From dc6a245b64b74c1496eadb6f9cf7f387a04f47b8 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Jos=C3=A9=20Morales?= <jmoralz92@gmail.com>
Date: Fri, 18 Oct 2024 12:30:42 -0600
Subject: [PATCH] docs: update anomaly detection tutorial

---
 nbs/docs/tutorials/AnomalyDetection.ipynb | 86669 +-------------------
 1 file changed, 166 insertions(+), 86503 deletions(-)

diff --git a/nbs/docs/tutorials/AnomalyDetection.ipynb b/nbs/docs/tutorials/AnomalyDetection.ipynb
index 3d71210bb..eb2b9e0a2 100644
--- a/nbs/docs/tutorials/AnomalyDetection.ipynb
+++ b/nbs/docs/tutorials/AnomalyDetection.ipynb
@@ -106,58 +106,56 @@
    ]
   },
   {
-   "cell_type": "markdown",
-   "id": "b553450d-74f3-491c-8ce9-4a418ff03424",
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "94732866-4896-4547-871c-a97cb81e66fa",
    "metadata": {},
+   "outputs": [],
    "source": [
-    "## Load and explore the data "
+    "import os"
    ]
   },
   {
-   "cell_type": "markdown",
-   "id": "807ffec6-daa2-417a-bf2e-bc5a93d35bc9",
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a48563a2-d495-4cd0-81c9-27fdb8896aca",
    "metadata": {},
+   "outputs": [],
    "source": [
-    "For this example, we'll use the hourly dataset of the [M4 Competition](https://www.sciencedirect.com/science/article/pii/S0169207019301128). We'll first import the data from [datasetsforecast](https://github.com/Nixtla/datasetsforecast/tree/main/), which you can install using `pip install datasetsforecast`"
+    "# this makes it so that the outputs of the predict methods have the id as a column\n",
+    "os.environ['NIXTLA_ID_AS_COL'] = '1'"
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "caf680e5-77a1-4ebf-a0f6-7792fa549cdb",
+   "cell_type": "markdown",
+   "id": "b553450d-74f3-491c-8ce9-4a418ff03424",
    "metadata": {},
-   "outputs": [],
    "source": [
-    "pip install datasetsforecast -U "
+    "## Load and explore the data "
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "fed8c6e1-ee25-44ab-9448-e4f5d1caac8e",
+   "cell_type": "markdown",
+   "id": "807ffec6-daa2-417a-bf2e-bc5a93d35bc9",
    "metadata": {},
-   "outputs": [],
    "source": [
-    "from datasetsforecast.m4 import M4 "
+    "For this example, we'll use the hourly dataset of the [M4 Competition](https://www.sciencedirect.com/science/article/pii/S0169207019301128)."
    ]
   },
   {
-   "cell_type": "markdown",
-   "id": "ce346b86-24d7-4bd5-861c-58cbcf3653d7",
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "fbfdec7d-05b2-4a96-be2e-dda50213309d",
    "metadata": {},
+   "outputs": [],
    "source": [
-    "The function to load the data is `M4.load`. It requieres the following two arguments: \n",
-    "\n",
-    "- `directory`: (str) The directory where the data will be downloaded. \n",
-    "- `group`: (str). The group name, which can be `Yearly`, `Quarterly`, `Monthly`, `Weekly`, `Daily` or `Hourly`. \n",
-    "\n",
-    "This function returns multiple outputs, but only the first one with the target series is needed. "
+    "import pandas as pd"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "306d39e4-fb4b-4454-848c-0816aa147c1d",
+   "id": "2715987e-2f92-4ab9-a782-3d3c2bd4aedd",
    "metadata": {},
    "outputs": [
     {
@@ -222,12 +220,12 @@
        "</div>"
       ],
       "text/plain": [
-       "  unique_id ds      y\n",
-       "0        H1  1  605.0\n",
-       "1        H1  2  586.0\n",
-       "2        H1  3  586.0\n",
-       "3        H1  4  559.0\n",
-       "4        H1  5  511.0"
+       "  unique_id  ds      y\n",
+       "0        H1   1  605.0\n",
+       "1        H1   2  586.0\n",
+       "2        H1   3  586.0\n",
+       "3        H1   4  559.0\n",
+       "4        H1   5  511.0"
       ]
      },
      "execution_count": null,
@@ -236,7 +234,7 @@
     }
    ],
    "source": [
-    "df_total, *_ = M4.load('./data', 'Hourly')\n",
+    "df_total = pd.read_parquet('https://datasets-nixtla.s3.amazonaws.com/m4-hourly.parquet')\n",
     "df_total.head()"
    ]
   },
@@ -248,20 +246,8 @@
     "The input to StatsForecast is always a data frame in [long format](https://www.theanalysisfactor.com/wide-and-long-data/) with three columns: `unique_id`, `df` and `y`.  \n",
     "\n",
     "- `unique_id`: (string, int or category) A unique identifier for the series. \n",
-    "- `ds`: (datestamp or int) A datestamp in format YYYY-MM-DD or YYYY-MM-DD HH:MM:SS or an integer indexing time. \n",
-    "- `y`: (numeric) The measurement we wish to forecast. \n",
-    "\n",
-    "In this case, the `unique_id` and `y` columns already have the requiered format, but we need to change the data type of the `ds` column.  "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "022c7a25-af1f-4d48-9057-848c8b20de1f",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "df_total['ds'] = df_total['ds'].astype(int)"
+    "- `ds`: (timestamp or int) A timestamp in format YYYY-MM-DD or YYYY-MM-DD HH:MM:SS or an integer indexing time. \n",
+    "- `y`: (numeric) The measurement we wish to forecast."
    ]
   },
   {
@@ -279,7 +265,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "n_series = 8 \n",
+    "n_series = 8\n",
     "uids = df_total['unique_id'].unique()[:n_series]\n",
     "df = df_total.query('unique_id in @uids')"
    ]
@@ -289,14 +275,13 @@
    "id": "8407c552-1e40-4cb1-9d61-4cb6322d7583",
    "metadata": {},
    "source": [
-    "We can plot these series using the `plot` method from the StatsForecast class. This method has multiple parameters, and the required ones to generate the plots in this notebook are explained below. \n",
+    "We can plot these series using the `plot_series` function from the `utilsforecast` package. This function has multiple parameters, and the required ones to generate the plots in this notebook are explained below. \n",
     "\n",
     "- `df`: A pandas dataframe with columns [unique_id, ds, y].\n",
     "- `forecasts_df`: A pandas dataframe with columns [unique_id, ds] and models.\n",
-    "- `unique_ids`: (list[str]) A list with the ids of the time series we want to plot. \n",
-    "- `plot_random`: (bool = True) Plots the time series randomly.\n",
-    "- `plot_anomalies`: (bool = False) Plots anomalies for each prediction interval. \n",
-    "- `engine`: (str = plotly). The library used to generate the plots. It can also be matplotlib for static plots."
+    "- `ids`: A list with the ids of the time series we want to plot.\n",
+    "- `level`: Prediction interval levels to plot.\n",
+    "- `plot_anomalies`: Whether or not to include the anomalies for each prediction interval."
    ]
   },
   {
@@ -306,7 +291,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from statsforecast import StatsForecast "
+    "from statsforecast import StatsForecast\n",
+    "from utilsforecast.plotting import plot_series"
    ]
   },
   {
@@ -317,13425 +303,18 @@
    "outputs": [
     {
      "data": {
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-       "        if (window.MathJax && window.MathJax.Hub && window.MathJax.Hub.Config) {window.MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}\n",
-       "        if (typeof require !== 'undefined') {\n",
-       "        require.undef(\"plotly\");\n",
-       "        define('plotly', function(require, exports, module) {\n",
-       "            /**\n",
-       "* plotly.js v2.16.1\n",
-       "* Copyright 2012-2022, Plotly, Inc.\n",
-       "* All rights reserved.\n",
-       "* Licensed under the MIT license\n",
-       "*/\n",
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-       "/*!\n",
-       " * The buffer module from node.js, for the browser.\n",
-       " *\n",
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-       "/*!\n",
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-       " *\n",
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-       " * @license  MIT\n",
-       " */\n",
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r=L(8/(3*y)),i=e/r;return[t/(r*(1-n(i)/y)),i]},mt.invert=function(t,e){var r=2-n(e)/L(2*y/3);return[t*L(6*y)/(2*r),d(e)*S((4-r*r)/3)]},gt.invert=function(t,e){var r=L(y*(4+y))/2;return[t*r/(1+L(1-e*e*(4+y)/(4*y))),e*r/2]},vt.invert=function(t,e){var r=e*L((4+y)/y)/2,n=S(r),i=o(n);return[t/(2/L(y*(4+y))*(1+i)),S((n+r*(i+2))/(2+x))]},yt.invert=function(t,e){var r=L(2+y),n=e*r/2;return[r*t/(1+o(n)),n]},xt.invert=function(t,e){var r=1+x,n=L(r/2);return[2*t*n/(1+o(e*=n)),S((e+m(e))/r)]};var bt=3+2*w;function _t(t,e){var r=m(t/=2),n=o(t),a=L(o(e)),s=o(e/=2),l=m(e)/(s+w*n*a),u=L(2/(1+l*l)),f=L((w*s+(n+r)*a)/(w*s+(n-r)*a));return[bt*(u*(f-1/f)-2*c(f)),bt*(u*l*(f+1/f)-2*i(l))]}_t.invert=function(t,e){if(!(r=D.invert(t/1.2,1.065*e)))return null;var r,a=r[0],s=r[1],l=20;t/=bt,e/=bt;do{var h=a/2,p=s/2,d=m(h),g=o(h),y=m(p),b=o(p),T=o(s),k=L(T),A=y/(b+w*g*k),M=A*A,S=L(2/(1+M)),E=(w*b+(g+d)*k)/(w*b+(g-d)*k),C=L(E),P=C-1/C,I=C+1/C,O=S*P-2*c(C)-t,z=S*A*I-2*i(A)-e,R=y&&_*k*d*M/y,F=(w*g*b+k)/(2*(b+w*g*k)*(b+w*g*k)*k),B=-.5*A*S*S*S,N=B*R,j=B*F,U=(U=2*b+w*k*(g-d))*U*C,V=(w*g*b*k+T)/U,H=-w*d*y/(k*U),q=P*N-2*V/C+S*(V+V/E),G=P*j-2*H/C+S*(H+H/E),Y=A*I*N-2*R/(1+M)+S*I*R+S*A*(V-V/E),W=A*I*j-2*F/(1+M)+S*I*F+S*A*(H-H/E),Z=G*Y-W*q;if(!Z)break;var X=(z*G-O*W)/Z,J=(O*Y-z*q)/Z;a-=X,s=u(-x,f(x,s-J))}while((n(X)>v||n(J)>v)&&--l>0);return n(n(s)-x)<v?[0,s]:l&&[a,s]};var wt=o(35*M);function Tt(t,e){var r=g(e/2);return[t*wt*L(1-r*r),(1+wt)*r]}function kt(t,e){var r=e/2,n=o(r);return[2*t/T*o(e)*n*n,T*g(r)]}function At(t){var e=1-t,r=i(y,0)[0]-i(-y,0)[0],n=L(2*(i(0,x)[1]-i(0,-x)[1])/r);function i(r,n){var i=o(n),a=m(n);return[i/(e+t*i)*r,e*n+t*a]}function a(t,e){var r=i(t,e);return[r[0]*n,r[1]/n]}function s(t){return a(0,t)[1]}return a.invert=function(r,i){var a=V(s,i);return[r/n*(t+e/o(a)),a]},a}function Mt(t){return[t[0]/2,S(g(t[1]/2*M))*A]}function St(t){return[2*t[0],2*i(m(t[1]*M))*A]}function Et(t,r){var i=2*y/r,s=t*t;function l(r,l){var c=e.geoAzimuthalEquidistantRaw(r,l),u=c[0],f=c[1],h=u*u+f*f;if(h>s){var d=L(h),g=a(f,u),b=i*p(g/i),_=g-b,w=t*o(_),T=(t*m(_)-_*m(w))/(x-w),k=Lt(_,T),A=(y-t)/Ct(k,w,y);u=d;var M,S=50;do{u-=M=(t+Ct(k,w,u)*A-d)/(k(u)*A)}while(n(M)>v&&--S>0);f=_*m(u),u<x&&(f-=T*(u-x));var E=m(b),C=o(b);c[0]=u*C-f*E,c[1]=u*E+f*C}return c}return l.invert=function(r,l){var c=r*r+l*l;if(c>s){var u=L(c),f=a(l,r),h=i*p(f/i),d=f-h;r=u*o(d),l=u*m(d);for(var g=r-x,v=m(r),b=l/v,_=r<x?1/0:0,w=10;;){var T=t*m(b),k=t*o(b),A=m(k),M=x-k,S=(T-b*A)/M,E=Lt(b,S);if(n(_)<1e-12||!