var p=function(t){var e,r,n,i=[[],[]];for(n=0;n<64;n++){var a=!t&&n<l.length?l[n].brush.filter.getBounds():[-1/0,1/0];i[0][n]=a[0],i[1][n]=a[1]}var o=new Array(16384);for(e=0;e<16384;e++)o[e]=255;if(!t)for(e=0;e<l.length;e++){var 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i=new Uint8Array(4*r*n);return T.read({x:t,y:e,width:r,height:n,data:i}),i},destroy:function(){for(var e in t.style[\"pointer-events\"]=\"none\",L.destroy(),b&&b.destroy(),E)E[e].destroy()},update:I}}},{\"../../lib\":503,\"./constants\":893,glslify:227}],898:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n){var i,a;for(n||(n=1/0),i=0;i<e.length;i++)(a=e[i]).visible&&(n=Math.min(n,a[r].length));for(n===1/0&&(n=0),t._length=n,i=0;i<e.length;i++)(a=e[i]).visible&&(a._length=n);return n}},{}],899:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../lib\"),a=i.numberFormat,o=t(\"color-rgba\"),s=t(\"../../plots/cartesian/axes\"),l=i.strRotate,c=i.strTranslate,u=t(\"../../lib/svg_text_utils\"),f=t(\"../../components/drawing\"),h=t(\"../../components/colorscale\"),p=t(\"../../lib/gup\"),d=p.keyFun,m=p.repeat,g=p.unwrap,v=t(\"./helpers\"),y=t(\"./constants\"),x=t(\"./axisbrush\"),b=t(\"./lines\");function _(t,e,r){return i.aggNums(t,null,e,r)}function w(t,e){return k(_(Math.min,t,e),_(Math.max,t,e))}function T(t){var e=t.range;return e?k(e[0],e[1]):w(t.values,t._length)}function k(t,e){return!isNaN(t)&&isFinite(t)||(t=0),!isNaN(e)&&isFinite(e)||(e=0),t===e&&(0===t?(t-=1,e+=1):(t*=.9,e*=1.1)),[t,e]}function A(t,e,r,i,o){var s,l,c=T(r);return i?n.scale.ordinal().domain(i.map((s=a(r.tickformat),l=o,l?function(t,e){var r=l[e];return null==r?s(t):r}:s))).range(i.map((function(r){var n=(r-c[0])/(c[1]-c[0]);return t-e+n*(2*e-t)}))):n.scale.linear().domain(c).range([t-e,e])}function M(t){if(t.tickvals){var e=T(t);return n.scale.ordinal().domain(t.tickvals).range(t.tickvals.map((function(t){return(t-e[0])/(e[1]-e[0])})))}}function S(t){var e=t.map((function(t){return t[0]})),r=t.map((function(t){var e=o(t[1]);return n.rgb(\"rgb(\"+e[0]+\",\"+e[1]+\",\"+e[2]+\")\")})),i=\"rgb\".split(\"\").map((function(t){return n.scale.linear().clamp(!0).domain(e).range(r.map((i=t,function(t){return t[i]})));var i}));return function(t){return i.map((function(e){return 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n=t(\"../../plots/attributes\"),i=t(\"../../plots/domain\").attributes,a=t(\"../../plots/font_attributes\"),o=t(\"../../components/color/attributes\"),s=t(\"../../plots/template_attributes\").hovertemplateAttrs,l=t(\"../../plots/template_attributes\").texttemplateAttrs,c=t(\"../../lib/extend\").extendFlat,u=a({editType:\"plot\",arrayOk:!0,colorEditType:\"plot\"});e.exports={labels:{valType:\"data_array\",editType:\"calc\"},label0:{valType:\"number\",dflt:0,editType:\"calc\"},dlabel:{valType:\"number\",dflt:1,editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},marker:{colors:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:o.defaultLine,arrayOk:!0,editType:\"style\"},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},editType:\"calc\"},text:{valType:\"data_array\",editType:\"plot\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"style\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"percent\"],extras:[\"none\"],editType:\"calc\"},hoverinfo:c({},n.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:s({},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),texttemplate:l({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0,editType:\"plot\"},textfont:c({},u,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:c({},u,{}),outsidetextfont:c({},u,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:c({},u,{}),position:{valType:\"enumerated\",values:[\"top 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r,i,a=[],o=t._fullLayout,l=o.hiddenlabels||[],c=e.labels,u=e.marker.colors||[],f=e.values,h=e._length,p=e._hasValues&&h;if(e.dlabel)for(c=new Array(h),r=0;r<h;r++)c[r]=String(e.label0+r*e.dlabel);var d={},m=s(o[\"_\"+e.type+\"colormap\"]),g=0,v=!1;for(r=0;r<h;r++){var y,x,b;if(p){if(y=f[r],!n(y))continue;y=+y}else y=1;void 0!==(x=c[r])&&\"\"!==x||(x=r);var _=d[x=String(x)];void 0===_?(d[x]=a.length,(b=-1!==l.indexOf(x))||(g+=y),a.push({v:y,label:x,color:m(u[r],x),i:r,pts:[r],hidden:b})):(v=!0,(i=a[_]).v+=y,i.pts.push(r),i.hidden||(g+=y),!1===i.color&&u[r]&&(i.color=m(u[r],x)))}return a=a.filter((function(t){return t.v>=0})),(\"funnelarea\"===e.type?v:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=g),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\"pie\");var n=t._fullLayout,i=t.calcdata,a=n[r+\"colorway\"],s=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(a=l(a,o));for(var c=0,u=0;u<i.length;u++){var f=i[u];if(f[0].trace.type===r)for(var h=0;h<f.length;h++){var p=f[h];!1===p.color&&(s[p.label]?p.color=s[p.label]:(s[p.label]=p.color=a[c%a.length],c++))}}},makePullColorFn:s,generateExtendedColors:l}},{\"../../components/color\":366,\"fast-isnumeric\":190,tinycolor2:312}],904:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib\"),a=t(\"./attributes\"),o=t(\"../../plots/domain\").defaults,s=t(\"../bar/defaults\").handleText;function l(t,e){var r=Array.isArray(t),a=i.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,a?e.length:1/0);if(isFinite(o)||(o=0),o&&a){for(var s,l=0;l<o;l++){var c=e[l];if(n(c)&&c>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}e.exports={handleLabelsAndValues:l,supplyDefaults:function(t,e,r,n){function c(r,n){return i.coerce(t,e,a,r,n)}var u=l(c(\"labels\"),c(\"values\")),f=u.len;if(e._hasLabels=u.hasLabels,e._hasValues=u.hasValues,!e._hasLabels&&e._hasValues&&(c(\"label0\"),c(\"dlabel\")),f){e._length=f,c(\"marker.line.width\")&&c(\"marker.line.color\"),c(\"marker.colors\"),c(\"scalegroup\");var h,p=c(\"text\"),d=c(\"texttemplate\");if(d||(h=c(\"textinfo\",Array.isArray(p)?\"text+percent\":\"percent\")),c(\"hovertext\"),c(\"hovertemplate\"),d||h&&\"none\"!==h){var m=c(\"textposition\");s(t,e,n,c,m,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(m)||\"auto\"===m||\"outside\"===m)&&c(\"automargin\"),(\"inside\"===m||\"auto\"===m||Array.isArray(m))&&c(\"insidetextorientation\")}o(e,n,c);var g=c(\"hole\");if(c(\"title.text\")){var v=c(\"title.position\",g?\"middle center\":\"top center\");g||\"middle center\"!==v||(e.title.position=\"top center\"),i.coerceFont(c,\"title.font\",n.font)}c(\"sort\"),c(\"direction\"),c(\"rotation\"),c(\"pull\")}else e.visible=!1}}},{\"../../lib\":503,\"../../plots/domain\":584,\"../bar/defaults\":652,\"./attributes\":901,\"fast-isnumeric\":190}],905:[function(t,e,r){\"use strict\";var n=t(\"../../components/fx/helpers\").appendArrayMultiPointValues;e.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,bbox:t.bbox,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),\"funnelarea\"===e.type&&(delete r.v,delete r.i),r}},{\"../../components/fx/helpers\":402}],906:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");function i(t){return-1!==t.indexOf(\"e\")?t.replace(/[.]?0+e/,\"e\"):-1!==t.indexOf(\".\")?t.replace(/[.]?0+$/,\"\"):t}r.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+\"%\"},r.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},r.getFirstFilled=function(t,e){if(Array.isArray(t))for(var r=0;r<e.length;r++){var n=t[e[r]];if(n||0===n||\"\"===n)return n}},r.castOption=function(t,e){return Array.isArray(t)?r.getFirstFilled(t,e):t||void 0},r.getRotationAngle=function(t){return(\"auto\"===t?0:t)*Math.PI/180}},{\"../../lib\":503}],907:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\").supplyDefaults,supplyLayoutDefaults:t(\"./layout_defaults\"),layoutAttributes:t(\"./layout_attributes\"),calc:t(\"./calc\").calc,crossTraceCalc:t(\"./calc\").crossTraceCalc,plot:t(\"./plot\").plot,style:t(\"./style\"),styleOne:t(\"./style_one\"),moduleType:\"trace\",name:\"pie\",basePlotModule:t(\"./base_plot\"),categories:[\"pie-like\",\"pie\",\"showLegend\"],meta:{}}},{\"./attributes\":901,\"./base_plot\":902,\"./calc\":903,\"./defaults\":904,\"./layout_attributes\":908,\"./layout_defaults\":909,\"./plot\":910,\"./style\":911,\"./style_one\":912}],908:[function(t,e,r){\"use strict\";e.exports={hiddenlabels:{valType:\"data_array\",editType:\"calc\"},piecolorway:{valType:\"colorlist\",editType:\"calc\"},extendpiecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},{}],909:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./layout_attributes\");e.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"hiddenlabels\"),r(\"piecolorway\",e.colorway),r(\"extendpiecolors\")}},{\"../../lib\":503,\"./layout_attributes\":908}],910:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../plots/plots\"),a=t(\"../../components/fx\"),o=t(\"../../components/color\"),s=t(\"../../components/drawing\"),l=t(\"../../lib\"),c=l.strScale,u=l.strTranslate,f=t(\"../../lib/svg_text_utils\"),h=t(\"../bar/uniform_text\"),p=h.recordMinTextSize,d=h.clearMinTextSize,m=t(\"../bar/constants\").TEXTPAD,g=t(\"./helpers\"),v=t(\"./event_data\"),y=t(\"../../lib\").isValidTextValue;function x(t,e,r){var i=r[0],o=i.cx,s=i.cy,c=i.trace,u=\"funnelarea\"===c.type;\"_hasHoverLabel\"in c||(c._hasHoverLabel=!1),\"_hasHoverEvent\"in c||(c._hasHoverEvent=!1),t.on(\"mouseover\",(function(t){var r=e._fullLayout,f=e._fullData[c.index];if(!e._dragging&&!1!==r.hovermode){var h=f.hoverinfo;if(Array.isArray(h)&&(h=a.castHoverinfo({hoverinfo:[g.castOption(h,t.pts)],_module:c._module},r,0)),\"all\"===h&&(h=\"label+text+value+percent+name\"),f.hovertemplate||\"none\"!==h&&\"skip\"!==h&&h){var p=t.rInscribed||0,d=o+t.pxmid[0]*(1-p),m=s+t.pxmid[1]*(1-p),y=r.separators,x=[];if(h&&-1!==h.indexOf(\"label\")&&x.push(t.label),t.text=g.castOption(f.hovertext||f.text,t.pts),h&&-1!==h.indexOf(\"text\")){var b=t.text;l.isValidTextValue(b)&&x.push(b)}t.value=t.v,t.valueLabel=g.formatPieValue(t.v,y),h&&-1!==h.indexOf(\"value\")&&x.push(t.valueLabel),t.percent=t.v/i.vTotal,t.percentLabel=g.formatPiePercent(t.percent,y),h&&-1!==h.indexOf(\"percent\")&&x.push(t.percentLabel);var _=f.hoverlabel,w=_.font,T=[];a.loneHover({trace:c,x0:d-p*i.r,x1:d+p*i.r,y:m,_x0:u?o+t.TL[0]:d-p*i.r,_x1:u?o+t.TR[0]:d+p*i.r,_y0:u?s+t.TL[1]:m-p*i.r,_y1:u?s+t.BL[1]:m+p*i.r,text:x.join(\"<br>\"),name:f.hovertemplate||-1!==h.indexOf(\"name\")?f.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:g.castOption(_.bgcolor,t.pts)||t.color,borderColor:g.castOption(_.bordercolor,t.pts),fontFamily:g.castOption(w.family,t.pts),fontSize:g.castOption(w.size,t.pts),fontColor:g.castOption(w.color,t.pts),nameLength:g.castOption(_.namelength,t.pts),textAlign:g.castOption(_.align,t.pts),hovertemplate:g.castOption(f.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[v(t,f)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],c._hasHoverLabel=!0}c._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[v(t,f)],event:n.event})}})),t.on(\"mouseout\",(function(t){var r=e._fullLayout,i=e._fullData[c.index],o=n.select(this).datum();c._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[v(o,i)],event:n.event}),c._hasHoverEvent=!1),c._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),c._hasHoverLabel=!1)})),t.on(\"click\",(function(t){var r=e._fullLayout,i=e._fullData[c.index];e._dragging||!1===r.hovermode||(e._hoverdata=[v(t,i)],a.click(e,n.event))}))}function b(t,e,r){var n=g.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=g.castOption(t._input.textfont.color,e.pts));var i=g.castOption(t.insidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.insidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:i,size:a}}function _(t,e){for(var r,n,i=0;i<t.length;i++)if((n=(r=t[i][0]).trace).title.text){var a=n.title.text;n._meta&&(a=l.templateString(a,n._meta));var o=s.tester.append(\"text\").attr(\"data-notex\",1).text(a).call(s.font,n.title.font).call(f.convertToTspans,e),c=s.bBox(o.node(),!0);r.titleBox={width:c.width,height:c.height},o.remove()}}function w(t,e,r){var n=r.r||e.rpx1,i=e.rInscribed;if(e.startangle===e.stopangle)return{rCenter:1-i,scale:0,rotate:0,textPosAngle:0};var a,o=e.ring,s=1===o&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,l=e.halfangle,c=e.midangle,u=r.trace.insidetextorientation,f=\"horizontal\"===u,h=\"tangential\"===u,p=\"radial\"===u,d=\"auto\"===u,m=[];if(!d){var g,v=function(r,i){if(function(t,e){var r=t.startangle,n=t.stopangle;return r>e&&e>n||r<e&&e<n}(e,r)){var s=Math.abs(r-e.startangle),l=Math.abs(r-e.stopangle),c=s<l?s:l;(a=\"tan\"===i?k(t,n,o,c,0):T(t,n,o,c,Math.PI/2)).textPosAngle=r,m.push(a)}};if(f||h){for(g=4;g>=-4;g-=2)v(Math.PI*g,\"tan\");for(g=4;g>=-4;g-=2)v(Math.PI*(g+1),\"tan\")}if(f||p){for(g=4;g>=-4;g-=2)v(Math.PI*(g+1.5),\"rad\");for(g=4;g>=-4;g-=2)v(Math.PI*(g+.5),\"rad\")}}if(s||d||f){var y=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/y,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;m.push(a)}(d||p)&&((a=T(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,m.push(a)),(d||h)&&((a=k(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,m.push(a));for(var x=0,b=0,_=0;_<m.length;_++){var w=m[_].scale;if(b<w&&(b=w,x=_),!d&&b>=1)break}return m[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*m);var a=t.width/t.height,o=S(a,n,e,r);return{scale:2*o/t.height,rCenter:A(a,o/e),rotate:M(i)}}function k(t,e,r,n,i){e=Math.max(0,e-2*m);var a=t.height/t.width,o=S(a,n,e,r);return{scale:2*o/t.width,rCenter:A(a,o/e),rotate:M(i+Math.PI/2)}}function A(t,e){return Math.cos(e)-t*e}function M(t){return(180/Math.PI*t+720)%180-90}function S(t,e,r,n){var i=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(i*i+.5)+i),n/(Math.sqrt(t*t+n/2)+t))}function E(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function L(t,e){var r=e.pxmid[0],n=e.pxmid[1],i=t.width/2,a=t.height/2;return r<0&&(i*=-1),n<0&&(a*=-1),{scale:1,rCenter:1,rotate:0,x:i+Math.abs(a)*(i>0?1:-1)/2,y:a/(1+r*r/(n*n)),outside:!0}}function C(t,e){var r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=I(a),-1!==a.title.position.indexOf(\"top\")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf(\"bottom\")&&(o.y+=(1+i)*t.r);var l,c,u=(l=t.r,c=t.trace.aspectratio,l/(void 0===c?1:c)),f=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf(\"left\")?(f+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf(\"center\")?f*=2:-1!==a.title.position.indexOf(\"right\")&&(f+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=f/t.titleBox.width,n=P(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function P(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function I(t){var e,r=t.pull;if(!r)return 0;if(Array.isArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function O(t,e){for(var r=[],n=0;n<t.length;n++){var i=t[n][0],a=i.trace,o=a.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);a.title.text&&\"middle center\"!==a.title.position&&(l-=P(i,e));var c=s/2,u=l/2;\"funnelarea\"!==a.type||a.scalegroup||(u/=a.aspectratio),i.r=Math.min(c,u)/(1+I(a)),i.cx=e.l+e.w*(a.domain.x[1]+a.domain.x[0])/2,i.cy=e.t+e.h*(1-a.domain.y[0])-l/2,a.title.text&&-1!==a.title.position.indexOf(\"bottom\")&&(i.cy-=P(i,e)),a.scalegroup&&-1===r.indexOf(a.scalegroup)&&r.push(a.scalegroup)}!function(t,e){for(var r,n,i,a=0;a<e.length;a++){var o=1/0,s=e[a];for(n=0;n<t.length;n++)if(r=t[n][0],(i=r.trace).scalegroup===s){var l;if(\"pie\"===i.type)l=r.r*r.r;else if(\"funnelarea\"===i.type){var c,u;i.aspectratio>1?(c=r.r,u=c/i.aspectratio):(u=r.r,c=u*i.aspectratio),c*=(1+i.baseratio)/2,l=c*u}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if(r=t[n][0],(i=r.trace).scalegroup===s){var f=o*r.vTotal;\"funnelarea\"===i.type&&(f/=(1+i.baseratio)/2,f/=i.aspectratio),r.r=Math.sqrt(f)}}}(t,r)}function z(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function D(t,e,r){var n=t._fullLayout,i=r.trace,a=i.texttemplate,o=i.textinfo;if(!a&&o&&\"none\"!==o){var s,c=o.split(\"+\"),u=function(t){return-1!==c.indexOf(t)},f=u(\"label\"),h=u(\"text\"),p=u(\"value\"),d=u(\"percent\"),m=n.separators;if(s=f?[e.label]:[],h){var v=g.getFirstFilled(i.text,e.pts);y(v)&&s.push(v)}p&&s.push(g.formatPieValue(e.v,m)),d&&s.push(g.formatPiePercent(e.v/r.vTotal,m)),e.text=s.join(\"<br>\")}if(a){var x=l.castOption(i,e.i,\"texttemplate\");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:g.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:g.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,\"customdata\")}}(e),_=g.getFirstFilled(i.text,e.pts);(y(_)||\"\"===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,i._meta||{})}else e.text=\"\"}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}e.exports={plot:function(t,e){var r=t._fullLayout,a=r._size;d(\"pie\",r),_(e,t),O(e,a);var h=l.makeTraceGroups(r._pielayer,e,\"trace\").each((function(e){var h=n.select(this),d=e[0],m=d.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=g.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,c=\"px0\",u=\"px1\";if(\"counterclockwise\"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,c=\"px1\",u=\"px0\"}for(n=z(a,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[c]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=z(a,s),r.midangle=s,s+=l*r.v/2,n=z(a,s),r.stopangle=s,r[u]=n,r.largeArc=r.v>i.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),h.attr(\"stroke-linejoin\",\"round\"),h.each((function(){var v=n.select(this).selectAll(\"g.slice\").data(e);v.enter().append(\"g\").classed(\"slice\",!0),v.exit().remove();var y=[[[],[]],[[],[]]],_=!1;v.each((function(i,a){if(i.hidden)n.select(this).selectAll(\"path,g\").remove();else{i.pointNumber=i.i,i.curveNumber=m.index,y[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var o=d.cx,c=d.cy,u=n.select(this),h=u.selectAll(\"path.surface\").data([i]);if(h.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":\"all\"}),u.call(x,t,e),m.pull){var v=+g.castOption(m.pull,i.pts)||0;v>0&&(o+=v*i.pxmid[0],c+=v*i.pxmid[1])}i.cxFinal=o,i.cyFinal=c;var T=m.hole;if(i.v===d.vTotal){var k=\"M\"+(o+i.px0[0])+\",\"+(c+i.px0[1])+C(i.px0,i.pxmid,!0,1)+C(i.pxmid,i.px0,!0,1)+\"Z\";T?h.attr(\"d\",\"M\"+(o+T*i.px0[0])+\",\"+(c+T*i.px0[1])+C(i.px0,i.pxmid,!1,T)+C(i.pxmid,i.px0,!1,T)+\"Z\"+k):h.attr(\"d\",k)}else{var A=C(i.px0,i.px1,!0,1);if(T){var M=1-T;h.attr(\"d\",\"M\"+(o+T*i.px1[0])+\",\"+(c+T*i.px1[1])+C(i.px1,i.px0,!1,T)+\"l\"+M*i.px0[0]+\",\"+M*i.px0[1]+A+\"Z\")}else h.attr(\"d\",\"M\"+o+\",\"+c+\"l\"+i.px0[0]+\",\"+i.px0[1]+A+\"Z\")}D(t,i,d);var S=g.castOption(m.textposition,i.pts),E=u.selectAll(\"g.slicetext\").data(i.text&&\"none\"!==S?[0]:[]);E.enter().append(\"g\").classed(\"slicetext\",!0),E.exit().remove(),E.each((function(){var u=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),h=l.ensureUniformFontSize(t,\"outside\"===S?function(t,e,r){var n=g.castOption(t.outsidetextfont.color,e.pts)||g.castOption(t.textfont.color,e.pts)||r.color,i=g.castOption(t.outsidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.outsidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size;return{color:n,family:i,size:a}}(m,i,r.font):b(m,i,r.font));u.text(i.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,h).call(f.convertToTspans,t);var v,y=s.bBox(u.node());if(\"outside\"===S)v=L(y,i);else if(v=w(y,i,d),\"auto\"===S&&v.scale<1){var x=l.ensureUniformFontSize(t,m.outsidetextfont);u.call(s.font,x),v=L(y=s.bBox(u.node()),i)}var T=v.textPosAngle,k=void 0===T?i.pxmid:z(d.r,T);if(v.targetX=o+k[0]*v.rCenter+(v.x||0),v.targetY=c+k[1]*v.rCenter+(v.y||0),R(v,y),v.outside){var A=v.targetY;i.yLabelMin=A-y.height/2,i.yLabelMid=A,i.yLabelMax=A+y.height/2,i.labelExtraX=0,i.labelExtraY=0,_=!0}v.fontSize=h.size,p(m.type,v,r),e[a].transform=v,u.attr(\"transform\",l.getTextTransform(v))}))}function C(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*d.r+\",\"+n*d.r+\" 0 \"+i.largeArc+(r?\" 1 \":\" 0 \")+a+\",\"+o}}));var T=n.select(this).selectAll(\"g.titletext\").data(m.title.text?[0]:[]);if(T.enter().append(\"g\").classed(\"titletext\",!0),T.exit().remove(),T.each((function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),i=m.title.text;m._meta&&(i=l.templateString(i,m._meta)),r.text(i).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,m.title.font).call(f.convertToTspans,t),e=\"middle center\"===m.title.position?function(t){var e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(d):C(d,a),r.attr(\"transform\",u(e.x,e.y)+c(Math.min(1,e.scale))+u(e.tx,e.ty))})),_&&function(t,e){var r,n,i,a,o,s,l,c,u,f,h,p,d;function m(t,e){return t.pxmid[1]-e.pxmid[1]}function v(t,e){return e.pxmid[1]-t.pxmid[1]}function y(t,r){r||(r={});var 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n=t(\"@plotly/d3\"),i=t(\"../../lib\"),a=i.numberFormat,o=t(\"./render\"),s=t(\"../../components/fx\"),l=t(\"../../components/color\"),c=t(\"./constants\").cn,u=i._;function f(t){return\"\"!==t}function h(t,e){return t.filter((function(t){return t.key===e.traceId}))}function p(t,e){n.select(t).select(\"path\").style(\"fill-opacity\",e),n.select(t).select(\"rect\").style(\"fill-opacity\",e)}function d(t){n.select(t).select(\"text.name\").style(\"fill\",\"black\")}function m(t){return function(e){return-1!==t.node.sourceLinks.indexOf(e.link)||-1!==t.node.targetLinks.indexOf(e.link)}}function g(t){return function(e){return-1!==e.node.sourceLinks.indexOf(t.link)||-1!==e.node.targetLinks.indexOf(t.link)}}function v(t,e,r){e&&r&&h(r,e).selectAll(\".\"+c.sankeyLink).filter(m(e)).call(x.bind(0,e,r,!1))}function y(t,e,r){e&&r&&h(r,e).selectAll(\".\"+c.sankeyLink).filter(m(e)).call(b.bind(0,e,r,!1))}function x(t,e,r,n){var i=n.datum().link.label;n.style(\"fill-opacity\",(function(t){if(!t.link.concentrationscale)return.4})),i&&h(e,t).selectAll(\".\"+c.sankeyLink).filter((function(t){return t.link.label===i})).style(\"fill-opacity\",(function(t){if(!t.link.concentrationscale)return.4})),r&&h(e,t).selectAll(\".\"+c.sankeyNode).filter(g(t)).call(v)}function b(t,e,r,n){var i=n.datum().link.label;n.style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})),i&&h(e,t).selectAll(\".\"+c.sankeyLink).filter((function(t){return t.link.label===i})).style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})),r&&h(e,t).selectAll(c.sankeyNode).filter(g(t)).call(y)}function _(t,e){var r=t.hoverlabel||{},n=i.nestedProperty(r,e).get();return!Array.isArray(n)&&n}e.exports=function(t,e){for(var r=t._fullLayout,i=r._paper,h=r._size,m=0;m<t._fullData.length;m++)if(t._fullData[m].visible&&t._fullData[m].type===c.sankey&&!t._fullData[m]._viewInitial){var g=t._fullData[m].node;t._fullData[m]._viewInitial={node:{groups:g.groups.slice(),x:g.x.slice(),y:g.y.slice()}}}var w=u(t,\"source:\")+\" \",T=u(t,\"target:\")+\" \",k=u(t,\"concentration:\")+\" \",A=u(t,\"incoming flow count:\")+\" \",M=u(t,\"outgoing flow count:\")+\" \";o(t,i,e,{width:h.w,height:h.h,margin:{t:h.t,r:h.r,b:h.b,l:h.l}},{linkEvents:{hover:function(e,r,i){!1!==t._fullLayout.hovermode&&(n.select(e).call(x.bind(0,r,i,!0)),\"skip\"!==r.link.trace.link.hoverinfo&&(r.link.fullData=r.link.trace,t.emit(\"plotly_hover\",{event:n.event,points:[r.link]})))},follow:function(e,i){if(!1!==t._fullLayout.hovermode){var o=i.link.trace.link;if(\"none\"!==o.hoverinfo&&\"skip\"!==o.hoverinfo){for(var c=[],u=0,h=0;h<i.flow.links.length;h++){var m=i.flow.links[h];if(\"closest\"!==t._fullLayout.hovermode||i.link.pointNumber===m.pointNumber){i.link.pointNumber===m.pointNumber&&(u=h),m.fullData=m.trace,o=i.link.trace.link;var g=y(m),v={valueLabel:a(i.valueFormat)(m.value)+i.valueSuffix};c.push({x:g[0],y:g[1],name:v.valueLabel,text:[m.label||\"\",w+m.source.label,T+m.target.label,m.concentrationscale?k+a(\"%0.2f\")(m.flow.labelConcentration):\"\"].filter(f).join(\"<br>\"),color:_(o,\"bgcolor\")||l.addOpacity(m.color,1),borderColor:_(o,\"bordercolor\"),fontFamily:_(o,\"font.family\"),fontSize:_(o,\"font.size\"),fontColor:_(o,\"font.color\"),nameLength:_(o,\"namelength\"),textAlign:_(o,\"align\"),idealAlign:n.event.x<g[0]?\"right\":\"left\",hovertemplate:o.hovertemplate,hovertemplateLabels:v,eventData:[m]})}}s.loneHover(c,{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t,anchorIndex:u}).each((function(){i.link.concentrationscale||p(this,.65),d(this)}))}}function y(t){var e,r;t.circular?(e=(t.circularPathData.leftInnerExtent+t.circularPathData.rightInnerExtent)/2,r=t.circularPathData.verticalFullExtent):(e=(t.source.x1+t.target.x0)/2,r=(t.y0+t.y1)/2);var n=[e,r];return\"v\"===t.trace.orientation&&n.reverse(),n[0]+=i.parent.translateX,n[1]+=i.parent.translateY,n}},unhover:function(e,i,a){!1!==t._fullLayout.hovermode&&(n.select(e).call(b.bind(0,i,a,!0)),\"skip\"!==i.link.trace.link.hoverinfo&&(i.link.fullData=i.link.trace,t.emit(\"plotly_unhover\",{event:n.event,points:[i.link]})),s.loneUnhover(r._hoverlayer.node()))},select:function(e,r){var i=r.link;i.originalEvent=n.event,t._hoverdata=[i],s.click(t,{target:!0})}},nodeEvents:{hover:function(e,r,i){!1!==t._fullLayout.hovermode&&(n.select(e).call(v,r,i),\"skip\"!==r.node.trace.node.hoverinfo&&(r.node.fullData=r.node.trace,t.emit(\"plotly_hover\",{event:n.event,points:[r.node]})))},follow:function(e,i){if(!1!==t._fullLayout.hovermode){var o=i.node.trace.node;if(\"none\"!==o.hoverinfo&&\"skip\"!==o.hoverinfo){var l=n.select(e).select(\".\"+c.nodeRect),u=t._fullLayout._paperdiv.node().getBoundingClientRect(),h=l.node().getBoundingClientRect(),m=h.left-2-u.left,g=h.right+2-u.left,v=h.top+h.height/4-u.top,y={valueLabel:a(i.valueFormat)(i.node.value)+i.valueSuffix};i.node.fullData=i.node.trace,t._fullLayout._calcInverseTransform(t);var x=t._fullLayout._invScaleX,b=t._fullLayout._invScaleY,w=s.loneHover({x0:x*m,x1:x*g,y:b*v,name:a(i.valueFormat)(i.node.value)+i.valueSuffix,text:[i.node.label,A+i.node.targetLinks.length,M+i.node.sourceLinks.length].filter(f).join(\"<br>\"),color:_(o,\"bgcolor\")||i.tinyColorHue,borderColor:_(o,\"bordercolor\"),fontFamily:_(o,\"font.family\"),fontSize:_(o,\"font.size\"),fontColor:_(o,\"font.color\"),nameLength:_(o,\"namelength\"),textAlign:_(o,\"align\"),idealAlign:\"left\",hovertemplate:o.hovertemplate,hovertemplateLabels:y,eventData:[i.node]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t});p(w,.85),d(w)}}},unhover:function(e,i,a){!1!==t._fullLayout.hovermode&&(n.select(e).call(y,i,a),\"skip\"!==i.node.trace.node.hoverinfo&&(i.node.fullData=i.node.trace,t.emit(\"plotly_unhover\",{event:n.event,points:[i.node]})),s.loneUnhover(r._hoverlayer.node()))},select:function(e,r,i){var a=r.node;a.originalEvent=n.event,t._hoverdata=[a],n.select(e).call(y,r,i),s.click(t,{target:!0})}}})}},{\"../../components/color\":366,\"../../components/fx\":406,\"../../lib\":503,\"./constants\":920,\"./render\":924,\"@plotly/d3\":58}],924:[function(t,e,r){\"use strict\";var n=t(\"d3-force\"),i=t(\"d3-interpolate\").interpolateNumber,a=t(\"@plotly/d3\"),o=t(\"@plotly/d3-sankey\"),s=t(\"@plotly/d3-sankey-circular\"),l=t(\"./constants\"),c=t(\"tinycolor2\"),u=t(\"../../components/color\"),f=t(\"../../components/drawing\"),h=t(\"../../lib\"),p=h.strTranslate,d=h.strRotate,m=t(\"../../lib/gup\"),g=m.keyFun,v=m.repeat,y=m.unwrap,x=t(\"../../lib/svg_text_utils\"),b=t(\"../../registry\"),_=t(\"../../constants/alignment\"),w=_.CAP_SHIFT,T=_.LINE_SPACING;function k(t,e,r){var n,i=y(e),a=i.trace,u=a.domain,f=\"h\"===a.orientation,p=a.node.pad,d=a.node.thickness,m=t.width*(u.x[1]-u.x[0]),g=t.height*(u.y[1]-u.y[0]),v=i._nodes,x=i._links,b=i.circular;(n=b?s.sankeyCircular().circularLinkGap(0):o.sankey()).iterations(l.sankeyIterations).size(f?[m,g]:[g,m]).nodeWidth(d).nodePadding(p).nodeId((function(t){return t.pointNumber})).nodes(v).links(x);var _,w,T,k=n();for(var A in n.nodePadding()<p&&h.warn(\"node.pad was reduced to \",n.nodePadding(),\" to fit within the figure.\"),i._groupLookup){var M,S=parseInt(i._groupLookup[A]);for(_=0;_<k.nodes.length;_++)if(k.nodes[_].pointNumber===S){M=k.nodes[_];break}if(M){var E={pointNumber:parseInt(A),x0:M.x0,x1:M.x1,y0:M.y0,y1:M.y1,partOfGroup:!0,sourceLinks:[],targetLinks:[]};k.nodes.unshift(E),M.childrenNodes.unshift(E)}}if(function(){for(_=0;_<k.nodes.length;_++){var t,e,r=k.nodes[_],n={};for(w=0;w<r.targetLinks.length;w++)t=(e=r.targetLinks[w]).source.pointNumber+\":\"+e.target.pointNumber,n.hasOwnProperty(t)||(n[t]=[]),n[t].push(e);var i=Object.keys(n);for(w=0;w<i.length;w++){var a=n[t=i[w]],o=0,s={};for(T=0;T<a.length;T++)s[(e=a[T]).label]||(s[e.label]=0),s[e.label]+=e.value,o+=e.value;for(T=0;T<a.length;T++)(e=a[T]).flow={value:o,labelConcentration:s[e.label]/o,concentration:e.value/o,links:a},e.concentrationscale&&(e.color=c(e.concentrationscale(e.flow.labelConcentration)))}var l=0;for(w=0;w<r.sourceLinks.length;w++)l+=r.sourceLinks[w].value;for(w=0;w<r.sourceLinks.length;w++)(e=r.sourceLinks[w]).concentrationOut=e.value/l;var u=0;for(w=0;w<r.targetLinks.length;w++)u+=r.targetLinks[w].value;for(w=0;w<r.targetLinks.length;w++)(e=r.targetLinks[w]).concenrationIn=e.value/u}}(),a.node.x.length&&a.node.y.length){for(_=0;_<Math.min(a.node.x.length,a.node.y.length,k.nodes.length);_++)if(a.node.x[_]&&a.node.y[_]){var L=[a.node.x[_]*m,a.node.y[_]*g];k.nodes[_].x0=L[0]-d/2,k.nodes[_].x1=L[0]+d/2;var C=k.nodes[_].y1-k.nodes[_].y0;k.nodes[_].y0=L[1]-C/2,k.nodes[_].y1=L[1]+C/2}if(\"snap\"===a.arrangement)!function(t){t.forEach((function(t){var e,r,n,i=0,a=t.length;for(t.sort((function(t,e){return t.y0-e.y0})),n=0;n<a;++n)(e=t[n]).y0>=i||(r=i-e.y0)>1e-6&&(e.y0+=r,e.y1+=r),i=e.y1+p}))}(function(t){var e,r,n=t.map((function(t,e){return{x0:t.x0,index:e}})).sort((function(t,e){return t.x0-e.x0})),i=[],a=-1,o=-1/0;for(_=0;_<n.length;_++){var s=t[n[_].index];s.x0>o+d&&(a+=1,e=s.x0),o=s.x0,i[a]||(i[a]=[]),i[a].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return i}(v=k.nodes));n.update(k)}return{circular:b,key:r,trace:a,guid:h.randstr(),horizontal:f,width:m,height:g,nodePad:a.node.pad,nodeLineColor:a.node.line.color,nodeLineWidth:a.node.line.width,linkLineColor:a.link.line.color,linkLineWidth:a.link.line.width,valueFormat:a.valueformat,valueSuffix:a.valuesuffix,textFont:a.textfont,translateX:u.x[0]*t.width+t.margin.l,translateY:t.height-u.y[1]*t.height+t.margin.t,dragParallel:f?g:m,dragPerpendicular:f?m:g,arrangement:a.arrangement,sankey:n,graph:k,forceLayouts:{},interactionState:{dragInProgress:!1,hovered:!1}}}function A(t,e,r){var n=c(e.color),i=e.source.label+\"|\"+e.target.label+\"__\"+r;return e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:i,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:u.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkPath:M,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function M(){return function(t){if(t.link.circular)return e=t.link,r=e.width/2,n=e.circularPathData,\"top\"===e.circularLinkType?\"M \"+n.targetX+\" \"+(n.targetY+r)+\" L\"+n.rightInnerExtent+\" \"+(n.targetY+r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 1 \"+(n.rightFullExtent-r)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 1 \"+n.rightInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 1 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 0 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+n.rightInnerExtent+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 0 \"+(n.rightFullExtent+r)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 0 \"+n.rightInnerExtent+\" \"+(n.targetY-r)+\"L\"+n.targetX+\" \"+(n.targetY-r)+\"Z\":\"M \"+n.targetX+\" \"+(n.targetY-r)+\" L\"+n.rightInnerExtent+\" \"+(n.targetY-r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 0 \"+(n.rightFullExtent-r)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 0 \"+n.rightInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 0 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 1 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+n.rightInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 1 \"+(n.rightFullExtent+r)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 1 \"+n.rightInnerExtent+\" \"+(n.targetY+r)+\"L\"+n.targetX+\" \"+(n.targetY+r)+\"Z\";var e,r,n,a=t.link.source.x1,o=t.link.target.x0,s=i(a,o),l=s(.5),c=s(.5),u=t.link.y0-t.link.width/2,f=t.link.y0+t.link.width/2,h=t.link.y1-t.link.width/2,p=t.link.y1+t.link.width/2;return\"M\"+a+\",\"+u+\"C\"+l+\",\"+u+\" \"+c+\",\"+h+\" 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e.group&&(s=h.randstr()),e.trace=t.trace,e.curveNumber=t.trace.index,{index:e.pointNumber,key:s,partOfGroup:e.partOfGroup||!1,group:e.group,traceId:t.key,trace:t.trace,node:e,nodePad:t.nodePad,nodeLineColor:t.nodeLineColor,nodeLineWidth:t.nodeLineWidth,textFont:t.textFont,size:t.horizontal?t.height:t.width,visibleWidth:Math.ceil(a),visibleHeight:o,zoneX:-n,zoneY:-i,zoneWidth:a+2*n,zoneHeight:o+2*i,labelY:t.horizontal?e.dy/2+1:e.dx/2+1,left:1===e.originalLayer,sizeAcross:t.width,forceLayouts:t.forceLayouts,horizontal:t.horizontal,darkBackground:r.getBrightness()<=128,tinyColorHue:u.tinyRGB(r),tinyColorAlpha:r.getAlpha(),valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,graph:t.graph,arrangement:t.arrangement,uniqueNodeLabelPathId:[t.guid,t.key,s].join(\"_\"),interactionState:t.interactionState,figure:t}}function E(t){t.attr(\"transform\",(function(t){return p(t.node.x0.toFixed(3),t.node.y0.toFixed(3))}))}function L(t){t.call(E)}function 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g=\"projection.\"+d[m];f(g+\".show\")&&(f(g+\".opacity\"),f(g+\".scale\"))}var v=n.getComponentMethod(\"errorbars\",\"supplyDefaults\");v(t,e,h||p||r,{axis:\"z\"}),v(t,e,h||p||r,{axis:\"y\",inherit:\"z\"}),v(t,e,h||p||r,{axis:\"x\",inherit:\"z\"})}else e.visible=!1}},{\"../../lib\":503,\"../../registry\":638,\"../scatter/line_defaults\":940,\"../scatter/marker_defaults\":946,\"../scatter/subtypes\":952,\"../scatter/text_defaults\":953,\"./attributes\":955}],960:[function(t,e,r){\"use 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n=t(\"../scatter/attributes\"),i=t(\"../../plots/attributes\"),a=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../../plots/template_attributes\").texttemplateAttrs,s=t(\"../../components/colorscale/attributes\"),l=t(\"../../lib/extend\").extendFlat,c=n.marker,u=n.line,f=c.line;e.exports={carpet:{valType:\"string\",editType:\"calc\"},a:{valType:\"data_array\",editType:\"calc\"},b:{valType:\"data_array\",editType:\"calc\"},mode:l({},n.mode,{dflt:\"markers\"}),text:l({},n.text,{}),texttemplate:o({editType:\"plot\"},{keys:[\"a\",\"b\",\"text\"]}),hovertext:l({},n.hovertext,{}),line:{color:u.color,width:u.width,dash:u.dash,shape:l({},u.shape,{values:[\"linear\",\"spline\"]}),smoothing:u.smoothing,editType:\"calc\"},connectgaps:n.connectgaps,fill:l({},n.fill,{values:[\"none\",\"toself\",\"tonext\"],dflt:\"none\"}),fillcolor:n.fillcolor,marker:l({symbol:c.symbol,opacity:c.opacity,maxdisplayed:c.maxdisplayed,size:c.size,sizeref:c.sizeref,sizemin:c.sizemin,sizemode:c.sizemode,line:l({width:f.width,editType:\"calc\"},s(\"marker.line\")),gradient:c.gradient,editType:\"calc\"},s(\"marker\")),textfont:n.textfont,textposition:n.textposition,selected:n.selected,unselected:n.unselected,hoverinfo:l({},i.hoverinfo,{flags:[\"a\",\"b\",\"text\",\"name\"]}),hoveron:n.hoveron,hovertemplate:a()}},{\"../../components/colorscale/attributes\":373,\"../../lib/extend\":493,\"../../plots/attributes\":550,\"../../plots/template_attributes\":633,\"../scatter/attributes\":927}],962:[function(t,e,r){\"use 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n=t(\"../../lib\"),i=t(\"../scatter/constants\"),a=t(\"../scatter/subtypes\"),o=t(\"../scatter/marker_defaults\"),s=t(\"../scatter/line_defaults\"),l=t(\"../scatter/line_shape_defaults\"),c=t(\"../scatter/text_defaults\"),u=t(\"../scatter/fillcolor_defaults\"),f=t(\"./attributes\");e.exports=function(t,e,r,h){function p(r,i){return n.coerce(t,e,f,r,i)}p(\"carpet\"),e.xaxis=\"x\",e.yaxis=\"y\";var d=p(\"a\"),m=p(\"b\"),g=Math.min(d.length,m.length);if(g){e._length=g,p(\"text\"),p(\"texttemplate\"),p(\"hovertext\"),p(\"mode\",g<i.PTS_LINESONLY?\"lines+markers\":\"lines\"),a.hasLines(e)&&(s(t,e,r,h,p),l(t,e,p),p(\"connectgaps\")),a.hasMarkers(e)&&o(t,e,r,h,p,{gradient:!0}),a.hasText(e)&&c(t,e,h,p);var v=[];(a.hasMarkers(e)||a.hasText(e))&&(p(\"marker.maxdisplayed\"),v.push(\"points\")),p(\"fill\"),\"none\"!==e.fill&&(u(t,e,r,p),a.hasLines(e)||l(t,e,p)),\"tonext\"!==e.fill&&\"toself\"!==e.fill||v.push(\"fills\"),\"fills\"!==p(\"hoveron\",v.join(\"+\")||\"points\")&&p(\"hovertemplate\"),n.coerceSelectionMarkerOpacity(e,p)}else e.visible=!1}},{\"../../lib\":503,\"../scatter/constants\":931,\"../scatter/fillcolor_defaults\":935,\"../scatter/line_defaults\":940,\"../scatter/line_shape_defaults\":942,\"../scatter/marker_defaults\":946,\"../scatter/subtypes\":952,\"../scatter/text_defaults\":953,\"./attributes\":961}],964:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n,i){var a=n[i];return t.a=a.a,t.b=a.b,t.y=a.y,t}},{}],965:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r={},n=e._carpet,i=n.ab2ij([t.a,t.b]),a=Math.floor(i[0]),o=i[0]-a,s=Math.floor(i[1]),l=i[1]-s,c=n.evalxy([],a,s,o,l);return r.yLabel=c[1].toFixed(3),r}},{}],966:[function(t,e,r){\"use strict\";var n=t(\"../scatter/hover\"),i=t(\"../../lib\").fillText;e.exports=function(t,e,r,a){var o=n(t,e,r,a);if(o&&!1!==o[0].index){var s=o[0];if(void 0===s.index){var l=1-s.y0/t.ya._length,c=t.xa._length,u=c*l/2,f=c-u;return s.x0=Math.max(Math.min(s.x0,f),u),s.x1=Math.max(Math.min(s.x1,f),u),o}var h=s.cd[s.index];s.a=h.a,s.b=h.b,s.xLabelVal=void 0,s.yLabelVal=void 0;var p=s.trace,d=p._carpet,m=p._module.formatLabels(h,p);s.yLabel=m.yLabel,delete s.text;var g=[];if(!p.hovertemplate){var v=(h.hi||p.hoverinfo).split(\"+\");-1!==v.indexOf(\"all\")&&(v=[\"a\",\"b\",\"text\"]),-1!==v.indexOf(\"a\")&&y(d.aaxis,h.a),-1!==v.indexOf(\"b\")&&y(d.baxis,h.b),g.push(\"y: \"+s.yLabel),-1!==v.indexOf(\"text\")&&i(h,p,g),s.extraText=g.join(\"<br>\")}return o}function y(t,e){var r;r=t.labelprefix&&t.labelprefix.length>0?t.labelprefix.replace(/ = $/,\"\"):t._hovertitle,g.push(r+\": \"+e.toFixed(3)+t.labelsuffix)}}},{\"../../lib\":503,\"../scatter/hover\":938}],967:[function(t,e,r){\"use 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n=t(\"../../lib\"),i=t(\"../scatter/subtypes\"),a=t(\"../scatter/marker_defaults\"),o=t(\"../scatter/line_defaults\"),s=t(\"../scatter/text_defaults\"),l=t(\"../scatter/fillcolor_defaults\"),c=t(\"./attributes\");e.exports=function(t,e,r,u){function f(r,i){return n.coerce(t,e,c,r,i)}var h,p=f(\"locations\");if(p&&p.length){var d,m=f(\"geojson\");(\"string\"==typeof m&&\"\"!==m||n.isPlainObject(m))&&(d=\"geojson-id\"),\"geojson-id\"===f(\"locationmode\",d)&&f(\"featureidkey\"),h=p.length}else{var 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M=p.font[r]={};M.size=(s.isTypedArray(f)?f[r]:Array.isArray(f)?n(f[r])?f[r]:0:f)*d,M.family=Array.isArray(h)?h[r]:h}else p.font={size:f*d,family:h};return p}function x(t){var e,r,n=t._length,i=t.marker,o={},l=s.isArrayOrTypedArray(i.symbol),c=s.isArrayOrTypedArray(i.color),f=s.isArrayOrTypedArray(i.line.color),d=s.isArrayOrTypedArray(i.opacity),m=s.isArrayOrTypedArray(i.size),g=s.isArrayOrTypedArray(i.line.width);if(l||(r=p.isOpenSymbol(i.symbol)),l||c||f||d){o.colors=new Array(n),o.borderColors=new Array(n);var v=u(i,i.opacity,n),y=u(i.line,i.opacity,n);if(!Array.isArray(y[0])){var x=y;for(y=Array(n),e=0;e<n;e++)y[e]=x}if(!Array.isArray(v[0])){var b=v;for(v=Array(n),e=0;e<n;e++)v[e]=b}for(o.colors=v,o.borderColors=y,e=0;e<n;e++){if(l){var _=i.symbol[e];r=p.isOpenSymbol(_)}r&&(y[e]=v[e].slice(),v[e]=v[e].slice(),v[e][3]=0)}o.opacity=t.opacity}else 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i={opacity:1,text:e.text,texttemplate:e.texttemplate,textposition:e.textposition,textfont:s.extendFlat({},e.textfont)};r.textfont&&s.extendFlat(i.textfont,r.textfont),n=y(t,i)}return n}function w(t,e,r){var n={capSize:2*e.width*r,lineWidth:e.thickness*r,color:e.color};return e.copy_ystyle&&(n=t.error_y),n}var T=d.SYMBOL_SDF_SIZE,k=d.SYMBOL_SIZE,A=d.SYMBOL_STROKE,M={},S=l.symbolFuncs[0](.05*k);function E(t){if(\"circle\"===t)return null;var e,r,n=l.symbolNumber(t),a=l.symbolFuncs[n%100],o=!!l.symbolNoDot[n%100],s=!!l.symbolNoFill[n%100],c=p.isDotSymbol(t);return M[t]?M[t]:(e=c&&!o?a(1.1*k)+S:a(k),r=i(e,{w:T,h:T,viewBox:[-k,-k,k,k],stroke:s?A:-A}),M[t]=r,r||null)}e.exports={style:function(t,e){var r,n={marker:void 0,markerSel:void 0,markerUnsel:void 0,line:void 0,fill:void 0,errorX:void 0,errorY:void 0,text:void 0,textSel:void 0,textUnsel:void 0},i=t._context.plotGlPixelRatio;if(!0!==e.visible)return 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T=y-_,k=y+w;p[v+u[0]]=x-i.c2l(T),p[v+u[1]]=i.c2l(k)-x,p[v+u[2]]=0,p[v+u[3]]=0,d=Math.min(d,y-_),m=Math.max(m,y+w)}}}h[a]={positions:r,errors:p,_bnds:[d,m]}}}return p(i,l),p(a,u),h},textPosition:function(t,e,r,n){var i,a=e._length,o={};if(f.hasMarkers(e)){var s=r.font,l=r.align,c=r.baseline;for(o.offset=new Array(a),i=0;i<a;i++){var u=n.sizes?n.sizes[i]:n.size,h=Array.isArray(s)?s[i].size:s.size,p=Array.isArray(l)?l.length>1?l[i]:l[0]:l,d=Array.isArray(c)?c.length>1?c[i]:c[0]:c,m=g[p],v=g[d],y=u?u/.8+1:0,x=-v*y-.5*v;o.offset[i]=[m*y/h,x/h]}}return o}}},{\"../../components/drawing\":388,\"../../components/fx/helpers\":402,\"../../constants/interactions\":478,\"../../lib\":503,\"../../lib/gl_format_color\":499,\"../../plots/cartesian/axis_ids\":558,\"../../registry\":638,\"../scatter/make_bubble_size_func\":944,\"../scatter/subtypes\":952,\"./constants\":982,\"./helpers\":987,\"color-normalize\":89,\"fast-isnumeric\":190,\"svg-path-sdf\":310}],984:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../registry\"),a=t(\"./helpers\"),o=t(\"./attributes\"),s=t(\"../scatter/constants\"),l=t(\"../scatter/subtypes\"),c=t(\"../scatter/xy_defaults\"),u=t(\"../scatter/period_defaults\"),f=t(\"../scatter/marker_defaults\"),h=t(\"../scatter/line_defaults\"),p=t(\"../scatter/fillcolor_defaults\"),d=t(\"../scatter/text_defaults\");e.exports=function(t,e,r,m){function g(r,i){return n.coerce(t,e,o,r,i)}var v=!!t.marker&&a.isOpenSymbol(t.marker.symbol),y=l.isBubble(t),x=c(t,e,m,g);if(x){u(t,e,m,g),g(\"xhoverformat\"),g(\"yhoverformat\");var b=x<s.PTS_LINESONLY?\"lines+markers\":\"lines\";g(\"text\"),g(\"hovertext\"),g(\"hovertemplate\"),g(\"mode\",b),l.hasLines(e)&&(g(\"connectgaps\"),h(t,e,r,m,g),g(\"line.shape\")),l.hasMarkers(e)&&(f(t,e,r,m,g),g(\"marker.line.width\",v||y?1:0)),l.hasText(e)&&(g(\"texttemplate\"),d(t,e,m,g));var _=(e.line||{}).color,w=(e.marker||{}).color;g(\"fill\"),\"none\"!==e.fill&&p(t,e,r,g);var T=i.getComponentMethod(\"errorbars\",\"supplyDefaults\");T(t,e,_||w||r,{axis:\"y\"}),T(t,e,_||w||r,{axis:\"x\",inherit:\"y\"}),n.coerceSelectionMarkerOpacity(e,g)}else e.visible=!1}},{\"../../lib\":503,\"../../registry\":638,\"../scatter/constants\":931,\"../scatter/fillcolor_defaults\":935,\"../scatter/line_defaults\":940,\"../scatter/marker_defaults\":946,\"../scatter/period_defaults\":947,\"../scatter/subtypes\":952,\"../scatter/text_defaults\":953,\"../scatter/xy_defaults\":954,\"./attributes\":979,\"./helpers\":987}],985:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/color\"),a=t(\"../../constants/interactions\").DESELECTDIM;e.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,c=l._scene,u=l.index,f=c.selectBatch[u],h=c.unselectBatch[u],p=c.textOptions[u],d=c.textSelectedOptions[u]||{},m=c.textUnselectedOptions[u]||{},g=n.extendFlat({},p);if(f.length||h.length){var v=d.color,y=m.color,x=p.color,b=Array.isArray(x);for(g.color=new Array(s._length),e=0;e<f.length;e++)r=f[e],g.color[r]=v||(b?x[r]:x);for(e=0;e<h.length;e++){r=h[e];var _=b?x[r]:x;g.color[r]=y||(v?_:i.addOpacity(_,a))}}c.glText[u].update(g)}}},{\"../../components/color\":366,\"../../constants/interactions\":478,\"../../lib\":503}],986:[function(t,e,r){\"use strict\";var n=t(\"../scatter/format_labels\");e.exports=function(t,e,r){var i=t.i;return\"x\"in t||(t.x=e._x[i]),\"y\"in t||(t.y=e._y[i]),n(t,e,r)}},{\"../scatter/format_labels\":936}],987:[function(t,e,r){\"use strict\";var n=t(\"./constants\");r.isOpenSymbol=function(t){return\"string\"==typeof t?n.OPEN_RE.test(t):t%200>100},r.isDotSymbol=function(t){return\"string\"==typeof t?n.DOT_RE.test(t):t>200}},{\"./constants\":982}],988:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),i=t(\"../../lib\"),a=t(\"../scatter/get_trace_color\");function o(t,e,r,o){var s=t.xa,l=t.ya,c=t.distance,u=t.dxy,f=t.index,h={pointNumber:f,x:e[f],y:r[f]};h.tx=Array.isArray(o.text)?o.text[f]:o.text,h.htx=Array.isArray(o.hovertext)?o.hovertext[f]:o.hovertext,h.data=Array.isArray(o.customdata)?o.customdata[f]:o.customdata,h.tp=Array.isArray(o.textposition)?o.textposition[f]:o.textposition;var p=o.textfont;p&&(h.ts=i.isArrayOrTypedArray(p.size)?p.size[f]:p.size,h.tc=Array.isArray(p.color)?p.color[f]:p.color,h.tf=Array.isArray(p.family)?p.family[f]:p.family);var d=o.marker;d&&(h.ms=i.isArrayOrTypedArray(d.size)?d.size[f]:d.size,h.mo=i.isArrayOrTypedArray(d.opacity)?d.opacity[f]:d.opacity,h.mx=i.isArrayOrTypedArray(d.symbol)?d.symbol[f]:d.symbol,h.mc=i.isArrayOrTypedArray(d.color)?d.color[f]:d.color);var m=d&&d.line;m&&(h.mlc=Array.isArray(m.color)?m.color[f]:m.color,h.mlw=i.isArrayOrTypedArray(m.width)?m.width[f]:m.width);var g=d&&d.gradient;g&&\"none\"!==g.type&&(h.mgt=Array.isArray(g.type)?g.type[f]:g.type,h.mgc=Array.isArray(g.color)?g.color[f]:g.color);var v=s.c2p(h.x,!0),y=l.c2p(h.y,!0),x=h.mrc||1,b=o.hoverlabel;b&&(h.hbg=Array.isArray(b.bgcolor)?b.bgcolor[f]:b.bgcolor,h.hbc=Array.isArray(b.bordercolor)?b.bordercolor[f]:b.bordercolor,h.hts=i.isArrayOrTypedArray(b.font.size)?b.font.size[f]:b.font.size,h.htc=Array.isArray(b.font.color)?b.font.color[f]:b.font.color,h.htf=Array.isArray(b.font.family)?b.font.family[f]:b.font.family,h.hnl=i.isArrayOrTypedArray(b.namelength)?b.namelength[f]:b.namelength);var _=o.hoverinfo;_&&(h.hi=Array.isArray(_)?_[f]:_);var w=o.hovertemplate;w&&(h.ht=Array.isArray(w)?w[f]:w);var T={};T[t.index]=h;var k=o._origX,A=o._origY,M=i.extendFlat({},t,{color:a(o,h),x0:v-x,x1:v+x,xLabelVal:k?k[f]:h.x,y0:y-x,y1:y+x,yLabelVal:A?A[f]:h.y,cd:T,distance:c,spikeDistance:u,hovertemplate:h.ht});return h.htx?M.text=h.htx:h.tx?M.text=h.tx:o.text&&(M.text=o.text),i.fillText(h,o,M),n.getComponentMethod(\"errorbars\",\"hoverInfo\")(h,o,M),M}e.exports={hoverPoints:function(t,e,r,n){var i,a,s,l,c,u,f,h,p,d,m=t.cd,g=m[0].t,v=m[0].trace,y=t.xa,x=t.ya,b=g.x,_=g.y,w=y.c2p(e),T=x.c2p(r),k=t.distance;if(g.tree){var A=y.p2c(w-k),M=y.p2c(w+k),S=x.p2c(T-k),E=x.p2c(T+k);i=\"x\"===n?g.tree.range(Math.min(A,M),Math.min(x._rl[0],x._rl[1]),Math.max(A,M),Math.max(x._rl[0],x._rl[1])):g.tree.range(Math.min(A,M),Math.min(S,E),Math.max(A,M),Math.max(S,E))}else i=g.ids;var L=k;if(\"x\"===n){var C=!!v.xperiodalignment,P=!!v.yperiodalignment;for(u=0;u<i.length;u++){if(l=b[a=i[u]],f=Math.abs(y.c2p(l)-w),C){var I=y.c2p(v._xStarts[a]),O=y.c2p(v._xEnds[a]);f=w>=Math.min(I,O)&&w<=Math.max(I,O)?0:1/0}if(f<L){if(L=f,c=_[a],h=x.c2p(c)-T,P){var z=x.c2p(v._yStarts[a]),D=x.c2p(v._yEnds[a]);h=T>=Math.min(z,D)&&T<=Math.max(z,D)?0:1/0}d=Math.sqrt(f*f+h*h),s=i[u]}}}else for(u=i.length-1;u>-1;u--)l=b[a=i[u]],c=_[a],f=y.c2p(l)-w,h=x.c2p(c)-T,(p=Math.sqrt(f*f+h*h))<L&&(L=d=p,s=a);return t.index=s,t.distance=L,t.dxy=d,void 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_=y.count,w=v._glcanvas.data()[0].regl;if(f(t,e,r),y.dirty){if(!0===y.error2d&&(y.error2d=a(w)),!0===y.line2d&&(y.line2d=i(w)),!0===y.scatter2d&&(y.scatter2d=n(w)),!0===y.fill2d&&(y.fill2d=i(w)),!0===y.glText)for(y.glText=new Array(_),m=0;m<_;m++)y.glText[m]=new o(w);if(y.glText){if(_>y.glText.length){var T=_-y.glText.length;for(m=0;m<T;m++)y.glText.push(new o(w))}else if(_<y.glText.length){var k=y.glText.length-_;y.glText.splice(_,k).forEach((function(t){t.destroy()}))}for(m=0;m<_;m++)y.glText[m].update(y.textOptions[m])}if(y.line2d&&(y.line2d.update(y.lineOptions),y.lineOptions=y.lineOptions.map((function(t){if(t&&t.positions){for(var e=t.positions,r=0;r<e.length&&(isNaN(e[r])||isNaN(e[r+1]));)r+=2;for(var n=e.length-2;n>r&&(isNaN(e[n])||isNaN(e[n+1]));)n-=2;t.positions=e.slice(r,n+2)}return t})),y.line2d.update(y.lineOptions)),y.error2d){var A=(y.errorXOptions||[]).concat(y.errorYOptions||[]);y.error2d.update(A)}y.scatter2d&&y.scatter2d.update(y.markerOptions),y.fillOrder=s.repeat(null,_),y.fill2d&&(y.fillOptions=y.fillOptions.map((function(t,e){var n=r[e];if(t&&n&&n[0]&&n[0].trace){var i,a,o=n[0],s=o.trace,l=o.t,c=y.lineOptions[e],u=[];s._ownfill&&u.push(e),s._nexttrace&&u.push(e+1),u.length&&(y.fillOrder[e]=u);var f,h,p=[],d=c&&c.positions||l.positions;if(\"tozeroy\"===s.fill){for(f=0;f<d.length&&isNaN(d[f+1]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h+1]);)h-=2;0!==d[f+1]&&(p=[d[f],0]),p=p.concat(d.slice(f,h+2)),0!==d[h+1]&&(p=p.concat([d[h],0]))}else if(\"tozerox\"===s.fill){for(f=0;f<d.length&&isNaN(d[f]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h]);)h-=2;0!==d[f]&&(p=[0,d[f+1]]),p=p.concat(d.slice(f,h+2)),0!==d[h]&&(p=p.concat([0,d[h+1]]))}else 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R=y.selectBatch[I]=s.selIndices2selPoints(C),F={};for(g=0;g<R.length;g++)F[R[g]]=1;var B=[];for(g=0;g<O;g++)F[g]||B.push(g);y.unselectBatch[I]=B}var N=P.xpx=new Array(O),j=P.ypx=new Array(O);for(g=0;g<O;g++)N[g]=x.c2p(z[g]),j[g]=b.c2p(D[g])}else P.xpx=P.ypx=null}if(S){if(y.select2d||(y.select2d=n(v._glcanvas.data()[1].regl)),y.scatter2d){var U=new Array(_);for(m=0;m<_;m++)U[m]=y.selectBatch[m].length||y.unselectBatch[m].length?y.markerUnselectedOptions[m]:{};y.scatter2d.update(U)}y.select2d&&(y.select2d.update(y.markerOptions),y.select2d.update(y.markerSelectedOptions)),y.glText&&r.forEach((function(t){var e=((t||[])[0]||{}).trace||{};u.hasText(e)&&h(t)}))}else y.scatter2d&&y.scatter2d.update(y.markerOptions);var V={viewport:d(v,x,b,t._context.plotGlPixelRatio),range:[(x._rl||x.range)[0],(b._rl||b.range)[0],(x._rl||x.range)[1],(b._rl||b.range)[1]]},H=s.repeat(V,y.count);y.fill2d&&y.fill2d.update(H),y.line2d&&y.line2d.update(H),y.error2d&&y.error2d.update(H.concat(H)),y.scatter2d&&y.scatter2d.update(H),y.select2d&&y.select2d.update(H),y.glText&&y.glText.forEach((function(t){t.update(V)}))}else y.init()}}).reglPrecompiled=p},{\"../../components/dragelement/helpers\":384,\"../../lib\":503,\"../../lib/prepare_regl\":516,\"../scatter/link_traces\":943,\"../scatter/subtypes\":952,\"./edit_style\":985,\"gl-text\":225,\"regl-error2d\":279,\"regl-line2d\":280,\"regl-scatter2d\":281}],991:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");e.exports=function(t,e){var r=e._scene,i={count:0,dirty:!0,lineOptions:[],fillOptions:[],markerOptions:[],markerSelectedOptions:[],markerUnselectedOptions:[],errorXOptions:[],errorYOptions:[],textOptions:[],textSelectedOptions:[],textUnselectedOptions:[],selectBatch:[],unselectBatch:[]},a={fill2d:!1,scatter2d:!1,error2d:!1,line2d:!1,glText:!1,select2d:!1};return e._scene||((r=e._scene={}).init=function(){n.extendFlat(r,a,i)},r.init(),r.update=function(t){var e=n.repeat(t,r.count);if(r.fill2d&&r.fill2d.update(e),r.scatter2d&&r.scatter2d.update(e),r.line2d&&r.line2d.update(e),r.error2d&&r.error2d.update(e.concat(e)),r.select2d&&r.select2d.update(e),r.glText)for(var i=0;i<r.count;i++)r.glText[i].update(t)},r.draw=function(){for(var t=r.count,e=r.fill2d,i=r.error2d,a=r.line2d,o=r.scatter2d,s=r.glText,l=r.select2d,c=r.selectBatch,u=r.unselectBatch,f=0;f<t;f++){if(e&&r.fillOrder[f]&&e.draw(r.fillOrder[f]),a&&r.lineOptions[f]&&a.draw(f),i&&(r.errorXOptions[f]&&i.draw(f),r.errorYOptions[f]&&i.draw(f+t)),o&&r.markerOptions[f])if(u[f].length){var h=n.repeat([],r.count);h[f]=u[f],o.draw(h)}else c[f].length||o.draw(f);s[f]&&r.textOptions[f]&&s[f].render()}l&&l.draw(c),r.dirty=!1},r.destroy=function(){r.fill2d&&r.fill2d.destroy&&r.fill2d.destroy(),r.scatter2d&&r.scatter2d.destroy&&r.scatter2d.destroy(),r.error2d&&r.error2d.destroy&&r.error2d.destroy(),r.line2d&&r.line2d.destroy&&r.line2d.destroy(),r.select2d&&r.select2d.destroy&&r.select2d.destroy(),r.glText&&r.glText.forEach((function(t){t.destroy&&t.destroy()})),r.lineOptions=null,r.fillOptions=null,r.markerOptions=null,r.markerSelectedOptions=null,r.markerUnselectedOptions=null,r.errorXOptions=null,r.errorYOptions=null,r.textOptions=null,r.textSelectedOptions=null,r.textUnselectedOptions=null,r.selectBatch=null,r.unselectBatch=null,e._scene=null}),r.dirty||n.extendFlat(r,i),r}},{\"../../lib\":503}],992:[function(t,e,r){\"use strict\";var n=t(\"../scatter/subtypes\"),i=t(\"./edit_style\").styleTextSelection;e.exports=function(t,e){var r=t.cd,a=t.xaxis,o=t.yaxis,s=[],l=r[0].trace,c=r[0].t,u=l._length,f=c.x,h=c.y,p=c._scene,d=c.index;if(!p)return s;var m=n.hasText(l),g=n.hasMarkers(l),v=!g&&!m;if(!0!==l.visible||v)return s;var y=[],x=[];if(!1!==e&&!e.degenerate)for(var b=0;b<u;b++)e.contains([c.xpx[b],c.ypx[b]],!1,b,t)?(y.push(b),s.push({pointNumber:b,x:a.c2d(f[b]),y:o.c2d(h[b])})):x.push(b);if(g){var _=p.scatter2d;if(y.length||x.length){if(!p.selectBatch[d].length&&!p.unselectBatch[d].length){var w=new Array(p.count);w[d]=p.markerUnselectedOptions[d],_.update.apply(_,w)}}else{var T=new Array(p.count);T[d]=p.markerOptions[d],_.update.apply(_,T)}}return p.selectBatch[d]=y,p.unselectBatch[d]=x,m&&i(r),s}},{\"../scatter/subtypes\":952,\"./edit_style\":985}],993:[function(t,e,r){\"use strict\";var n=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../../plots/template_attributes\").texttemplateAttrs,a=t(\"../scattergeo/attributes\"),o=t(\"../scatter/attributes\"),s=t(\"../../plots/mapbox/layout_attributes\"),l=t(\"../../plots/attributes\"),c=t(\"../../components/colorscale/attributes\"),u=t(\"../../lib/extend\").extendFlat,f=t(\"../../plot_api/edit_types\").overrideAll,h=a.line,p=a.marker;e.exports=f({lon:a.lon,lat:a.lat,mode:u({},o.mode,{dflt:\"markers\"}),text:u({},o.text,{}),texttemplate:i({editType:\"plot\"},{keys:[\"lat\",\"lon\",\"text\"]}),hovertext:u({},o.hovertext,{}),line:{color:h.color,width:h.width},connectgaps:o.connectgaps,marker:u({symbol:{valType:\"string\",dflt:\"circle\",arrayOk:!0},angle:{valType:\"number\",dflt:\"auto\",arrayOk:!0},allowoverlap:{valType:\"boolean\",dflt:!1},opacity:p.opacity,size:p.size,sizeref:p.sizeref,sizemin:p.sizemin,sizemode:p.sizemode},c(\"marker\")),fill:a.fill,fillcolor:o.fillcolor,textfont:s.layers.symbol.textfont,textposition:s.layers.symbol.textposition,below:{valType:\"string\"},selected:{marker:o.selected.marker},unselected:{marker:o.unselected.marker},hoverinfo:u({},l.hoverinfo,{flags:[\"lon\",\"lat\",\"text\",\"name\"]}),hovertemplate:n()},\"calc\",\"nested\")},{\"../../components/colorscale/attributes\":373,\"../../lib/extend\":493,\"../../plot_api/edit_types\":536,\"../../plots/attributes\":550,\"../../plots/mapbox/layout_attributes\":615,\"../../plots/template_attributes\":633,\"../scatter/attributes\":927,\"../scattergeo/attributes\":969}],994:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib\"),a=t(\"../../constants/numerical\").BADNUM,o=t(\"../../lib/geojson_utils\"),s=t(\"../../components/colorscale\"),l=t(\"../../components/drawing\"),c=t(\"../scatter/make_bubble_size_func\"),u=t(\"../scatter/subtypes\"),f=t(\"../../plots/mapbox/convert_text_opts\"),h=t(\"../../components/fx/helpers\").appendArrayPointValue,p=t(\"../../lib/svg_text_utils\").NEWLINES,d=t(\"../../lib/svg_text_utils\").BR_TAG_ALL;function m(){return{geojson:o.makeBlank(),layout:{visibility:\"none\"},paint:{}}}function g(t,e){return i.isArrayOrTypedArray(t)?e?function(e){return n(t[e])?+t[e]:0}:function(e){return t[e]}:t?function(){return t}:v}function v(){return\"\"}function y(t){return t[0]===a}e.exports=function(t,e){var r,a=e[0].trace,x=!0===a.visible&&0!==a._length,b=\"none\"!==a.fill,_=u.hasLines(a),w=u.hasMarkers(a),T=u.hasText(a),k=w&&\"circle\"===a.marker.symbol,A=w&&\"circle\"!==a.marker.symbol,M=m(),S=m(),E=m(),L=m(),C={fill:M,line:S,circle:E,symbol:L};if(!x)return C;if((b||_)&&(r=o.calcTraceToLineCoords(e)),b&&(M.geojson=o.makePolygon(r),M.layout.visibility=\"visible\",i.extendFlat(M.paint,{\"fill-color\":a.fillcolor})),_&&(S.geojson=o.makeLine(r),S.layout.visibility=\"visible\",i.extendFlat(S.paint,{\"line-width\":a.line.width,\"line-color\":a.line.color,\"line-opacity\":a.opacity})),k){var P=function(t){var e,r,a,o,u=t[0].trace,f=u.marker,h=u.selectedpoints,p=i.isArrayOrTypedArray(f.color),d=i.isArrayOrTypedArray(f.size),m=i.isArrayOrTypedArray(f.opacity);function g(t){return u.opacity*t}p&&(r=s.hasColorscale(u,\"marker\")?s.makeColorScaleFuncFromTrace(f):i.identity);d&&(a=c(u));m&&(o=function(t){return g(n(t)?+i.constrain(t,0,1):0)});var v,x=[];for(e=0;e<t.length;e++){var 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n=t(\"../scatterpolar/attributes\"),i=t(\"../scattergl/attributes\"),a=t(\"../../plots/template_attributes\").texttemplateAttrs;e.exports={mode:n.mode,r:n.r,theta:n.theta,r0:n.r0,dr:n.dr,theta0:n.theta0,dtheta:n.dtheta,thetaunit:n.thetaunit,text:n.text,texttemplate:a({editType:\"plot\"},{keys:[\"r\",\"theta\",\"text\"]}),hovertext:n.hovertext,hovertemplate:n.hovertemplate,line:i.line,connectgaps:i.connectgaps,marker:i.marker,fill:i.fill,fillcolor:i.fillcolor,textposition:i.textposition,textfont:i.textfont,hoverinfo:n.hoverinfo,selected:n.selected,unselected:n.unselected}},{\"../../plots/template_attributes\":633,\"../scattergl/attributes\":979,\"../scatterpolar/attributes\":1002}],1010:[function(t,e,r){\"use 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A={};u.label&&(A.label=u.label),u.hasOwnProperty(\"v\")&&(A.value=u.v,A.valueLabel=b.formatValue(u.v,l)),A.currentPath=b.getPath(t.data),h||(A.percentParent=d/b.getValue(p),A.percentParentLabel=b.formatPercent(A.percentParent,l),A.parent=b.getPtLabel(p)),A.percentEntry=d/b.getValue(e),A.percentEntryLabel=b.formatPercent(A.percentEntry,l),A.entry=b.getPtLabel(e),A.percentRoot=d/b.getValue(f),A.percentRootLabel=b.formatPercent(A.percentRoot,l),A.root=b.getPtLabel(f),u.hasOwnProperty(\"color\")&&(A.color=u.color);var M=s.castOption(r,u.i,\"text\");return(s.isValidTextValue(M)||\"\"===M)&&(A.text=M),A.customdata=s.castOption(r,u.i,\"customdata\"),s.texttemplateString(k,A,i._d3locale,A,r._meta||{})}},{\"../../components/drawing\":388,\"../../lib\":503,\"../../lib/svg_text_utils\":529,\"../bar/style\":662,\"../bar/uniform_text\":664,\"../pie/helpers\":906,\"../pie/plot\":910,\"./constants\":1052,\"./fx\":1054,\"./helpers\":1055,\"./style\":1060,\"@plotly/d3\":58,\"d3-hierarchy\":115,\"d3-interpolate\":116}],1060:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../components/color\"),a=t(\"../../lib\"),o=t(\"../bar/uniform_text\").resizeText;function s(t,e,r){var n=e.data.data,o=!e.children,s=n.i,l=a.castOption(r,s,\"marker.line.color\")||i.defaultLine,c=a.castOption(r,s,\"marker.line.width\")||0;t.style(\"stroke-width\",c).call(i.fill,n.color).call(i.stroke,l).style(\"opacity\",o?r.leaf.opacity:null)}e.exports={style:function(t){var e=t._fullLayout._sunburstlayer.selectAll(\".trace\");o(t,e,\"sunburst\"),e.each((function(t){var e=n.select(this),r=t[0].trace;e.style(\"opacity\",r.opacity),e.selectAll(\"path.surface\").each((function(t){n.select(this).call(s,t,r)}))}))},styleOne:s}},{\"../../components/color\":366,\"../../lib\":503,\"../bar/uniform_text\":664,\"@plotly/d3\":58}],1061:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),i=t(\"../../components/colorscale/attributes\"),a=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,o=t(\"../../plots/template_attributes\").hovertemplateAttrs,s=t(\"../../plots/attributes\"),l=t(\"../../lib/extend\").extendFlat,c=t(\"../../plot_api/edit_types\").overrideAll;function u(t){return{show:{valType:\"boolean\",dflt:!1},start:{valType:\"number\",dflt:null,editType:\"plot\"},end:{valType:\"number\",dflt:null,editType:\"plot\"},size:{valType:\"number\",dflt:null,min:0,editType:\"plot\"},project:{x:{valType:\"boolean\",dflt:!1},y:{valType:\"boolean\",dflt:!1},z:{valType:\"boolean\",dflt:!1}},color:{valType:\"color\",dflt:n.defaultLine},usecolormap:{valType:\"boolean\",dflt:!1},width:{valType:\"number\",min:1,max:16,dflt:2},highlight:{valType:\"boolean\",dflt:!0},highlightcolor:{valType:\"color\",dflt:n.defaultLine},highlightwidth:{valType:\"number\",min:1,max:16,dflt:2}}}var f=e.exports=c(l({z:{valType:\"data_array\"},x:{valType:\"data_array\"},y:{valType:\"data_array\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:o(),xhoverformat:a(\"x\"),yhoverformat:a(\"y\"),zhoverformat:a(\"z\"),connectgaps:{valType:\"boolean\",dflt:!1,editType:\"calc\"},surfacecolor:{valType:\"data_array\"}},i(\"\",{colorAttr:\"z or surfacecolor\",showScaleDflt:!0,autoColorDflt:!1,editTypeOverride:\"calc\"}),{contours:{x:u(),y:u(),z:u()},hidesurface:{valType:\"boolean\",dflt:!1},lightposition:{x:{valType:\"number\",min:-1e5,max:1e5,dflt:10},y:{valType:\"number\",min:-1e5,max:1e5,dflt:1e4},z:{valType:\"number\",min:-1e5,max:1e5,dflt:0}},lighting:{ambient:{valType:\"number\",min:0,max:1,dflt:.8},diffuse:{valType:\"number\",min:0,max:1,dflt:.8},specular:{valType:\"number\",min:0,max:2,dflt:.05},roughness:{valType:\"number\",min:0,max:1,dflt:.5},fresnel:{valType:\"number\",min:0,max:5,dflt:.2}},opacity:{valType:\"number\",min:0,max:1,dflt:1},opacityscale:{valType:\"any\",editType:\"calc\"},_deprecated:{zauto:l({},i.zauto,{}),zmin:l({},i.zmin,{}),zmax:l({},i.zmax,{})},hoverinfo:l({},s.hoverinfo),showlegend:l({},s.showlegend,{dflt:!1})}),\"calc\",\"nested\");f.x.editType=f.y.editType=f.z.editType=\"calc+clearAxisTypes\",f.transforms=void 0},{\"../../components/color\":366,\"../../components/colorscale/attributes\":373,\"../../lib/extend\":493,\"../../plot_api/edit_types\":536,\"../../plots/attributes\":550,\"../../plots/cartesian/axis_format_attributes\":557,\"../../plots/template_attributes\":633}],1062:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/calc\");e.