--w)break;b-=_=(b*v-S*g-l)/(v-2*g*(M*(k+b*T*o(k)-A)-T*(T-b*A))/(M*M))}r=(u=t+Ct(E,k,r)*(y-t)/Ct(E,k,y))*o(f=h+b),l=u*m(f)}return e.geoAzimuthalEquidistantRaw.invert(r,l)},l}function Lt(t,e){return function(r){var n=t*o(r);return r<x&&(n-=e),L(1+n*n)}}function 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float fontSize, charStep, em, align, baseline;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform vec4 color;\\n\\t\\t\\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\\n\\t\\t\\t\\t\\t+ vec2(positionOffset.x, -positionOffset.y)))\\n\\t\\t\\t\\t\\t/ (viewport.zw * scale.xy);\\n\\n\\t\\t\\t\\tvec2 position = (position + translate) * scale;\\n\\t\\t\\t\\tposition += offset * scale;\\n\\n\\t\\t\\t\\tcharCoord = position * viewport.zw + viewport.xy;\\n\\n\\t\\t\\t\\tgl_Position = vec4(position * 2. - 1., 0, 1);\\n\\n\\t\\t\\t\\tgl_PointSize = charStep;\\n\\n\\t\\t\\t\\tcharId.x = mod(char, atlasDim.x);\\n\\t\\t\\t\\tcharId.y = floor(char / atlasDim.x);\\n\\n\\t\\t\\t\\tcharWidth = width * em;\\n\\n\\t\\t\\t\\tfontColor = color / 255.;\\n\\t\\t\\t}\",frag:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tuniform float fontSize, charStep, opacity;\\n\\t\\t\\tuniform vec2 atlasSize;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform sampler2D atlas;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\n\\t\\t\\tfloat lightness(vec4 color) {\\n\\t\\t\\t\\treturn color.r * 0.299 + color.g * 0.587 + color.b * 0.114;\\n\\t\\t\\t}\\n\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 uv = gl_FragCoord.xy - charCoord + charStep * .5;\\n\\t\\t\\t\\tfloat halfCharStep = floor(charStep * .5 + .5);\\n\\n\\t\\t\\t\\t// invert y and shift by 1px (FF expecially needs that)\\n\\t\\t\\t\\tuv.y = charStep - uv.y;\\n\\n\\t\\t\\t\\t// ignore points outside of character bounding box\\n\\t\\t\\t\\tfloat halfCharWidth = ceil(charWidth * .5);\\n\\t\\t\\t\\tif (floor(uv.x) > halfCharStep + halfCharWidth ||\\n\\t\\t\\t\\t\\tfloor(uv.x) < halfCharStep - halfCharWidth) return;\\n\\n\\t\\t\\t\\tuv += charId * charStep;\\n\\t\\t\\t\\tuv = uv / atlasSize;\\n\\n\\t\\t\\t\\tvec4 color = fontColor;\\n\\t\\t\\t\\tvec4 mask = texture2D(atlas, uv);\\n\\n\\t\\t\\t\\tfloat maskY = lightness(mask);\\n\\t\\t\\t\\t// float colorY = lightness(color);\\n\\t\\t\\t\\tcolor.a *= maskY;\\n\\t\\t\\t\\tcolor.a *= opacity;\\n\\n\\t\\t\\t\\t// color.a += .1;\\n\\n\\t\\t\\t\\t// antialiasing, see yiq color space y-channel formula\\n\\t\\t\\t\\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\\n\\n\\t\\t\\t\\tgl_FragColor = color;\\n\\t\\t\\t}\"});return{regl:t,draw:e,atlas:{}}},T.prototype.update=function(t){var e=this;if(\"string\"==typeof t)t={text:t};else if(!t)return;null!=(t=i(t,{position:\"position positions coord coords coordinates\",font:\"font fontFace fontface typeface cssFont css-font family fontFamily\",fontSize:\"fontSize fontsize size font-size\",text:\"text texts chars characters value values symbols\",align:\"align alignment textAlign textbaseline\",baseline:\"baseline textBaseline textbaseline\",direction:\"dir direction textDirection\",color:\"color colour fill fill-color fillColor textColor textcolor\",kerning:\"kerning kern\",range:\"range dataBox\",viewport:\"vp viewport viewBox viewbox viewPort\",opacity:\"opacity alpha transparency visible visibility opaque\",offset:\"offset positionOffset padding shift indent indentation\"},!0)).opacity&&(Array.isArray(t.opacity)?this.opacity=t.opacity.map((function(t){return parseFloat(t)})):this.opacity=parseFloat(t.opacity)),null!=t.viewport&&(this.viewport=f(t.viewport),this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null==this.viewport&&(this.viewport={x:0,y:0,width:this.gl.drawingBufferWidth,height:this.gl.drawingBufferHeight},this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null!=t.kerning&&(this.kerning=t.kerning),null!=t.offset&&(\"number\"==typeof t.offset&&(t.offset=[t.offset,0]),this.positionOffset=y(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),this.font.length||t.font||(t.font=T.baseFontSize+\"px sans-serif\");var r,a=!1,o=!1;if(t.font&&(Array.isArray(t.font)?t.font:[t.font]).forEach((function(t,r){if(\"string\"==typeof t)try{t=n.parse(t)}catch(e){t=n.parse(T.baseFontSize+\"px \"+t)}else t=n.parse(n.stringify(t));var i=n.stringify({size:T.baseFontSize,family:t.family,stretch:_?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),s=p(t.size),l=Math.round(s[0]*d(s[1]));if(l!==e.fontSize[r]&&(o=!0,e.fontSize[r]=l),!(e.font[r]&&i==e.font[r].baseString||(a=!0,e.font[r]=T.fonts[i],e.font[r]))){var c=t.family.join(\", \"),u=[t.style];t.style!=t.variant&&u.push(t.variant),t.variant!=t.weight&&u.push(t.weight),_&&t.weight!=t.stretch&&u.push(t.stretch),e.font[r]={baseString:i,family:c,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:v(c,{origin:\"top\",fontSize:T.baseFontSize,fontStyle:u.join(\" \")})},T.fonts[i]=e.font[r]}})),(a||o)&&this.font.forEach((function(r,i){var a=n.stringify({size:e.fontSize[i],family:r.family,stretch:_?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[i]=e.shader.atlas[a],!e.fontAtlas[i]){var o=r.metrics;e.shader.atlas[a]=e.fontAtlas[i]={fontString:a,step:2*Math.ceil(e.fontSize[i]*o.bottom*.5),em:e.fontSize[i],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:e.regl.texture()}}null==t.text&&(t.text=e.text)})),\"string\"==typeof t.text&&t.position&&t.position.length>2){for(var s=Array(.5*t.position.length),h=0;h<s.length;h++)s[h]=t.text;t.text=s}if(null!=t.text||a){if(this.textOffsets=[0],Array.isArray(t.text)){this.count=t.text[0].length,this.counts=[this.count];for(var b=1;b<t.text.length;b++)this.textOffsets[b]=this.textOffsets[b-1]+t.text[b-1].length,this.count+=t.text[b].length,this.counts.push(t.text[b].length);this.text=t.text.join(\"\")}else this.text=t.text,this.count=this.text.length,this.counts=[this.count];r=[],this.font.forEach((function(t,n){T.atlasContext.font=t.baseString;for(var i=e.fontAtlas[n],a=0;a<e.text.length;a++){var o=e.text.charAt(a);if(null==i.ids[o]&&(i.ids[o]=i.chars.length,i.chars.push(o),r.push(o)),null==t.width[o]&&(t.width[o]=T.atlasContext.measureText(o).width/T.baseFontSize,e.kerning)){var s=[];for(var l in t.width)s.push(l+o,o+l);g(t.kerning,m(t.family,{pairs:s}))}}}))}if(t.position)if(t.position.length>2){for(var w=!t.position[0].length,k=u.mallocFloat(2*this.count),A=0,M=0;A<this.counts.length;A++){var S=this.counts[A];if(w)for(var E=0;E<S;E++)k[M++]=t.position[2*A],k[M++]=t.position[2*A+1];else for(var L=0;L<S;L++)k[M++]=t.position[A][0],k[M++]=t.position[A][1]}this.position.call?this.position({type:\"float\",data:k}):this.position=this.regl.buffer({type:\"float\",data:k}),u.freeFloat(k)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||a){var C=u.mallocUint8(this.count),P=u.mallocFloat(2*this.count);this.textWidth=[];for(var I=0,O=0;I<this.counts.length;I++){for(var z=this.counts[I],D=this.font[I]||this.font[0],R=this.fontAtlas[I]||this.fontAtlas[0],F=0;F<z;F++){var B=this.text.charAt(O),N=this.text.charAt(O-1);if(C[O]=R.ids[B],P[2*O]=D.width[B],F){var j=P[2*O-2],U=P[2*O],V=P[2*O-1]+.5*j+.5*U;if(this.kerning){var H=D.kerning[N+B];H&&(V+=.001*H)}P[2*O+1]=V}else P[2*O+1]=.5*P[2*O];O++}this.textWidth.push(P.length?.5*P[2*O-2]+P[2*O-1]:0)}t.align||(t.align=this.align),this.charBuffer({data:C,type:\"uint8\",usage:\"stream\"}),this.sizeBuffer({data:P,type:\"float\",usage:\"stream\"}),u.freeUint8(C),u.freeFloat(P),r.length&&this.font.forEach((function(t,r){var n=e.fontAtlas[r],i=n.step,a=Math.floor(T.maxAtlasSize/i),o=Math.min(a,n.chars.length),s=Math.ceil(n.chars.length/o),l=x(o*i),u=x(s*i);n.width=l,n.height=u,n.rows=s,n.cols=o,n.em&&n.texture({data:c({canvas:T.atlasCanvas,font:n.fontString,chars:n.chars,shape:[l,u],step:[i,i]})})}))}if(t.align&&(this.align=t.align,this.alignOffset=this.textWidth.map((function(t,r){var n=Array.isArray(e.align)?e.align.length>1?e.align[r]:e.align[0]:e.align;if(\"number\"==typeof n)return n;switch(n){case\"right\":case\"end\":return-t;case\"center\":case\"centre\":case\"middle\":return.5*-t}return 0}))),null==this.baseline&&null==t.baseline&&(t.baseline=0),null!=t.baseline&&(this.baseline=t.baseline,Array.isArray(this.baseline)||(this.baseline=[this.baseline]),this.baselineOffset=this.baseline.map((function(t,r){var n=(e.font[r]||e.font[0]).metrics,i=0;return i+=.5*n.bottom,i+=\"number\"==typeof t?t-n.baseline:-n[t],i*=-1}))),null!=t.color)if(t.color||(t.color=\"transparent\"),\"string\"!=typeof t.color&&isNaN(t.color)){var q;if(\"number\"==typeof t.color[0]&&t.color.length>this.counts.length){var G=t.color.length;q=u.mallocUint8(G);for(var Y=(t.color.subarray||t.color.slice).bind(t.color),W=0;W<G;W+=4)q.set(l(Y(W,W+4),\"uint8\"),W)}else{var Z=t.color.length;q=u.mallocUint8(4*Z);for(var X=0;X<Z;X++)q.set(l(t.color[X]||0,\"uint8\"),4*X)}this.color=q}else this.color=l(t.color,\"uint8\");if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity)if(this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2){var J=Math.max(.5*this.position.length||0,.25*this.color.length||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,.5*this.positionOffset.length||0);this.batch=Array(J);for(var K=0;K<this.batch.length;K++)this.batch[K]={count:this.counts.length>1?this.counts[K]:this.counts[0],offset:this.textOffsets.length>1?this.textOffsets[K]:this.textOffsets[0],color:this.color?this.color.length<=4?this.color:this.color.subarray(4*K,4*K+4):[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[K]:this.opacity,baseline:null!=this.baselineOffset[K]?this.baselineOffset[K]:this.baselineOffset[0],align:this.align?null!=this.alignOffset[K]?this.alignOffset[K]:this.alignOffset[0]:0,atlas:this.fontAtlas[K]||this.fontAtlas[0],positionOffset:this.positionOffset.length>2?this.positionOffset.subarray(2*K,2*K+2):this.positionOffset}}else this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[]},T.prototype.destroy=function(){},T.prototype.kerning=!0,T.prototype.position={constant:new Float32Array(2)},T.prototype.translate=null,T.prototype.scale=null,T.prototype.font=null,T.prototype.text=\"\",T.prototype.positionOffset=[0,0],T.prototype.opacity=1,T.prototype.color=new Uint8Array([0,0,0,255]),T.prototype.alignOffset=[0,0],T.maxAtlasSize=1024,T.atlasCanvas=document.createElement(\"canvas\"),T.atlasContext=T.atlasCanvas.getContext(\"2d\",{alpha:!1}),T.baseFontSize=64,T.fonts={},e.exports=T},{\"bit-twiddle\":81,\"color-normalize\":89,\"css-font\":99,\"detect-kerning\":125,\"es6-weak-map\":183,\"flatten-vertex-data\":191,\"font-atlas\":192,\"font-measure\":193,\"gl-util/context\":226,\"is-plain-obj\":236,\"object-assign\":247,\"parse-rect\":249,\"parse-unit\":251,\"pick-by-alias\":253,regl:284,\"to-px\":315,\"typedarray-pool\":328}],226:[function(t,e,r){(function(r){(function(){\"use strict\";var n=t(\"pick-by-alias\");function i(t){if(t.container)if(t.container==document.body)document.body.style.width||(t.canvas.width=t.width||t.pixelRatio*r.innerWidth),document.body.style.height||(t.canvas.height=t.height||t.pixelRatio*r.innerHeight);else{var 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r=e.parse(t[1],1,Bt);if(!r)return null;var n=[],i=null;e.expectedType&&\"value\"!==e.expectedType.kind&&(i=e.expectedType);for(var a=1;a<t.length;a+=2){var o=1===a?-1/0:t[a],s=t[a+1],l=a,c=a+1;if(\"number\"!=typeof o)return e.error('Input/output pairs for \"step\" expressions must be defined using literal numeric values (not computed expressions) for the input values.',l);if(n.length&&n[n.length-1][0]>=o)return e.error('Input/output pairs for \"step\" expressions must be arranged with input values in strictly ascending order.',l);var u=e.parse(s,c,i);if(!u)return null;i=i||u.type,n.push([o,u])}return new He(i,r,n)},He.prototype.evaluate=function(t){var e=this.labels,r=this.outputs;if(1===e.length)return r[0].evaluate(t);var n=this.input.evaluate(t);if(n<=e[0])return r[0].evaluate(t);var i=e.length;return n>=e[i-1]?r[i-1].evaluate(t):r[Ve(e,n)].evaluate(t)},He.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1){t(r[e])}},He.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},He.prototype.serialize=function(){for(var t=[\"step\",this.input.serialize()],e=0;e<this.labels.length;e++)e>0&&t.push(this.labels[e]),t.push(this.outputs[e].serialize());return t};var Ge=Object.freeze({__proto__:null,number:qe,color:function(t,e,r){return new te(qe(t.r,e.r,r),qe(t.g,e.g,r),qe(t.b,e.b,r),qe(t.a,e.a,r))},array:function(t,e,r){return t.map((function(t,n){return qe(t,e[n],r)}))}}),Ye=6/29,We=3*Ye*Ye,Ze=Math.PI/180,Xe=180/Math.PI;function Je(t){return t>.008856451679035631?Math.pow(t,1/3):t/We+4/29}function Ke(t){return t>Ye?t*t*t:We*(t-4/29)}function Qe(t){return 255*(t<=.0031308?12.92*t:1.055*Math.pow(t,1/2.4)-.055)}function $e(t){return(t/=255)<=.04045?t/12.92:Math.pow((t+.055)/1.055,2.4)}function tr(t){var e=$e(t.r),r=$e(t.g),n=$e(t.b),i=Je((.4124564*e+.3575761*r+.1804375*n)/.95047),a=Je((.2126729*e+.7151522*r+.072175*n)/1);return{l:116*a-16,a:500*(i-a),b:200*(a-Je((.0193339*e+.119192*r+.9503041*n)/1.08883)),alpha:t.a}}function er(t){var e=(t.l+16)/116,r=isNaN(t.a)?e:e+t.a/500,n=isNaN(t.b)?e:e-t.b/200;return e=1*Ke(e),r=.95047*Ke(r),n=1.08883*Ke(n),new te(Qe(3.2404542*r-1.5371385*e-.4985314*n),Qe(-.969266*r+1.8760108*e+.041556*n),Qe(.0556434*r-.2040259*e+1.0572252*n),t.alpha)}function rr(t,e,r){var n=e-t;return t+r*(n>180||n<-180?n-360*Math.round(n/360):n)}var nr={forward:tr,reverse:er,interpolate:function(t,e,r){return{l:qe(t.l,e.l,r),a:qe(t.a,e.a,r),b:qe(t.b,e.b,r),alpha:qe(t.alpha,e.alpha,r)}}},ir={forward:function(t){var e=tr(t),r=e.l,n=e.a,i=e.b,a=Math.atan2(i,n)*Xe;return{h:a<0?a+360:a,c:Math.sqrt(n*n+i*i),l:r,alpha:t.a}},reverse:function(t){var e=t.h*Ze,r=t.c;return er({l:t.l,a:Math.cos(e)*r,b:Math.sin(e)*r,alpha:t.alpha})},interpolate:function(t,e,r){return{h:rr(t.h,e.h,r),c:qe(t.c,e.c,r),l:qe(t.l,e.l,r),alpha:qe(t.alpha,e.alpha,r)}}},ar=Object.freeze({__proto__:null,lab:nr,hcl:ir}),or=function(t,e,r,n,i){this.type=t,this.operator=e,this.interpolation=r,this.input=n,this.labels=[],this.outputs=[];for(var a=0,o=i;a<o.length;a+=1){var s=o[a],l=s[0],c=s[1];this.labels.push(l),this.outputs.push(c)}};function sr(t,e,r,n){var i=n-r,a=t-r;return 0===i?0:1===e?a/i:(Math.pow(e,a)-1)/(Math.pow(e,i)-1)}or.interpolationFactor=function(t,e,n,i){var a=0;if(\"exponential\"===t.name)a=sr(e,t.base,n,i);else if(\"linear\"===t.name)a=sr(e,1,n,i);else if(\"cubic-bezier\"===t.name){var o=t.controlPoints;a=new r(o[0],o[1],o[2],o[3]).solve(sr(e,1,n,i))}return a},or.parse=function(t,e){var r=t[0],n=t[1],i=t[2],a=t.slice(3);if(!Array.isArray(n)||0===n.length)return e.error(\"Expected an interpolation type expression.\",1);if(\"linear\"===n[0])n={name:\"linear\"};else if(\"exponential\"===n[0]){var o=n[1];if(\"number\"!=typeof o)return e.error(\"Exponential interpolation requires a numeric base.\",1,1);n={name:\"exponential\",base:o}}else{if(\"cubic-bezier\"!==n[0])return e.error(\"Unknown interpolation type \"+String(n[0]),1,0);var s=n.slice(1);if(4!==s.length||s.some((function(t){return\"number\"!=typeof t||t<0||t>1})))return e.error(\"Cubic bezier interpolation requires four numeric arguments with values between 0 and 1.\",1);n={name:\"cubic-bezier\",controlPoints:s}}if(t.length-1<4)return e.error(\"Expected at least 4 arguments, but found only \"+(t.length-1)+\".\");if((t.length-1)%2!=0)return e.error(\"Expected an even number of arguments.\");if(!(i=e.parse(i,2,Bt)))return null;var l=[],c=null;\"interpolate-hcl\"===r||\"interpolate-lab\"===r?c=Ut:e.expectedType&&\"value\"!==e.expectedType.kind&&(c=e.expectedType);for(var u=0;u<a.length;u+=2){var f=a[u],h=a[u+1],p=u+3,d=u+4;if(\"number\"!=typeof f)return e.error('Input/output pairs for 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a=Ve(e,n),o=e[a],s=e[a+1],l=or.interpolationFactor(this.interpolation,n,o,s),c=r[a].evaluate(t),u=r[a+1].evaluate(t);return\"interpolate\"===this.operator?Ge[this.type.kind.toLowerCase()](c,u,l):\"interpolate-hcl\"===this.operator?ir.reverse(ir.interpolate(ir.forward(c),ir.forward(u),l)):nr.reverse(nr.interpolate(nr.forward(c),nr.forward(u),l))},or.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1){t(r[e])}},or.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},or.prototype.serialize=function(){var t;t=\"linear\"===this.interpolation.name?[\"linear\"]:\"exponential\"===this.interpolation.name?1===this.interpolation.base?[\"linear\"]:[\"exponential\",this.interpolation.base]:[\"cubic-bezier\"].concat(this.interpolation.controlPoints);for(var e=[this.operator,t,this.input.serialize()],r=0;r<this.labels.length;r++)e.push(this.labels[r],this.outputs[r].serialize());return e};var lr=function(t,e){this.type=t,this.args=e};lr.parse=function(t,e){if(t.length<2)return e.error(\"Expectected at least one argument.\");var r=null,n=e.expectedType;n&&\"value\"!==n.kind&&(r=n);for(var i=[],a=0,o=t.slice(1);a<o.length;a+=1){var s=o[a],l=e.parse(s,1+i.length,r,void 0,{typeAnnotation:\"omit\"});if(!l)return null;r=r||l.type,i.push(l)}var c=n&&i.some((function(t){return Jt(n,t.type)}));return new lr(c?Ht:r,i)},lr.prototype.evaluate=function(t){for(var e,r=null,n=0,i=0,a=this.args;i<a.length;i+=1){if(n++,(r=a[i].evaluate(t))&&r instanceof ie&&!r.available&&(e||(e=r.name),r=null,n===this.args.length&&(r=e)),null!==r)break}return r},lr.prototype.eachChild=function(t){this.args.forEach(t)},lr.prototype.outputDefined=function(){return this.args.every((function(t){return t.outputDefined()}))},lr.prototype.serialize=function(){var t=[\"coalesce\"];return this.eachChild((function(e){t.push(e.serialize())})),t};var cr=function(t,e){this.type=e.type,this.bindings=[].concat(t),this.result=e};cr.prototype.evaluate=function(t){return this.result.evaluate(t)},cr.prototype.eachChild=function(t){for(var e=0,r=this.bindings;e<r.length;e+=1){t(r[e][1])}t(this.result)},cr.parse=function(t,e){if(t.length<4)return e.error(\"Expected at least 3 arguments, but found \"+(t.length-1)+\" instead.\");for(var r=[],n=1;n<t.length-1;n+=2){var i=t[n];if(\"string\"!=typeof i)return e.error(\"Expected string, but found \"+typeof i+\" instead.\",n);if(/[^a-zA-Z0-9_]/.test(i))return e.error(\"Variable names must contain only alphanumeric characters or '_'.\",n);var a=e.parse(t[n+1],n+1);if(!a)return null;r.push([i,a])}var o=e.parse(t[t.length-1],t.length-1,e.expectedType,r);return o?new cr(r,o):null},cr.prototype.outputDefined=function(){return this.result.outputDefined()},cr.prototype.serialize=function(){for(var t=[\"let\"],e=0,r=this.bindings;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];t.push(i,a.serialize())}return t.push(this.result.serialize()),t};var ur=function(t,e,r){this.type=t,this.index=e,this.input=r};ur.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Bt),n=e.parse(t[2],2,Wt(e.expectedType||Ht));if(!r||!n)return null;var i=n.type;return new ur(i.itemType,r,n)},ur.prototype.evaluate=function(t){var e=this.index.evaluate(t),r=this.input.evaluate(t);if(e<0)throw new ue(\"Array index out of bounds: \"+e+\" < 0.\");if(e>=r.length)throw new ue(\"Array index out of bounds: \"+e+\" > \"+(r.length-1)+\".\");if(e!==Math.floor(e))throw new ue(\"Array index must be an integer, but found \"+e+\" instead.\");return r[e]},ur.prototype.eachChild=function(t){t(this.index),t(this.input)},ur.prototype.outputDefined=function(){return!1},ur.prototype.serialize=function(){return[\"at\",this.index.serialize(),this.input.serialize()]};var fr=function(t,e){this.type=jt,this.needle=t,this.haystack=e};fr.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Ht),n=e.parse(t[2],2,Ht);return r&&n?Kt(r.type,[jt,Nt,Bt,Ft,Ht])?new fr(r,n):e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Zt(r.type)+\" instead\"):null},fr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!r)return!1;if(!Qt(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new ue(\"Expected first argument to be of type boolean, string, number or null, but found \"+Zt(se(e))+\" instead.\");if(!Qt(r,[\"string\",\"array\"]))throw new ue(\"Expected second argument to be of type array or string, but found \"+Zt(se(r))+\" instead.