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:\"\",cLetter:\"c\"}):n(t,e,{vals:e.z,containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":374}],1063:[function(t,e,r){\"use strict\";var n=t(\"../../../stackgl_modules\").gl_surface3d,i=t(\"../../../stackgl_modules\").ndarray,a=t(\"../../../stackgl_modules\").ndarray_linear_interpolate.d2,o=t(\"../heatmap/interp2d\"),s=t(\"../heatmap/find_empties\"),l=t(\"../../lib\").isArrayOrTypedArray,c=t(\"../../lib/gl_format_color\").parseColorScale,u=t(\"../../lib/str2rgbarray\"),f=t(\"../../components/colorscale\").extractOpts;function h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?i:n.d2l(i,0,r)},p.getZat=function(t,e,r,n){var i=this.data.z[e][t];return null===i&&this.data.connectgaps&&this.data._interpolatedZ&&(i=this.data._interpolatedZ[e][t]),void 0===r?i:n.d2l(i,0,r)},p.handlePick=function(t){if(t.object===this.surface){var e=(t.data.index[0]-1)/this.dataScaleX-1,r=(t.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(e),this.data.z[0].length-1),0),i=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);t.index=[n,i],t.traceCoordinate=[this.getXat(n,i),this.getYat(n,i),this.getZat(n,i)],t.dataCoordinate=[this.getXat(n,i,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,i,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,i,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var a=0;a<3;a++){var o=t.dataCoordinate[a];null!=o&&(t.dataCoordinate[a]*=this.scene.dataScale[a])}var s=this.data.hovertext||this.data.text;return Array.isArray(s)&&s[i]&&void 0!==s[i][n]?t.textLabel=s[i][n]:t.textLabel=s||\"\",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var d=[2,3,5,7,11,13,17,19,23,29,31,37,41,43,47,53,59,61,67,71,73,79,83,89,97,101,103,107,109,113,127,131,137,139,149,151,157,163,167,173,179,181,191,193,197,199,211,223,227,229,233,239,241,251,257,263,269,271,277,281,283,293,307,311,313,317,331,337,347,349,353,359,367,373,379,383,389,397,401,409,419,421,431,433,439,443,449,457,461,463,467,479,487,491,499,503,509,521,523,541,547,557,563,569,571,577,587,593,599,601,607,613,617,619,631,641,643,647,653,659,661,673,677,683,691,701,709,719,727,733,739,743,751,757,761,769,773,787,797,809,811,821,823,827,829,839,853,857,859,863,877,881,883,887,907,911,919,929,937,941,947,953,967,971,977,983,991,997,1009,1013,1019,1021,1031,1033,1039,1049,1051,1061,1063,1069,1087,1091,1093,1097,1103,1109,1117,1123,1129,1151,1153,1163,1171,1181,1187,1193,1201,1213,1217,1223,1229,1231,1237,1249,1259,1277,1279,1283,1289,1291,1297,1301,1303,1307,1319,1321,1327,1361,1367,1373,1381,1399,1409,1423,1427,1429,1433,1439,1447,1451,1453,1459,1471,1481,1483,1487,1489,1493,1499,1511,1523,1531,1543,1549,1553,1559,1567,1571,1579,1583,1597,1601,1607,1609,1613,1619,1621,1627,1637,1657,1663,1667,1669,1693,1697,1699,1709,1721,1723,1733,1741,1747,1753,1759,1777,1783,1787,1789,1801,1811,1823,1831,1847,1861,1867,1871,1873,1877,1879,1889,1901,1907,1913,1931,1933,1949,1951,1973,1979,1987,1993,1997,1999,2003,2011,2017,2027,2029,2039,2053,2063,2069,2081,2083,2087,2089,2099,2111,2113,2129,2131,2137,2141,2143,2153,2161,2179,2203,2207,2213,2221,2237,2239,2243,2251,2267,2269,2273,2281,2287,2293,2297,2309,2311,2333,2339,2341,2347,2351,2357,2371,2377,2381,2383,2389,2393,2399,2411,2417,2423,2437,2441,2447,2459,2467,2473,2477,2503,2521,2531,2539,2543,2549,2551,2557,2579,2591,2593,2609,2617,2621,2633,2647,2657,2659,2663,2671,2677,2683,2687,2689,2693,2699,2707,2711,2713,2719,2729,2731,2741,2749,2753,2767,2777,2789,2791,2797,2801,2803,2819,2833,2837,2843,2851,2857,2861,2879,2887,2897,2903,2909,2917,2927,2939,2953,2957,2963,2969,2971,2999];function m(t,e){if(t<e)return 0;for(var r=0;0===Math.floor(t%e);)t/=e,r++;return r}function g(t){for(var e=[],r=0;r<d.length;r++){var n=d[r];e.push(m(t,n))}return e}function v(t){for(var e=g(t),r=t,n=0;n<d.length;n++)if(e[n]>0){r=d[n];break}return r}function y(t,e){if(!(t<1||e<1)){for(var r=g(t),n=g(e),i=1,a=0;a<d.length;a++)i*=Math.pow(d[a],Math.max(r[a],n[a]));return i}}p.calcXnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getXat(e-1,0),i=this.getXat(e,0);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r},p.calcYnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getYat(0,e-1),i=this.getYat(0,e);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r};var x=[1,2,4,6,12,24,36,48,60,120,180,240,360,720,840,1260],b=x[9],_=x[13];function w(t,e,r){var n=r[8]+r[2]*e[0]+r[5]*e[1];return t[0]=(r[6]+r[0]*e[0]+r[3]*e[1])/n,t[1]=(r[7]+r[1]*e[0]+r[4]*e[1])/n,t}function T(t,e,r){return function(t,e,r,n){for(var i=[0,0],o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var c=0;c<s;c++)r(i,[l,c],n),t.set(l,c,a(e,i[0],i[1]))}(t,e,w,r),t}function k(t,e){for(var r=!1,n=0;n<t.length;n++)if(e===t[n]){r=!0;break}!1===r&&t.push(e)}p.estimateScale=function(t,e){for(var r=1+function(t){if(0!==t.length){for(var e=1,r=0;r<t.length;r++)e=y(e,t[r]);return e}}(0===e?this.calcXnums(t):this.calcYnums(t));r<b;)r*=2;for(;r>_;)r--,r/=v(r),++r<b&&(r=_);var n=Math.round(r/t);return n>1?n:1},p.refineCoords=function(t){for(var e=this.dataScaleX,r=this.dataScaleY,n=t[0].shape[0],a=t[0].shape[1],o=0|Math.floor(t[0].shape[0]*e+1),s=0|Math.floor(t[0].shape[1]*r+1),l=1+n+1,c=1+a+1,u=i(new Float32Array(l*c),[l,c]),f=[1/e,0,0,0,1/r,0,0,0,1],h=0;h<t.length;++h){this.surface.padField(u,t[h]);var p=i(new Float32Array(o*s),[o,s]);T(p,u,f),t[h]=p}},p.setContourLevels=function(){var t,e,r,n=[[],[],[]],i=[!1,!1,!1],a=!1;for(t=0;t<3;++t)if(this.showContour[t]&&(a=!0,this.contourSize[t]>0&&null!==this.contourStart[t]&&null!==this.contourEnd[t]&&this.contourEnd[t]>this.contourStart[t]))for(i[t]=!0,e=this.contourStart[t];e<this.contourEnd[t];e+=this.contourSize[t])r=e*this.scene.dataScale[t],k(n[t],r);if(a){var o=[[],[],[]];for(t=0;t<3;++t)this.showContour[t]&&(o[t]=i[t]?n[t]:this.scene.contourLevels[t]);this.surface.update({levels:o})}},p.update=function(t){var e,r,n,a,l=this.scene,h=l.fullSceneLayout,p=this.surface,d=c(t),m=l.dataScale,g=t.z[0].length,v=t._ylength,y=l.contourLevels;this.data=t;var x=[];for(e=0;e<3;e++)for(x[e]=[],r=0;r<g;r++)x[e][r]=[];for(r=0;r<g;r++)for(n=0;n<v;n++)x[0][r][n]=this.getXat(r,n,t.xcalendar,h.xaxis),x[1][r][n]=this.getYat(r,n,t.ycalendar,h.yaxis),x[2][r][n]=this.getZat(r,n,t.zcalendar,h.zaxis);if(t.connectgaps)for(t._emptypoints=s(x[2]),o(x[2],t._emptypoints),t._interpolatedZ=[],r=0;r<g;r++)for(t._interpolatedZ[r]=[],n=0;n<v;n++)t._interpolatedZ[r][n]=x[2][r][n];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<v;n++)null==(a=x[e][r][n])?x[e][r][n]=NaN:a=x[e][r][n]*=m[e];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<v;n++)null!=(a=x[e][r][n])&&(this.minValues[e]>a&&(this.minValues[e]=a),this.maxValues[e]<a&&(this.maxValues[e]=a));for(e=0;e<3;e++)this.objectOffset[e]=.5*(this.minValues[e]+this.maxValues[e]);for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<v;n++)null!=(a=x[e][r][n])&&(x[e][r][n]-=this.objectOffset[e]);var b=[i(new Float32Array(g*v),[g,v]),i(new Float32Array(g*v),[g,v]),i(new Float32Array(g*v),[g,v])];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<v;n++)b[e].set(r,n,x[e][r][n]);x=[];var w={colormap:d,levels:[[],[],[]],showContour:[!0,!0,!0],showSurface:!t.hidesurface,contourProject:[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],contourWidth:[1,1,1],contourColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],contourTint:[1,1,1],dynamicColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],dynamicWidth:[1,1,1],dynamicTint:[1,1,1],opacityscale:t.opacityscale,opacity:t.opacity},T=f(t);if(w.intensityBounds=[T.min,T.max],t.surfacecolor){var k=i(new Float32Array(g*v),[g,v]);for(r=0;r<g;r++)for(n=0;n<v;n++)k.set(r,n,t.surfacecolor[n][r]);b.push(k)}else w.intensityBounds[0]*=m[2],w.intensityBounds[1]*=m[2];(_<b[0].shape[0]||_<b[0].shape[1])&&(this.refineData=!1),!0===this.refineData&&(this.dataScaleX=this.estimateScale(b[0].shape[0],0),this.dataScaleY=this.estimateScale(b[0].shape[1],1),1===this.dataScaleX&&1===this.dataScaleY||this.refineCoords(b)),t.surfacecolor&&(w.intensity=b.pop());var A=[!0,!0,!0],M=[\"x\",\"y\",\"z\"];for(e=0;e<3;++e){var S=t.contours[M[e]];A[e]=S.highlight,w.showContour[e]=S.show||S.highlight,w.showContour[e]&&(w.contourProject[e]=[S.project.x,S.project.y,S.project.z],S.show?(this.showContour[e]=!0,w.levels[e]=y[e],p.highlightColor[e]=w.contourColor[e]=u(S.color),S.usecolormap?p.highlightTint[e]=w.contourTint[e]=0:p.highlightTint[e]=w.contourTint[e]=1,w.contourWidth[e]=S.width,this.contourStart[e]=S.start,this.contourEnd[e]=S.end,this.contourSize[e]=S.size):(this.showContour[e]=!1,this.contourStart[e]=null,this.contourEnd[e]=null,this.contourSize[e]=0),S.highlight&&(w.dynamicColor[e]=u(S.highlightcolor),w.dynamicWidth[e]=S.highlightwidth))}(function(t){var e=t[0].rgb,r=t[t.length-1].rgb;return e[0]===r[0]&&e[1]===r[1]&&e[2]===r[2]&&e[3]===r[3]})(d)&&(w.vertexColor=!0),w.objectOffset=this.objectOffset,w.coords=b,p.update(w),p.visible=t.visible,p.enableDynamic=A,p.enableHighlight=A,p.snapToData=!0,\"lighting\"in t&&(p.ambientLight=t.lighting.ambient,p.diffuseLight=t.lighting.diffuse,p.specularLight=t.lighting.specular,p.roughness=t.lighting.roughness,p.fresnel=t.lighting.fresnel),\"lightposition\"in t&&(p.lightPosition=[t.lightposition.x,t.lightposition.y,t.lightposition.z])},p.dispose=function(){this.scene.glplot.remove(this.surface),this.surface.dispose()},e.exports=function(t,e){var r=t.glplot.gl,i=n({gl:r}),a=new h(t,i,e.uid);return i._trace=a,a.update(e),t.glplot.add(i),a}},{\"../../../stackgl_modules\":1124,\"../../components/colorscale\":378,\"../../lib\":503,\"../../lib/gl_format_color\":499,\"../../lib/str2rgbarray\":528,\"../heatmap/find_empties\":798,\"../heatmap/interp2d\":801}],1064:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),i=t(\"../../lib\"),a=t(\"../../components/colorscale/defaults\"),o=t(\"./attributes\");function s(t,e,r,n){var 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this._expand(r+1),this.words[r]=e?this.words[r]|1<<i:this.words[r]&~(1<<i),this.strip()},a.prototype.iadd=function(t){var e,r,n;if(0!==this.negative&&0===t.negative)return this.negative=0,e=this.isub(t),this.negative^=1,this._normSign();if(0===this.negative&&0!==t.negative)return t.negative=0,e=this.isub(t),t.negative=1,e._normSign();this.length>t.length?(r=this,n=t):(r=t,n=this);for(var i=0,a=0;a<n.length;a++)e=(0|r.words[a])+(0|n.words[a])+i,this.words[a]=67108863&e,i=e>>>26;for(;0!==i&&a<r.length;a++)e=(0|r.words[a])+i,this.words[a]=67108863&e,i=e>>>26;if(this.length=r.length,0!==i)this.words[this.length]=i,this.length++;else if(r!==this)for(;a<r.length;a++)this.words[a]=r.words[a];return this},a.prototype.add=function(t){var e;return 0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var a=0,o=0;o<n.length;o++)a=(e=(0|r.words[o])-(0|n.words[o])+a)>>26,this.words[o]=67108863&e;for(;0!==a&&o<r.length;o++)a=(e=(0|r.words[o])+a)>>26,this.words[o]=67108863&e;if(0===a&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},a.prototype.sub=function(t){return this.clone().isub(t)};var d=function(t,e,r){var n,i,a,o=t.words,s=e.words,l=r.words,c=0,u=0|o[0],f=8191&u,h=u>>>13,p=0|o[1],d=8191&p,m=p>>>13,g=0|o[2],v=8191&g,y=g>>>13,x=0|o[3],b=8191&x,_=x>>>13,w=0|o[4],T=8191&w,k=w>>>13,A=0|o[5],M=8191&A,S=A>>>13,E=0|o[6],L=8191&E,C=E>>>13,P=0|o[7],I=8191&P,O=P>>>13,z=0|o[8],D=8191&z,R=z>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],U=8191&j,V=j>>>13,H=0|s[1],q=8191&H,G=H>>>13,Y=0|s[2],W=8191&Y,X=Y>>>13,Z=0|s[3],J=8191&Z,K=Z>>>13,Q=0|s[4],$=8191&Q,tt=Q>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,it=0|s[6],at=8191&it,ot=it>>>13,st=0|s[7],lt=8191&st,ct=st>>>13,ut=0|s[8],ft=8191&ut,ht=ut>>>13,pt=0|s[9],dt=8191&pt,mt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var gt=(c+(n=Math.imul(f,U))|0)+((8191&(i=(i=Math.imul(f,V))+Math.imul(h,U)|0))<<13)|0;c=((a=Math.imul(h,V))+(i>>>13)|0)+(gt>>>26)|0,gt&=67108863,n=Math.imul(d,U),i=(i=Math.imul(d,V))+Math.imul(m,U)|0,a=Math.imul(m,V);var vt=(c+(n=n+Math.imul(f,q)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,q)|0))<<13)|0;c=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(vt>>>26)|0,vt&=67108863,n=Math.imul(v,U),i=(i=Math.imul(v,V))+Math.imul(y,U)|0,a=Math.imul(y,V),n=n+Math.imul(d,q)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(m,q)|0,a=a+Math.imul(m,G)|0;var yt=(c+(n=n+Math.imul(f,W)|0)|0)+((8191&(i=(i=i+Math.imul(f,X)|0)+Math.imul(h,W)|0))<<13)|0;c=((a=a+Math.imul(h,X)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(v,q)|0,i=(i=i+Math.imul(v,G)|0)+Math.imul(y,q)|0,a=a+Math.imul(y,G)|0,n=n+Math.imul(d,W)|0,i=(i=i+Math.imul(d,X)|0)+Math.imul(m,W)|0,a=a+Math.imul(m,X)|0;var xt=(c+(n=n+Math.imul(f,J)|0)|0)+((8191&(i=(i=i+Math.imul(f,K)|0)+Math.imul(h,J)|0))<<13)|0;c=((a=a+Math.imul(h,K)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(b,q)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,q)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(v,W)|0,i=(i=i+Math.imul(v,X)|0)+Math.imul(y,W)|0,a=a+Math.imul(y,X)|0,n=n+Math.imul(d,J)|0,i=(i=i+Math.imul(d,K)|0)+Math.imul(m,J)|0,a=a+Math.imul(m,K)|0;var bt=(c+(n=n+Math.imul(f,$)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,$)|0))<<13)|0;c=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,q)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,q)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,W)|0,i=(i=i+Math.imul(b,X)|0)+Math.imul(_,W)|0,a=a+Math.imul(_,X)|0,n=n+Math.imul(v,J)|0,i=(i=i+Math.imul(v,K)|0)+Math.imul(y,J)|0,a=a+Math.imul(y,K)|0,n=n+Math.imul(d,$)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(m,$)|0,a=a+Math.imul(m,tt)|0;var _t=(c+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;c=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=(i=Math.imul(L,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(M,q)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,q)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,W)|0,i=(i=i+Math.imul(T,X)|0)+Math.imul(k,W)|0,a=a+Math.imul(k,X)|0,n=n+Math.imul(b,J)|0,i=(i=i+Math.imul(b,K)|0)+Math.imul(_,J)|0,a=a+Math.imul(_,K)|0,n=n+Math.imul(v,$)|0,i=(i=i+Math.imul(v,tt)|0)+Math.imul(y,$)|0,a=a+Math.imul(y,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0;var wt=(c+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;c=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(I,U),i=(i=Math.imul(I,V))+Math.imul(O,U)|0,a=Math.imul(O,V),n=n+Math.imul(L,q)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,q)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,W)|0,i=(i=i+Math.imul(M,X)|0)+Math.imul(S,W)|0,a=a+Math.imul(S,X)|0,n=n+Math.imul(T,J)|0,i=(i=i+Math.imul(T,K)|0)+Math.imul(k,J)|0,a=a+Math.imul(k,K)|0,n=n+Math.imul(b,$)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,$)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(v,rt)|0,i=(i=i+Math.imul(v,nt)|0)+Math.imul(y,rt)|0,a=a+Math.imul(y,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0;var Tt=(c+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ct)|0)+Math.imul(h,lt)|0))<<13)|0;c=((a=a+Math.imul(h,ct)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(D,U),i=(i=Math.imul(D,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(I,q)|0,i=(i=i+Math.imul(I,G)|0)+Math.imul(O,q)|0,a=a+Math.imul(O,G)|0,n=n+Math.imul(L,W)|0,i=(i=i+Math.imul(L,X)|0)+Math.imul(C,W)|0,a=a+Math.imul(C,X)|0,n=n+Math.imul(M,J)|0,i=(i=i+Math.imul(M,K)|0)+Math.imul(S,J)|0,a=a+Math.imul(S,K)|0,n=n+Math.imul(T,$)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,$)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(v,at)|0,i=(i=i+Math.imul(v,ot)|0)+Math.imul(y,at)|0,a=a+Math.imul(y,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ct)|0)+Math.imul(m,lt)|0,a=a+Math.imul(m,ct)|0;var kt=(c+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;c=((a=a+Math.imul(h,ht)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(D,q)|0,i=(i=i+Math.imul(D,G)|0)+Math.imul(R,q)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(I,W)|0,i=(i=i+Math.imul(I,X)|0)+Math.imul(O,W)|0,a=a+Math.imul(O,X)|0,n=n+Math.imul(L,J)|0,i=(i=i+Math.imul(L,K)|0)+Math.imul(C,J)|0,a=a+Math.imul(C,K)|0,n=n+Math.imul(M,$)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,$)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(v,lt)|0,i=(i=i+Math.imul(v,ct)|0)+Math.imul(y,lt)|0,a=a+Math.imul(y,ct)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(m,ft)|0,a=a+Math.imul(m,ht)|0;var At=(c+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,mt)|0)+Math.imul(h,dt)|0))<<13)|0;c=((a=a+Math.imul(h,mt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,q),i=(i=Math.imul(B,G))+Math.imul(N,q)|0,a=Math.imul(N,G),n=n+Math.imul(D,W)|0,i=(i=i+Math.imul(D,X)|0)+Math.imul(R,W)|0,a=a+Math.imul(R,X)|0,n=n+Math.imul(I,J)|0,i=(i=i+Math.imul(I,K)|0)+Math.imul(O,J)|0,a=a+Math.imul(O,K)|0,n=n+Math.imul(L,$)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,$)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ct)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ct)|0,n=n+Math.imul(v,ft)|0,i=(i=i+Math.imul(v,ht)|0)+Math.imul(y,ft)|0,a=a+Math.imul(y,ht)|0;var Mt=(c+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,mt)|0)+Math.imul(m,dt)|0))<<13)|0;c=((a=a+Math.imul(m,mt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,W),i=(i=Math.imul(B,X))+Math.imul(N,W)|0,a=Math.imul(N,X),n=n+Math.imul(D,J)|0,i=(i=i+Math.imul(D,K)|0)+Math.imul(R,J)|0,a=a+Math.imul(R,K)|0,n=n+Math.imul(I,$)|0,i=(i=i+Math.imul(I,tt)|0)+Math.imul(O,$)|0,a=a+Math.imul(O,tt)|0,n=n+Math.imul(L,rt)|0,i=(i=i+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ct)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ct)|0,n=n+Math.imul(b,ft)|0,i=(i=i+Math.imul(b,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var St=(c+(n=n+Math.imul(v,dt)|0)|0)+((8191&(i=(i=i+Math.imul(v,mt)|0)+Math.imul(y,dt)|0))<<13)|0;c=((a=a+Math.imul(y,mt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,J),i=(i=Math.imul(B,K))+Math.imul(N,J)|0,a=Math.imul(N,K),n=n+Math.imul(D,$)|0,i=(i=i+Math.imul(D,tt)|0)+Math.imul(R,$)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(I,rt)|0,i=(i=i+Math.imul(I,nt)|0)+Math.imul(O,rt)|0,a=a+Math.imul(O,nt)|0,n=n+Math.imul(L,at)|0,i=(i=i+Math.imul(L,ot)|0)+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ct)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ct)|0,n=n+Math.imul(T,ft)|0,i=(i=i+Math.imul(T,ht)|0)+Math.imul(k,ft)|0,a=a+Math.imul(k,ht)|0;var Et=(c+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,mt)|0)+Math.imul(_,dt)|0))<<13)|0;c=((a=a+Math.imul(_,mt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,$),i=(i=Math.imul(B,tt))+Math.imul(N,$)|0,a=Math.imul(N,tt),n=n+Math.imul(D,rt)|0,i=(i=i+Math.imul(D,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(I,at)|0,i=(i=i+Math.imul(I,ot)|0)+Math.imul(O,at)|0,a=a+Math.imul(O,ot)|0,n=n+Math.imul(L,lt)|0,i=(i=i+Math.imul(L,ct)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ct)|0,n=n+Math.imul(M,ft)|0,i=(i=i+Math.imul(M,ht)|0)+Math.imul(S,ft)|0,a=a+Math.imul(S,ht)|0;var Lt=(c+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,mt)|0)+Math.imul(k,dt)|0))<<13)|0;c=((a=a+Math.imul(k,mt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(D,at)|0,i=(i=i+Math.imul(D,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(I,lt)|0,i=(i=i+Math.imul(I,ct)|0)+Math.imul(O,lt)|0,a=a+Math.imul(O,ct)|0,n=n+Math.imul(L,ft)|0,i=(i=i+Math.imul(L,ht)|0)+Math.imul(C,ft)|0,a=a+Math.imul(C,ht)|0;var Ct=(c+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,mt)|0)+Math.imul(S,dt)|0))<<13)|0;c=((a=a+Math.imul(S,mt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(D,lt)|0,i=(i=i+Math.imul(D,ct)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ct)|0,n=n+Math.imul(I,ft)|0,i=(i=i+Math.imul(I,ht)|0)+Math.imul(O,ft)|0,a=a+Math.imul(O,ht)|0;var Pt=(c+(n=n+Math.imul(L,dt)|0)|0)+((8191&(i=(i=i+Math.imul(L,mt)|0)+Math.imul(C,dt)|0))<<13)|0;c=((a=a+Math.imul(C,mt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ct))+Math.imul(N,lt)|0,a=Math.imul(N,ct),n=n+Math.imul(D,ft)|0,i=(i=i+Math.imul(D,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var It=(c+(n=n+Math.imul(I,dt)|0)|0)+((8191&(i=(i=i+Math.imul(I,mt)|0)+Math.imul(O,dt)|0))<<13)|0;c=((a=a+Math.imul(O,mt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var Ot=(c+(n=n+Math.imul(D,dt)|0)|0)+((8191&(i=(i=i+Math.imul(D,mt)|0)+Math.imul(R,dt)|0))<<13)|0;c=((a=a+Math.imul(R,mt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863;var zt=(c+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,mt))+Math.imul(N,dt)|0))<<13)|0;return c=((a=Math.imul(N,mt))+(i>>>13)|0)+(zt>>>26)|0,zt&=67108863,l[0]=gt,l[1]=vt,l[2]=yt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Pt,l[16]=It,l[17]=Ot,l[18]=zt,0!==c&&(l[19]=c,r.length++),r};function m(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r=this.length+t.length;return 10===this.length&&10===t.length?d(this,t,e):r<63?p(this,t,e):r<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a<r.length-1;a++){var o=i;i=0;for(var s=67108863&n,l=Math.min(a,e.length-1),c=Math.max(0,a-t.length+1);c<=l;c++){var u=a-c,f=(0|t.words[u])*(0|e.words[c]),h=67108863&f;s=67108863&(h=h+s|0),i+=(o=(o=o+(f/67108864|0)|0)+(h>>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):m(this,t,e)},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},g.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i<e;i++)n|=(1&t)<<e-i-1,t>>=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o<a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},g.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o<i;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),c=Math.sin(2*Math.PI/s),u=0;u<i;u+=s)for(var f=l,h=c,p=0;p<o;p++){var d=r[u+p],m=n[u+p],g=r[u+p+o],v=n[u+p+o],y=f*g-h*v;v=f*v+h*g,g=y,r[u+p]=d+g,n[u+p]=m+v,r[u+p+o]=d-g,n[u+p+o]=m-v,p!==s&&(y=l*f-c*h,h=l*h+c*f,f=y)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,i=0;for(r=r/2|0;r;r>>>=1)i++;return 1<<i+1+n},g.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var i=t[n];t[n]=t[r-n-1],t[r-n-1]=i,i=e[n],e[n]=-e[r-n-1],e[r-n-1]=-i}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&i,r=i<67108864?0:i/67108864|0}return t},g.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o<e;o++)a+=0|t[o],r[2*o]=8191&a,a>>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o<i;++o)r[o]=0;n(0===a),n(0==(-8192&a))},g.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},g.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(n),a=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),c=new Array(n),u=new Array(n),f=new Array(n),h=r.words;h.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,c,n),this.transform(o,a,s,l,n,i),this.transform(c,a,u,f,n,i);for(var p=0;p<n;p++){var d=s[p]*u[p]-l[p]*f[p];l[p]=s[p]*f[p]+l[p]*u[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,h,a,n,i),this.conjugate(h,a,n),this.normalize13b(h,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},a.prototype.mul=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},a.prototype.mulf=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),m(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n(\"number\"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var i=(0|this.words[r])*t,a=(67108863&i)+(67108863&e);e>>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,i=r%26;e[r]=(t.words[n]&1<<i)>>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var i=r.sqr();n<e.length;n++,i=i.sqr())0!==e[n]&&(r=r.mul(i));return r},a.prototype.iushln=function(t){n(\"number\"==typeof t&&t>=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&a,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e<i;e++)this.words[e]=0;this.length+=i}return this.strip()},a.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},a.prototype.iushrn=function(t,e,r){var i;n(\"number\"==typeof t&&t>=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<<a,l=r;if(i-=o,i=Math.max(0,i),l){for(var c=0;c<o;c++)l.words[c]=this.words[c];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,c=0;c<this.length;c++)this.words[c]=this.words[c+o];else this.words[0]=0,this.length=1;var u=0;for(c=this.length-1;c>=0&&(0!==u||c>=i);c--){var f=0|this.words[c];this.words[c]=u<<26-a|f>>>a,u=f&s}return l&&0!==u&&(l.words[l.length++]=u),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<<e;return!(this.length<=r)&&!!(this.words[r]&i)},a.prototype.imaskn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,\"imaskn works only with positive numbers\"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<<e;this.words[this.length-1]&=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n(\"number\"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},a.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n(\"number\"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},a.prototype.addn=function(t){return this.clone().iaddn(t)},a.prototype.subn=function(t){return this.clone().isubn(t)},a.prototype.iabs=function(){return this.negative=0,this},a.prototype.abs=function(){return this.clone().iabs()},a.prototype._ishlnsubmul=function(t,e,r){var i,a,o=t.length+r;this._expand(o);var s=0;for(i=0;i<t.length;i++){a=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;s=((a-=67108863&l)>>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i<this.length-r;i++)s=(a=(0|this.words[i+r])+s)>>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i<this.length;i++)s=(a=-(0|this.words[i])+s)>>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!==(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if(\"mod\"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var c=0;c<s.length;c++)s.words[c]=0}var u=n.clone()._ishlnsubmul(i,1,l);0===u.negative&&(n=u,s&&(s.words[l]=1));for(var f=l-1;f>=0;f--){var h=67108864*(0|n.words[i.length+f])+(0|n.words[i.length+f-1]);for(h=Math.min(h/o|0,67108863),n._ishlnsubmul(i,h,f);0!==n.negative;)h--,n.negative=0,n._ishlnsubmul(i,1,f),n.isZero()||(n.negative^=1);s&&(s.words[f]=h)}return s&&s.strip(),n.strip(),\"div\"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),\"mod\"!==e&&(i=s.div.neg()),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),\"mod\"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?\"div\"===e?{div:this.divn(t.words[0]),mod:null}:\"mod\"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,\"div\",!1).div},a.prototype.mod=function(t){return this.divmod(t,\"mod\",!1).mod},a.prototype.umod=function(t){return this.divmod(t,\"mod\",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),c=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++c;for(var u=r.clone(),f=e.clone();!e.isZero();){for(var h=0,p=1;0==(e.words[0]&p)&&h<26;++h,p<<=1);if(h>0)for(e.iushrn(h);h-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(u),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,m=1;0==(r.words[0]&m)&&d<26;++d,m<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(u),l.isub(f)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(c)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var c=0,u=1;0==(e.words[0]&u)&&c<26;++c,u<<=1);if(c>0)for(e.iushrn(c);c-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var f=0,h=1;0==(r.words[0]&h)&&f<26;++f,h<<=1);if(f>0)for(r.iushrn(f);f-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n(\"number\"==typeof t);var e=t%26,r=(t-e)/26,i=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&&o<this.length;o++){var s=0|this.words[o];a=(s+=a)>>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,\"Number is too big\");var i=0|this.words[0];e=i===t?0:i<t?-1:1}return 0!==this.negative?0|-e:e},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},a.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n<i?e=-1:n>i&&(e=1);break}}return 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numbers\"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,\"redISqr works only with red numbers\"),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,\"redSqrt works only with red numbers\"),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,\"redInvm works only with red numbers\"),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,\"redNeg works only with red numbers\"),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&&!t.red,\"redPow(normalNum)\"),this.red._verify1(this),this.red.pow(this,t)};var v={k256:null,p224:null,p192:null,p25519:null};function y(t,e){this.name=t,this.p=new a(e,16),this.n=this.p.bitLength(),this.k=new a(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function x(){y.call(this,\"k256\",\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f\")}function b(){y.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}function _(){y.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}function w(){y.call(this,\"25519\",\"7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed\")}function T(t){if(\"string\"==typeof t){var e=a._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),\"modulus must be greater than 1\"),this.m=t,this.prime=null}function k(t){T.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}y.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},y.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),e=(r=(r=this.imulK(r)).iadd(this.tmp)).bitLength()}while(e>this.n);var n=e<this.n?-1:r.ucmp(this.p);return 0===n?(r.words[0]=0,r.length=1):n>0?r.isub(this.p):void 0!==r.strip?r.strip():r._strip(),r},y.prototype.split=function(t,e){t.iushrn(this.n,0,e)},y.prototype.imulK=function(t){return t.imul(this.k)},i(x,y),x.prototype.split=function(t,e){for(var r=Math.min(t.length,9),n=0;n<r;n++)e.words[n]=t.words[n];if(e.length=r,t.length<=9)return t.words[0]=0,void(t.length=1);var i=t.words[9];for(e.words[e.length++]=4194303&i,n=10;n<t.length;n++){var a=0|t.words[n];t.words[n-10]=(4194303&a)<<4|i>>>22,i=a}i>>>=22,t.words[n-10]=i,0===i&&t.length>10?t.length-=10:t.length-=9},x.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r<t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&e,e=64*n+(e/67108864|0)}return 0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},i(b,y),i(_,y),i(w,y),w.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,i=67108863&n;n>>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(v[t])return v[t];var e;if(\"k256\"===t)e=new x;else if(\"p224\"===t)e=new b;else if(\"p192\"===t)e=new _;else{if(\"p25519\"!==t)throw new Error(\"Unknown prime \"+t);e=new w}return v[t]=e,e},T.prototype._verify1=function(t){n(0===t.negative,\"red works only with positives\"),n(t.red,\"red works only with red numbers\")},T.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),\"red works only with positives\"),n(t.red&&t.red===e.red,\"red works only with red numbers\")},T.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},T.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},T.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},T.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},T.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},T.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},T.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},T.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},T.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},T.prototype.isqr=function(t){return this.imul(t,t.clone())},T.prototype.sqr=function(t){return this.mul(t,t)},T.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return this.pow(t,r)}for(var i=this.m.subn(1),o=0;!i.isZero()&&0===i.andln(1);)o++,i.iushrn(1);n(!i.isZero());var s=new a(1).toRed(this),l=s.redNeg(),c=this.m.subn(1).iushrn(1),u=this.m.bitLength();for(u=new a(2*u*u).toRed(this);0!==this.pow(u,c).cmp(l);)u.redIAdd(l);for(var f=this.pow(u,i),h=this.pow(t,i.addn(1).iushrn(1)),p=this.pow(t,i),d=o;0!==p.cmp(s);){for(var m=p,g=0;0!==m.cmp(s);g++)m=m.redSqr();n(g<d);var v=this.pow(f,new a(1).iushln(d-g-1));h=h.redMul(v),f=v.redSqr(),p=p.redMul(f),d=g}return h},T.prototype.invm=function(t){var e=t._invmp(this.m);return 0!==e.negative?(e.negative=0,this.imod(e).redNeg()):this.imod(e)},T.prototype.pow=function(t,e){if(e.isZero())return new a(1).toRed(this);if(0===e.cmpn(1))return t.clone();var r=new Array(16);r[0]=new a(1).toRed(this),r[1]=t;for(var n=2;n<r.length;n++)r[n]=this.mul(r[n-1],t);var i=r[0],o=0,s=0,l=e.bitLength()%26;for(0===l&&(l=26),n=e.length-1;n>=0;n--){for(var c=e.words[n],u=l-1;u>=0;u--){var f=c>>u&1;i!==r[0]&&(i=this.sqr(i)),0!==f||0!==o?(o<<=1,o|=f,(4===++s||0===n&&0===u)&&(i=this.mul(i,r[o]),s=0,o=0)):s=0}l=26}return i},T.prototype.convertTo=function(t){var e=t.umod(this.m);return e===t?e.clone():e},T.prototype.convertFrom=function(t){var e=t.clone();return e.red=null,e},a.mont=function(t){return new k(t)},i(k,T),k.prototype.convertTo=function(t){return this.imod(t.ushln(this.shift))},k.prototype.convertFrom=function(t){var e=this.imod(t.mul(this.rinv));return e.red=null,e},k.prototype.imul=function(t,e){if(t.isZero()||e.isZero())return t.words[0]=0,t.length=1,t;var r=t.imul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),a=i;return i.cmp(this.m)>=0?a=i.isub(this.m):i.cmpn(0)<0&&(a=i.iadd(this.m)),a._forceRed(this)},k.prototype.mul=function(t,e){if(t.isZero()||e.isZero())return new a(0)._forceRed(this);var r=t.mul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),o=i;return i.cmp(this.m)>=0?o=i.isub(this.m):i.cmpn(0)<0&&(o=i.iadd(this.m)),o._forceRed(this)},k.prototype.invm=function(t){return this.imod(t._invmp(this.m).mul(this.r2))._forceRed(this)}}(void 0===e||e,this)},{buffer:2}],34:[function(t,e,r){\"use strict\";e.exports=function(t){var e,r,n,i=t.length,a=0;for(e=0;e<i;++e)a+=t[e].length;var o=new Array(a),s=0;for(e=0;e<i;++e){var l=t[e],c=l.length;for(r=0;r<c;++r){var u=o[s++]=new Array(c-1),f=0;for(n=0;n<c;++n)n!==r&&(u[f++]=l[n]);if(1&r){var h=u[1];u[1]=u[0],u[0]=h}}}return o}},{}],35:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){switch(arguments.length){case 1:return f(t);case 2:return\"function\"==typeof e?c(t,t,e,!0):h(t,e);case 3:return c(t,e,r,!1);default:throw new Error(\"box-intersect: Invalid arguments\")}};var n,i=t(\"typedarray-pool\"),a=t(\"./lib/sweep\"),o=t(\"./lib/intersect\");function s(t,e){for(var r=0;r<t;++r)if(!(e[r]<=e[r+t]))return!0;return!1}function l(t,e,r,n){for(var i=0,a=0,o=0,l=t.length;o<l;++o){var c=t[o];if(!s(e,c)){for(var u=0;u<2*e;++u)r[i++]=c[u];n[a++]=o}}return a}function c(t,e,r,n){var s=t.length,c=e.length;if(!(s<=0||c<=0)){var u=t[0].length>>>1;if(!(u<=0)){var f,h=i.mallocDouble(2*u*s),p=i.mallocInt32(s);if((s=l(t,u,h,p))>0){if(1===u&&n)a.init(s),f=a.sweepComplete(u,r,0,s,h,p,0,s,h,p);else{var d=i.mallocDouble(2*u*c),m=i.mallocInt32(c);(c=l(e,u,d,m))>0&&(a.init(s+c),f=1===u?a.sweepBipartite(u,r,0,s,h,p,0,c,d,m):o(u,r,n,s,h,p,c,d,m),i.free(d),i.free(m))}i.free(h),i.free(p)}return f}}}function u(t,e){n.push([t,e])}function f(t){return n=[],c(t,t,u,!0),n}function h(t,e){return n=[],c(t,e,u,!1),n}},{\"./lib/intersect\":37,\"./lib/sweep\":41,\"typedarray-pool\":308}],36:[function(t,e,r){\"use strict\";function n(t){return t?function(t,e,r,n,i,a,o,s,l,c,u){return i-n>l-s?function(t,e,r,n,i,a,o,s,l,c,u){for(var f=2*t,h=n,p=f*n;h<i;++h,p+=f){var d=a[e+p],m=a[e+p+t],g=o[h];t:for(var v=s,y=f*s;v<l;++v,y+=f){var x=c[e+y],b=c[e+y+t],_=u[v];if(!(b<d||m<x)){for(var w=e+1;w<t;++w){var T=a[w+p],k=a[w+t+p],A=c[w+y],M=c[w+t+y];if(k<A||M<T)continue t}var S=r(g,_);if(void 0!==S)return S}}}}(t,e,r,n,i,a,o,s,l,c,u):function(t,e,r,n,i,a,o,s,l,c,u){for(var f=2*t,h=s,p=f*s;h<l;++h,p+=f){var d=c[e+p],m=c[e+p+t],g=u[h];t:for(var v=n,y=f*n;v<i;++v,y+=f){var x=a[e+y],b=a[e+y+t],_=o[v];if(!(m<x||b<d)){for(var w=e+1;w<t;++w){var T=a[w+y],k=a[w+t+y],A=c[w+p],M=c[w+t+p];if(k<A||M<T)continue t}var S=r(_,g);if(void 0!==S)return S}}}}(t,e,r,n,i,a,o,s,l,c,u)}:function(t,e,r,n,i,a,o,s,l,c,u,f){return a-i>c-l?n?function(t,e,r,n,i,a,o,s,l,c,u){for(var f=2*t,h=n,p=f*n;h<i;++h,p+=f){var d=a[e+p],m=a[e+p+t],g=o[h];t:for(var v=s,y=f*s;v<l;++v,y+=f){var x=c[e+y],b=u[v];if(!(x<=d||m<x)){for(var _=e+1;_<t;++_){var w=a[_+p],T=a[_+t+p],k=c[_+y],A=c[_+t+y];if(T<k||A<w)continue t}var M=r(b,g);if(void 0!==M)return 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e=i.nextPow2(t);o.length<e&&(n.free(o),o=n.mallocInt32(e));s.length<e&&(n.free(s),s=n.mallocInt32(e));l.length<e&&(n.free(l),l=n.mallocInt32(e));c.length<e&&(n.free(c),c=n.mallocInt32(e));u.length<e&&(n.free(u),u=n.mallocInt32(e));f.length<e&&(n.free(f),f=n.mallocInt32(e));var r=8*e;h.length<r&&(n.free(h),h=n.mallocDouble(r))},sweepBipartite:function(t,e,r,n,i,u,f,m,g,v){for(var y=0,x=2*t,b=t-1,_=x-1,w=r;w<n;++w){var T=u[w],k=x*w;h[y++]=i[k+b],h[y++]=-(T+1),h[y++]=i[k+_],h[y++]=T}for(w=f;w<m;++w){T=v[w]+(1<<28);var A=x*w;h[y++]=g[A+b],h[y++]=-T,h[y++]=g[A+_],h[y++]=T}var M=y>>>1;a(h,M);var S=0,E=0;for(w=0;w<M;++w){var L=0|h[2*w+1];if(L>=1<<28)p(l,c,E--,L=L-(1<<28)|0);else if(L>=0)p(o,s,S--,L);else if(L<=-(1<<28)){L=-L-(1<<28)|0;for(var C=0;C<S;++C){if(void 0!==(P=e(o[C],L)))return P}d(l,c,E++,L)}else{L=-L-1|0;for(C=0;C<E;++C){var P;if(void 0!==(P=e(L,l[C])))return P}d(o,s,S++,L)}}},sweepComplete:function(t,e,r,n,i,m,g,v,y,x){for(var b=0,_=2*t,w=t-1,T=_-1,k=r;k<n;++k){var 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e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<=0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new h(this,n)},l.gt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new h(this,n)},l.lt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new h(this,n)},l.le=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>=0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new h(this,n)},l.find=function(t){for(var e=this._compare,r=this.root,n=[];r;){var i=e(t,r.key);if(n.push(r),0===i)return new h(this,n);r=i<=0?r.left:r.right}return new h(this,[])},l.remove=function(t){var e=this.find(t);return e?e.remove():this},l.get=function(t){for(var e=this._compare,r=this.root;r;){var n=e(t,r.key);if(0===n)return r.value;r=n<=0?r.left:r.right}};var p=h.prototype;function d(t,e){t.key=e.key,t.value=e.value,t.left=e.left,t.right=e.right,t._color=e._color,t._count=e._count}function m(t,e){return t<e?-1:t>e?1:0}Object.defineProperty(p,\"valid\",{get:function(){return this._stack.length>0}}),Object.defineProperty(p,\"node\",{get:function(){return this._stack.length>0?this._stack[this._stack.length-1]:null},enumerable:!0}),p.clone=function(){return new h(this.tree,this._stack.slice())},p.remove=function(){var t=this._stack;if(0===t.length)return this.tree;var e=new Array(t.length),r=t[t.length-1];e[e.length-1]=new n(r._color,r.key,r.value,r.left,r.right,r._count);for(var l=t.length-2;l>=0;--l){(r=t[l]).left===t[l+1]?e[l]=new n(r._color,r.key,r.value,e[l+1],r.right,r._count):e[l]=new n(r._color,r.key,r.value,r.left,e[l+1],r._count)}if((r=e[e.length-1]).left&&r.right){var c=e.length;for(r=r.left;r.right;)e.push(r),r=r.right;var u=e[c-1];e.push(new n(r._color,u.key,u.value,r.left,r.right,r._count)),e[c-1].key=r.key,e[c-1].value=r.value;for(l=e.length-2;l>=c;--l)r=e[l],e[l]=new n(r._color,r.key,r.value,r.left,e[l+1],r._count);e[c-1].left=e[c]}if(0===(r=e[e.length-1])._color){var f=e[e.length-2];f.left===r?f.left=null:f.right===r&&(f.right=null),e.pop();for(l=0;l<e.length;++l)e[l]._count--;return new s(this.tree._compare,e[0])}if(r.left||r.right){r.left?d(r,r.left):r.right&&d(r,r.right),r._color=1;for(l=0;l<e.length-1;++l)e[l]._count--;return new s(this.tree._compare,e[0])}if(1===e.length)return new s(this.tree._compare,null);for(l=0;l<e.length;++l)e[l]._count--;var h=e[e.length-2];return function(t){for(var e,r,n,s,l=t.length-1;l>=0;--l){if(e=t[l],0===l)return void(e._color=1);if((r=t[l-1]).left===e){if((n=r.right).right&&0===n.right._color){if(s=(n=r.right=i(n)).right=i(n.right),r.right=n.left,n.left=r,n.right=s,n._color=r._color,e._color=1,r._color=1,s._color=1,o(r),o(n),l>1)(c=t[l-2]).left===r?c.left=n:c.right=n;return void(t[l-1]=n)}if(n.left&&0===n.left._color){if(s=(n=r.right=i(n)).left=i(n.left),r.right=s.left,n.left=s.right,s.left=r,s.right=n,s._color=r._color,r._color=1,n._color=1,e._color=1,o(r),o(n),o(s),l>1)(c=t[l-2]).left===r?c.left=s:c.right=s;return void(t[l-1]=s)}if(1===n._color){if(0===r._color)return r._color=1,void(r.right=a(0,n));r.right=a(0,n);continue}n=i(n),r.right=n.left,n.left=r,n._color=r._color,r._color=0,o(r),o(n),l>1&&((c=t[l-2]).left===r?c.left=n:c.right=n),t[l-1]=n,t[l]=r,l+1<t.length?t[l+1]=e:t.push(e),l+=2}else{if((n=r.left).left&&0===n.left._color){if(s=(n=r.left=i(n)).left=i(n.left),r.left=n.right,n.right=r,n.left=s,n._color=r._color,e._color=1,r._color=1,s._color=1,o(r),o(n),l>1)(c=t[l-2]).right===r?c.right=n:c.left=n;return void(t[l-1]=n)}if(n.right&&0===n.right._color){if(s=(n=r.left=i(n)).right=i(n.right),r.left=s.right,n.right=s.left,s.right=r,s.left=n,s._color=r._color,r._color=1,n._color=1,e._color=1,o(r),o(n),o(s),l>1)(c=t[l-2]).right===r?c.right=s:c.left=s;return void(t[l-1]=s)}if(1===n._color){if(0===r._color)return r._color=1,void(r.left=a(0,n));r.left=a(0,n);continue}var c;n=i(n),r.left=n.right,n.right=r,n._color=r._color,r._color=0,o(r),o(n),l>1&&((c=t[l-2]).right===r?c.right=n:c.left=n),t[l-1]=n,t[l]=r,l+1<t.length?t[l+1]=e:t.push(e),l+=2}}}(e),h.left===r?h.left=null:h.right=null,new s(this.tree._compare,e[0])},Object.defineProperty(p,\"key\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(p,\"value\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(p,\"index\",{get:function(){var t=0,e=this._stack;if(0===e.length){var r=this.tree.root;return r?r._count:0}e[e.length-1].left&&(t=e[e.length-1].left._count);for(var n=e.length-2;n>=0;--n)e[n+1]===e[n].right&&(++t,e[n].left&&(t+=e[n].left._count));return t},enumerable:!0}),p.next=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.right)for(e=e.right;e;)t.push(e),e=e.left;else for(t.pop();t.length>0&&t[t.length-1].right===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(p,\"hasNext\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].right)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].left===t[e])return!0;return!1}}),p.update=function(t){var e=this._stack;if(0===e.length)throw new Error(\"Can't update empty node!\");var r=new Array(e.length),i=e[e.length-1];r[r.length-1]=new n(i._color,i.key,t,i.left,i.right,i._count);for(var a=e.length-2;a>=0;--a)(i=e[a]).left===e[a+1]?r[a]=new n(i._color,i.key,i.value,r[a+1],i.right,i._count):r[a]=new n(i._color,i.key,i.value,i.left,r[a+1],i._count);return new s(this.tree._compare,r[0])},p.prev=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.left)for(e=e.left;e;)t.push(e),e=e.right;else for(t.pop();t.length>0&&t[t.length-1].left===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(p,\"hasPrev\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].left)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].right===t[e])return!0;return!1}})},{}],70:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=new u(t);return r.update(e),r};var n=t(\"./lib/text.js\"),i=t(\"./lib/lines.js\"),a=t(\"./lib/background.js\"),o=t(\"./lib/cube.js\"),s=t(\"./lib/ticks.js\"),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]);function c(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function u(t){this.gl=t,this.pixelRatio=1,this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.autoTicks=!0,this.tickSpacing=[1,1,1],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickAlign=[\"auto\",\"auto\",\"auto\"],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[10,10,10],this.lastCubeProps={cubeEdges:[0,0,0],axis:[0,0,0]},this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=\"sans-serif\",this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelAlign=[\"auto\",\"auto\",\"auto\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[10,10,10],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[0,0,0],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!1,!1,!1],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._firstInit=!0,this._text=null,this._lines=null,this._background=a(t)}var f=u.prototype;function h(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}f.update=function(t){function e(e,r,n){if(n in t){var i,a=t[n],o=this[n];(e?Array.isArray(a)&&Array.isArray(a[0]):Array.isArray(a))?this[n]=i=[r(a[0]),r(a[1]),r(a[2])]:this[n]=i=[r(a),r(a),r(a)];for(var s=0;s<3;++s)if(i[s]!==o[s])return!0}return!1}t=t||{};var r,a=e.bind(this,!1,Number),o=e.bind(this,!1,Boolean),l=e.bind(this,!1,String),c=e.bind(this,!0,(function(t){if(Array.isArray(t)){if(3===t.length)return[+t[0],+t[1],+t[2],1];if(4===t.length)return[+t[0],+t[1],+t[2],+t[3]]}return[0,0,0,1]})),u=!1,f=!1;if(\"bounds\"in t)for(var h=t.bounds,p=0;p<2;++p)for(var d=0;d<3;++d)h[p][d]!==this.bounds[p][d]&&(f=!0),this.bounds[p][d]=h[p][d];if(\"ticks\"in t){r=t.ticks,u=!0,this.autoTicks=!1;for(p=0;p<3;++p)this.tickSpacing[p]=0}else a(\"tickSpacing\")&&(this.autoTicks=!0,f=!0);if(this._firstInit&&(\"ticks\"in t||\"tickSpacing\"in t||(this.autoTicks=!0),f=!0,u=!0,this._firstInit=!1),f&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),u=!0),u){for(p=0;p<3;++p)r[p].sort((function(t,e){return t.x-e.x}));s.equal(r,this.ticks)?u=!1:this.ticks=r}o(\"tickEnable\"),l(\"tickFont\")&&(u=!0),a(\"tickSize\"),a(\"tickAngle\"),a(\"tickPad\"),c(\"tickColor\");var m=l(\"labels\");l(\"labelFont\")&&(m=!0),o(\"labelEnable\"),a(\"labelSize\"),a(\"labelPad\"),c(\"labelColor\"),o(\"lineEnable\"),o(\"lineMirror\"),a(\"lineWidth\"),c(\"lineColor\"),o(\"lineTickEnable\"),o(\"lineTickMirror\"),a(\"lineTickLength\"),a(\"lineTickWidth\"),c(\"lineTickColor\"),o(\"gridEnable\"),a(\"gridWidth\"),c(\"gridColor\"),o(\"zeroEnable\"),c(\"zeroLineColor\"),a(\"zeroLineWidth\"),o(\"backgroundEnable\"),c(\"backgroundColor\"),this._text?this._text&&(m||u)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&u&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var p=[new h,new h,new h];function d(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,c=n[e],u=0;u<3;++u)if(e!==u){var f=a,h=s,p=o,d=l;c&1<<u&&(f=s,h=a,p=l,d=o),f[u]=r[0][u],h[u]=r[1][u],i[u]>0?(p[u]=-1,d[u]=0):(p[u]=0,d[u]=1)}}var m=[0,0,0],g={model:l,view:l,projection:l,_ortho:!1};f.isOpaque=function(){return!0},f.isTransparent=function(){return!1},f.drawTransparent=function(t){};var v=[0,0,0],y=[0,0,0],x=[0,0,0];f.draw=function(t){t=t||g;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,u=o(r,n,i,a,s),f=u.cubeEdges,h=u.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*b+i[7]*_+i[11]*w+i[15]*T)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=f[A],this.lastCubeProps.axis[A]=h[A];var M=p;for(A=0;A<3;++A)d(p[A],A,this.bounds,f,h);e=this.gl;var S,E=m;for(A=0;A<3;++A)this.backgroundEnable[A]?E[A]=h[A]:E[A]=0;this._background.draw(r,n,i,a,E,this.backgroundColor),this._lines.bind(r,n,i,this);for(A=0;A<3;++A){var L=[0,0,0];h[A]>0?L[A]=a[1][A]:L[A]=a[0][A];for(var C=0;C<2;++C){var P=(A+1+C)%3,I=(A+1+(1^C))%3;this.gridEnable[P]&&this._lines.drawGrid(P,I,this.bounds,L,this.gridColor[P],this.gridWidth[P]*this.pixelRatio)}for(C=0;C<2;++C){P=(A+1+C)%3,I=(A+1+(1^C))%3;this.zeroEnable[I]&&Math.min(a[0][I],a[1][I])<=0&&Math.max(a[0][I],a[1][I])>=0&&this._lines.drawZero(P,I,this.bounds,L,this.zeroLineColor[I],this.zeroLineWidth[I]*this.pixelRatio)}}for(A=0;A<3;++A){this.lineEnable[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].primalOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio),this.lineMirror[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].mirrorOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio);var O=c(v,M[A].primalMinor),z=c(y,M[A].mirrorMinor),D=this.lineTickLength;for(C=0;C<3;++C){var R=k/r[5*C];O[C]*=D[C]*R,z[C]*=D[C]*R}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,O,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,z,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio);var F,B;function N(t){(B=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,H=c(x,M[A].primalOffset);for(C=0;C<3;++C)this.lineTickEnable[A]&&(H[C]+=k*U[C]*Math.max(this.lineTickLength[C],0)/r[5*C]);var q=[0,0,0];if(q[A]=1,this.tickEnable[A]){-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]=\"auto\"):this.tickAlign[A]=-1,F=1,\"auto\"===(S=[this.tickAlign[A],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),B=[0,0,0],j(A,U,V);for(C=0;C<3;++C)H[C]+=k*U[C]*this.tickPad[C]/r[5*C];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],H,this.tickColor[A],q,B,S)}if(this.labelEnable[A]){F=0,B=[0,0,0],this.labels[A].length>4&&(N(A),F=1),\"auto\"===(S=[this.labelAlign[A],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]);for(C=0;C<3;++C)H[C]+=k*U[C]*this.labelPad[C]/r[5*C];H[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],H,this.labelColor[A],[0,0,0],B,S)}}this._text.unbind()},f.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},{\"./lib/background.js\":71,\"./lib/cube.js\":72,\"./lib/lines.js\":73,\"./lib/text.js\":75,\"./lib/ticks.js\":76}],71:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var c=(l+1)%3,u=(l+2)%3,f=[0,0,0],h=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=p,h[l]=p;for(var d=-1;d<=1;d+=2){f[c]=d;for(var m=-1;m<=1;m+=2)f[u]=m,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var g=c;c=u,u=g}var v=n(t,new Float32Array(e)),y=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:v,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:v,type:t.FLOAT,size:3,offset:12,stride:24}],y),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,v,x,b)};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"./shaders\").bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders\":74,\"gl-buffer\":78,\"gl-vao\":150}],72:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var y=0,x=0;x<2;++x){u[2]=a[x][2];for(var b=0;b<2;++b){u[1]=a[b][1];for(var _=0;_<2;++_)u[0]=a[_][0],h(l[y],u,s),y+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)c[x][k]=l[x][k]/T;p&&(c[x][2]*=-1),T<0&&(w<0||c[x][2]<c[w][2])&&(w=x)}if(w<0){w=0;for(var A=0;A<3;++A){for(var M=(A+2)%3,S=(A+1)%3,E=-1,L=-1,C=0;C<2;++C){var P=(O=C<<A)+(C<<M)+(1-C<<S),I=O+(1-C<<M)+(C<<S);o(c[O],c[P],c[I],f)<0||(C?E=1:L=1)}if(E<0||L<0)L>E&&(w|=1<<A);else{for(C=0;C<2;++C){P=(O=C<<A)+(C<<M)+(1-C<<S),I=O+(1-C<<M)+(C<<S);var O,z=d([l[O],l[P],l[I],l[O+(1<<M)+(1<<S)]]);C?E=z:L=z}L>E&&(w|=1<<A)}}}var D=7^w,R=-1;for(x=0;x<8;++x)x!==w&&x!==D&&(R<0||c[R][1]>c[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x){if((N=R^1<<x)!==w&&N!==D)F<0&&(F=N),(S=c[N])[0]<c[F][0]&&(F=N)}var B=-1;for(x=0;x<3;++x){var N;if((N=R^1<<x)!==w&&N!==D&&N!==F)B<0&&(B=N),(S=c[N])[0]>c[B][0]&&(B=N)}var j=m;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===D?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=g,H=w;for(A=0;A<3;++A)V[A]=H&1<<A?-1:1;return v};var n=t(\"bit-twiddle\"),i=t(\"gl-mat4/multiply\"),a=t(\"split-polygon\"),o=t(\"robust-orientation\"),s=new Array(16),l=new Array(8),c=new Array(8),u=new Array(3),f=[0,0,0];function h(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var i=0;i<3;++i)t[n]+=e[i]*r[4*i+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],c[t]=[1,1,1]}();var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function d(t){for(var e=0;e<p.length;++e)if((t=a.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],i=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],c=s[0]/s[3]-n,u=s[1]/s[3]-i,f=l[0]/l[3]-n,h=l[1]/l[3]-i;o+=Math.abs(c*h-u*f)}return o}var m=[1,1,1],g=[0,0,0],v={cubeEdges:m,axis:g}},{\"bit-twiddle\":32,\"gl-mat4/multiply\":100,\"robust-orientation\":284,\"split-polygon\":300}],73:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var f=0;f<3;++f){for(var h=o.length/3|0,d=0;d<r[f].length;++d){var m=+r[f][d].x;o.push(m,0,1,m,1,1,m,0,-1,m,0,-1,m,1,1,m,1,-1)}var g=o.length/3|0;s[f]=h,l[f]=g-h;h=o.length/3|0;for(var v=0;v<r[f].length;++v){m=+r[f][v].x;o.push(m,0,1,m,1,1,m,0,-1,m,0,-1,m,1,1,m,1,-1)}g=o.length/3|0;c[f]=h,u[f]=g-h}var y=n(t,new Float32Array(o)),x=i(t,[{buffer:y,type:t.FLOAT,size:3,stride:0,offset:0}]),b=a(t);return b.attributes.position.location=0,new p(t,y,x,b,l,s,u,c)};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"./shaders\").line,o=[0,0,0],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[1,1];function f(t){return t[0]=t[1]=t[2]=0,t}function h(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,i,a,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=i,this.tickOffset=a,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,u[0]=this.gl.drawingBufferWidth,u[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=u,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,i){var a=f(s);this.shader.uniforms.majorAxis=s,a[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=a;var o,u=h(c,r);u[t]+=e[0][t],this.shader.uniforms.offset=u,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=n,(o=f(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=f(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,i){if(this.tickCount[t]){var a=f(o);a[t]=1,this.shader.uniforms.majorAxis=a,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=i;var s=f(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},d.drawGrid=function(t,e,r,n,i,a){if(this.gridCount[t]){var u=f(s);u[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=u;var p=h(c,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=f(o);d[t]=1,this.shader.uniforms.majorAxis=d;var m=f(l);m[t]=1,this.shader.uniforms.screenAxis=m,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,i,a){var o=f(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var u=h(c,n);u[t]+=r[0][t],this.shader.uniforms.offset=u;var p=f(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},{\"./shaders\":74,\"gl-buffer\":78,\"gl-vao\":150}],74:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\\nuniform float lineWidth;\\nuniform vec2 screenShape;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nvoid main() {\\n  vec3 major = position.x * majorAxis;\\n  vec3 minor = position.y * minorAxis;\\n\\n  vec3 vPosition = major + minor + offset;\\n  vec3 pPosition = project(vPosition);\\n  vec3 offset = project(vPosition + screenAxis * position.z);\\n\\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\\n\\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);r.line=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"}])};var s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis, alignDir, alignOpt;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nfloat computeViewAngle(vec3 a, vec3 b) {\\n  vec3 A = project(a);\\n  vec3 B = project(b);\\n\\n  return atan(\\n    (B.y - A.y) * resolution.y,\\n    (B.x - A.x) * resolution.x\\n  );\\n}\\n\\nconst float PI = 3.141592;\\nconst float TWO_PI = 2.0 * PI;\\nconst float HALF_PI = 0.5 * PI;\\nconst float ONE_AND_HALF_PI = 1.5 * PI;\\n\\nint option = int(floor(alignOpt.x + 0.001));\\nfloat hv_ratio =       alignOpt.y;\\nbool enableAlign =    (alignOpt.z != 0.0);\\n\\nfloat mod_angle(float a) {\\n  return mod(a, PI);\\n}\\n\\nfloat positive_angle(float a) {\\n  return mod_angle((a < 0.0) ?\\n    a + TWO_PI :\\n    a\\n  );\\n}\\n\\nfloat look_upwards(float a) {\\n  float b = positive_angle(a);\\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\\n    b - PI :\\n    b;\\n}\\n\\nfloat look_horizontal_or_vertical(float a, float ratio) {\\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\\n  // if ratio is set to 0.5 then it is 50%, 50%.\\n  // when using a higher ratio e.g. 0.75 the result would\\n  // likely be more horizontal than vertical.\\n\\n  float b = positive_angle(a);\\n\\n  return\\n    (b < (      ratio) * HALF_PI) ? 0.0 :\\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\\n                                    0.0;\\n}\\n\\nfloat roundTo(float a, float b) {\\n  return float(b * floor((a + 0.5 * b) / b));\\n}\\n\\nfloat look_round_n_directions(float a, int n) {\\n  float b = positive_angle(a);\\n  float div = TWO_PI / float(n);\\n  float c = roundTo(b, div);\\n  return look_upwards(c);\\n}\\n\\nfloat applyAlignOption(float rawAngle, float delta) {\\n  return\\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\\n                    rawAngle;                // otherwise return back raw input angle\\n}\\n\\nbool isAxisTitle = (axis.x == 0.0) &&\\n                   (axis.y == 0.0) &&\\n                   (axis.z == 0.0);\\n\\nvoid main() {\\n  //Compute world offset\\n  float axisDistance = position.z;\\n  vec3 dataPosition = axisDistance * axis + offset;\\n\\n  float beta = angle; // i.e. user defined attributes for each tick\\n\\n  float axisAngle;\\n  float clipAngle;\\n  float flip;\\n\\n  if (enableAlign) {\\n    axisAngle = (isAxisTitle) ? HALF_PI :\\n                      computeViewAngle(dataPosition, dataPosition + axis);\\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\\n\\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\\n\\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\\n\\n    beta += applyAlignOption(clipAngle, flip * PI);\\n  }\\n\\n  //Compute plane offset\\n  vec2 planeCoord = position.xy * pixelScale;\\n\\n  mat2 planeXform = scale * mat2(\\n     cos(beta), sin(beta),\\n    -sin(beta), cos(beta)\\n  );\\n\\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n  //Compute clip position\\n  vec3 clipPosition = project(dataPosition);\\n\\n  //Apply text offset in clip coordinates\\n  clipPosition += vec3(viewOffset, 0.0);\\n\\n  //Done\\n  gl_Position = vec4(clipPosition, 1.0);\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);r.text=function(t){return i(t,s,l,null,[{name:\"position\",type:\"vec3\"}])};var c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 enable;\\nuniform vec3 bounds[2];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n\\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\\n\\n  vec3 realNormal = signAxis * normal;\\n\\n  if(dot(realNormal, enable) > 0.0) {\\n    vec3 minRange = min(bounds[0], bounds[1]);\\n    vec3 maxRange = max(bounds[0], bounds[1]);\\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\\n    gl_Position = projection * view * model * vec4(nPosition, 1.0);\\n  } else {\\n    gl_Position = vec4(0,0,0,0);\\n  }\\n\\n  colorChannel = abs(realNormal);\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 colors[3];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n  gl_FragColor = colorChannel.x * colors[0] +\\n                 colorChannel.y * colors[1] +\\n                 colorChannel.z * colors[2];\\n}\"]);r.bg=function(t){return i(t,c,u,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},{\"gl-shader\":132,glslify:231}],75:[function(t,e,r){(function(r){(function(){\"use strict\";e.exports=function(t,e,r,a,s,l){var u=n(t),f=i(t,[{buffer:u,size:3}]),h=o(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,a,s,l),p};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"vectorize-text\"),o=t(\"./shaders\").text,s=window||r.global||{},l=s.__TEXT_CACHE||{};s.__TEXT_CACHE={};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}var u=c.prototype,f=[0,0];u.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,f[0]=this.gl.drawingBufferWidth,f[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=f},u.unbind=function(){this.vao.unbind()},u.update=function(t,e,r,n,i){var o=[];function s(t,e,r,n,i,s){var c=l[r];c||(c=l[r]={});var u=c[e];u||(u=c[e]=function(t,e){try{return a(t,e)}catch(e){return console.warn('error vectorizing text:\"'+t+'\" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:i,styletags:s}));for(var f=(n||12)/12,h=u.positions,p=u.cells,d=0,m=p.length;d<m;++d)for(var g=p[d],v=2;v>=0;--v){var y=h[g[v]];o.push(f*y[0],-f*y[1],t)}}for(var c=[0,0,0],u=[0,0,0],f=[0,0,0],h=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){f[d]=o.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),h[d]=(o.length/3|0)-f[d],c[d]=o.length/3|0;for(var m=0;m<n[d].length;++m)n[d][m].text&&s(n[d][m].x,n[d][m].text,n[d][m].font||i,n[d][m].fontSize||12,1.25,p);u[d]=(o.length/3|0)-c[d]}this.buffer.update(o),this.tickOffset=c,this.tickCount=u,this.labelOffset=f,this.labelCount=h},u.drawTicks=function(t,e,r,n,i,a,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},u.drawLabel=function(t,e,r,n,i,a,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},u.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}}).call(this)}).call(this,t(\"_process\"))},{\"./shaders\":74,_process:5,\"gl-buffer\":78,\"gl-vao\":150,\"vectorize-text\":311}],76:[function(t,e,r){\"use strict\";function n(t,e){var r=t+\"\",n=r.indexOf(\".\"),i=0;n>=0&&(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*a),s=o+\"\";if(s.indexOf(\"e\")>=0)return s;var l=o/a,c=o%a;o<0?