\");return r.indexOf(e)>=0},fr.prototype.eachChild=function(t){t(this.needle),t(this.haystack)},fr.prototype.outputDefined=function(){return!0},fr.prototype.serialize=function(){return[\"in\",this.needle.serialize(),this.haystack.serialize()]};var hr=function(t,e,r){this.type=Bt,this.needle=t,this.haystack=e,this.fromIndex=r};hr.parse=function(t,e){if(t.length<=2||t.length>=5)return e.error(\"Expected 3 or 4 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Ht),n=e.parse(t[2],2,Ht);if(!r||!n)return null;if(!Kt(r.type,[jt,Nt,Bt,Ft,Ht]))return e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Zt(r.type)+\" instead\");if(4===t.length){var i=e.parse(t[3],3,Bt);return i?new hr(r,n,i):null}return new hr(r,n)},hr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!Qt(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new ue(\"Expected first argument to be of type boolean, string, number or null, but found \"+Zt(se(e))+\" instead.\");if(!Qt(r,[\"string\",\"array\"]))throw new ue(\"Expected second argument to be of type array or string, but found \"+Zt(se(r))+\" instead.\");if(this.fromIndex){var n=this.fromIndex.evaluate(t);return r.indexOf(e,n)}return r.indexOf(e)},hr.prototype.eachChild=function(t){t(this.needle),t(this.haystack),this.fromIndex&&t(this.fromIndex)},hr.prototype.outputDefined=function(){return!1},hr.prototype.serialize=function(){if(null!=this.fromIndex&&void 0!==this.fromIndex){var t=this.fromIndex.serialize();return[\"index-of\",this.needle.serialize(),this.haystack.serialize(),t]}return[\"index-of\",this.needle.serialize(),this.haystack.serialize()]};var pr=function(t,e,r,n,i,a){this.inputType=t,this.type=e,this.input=r,this.cases=n,this.outputs=i,this.otherwise=a};pr.parse=function(t,e){if(t.length<5)return e.error(\"Expected at least 4 arguments, but found only \"+(t.length-1)+\".\");if(t.length%2!=1)return e.error(\"Expected an even number of 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m?\"value\"!==d.type.kind&&e.concat(1).checkSubtype(r,d.type)?null:new pr(r,n,d,i,a,m):null},pr.prototype.evaluate=function(t){var e=this.input.evaluate(t);return(se(e)===this.inputType&&this.outputs[this.cases[e]]||this.otherwise).evaluate(t)},pr.prototype.eachChild=function(t){t(this.input),this.outputs.forEach(t),t(this.otherwise)},pr.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))&&this.otherwise.outputDefined()},pr.prototype.serialize=function(){for(var t=this,e=[\"match\",this.input.serialize()],r=[],n={},i=0,a=Object.keys(this.cases).sort();i<a.length;i+=1){var o=a[i];void 0===(f=n[this.cases[o]])?(n[this.cases[o]]=r.length,r.push([this.cases[o],[o]])):r[f][1].push(o)}for(var s=function(e){return\"number\"===t.inputType.kind?Number(e):e},l=0,c=r;l<c.length;l+=1){var u=c[l],f=u[0],h=u[1];1===h.length?e.push(s(h[0])):e.push(h.map(s)),e.push(this.outputs[outputIndex$1].serialize())}return e.push(this.otherwise.serialize()),e};var dr=function(t,e,r){this.type=t,this.branches=e,this.otherwise=r};dr.parse=function(t,e){if(t.length<4)return e.error(\"Expected at least 3 arguments, but found only \"+(t.length-1)+\".\");if(t.length%2!=0)return e.error(\"Expected an odd number of arguments.\");var r;e.expectedType&&\"value\"!==e.expectedType.kind&&(r=e.expectedType);for(var n=[],i=1;i<t.length-1;i+=2){var a=e.parse(t[i],i,jt);if(!a)return null;var o=e.parse(t[i+1],i+1,r);if(!o)return null;n.push([a,o]),r=r||o.type}var s=e.parse(t[t.length-1],t.length-1,r);return s?new dr(r,n,s):null},dr.prototype.evaluate=function(t){for(var e=0,r=this.branches;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];if(i.evaluate(t))return a.evaluate(t)}return this.otherwise.evaluate(t)},dr.prototype.eachChild=function(t){for(var e=0,r=this.branches;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];t(i),t(a)}t(this.otherwise)},dr.prototype.outputDefined=function(){return this.branches.every((function(t){t[0];return 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or?a.interpolation:void 0;return Ir(new Xr(n?\"camera\":\"composite\",t.value,a.labels,o))}Xr.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)},Xr.prototype.evaluate=function(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)},Xr.prototype.interpolationFactor=function(t,e,r){return this.interpolationType?or.interpolationFactor(this.interpolationType,t,e,r):0};var Kr=function(t,e){this._parameters=t,this._specification=e,It(this,function t(e,r){var n,i,a,o=\"color\"===r.type,s=e.stops&&\"object\"==typeof e.stops[0][0],l=s||void 0!==e.property,c=s||!l,u=e.type||(Rr(r)?\"exponential\":\"interval\");if(o&&((e=It({},e)).stops&&(e.stops=e.stops.map((function(t){return[t[0],te.parse(t[1])]}))),e.default?e.default=te.parse(e.default):e.default=te.parse(r.default)),e.colorSpace&&\"rgb\"!==e.colorSpace&&!ar[e.colorSpace])throw new Error(\"Unknown color space: 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n&&r<n.minimum?[new Ct(e,r,r+\" is less than the minimum value \"+n.minimum)]:\"maximum\"in n&&r>n.maximum?[new Ct(e,r,r+\" is greater than the maximum value \"+n.maximum)]:[]}function en(t){var e,r,n,i=t.valueSpec,a=Ot(t.value.type),o={},s=\"categorical\"!==a&&void 0===t.value.property,l=!s,c=\"array\"===Fr(t.value.stops)&&\"array\"===Fr(t.value.stops[0])&&\"object\"===Fr(t.value.stops[0][0]),u=Qr({key:t.key,value:t.value,valueSpec:t.styleSpec.function,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{stops:function(t){if(\"identity\"===a)return[new Ct(t.key,t.value,'identity function may not have a \"stops\" property')];var e=[],r=t.value;e=e.concat($r({key:t.key,value:r,valueSpec:t.valueSpec,style:t.style,styleSpec:t.styleSpec,arrayElementValidator:f})),\"array\"===Fr(r)&&0===r.length&&e.push(new Ct(t.key,r,\"array must have at least one stop\"));return e},default:function(t){return kn({key:t.key,value:t.value,valueSpec:i,style:t.style,styleSpec:t.styleSpec})}}});return\"identity\"===a&&s&&u.push(new Ct(t.key,t.value,'missing required property \"property\"')),\"identity\"===a||t.value.stops||u.push(new Ct(t.key,t.value,'missing required property \"stops\"')),\"exponential\"===a&&t.valueSpec.expression&&!Rr(t.valueSpec)&&u.push(new Ct(t.key,t.value,\"exponential functions not supported\")),t.styleSpec.$version>=8&&(l&&!zr(t.valueSpec)?u.push(new Ct(t.key,t.value,\"property functions not supported\")):s&&!Dr(t.valueSpec)&&u.push(new Ct(t.key,t.value,\"zoom functions not supported\"))),\"categorical\"!==a&&!c||void 0!==t.value.property||u.push(new Ct(t.key,t.value,'\"property\" property is required')),u;function f(t){var e=[],a=t.value,s=t.key;if(\"array\"!==Fr(a))return[new Ct(s,a,\"array expected, \"+Fr(a)+\" found\")];if(2!==a.length)return[new Ct(s,a,\"array length 2 expected, length \"+a.length+\" found\")];if(c){if(\"object\"!==Fr(a[0]))return[new Ct(s,a,\"object expected, \"+Fr(a[0])+\" found\")];if(void 0===a[0].zoom)return[new Ct(s,a,\"object stop key must have zoom\")];if(void 0===a[0].value)return[new Ct(s,a,\"object stop key must have value\")];if(n&&n>Ot(a[0].zoom))return[new Ct(s,a[0].zoom,\"stop zoom values must appear in ascending order\")];Ot(a[0].zoom)!==n&&(n=Ot(a[0].zoom),r=void 0,o={}),e=e.concat(Qr({key:s+\"[0]\",value:a[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:tn,value:h}}))}else e=e.concat(h({key:s+\"[0]\",value:a[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},a));return Yr(zt(a[1]))?e.concat([new Ct(s+\"[1]\",a[1],\"expressions are not allowed in function stops.\")]):e.concat(kn({key:s+\"[1]\",value:a[1],valueSpec:i,style:t.style,styleSpec:t.styleSpec}))}function h(t,n){var s=Fr(t.value),l=Ot(t.value),c=null!==t.value?t.value:n;if(e){if(s!==e)return[new Ct(t.key,c,s+\" stop domain type must match previous stop domain type \"+e)]}else e=s;if(\"number\"!==s&&\"string\"!==s&&\"boolean\"!==s)return[new Ct(t.key,c,\"stop domain value must be a number, string, or boolean\")];if(\"number\"!==s&&\"categorical\"!==a){var u=\"number expected, \"+s+\" found\";return zr(i)&&void 0===a&&(u+='\\nIf you intended to use a categorical function, specify `\"type\": \"categorical\"`.'),[new Ct(t.key,c,u)]}return\"categorical\"!==a||\"number\"!==s||isFinite(l)&&Math.floor(l)===l?\"categorical\"!==a&&\"number\"===s&&void 0!==r&&l<r?[new Ct(t.key,c,\"stop domain values must appear in ascending order\")]:(r=l,\"categorical\"===a&&l in o?[new Ct(t.key,c,\"stop domain values must be unique\")]:(o[l]=!0,[])):[new Ct(t.key,c,\"integer expected, found \"+l)]}}function rn(t){var e=(\"property\"===t.expressionContext?Jr:Wr)(zt(t.value),t.valueSpec);if(\"error\"===e.result)return e.value.map((function(e){return new Ct(\"\"+t.key+e.key,t.value,e.message)}));var r=e.value.expression||e.value._styleExpression.expression;if(\"property\"===t.expressionContext&&\"text-font\"===t.propertyKey&&!r.outputDefined())return[new Ct(t.key,t.value,'Invalid data expression for \"'+t.propertyKey+'\". Output values must be contained as literals within the expression.')];if(\"property\"===t.expressionContext&&\"layout\"===t.propertyType&&!Be(r))return[new Ct(t.key,t.value,'\"feature-state\" data expressions are not supported with layout properties.')];if(\"filter\"===t.expressionContext&&!Be(r))return[new Ct(t.key,t.value,'\"feature-state\" data expressions are not supported with filters.')];if(t.expressionContext&&0===t.expressionContext.indexOf(\"cluster\")){if(!Ne(r,[\"zoom\",\"feature-state\"]))return[new Ct(t.key,t.value,'\"zoom\" and \"feature-state\" expressions are not supported with cluster properties.')];if(\"cluster-initial\"===t.expressionContext&&!Fe(r))return[new Ct(t.key,t.value,\"Feature data expressions are not supported with initial expression part of cluster properties.\")]}return[]}function nn(t){var e=t.key,r=t.value,n=t.valueSpec,i=[];return Array.isArray(n.values)?-1===n.values.indexOf(Ot(r))&&i.push(new Ct(e,r,\"expected one of [\"+n.values.join(\", \")+\"], 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on={type:\"boolean\",default:!1,transition:!1,\"property-type\":\"data-driven\",expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]}};function sn(t){if(null==t)return{filter:function(){return!0},needGeometry:!1};an(t)||(t=cn(t));var e=Wr(t,on);if(\"error\"===e.result)throw new Error(e.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return{filter:function(t,r,n){return e.value.evaluate(t,r,{},n)},needGeometry:function t(e){if(!Array.isArray(e))return!1;if(\"within\"===e[0])return!0;for(var r=1;r<e.length;r++)if(t(e[r]))return!0;return!1}(t)}}function ln(t,e){return t<e?-1:t>e?1:0}function cn(t){if(!t)return!0;var e,r=t[0];return t.length<=1?\"any\"!==r:\"==\"===r?un(t[1],t[2],\"==\"):\"!=\"===r?pn(un(t[1],t[2],\"==\")):\"<\"===r||\">\"===r||\"<=\"===r||\">=\"===r?un(t[1],t[2],r):\"any\"===r?(e=t.slice(1),[\"any\"].concat(e.map(cn))):\"all\"===r?[\"all\"].concat(t.slice(1).map(cn)):\"none\"===r?[\"all\"].concat(t.slice(1).map(cn).map(pn)):\"in\"===r?fn(t[1],t.slice(2)):\"!in\"===r?pn(fn(t[1],t.slice(2))):\"has\"===r?hn(t[1]):\"!has\"===r?pn(hn(t[1])):\"within\"!==r||t}function un(t,e,r){switch(t){case\"$type\":return[\"filter-type-\"+r,e];case\"$id\":return[\"filter-id-\"+r,e];default:return[\"filter-\"+r,t,e]}}function fn(t,e){if(0===e.length)return!1;switch(t){case\"$type\":return[\"filter-type-in\",[\"literal\",e]];case\"$id\":return[\"filter-id-in\",[\"literal\",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?[\"filter-in-large\",t,[\"literal\",e.sort(ln)]]:[\"filter-in-small\",t,[\"literal\",e]]}}function hn(t){switch(t){case\"$type\":return!0;case\"$id\":return[\"filter-has-id\"];default:return[\"filter-has\",t]}}function pn(t){return[\"!\",t]}function dn(t){return an(zt(t.value))?rn(It({},t,{expressionContext:\"filter\",valueSpec:{value:\"boolean\"}})):function t(e){var r=e.value,n=e.key;if(\"array\"!==Fr(r))return[new Ct(n,r,\"array expected, \"+Fr(r)+\" found\")];var i,a=e.styleSpec,o=[];if(r.length<1)return[new Ct(n,r,\"filter array must have at least 1 element\")];switch(o=o.concat(nn({key:n+\"[0]\",value:r[0],valueSpec:a.filter_operator,style:e.style,styleSpec:e.styleSpec})),Ot(r[0])){case\"<\":case\"<=\":case\">\":case\">=\":r.length>=2&&\"$type\"===Ot(r[1])&&o.push(new Ct(n,r,'\"$type\" cannot be use with operator \"'+r[0]+'\"'));case\"==\":case\"!=\":3!==r.length&&o.push(new Ct(n,r,'filter array for operator \"'+r[0]+'\" must have 3 elements'));case\"in\":case\"!in\":r.length>=2&&\"string\"!==(i=Fr(r[1]))&&o.push(new Ct(n+\"[1]\",r[1],\"string expected, \"+i+\" 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r=t.key,n=t.style,i=t.styleSpec,a=t.value,o=t.objectKey,s=i[e+\"_\"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if(\"paint\"===e&&l&&s[l[1]]&&s[l[1]].transition)return kn({key:r,value:a,valueSpec:i.transition,style:n,styleSpec:i});var c,u=t.valueSpec||s[o];if(!u)return[new Ct(r,a,'unknown property \"'+o+'\"')];if(\"string\"===Fr(a)&&zr(u)&&!u.tokens&&(c=/^{([^}]+)}$/.exec(a)))return[new Ct(r,a,'\"'+o+'\" does not support interpolation syntax\\nUse an identity property function instead: `{ \"type\": \"identity\", \"property\": '+JSON.stringify(c[1])+\" }`.\")];var f=[];return\"symbol\"===t.layerType&&(\"text-field\"===o&&n&&!n.glyphs&&f.push(new Ct(r,a,'use of \"text-field\" requires a style \"glyphs\" property')),\"text-font\"===o&&Br(zt(a))&&\"identity\"===Ot(a.type)&&f.push(new Ct(r,a,'\"text-font\" does not support identity 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Kr(t,e);if(Yr(t)){var r=Jr(t,e);if(\"error\"===r.result)throw new Error(r.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return r.value}var n=t;return\"string\"==typeof t&&\"color\"===e.type&&(n=te.parse(t)),{kind:\"constant\",evaluate:function(){return n}}}(void 0===e?t.specification.default:e,t.specification)};di.prototype.isDataDriven=function(){return\"source\"===this.expression.kind||\"composite\"===this.expression.kind},di.prototype.possiblyEvaluate=function(t,e,r){return this.property.possiblyEvaluate(this,t,e,r)};var mi=function(t){this.property=t,this.value=new di(t,void 0)};mi.prototype.transitioned=function(t,e){return new vi(this.property,this.value,e,u({},t.transition,this.transition),t.now)},mi.prototype.untransitioned=function(){return new vi(this.property,this.value,null,{},0)};var gi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitionablePropertyValues)};gi.prototype.getValue=function(t){return x(this._values[t].value.value)},gi.prototype.setValue=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new mi(this._values[t].property)),this._values[t].value=new di(this._values[t].property,null===e?void 0:x(e))},gi.prototype.getTransition=function(t){return x(this._values[t].transition)},gi.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new mi(this._values[t].property)),this._values[t].transition=x(e)||void 0},gi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i);var a=this.getTransition(n);void 0!==a&&(t[n+\"-transition\"]=a)}return t},gi.prototype.transitioned=function(t,e){for(var r=new yi(this._properties),n=0,i=Object.keys(this._values);n<i.length;n+=1){var a=i[n];r._values[a]=this._values[a].transitioned(t,e._values[a])}return r},gi.prototype.untransitioned=function(){for(var t=new yi(this._properties),e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e];t._values[n]=this._values[n].untransitioned()}return t};var vi=function(t,e,r,n,i){this.property=t,this.value=e,this.begin=i+n.delay||0,this.end=this.begin+n.duration||0,t.specification.transition&&(n.delay||n.duration)&&(this.prior=r)};vi.prototype.possiblyEvaluate=function(t,e,r){var n=t.now||0,i=this.value.possiblyEvaluate(t,e,r),a=this.prior;if(a){if(n>this.end)return this.prior=null,i;if(this.value.isDataDriven())return this.prior=null,i;if(n<this.begin)return a.possiblyEvaluate(t,e,r);var o=(n-this.begin)/(this.end-this.begin);return this.property.interpolate(a.possiblyEvaluate(t,e,r),i,function(t){if(t<=0)return 0;if(t>=1)return 1;var e=t*t,r=e*t;return 4*(t<.5?r:3*(t-e)+r-.75)}(o))}return i};var yi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};yi.prototype.possiblyEvaluate=function(t,e,r){for(var n=new _i(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n},yi.prototype.hasTransition=function(){for(var t=0,e=Object.keys(this._values);t<e.length;t+=1){var r=e[t];if(this._values[r].prior)return!0}return!1};var xi=function(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)};xi.prototype.getValue=function(t){return x(this._values[t].value)},xi.prototype.setValue=function(t,e){this._values[t]=new di(this._values[t].property,null===e?void 0:x(e))},xi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i)}return t},xi.prototype.possiblyEvaluate=function(t,e,r){for(var n=new _i(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n};var bi=function(t,e,r){this.property=t,this.value=e,this.parameters=r};bi.prototype.isConstant=function(){return\"constant\"===this.value.kind},bi.prototype.constantOr=function(t){return\"constant\"===this.value.kind?this.value.value:t},bi.prototype.evaluate=function(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)};var _i=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};_i.prototype.get=function(t){return this._values[t]};var wi=function(t){this.specification=t};wi.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},wi.prototype.interpolate=function(t,e,r){var n=Ge[this.specification.type];return n?n(t,e,r):t};var Ti=function(t,e){this.specification=t,this.overrides=e};Ti.prototype.possiblyEvaluate=function(t,e,r,n){return\"constant\"===t.expression.kind||\"camera\"===t.expression.kind?new bi(this,{kind:\"constant\",value:t.expression.evaluate(e,null,{},r,n)},e):new bi(this,t.expression,e)},Ti.prototype.interpolate=function(t,e,r){if(\"constant\"!==t.value.kind||\"constant\"!==e.value.kind)return t;if(void 0===t.value.value||void 0===e.value.value)return new bi(this,{kind:\"constant\",value:void 0},t.parameters);var n=Ge[this.specification.type];return n?new bi(this,{kind:\"constant\",value:n(t.value.value,e.value.value,r)},t.parameters):t},Ti.prototype.evaluate=function(t,e,r,n,i,a){return\"constant\"===t.kind?t.value:t.evaluate(e,r,n,i,a)};var ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0===t.value)return new bi(this,{kind:\"constant\",value:void 0},e);if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n),a=\"resolvedImage\"===t.property.specification.type&&\"string\"!=typeof i?i.name:i,o=this._calculate(a,a,a,e);return new bi(this,{kind:\"constant\",value:o},e)}if(\"camera\"===t.expression.kind){var s=this._calculate(t.expression.evaluate({zoom:e.zoom-1}),t.expression.evaluate({zoom:e.zoom}),t.expression.evaluate({zoom:e.zoom+1}),e);return new bi(this,{kind:\"constant\",value:s},e)}return new bi(this,t.expression,e)},e.prototype.evaluate=function(t,e,r,n,i,a){if(\"source\"===t.kind){var o=t.evaluate(e,r,n,i,a);return this._calculate(o,o,o,e)}return\"composite\"===t.kind?this._calculate(t.evaluate({zoom:Math.floor(e.zoom)-1},r,n),t.evaluate({zoom:Math.floor(e.zoom)},r,n),t.evaluate({zoom:Math.floor(e.zoom)+1},r,n),e):t.value},e.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},e.prototype.interpolate=function(t){return t},e}(Ti),Ai=function(t){this.specification=t};Ai.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0!==t.value){if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n);return this._calculate(i,i,i,e)}return this._calculate(t.expression.evaluate(new pi(Math.floor(e.zoom-1),e)),t.expression.evaluate(new pi(Math.floor(e.zoom),e)),t.expression.evaluate(new pi(Math.floor(e.zoom+1),e)),e)}},Ai.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},Ai.prototype.interpolate=function(t){return t};var Mi=function(t){this.specification=t};Mi.prototype.possiblyEvaluate=function(t,e,r,n){return!!t.expression.evaluate(e,null,{},r,n)},Mi.prototype.interpolate=function(){return!1};var Si=function(t){for(var e in this.properties=t,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[],t){var r=t[e];r.specification.overridable&&this.overridableProperties.push(e);var n=this.defaultPropertyValues[e]=new di(r,void 0),i=this.defaultTransitionablePropertyValues[e]=new mi(r);this.defaultTransitioningPropertyValues[e]=i.untransitioned(),this.defaultPossiblyEvaluatedValues[e]=n.possiblyEvaluate({})}};Nn(\"DataDrivenProperty\",Ti),Nn(\"DataConstantProperty\",wi),Nn(\"CrossFadedDataDrivenProperty\",ki),Nn(\"CrossFadedProperty\",Ai),Nn(\"ColorRampProperty\",Mi);var Ei=function(t){function e(e,r){if(t.call(this),this.id=e.id,this.type=e.type,this._featureFilter={filter:function(){return!0},needGeometry:!1},\"custom\"!==e.type&&(e=e,this.metadata=e.metadata,this.minzoom=e.minzoom,this.maxzoom=e.maxzoom,\"background\"!==e.type&&(this.source=e.source,this.sourceLayer=e[\"source-layer\"],this.filter=e.filter),r.layout&&(this._unevaluatedLayout=new xi(r.layout)),r.paint)){for(var n in this._transitionablePaint=new gi(r.paint),e.paint)this.setPaintProperty(n,e.paint[n],{validate:!1});for(var i in e.layout)this.setLayoutProperty(i,e.layout[i],{validate:!1});this._transitioningPaint=this._transitionablePaint.untransitioned(),this.paint=new _i(r.paint)}}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getCrossfadeParameters=function(){return this._crossfadeParameters},e.prototype.getLayoutProperty=function(t){return\"visibility\"===t?this.visibility:this._unevaluatedLayout.getValue(t)},e.prototype.setLayoutProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".layout.