(l=0|-Math.ceil(l),c=0|-c):(l=0|Math.floor(l),c|=0);var u=\"\"+l;if(o<0&&(u=\"-\"+u),i){for(var f=\"\"+c;f.length<i;)f=\"0\"+f;return u+\".\"+f}return u}r.create=function(t,e){for(var r=[],i=0;i<3;++i){for(var a=[],o=(t[0][i],t[1][i],0);o*e[i]<=t[1][i];++o)a.push({x:o*e[i],text:n(e[i],o)});for(o=-1;o*e[i]>=t[0][i];--o)a.push({x:o*e[i],text:n(e[i],o)});r.push(a)}return r},r.equal=function(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;++n){var i=t[r][n],a=e[r][n];if(i.x!==a.x||i.text!==a.text||i.font!==a.font||i.fontColor!==a.fontColor||i.fontSize!==a.fontSize||i.dx!==a.dx||i.dy!==a.dy)return!1}}return!0}},{}],77:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,l,f){var h=e.model||c,p=e.view||c,v=e.projection||c,y=e._ortho||!1,x=t.bounds,b=(f=f||a(h,p,v,x,y)).axis;o(u,p,h),o(u,v,u);for(var _=m,w=0;w<3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var T=n(s(u,u));s(u,u);for(var k=0;k<3;++k){var A=(k+1)%3,M=(k+2)%3,S=g;t:for(w=0;w<2;++w){var E=[];if(b[k]<0!=!!w){S[k]=x[w][k];for(var L=0;L<2;++L){S[A]=x[L^w][A];for(var C=0;C<2;++C)S[M]=x[C^L^w][M],E.push(S.slice())}var P=y?5:4;for(L=P;L===P;++L){if(0===E.length)continue t;E=i.positive(E,T[L])}for(L=0;L<E.length;++L){M=E[L];var I=d(g,u,M,r,l);for(C=0;C<3;++C)_[C].lo=Math.min(_[C].lo,M[C]),_[C].hi=Math.max(_[C].hi,M[C]),C!==k&&(_[C].pixelsPerDataUnit=Math.min(_[C].pixelsPerDataUnit,Math.abs(I[C])))}}}}return _};var n=t(\"extract-frustum-planes\"),i=t(\"split-polygon\"),a=t(\"./lib/cube.js\"),o=t(\"gl-mat4/multiply\"),s=t(\"gl-mat4/transpose\"),l=t(\"gl-vec4/transformMat4\"),c=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),u=new Float32Array(16);function f(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var h=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,i){for(var a=0;a<3;++a){for(var o=h,s=p,c=0;c<3;++c)s[c]=o[c]=r[c];s[3]=o[3]=1,s[a]+=1,l(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,l(o,o,e),o[3]<0&&(t[a]=1/0);var u=(o[0]/o[3]-s[0]/s[3])*n,f=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(u*u+f*f)}return t}var m=[new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0)],g=[0,0,0]},{\"./lib/cube.js\":72,\"extract-frustum-planes\":67,\"gl-mat4/multiply\":100,\"gl-mat4/transpose\":109,\"gl-vec4/transformMat4\":221,\"split-polygon\":300}],78:[function(t,e,r){\"use strict\";var n=t(\"typedarray-pool\"),i=t(\"ndarray-ops\"),a=t(\"ndarray\"),o=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"];function s(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}var l=s.prototype;function c(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a<0)return t.bufferData(e,i,n),o;if(o+a>r)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,a,i),r}function u(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a<i;++a)r[a]=t[a];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if(\"number\"!=typeof e&&(e=-1),this.bind(),\"object\"==typeof t&&void 0!==t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r=\"float32\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER)r=gl.getExtension(\"OES_element_index_uint\")&&\"uint16\"!==r?\"uint32\":\"uint16\";if(r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=c(this.gl,this.type,this.length,this.usage,t.data,e):this.length=c(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=c(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?u(t,\"uint16\"):u(t,\"float32\"),this.length=c(this.gl,this.type,this.length,this.usage,e<0?f:f.subarray(0,t.length),e),n.free(f)}else if(\"object\"==typeof t&&\"number\"==typeof t.length)this.length=c(this.gl,this.type,this.length,this.usage,t,e);else{if(\"number\"!=typeof t&&void 0!==t)throw new Error(\"gl-buffer: Invalid data type\");if(e>=0)throw new Error(\"gl-buffer: Cannot specify offset when resizing buffer\");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},e.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error(\"gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER\");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error(\"gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW\");var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},{ndarray:259,\"ndarray-ops\":254,\"typedarray-pool\":308}],79:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\");e.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,c=1/0,u=-1/0,f=1/0,h=-1/0,p=null,d=null,m=[],g=1/0,v=!1,y=0;y<r.length;y++){var x=r[y];s=Math.min(x[0],s),l=Math.max(x[0],l),c=Math.min(x[1],c),u=Math.max(x[1],u),f=Math.min(x[2],f),h=Math.max(x[2],h);var b=i[y];if(n.length(b)>o&&(o=n.length(b)),y){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(g=Math.min(g,_),v=!1):v=!0}v||(p=x,d=b),m.push(b)}var w=[s,c,f],T=[l,u,h];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var k=1/o;isFinite(g)||(g=1),a.vectorScale=g;var A=t.coneSize||.5;t.absoluteConeSize&&(A=t.absoluteConeSize*k),a.coneScale=A;y=0;for(var M=0;y<r.length;y++)for(var S=(x=r[y])[0],E=x[1],L=x[2],C=m[y],P=n.length(C)*k,I=0;I<8;I++){a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vertexIntensity.push(P,P,P),a.vertexIntensity.push(P,P,P);var O=a.positions.length;a.cells.push([O-6,O-5,O-4],[O-3,O-2,O-1])}return a};var i=t(\"./lib/shaders\");e.exports.createMesh=t(\"./create_mesh\"),e.exports.createConeMesh=function(t,r){return e.exports.createMesh(t,r,{shaders:i,traceType:\"cone\"})}},{\"./create_mesh\":80,\"./lib/shaders\":81,\"gl-vec3\":169}],80:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"gl-mat4/multiply\"),l=t(\"gl-mat4/invert\"),c=t(\"ndarray\"),u=t(\"colormap\"),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e,r,n,i,a,o,s,l,c,u){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=i,this.triangleVectors=a,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=c,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=u,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=f,this._view=f,this._projection=f,this._resolution=[1,1]}var p=h.prototype;function d(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}function m(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),\"opacity\"in t&&(this.opacity=t.opacity),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=u({colormap:t,nshades:256,format:\"rgba\"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return c(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],f=[];this.cells=r,this.positions=n,this.vectors=i;var h=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,m=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],m=+t.vertexIntensityBounds[1];else for(var g=0;g<p.length;++g){var v=p[g];d=Math.min(d,v),m=Math.max(m,v)}else for(g=0;g<n.length;++g){v=n[g][2];d=Math.min(d,v),m=Math.max(m,v)}this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(g=0;g<n.length;++g)for(var y=n[g],x=0;x<3;++x)!isNaN(y[x])&&isFinite(y[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],y[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],y[x]));var b=0;t:for(g=0;g<r.length;++g){var _=r[g];switch(_.length){case 3:for(x=0;x<3;++x){y=n[T=_[x]];for(var w=0;w<3;++w)if(isNaN(y[w])||!isFinite(y[w]))continue t}for(x=0;x<3;++x){var T;y=n[T=_[2-x]];a.push(y[0],y[1],y[2],y[3]);var k=i[T];o.push(k[0],k[1],k[2],k[3]||0);var A,M=h;3===M.length?s.push(M[0],M[1],M[2],1):s.push(M[0],M[1],M[2],M[3]),A=p?[(p[T]-d)/(m-d),0]:[(y[2]-d)/(m-d),0],l.push(A[0],A[1]),f.push(g)}b+=1}}this.triangleCount=b,this.trianglePositions.update(a),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(f))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var c={model:r,view:n,projection:i,inverseModel:f.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};c.inverseModel=l(c.inverseModel,c.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);s(u,c.view,c.model),s(u,c.projection,u),l(u,u);for(o=0;o<3;++o)c.eyePosition[o]=u[12+o]/u[15];var h=u[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];c.lightPosition[o]=p/h}if(this.triangleCount>0){var m=this.triShader;m.bind(),m.uniforms=c,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return\"cone\"===this.traceType?i.index=Math.floor(r[1]/48):\"streamtube\"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},e.exports=function(t,e,r){var n=r.shaders;1===arguments.length&&(t=(e=t).gl);var s=d(t,n),l=m(t,n),u=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));u.generateMipmap(),u.minFilter=t.LINEAR_MIPMAP_LINEAR,u.magFilter=t.LINEAR;var f=i(t),p=i(t),g=i(t),v=i(t),y=i(t),x=a(t,[{buffer:f,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:g,type:t.FLOAT,size:4},{buffer:v,type:t.FLOAT,size:2},{buffer:p,type:t.FLOAT,size:4}]),b=new h(t,u,s,l,f,p,y,g,v,x,r.traceType||\"cone\");return b.update(e),b}},{colormap:53,\"gl-buffer\":78,\"gl-mat4/invert\":98,\"gl-mat4/multiply\":100,\"gl-shader\":132,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259}],81:[function(t,e,r){var n=t(\"glslify\"),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec3 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, coneScale, coneOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * conePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\\n  vec4 t_position  = view * conePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = conePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float vectorScale, coneScale, coneOffset;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n  gl_Position = projection * view * conePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec3\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec3\"}]}},{glslify:231}],82:[function(t,e,r){e.exports={0:\"NONE\",1:\"ONE\",2:\"LINE_LOOP\",3:\"LINE_STRIP\",4:\"TRIANGLES\",5:\"TRIANGLE_STRIP\",6:\"TRIANGLE_FAN\",256:\"DEPTH_BUFFER_BIT\",512:\"NEVER\",513:\"LESS\",514:\"EQUAL\",515:\"LEQUAL\",516:\"GREATER\",517:\"NOTEQUAL\",518:\"GEQUAL\",519:\"ALWAYS\",768:\"SRC_COLOR\",769:\"ONE_MINUS_SRC_COLOR\",770:\"SRC_ALPHA\",771:\"ONE_MINUS_SRC_ALPHA\",772:\"DST_ALPHA\",773:\"ONE_MINUS_DST_ALPHA\",774:\"DST_COLOR\",775:\"ONE_MINUS_DST_COLOR\",776:\"SRC_ALPHA_SATURATE\",1024:\"STENCIL_BUFFER_BIT\",1028:\"FRONT\",1029:\"BACK\",1032:\"FRONT_AND_BACK\",1280:\"INVALID_ENUM\",1281:\"INVALID_VALUE\",1282:\"INVALID_OPERATION\",1285:\"OUT_OF_MEMORY\",1286:\"INVALID_FRAMEBUFFER_OPERATION\",2304:\"CW\",2305:\"CCW\",2849:\"LINE_WIDTH\",2884:\"CULL_FACE\",2885:\"CULL_FACE_MODE\",2886:\"FRONT_FACE\",2928:\"DEPTH_RANGE\",2929:\"DEPTH_TEST\",2930:\"DEPTH_WRITEMASK\",2931:\"DEPTH_CLEAR_VALUE\",2932:\"DEPTH_FUNC\",2960:\"STENCIL_TEST\",2961:\"STENCIL_CLEAR_VALUE\",2962:\"STENCIL_FUNC\",2963:\"STENCIL_VALUE_MASK\",2964:\"STENCIL_FAIL\",2965:\"STENCIL_PASS_DEPTH_FAIL\",2966:\"STENCIL_PASS_DEPTH_PASS\",2967:\"STENCIL_REF\",2968:\"STENCIL_WRITEMASK\",2978:\"VIEWPORT\",3024:\"DITHER\",3042:\"BLEND\",3088:\"SCISSOR_BOX\",3089:\"SCISSOR_TEST\",3106:\"COLOR_CLEAR_VALUE\",3107:\"COLOR_WRITEMASK\",3317:\"UNPACK_ALIGNMENT\",3333:\"PACK_ALIGNMENT\",3379:\"MAX_TEXTURE_SIZE\",3386:\"MAX_VIEWPORT_DIMS\",3408:\"SUBPIXEL_BITS\",3410:\"RED_BITS\",3411:\"GREEN_BITS\",3412:\"BLUE_BITS\",3413:\"ALPHA_BITS\",3414:\"DEPTH_BITS\",3415:\"STENCIL_BITS\",3553:\"TEXTURE_2D\",4352:\"DONT_CARE\",4353:\"FASTEST\",4354:\"NICEST\",5120:\"BYTE\",5121:\"UNSIGNED_BYTE\",5122:\"SHORT\",5123:\"UNSIGNED_SHORT\",5124:\"INT\",5125:\"UNSIGNED_INT\",5126:\"FLOAT\",5386:\"INVERT\",5890:\"TEXTURE\",6401:\"STENCIL_INDEX\",6402:\"DEPTH_COMPONENT\",6406:\"ALPHA\",6407:\"RGB\",6408:\"RGBA\",6409:\"LUMINANCE\",6410:\"LUMINANCE_ALPHA\",7680:\"KEEP\",7681:\"REPLACE\",7682:\"INCR\",7683:\"DECR\",7936:\"VENDOR\",7937:\"RENDERER\",7938:\"VERSION\",9728:\"NEAREST\",9729:\"LINEAR\",9984:\"NEAREST_MIPMAP_NEAREST\",9985:\"LINEAR_MIPMAP_NEAREST\",9986:\"NEAREST_MIPMAP_LINEAR\",9987:\"LINEAR_MIPMAP_LINEAR\",10240:\"TEXTURE_MAG_FILTER\",10241:\"TEXTURE_MIN_FILTER\",10242:\"TEXTURE_WRAP_S\",10243:\"TEXTURE_WRAP_T\",10497:\"REPEAT\",10752:\"POLYGON_OFFSET_UNITS\",16384:\"COLOR_BUFFER_BIT\",32769:\"CONSTANT_COLOR\",32770:\"ONE_MINUS_CONSTANT_COLOR\",32771:\"CONSTANT_ALPHA\",32772:\"ONE_MINUS_CONSTANT_ALPHA\",32773:\"BLEND_COLOR\",32774:\"FUNC_ADD\",32777:\"BLEND_EQUATION_RGB\",32778:\"FUNC_SUBTRACT\",32779:\"FUNC_REVERSE_SUBTRACT\",32819:\"UNSIGNED_SHORT_4_4_4_4\",32820:\"UNSIGNED_SHORT_5_5_5_1\",32823:\"POLYGON_OFFSET_FILL\",32824:\"POLYGON_OFFSET_FACTOR\",32854:\"RGBA4\",32855:\"RGB5_A1\",32873:\"TEXTURE_BINDING_2D\",32926:\"SAMPLE_ALPHA_TO_COVERAGE\",32928:\"SAMPLE_COVERAGE\",32936:\"SAMPLE_BUFFERS\",32937:\"SAMPLES\",32938:\"SAMPLE_COVERAGE_VALUE\",32939:\"SAMPLE_COVERAGE_INVERT\",32968:\"BLEND_DST_RGB\",32969:\"BLEND_SRC_RGB\",32970:\"BLEND_DST_ALPHA\",32971:\"BLEND_SRC_ALPHA\",33071:\"CLAMP_TO_EDGE\",33170:\"GENERATE_MIPMAP_HINT\",33189:\"DEPTH_COMPONENT16\",33306:\"DEPTH_STENCIL_ATTACHMENT\",33635:\"UNSIGNED_SHORT_5_6_5\",33648:\"MIRRORED_REPEAT\",33901:\"ALIASED_POINT_SIZE_RANGE\",33902:\"ALIASED_LINE_WIDTH_RANGE\",33984:\"TEXTURE0\",33985:\"TEXTURE1\",33986:\"TEXTURE2\",33987:\"TEXTURE3\",33988:\"TEXTURE4\",33989:\"TEXTURE5\",33990:\"TEXTURE6\",33991:\"TEXTURE7\",33992:\"TEXTURE8\",33993:\"TEXTURE9\",33994:\"TEXTURE10\",33995:\"TEXTURE11\",33996:\"TEXTURE12\",33997:\"TEXTURE13\",33998:\"TEXTURE14\",33999:\"TEXTURE15\",34e3:\"TEXTURE16\",34001:\"TEXTURE17\",34002:\"TEXTURE18\",34003:\"TEXTURE19\",34004:\"TEXTURE20\",34005:\"TEXTURE21\",34006:\"TEXTURE22\",34007:\"TEXTURE23\",34008:\"TEXTURE24\",34009:\"TEXTURE25\",34010:\"TEXTURE26\",34011:\"TEXTURE27\",34012:\"TEXTURE28\",34013:\"TEXTURE29\",34014:\"TEXTURE30\",34015:\"TEXTURE31\",34016:\"ACTIVE_TEXTURE\",34024:\"MAX_RENDERBUFFER_SIZE\",34041:\"DEPTH_STENCIL\",34055:\"INCR_WRAP\",34056:\"DECR_WRAP\",34067:\"TEXTURE_CUBE_MAP\",34068:\"TEXTURE_BINDING_CUBE_MAP\",34069:\"TEXTURE_CUBE_MAP_POSITIVE_X\",34070:\"TEXTURE_CUBE_MAP_NEGATIVE_X\",34071:\"TEXTURE_CUBE_MAP_POSITIVE_Y\",34072:\"TEXTURE_CUBE_MAP_NEGATIVE_Y\",34073:\"TEXTURE_CUBE_MAP_POSITIVE_Z\",34074:\"TEXTURE_CUBE_MAP_NEGATIVE_Z\",34076:\"MAX_CUBE_MAP_TEXTURE_SIZE\",34338:\"VERTEX_ATTRIB_ARRAY_ENABLED\",34339:\"VERTEX_ATTRIB_ARRAY_SIZE\",34340:\"VERTEX_ATTRIB_ARRAY_STRIDE\",34341:\"VERTEX_ATTRIB_ARRAY_TYPE\",34342:\"CURRENT_VERTEX_ATTRIB\",34373:\"VERTEX_ATTRIB_ARRAY_POINTER\",34466:\"NUM_COMPRESSED_TEXTURE_FORM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t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function d(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var d=0;d<i;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var m=this,g=[0|e,0|r];Object.defineProperties(g,{0:{get:function(){return m._shape[0]},set:function(t){return m.width=t}},1:{get:function(){return m._shape[1]},set:function(t){return m.height=t}}}),this._shapeVector=g,function(t){var e=c(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),i=t._shape[0],a=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,m=t._useDepth,g=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var v=0;v<o;++v)t.color[v]=h(r,i,a,g,r.RGBA,r.COLOR_ATTACHMENT0+v);0===o?(t._color_rb=p(r,i,a,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var y=r.getExtension(\"WEBGL_depth_texture\");y?d?t.depth=h(r,i,a,y.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):m&&(t.depth=h(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):m&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):m?t._depth_rb=p(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null);for(v=0;v<t.color.length;++v)t.color[v].dispose(),t.color[v]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),u(r,e),f(x)}u(r,e)}(this)}var m=d.prototype;function g(t,e,r){if(t._destroyed)throw new Error(\"gl-fbo: Can't resize destroyed FBO\");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,i=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var a=c(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),u(n,a),f(s)),u(n,a)}}Object.defineProperties(m,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error(\"gl-fbo: Shape vector must be length 2\");var e=0|t[0],r=0|t[1];return g(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return g(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,g(this,this._shape[0],t),t},enumerable:!1}}),m.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},m.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},{\"gl-texture2d\":146}],87:[function(t,e,r){var n=t(\"sprintf-js\").sprintf,i=t(\"gl-constants/lookup\"),a=t(\"glsl-shader-name\"),o=t(\"add-line-numbers\");e.exports=function(t,e,r){\"use strict\";var s=a(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==r&&(l=r===i.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var c=n(\"Error compiling %s shader %s:\\n\",l,s),u=n(\"%s%s\",c,t),f=t.split(\"\\n\"),h={},p=0;p<f.length;p++){var d=f[p];if(\"\"!==d&&\"\\0\"!==d){var m=parseInt(d.split(\":\")[2]);if(isNaN(m))throw new Error(n(\"Could not parse error: %s\",d));h[m]=d}}var g=o(e).split(\"\\n\");for(p=0;p<g.length;p++)if(h[p+3]||h[p+2]||h[p+1]){var v=g[p];if(c+=v+\"\\n\",h[p+1]){var y=h[p+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),c+=n(\"^^^ %s\\n\\n\",y)}}return{long:c.trim(),short:u.trim()}}},{\"add-line-numbers\":9,\"gl-constants/lookup\":83,\"glsl-shader-name\":223,\"sprintf-js\":301}],88:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=t.gl,n=o(r,l.vertex,l.fragment),i=o(r,l.pickVertex,l.pickFragment),a=s(r),u=s(r),f=s(r),h=s(r),p=new c(t,n,i,a,u,f,h);return p.update(e),t.addObject(p),p};var n=t(\"binary-search-bounds\"),i=t(\"iota-array\"),a=t(\"typedarray-pool\"),o=t(\"gl-shader\"),s=t(\"gl-buffer\"),l=t(\"./lib/shaders\");function c(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var u,f=c.prototype,h=[0,0,1,0,0,1,1,0,1,1,0,1];f.draw=(u=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var i=t.gl,a=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=a[2]-a[0],c=a[3]-a[1];u[0]=2*o/l,u[4]=2*s/c,u[6]=2*(r[0]-a[0])/l-1,u[7]=2*(r[1]-a[1])/c-1,e.bind();var f=e.uniforms;f.viewTransform=u,f.shape=this.shape;var h=e.attributes;this.positionBuffer.bind(),h.position.pointer(),this.weightBuffer.bind(),h.weight.pointer(i.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),h.color.pointer(i.UNSIGNED_BYTE,!0),i.drawArrays(i.TRIANGLES,0,n)}}),f.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,c=a[2]-a[0],u=a[3]-a[1],f=l[2]-l[0],h=l[3]-l[1];t[0]=2*c/f,t[4]=2*u/h,t[6]=2*(a[0]-l[0])/f-1,t[7]=2*(a[1]-l[1])/h-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var m=i.attributes;return this.positionBuffer.bind(),m.position.pointer(),this.weightBuffer.bind(),m.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),m.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r<n||r>=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},f.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var c,u,f,p,d=t.colorLevels||[0],m=t.colorValues||[0,0,0,1],g=d.length,v=this.bounds;l?(c=v[0]=r[0],u=v[1]=o[0],f=v[2]=r[r.length-1],p=v[3]=o[o.length-1]):(c=v[0]=r[0]+(r[1]-r[0])/2,u=v[1]=o[0]+(o[1]-o[0])/2,f=v[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=v[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var y=1/(f-c),x=1/(p-u),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(h.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),A=a.mallocUint8(2*w),M=a.mallocUint32(w),S=0,E=l?b-1:b,L=l?_-1:_,C=0;C<L;++C){var P,I;l?(P=x*(o[C]-u),I=x*(o[C+1]-u)):(P=C<_-1?x*(o[C]-(o[C+1]-o[C])/2-u):x*(o[C]-(o[C]-o[C-1])/2-u),I=C<_-1?x*(o[C]+(o[C+1]-o[C])/2-u):x*(o[C]+(o[C]-o[C-1])/2-u));for(var O=0;O<E;++O){var z,D;l?(z=y*(r[O]-c),D=y*(r[O+1]-c)):(z=O<b-1?y*(r[O]-(r[O+1]-r[O])/2-c):y*(r[O]-(r[O]-r[O-1])/2-c),D=O<b-1?y*(r[O]+(r[O+1]-r[O])/2-c):y*(r[O]+(r[O]-r[O-1])/2-c));for(var R=0;R<h.length;R+=2){var F,B,N,j,U=h[R],V=h[R+1],H=s[l?(C+V)*b+(O+U):C*b+O],q=n.le(d,H);if(q<0)F=m[0],B=m[1],N=m[2],j=m[3];else if(q===g-1)F=m[4*g-4],B=m[4*g-3],N=m[4*g-2],j=m[4*g-1];else{var G=(H-d[q])/(d[q+1]-d[q]),Y=1-G,W=4*q,X=4*(q+1);F=Y*m[W]+G*m[X],B=Y*m[W+1]+G*m[X+1],N=Y*m[W+2]+G*m[X+2],j=Y*m[W+3]+G*m[X+3]}T[4*S]=255*F,T[4*S+1]=255*B,T[4*S+2]=255*N,T[4*S+3]=255*j,k[2*S]=.5*z+.5*D,k[2*S+1]=.5*P+.5*I,A[2*S]=U,A[2*S+1]=V,M[S]=C*b+O,S+=1}}}this.positionBuffer.update(k),this.weightBuffer.update(A),this.colorBuffer.update(T),this.idBuffer.update(M),a.free(k),a.free(T),a.free(A),a.free(M)},f.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},{\"./lib/shaders\":89,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-shader\":132,\"iota-array\":235,\"typedarray-pool\":308}],89:[function(t,e,r){\"use strict\";var n=t(\"glslify\");e.exports={fragment:n([\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\\n}\\n\"]),vertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 color;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  fragColor = color;\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"]),pickFragment:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nuniform vec2 shape;\\nuniform vec4 pickOffset;\\n\\nvoid main() {\\n  vec2 d = step(.5, vWeight);\\n  vec4 id = fragId + pickOffset;\\n  id.x += d.x + d.y*shape.x;\\n\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  gl_FragColor = id/255.;\\n}\\n\"]),pickVertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nvoid main() {\\n  vWeight = weight;\\n\\n  fragId = pickId;\\n\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"])}},{glslify:231}],90:[function(t,e,r){var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, nextPosition;\\nattribute float arcLength, lineWidth;\\nattribute vec4 color;\\n\\nuniform vec2 screenShape;\\nuniform float pixelRatio;\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 fragColor;\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  vec4 startPoint = project(position);\\n  vec4 endPoint   = project(nextPosition);\\n\\n  vec2 A = startPoint.xy / startPoint.w;\\n  vec2 B =   endPoint.xy /   endPoint.w;\\n\\n  float clipAngle = atan(\\n    (B.y - A.y) * screenShape.y,\\n    (B.x - A.x) * screenShape.x\\n  );\\n\\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\\n    sin(clipAngle),\\n    -cos(clipAngle)\\n  ) / screenShape;\\n\\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\\n\\n  worldPosition = position;\\n  pixelArcLength = arcLength;\\n  fragColor = color;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3      clipBounds[2];\\nuniform sampler2D dashTexture;\\nuniform float     dashScale;\\nuniform float     opacity;\\n\\nvarying vec3    worldPosition;\\nvarying float   pixelArcLength;\\nvarying vec4    fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n  if(dashWeight < 0.5) {\\n    discard;\\n  }\\n  gl_FragColor = fragColor * opacity;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX  1.70141184e38\\n#define FLOAT_MIN  1.17549435e-38\\n\\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\\nvec4 packFloat(float v) {\\n  float av = abs(v);\\n\\n  //Handle special cases\\n  if(av < FLOAT_MIN) {\\n    return vec4(0.0, 0.0, 0.0, 0.0);\\n  } else if(v > FLOAT_MAX) {\\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n  } else if(v < -FLOAT_MAX) {\\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\\n  }\\n\\n  vec4 c = vec4(0,0,0,0);\\n\\n  //Compute exponent and mantissa\\n  float e = floor(log2(av));\\n  float m = av * pow(2.0, -e) - 1.0;\\n\\n  //Unpack mantissa\\n  c[1] = floor(128.0 * m);\\n  m -= c[1] / 128.0;\\n  c[2] = floor(32768.0 * m);\\n  m -= c[2] / 32768.0;\\n  c[3] = floor(8388608.0 * m);\\n\\n  //Unpack exponent\\n  float ebias = e + 127.0;\\n  c[0] = floor(ebias / 2.0);\\n  ebias -= c[0] * 2.0;\\n  c[1] += floor(ebias) * 128.0;\\n\\n  //Unpack sign bit\\n  c[0] += 128.0 * step(0.0, -v);\\n\\n  //Scale back to range\\n  return c / 255.0;\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\\n\\n  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\\n}\"]),l=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];r.createShader=function(t){return i(t,a,o,null,l)},r.createPickShader=function(t){return i(t,a,s,null,l)}},{\"gl-shader\":132,glslify:231}],91:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=f(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=h(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),u=c(new Array(1024),[256,1,4]),p=0;p<1024;++p)u.data[p]=255;var d=a(e,u);d.wrap=e.REPEAT;var m=new v(e,r,o,s,l,d);return m.update(t),m};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"gl-texture2d\"),o=new Uint8Array(4),s=new Float32Array(o.buffer);var l=t(\"binary-search-bounds\"),c=t(\"ndarray\"),u=t(\"./lib/shaders\"),f=u.createShader,h=u.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function m(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function g(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function v(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var y=v.prototype;y.isTransparent=function(){return this.hasAlpha},y.isOpaque=function(){return!this.hasAlpha},y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.drawTransparent=y.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,clipBounds:m(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,pickId:this.pickId,clipBounds:m(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.update=function(t){var e,r;this.dirty=!0;var n=!!t.connectGaps;\"dashScale\"in t&&(this.dashScale=t.dashScale),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var i=[],a=[],o=[],s=0,u=0,f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],h=t.position||t.positions;if(h){var p=t.color||t.colors||[0,0,0,1],m=t.lineWidth||1,g=!1;t:for(e=1;e<h.length;++e){var v,y,x,b=h[e-1],_=h[e];for(a.push(s),o.push(b.slice()),r=0;r<3;++r){if(isNaN(b[r])||isNaN(_[r])||!isFinite(b[r])||!isFinite(_[r])){if(!n&&i.length>0){for(var w=0;w<24;++w)i.push(i[i.length-12]);u+=2,g=!0}continue t}f[0][r]=Math.min(f[0][r],b[r],_[r]),f[1][r]=Math.max(f[1][r],b[r],_[r])}Array.isArray(p[0])?(v=p.length>e-1?p[e-1]:p.length>0?p[p.length-1]:[0,0,0,1],y=p.length>e?p[e]:p.length>0?p[p.length-1]:[0,0,0,1]):v=y=p,3===v.length&&(v=[v[0],v[1],v[2],1]),3===y.length&&(y=[y[0],y[1],y[2],1]),!this.hasAlpha&&v[3]<1&&(this.hasAlpha=!0),x=Array.isArray(m)?m.length>e-1?m[e-1]:m.length>0?m[m.length-1]:[0,0,0,1]:m;var T=s;if(s+=d(b,_),g){for(r=0;r<2;++r)i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,v[0],v[1],v[2],v[3]);u+=2,g=!1}i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,v[0],v[1],v[2],v[3],b[0],b[1],b[2],_[0],_[1],_[2],T,-x,v[0],v[1],v[2],v[3],_[0],_[1],_[2],b[0],b[1],b[2],s,-x,y[0],y[1],y[2],y[3],_[0],_[1],_[2],b[0],b[1],b[2],s,x,y[0],y[1],y[2],y[3]),u+=4}}if(this.buffer.update(i),a.push(s),o.push(h[h.length-1].slice()),this.bounds=f,this.vertexCount=u,this.points=o,this.arcLength=a,\"dashes\"in t){var k=t.dashes.slice();for(k.unshift(0),e=1;e<k.length;++e)k[e]=k[e-1]+k[e];var A=c(new Array(1024),[256,1,4]);for(e=0;e<256;++e){for(r=0;r<4;++r)A.set(e,0,r,0);1&l.le(k,k[k.length-1]*e/255)?A.set(e,0,0,0):A.set(e,0,0,255)}this.texture.setPixels(A)}},y.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()},y.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=function(t,e,r,n){return o[0]=n,o[1]=r,o[2]=e,o[3]=t,s[0]}(t.value[0],t.value[1],t.value[2],0),r=l.le(this.arcLength,e);if(r<0)return null;if(r===this.arcLength.length-1)return new g(this.arcLength[this.arcLength.length-1],this.points[this.points.length-1].slice(),r);for(var n=this.points[r],i=this.points[Math.min(r+1,this.points.length-1)],a=(e-this.arcLength[r])/(this.arcLength[r+1]-this.arcLength[r]),c=1-a,u=[0,0,0],f=0;f<3;++f)u[f]=c*n[f]+a*i[f];var h=Math.min(a<.5?r:r+1,this.points.length-1);return new g(e,u,h,this.points[h])}},{\"./lib/shaders\":90,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259}],92:[function(t,e,r){e.exports=function(t){var e=new Float32Array(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e}},{}],93:[function(t,e,r){e.exports=function(){var t=new Float32Array(16);return 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t[0]=1-(p+m),t[1]=f+y,t[2]=h-v,t[3]=0,t[4]=f-y,t[5]=1-(u+m),t[6]=d+g,t[7]=0,t[8]=h+v,t[9]=d-g,t[10]=1-(u+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},{}],97:[function(t,e,r){e.exports=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],98:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],c=e[7],u=e[8],f=e[9],h=e[10],p=e[11],d=e[12],m=e[13],g=e[14],v=e[15],y=r*s-n*o,x=r*l-i*o,b=r*c-a*o,_=n*l-i*s,w=n*c-a*s,T=i*c-a*l,k=u*m-f*d,A=u*g-h*d,M=u*v-p*d,S=f*g-h*m,E=f*v-p*m,L=h*v-p*g,C=y*L-x*E+b*S+_*M-w*A+T*k;if(!C)return null;return C=1/C,t[0]=(s*L-l*E+c*S)*C,t[1]=(i*E-n*L-a*S)*C,t[2]=(m*T-g*w+v*_)*C,t[3]=(h*w-f*T-p*_)*C,t[4]=(l*M-o*L-c*A)*C,t[5]=(r*L-i*M+a*A)*C,t[6]=(g*b-d*T-v*x)*C,t[7]=(u*T-h*b+p*x)*C,t[8]=(o*E-s*M+c*k)*C,t[9]=(n*M-r*E-a*k)*C,t[10]=(d*w-m*b+v*y)*C,t[11]=(f*b-u*w-p*y)*C,t[12]=(s*A-o*S-l*k)*C,t[13]=(r*S-n*A+i*k)*C,t[14]=(m*x-d*_-g*y)*C,t[15]=(u*_-f*x+h*y)*C,t}},{}],99:[function(t,e,r){var n=t(\"./identity\");e.exports=function(t,e,r,i){var a,o,s,l,c,u,f,h,p,d,m=e[0],g=e[1],v=e[2],y=i[0],x=i[1],b=i[2],_=r[0],w=r[1],T=r[2];if(Math.abs(m-_)<1e-6&&Math.abs(g-w)<1e-6&&Math.abs(v-T)<1e-6)return n(t);f=m-_,h=g-w,p=v-T,d=1/Math.sqrt(f*f+h*h+p*p),a=x*(p*=d)-b*(h*=d),o=b*(f*=d)-y*p,s=y*h-x*f,(d=Math.sqrt(a*a+o*o+s*s))?(a*=d=1/d,o*=d,s*=d):(a=0,o=0,s=0);l=h*s-p*o,c=p*a-f*s,u=f*o-h*a,(d=Math.sqrt(l*l+c*c+u*u))?(l*=d=1/d,c*=d,u*=d):(l=0,c=0,u=0);return t[0]=a,t[1]=l,t[2]=f,t[3]=0,t[4]=o,t[5]=c,t[6]=h,t[7]=0,t[8]=s,t[9]=u,t[10]=p,t[11]=0,t[12]=-(a*m+o*g+s*v),t[13]=-(l*m+c*g+u*v),t[14]=-(f*m+h*g+p*v),t[15]=1,t}},{\"./identity\":97}],100:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],m=e[12],g=e[13],v=e[14],y=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*f+w*m,t[1]=x*i+b*l+_*h+w*g,t[2]=x*a+b*c+_*p+w*v,t[3]=x*o+b*u+_*d+w*y,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*f+w*m,t[5]=x*i+b*l+_*h+w*g,t[6]=x*a+b*c+_*p+w*v,t[7]=x*o+b*u+_*d+w*y,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*f+w*m,t[9]=x*i+b*l+_*h+w*g,t[10]=x*a+b*c+_*p+w*v,t[11]=x*o+b*u+_*d+w*y,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*f+w*m,t[13]=x*i+b*l+_*h+w*g,t[14]=x*a+b*c+_*p+w*v,t[15]=x*o+b*u+_*d+w*y,t}},{}],101:[function(t,e,r){e.exports=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t}},{}],102:[function(t,e,r){e.exports=function(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}},{}],103:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,A,M,S,E=n[0],L=n[1],C=n[2],P=Math.sqrt(E*E+L*L+C*C);if(Math.abs(P)<1e-6)return null;E*=P=1/P,L*=P,C*=P,i=Math.sin(r),a=Math.cos(r),o=1-a,s=e[0],l=e[1],c=e[2],u=e[3],f=e[4],h=e[5],p=e[6],d=e[7],m=e[8],g=e[9],v=e[10],y=e[11],x=E*E*o+a,b=L*E*o+C*i,_=C*E*o-L*i,w=E*L*o-C*i,T=L*L*o+a,k=C*L*o+E*i,A=E*C*o+L*i,M=L*C*o-E*i,S=C*C*o+a,t[0]=s*x+f*b+m*_,t[1]=l*x+h*b+g*_,t[2]=c*x+p*b+v*_,t[3]=u*x+d*b+y*_,t[4]=s*w+f*T+m*k,t[5]=l*w+h*T+g*k,t[6]=c*w+p*T+v*k,t[7]=u*w+d*T+y*k,t[8]=s*A+f*M+m*S,t[9]=l*A+h*M+g*S,t[10]=c*A+p*M+v*S,t[11]=u*A+d*M+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t}},{}],104:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[4]=a*i+c*n,t[5]=o*i+u*n,t[6]=s*i+f*n,t[7]=l*i+h*n,t[8]=c*i-a*n,t[9]=u*i-o*n,t[10]=f*i-s*n,t[11]=h*i-l*n,t}},{}],105:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i-c*n,t[1]=o*i-u*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+c*i,t[9]=o*n+u*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}},{}],106:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[4],u=e[5],f=e[6],h=e[7];e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i+c*n,t[1]=o*i+u*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=c*i-a*n,t[5]=u*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}},{}],107:[function(t,e,r){e.exports=function(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},{}],108:[function(t,e,r){e.exports=function(t,e,r){var n,i,a,o,s,l,c,u,f,h,p,d,m=r[0],g=r[1],v=r[2];e===t?