\"+t;if(this._validate(In,n,t,e,r))return}\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e},e.prototype.getPaintProperty=function(t){return g(t,\"-transition\")?this._transitionablePaint.getTransition(t.slice(0,-\"-transition\".length)):this._transitionablePaint.getValue(t)},e.prototype.setPaintProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".paint.\"+t;if(this._validate(Pn,n,t,e,r))return!1}if(g(t,\"-transition\"))return this._transitionablePaint.setTransition(t.slice(0,-\"-transition\".length),e||void 0),!1;var i=this._transitionablePaint._values[t],a=\"cross-faded-data-driven\"===i.property.specification[\"property-type\"],o=i.value.isDataDriven(),s=i.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var l=this._transitionablePaint._values[t].value;return l.isDataDriven()||o||a||this._handleOverridablePaintPropertyUpdate(t,s,l)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t<this.minzoom)||(!!(this.maxzoom&&t>=this.maxzoom)||\"none\"===this.visibility)},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,\"source-layer\":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),y(t,(function(t,e){return!(void 0===t||\"layout\"===e&&!Object.keys(t).length||\"paint\"===e&&!Object.keys(t).length)}))},e.prototype._validate=function(t,e,r,n,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&On(this,t.call(Ln,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:Lt,style:{glyphs:!0,sprite:!0}}))},e.prototype.is3D=function(){return!1},e.prototype.isTileClipped=function(){return!1},e.prototype.hasOffscreenPass=function(){return!1},e.prototype.resize=function(){},e.prototype.isStateDependent=function(){for(var t in this.paint._values){var e=this.paint.get(t);if(e instanceof bi&&zr(e.property.specification)&&((\"source\"===e.value.kind||\"composite\"===e.value.kind)&&e.value.isStateDependent))return!0}return!1},e}(Et),Li={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},Ci=function(t,e){this._structArray=t,this._pos1=e*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8},Pi=function(){this.isTransferred=!1,this.capacity=-1,this.resize(0)};function Ii(t,e){void 0===e&&(e=1);var r=0,n=0;return{members:t.map((function(t){var i,a=(i=t.type,Li[i].BYTES_PER_ELEMENT),o=r=Oi(r,Math.max(e,a)),s=t.components||1;return n=Math.max(n,a),r+=a*s,{name:t.name,type:t.type,components:s,offset:o}})),size:Oi(r,Math.max(n,e)),alignment:e}}function Oi(t,e){return Math.ceil(t/e)*e}Pi.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},Pi.deserialize=function(t){var e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e},Pi.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},Pi.prototype.clear=function(){this.length=0},Pi.prototype.resize=function(t){this.reserve(t),this.length=t},Pi.prototype.reserve=function(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);var e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}},Pi.prototype._refreshViews=function(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")};var zi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t},e}(Pi);zi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout2i4\",zi);var Di=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.int16[a+0]=e,this.int16[a+1]=r,this.int16[a+2]=n,this.int16[a+3]=i,t},e}(Pi);Di.prototype.bytesPerElement=8,Nn(\"StructArrayLayout4i8\",Di);var Ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Pi);Ri.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2i4i12\",Ri);var Fi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=i,this.uint8[l+6]=a,this.uint8[l+7]=o,t},e}(Pi);Fi.prototype.bytesPerElement=8,Nn(\"StructArrayLayout2i4ub8\",Fi);var Bi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c){var u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l,c)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u){var f=9*t,h=18*t;return this.uint16[f+0]=e,this.uint16[f+1]=r,this.uint16[f+2]=n,this.uint16[f+3]=i,this.uint16[f+4]=a,this.uint16[f+5]=o,this.uint16[f+6]=s,this.uint16[f+7]=l,this.uint8[h+16]=c,this.uint8[h+17]=u,t},e}(Pi);Bi.prototype.bytesPerElement=18,Nn(\"StructArrayLayout8ui2ub18\",Bi);var Ni=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f){var h=this.length;return this.resize(h+1),this.emplace(h,t,e,r,n,i,a,o,s,l,c,u,f)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h){var p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=i,this.uint16[p+4]=a,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=c,this.int16[p+9]=u,this.int16[p+10]=f,this.int16[p+11]=h,t},e}(Pi);Ni.prototype.bytesPerElement=24,Nn(\"StructArrayLayout4i4ui4i24\",Ni);var ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t},e}(Pi);ji.prototype.bytesPerElement=12,Nn(\"StructArrayLayout3f12\",ji);var Ui=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint32[r+0]=e,t},e}(Pi);Ui.prototype.bytesPerElement=4,Nn(\"StructArrayLayout1ul4\",Ui);var Vi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l){var c=this.length;return this.resize(c+1),this.emplace(c,t,e,r,n,i,a,o,s,l)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c){var u=10*t,f=5*t;return this.int16[u+0]=e,this.int16[u+1]=r,this.int16[u+2]=n,this.int16[u+3]=i,this.int16[u+4]=a,this.int16[u+5]=o,this.uint32[f+3]=s,this.uint16[u+8]=l,this.uint16[u+9]=c,t},e}(Pi);Vi.prototype.bytesPerElement=20,Nn(\"StructArrayLayout6i1ul2ui20\",Vi);var Hi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Pi);Hi.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2i2i2i12\",Hi);var qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n,i)},e.prototype.emplace=function(t,e,r,n,i,a){var o=4*t,s=8*t;return this.float32[o+0]=e,this.float32[o+1]=r,this.float32[o+2]=n,this.int16[s+6]=i,this.int16[s+7]=a,t},e}(Pi);qi.prototype.bytesPerElement=16,Nn(\"StructArrayLayout2f1f2i16\",qi);var Gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=12*t,o=3*t;return this.uint8[a+0]=e,this.uint8[a+1]=r,this.float32[o+1]=n,this.float32[o+2]=i,t},e}(Pi);Gi.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2ub2f12\",Gi);var Yi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.uint16[i+0]=e,this.uint16[i+1]=r,this.uint16[i+2]=n,t},e}(Pi);Yi.prototype.bytesPerElement=6,Nn(\"StructArrayLayout3ui6\",Yi);var Wi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g){var v=this.length;return this.resize(v+1),this.emplace(v,t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v){var y=24*t,x=12*t,b=48*t;return this.int16[y+0]=e,this.int16[y+1]=r,this.uint16[y+2]=n,this.uint16[y+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[y+10]=l,this.uint16[y+11]=c,this.uint16[y+12]=u,this.float32[x+7]=f,this.float32[x+8]=h,this.uint8[b+36]=p,this.uint8[b+37]=d,this.uint8[b+38]=m,this.uint32[x+10]=g,this.int16[y+22]=v,t},e}(Pi);Wi.prototype.bytesPerElement=48,Nn(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\",Wi);var Zi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,A,M,S){var E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,A,M,S)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,A,M,S,E){var L=34*t,C=17*t;return this.int16[L+0]=e,this.int16[L+1]=r,this.int16[L+2]=n,this.int16[L+3]=i,this.int16[L+4]=a,this.int16[L+5]=o,this.int16[L+6]=s,this.int16[L+7]=l,this.uint16[L+8]=c,this.uint16[L+9]=u,this.uint16[L+10]=f,this.uint16[L+11]=h,this.uint16[L+12]=p,this.uint16[L+13]=d,this.uint16[L+14]=m,this.uint16[L+15]=g,this.uint16[L+16]=v,this.uint16[L+17]=y,this.uint16[L+18]=x,this.uint16[L+19]=b,this.uint16[L+20]=_,this.uint16[L+21]=w,this.uint16[L+22]=T,this.uint32[C+12]=k,this.float32[C+13]=A,this.float32[C+14]=M,this.float32[C+15]=S,this.float32[C+16]=E,t},e}(Pi);Zi.prototype.bytesPerElement=68,Nn(\"StructArrayLayout8i15ui1ul4f68\",Zi);var Xi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.float32[r+0]=e,t},e}(Pi);Xi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout1f4\",Xi);var Ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.int16[i+0]=e,this.int16[i+1]=r,this.int16[i+2]=n,t},e}(Pi);Ji.prototype.bytesPerElement=6,Nn(\"StructArrayLayout3i6\",Ji);var Ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=2*t,a=4*t;return this.uint32[i+0]=e,this.uint16[a+2]=r,this.uint16[a+3]=n,t},e}(Pi);Ki.prototype.bytesPerElement=8,Nn(\"StructArrayLayout1ul2ui8\",Ki);var Qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.uint16[n+0]=e,this.uint16[n+1]=r,t},e}(Pi);Qi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout2ui4\",Qi);var $i=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint16[r+0]=e,t},e}(Pi);$i.prototype.bytesPerElement=2,Nn(\"StructArrayLayout1ui2\",$i);var ta=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.float32[n+0]=e,this.float32[n+1]=r,t},e}(Pi);ta.prototype.bytesPerElement=8,Nn(\"StructArrayLayout2f8\",ta);var ea=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,this.float32[a+3]=i,t},e}(Pi);ea.prototype.bytesPerElement=16,Nn(\"StructArrayLayout4f16\",ea);var ra=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorPointX:{configurable:!0},anchorPointY:{configurable:!0},x1:{configurable:!0},y1:{configurable:!0},x2:{configurable:!0},y2:{configurable:!0},featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0},anchorPoint:{configurable:!0}};return r.anchorPointX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorPointY.get=function(){return this._structArray.int16[this._pos2+1]},r.x1.get=function(){return this._structArray.int16[this._pos2+2]},r.y1.get=function(){return this._structArray.int16[this._pos2+3]},r.x2.get=function(){return this._structArray.int16[this._pos2+4]},r.y2.get=function(){return this._structArray.int16[this._pos2+5]},r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+8]},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.anchorPoint.get=function(){return new i(this.anchorPointX,this.anchorPointY)},Object.defineProperties(e.prototype,r),e}(Ci);ra.prototype.size=20;var na=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ra(this,t)},e}(Vi);Nn(\"CollisionBoxArray\",na);var