(t[12]=e[0]*m+e[4]*g+e[8]*v+e[12],t[13]=e[1]*m+e[5]*g+e[9]*v+e[13],t[14]=e[2]*m+e[6]*g+e[10]*v+e[14],t[15]=e[3]*m+e[7]*g+e[11]*v+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=c,t[7]=u,t[8]=f,t[9]=h,t[10]=p,t[11]=d,t[12]=n*m+s*g+f*v+e[12],t[13]=i*m+l*g+h*v+e[13],t[14]=a*m+c*g+p*v+e[14],t[15]=o*m+u*g+d*v+e[15]);return t}},{}],109:[function(t,e,r){e.exports=function(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},{}],110:[function(t,e,r){\"use strict\";var n=t(\"barycentric\"),i=t(\"polytope-closest-point/lib/closest_point_2d.js\");function a(t,e){for(var r=[0,0,0,0],n=0;n<4;++n)for(var i=0;i<4;++i)r[i]+=t[4*n+i]*e[n];return r}function o(t,e,r,n,i){for(var o=a(n,a(r,a(e,[t[0],t[1],t[2],1]))),s=0;s<3;++s)o[s]/=o[3];return[.5*i[0]*(1+o[0]),.5*i[1]*(1-o[1])]}function s(t,e){for(var r=[0,0,0],n=0;n<t.length;++n)for(var i=t[n],a=e[n],o=0;o<3;++o)r[o]+=a*i[o];return r}e.exports=function(t,e,r,a,l,c){if(1===t.length)return[0,t[0].slice()];for(var u=new Array(t.length),f=0;f<t.length;++f)u[f]=o(t[f],r,a,l,c);var h=0,p=1/0;for(f=0;f<u.length;++f){for(var d=0,m=0;m<2;++m)d+=Math.pow(u[f][m]-e[m],2);d<p&&(p=d,h=f)}var g=function(t,e){if(2===t.length){for(var r=0,a=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),a+=Math.pow(e[o]-t[1][o],2);return r=Math.sqrt(r),a=Math.sqrt(a),r+a<1e-6?[1,0]:[a/(r+a),r/(a+r)]}if(3===t.length){var s=[0,0];return i(t[0],t[1],t[2],e,s),n(t,s)}return[]}(u,e),v=0;for(f=0;f<3;++f){if(g[f]<-.001||g[f]>1.0001)return null;v+=g[f]}if(Math.abs(v-1)>.001)return null;return[h,s(t,g),g]}},{barycentric:14,\"polytope-closest-point/lib/closest_point_2d.js\":270}],111:[function(t,e,r){var n=t(\"glslify\"),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, normal;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model\\n           , view\\n           , projection\\n           , inverseModel;\\nuniform vec3 eyePosition\\n           , lightPosition;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  gl_Position      = project(position);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  f_color          = color;\\n  f_data           = position;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n            , fresnel\\n            , kambient\\n            , kdiffuse\\n            , kspecular;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (f_color.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\\n  ) discard;\\n\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\\n\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * f_color.a;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_color = color;\\n  f_data  = position;\\n  f_uv    = uv;\\n}\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\n\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\nattribute float pointSize;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\\n  } else {\\n    gl_Position = projection * view * model * vec4(position, 1.0);\\n  }\\n  gl_PointSize = pointSize;\\n  f_color = color;\\n  f_uv = uv;\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\\n  if(dot(pointR, pointR) > 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_id        = id;\\n  f_position  = position;\\n}\"]),f=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]),h=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3  position;\\nattribute float pointSize;\\nattribute vec4  id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\\n  } else {\\n    gl_Position  = projection * view * model * vec4(position, 1.0);\\n    gl_PointSize = pointSize;\\n  }\\n  f_id         = id;\\n  f_position   = position;\\n}\"]),p=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n}\"]),d=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec3 contourColor;\\n\\nvoid main() {\\n  gl_FragColor = vec4(contourColor, 1.0);\\n}\\n\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.wireShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.pointShader={vertex:l,fragment:c,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},r.pickShader={vertex:u,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},r.pointPickShader={vertex:h,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},r.contourShader={vertex:p,fragment:d,attributes:[{name:\"position\",type:\"vec3\"}]}},{glslify:231}],112:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"normals\"),l=t(\"gl-mat4/multiply\"),c=t(\"gl-mat4/invert\"),u=t(\"ndarray\"),f=t(\"colormap\"),h=t(\"simplicial-complex-contour\"),p=t(\"typedarray-pool\"),d=t(\"./lib/shaders\"),m=t(\"./lib/closest-point\"),g=d.meshShader,v=d.wireShader,y=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,T,k,A,M,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=u,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=c,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=g,this.edgeUVs=v,this.edgeIds=m,this.edgeVAO=y,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function A(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function M(t){var e=n(t,g.vertex,g.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}function S(t){var e=n(t,v.vertex,v.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}function E(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function C(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function P(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var c=r[l],u=0;u<2;++u){var f=c[0];2===c.length&&(f=c[u]);for(var d=n[f][0],m=n[f][1],g=i[f],v=1-g,y=this.positions[d],x=this.positions[m],b=0;b<3;++b)o[s++]=g*y[b]+v*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},k.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"contourEnable\"in t&&(this.contourEnable=t.contourEnable),\"contourColor\"in t&&(this.contourColor=t.contourColor),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=t.opacity,this.opacity<1&&(this.hasAlpha=!0)),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale,this.hasAlpha=!0),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t,e){for(var r=f({colormap:t,nshades:256,format:\"rgba\"}),n=new Uint8Array(1024),i=0;i<256;++i){for(var a=r[i],o=0;o<3;++o)n[4*i+o]=a[o];n[4*i+3]=e?255*A(i/255,e):255*a[3]}return u(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var i=[],a=[],l=[],c=[],h=[],p=[],d=[],m=[],g=[],v=[],y=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,M=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=s.faceNormals(r,n,M)),T||w||(w=s.vertexNormals(r,n,k));var S=t.vertexColors,E=t.cellColors,L=t.meshColor||[1,1,1,1],C=t.vertexUVs,P=t.vertexIntensity,I=t.cellUVs,O=t.cellIntensity,z=1/0,D=-1/0;if(!C&&!I)if(P)if(t.vertexIntensityBounds)z=+t.vertexIntensityBounds[0],D=+t.vertexIntensityBounds[1];else for(var R=0;R<P.length;++R){var F=P[R];z=Math.min(z,F),D=Math.max(D,F)}else if(O)if(t.cellIntensityBounds)z=+t.cellIntensityBounds[0],D=+t.cellIntensityBounds[1];else for(R=0;R<O.length;++R){F=O[R];z=Math.min(z,F),D=Math.max(D,F)}else for(R=0;R<n.length;++R){F=n[R][2];z=Math.min(z,F),D=Math.max(D,F)}this.intensity=P||(O||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n)),this.pickVertex=!(O||E);var B=t.pointSizes,N=t.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(R=0;R<n.length;++R)for(var j=n[R],U=0;U<3;++U)!isNaN(j[U])&&isFinite(j[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],j[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],j[U]));var V=0,H=0,q=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[W=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;v.push(j[0],j[1],j[2]),X=S?S[W]:E?E[R]:L,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===X.length?y.push(X[0],X[1],X[2],this.opacity):(y.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],x.push(Z[0],Z[1]),B?b.push(B[W]):b.push(N),_.push(R),q+=1;break;case 2:for(U=0;U<2;++U){j=n[W=G[U]];for(var Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t}for(U=0;U<2;++U){j=n[W=G[U]];p.push(j[0],j[1],j[2]),X=S?S[W]:E?E[R]:L,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===X.length?d.push(X[0],X[1],X[2],this.opacity):(d.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],m.push(Z[0],Z[1]),g.push(R)}H+=1;break;case 3:for(U=0;U<3;++U)for(j=n[W=G[U]],Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t;for(U=0;U<3;++U){var W,X,Z,J;j=n[W=G[2-U]];i.push(j[0],j[1],j[2]),(X=S?S[W]:E?E[R]:L)?this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===X.length?a.push(X[0],X[1],X[2],this.opacity):(a.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)):a.push(.5,.5,.5,1),Z=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],c.push(Z[0],Z[1]),J=w?w[W]:T[R],l.push(J[0],J[1],J[2]),h.push(R)}V+=1}}this.pointCount=q,this.edgeCount=H,this.triangleCount=V,this.pointPositions.update(v),this.pointColors.update(y),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(m),this.edgeIds.update(new Uint32Array(g)),this.trianglePositions.update(i),this.triangleColors.update(a),this.triangleUVs.update(c),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(h))}},k.drawTransparent=k.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,inverseModel:w.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=c(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);l(u,s.view,s.model),l(u,s.projection,u),c(u,u);for(o=0;o<3;++o)s.eyePosition[o]=u[12+o]/u[15];var f,h=u[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/h}this.triangleCount>0&&((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind());this.edgeCount>0&&this.lineWidth>0&&((f=this.lineShader).bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind());this.pointCount>0&&((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind());this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((f=this.contourShader).bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};((s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0)&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;a<r.length;++a)i[a]=n[r[a]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],c=this.positions[r[1]],u=this.positions[r[2]],f=[(l[0]+c[0]+u[0])/3,(l[1]+c[1]+u[1])/3,(l[2]+c[2]+u[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:f}}var h=m(i,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!h)return null;var p=h[2],d=0;for(a=0;a<r.length;++a)d+=p[a]*this.intensity[r[a]];return{position:h[1],index:r[h[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[h[0]]]}},k.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},e.exports=function(t,e){1===arguments.length&&(t=(e=t).gl);var r=t.getExtension(\"OES_standard_derivatives\")||t.getExtension(\"MOZ_OES_standard_derivatives\")||t.getExtension(\"WEBKIT_OES_standard_derivatives\");if(!r)throw new Error(\"derivatives not supported\");var n=M(t),s=S(t),l=E(t),c=L(t),f=C(t),h=P(t),p=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=i(t),m=i(t),g=i(t),v=i(t),y=i(t),x=a(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:m,type:t.FLOAT,size:4},{buffer:g,type:t.FLOAT,size:2},{buffer:v,type:t.FLOAT,size:3}]),b=i(t),_=i(t),w=i(t),k=i(t),A=a(t,[{buffer:b,type:t.FLOAT,size:3},{buffer:k,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:_,type:t.FLOAT,size:4},{buffer:w,type:t.FLOAT,size:2}]),I=i(t),O=i(t),z=i(t),D=i(t),R=i(t),F=a(t,[{buffer:I,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:O,type:t.FLOAT,size:4},{buffer:z,type:t.FLOAT,size:2},{buffer:D,type:t.FLOAT,size:1}]),B=i(t),N=a(t,[{buffer:B,type:t.FLOAT,size:3}]),j=new T(t,p,n,s,l,c,f,h,d,y,m,g,v,x,b,k,_,w,A,I,R,O,z,D,F,B,N);return j.update(e),j}},{\"./lib/closest-point\":110,\"./lib/shaders\":111,colormap:53,\"gl-buffer\":78,\"gl-mat4/invert\":98,\"gl-mat4/multiply\":100,\"gl-shader\":132,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259,normals:261,\"simplicial-complex-contour\":291,\"typedarray-pool\":308}],113:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[0,0,0,1,1,0,1,1]),s=i(e,a.boxVert,a.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"./shaders\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,i){var a=this.plot,o=this.shader,c=a.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=i,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":116,\"gl-buffer\":78,\"gl-shader\":132}],114:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),a=i(e,o.gridVert,o.gridFrag),l=i(e,o.tickVert,o.gridFrag);return new s(t,r,a,l)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"binary-search-bounds\"),o=t(\"./shaders\");function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var c,u,f,h,p,d=s.prototype;d.draw=(c=[0,0],u=[0,0],f=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,i=t.gl,a=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,h=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,m=0;m<2;++m){var g=a[m],v=a[m+2]-g,y=.5*(o[m+2]+o[m]),x=o[m+2]-o[m];u[m]=2*v/x,c[m]=2*(g-y)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=c,r.uniforms.dataScale=u;var b=0;for(m=0;m<2;++m){f[0]=f[1]=0,f[m]=1,r.uniforms.dataAxis=f,r.uniforms.lineWidth=l[m]/(s[m+2]-s[m])*d,r.uniforms.color=h[m];var _=6*n[m].length;p[m]&&_&&i.drawArrays(i.TRIANGLES,b,_),b+=_}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],i=[0,0],o=[0,0];return function(){for(var s=this.plot,c=this.vbo,u=this.tickShader,f=this.ticks,h=s.gl,p=s._tickBounds,d=s.dataBox,m=s.viewBox,g=s.pixelRatio,v=s.screenBox,y=v[2]-v[0],x=v[3]-v[1],b=m[2]-m[0],_=m[3]-m[1],w=0;w<2;++w){var T=p[w],k=p[w+2]-T,A=.5*(d[w+2]+d[w]),M=d[w+2]-d[w];e[w]=2*k/M,t[w]=2*(T-A)/M}e[0]*=b/y,t[0]*=b/y,e[1]*=_/x,t[1]*=_/x,u.bind(),c.bind(),u.attributes.dataCoord.pointer();var S=u.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,L=s.tickMarkWidth,C=s.tickMarkColor,P=6*f[0].length,I=Math.min(a.ge(f[0],(d[0]-p[0])/(p[2]-p[0]),l),f[0].length),O=Math.min(a.gt(f[0],(d[2]-p[0])/(p[2]-p[0]),l),f[0].length),z=0+6*I,D=6*Math.max(0,O-I),R=Math.min(a.ge(f[1],(d[1]-p[1])/(p[3]-p[1]),l),f[1].length),F=Math.min(a.gt(f[1],(d[3]-p[1])/(p[3]-p[1]),l),f[1].length),B=P+6*R,N=6*Math.max(0,F-R);i[0]=2*(m[0]-E[1])/y-1,i[1]=(m[3]+m[1])/x-1,o[0]=E[1]*g/y,o[1]=L[1]*g/x,N&&(S.color=C[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(m[2]+m[0])/y-1,i[1]=2*(m[1]-E[0])/x-1,o[0]=L[0]*g/y,o[1]=E[0]*g/x,D&&(S.color=C[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,z,D)),i[0]=2*(m[2]+E[3])/y-1,i[1]=(m[3]+m[1])/x-1,o[0]=E[3]*g/y,o[1]=L[3]*g/x,N&&(S.color=C[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(m[2]+m[0])/y-1,i[1]=2*(m[3]+E[2])/x-1,o[0]=L[2]*g/y,o[1]=E[2]*g/x,D&&(S.color=C[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,z,D))}}(),d.update=(h=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),i=(this.plot.zeroLineEnable,0),a=[[],[]],o=0;o<2;++o)for(var s=a[o],l=e[o],c=r[o],u=r[o+2],f=0;f<l.length;++f){var d=(l[f].x-c)/(u-c);s.push(d);for(var m=0;m<6;++m)n[i++]=d,n[i++]=h[m],n[i++]=p[m]}this.ticks=a,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},{\"./shaders\":116,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-shader\":132}],115:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[-1,-1,-1,1,1,-1,1,1]),s=i(e,a.lineVert,a.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"./shaders\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,i,a){var o=this.plot,c=this.shader,u=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,c.uniforms.start=s,c.uniforms.end=l,c.uniforms.width=i*o.pixelRatio,c.uniforms.color=a,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":116,\"gl-buffer\":78,\"gl-shader\":132}],116:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=n([\"precision lowp float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\\n}\\n\"]);e.exports={lineVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 start, end;\\nuniform float width;\\n\\nvec2 perp(vec2 v) {\\n  return vec2(v.y, -v.x);\\n}\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  vec2 delta = normalize(perp(start - end));\\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\\n}\\n\"]),lineFrag:i,textVert:n([\"#define GLSLIFY 1\\nattribute vec3 textCoordinate;\\n\\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\\nuniform float angle;\\n\\nvoid main() {\\n  float dataOffset  = textCoordinate.z;\\n  vec2 glyphOffset  = textCoordinate.xy;\\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\\n    glyphMatrix * glyphOffset * textScale + screenOffset;\\n  gl_Position = vec4(screenCoordinate, 0, 1);\\n}\\n\"]),textFrag:i,gridVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale;\\nuniform float lineWidth;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\\n  gl_Position = vec4(pos, 0, 1);\\n}\\n\"]),gridFrag:i,boxVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 lo, hi;\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\\n}\\n\"]),tickVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\\n}\\n\"])}},{glslify:231}],117:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),a=i(e,s.textVert,s.textFrag);return new l(t,r,a)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"text-cache\"),o=t(\"binary-search-bounds\"),s=t(\"./shaders\");function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var c,u,f,h,p,d,m=l.prototype;m.drawTicks=(c=[0,0],u=[0,0],f=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],i=this.tickOffset[t],a=e.gl,s=e.viewBox,l=e.dataBox,h=e.screenBox,p=e.pixelRatio,d=e.tickEnable,m=e.tickPad,g=e.tickColor,v=e.tickAngle,y=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],T=this.labelCount[t],k=o.lt(n,l[t]),A=o.le(n,l[t+2]);c[0]=c[1]=0,c[t]=1,u[t]=(s[2+t]+s[t])/(h[2+t]-h[t])-1;var M=2/h[2+(1^t)]-h[1^t];u[1^t]=M*s[1^t]-1,d[t]&&(u[1^t]-=M*p*m[t],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=g[t],r.uniforms.angle=v[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),y[t]&&T&&(u[1^t]-=M*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=u,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),u[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(u[1^t]+=M*p*m[t+2],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=g[t+2],r.uniforms.angle=v[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),y[t+2]&&T&&(u[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=u,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),m.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,c=r.pixelRatio;if(this.titleCount){for(var u=0;u<2;++u)e[u]=2*(o[u]*c-a[u])/(a[2+u]-a[u])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),m.bind=(h=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,c=.5*(n[o+2]+n[o]),u=n[o+2]-n[o],f=a[o],m=a[o+2]-f,g=i[o],v=i[o+2]-g;p[o]=2*l/u*m/v,h[o]=2*(s-c)/u*m/v}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=h,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),m.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,c=t.bounds;for(o=0;o<2;++o){var u=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e<h.length;++e){var p=h[e],d=p.x,m=p.text,g=p.font||\"sans-serif\";i=p.fontSize||12;for(var v=1/(c[o+2]-c[o]),y=c[o],x=m.split(\"\\n\"),b=0;b<x.length;b++)for(n=a(g,x[b]).data,r=0;r<n.length;r+=2)s.push(n[r]*i,-n[r+1]*i-b*i*1.2,(d-y)*v);u.push(Math.floor(s.length/3)),f.push(d)}this.tickOffset[o]=u,this.tickX[o]=f}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=a(t.labelFont[o],t.labels[o],{textAlign:\"center\"}).data,i=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=a(t.titleFont,t.title).data,i=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},m.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":116,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-shader\":132,\"text-cache\":303}],118:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[e.drawingBufferWidth,e.drawingBufferHeight]),c=new l(e,r);return c.grid=i(c),c.text=a(c),c.line=o(c),c.box=s(c),c.update(t),c};var n=t(\"gl-select-static\"),i=t(\"./lib/grid\"),a=t(\"./lib/text\"),o=t(\"./lib/line\"),s=t(\"./lib/box\");function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var c=l.prototype;function u(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function f(t,e){return t.x-e.x}c.setDirty=function(){this.dirty=this.pickDirty=!0},c.setOverlayDirty=function(){this.dirty=!0},c.nextDepthValue=function(){return this._depthCounter++/65536},c.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,i=this.pixelRatio,a=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var c=this.borderColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var u=this.backgroundColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var f=this.zeroLineEnable,h=this.zeroLineColor,p=this.zeroLineWidth;if(f[0]||f[1]){o.bind();for(var d=0;d<2;++d)if(f[d]&&n[d]<=0&&n[d+2]>=0){var m=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(m,e[1],m,e[3],p[d],h[d]):o.drawLine(e[0],m,e[2],m,p[d],h[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var g=this.borderLineEnable,v=this.borderLineWidth,y=this.borderLineColor;for(g[1]&&o.drawLine(r[0],r[1]-.5*v[1]*i,r[0],r[3]+.5*v[3]*i,v[1],y[1]),g[0]&&o.drawLine(r[0]-.5*v[0]*i,r[1],r[2]+.5*v[2]*i,r[1],v[0],y[0]),g[3]&&o.drawLine(r[2],r[1]-.5*v[1]*i,r[2],r[3]+.5*v[3]*i,v[3],y[3]),g[2]&&o.drawLine(r[0]-.5*v[0]*i,r[3],r[2]+.5*v[2]*i,r[3],v[2],y[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},c.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl,this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},c.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,i=this.viewBox,a=0|Math.round((t-i[0]/r)*n),o=0|Math.round((e-i[1]/r)*n),s=this.pickBuffer.query(a,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),c=this.objects,u=0;u<c.length;++u){var f=c[u].pick(a,o,l);if(f)return f}return null}},c.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},c.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},c.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},c.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]);this.screenBox;this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,i=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/i,10,10/i]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=u(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=u(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=u(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!(\"titleEnable\"in t)||!!t.titleEnable,this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=u(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=u(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=u(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var a=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=a[s].slice(0);0!==l.length&&(l.sort(f),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:a}),this.text.update({bounds:o,ticks:a,labels:t.labels||[\"x\",\"y\"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||[\"sans-serif\",\"sans-serif\"],title:t.title||\"\",titleSize:t.titleSize||18,titleFont:t.titleFont||\"sans-serif\"}),this.static=!!t.static,this.setDirty()},c.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();this.objects.length=0;for(t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},c.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},c.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},c.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},c.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},{\"./lib/box\":113,\"./lib/grid\":114,\"./lib/line\":115,\"./lib/text\":117,\"gl-select-static\":131}],119:[function(t,e,r){\"use strict\";e.exports=function(t,e){t=t||document.body,e=e||{};var r=[.01,1/0];\"distanceLimits\"in e&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]);\"zoomMin\"in e&&(r[0]=e.zoomMin);\"zoomMax\"in e&&(r[1]=e.zoomMax);var c=i({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||\"orbit\",distanceLimits:r}),u=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],f=0,h=t.clientWidth,p=t.clientHeight,d={keyBindingMode:\"rotate\",enableWheel:!0,view:c,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:c.modes,_ortho:e._ortho||e.projection&&\"orthographic\"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,i=e-2*r;c.idle(e-r),c.recalcMatrix(i),c.flush(e-(100+2*r));for(var a=!0,o=c.computedMatrix,s=0;s<16;++s)a=a&&u[s]===o[s],u[s]=o[s];var l=t.clientWidth===h&&t.clientHeight===p;return h=t.clientWidth,p=t.clientHeight,a?!l:(f=Math.exp(c.computedRadius[0]),!0)},lookAt:function(t,e,r){c.lookAt(c.lastT(),t,e,r)},rotate:function(t,e,r){c.rotate(c.lastT(),t,e,r)},pan:function(t,e,r){c.pan(c.lastT(),t,e,r)},translate:function(t,e,r){c.translate(c.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return c.computedMatrix},set:function(t){return c.setMatrix(c.lastT(),t),c.computedMatrix},enumerable:!0},mode:{get:function(){return c.getMode()},set:function(t){var e=c.computedUp.slice(),r=c.computedEye.slice(),i=c.computedCenter.slice();if(c.setMode(t),\"turntable\"===t){var a=n();c._active.lookAt(a,r,i,e),c._active.lookAt(a+500,r,i,[0,0,1]),c._active.flush(a)}return c.getMode()},enumerable:!0},center:{get:function(){return c.computedCenter},set:function(t){return c.lookAt(c.lastT(),null,t),c.computedCenter},enumerable:!0},eye:{get:function(){return c.computedEye},set:function(t){return c.lookAt(c.lastT(),t),c.computedEye},enumerable:!0},up:{get:function(){return c.computedUp},set:function(t){return c.lookAt(c.lastT(),null,null,t),c.computedUp},enumerable:!0},distance:{get:function(){return f},set:function(t){return c.setDistance(c.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return c.getDistanceLimits(r)},set:function(t){return c.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener(\"contextmenu\",(function(t){return t.preventDefault(),!1})),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,i,a){var o=d.keyBindingMode;if(!1!==o){var s=\"rotate\"===o,l=\"pan\"===o,u=\"zoom\"===o,h=!!a.control,p=!!a.alt,m=!!a.shift,g=!!(1&e),v=!!(2&e),y=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(i-d._lastY),w=d.flipX?1:-1,T=d.flipY?1:-1,k=Math.PI*d.rotateSpeed,A=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&g&&!h&&!p&&!m||g&&!h&&!p&&m)&&c.rotate(A,w*k*b,-T*k*_,0),(l&&g&&!h&&!p&&!m||v||g&&h&&!p&&!m)&&c.pan(A,-d.translateSpeed*b*f,d.translateSpeed*_*f,0),u&&g&&!h&&!p&&!m||y||g&&!h&&p&&!m)){var M=-d.zoomSpeed*_/window.innerHeight*(A-c.lastT())*100;c.pan(A,0,0,f*(Math.exp(M)-1))}return d._lastX=r,d._lastY=i,d._lastMods=a,!0}}d.mouseListener=a(t,e),t.addEventListener(\"touchstart\",(function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods)}),!!l&&{passive:!0}),t.addEventListener(\"touchmove\",(function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener(\"touchend\",(function(t){e(0,d._lastX,d._lastY,d._lastMods)}),!!l&&{passive:!0}),d.wheelListener=o(t,(function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,i=d.flipY?1:-1,a=n();if(Math.abs(t)>Math.abs(e))c.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-c.lastT())/20;c.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=t(\"right-now\"),i=t(\"3d-view\"),a=t(\"mouse-change\"),o=t(\"mouse-wheel\"),s=t(\"mouse-event-offset\"),l=t(\"has-passive-events\")},{\"3d-view\":7,\"has-passive-events\":232,\"mouse-change\":247,\"mouse-event-offset\":248,\"mouse-wheel\":250,\"right-now\":278}],120:[function(t,e,r){var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision mediump float;\\n#define GLSLIFY 1\\nattribute vec2 position;\\nvarying vec2 uv;\\nvoid main() {\\n  uv = position;\\n  gl_Position = vec4(position, 0, 1);\\n}\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D accumBuffer;\\nvarying vec2 uv;\\n\\nvoid main() {\\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\\n  gl_FragColor = min(vec4(1,1,1,1), accum);\\n}\"]);e.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec2\"}])}},{\"gl-shader\":132,glslify:231}],121:[function(t,e,r){\"use strict\";var n=t(\"./camera.js\"),i=t(\"gl-axes3d\"),a=t(\"gl-axes3d/properties\"),o=t(\"gl-spikes3d\"),s=t(\"gl-select-static\"),l=t(\"gl-fbo\"),c=t(\"a-big-triangle\"),u=t(\"mouse-change\"),f=t(\"gl-mat4/perspective\"),h=t(\"gl-mat4/ortho\"),p=t(\"./lib/shader\"),d=t(\"is-mobile\")({tablet:!0,featureDetect:!0});function m(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function g(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}if(e>0){r=Math.round(Math.pow(10,e));return Math.ceil(t/r)*r}return Math.ceil(t)}function v(t){return\"boolean\"!=typeof t||t}e.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;if(!e){if(e=document.createElement(\"canvas\"),t.container)t.container.appendChild(e);else document.body.appendChild(e)}var r=t.gl;r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext(\"webgl\",e))||(r=t.getContext(\"experimental-webgl\",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d}));if(!r)throw new Error(\"webgl not supported\");var y=t.bounds||[[-10,-10,-10],[10,10,10]],x=new m,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&\"orthographic\"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||\"turntable\",_ortho:w},k=t.axes||{},A=i(r,k);A.enable=!k.disable;var M=t.spikes||{},S=o(r,M),E=[],L=[],C=[],P=[],I=!0,O=!0,z=new Array(16),D=new Array(16),R={view:null,projection:z,model:D,_ortho:!1},F=(O=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),B=t.cameraObject||n(e,T),N={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:B,axes:A,axesPixels:null,spikes:S,bounds:y,objects:E,shape:F,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:v(t.autoResize),autoBounds:v(t.autoBounds),autoScale:!!t.autoScale,autoCenter:v(t.autoCenter),clipToBounds:v(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:R,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,O=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},j=[r.drawingBufferWidth/N.pixelRatio|0,r.drawingBufferHeight/N.pixelRatio|0];function U(){if(!N._stopped&&N.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*N.pixelRatio),a=0|Math.ceil(n*N.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||\"absolute\",o.left=\"0px\",o.top=\"0px\",o.width=r+\"px\",o.height=n+\"px\",I=!0}}}N.autoResize&&U();function V(){for(var t=E.length,e=P.length,n=0;n<e;++n)C[n]=0;t:for(n=0;n<t;++n){var i=E[n],a=i.pickSlots;if(a){for(var o=0;o<e;++o)if(C[o]+a<255){L[n]=o,i.setPickBase(C[o]+1),C[o]+=a;continue t}var l=s(r,F);L[n]=e,P.push(l),C.push(a),i.setPickBase(1),e+=1}else L[n]=-1}for(;e>0&&0===C[e-1];)C.pop(),P.pop().dispose()}function H(){if(N.contextLost)return!0;r.isContextLost()&&(N.contextLost=!0,N.mouseListener.enabled=!1,N.selection.object=null,N.oncontextloss&&N.oncontextloss())}window.addEventListener(\"resize\",U),N.update=function(t){N._stopped||(t=t||{},I=!0,O=!0)},N.add=function(t){N._stopped||(t.axes=A,E.push(t),L.push(-1),I=!0,O=!0,V())},N.remove=function(t){if(!N._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),I=!0,O=!0,V())}},N.dispose=function(){if(!N._stopped&&(N._stopped=!0,window.removeEventListener(\"resize\",U),e.removeEventListener(\"webglcontextlost\",H),N.mouseListener.enabled=!1,!N.contextLost)){A.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();b.dispose();for(t=0;t<P.length;++t)P[t].dispose();_.dispose(),r=null,A=null,S=null,E=[]}},N._mouseRotating=!1,N._prevButtons=0,N.enableMouseListeners=function(){N.mouseListener=u(e,(function(t,e,r){if(!N._stopped){var n=P.length,i=E.length,a=x.object;x.distance=1/0,x.mouse[0]=e,x.mouse[1]=r,x.object=null,x.screen=null,x.dataCoordinate=x.dataPosition=null;var o=!1;if(t&&N._prevButtons)N._mouseRotating=!0;else{N._mouseRotating&&(O=!0),N._mouseRotating=!1;for(var s=0;s<n;++s){var l=P[s].query(e,j[1]-r-1,N.pickRadius);if(l){if(l.distance>x.distance)continue;for(var c=0;c<i;++c){var u=E[c];if(L[c]===s){var f=u.pick(l);f&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=u,x.index=f.distance,x.dataPosition=f.position,x.dataCoordinate=f.dataCoordinate,x.data=f,o=!0)}}}}}a&&a!==x.object&&(a.highlight&&a.highlight(null),I=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),I=!0),(o=o||x.object!==a)&&N.onselect&&N.onselect(x),1&t&&!(1&N._prevButtons)&&N.onclick&&N.onclick(x),N._prevButtons=t}}))},e.addEventListener(\"webglcontextlost\",H);var q=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],G=[q[0].slice(),q[1].slice()];function Y(){if(!H()){U();var t=N.camera.tick();R.view=N.camera.matrix,I=I||t,O=O||t,A.pixelRatio=N.pixelRatio,S.pixelRatio=N.pixelRatio;var e=E.length,n=q[0],i=q[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<e;++o){(C=E[o]).pixelRatio=N.pixelRatio,C.axes=N.axes,I=I||!!C.dirty,O=O||!!C.dirty;var s=C.bounds;if(s)for(var l=s[0],u=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),i[p]=Math.max(i[p],u[p])}var d=N.bounds;if(N.autoBounds)for(p=0;p<3;++p){if(i[p]<n[p])n[p]=-1,i[p]=1;else{n[p]===i[p]&&(n[p]-=1,i[p]+=1);var m=.05*(i[p]-n[p]);n[p]=n[p]-m,i[p]=i[p]+m}d[0][p]=n[p],d[1][p]=i[p]}var v=!1;for(p=0;p<3;++p)v=v||G[0][p]!==d[0][p]||G[1][p]!==d[1][p],G[0][p]=d[0][p],G[1][p]=d[1][p];if(O=O||v,I=I||v){if(v){var y=[0,0,0];for(o=0;o<3;++o)y[o]=g((d[1][o]-d[0][o])/10);A.autoTicks?A.update({bounds:d,tickSpacing:y}):A.update({bounds:d})}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;F[0]=T,F[1]=k,j[0]=0|Math.max(T/N.pixelRatio,1),j[1]=0|Math.max(k/N.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,i=n.projection,a=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,c=t.zFar,u=t.fovy,p=o/s;e?(h(i,-p,p,-1,1,l,c),n._ortho=!0):(f(i,u,p,l,c),n._ortho=!1);for(var d=0;d<16;++d)a[d]=0;a[15]=1;var m=0;for(d=0;d<3;++d)m=Math.max(m,r[1][d]-r[0][d]);for(d=0;d<3;++d)t.autoScale?a[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):a[5*d]=1/m,t.autoCenter&&(a[12+d]=.5*-a[5*d]*(r[0][d]+r[1][d]))}(N,w);for(o=0;o<e;++o){(C=E[o]).axesBounds=d,N.clipToBounds&&(C.clipBounds=d)}x.object&&(N.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),O&&(O=!1,function(){if(!H()){r.colorMask(!0,!0,!0,!0),r.depthMask(!0),r.disable(r.BLEND),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL);for(var t=E.length,e=P.length,n=0;n<e;++n){var i=P[n];i.shape=j,i.begin();for(var a=0;a<t;++a)if(L[a]===n){var o=E[a];o.drawPick&&(o.pixelRatio=1,o.drawPick(R))}i.end()}}}()),N.axesPixels=a(N.axes,R,T,k),N.onrender&&N.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,k),N.clearRGBA(),r.depthMask(!0),r.colorMask(!0,!0,!0,!0),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL),r.disable(r.BLEND),r.disable(r.CULL_FACE);var M=!1;A.enable&&(M=M||A.isTransparent(),A.draw(R)),S.axes=A,x.object&&S.draw(R),r.disable(r.CULL_FACE);for(o=0;o<e;++o){(C=E[o]).axes=A,C.pixelRatio=N.pixelRatio,C.isOpaque&&C.isOpaque()&&C.draw(R),C.isTransparent&&C.isTransparent()&&(M=!0)}if(M){b.shape=F,b.bind(),r.clear(r.DEPTH_BUFFER_BIT),r.colorMask(!1,!1,!1,!1),r.depthMask(!0),r.depthFunc(r.LESS),A.enable&&A.isTransparent()&&A.drawTransparent(R);for(o=0;o<e;++o){(C=E[o]).isOpaque&&C.isOpaque()&&C.draw(R)}r.enable(r.BLEND),r.blendEquation(r.FUNC_ADD),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.colorMask(!0,!0,!0,!0),r.depthMask(!1),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),A.isTransparent()&&A.drawTransparent(R);for(o=0;o<e;++o){var C;(C=E[o]).isTransparent&&C.isTransparent()&&C.drawTransparent(R)}r.bindFramebuffer(r.FRAMEBUFFER,null),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.disable(r.DEPTH_TEST),_.bind(),b.color[0].bind(0),_.uniforms.accumBuffer=0,c(r),r.disable(r.BLEND)}I=!1;for(o=0;o<e;++o)E[o].dirty=!1}}}return N.enableMouseListeners(),function t(){if(N._stopped||N.contextLost)return;Y(),requestAnimationFrame(t)}(),N.redraw=function(){N._stopped||(I=!0,Y())},N},createCamera:n}},{\"./camera.js\":119,\"./lib/shader\":120,\"a-big-triangle\":8,\"gl-axes3d\":70,\"gl-axes3d/properties\":77,\"gl-fbo\":86,\"gl-mat4/ortho\":101,\"gl-mat4/perspective\":102,\"gl-select-static\":131,\"gl-spikes3d\":141,\"is-mobile\":238,\"mouse-change\":247}],122:[function(t,e,r){var n=t(\"glslify\");r.pointVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform float pointCloud;\\n\\nhighp float rand(vec2 co) {\\n  highp float a = 12.9898;\\n  highp float b = 78.233;\\n  highp float c = 43758.5453;\\n  highp float d = dot(co.xy, vec2(a, b));\\n  highp float e = mod(d, 3.14);\\n  return fract(sin(e) * c);\\n}\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n    // if we don't jitter the point size a bit, overall point cloud\\n    // saturation 'jumps' on zooming, which is disturbing and confusing\\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    // get the same square surface as circle would be\\n    gl_PointSize *= 0.886;\\n  }\\n}\"]),r.pointFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\nuniform float pointCloud;\\n\\nvoid main() {\\n  float radius;\\n  vec4 baseColor;\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    if(centerFraction == 1.0) {\\n      gl_FragColor = color;\\n    } else {\\n      gl_FragColor = mix(borderColor, color, centerFraction);\\n    }\\n  } else {\\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n    if(radius > 1.0) {\\n      discard;\\n    }\\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\\n  }\\n}\\n\"]),r.pickVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n  gl_PointSize = pointSize;\\n\\n  vec4 id = pickId + pickOffset;\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  fragId = id;\\n}\\n\"]),r.pickFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  gl_FragColor = fragId / 255.0;\\n}\\n\"])},{glslify:231}],123:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"typedarray-pool\"),o=t(\"./lib/shader\");function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}e.exports=function(t,e){var r=t.gl,a=i(r),l=i(r),c=n(r,o.pointVertex,o.pointFragment),u=n(r,o.pickVertex,o.pickFragment),f=new s(t,a,l,c,u);return f.update(e),t.addObject(f),f};var l,c,u=s.prototype;u.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},u.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r(\"sizeMin\",.5),this.sizeMax=r(\"sizeMax\",20),this.color=r(\"color\",[1,0,0,1]).slice(),this.areaRatio=r(\"areaRatio\",1),this.borderColor=r(\"borderColor\",[0,0,0,1]).slice(),this.blend=r(\"blend\",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),c=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e<n;e++)c[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(c),i||a.free(l),o||a.free(c),this.pointCount=n,this.pickOffset=0},u.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],c=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,i=this.plot.dataBox;if(0===this.pointCount)return t;var a=i[2]-i[0],o=i[3]-i[1],s=function(t,e){var r,n=0,i=t.length>>>1;for(r=0;r<i;r++){var a=t[2*r],o=t[2*r+1];a>=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),u=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=u<5,r.uniforms.pointSize=u,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(c[0]=255&t,c[1]=t>>8&255,c[2]=t>>16&255,c[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=c,this.pickOffset=t);var f=n.getParameter(n.BLEND),h=n.getParameter(n.DITHER);return f&&!this.blend&&n.disable(n.BLEND),h&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),f&&!this.blend&&n.enable(n.BLEND),h&&n.enable(n.DITHER),t+this.pointCount}),u.draw=u.unifiedDraw,u.drawPick=u.unifiedDraw,u.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},{\"./lib/shader\":122,\"gl-buffer\":78,\"gl-shader\":132,\"typedarray-pool\":308}],124:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c=e[0],u=e[1],f=e[2],h=e[3],p=r[0],d=r[1],m=r[2],g=r[3];(a=c*p+u*d+f*m+h*g)<0&&(a=-a,p=-p,d=-d,m=-m,g=-g);1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n);return t[0]=s*c+l*p,t[1]=s*u+l*d,t[2]=s*f+l*m,t[3]=s*h+l*g,t}},{}],125:[function(t,e,r){\"use strict\";e.exports=function(t){return t||0===t?t.toString():\"\"}},{}],126:[function(t,e,r){\"use strict\";var n=t(\"vectorize-text\");e.exports=function(t,e,r){var a=i[e];a||(a=i[e]={});if(t in a)return a[t];var o={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,c,u=n(t,o);if(r&&1!==r){for(l=0;l<s.positions.length;++l)for(c=0;c<s.positions[l].length;++c)s.positions[l][c]/=r;for(l=0;l<u.positions.length;++l)for(c=0;c<u.positions[l].length;++c)u.positions[l][c]/=r}var f=[[1/0,1/0],[-1/0,-1/0]],h=u.positions.length;for(l=0;l<h;++l){var p=u.positions[l];for(c=0;c<2;++c)f[0][c]=Math.min(f[0][c],p[c]),f[1][c]=Math.max(f[1][c],p[c])}return a[t]=[s,u,f]};var i={}},{\"vectorize-text\":311}],127:[function(t,e,r){var n=t(\"gl-shader\"),i=t(\"glslify\"),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = 1.0;\\n    if(distance(highlightId, id) < 0.0001) {\\n      scale = highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1);\\n    vec4 viewPosition = view * worldPosition;\\n    viewPosition = viewPosition / viewPosition.w;\\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = pixelRatio;\\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\\n      scale *= highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1.0);\\n    vec4 viewPosition = view * worldPosition;\\n    vec4 clipPosition = projection * viewPosition;\\n    clipPosition /= clipPosition.w;\\n\\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float lscale = pixelRatio * scale;\\n    if(distance(highlightId, id) < 0.0001) {\\n      lscale *= highlightScale;\\n    }\\n\\n    vec4 clipCenter   = projection * view * model * vec4(position, 1);\\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\n    vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = dataPosition;\\n  }\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (\\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\\n    interpColor.a * opacity == 0.\\n  ) discard;\\n  gl_FragColor = interpColor * opacity;\\n}\\n\"]),c=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\\n\\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\\n}\"]),u=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],f={vertex:a,fragment:l,attributes:u},h={vertex:o,fragment:l,attributes:u},p={vertex:s,fragment:l,attributes:u},d={vertex:a,fragment:c,attributes:u},m={vertex:o,fragment:c,attributes:u},g={vertex:s,fragment:c,attributes:u};function v(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}r.createPerspective=function(t){return v(t,f)},r.createOrtho=function(t){return v(t,h)},r.createProject=function(t){return v(t,p)},r.createPickPerspective=function(t){return v(t,d)},r.createPickOrtho=function(t){return v(t,m)},r.createPickProject=function(t){return v(t,g)}},{\"gl-shader\":132,glslify:231}],128:[function(t,e,r){\"use strict\";var n=t(\"is-string-blank\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"typedarray-pool\"),s=t(\"gl-mat4/multiply\"),l=t(\"./lib/shaders\"),c=t(\"./lib/glyphs\"),u=t(\"./lib/get-simple-string\"),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function p(t,e,r,n){return h(n,n),h(n,n),h(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function m(t){return!0===t||t>1?1:t}function g(t,e,r,n,i,a,o,s,l,c,u,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=c,this.pickOrthoShader=u,this.pickProjectShader=f,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}e.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),c=l.createPickOrtho(e),u=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),m=a(e,[{buffer:f,size:3,type:e.FLOAT},{buffer:h,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),v=new g(e,r,n,o,f,h,p,d,m,s,c,u);return v.update(t),v};var v=g.prototype;v.pickSlots=1,v.setPickBase=function(t){this.pickId=t},v.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},v.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var y=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=f.slice(),k=[0,0,0],A=[[0,0,0],[0,0,0]];function M(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}function L(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,c=r.model||f,u=r.view||f,h=r.projection||f,d=e.axesBounds,m=function(t){for(var e=A,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],y[0]=2/o.drawingBufferWidth,y[1]=2/o.drawingBufferHeight,t.bind(),l.view=u,l.projection=h,l.screenSize=y,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=m,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var g=0;g<3;++g)if(a[g]){l.scale=e.projectScale[g],l.opacity=e.projectOpacity[g];for(var v=T,L=0;L<16;++L)v[L]=0;for(L=0;L<4;++L)v[5*L]=1;v[5*g]=0,i[g]<0?v[12+g]=d[0][g]:v[12+g]=d[1][g],s(v,c,v),l.model=v;var C=(g+1)%3,P=(g+2)%3,I=M(x),O=M(b);I[C]=1,O[P]=1;var z=p(0,0,0,S(_,I)),D=p(0,0,0,S(w,O));if(Math.abs(z[1])>Math.abs(D[1])){var R=z;z=D,D=R,R=I,I=O,O=R;var F=C;C=P,P=F}z[0]<0&&(I[C]=-1),D[1]>0&&(O[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(c[4*C+L],2),N+=Math.pow(c[4*P+L],2);I[C]/=Math.sqrt(B),O[P]/=Math.sqrt(N),l.axes[0]=I,l.axes[1]=O,l.fragClipBounds[0]=E(k,m[0],g,-1e8),l.fragClipBounds[1]=E(k,m[1],g,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}var C=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function P(t,e,r,n,i,a,o){var s=r.gl;if((a===r.projectHasAlpha||o)&&L(e,r,n,i),a===r.hasAlpha||o){t.bind();var l=t.uniforms;l.model=n.model||f,l.view=n.view||f,l.projection=n.projection||f,y[0]=2/s.drawingBufferWidth,y[1]=2/s.drawingBufferHeight,l.screenSize=y,l.highlightId=r.highlightId,l.highlightScale=r.highlightScale,l.fragClipBounds=C,l.clipBounds=r.axes.bounds,l.opacity=r.opacity,l.pickGroup=r.pickId/255,l.pixelRatio=i,r.vao.bind(),r.vao.draw(s.TRIANGLES,r.vertexCount),r.lineWidth>0&&(s.lineWidth(r.lineWidth*i),r.vao.draw(s.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function I(t,e,r,i){var a;a=Array.isArray(t)?e<t.length?t[e]:void 0:t,a=u(a);var o=!0;n(a)&&(a=\"\\u25bc\",o=!1);var s=c(a,r,i);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}v.draw=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},v.drawTransparent=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},v.drawPick=function(t){P(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},v.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},v.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},v.update=function(t){if(\"perspective\"in(t=t||{})&&(this.useOrtho=!t.perspective),\"orthographic\"in t&&(this.useOrtho=!!t.orthographic),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"project\"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if(\"projectScale\"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,\"projectOpacity\"in t){if(Array.isArray(t.projectOpacity))this.projectOpacity=t.projectOpacity.slice();else{r=+t.projectOpacity;this.projectOpacity=[r,r,r]}for(var n=0;n<3;++n)this.projectOpacity[n]=m(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=m(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l=t.font||\"normal\",c=t.alignment||[0,0];if(2===c.length)i=c[0],a=c[1];else{i=[],a=[];for(n=0;n<c.length;++n)i[n]=c[n][0],a[n]=c[n][1]}var u=[1/0,1/0,1/0],f=[-1/0,-1/0,-1/0],h=t.glyph,p=t.color,d=t.size,g=t.angle,v=t.lineColor,y=-1,x=0,b=0,_=0;if(s.length){_=s.length;t:for(n=0;n<_;++n){for(var w=s[n],T=0;T<3;++T)if(isNaN(w[T])||!isFinite(w[T]))continue t;var k=(N=I(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;x+=3*k.cells.length,b+=2*A.edges.length}}var S=x+b,E=o.mallocFloat(3*S),L=o.mallocFloat(4*S),C=o.mallocFloat(2*S),P=o.mallocUint32(S);if(S>0){var O=0,z=x,D=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(v)&&Array.isArray(v[0]);t:for(n=0;n<_;++n){y+=1;for(w=s[n],T=0;T<3;++T){if(isNaN(w[T])||!isFinite(w[T]))continue t;f[T]=Math.max(f[T],w[T]),u[T]=Math.min(u[T],w[T])}k=(N=I(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(U=F?n<p.length?p[n]:[0,0,0,0]:p).length){for(T=0;T<3;++T)D[T]=U[T];D[3]=1}else if(4===U.length){for(T=0;T<4;++T)D[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else D[0]=D[1]=D[2]=0,D[3]=1;else D=[1,1,1,0];if(j)if(Array.isArray(v)){var U;if(3===(U=B?n<v.length?v[n]:[0,0,0,0]:v).length){for(T=0;T<3;++T)R[T]=U[T];R[T]=1}else if(4===U.length){for(T=0;T<4;++T)R[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else R[0]=R[1]=R[2]=0,R[3]=1;else R=[1,1,1,0];var V=.5;j?Array.isArray(d)?V=n<d.length?+d[n]:12:d?V=+d:this.useOrtho&&(V=12):V=0;var H=0;Array.isArray(g)?H=n<g.length?+g[n]:0:g&&(H=+g);var q=Math.cos(H),G=Math.sin(H);for(w=s[n],T=0;T<3;++T)f[T]=Math.max(f[T],w[T]),u[T]=Math.min(u[T],w[T]);var Y=i,W=a;Y=0;Array.isArray(i)?Y=n<i.length?i[n]:0:i&&(Y=i);W=0;Array.isArray(a)?W=n<a.length?a[n]:0:a&&(W=a);var X=[Y*=Y>0?1-M[0][0]:Y<0?1+M[1][0]:1,W*=W>0?1-M[0][1]:W<0?1+M[1][1]:1],Z=k.cells||[],J=k.positions||[];for(T=0;T<Z.length;++T)for(var K=Z[T],Q=0;Q<3;++Q){for(var $=0;$<3;++$)E[3*O+$]=w[$];for($=0;$<4;++$)L[4*O+$]=D[$];P[O]=y;var tt=J[K[Q]];C[2*O]=V*(q*tt[0]-G*tt[1]+X[0]),C[2*O+1]=V*(G*tt[0]+q*tt[1]+X[1]),O+=1}for(Z=A.edges,J=A.positions,T=0;T<Z.length;++T)for(K=Z[T],Q=0;Q<2;++Q){for($=0;$<3;++$)E[3*z+$]=w[$];for($=0;$<4;++$)L[4*z+$]=R[$];P[z]=y;tt=J[K[Q]];C[2*z]=V*(q*tt[0]-G*tt[1]+X[0]),C[2*z+1]=V*(G*tt[0]+q*tt[1]+X[1]),z+=1}}}this.bounds=[u,f],this.points=s,this.pointCount=s.length,this.vertexCount=x,this.lineVertexCount=b,this.pointBuffer.update(E),this.colorBuffer.update(L),this.glyphBuffer.update(C),this.idBuffer.update(P),o.free(E),o.free(L),o.free(C),o.free(P)},v.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()}},{\"./lib/get-simple-string\":125,\"./lib/glyphs\":126,\"./lib/shaders\":127,\"gl-buffer\":78,\"gl-mat4/multiply\":100,\"gl-vao\":150,\"is-string-blank\":239,\"typedarray-pool\":308}],129:[function(t,e,r){\"use strict\";var n=t(\"glslify\");r.boxVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 vertex;\\n\\nuniform vec2 cornerA, cornerB;\\n\\nvoid main() {\\n  gl_Position = vec4(mix(cornerA, cornerB, vertex), 0, 1);\\n}\\n\"]),r.boxFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  gl_FragColor = color;\\n}\\n\"])},{glslify:231}],130:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"./lib/shaders\");function o(t,e,r){this.plot=t,this.boxBuffer=e,this.boxShader=r,this.enabled=!0,this.selectBox=[1/0,1/0,-1/0,-1/0],this.borderColor=[0,0,0,1],this.innerFill=!1,this.innerColor=[0,0,0,.25],this.outerFill=!0,this.outerColor=[0,0,0,.5],this.borderWidth=10}e.exports=function(t,e){var r=t.gl,s=i(r,[0,0,0,1,1,0,1,1]),l=n(r,a.boxVertex,a.boxFragment),c=new o(t,s,l);return c.update(e),t.addOverlay(c),c};var s=o.prototype;s.draw=function(){if(this.enabled){var t=this.plot,e=this.selectBox,r=this.borderWidth,n=(this.innerFill,this.innerColor),i=(this.outerFill,this.outerColor),a=this.borderColor,o=t.box,s=t.screenBox,l=t.dataBox,c=t.viewBox,u=t.pixelRatio,f=(e[0]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],h=(e[1]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1],p=(e[2]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],d=(e[3]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1];if(f=Math.max(f,c[0]),h=Math.max(h,c[1]),p=Math.min(p,c[2]),d=Math.min(d,c[3]),!(p<f||d<h)){o.bind();var m=s[2]-s[0],g=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,m,h,i),o.drawBox(0,h,f,d,i),o.drawBox(0,d,m,g,i),o.drawBox(p,h,m,d,i)),this.innerFill&&o.drawBox(f,h,p,d,n),r>0){var v=r*u;o.drawBox(f-v,h-v,p+v,h+v,a),o.drawBox(f-v,d-v,p+v,d+v,a),o.drawBox(f-v,h-v,f+v,d+v,a),o.drawBox(p-v,h-v,p+v,d+v,a)}}}},s.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},{\"./lib/shaders\":129,\"gl-buffer\":78,\"gl-shader\":132}],131:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=e[0],a=e[1],o=n(t,r,a,{}),s=i.mallocUint8(r*a*4);return new l(t,o,s)};var n=t(\"gl-fbo\"),i=t(\"typedarray-pool\"),a=t(\"ndarray\"),o=t(\"bit-twiddle\").nextPow2;function s(t,e,r,n,i){this.coord=[t,e],this.id=r,this.value=n,this.distance=i}function l(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var n=this;this._readCallback=function(){n.gl&&(e.bind(),t.readPixels(0,0,e.shape[0],e.shape[1],t.RGBA,t.UNSIGNED_BYTE,n.buffer),n._readTimeout=null)}}var c=l.prototype;Object.defineProperty(c,\"shape\",{get:function(){return this.gl?this.fbo.shape.slice():[0,0]},set:function(t){if(this.gl){this.fbo.shape=t;var e=this.fbo.shape[0],r=this.fbo.shape[1];if(r*e*4>this.buffer.length){i.free(this.buffer);for(var n=this.buffer=i.mallocUint8(o(r*e*4)),a=0;a<r*e*4;++a)n[a]=255}return t}}}),c.begin=function(){var t=this.gl;this.shape;t&&(this.fbo.bind(),t.clearColor(1,1,1,1),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT))},c.end=function(){var t=this.gl;t&&(t.bindFramebuffer(t.FRAMEBUFFER,null),this._readTimeout||clearTimeout(this._readTimeout),this._readTimeout=setTimeout(this._readCallback,1))},c.query=function(t,e,r){if(!this.gl)return null;var n=this.fbo.shape.slice();t|=0,e|=0,\"number\"!=typeof r&&(r=1);var i=0|Math.min(Math.max(t-r,0),n[0]),o=0|Math.min(Math.max(t+r,0),n[0]),l=0|Math.min(Math.max(e-r,0),n[1]),c=0|Math.min(Math.max(e+r,0),n[1]);if(o<=i||c<=l)return null;var u=[o-i,c-l],f=a(this.buffer,[u[0],u[1],4],[4,4*n[0],1],4*(i+n[0]*l)),h=function(t,e,r){for(var n=1e8,i=-1,a=-1,o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var c=0;c<s;c++){var u=t.get(l,c,0),f=t.get(l,c,1),h=t.get(l,c,2),p=t.get(l,c,3);if(u<255||f<255||h<255||p<255){var d=e-l,m=r-c,g=d*d+m*m;g<n&&(n=g,i=l,a=c)}}return[i,a,n]}(f.hi(u[0],u[1],1),r,r),p=h[0],d=h[1];return p<0||Math.pow(this.radius,2)<h[2]?null:new s(p+i|0,d+l|0,f.get(p,d,0),[f.get(p,d,1),f.get(p,d,2),f.get(p,d,3)],Math.sqrt(h[2]))},c.dispose=function(){this.gl&&(this.fbo.dispose(),i.free(this.buffer),this.gl=null,this._readTimeout&&clearTimeout(this._readTimeout))}},{\"bit-twiddle\":32,\"gl-fbo\":86,ndarray:259,\"typedarray-pool\":308}],132:[function(t,e,r){\"use strict\";var n=t(\"./lib/create-uniforms\"),i=t(\"./lib/create-attributes\"),a=t(\"./lib/reflect\"),o=t(\"./lib/shader-cache\"),s=t(\"./lib/runtime-reflect\"),l=t(\"./lib/GLError\");function c(t){this.gl=t,this.gl.lastAttribCount=0,this._vref=this._fref=this._relink=this.vertShader=this.fragShader=this.program=this.attributes=this.uniforms=this.types=null}var u=c.prototype;function f(t,e){return t.name<e.name?-1:1}u.bind=function(){var t;this.program||this._relink();var e=this.gl.getProgramParameter(this.program,this.gl.ACTIVE_ATTRIBUTES),r=this.gl.lastAttribCount;if(e>r)for(t=r;t<e;t++)this.gl.enableVertexAttribArray(t);else if(r>e)for(t=e;t<r;t++)this.gl.disableVertexAttribArray(t);this.gl.lastAttribCount=e,this.gl.useProgram(this.program)},u.dispose=function(){for(var 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w=c[y];if(w.type.indexOf(\"mat\")>=0){for(var T=0|w.type.charAt(w.type.length-1),k=new Array(T),A=0;A<T;++A)k[A]=_.length,b.push(w.name+\"[\"+A+\"]\"),\"number\"==typeof w.location?_.push(w.location+A):Array.isArray(w.location)&&w.location.length===T&&\"number\"==typeof w.location[A]?_.push(0|w.location[A]):_.push(-1);x.push({name:w.name,type:w.type,locations:k})}else x.push({name:w.name,type:w.type,locations:[_.length]}),b.push(w.name),\"number\"==typeof w.location?_.push(0|w.location):_.push(-1)}var M=0;for(y=0;y<_.length;++y)if(_[y]<0){for(;_.indexOf(M)>=0;)M+=1;_[y]=M}var S=new Array(r.length);function E(){h.program=o.program(p,h._vref,h._fref,b,_);for(var t=0;t<r.length;++t)S[t]=p.getUniformLocation(h.program,r[t].name)}E(),h._relink=E,h.types={uniforms:a(r),attributes:a(c)},h.attributes=i(p,h,x,_),Object.defineProperty(h,\"uniforms\",n(p,h,r,S))},e.exports=function(t,e,r,n,i){var a=new c(t);return 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h=c,p=u,d=0;d<3;++d)i&&i[d]<0?(h[d]=this.bounds[0][d],p[d]=this.bounds[1][d]):(h[d]=this.bounds[1][d],p[d]=this.bounds[0][d]);f[0]=e.drawingBufferWidth,f[1]=e.drawingBufferHeight,n.uniforms.model=a,n.uniforms.view=s,n.uniforms.projection=l,n.uniforms.coordinates=[this.position,h,p],n.uniforms.colors=this.colors,n.uniforms.screenShape=f;for(d=0;d<3;++d)n.uniforms.lineWidth=this.lineWidth[d]*this.pixelRatio,this.enabled[d]&&(r.draw(e.TRIANGLES,6,6*d),this.drawSides[d]&&r.draw(e.TRIANGLES,12,18+12*d));r.unbind()},l.update=function(t){t&&(\"bounds\"in t&&(this.bounds=t.bounds),\"position\"in t&&(this.position=t.position),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"colors\"in t&&(this.colors=t.colors),\"enabled\"in t&&(this.enabled=t.enabled),\"drawSides\"in t&&(this.drawSides=t.drawSides))},l.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders/index\":140,\"gl-buffer\":78,\"gl-vao\":150}],142:[function(t,e,r){var n=t(\"glslify\"),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, tubeScale;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * tubePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(tubePosition, 1.0);\\n  vec4 t_position  = view * tubePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = tubePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float tubeScale;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  gl_Position = projection * view * tubePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]}},{glslify:231}],143:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\"),i=t(\"gl-vec4\"),a=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],o=function(t,e,r,a){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,c=0;c<l.length;c++)o=Math.max(o,n.length(l[c]));var u=t.map((function(t){return function(t,e,r,a){for(var o=t.points,s=t.velocities,l=t.divergences,c=[],u=[],f=[],h=[],p=[],d=[],m=0,g=0,v=i.create(),y=i.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),g=n.length(_)/a,v=i.create(),n.copy(v,_),v[3]=w;for(var T=0;T<8;T++)p[T]=[b[0],b[1],b[2],T];if(h.length>0)for(T=0;T<8;T++){var k=(T+1)%8;c.push(h[T],p[T],p[k],p[k],h[k],h[T]),f.push(y,v,v,v,y,y),d.push(m,g,g,g,m,m);var A=c.length;u.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=h;h=p,p=M;var S=y;y=v,v=S;var E=m;m=g,g=E}return{positions:c,cells:u,vectors:f,vertexIntensity:d}}(t,r,a,o)})),f=[],h=[],p=[],d=[];for(s=0;s<u.length;s++){var m=u[s],g=f.length;f=f.concat(m.positions),p=p.concat(m.vectors),d=d.concat(m.vertexIntensity);for(c=0;c<m.cells.length;c++){var v=m.cells[c],y=[];h.push(y);for(var x=0;x<v.length;x++)y.push(v[x]+g)}}return{positions:f,cells:h,vectors:p,vertexIntensity:d,colormap:e}},s=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var i=t[r];if(i===e)return r;if(i>e)return r-1}return r},l=function(t,e,r){return t<e?e:t>r?r:t},c=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;n<r;n++){var i=Math.abs(t[n]-t[n-1]);i<e&&(e=i)}return e};e.exports=function(t,e){var r=t.startingPositions,i=t.maxLength||1e3,u=t.tubeSize||1,f=t.absoluteTubeSize,h=t.gridFill||\"+x+y+z\",p={};-1!==h.indexOf(\"-x\")&&(p.reversedX=!0),-1!==h.indexOf(\"-y\")&&(p.reversedY=!0),-1!