ia=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},glyphStartIndex:{configurable:!0},numGlyphs:{configurable:!0},vertexStartIndex:{configurable:!0},lineStartIndex:{configurable:!0},lineLength:{configurable:!0},segment:{configurable:!0},lowerSize:{configurable:!0},upperSize:{configurable:!0},lineOffsetX:{configurable:!0},lineOffsetY:{configurable:!0},writingMode:{configurable:!0},placedOrientation:{configurable:!0},hidden:{configurable:!0},crossTileID:{configurable:!0},associatedIconIndex:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.glyphStartIndex.get=function(){return this._structArray.uint16[this._pos2+2]},r.numGlyphs.get=function(){return this._structArray.uint16[this._pos2+3]},r.vertexStartIndex.get=function(){return this._structArray.uint32[this._pos4+2]},r.lineStartIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.lineLength.get=function(){return this._structArray.uint32[this._pos4+4]},r.segment.get=function(){return this._structArray.uint16[this._pos2+10]},r.lowerSize.get=function(){return this._structArray.uint16[this._pos2+11]},r.upperSize.get=function(){return this._structArray.uint16[this._pos2+12]},r.lineOffsetX.get=function(){return this._structArray.float32[this._pos4+7]},r.lineOffsetY.get=function(){return this._structArray.float32[this._pos4+8]},r.writingMode.get=function(){return this._structArray.uint8[this._pos1+36]},r.placedOrientation.get=function(){return this._structArray.uint8[this._pos1+37]},r.placedOrientation.set=function(t){this._structArray.uint8[this._pos1+37]=t},r.hidden.get=function(){return this._structArray.uint8[this._pos1+38]},r.hidden.set=function(t){this._structArray.uint8[this._pos1+38]=t},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+10]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+10]=t},r.associatedIconIndex.get=function(){return this._structArray.int16[this._pos2+22]},Object.defineProperties(e.prototype,r),e}(Ci);ia.prototype.size=48;var aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ia(this,t)},e}(Wi);Nn(\"PlacedSymbolArray\",aa);var oa=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},rightJustifiedTextSymbolIndex:{configurable:!0},centerJustifiedTextSymbolIndex:{configurable:!0},leftJustifiedTextSymbolIndex:{configurable:!0},verticalPlacedTextSymbolIndex:{configurable:!0},placedIconSymbolIndex:{configurable:!0},verticalPlacedIconSymbolIndex:{configurable:!0},key:{configurable:!0},textBoxStartIndex:{configurable:!0},textBoxEndIndex:{configurable:!0},verticalTextBoxStartIndex:{configurable:!0},verticalTextBoxEndIndex:{configurable:!0},iconBoxStartIndex:{configurable:!0},iconBoxEndIndex:{configurable:!0},verticalIconBoxStartIndex:{configurable:!0},verticalIconBoxEndIndex:{configurable:!0},featureIndex:{configurable:!0},numHorizontalGlyphVertices:{configurable:!0},numVerticalGlyphVertices:{configurable:!0},numIconVertices:{configurable:!0},numVerticalIconVertices:{configurable:!0},useRuntimeCollisionCircles:{configurable:!0},crossTileID:{configurable:!0},textBoxScale:{configurable:!0},textOffset0:{configurable:!0},textOffset1:{configurable:!0},collisionCircleDiameter:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.rightJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+2]},r.centerJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+3]},r.leftJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+4]},r.verticalPlacedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+5]},r.placedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+6]},r.verticalPlacedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+7]},r.key.get=function(){return this._structArray.uint16[this._pos2+8]},r.textBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.textBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+10]},r.verticalTextBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+11]},r.verticalTextBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+12]},r.iconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+13]},r.iconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+14]},r.verticalIconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+15]},r.verticalIconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+16]},r.featureIndex.get=function(){return this._structArray.uint16[this._pos2+17]},r.numHorizontalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+18]},r.numVerticalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+19]},r.numIconVertices.get=function(){return this._structArray.uint16[this._pos2+20]},r.numVerticalIconVertices.get=function(){return this._structArray.uint16[this._pos2+21]},r.useRuntimeCollisionCircles.get=function(){return 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c=t.readVarint();n=7&c,a=c>>3}if(a--,1===n||2===n)o+=t.readSVarint(),s+=t.readSVarint(),1===n&&(e&&l.push(e),e=[]),e.push(new i(o,s));else{if(7!==n)throw new Error(\"unknown command \"+n);e&&e.push(e[0].clone())}}return e&&l.push(e),l},ws.prototype.bbox=function(){var t=this._pbf;t.pos=this._geometry;for(var e=t.readVarint()+t.pos,r=1,n=0,i=0,a=0,o=1/0,s=-1/0,l=1/0,c=-1/0;t.pos<e;){if(n<=0){var u=t.readVarint();r=7&u,n=u>>3}if(n--,1===r||2===r)(i+=t.readSVarint())<o&&(o=i),i>s&&(s=i),(a+=t.readSVarint())<l&&(l=a),a>c&&(c=a);else if(7!==r)throw new Error(\"unknown command \"+r)}return[o,l,s,c]},ws.prototype.toGeoJSON=function(t,e,r){var n,i,a=this.extent*Math.pow(2,r),o=this.extent*t,s=this.extent*e,l=this.loadGeometry(),c=ws.types[this.type];function u(t){for(var e=0;e<t.length;e++){var r=t[e],n=180-360*(r.y+s)/a;t[e]=[360*(r.x+o)/a-180,360/Math.PI*Math.atan(Math.exp(n*Math.PI/180))-90]}}switch(this.type){case 1:var f=[];for(n=0;n<l.length;n++)f[n]=l[n][0];u(l=f);break;case 2:for(n=0;n<l.length;n++)u(l[n]);break;case 3:for(l=function(t){var e=t.length;if(e<=1)return[t];for(var r,n,i=[],a=0;a<e;a++){var o=ks(t[a]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&i.push(r),r=[t[a]]):r.push(t[a]))}r&&i.push(r);return i}(l),n=0;n<l.length;n++)for(i=0;i<l[n].length;i++)u(l[n][i])}1===l.length?l=l[0]:c=\"Multi\"+c;var h={type:\"Feature\",geometry:{type:c,coordinates:l},properties:this.properties};return\"id\"in this&&(h.id=this.id),h};var As=Ms;function Ms(t,e){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=t,this._keys=[],this._values=[],this._features=[],t.readFields(Ss,this,e),this.length=this._features.length}function Ss(t,e,r){15===t?e.version=r.readVarint():1===t?e.name=r.readString():5===t?e.extent=r.readVarint():2===t?e._features.push(r.pos):3===t?e._keys.push(r.readString()):4===t&&e._values.push(function(t){var e=null,r=t.readVarint()+t.pos;for(;t.pos<r;){var n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}function Es(t,e,r){if(3===t){var n=new As(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Ms.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error(\"feature index out of bounds\");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new _s(this._pbf,e,this.extent,this._keys,this._values)};var Ls={VectorTile:function(t,e){this.layers=t.readFields(Es,{},e)},VectorTileFeature:_s,VectorTileLayer:As},Cs=Ls.VectorTileFeature.types,Ps=Math.pow(2,13);function Is(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*Ps)+o,i*Ps*2,a*Ps*2,Math.round(s))}var Os=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new Ri,this.indexArray=new Yi,this.programConfigurations=new Ua(bs,t.layers,t.zoom),this.segments=new pa,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function zs(t,e){return t.x===e.x&&(t.x<0||t.x>8192)||t.y===e.y&&(t.y<0||t.y>8192)}function Ds(t){return t.every((function(t){return t.x<0}))||t.every((function(t){return t.x>8192}))||t.every((function(t){return t.y<0}))||t.every((function(t){return t.y>8192}))}Os.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=ds(\"fill-extrusion\",this.layers,e);for(var n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.feature,s=a.id,l=a.index,c=a.sourceLayerIndex,u=this.layers[0]._featureFilter.needGeometry,f={type:o.type,id:s,properties:o.properties,geometry:u?Ya(o):[]};if(this.layers[0]._featureFilter.filter(new pi(this.zoom),f,r)){var h={id:s,sourceLayerIndex:c,index:l,geometry:u?f.geometry:Ya(o),properties:o.properties,type:o.type,patterns:{}};void 0!==o.id&&(h.id=o.id),this.hasPattern?this.features.push(ms(\"fill-extrusion\",this.layers,h,this.zoom,e)):this.addFeature(h,h.geometry,l,r,{}),e.featureIndex.insert(o,h.geometry,l,c,this.index,!0)}}},Os.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.features;n<i.length;n+=1){var a=i[n],o=a.geometry;this.addFeature(a,o,a.index,e,r)}},Os.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},Os.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},Os.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Os.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,bs),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},Os.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Os.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=hs(e,500);a<o.length;a+=1){for(var s=o[a],l=0,c=0,u=s;c<u.length;c+=1){l+=u[c].length}for(var f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),h=0,p=s;h<p.length;h+=1){var d=p[h];if(0!==d.length&&!Ds(d))for(var m=0,g=0;g<d.length;g++){var v=d[g];if(g>=1){var y=d[g-1];if(!zs(v,y)){f.vertexLength+4>pa.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=v.sub(y)._perp()._unit(),b=y.dist(v);m+b>32768&&(m=0),Is(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,0,m),Is(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,1,m),m+=b,Is(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,m),Is(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,m);var _=f.vertexLength;this.indexArray.emplaceBack(_,_+2,_+1),this.indexArray.emplaceBack(_+1,_+2,_+3),f.vertexLength+=4,f.primitiveLength+=2}}}}if(f.vertexLength+l>pa.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),\"Polygon\"===Cs[t.type]){for(var w=[],T=[],k=f.vertexLength,A=0,M=s;A<M.length;A+=1){var S=M[A];if(0!==S.length){S!