==h.indexOf(\"-z\")&&(p.reversedZ=!0),p.filled=a.indexOf(h.replace(/-/g,\"\").replace(/\\+/g,\"\"));var d=t.getVelocity||function(e){return function(t,e,r){var i=e.vectors,a=e.meshgrid,o=t[0],c=t[1],u=t[2],f=a[0].length,h=a[1].length,p=a[2].length,d=s(a[0],o),m=s(a[1],c),g=s(a[2],u),v=d+1,y=m+1,x=g+1;if(d=l(d,0,f-1),v=l(v,0,f-1),m=l(m,0,h-1),y=l(y,0,h-1),g=l(g,0,p-1),x=l(x,0,p-1),d<0||m<0||g<0||v>f-1||y>h-1||x>p-1)return n.create();var b,_,w,T,k,A,M=a[0][d],S=a[0][v],E=a[1][m],L=a[1][y],C=a[2][g],P=(o-M)/(S-M),I=(c-E)/(L-E),O=(u-C)/(a[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(I)||(I=.5),isFinite(O)||(O=.5),r.reversedX&&(d=f-1-d,v=f-1-v),r.reversedY&&(m=h-1-m,y=h-1-y),r.reversedZ&&(g=p-1-g,x=p-1-x),r.filled){case 5:k=g,A=x,w=m*p,T=y*p,b=d*p*h,_=v*p*h;break;case 4:k=g,A=x,b=d*p,_=v*p,w=m*p*f,T=y*p*f;break;case 3:w=m,T=y,k=g*h,A=x*h,b=d*h*p,_=v*h*p;break;case 2:w=m,T=y,b=d*h,_=v*h,k=g*h*f,A=x*h*f;break;case 1:b=d,_=v,k=g*f,A=x*f,w=m*f*p,T=y*f*p;break;default:b=d,_=v,w=m*f,T=y*f,k=g*f*h,A=x*f*h}var z=i[b+w+k],D=i[b+w+A],R=i[b+T+k],F=i[b+T+A],B=i[_+w+k],N=i[_+w+A],j=i[_+T+k],U=i[_+T+A],V=n.create(),H=n.create(),q=n.create(),G=n.create();n.lerp(V,z,B,P),n.lerp(H,D,N,P),n.lerp(q,R,j,P),n.lerp(G,F,U,P);var Y=n.create(),W=n.create();n.lerp(Y,V,q,I),n.lerp(W,H,G,I);var X=n.create();return n.lerp(X,Y,W,O),X}(e,t,p)},m=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},g=[],v=e[0][0],y=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(e<v||e>b||r<y||r>_||n<x||n>w)},k=10*n.distance(e[0],e[1])/i,A=k*k,M=1,S=0,E=r.length;E>1&&(M=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,l=0;l<s;l++){var u=t[l],f=u[0],h=u[1],p=u[2];i[f]||(e.push(f),i[f]=!0),a[h]||(r.push(h),a[h]=!0),o[p]||(n.push(p),o[p]=!0)}var d=c(e),m=c(r),g=c(n),v=Math.min(d,m,g);return isFinite(v)?v:1}(r));for(var L=0;L<E;L++){var C=n.create();n.copy(C,r[L]);var P=[C],I=[],O=d(C),z=C;I.push(O);var D=[],R=m(C,O),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F),g.push({points:P,velocities:I,divergences:D});for(var B=0;B<100*i&&P.length<i&&T(C);){B++;var N=n.clone(O),j=n.squaredLength(N);if(0===j)break;if(j>A&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,C),O=d(N),n.squaredDistance(z,N)-A>-1e-4*A){P.push(N),z=N,I.push(O);R=m(N,O),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F)}C=N}}var U=o(g,t.colormap,S,M);return f?U.tubeScale=f:(0===S&&(S=1),U.tubeScale=.5*u*M/S),U};var u=t(\"./lib/shaders\"),f=t(\"gl-cone3d\").createMesh;e.exports.createTubeMesh=function(t,e){return f(t,e,{shaders:u,traceType:\"streamtube\"})}},{\"./lib/shaders\":142,\"gl-cone3d\":79,\"gl-vec3\":169,\"gl-vec4\":205}],144:[function(t,e,r){var n=t(\"gl-shader\"),i=t(\"glslify\"),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\nuniform vec3 objectOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 lightPosition, eyePosition;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 localCoordinate = vec3(uv.zw, f.x);\\n  worldCoordinate = objectOffset + localCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n  vec4 clipPosition = projection * view * worldPosition;\\n  gl_Position = clipPosition;\\n  kill = f.y;\\n  value = f.z;\\n  planeCoordinate = uv.xy;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * worldPosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  lightDirection = lightPosition - cameraCoordinate.xyz;\\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\\n}\\n\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat beckmannSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness) {\\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 lowerBound, upperBound;\\nuniform float contourTint;\\nuniform vec4 contourColor;\\nuniform sampler2D colormap;\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform float vertexColor;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  if (\\n    kill > 0.0 ||\\n    vColor.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\\n  ) discard;\\n\\n  vec3 N = normalize(surfaceNormal);\\n  vec3 V = normalize(eyeDirection);\\n  vec3 L = normalize(lightDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  //decide how to interpolate color \\u2014 in vertex or in fragment\\n  vec4 surfaceColor =\\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\\n    step(.5, vertexColor) * vColor;\\n\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\\n}\\n\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\nuniform vec3 objectOffset;\\nuniform mat3 permutation;\\nuniform mat4 model, view, projection;\\nuniform float height, zOffset;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\\n  worldCoordinate = objectOffset + dataCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n\\n  vec4 clipPosition = projection * view * worldPosition;\\n  clipPosition.z += zOffset;\\n\\n  gl_Position = clipPosition;\\n  value = f + objectOffset.z;\\n  kill = -1.0;\\n  planeCoordinate = uv.zw;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Don't do lighting for contours\\n  surfaceNormal   = vec3(1,0,0);\\n  eyeDirection    = vec3(0,1,0);\\n  lightDirection  = vec3(0,0,1);\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec2 shape;\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 surfaceNormal;\\n\\nvec2 splitFloat(float v) {\\n  float vh = 255.0 * v;\\n  float upper = floor(vh);\\n  float lower = fract(vh);\\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\\n}\\n\\nvoid main() {\\n  if ((kill > 0.0) ||\\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\n\\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\\n}\\n\"]);r.createShader=function(t){var e=n(t,a,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createPickShader=function(t){var e=n(t,a,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createContourShader=function(t){var e=n(t,s,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},r.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},{\"gl-shader\":132,glslify:231}],145:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=y(e),n=b(e),s=x(e),l=_(e),c=i(e),u=a(e,[{buffer:c,size:4,stride:40,offset:0},{buffer:c,size:3,stride:40,offset:16},{buffer:c,size:3,stride:40,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),m=o(e,1,256,e.RGBA,e.UNSIGNED_BYTE);m.minFilter=e.LINEAR,m.magFilter=e.LINEAR;var g=new M(e,[0,0],[[0,0,0],[0,0,0]],r,n,c,u,m,s,l,f,h,p,d,[0,0,0]),v={levels:[[],[],[]]};for(var w in t)v[w]=t[w];return v.colormap=v.colormap||\"jet\",g.update(v),g};var n=t(\"bit-twiddle\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"typedarray-pool\"),l=t(\"colormap\"),c=t(\"ndarray-ops\"),u=t(\"ndarray-pack\"),f=t(\"ndarray\"),h=t(\"surface-nets\"),p=t(\"gl-mat4/multiply\"),d=t(\"gl-mat4/invert\"),m=t(\"binary-search-bounds\"),g=t(\"ndarray-gradient\"),v=t(\"./lib/shaders\"),y=v.createShader,x=v.createContourShader,b=v.createPickShader,_=v.createPickContourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],T=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],k=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function A(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t<3;++t){var e=k[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();function M(t,e,r,n,i,a,o,l,c,u,h,p,d,m,g){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=g,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=c,this._contourPickShader=u,this._contourBuffer=h,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new A([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=m,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var S=M.prototype;S.genColormap=function(t,e){var r=!1,n=u([l({colormap:t,nshades:256,format:\"rgba\"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return c.divseq(n,255),this.hasAlphaScale=r,n},S.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},S.isOpaque=function(){return!this.isTransparent()},S.pickSlots=1,S.setPickBase=function(t){this.pickId=t};var E=[0,0,0],L={showSurface:!1,showContour:!1,projections:[w.slice(),w.slice(),w.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function C(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||E,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=L.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var c=L.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)c[i][n]=t.clipBounds[i][n];c[0][r]=-1e8,c[1][r]=1e8}return L.showSurface=o,L.showContour=s,L}var P={model:w,view:w,projection:w,inverseModel:w.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},I=w.slice(),O=[1,0,0,0,1,0,0,0,1];function z(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=P;n.model=t.model||w,n.view=t.view||w,n.projection=t.projection||w,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=O,n.vertexColor=this.vertexColor;var s=I;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var c=s[12+i];for(o=0;o<3;++o)c+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=c/l}var u=C(n,this);if(u.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=u.projections[i],this._shader.uniforms.clipBounds=u.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(u.showContour){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var h=this._contourVAO;for(h.bind(),i=0;i<3;++i)for(f.uniforms.permutation=k[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o<this.contourLevels[i].length;++o)o===this.highlightLevel[i]?(f.uniforms.contourColor=this.highlightColor[i],f.uniforms.contourTint=this.highlightTint[i]):0!==o&&o-1!==this.highlightLevel[i]||(f.uniforms.contourColor=this.contourColor[i],f.uniforms.contourTint=this.contourTint[i]),this._contourCounts[i][o]&&(f.uniforms.height=this.contourLevels[i][o],h.draw(r.LINES,this._contourCounts[i][o],this._contourOffsets[i][o]));for(i=0;i<3;++i)for(f.uniforms.model=u.projections[i],f.uniforms.clipBounds=u.clipBounds[i],o=0;o<3;++o)if(this.contourProject[i][o]){f.uniforms.permutation=k[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var m=0;m<this.contourLevels[o].length;++m)m===this.highlightLevel[o]?(f.uniforms.contourColor=this.highlightColor[o],f.uniforms.contourTint=this.highlightTint[o]):0!==m&&m-1!==this.highlightLevel[o]||(f.uniforms.contourColor=this.contourColor[o],f.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][m]&&(f.uniforms.height=this.contourLevels[o][m],h.draw(r.LINES,this._contourCounts[o][m],this._contourOffsets[o][m]))}for(h.unbind(),(h=this._dynamicVAO).bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(f.uniforms.model=n.model,f.uniforms.clipBounds=n.clipBounds,f.uniforms.permutation=k[i],r.lineWidth(this.dynamicWidth[i]*this.pixelRatio),f.uniforms.contourColor=this.dynamicColor[i],f.uniforms.contourTint=this.dynamicTint[i],f.uniforms.height=this.dynamicLevel[i],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),o=0;o<3;++o)this.contourProject[o][i]&&(f.uniforms.model=u.projections[o],f.uniforms.clipBounds=u.clipBounds[o],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));h.unbind()}}S.draw=function(t){return z.call(this,t,!1)},S.drawTransparent=function(t){return z.call(this,t,!0)};var D={model:w,view:w,projection:w,inverseModel:w,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function R(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function F(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function B(t){if(Array.isArray(t)){if(Array.isArray(t))return[F(t[0]),F(t[1]),F(t[2])];var e=F(t);return[e.slice(),e.slice(),e.slice()]}}S.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=D;r.model=t.model||w,r.view=t.view||w,r.projection=t.projection||w,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=O;for(var n=0;n<2;++n)for(var i=r.clipBounds[n],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var o=C(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]*this.pixelRatio),s.uniforms.permutation=k[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(s.uniforms.height=this.contourLevels[a][n],l.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){s.uniforms.permutation=k[a],e.lineWidth(this.contourWidth[a]*this.pixelRatio);for(var c=0;c<this.contourLevels[a].length;++c)this._contourCounts[a][c]&&(s.uniforms.height=this.contourLevels[a][c],l.draw(e.LINES,this._contourCounts[a][c],this._contourOffsets[a][c]))}l.unbind()}},S.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var c=r.position;c[0]=c[1]=c[2]=0;for(var u=0;u<2;++u)for(var f=u?a:1-a,h=0;h<2;++h)for(var p=i+u,d=s+h,g=f*(h?l:1-l),v=0;v<3;++v)c[v]+=this._field[v].get(p,d)*g;for(var y=this._pickResult.level,x=0;x<3;++x)if(y[x]=m.le(this.contourLevels[x],c[x]),y[x]<0)this.contourLevels[x].length>0&&(y[x]=0);else if(y[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][y[x]],_=this.contourLevels[x][y[x]+1];Math.abs(b-c[x])>Math.abs(_-c[x])&&(y[x]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],v=0;v<3;++v)r.dataCoordinate[v]=this._field[v].get(r.index[0],r.index[1]);return r},S.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();c.assign(t.lo(1,1).hi(r[0],r[1]),e),c.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),c.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),c.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),c.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},S.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=R(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=R(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=R(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=B(t.contourColor)),\"contourProject\"in t&&(this.contourProject=R(t.contourProject,(function(t){return R(t,Boolean)}))),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=B(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=R(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=R(t.dynamicWidth,Number)),\"opacity\"in t&&(this.opacity=t.opacity),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0),\"colormap\"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),\"field\"in t||\"coords\"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=f(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var c=l[o];for(v=0;v<2;++v)if(c.shape[v]!==a[v])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[o],c)}}else if(t.ticks){var u=t.ticks;if(!Array.isArray(u)||2!==u.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var p=u[o];if((Array.isArray(p)||p.length)&&(p=f(p)),p.shape[0]!==a[o])throw new Error(\"gl-surface: invalid tick length\");var d=f(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var m=[0,0];m[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],m,0)}this._field[0].set(0,0,0);for(var v=0;v<a[0];++v)this._field[0].set(v+1,0,v);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),v=0;v<a[1];++v)this._field[1].set(0,v+1,v);this._field[1].set(0,a[1]+1,a[1]-1)}var y=this._field,x=f(s.mallocFloat(3*y[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)g(x.pick(o),y[o],\"mirror\");var b=f(s.mallocFloat(3*y[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(v=0;v<a[1]+2;++v){var _=x.get(0,o,v,0),w=x.get(0,o,v,1),k=x.get(1,o,v,0),A=x.get(1,o,v,1),M=x.get(2,o,v,0),S=x.get(2,o,v,1),E=k*S-A*M,L=M*w-S*_,C=_*A-w*k,P=Math.sqrt(E*E+L*L+C*C);P<1e-8?(P=Math.max(Math.abs(E),Math.abs(L),Math.abs(C)))<1e-8?(C=1,L=E=0,P=1):P=1/P:P=1/Math.sqrt(P),b.set(o,v,0,E*P),b.set(o,v,1,L*P),b.set(o,v,2,C*P)}s.free(x.data);var I=[1/0,1/0,1/0],O=[-1/0,-1/0,-1/0],z=1/0,D=-1/0,F=(a[0]-1)*(a[1]-1)*6,N=s.mallocFloat(n.nextPow2(10*F)),j=0,U=0;for(o=0;o<a[0]-1;++o)t:for(v=0;v<a[1]-1;++v){for(var V=0;V<2;++V)for(var H=0;H<2;++H)for(var q=0;q<3;++q){var G=this._field[q].get(1+o+V,1+v+H);if(isNaN(G)||!isFinite(G))continue t}for(q=0;q<6;++q){var Y=o+T[q][0],W=v+T[q][1],X=this._field[0].get(Y+1,W+1),Z=this._field[1].get(Y+1,W+1);G=this._field[2].get(Y+1,W+1),E=b.get(Y+1,W+1,0),L=b.get(Y+1,W+1,1),C=b.get(Y+1,W+1,2),t.intensity&&(J=t.intensity.get(Y,W));var J=t.intensity?t.intensity.get(Y,W):G+this.objectOffset[2];N[j++]=Y,N[j++]=W,N[j++]=X,N[j++]=Z,N[j++]=G,N[j++]=0,N[j++]=J,N[j++]=E,N[j++]=L,N[j++]=C,I[0]=Math.min(I[0],X+this.objectOffset[0]),I[1]=Math.min(I[1],Z+this.objectOffset[1]),I[2]=Math.min(I[2],G+this.objectOffset[2]),z=Math.min(z,J),O[0]=Math.max(O[0],X+this.objectOffset[0]),O[1]=Math.max(O[1],Z+this.objectOffset[1]),O[2]=Math.max(O[2],G+this.objectOffset[2]),D=Math.max(D,J),U+=1}}for(t.intensityBounds&&(z=+t.intensityBounds[0],D=+t.intensityBounds[1]),o=6;o<j;o+=10)N[o]=(N[o]-z)/(D-z);this._vertexCount=U,this._coordinateBuffer.update(N.subarray(0,j)),s.freeFloat(N),s.free(b.data),this.bounds=[I,O],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===z&&this.intensityBounds[1]===D||(r=!0),this.intensityBounds=[z,D]}if(\"levels\"in t){var K=t.levels;for(K=Array.isArray(K[0])?K.slice():[[],[],K],o=0;o<3;++o)K[o]=K[o].slice(),K[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(v=0;v<K[o].length;++v)K[o][v]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(K[o].length!==this.contourLevels[o].length){r=!0;break}for(v=0;v<K[o].length;++v)if(K[o][v]!==this.contourLevels[o][v]){r=!0;break t}}this.contourLevels=K}if(r){y=this._field,a=this.shape;for(var Q=[],$=0;$<3;++$){var tt=this.contourLevels[$],et=[],rt=[],nt=[0,0,0];for(o=0;o<tt.length;++o){var it=h(this._field[$],tt[o]);et.push(Q.length/5|0),U=0;t:for(v=0;v<it.cells.length;++v){var at=it.cells[v];for(q=0;q<2;++q){var ot=it.positions[at[q]],st=ot[0],lt=0|Math.floor(st),ct=st-lt,ut=ot[1],ft=0|Math.floor(ut),ht=ut-ft,pt=!1;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var mt=($+dt+1)%3;for(V=0;V<2;++V){var gt=V?ct:1-ct;for(Y=0|Math.min(Math.max(lt+V,0),a[0]),H=0;H<2;++H){var vt=H?ht:1-ht;if(W=0|Math.min(Math.max(ft+H,0),a[1]),G=dt<2?this._field[mt].get(Y,W):(this.intensity.get(Y,W)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(G)||isNaN(G)){pt=!0;break e}var yt=gt*vt;nt[dt]+=yt*G}}}if(pt){if(q>0){for(var xt=0;xt<5;++xt)Q.pop();U-=1}continue t}Q.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[$]=et,this._contourCounts[$]=rt}var bt=s.mallocFloat(Q.length);for(o=0;o<Q.length;++o)bt[o]=Q[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},S.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},S.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,c=(o+2)%3,u=this._field[o],f=this._field[l],p=this._field[c],d=h(u,r[o]),m=d.cells,g=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<m.length;++e)for(var v=m[e],y=0;y<2;++y){var x=g[v[y]],b=+x[0],_=0|b,w=0|Math.min(_+1,i[0]),T=b-_,k=1-T,A=+x[1],M=0|A,S=0|Math.min(M+1,i[1]),E=A-M,L=1-E,C=k*L,P=k*E,I=T*L,O=T*E,z=C*f.get(_,M)+P*f.get(_,S)+I*f.get(w,M)+O*f.get(w,S),D=C*p.get(_,M)+P*p.get(_,S)+I*p.get(w,M)+O*p.get(w,S);if(isNaN(z)||isNaN(D)){y&&(n-=1);break}a[2*n+0]=z,a[2*n+1]=D,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),s.freeFloat(a)}}},{\"./lib/shaders\":144,\"binary-search-bounds\":31,\"bit-twiddle\":32,colormap:53,\"gl-buffer\":78,\"gl-mat4/invert\":98,\"gl-mat4/multiply\":100,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259,\"ndarray-gradient\":252,\"ndarray-ops\":254,\"ndarray-pack\":255,\"surface-nets\":302,\"typedarray-pool\":308}],146:[function(t,e,r){\"use strict\";var n=t(\"ndarray\"),i=t(\"ndarray-ops\"),a=t(\"typedarray-pool\");e.exports=function(t){if(arguments.length<=1)throw new Error(\"gl-texture2d: Missing arguments for texture2d constructor\");o||c(t);if(\"number\"==typeof arguments[1])return v(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return v(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(\"object\"==typeof arguments[1]){var e=arguments[1],r=u(e)?e:e.raw;if(r)return y(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return x(t,e)}throw new Error(\"gl-texture2d: Invalid arguments for texture2d constructor\")};var o=null,s=null,l=null;function c(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}function u(t){return\"undefined\"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||\"undefined\"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||\"undefined\"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||\"undefined\"!=typeof ImageData&&t instanceof ImageData}var f=function(t,e){i.muls(t,e,255)};function h(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture size\");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function p(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var d=p.prototype;function m(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function g(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function v(t,e,r,n,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error(\"gl-texture2d: Invalid texture shape\");if(i===t.FLOAT&&!t.getExtension(\"OES_texture_float\"))throw new Error(\"gl-texture2d: Floating point textures not supported on this platform\");var o=g(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new p(t,o,e,r,n,i)}function y(t,e,r,n,i,a){var o=g(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new p(t,o,r,n,i,a)}function x(t,e){var r=e.dtype,o=e.shape.slice(),s=t.getParameter(t.MAX_TEXTURE_SIZE);if(o[0]<0||o[0]>s||o[1]<0||o[1]>s)throw new Error(\"gl-texture2d: Invalid texture size\");var l=m(o,e.stride.slice()),c=0;\"float32\"===r?c=t.FLOAT:\"float64\"===r?(c=t.FLOAT,l=!1,r=\"float32\"):\"uint8\"===r?c=t.UNSIGNED_BYTE:(c=t.UNSIGNED_BYTE,l=!1,r=\"uint8\");var u,h,d=0;if(2===o.length)d=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===o[2])d=t.ALPHA;else if(2===o[2])d=t.LUMINANCE_ALPHA;else if(3===o[2])d=t.RGB;else{if(4!==o[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");d=t.RGBA}}c!==t.FLOAT||t.getExtension(\"OES_texture_float\")||(c=t.UNSIGNED_BYTE,l=!1);var v=e.size;if(l)u=0===e.offset&&e.data.length===v?e.data:e.data.subarray(e.offset,e.offset+v);else{var y=[o[2],o[2]*o[0],1];h=a.malloc(v,r);var x=n(h,o,y,0);\"float32\"!==r&&\"float64\"!==r||c!==t.UNSIGNED_BYTE?i.assign(x,e):f(x,e),u=h.subarray(0,v)}var b=g(t);return t.texImage2D(t.TEXTURE_2D,0,d,o[0],o[1],0,d,c,u),l||a.free(h),new p(t,b,o[0],o[1],d,c)}Object.defineProperties(d,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension(\"EXT_texture_filter_anisotropic\");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error(\"gl-texture2d: Must specify wrap mode for rows and columns\");for(var 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       "/*!\n",
       " * Determine if an object is a Buffer\n",
       " *\n",
       " * @author   Feross Aboukhadijeh <https://feross.org>\n",
       " * @license  MIT\n",
       " */\n",
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i=this.computedMatrix,a=i[0],o=i[4],s=i[8],u=i[1],f=i[5],h=i[9],p=i[2],d=i[6],m=i[10],g=e*a+r*u,v=e*o+r*f,y=e*s+r*h,x=-(d*y-m*v),b=-(m*g-p*y),_=-(p*v-d*g),w=Math.sqrt(Math.max(0,1-Math.pow(x,2)-Math.pow(b,2)-Math.pow(_,2))),T=c(x,b,_,w);T>1e-6?(x/=T,b/=T,_/=T,w/=T):(x=b=_=0,w=1);var k=this.computedRotation,A=k[0],M=k[1],S=k[2],E=k[3],L=A*w+E*x+M*_-S*b,C=M*w+E*b+S*x-A*_,P=S*w+E*_+A*b-M*x,I=E*w-A*x-M*b-S*_;if(n){x=p,b=d,_=m;var O=Math.sin(n)/l(x,b,_);x*=O,b*=O,_*=O,I=I*(w=Math.cos(e))-(L=L*w+I*x+C*_-P*b)*x-(C=C*w+I*b+P*x-L*_)*b-(P=P*w+I*_+L*b-C*x)*_}var z=c(L,C,P,I);z>1e-6?(L/=z,C/=z,P/=z,I/=z):(L=C=P=0,I=1),this.rotation.set(t,L,C,P,I)},h.lookAt=function(t,e,r,n){this.recalcMatrix(t),r=r||this.computedCenter,e=e||this.computedEye,n=n||this.computedUp;var a=this.computedMatrix;i(a,e,r,n);var o=this.computedRotation;s(o,a[0],a[1],a[2],a[4],a[5],a[6],a[8],a[9],a[10]),u(o,o),this.rotation.set(t,o[0],o[1],o[2],o[3]);for(var l=0,c=0;c<3;++c)l+=Math.pow(r[c]-e[c],2);this.radius.set(t,.5*Math.log(Math.max(l,1e-6))),this.center.set(t,r[0],r[1],r[2])},h.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},h.setMatrix=function(t,e){var r=this.computedRotation;s(r,e[0],e[1],e[2],e[4],e[5],e[6],e[8],e[9],e[10]),u(r,r),this.rotation.set(t,r[0],r[1],r[2],r[3]);var n=this.computedMatrix;o(n,e);var i=n[15];if(Math.abs(i)>1e-6){var a=n[12]/i,l=n[13]/i,c=n[14]/i;this.recalcMatrix(t);var f=Math.exp(this.computedRadius[0]);this.center.set(t,a-n[2]*f,l-n[6]*f,c-n[10]*f),this.radius.idle(t)}else this.center.idle(t),this.radius.idle(t)},h.setDistance=function(t,e){e>0&&this.radius.set(t,Math.log(e))},h.setDistanceLimits=function(t,e){t=t>0?Math.log(t):-1/0,e=e>0?Math.log(e):1/0,e=Math.max(e,t),this.radius.bounds[0][0]=t,this.radius.bounds[1][0]=e},h.getDistanceLimits=function(t){var e=this.radius.bounds;return t?(t[0]=Math.exp(e[0][0]),t[1]=Math.exp(e[1][0]),t):[Math.exp(e[0][0]),Math.exp(e[1][0])]},h.toJSON=function(){return this.recalcMatrix(this.lastT()),{center:this.computedCenter.slice(),rotation:this.computedRotation.slice(),distance:Math.log(this.computedRadius[0]),zoomMin:this.radius.bounds[0][0],zoomMax:this.radius.bounds[1][0]}},h.fromJSON=function(t){var e=this.lastT(),r=t.center;r&&this.center.set(e,r[0],r[1],r[2]);var n=t.rotation;n&&this.rotation.set(e,n[0],n[1],n[2],n[3]);var i=t.distance;i&&i>0&&this.radius.set(e,Math.log(i)),this.setDistanceLimits(t.zoomMin,t.zoomMax)}},{\"./lib/quatFromFrame\":262,\"filtered-vector\":68,\"gl-mat4/fromQuat\":95,\"gl-mat4/invert\":98,\"gl-mat4/lookAt\":99}],264:[function(t,e,r){\n",
       "/*!\n",
       " * pad-left <https://github.com/jonschlinkert/pad-left>\n",
       " *\n",
       " * Copyright (c) 2014-2015, Jon Schlinkert.\n",
       " * Licensed under the MIT license.\n",
       " */\n",
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e=this.computedUp,r=this.computedRight,n=0,i=0,a=0;a<3;++a)i+=e[a]*r[a],n+=e[a]*e[a];var l=Math.sqrt(n),u=0;for(a=0;a<3;++a)r[a]-=e[a]*i/n,u+=r[a]*r[a],e[a]/=l;var f=Math.sqrt(u);for(a=0;a<3;++a)r[a]/=f;var h=this.computedToward;o(h,e,r),s(h,h);var p=Math.exp(this.computedRadius[0]),d=this.computedAngle[0],m=this.computedAngle[1],g=Math.cos(d),v=Math.sin(d),y=Math.cos(m),x=Math.sin(m),b=this.computedCenter,_=g*y,w=v*y,T=x,k=-g*x,A=-v*x,M=y,S=this.computedEye,E=this.computedMatrix;for(a=0;a<3;++a){var L=_*r[a]+w*h[a]+T*e[a];E[4*a+1]=k*r[a]+A*h[a]+M*e[a],E[4*a+2]=L,E[4*a+3]=0}var C=E[1],P=E[5],I=E[9],O=E[2],z=E[6],D=E[10],R=P*D-I*z,F=I*O-C*D,B=C*z-P*O,N=c(R,F,B);R/=N,F/=N,B/=N,E[0]=R,E[4]=F,E[8]=B;for(a=0;a<3;++a)S[a]=b[a]+E[2+4*a]*p;for(a=0;a<3;++a){u=0;for(var j=0;j<3;++j)u+=E[a+4*j]*S[j];E[12+a]=-u}E[15]=1},p.getMatrix=function(t,e){this.recalcMatrix(t);var r=this.computedMatrix;if(e){for(var n=0;n<16;++n)e[n]=r[n];return e}return r};var d=[0,0,0];p.rotate=function(t,e,r,n){if(this.angle.move(t,e,r),n){this.recalcMatrix(t);var i=this.computedMatrix;d[0]=i[2],d[1]=i[6],d[2]=i[10];for(var o=this.computedUp,s=this.computedRight,l=this.computedToward,c=0;c<3;++c)i[4*c]=o[c],i[4*c+1]=s[c],i[4*c+2]=l[c];a(i,i,n,d);for(c=0;c<3;++c)o[c]=i[4*c],s[c]=i[4*c+1];this.up.set(t,o[0],o[1],o[2]),this.right.set(t,s[0],s[1],s[2])}},p.pan=function(t,e,r,n){e=e||0,r=r||0,n=n||0,this.recalcMatrix(t);var i=this.computedMatrix,a=(Math.exp(this.computedRadius[0]),i[1]),o=i[5],s=i[9],l=c(a,o,s);a/=l,o/=l,s/=l;var u=i[0],f=i[4],h=i[8],p=u*a+f*o+h*s,d=c(u-=a*p,f-=o*p,h-=s*p),m=(u/=d)*e+a*r,g=(f/=d)*e+o*r,v=(h/=d)*e+s*r;this.center.move(t,m,g,v);var y=Math.exp(this.computedRadius[0]);y=Math.max(1e-4,y+n),this.radius.set(t,Math.log(y))},p.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},p.setMatrix=function(t,e,r,n){var a=1;\"number\"==typeof r&&(a=0|r),(a<0||a>3)&&(a=1);var o=(a+2)%3;e||(this.recalcMatrix(t),e=this.computedMatrix);var s=e[a],l=e[a+4],f=e[a+8];if(n){var h=Math.abs(s),p=Math.abs(l),d=Math.abs(f),m=Math.max(h,p,d);h===m?(s=s<0?-1:1,l=f=0):d===m?(f=f<0?-1:1,s=l=0):(l=l<0?-1:1,s=f=0)}else{var g=c(s,l,f);s/=g,l/=g,f/=g}var v,y,x=e[o],b=e[o+4],_=e[o+8],w=x*s+b*l+_*f,T=c(x-=s*w,b-=l*w,_-=f*w),k=l*(_/=T)-f*(b/=T),A=f*(x/=T)-s*_,M=s*b-l*x,S=c(k,A,M);if(k/=S,A/=S,M/=S,this.center.jump(t,q,G,Y),this.radius.idle(t),this.up.jump(t,s,l,f),this.right.jump(t,x,b,_),2===a){var E=e[1],L=e[5],C=e[9],P=E*x+L*b+C*_,I=E*k+L*A+C*M;v=R<0?-Math.PI/2:Math.PI/2,y=Math.atan2(I,P)}else{var O=e[2],z=e[6],D=e[10],R=O*s+z*l+D*f,F=O*x+z*b+D*_,B=O*k+z*A+D*M;v=Math.asin(u(R)),y=Math.atan2(B,F)}this.angle.jump(t,y,v),this.recalcMatrix(t);var N=e[2],j=e[6],U=e[10],V=this.computedMatrix;i(V,e);var H=V[15],q=V[12]/H,G=V[13]/H,Y=V[14]/H,W=Math.exp(this.computedRadius[0]);this.center.jump(t,q-N*W,G-j*W,Y-U*W)},p.lastT=function(){return 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      "text/plain": [
       "<Figure size 1200x800 with 3 Axes>"
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     },
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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "from scipy.stats import special_ortho_group\n",
    "from editor.visualisation import display_images, plot_histograms_in_3d\n",
    "from editor.utils import compute_histogram, kldiv, generate_rotation_matrices\n",
    "from editor.histogram_transfer import pdf_transfer_1d\n",
    "from editor.histogram_transfer import regrain\n",
    "import plotly.graph_objects as go\n",
    "from PIL import Image\n",
    "from editor.training import HistogramDataset\n",
    "from config import DATA\n",
    "\n",
    "EPSILON = 1e-6\n",
    "BINS = 32\n",
    "dataset = HistogramDataset(\n",
    "    DATA,\n",
    "    bin_count=BINS,\n",
    "    # target_size=(128, 128)\n",
    ")\n",
    "\n",
    "og = np.array(dataset.get_original_image(1437))\n",
    "edit = np.array(dataset.get_edited_image(1437, edit_idx=96646))\n",
    "\n",
    "yes = []\n",
    "\n",
    "\n",
    "def pdf_transfer(\n",
    "    source: np.ndarray,\n",
    "    target: np.ndarray,\n",
    "    relaxation: float = 1,\n",
    "    bin_count: int = 1000,\n",
    "    iterations: int = 50,\n",
    "    smoothness: float = 1,\n",
    "):\n",
    "    [h, w, c] = source.shape\n",
    "    source_ = source.reshape(-1, c).transpose().copy()\n",
    "\n",
    "    rotation_matrices = generate_rotation_matrices(iterations)\n",
    "    for i, rotation in enumerate(rotation_matrices, start=1):\n",
    "        D0R = rotation @ source_\n",
    "        D1R = rotation @ target\n",
    "        D0R_ = np.zeros_like(source_)\n",
    "\n",
    "        for i in range(rotation.shape[0]):\n",
    "            datamin = min(np.min(D0R[i, :]), np.min(D1R[i, :])) - EPSILON\n",
    "            datamax = max(np.max(D0R[i, :]), np.max(D1R[i, :])) + EPSILON\n",
    "            u = np.linspace(datamin, datamax, bin_count)\n",
    "\n",
    "            p0R, _ = np.histogram(D0R[i, :], bins=u, density=True)\n",
    "            p1R, _ = np.histogram(D1R[i, :], bins=u, density=True)\n",
    "\n",
    "            f = pdf_transfer_1d(p0R, p1R)\n",
    "            mapped_values = (\n",
    "                np.interp(D0R[i, :], u[:-1], f) * (datamax - datamin) / (bin_count - 1)\n",
    "                + datamin\n",
    "            )\n",
    "            D0R_[i, :] = mapped_values\n",
    "\n",
    "        source_ = source_ + relaxation * (rotation.T @ (D0R_ - D0R))\n",
    "        source_.clip(0, 255, out=source_)\n",
    "        div = kldiv(\n",
    "            compute_histogram(\n",
    "                source_.astype(np.uint8).transpose().reshape(h, w, c), bins=BINS\n",
    "            ),\n",
    "            compute_histogram(og, bins=BINS),\n",
    "        )\n",
    "        yes.append(div)\n",
    "\n",
    "    result = source_.astype(np.uint8).transpose().reshape(h, w, c)\n",
    "    return regrain(source, result, smoothness=smoothness)\n",
    "\n",
    "\n",
    "[h2, w2, c] = og.shape\n",
    "reshape_arr_ref = og.reshape(-1, c).transpose()\n",
    "img_arr_out = pdf_transfer(\n",
    "    source=edit,\n",
    "    target=reshape_arr_ref,\n",
    "    relaxation=1,\n",
    "    bin_count=1000,\n",
    "    iterations=50,\n",
    "    smoothness=1,\n",
    ")\n",
    "\n",
    "plot_histograms_in_3d(\n",
    "    {\n",
    "        \"Input\": compute_histogram(edit, bins=BINS),\n",
    "        \"Reference\": compute_histogram(og, bins=BINS),\n",
    "        \"Output\": compute_histogram(img_arr_out, bins=BINS),\n",
    "    }\n",
    ")\n",
    "display_images(\n",
    "    {\n",
    "        \"Input\": Image.fromarray(edit),\n",
    "        \"Reference\": Image.fromarray(og),\n",
    "        \"Output\": Image.fromarray(img_arr_out),\n",
    "    }\n",
    ")\n",
    "fig = go.Figure()\n",
    "fig.add_trace(\n",
    "    go.Scatter(x=list(range(len(yes))), y=yes, mode=\"lines+markers\", name=\"Data\")\n",
    ")\n",
    "fig.show()"
   ]
  }
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