==s[0]&&T.push(w.length/2);for(var E=0;E<S.length;E++){var L=S[E];Is(this.layoutVertexArray,L.x,L.y,0,0,1,1,0),w.push(L.x),w.push(L.y)}}}for(var C=Do(w,T),P=0;P<C.length;P+=3)this.indexArray.emplaceBack(k+C[P],k+C[P+2],k+C[P+1]);f.primitiveLength+=C.length/3,f.vertexLength+=l}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},Nn(\"FillExtrusionBucket\",Os,{omit:[\"layers\",\"features\"]});var Rs={paint:new Si({\"fill-extrusion-opacity\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new Ti(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new ki(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new Ti(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new Ti(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})},Fs=function(t){function e(e){t.call(this,e,Rs)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new Os(t)},e.prototype.queryRadius=function(){return so(this.paint.get(\"fill-extrusion-translate\"))},e.prototype.is3D=function(){return!0},e.prototype.queryIntersectsFeature=function(t,e,r,n,a,o,s,l){var c=lo(t,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),o.angle,s),u=this.paint.get(\"fill-extrusion-height\").evaluate(e,r),f=this.paint.get(\"fill-extrusion-base\").evaluate(e,r),h=function(t,e,r,n){for(var a=[],o=0,s=t;o<s.length;o+=1){var l=s[o],c=[l.x,l.y,n,1];xo(c,c,e),a.push(new i(c[0]/c[3],c[1]/c[3]))}return a}(c,l,0,0),p=function(t,e,r,n){for(var a=[],o=[],s=n[8]*e,l=n[9]*e,c=n[10]*e,u=n[11]*e,f=n[8]*r,h=n[9]*r,p=n[10]*r,d=n[11]*r,m=0,g=t;m<g.length;m+=1){for(var v=g[m],y=[],x=[],b=0,_=v;b<_.length;b+=1){var w=_[b],T=w.x,k=w.y,A=n[0]*T+n[4]*k+n[12],M=n[1]*T+n[5]*k+n[13],S=n[2]*T+n[6]*k+n[14],E=n[3]*T+n[7]*k+n[15],L=S+c,C=E+u,P=A+f,I=M+h,O=S+p,z=E+d,D=new i((A+s)/C,(M+l)/C);D.z=L/C,y.push(D);var R=new i(P/z,I/z);R.z=O/z,x.push(R)}a.push(y),o.push(x)}return[a,o]}(n,f,u,l);return function(t,e,r){var n=1/0;Ka(r,e)&&(n=Ns(r,e[0]));for(var i=0;i<e.length;i++)for(var a=e[i],o=t[i],s=0;s<a.length-1;s++){var l=a[s],c=a[s+1],u=o[s],f=o[s+1],h=[l,c,f,u,l];Xa(r,h)&&(n=Math.min(n,Ns(r,h)))}return n!==1/0&&n}(p[0],p[1],h)},e}(Ei);function Bs(t,e){return t.x*e.x+t.y*e.y}function Ns(t,e){if(1===t.length){for(var r,n=0,i=e[n++];!r||i.equals(r);)if(!(r=e[n++]))return 1/0;for(;n<e.length;n++){var a=e[n],o=t[0],s=r.sub(i),l=a.sub(i),c=o.sub(i),u=Bs(s,s),f=Bs(s,l),h=Bs(l,l),p=Bs(c,s),d=Bs(c,l),m=u*h-f*f,g=(h*p-f*d)/m,v=(u*d-f*p)/m,y=1-g-v,x=i.z*y+r.z*g+a.z*v;if(isFinite(x))return x}return 1/0}for(var b=1/0,_=0,w=e;_<w.length;_+=1){var T=w[_];b=Math.min(b,T.z)}return b}var js=Ii([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4).members,Us=Ls.VectorTileFeature.types,Vs=Math.cos(Math.PI/180*37.5),Hs=Math.pow(2,14)/.5,qs=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.layoutVertexArray=new Fi,this.indexArray=new Yi,this.programConfigurations=new Ua(js,t.layers,t.zoom),this.segments=new pa,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};qs.prototype.populate=function(t,e,r){this.hasPattern=ds(\"line\",this.layers,e);for(var n=this.layers[0].layout.get(\"line-sort-key\"),i=[],a=0,o=t;a<o.length;a+=1){var s=o[a],l=s.feature,c=s.id,u=s.index,f=s.sourceLayerIndex,h=this.layers[0]._featureFilter.needGeometry,p={type:l.type,id:c,properties:l.properties,geometry:h?Ya(l):[]};if(this.layers[0]._featureFilter.filter(new pi(this.zoom),p,r)){h||(p.geometry=Ya(l));var d=n?n.evaluate(p,{},r):void 0,m={id:c,properties:l.properties,type:l.type,sourceLayerIndex:f,index:u,geometry:p.geometry,patterns:{},sortKey:d};i.push(m)}}n&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var g=0,v=i;g<v.length;g+=1){var y=v[g],x=y,b=x.geometry,_=x.index,w=x.sourceLayerIndex;if(this.hasPattern){var T=ms(\"line\",this.layers,y,this.zoom,e);this.patternFeatures.push(T)}else this.addFeature(y,b,_,r,{});var k=t[_].feature;e.featureIndex.insert(k,b,_,w,this.index)}},qs.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},qs.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.patternFeatures;n<i.length;n+=1){var a=i[n];this.addFeature(a,a.geometry,a.index,e,r)}},qs.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},qs.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},qs.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,js),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},qs.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},qs.prototype.addFeature=function(t,e,r,n,i){for(var a=this.layers[0].layout,o=a.get(\"line-join\").evaluate(t,{}),s=a.get(\"line-cap\"),l=a.get(\"line-miter-limit\"),c=a.get(\"line-round-limit\"),u=0,f=e;u<f.length;u+=1){var h=f[u];this.addLine(h,t,o,s,l,c)}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},qs.prototype.addLine=function(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,e.properties&&e.properties.hasOwnProperty(\"mapbox_clip_start\")&&e.properties.hasOwnProperty(\"mapbox_clip_end\")){this.clipStart=+e.properties.mapbox_clip_start,this.clipEnd=+e.properties.mapbox_clip_end;for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance()}for(var s=\"Polygon\"===Us[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var c=0;c<l-1&&t[c].equals(t[c+1]);)c++;if(!(l<(s?3:2))){\"bevel\"===r&&(i=1.05);var u,f=this.overscaling<=16?122880/(512*this.overscaling):0,h=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 0,d=void 0,m=void 0,g=void 0;this.e1=this.e2=-1,s&&(u=t[l-2],g=t[c].sub(u)._unit()._perp());for(var v=c;v<l;v++)if(!(d=v===l-1?s?t[c+1]:void 0:t[v+1])||!t[v].equals(d)){g&&(m=g),u&&(p=u),u=t[v],g=d?d.sub(u)._unit()._perp():m;var y=(m=m||g).add(g);0===y.x&&0===y.y||y._unit();var x=m.x*g.x+m.y*g.y,b=y.x*g.x+y.y*g.y,_=0!==b?1/b:1/0,w=2*Math.sqrt(2-2*b),T=b<Vs&&p&&d,k=m.x*g.y-m.y*g.x>0;if(T&&v>c){var A=u.dist(p);if(A>2*f){var M=u.sub(u.sub(p)._mult(f/A)._round());this.updateDistance(p,M),this.addCurrentVertex(M,m,0,0,h),p=M}}var S=p&&d,E=S?r:s?\"butt\":n;if(S&&\"round\"===E&&(_<a?E=\"miter\":_<=2&&(E=\"fakeround\")),\"miter\"===E&&_>i&&(E=\"bevel\"),\"bevel\"===E&&(_>2&&(E=\"flipbevel\"),_<i&&(E=\"miter\")),p&&this.updateDistance(p,u),\"miter\"===E)y._mult(_),this.addCurrentVertex(u,y,0,0,h);else if(\"flipbevel\"===E){if(_>100)y=g.mult(-1);else{var L=_*m.add(g).mag()/m.sub(g).mag();y._perp()._mult(L*(k?-1:1))}this.addCurrentVertex(u,y,0,0,h),this.addCurrentVertex(u,y.mult(-1),0,0,h)}else if(\"bevel\"===E||\"fakeround\"===E){var C=-Math.sqrt(_*_-1),P=k?C:0,I=k?0:C;if(p&&this.addCurrentVertex(u,m,P,I,h),\"fakeround\"===E)for(var O=Math.round(180*w/Math.PI/20),z=1;z<O;z++){var D=z/O;if(.5!==D){var R=D-.5;D+=D*R*(D-1)*((1.0904+x*(x*(3.55645-1.43519*x)-3.2452))*R*R+(.848013+x*(.215638*x-1.06021)))}var F=g.sub(m)._mult(D)._add(m)._unit()._mult(k?-1:1);this.addHalfVertex(u,F.x,F.y,!1,k,0,h)}d&&this.addCurrentVertex(u,g,-P,-I,h)}else if(\"butt\"===E)this.addCurrentVertex(u,y,0,0,h);else if(\"square\"===E){var B=p?1:-1;this.addCurrentVertex(u,y,B,B,h)}else\"round\"===E&&(p&&(this.addCurrentVertex(u,m,0,0,h),this.addCurrentVertex(u,m,1,1,h,!0)),d&&(this.addCurrentVertex(u,g,-1,-1,h,!0),this.addCurrentVertex(u,g,0,0,h)));if(T&&v<l-1){var N=u.dist(d);if(N>2*f){var j=u.add(d.sub(u)._mult(f/N)._round());this.updateDistance(u,j),this.addCurrentVertex(j,g,0,0,h),u=j}}}}},qs.prototype.addCurrentVertex=function(t,e,r,n,i,a){void 0===a&&(a=!1);var o=e.x+e.y*r,s=e.y-e.x*r,l=-e.x+e.y*n,c=-e.y-e.x*n;this.addHalfVertex(t,o,s,a,!1,r,i),this.addHalfVertex(t,l,c,a,!0,-n,i),this.distance>Hs/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,i,a))},qs.prototype.addHalfVertex=function(t,e,r,n,i,a,o){var s=t.x,l=t.y,c=.5*this.scaledDistance;this.layoutVertexArray.emplaceBack((s<<1)+(n?1:0),(l<<1)+(i?1:0),Math.round(63*e)+128,Math.round(63*r)+128,1+(0===a?0:a<0?-1:1)|(63&c)<<2,c>>6);var u=o.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,u),o.primitiveLength++),i?this.e2=u:this.e1=u},qs.prototype.updateScaledDistance=function(){this.scaledDistance=this.totalDistance>0?(this.clipStart+(this.clipEnd-this.clipStart)*this.distance/this.totalDistance)*(Hs-1):this.distance},qs.prototype.updateDistance=function(t,e){this.distance+=t.dist(e),this.updateScaledDistance()},Nn(\"LineBucket\",qs,{omit:[\"layers\",\"patternFeatures\"]});var Gs=new Si({\"line-cap\":new wi(Lt.layout_line[\"line-cap\"]),\"line-join\":new Ti(Lt.layout_line[\"line-join\"]),\"line-miter-limit\":new wi(Lt.layout_line[\"line-miter-limit\"]),\"line-round-limit\":new wi(Lt.layout_line[\"line-round-limit\"]),\"line-sort-key\":new Ti(Lt.layout_line[\"line-sort-key\"])}),Ys={paint:new Si({\"line-opacity\":new Ti(Lt.paint_line[\"line-opacity\"]),\"line-color\":new Ti(Lt.paint_line[\"line-color\"]),\"line-translate\":new wi(Lt.paint_line[\"line-translate\"]),\"line-translate-anchor\":new wi(Lt.paint_line[\"line-translate-anchor\"]),\"line-width\":new Ti(Lt.paint_line[\"line-width\"]),\"line-gap-width\":new Ti(Lt.paint_line[\"line-gap-width\"]),\"line-offset\":new Ti(Lt.paint_line[\"line-offset\"]),\"line-blur\":new Ti(Lt.paint_line[\"line-blur\"]),\"line-dasharray\":new Ai(Lt.paint_line[\"line-dasharray\"]),\"line-pattern\":new ki(Lt.paint_line[\"line-pattern\"]),\"line-gradient\":new Mi(Lt.paint_line[\"line-gradient\"])}),layout:Gs},Ws=new(function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(e,r){return r=new pi(Math.floor(r.zoom),{now:r.now,fadeDuration:r.fadeDuration,zoomHistory:r.zoomHistory,transition:r.transition}),t.prototype.possiblyEvaluate.call(this,e,r)},e.prototype.evaluate=function(e,r,n,i){return r=u({},r,{zoom:Math.floor(r.zoom)}),t.prototype.evaluate.call(this,e,r,n,i)},e}(Ti))(Ys.paint.properties[\"line-width\"].specification);Ws.useIntegerZoom=!0;var Zs=function(t){function e(e){t.call(this,e,Ys)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._handleSpecialPaintPropertyUpdate=function(t){\"line-gradient\"===t&&this._updateGradient()},e.prototype._updateGradient=function(){var t=this._transitionablePaint._values[\"line-gradient\"].value.expression;this.gradient=Co(t,\"lineProgress\"),this.gradientTexture=null},e.prototype.recalculate=function(e,r){t.prototype.recalculate.call(this,e,r),this.paint._values[\"line-floorwidth\"]=Ws.possiblyEvaluate(this._transitioningPaint._values[\"line-width\"].value,e)},e.prototype.createBucket=function(t){return new qs(t)},e.prototype.queryRadius=function(t){var e=t,r=Xs(oo(\"line-width\",this,e),oo(\"line-gap-width\",this,e)),n=oo(\"line-offset\",this,e);return r/2+Math.abs(n)+so(this.paint.get(\"line-translate\"))},e.prototype.queryIntersectsFeature=function(t,e,r,n,a,o,s){var l=lo(t,this.paint.get(\"line-translate\"),this.paint.get(\"line-translate-anchor\"),o.angle,s),c=s/2*Xs(this.paint.get(\"line-width\").evaluate(e,r),this.paint.get(\"line-gap-width\").evaluate(e,r)),u=this.paint.get(\"line-offset\").evaluate(e,r);return u&&(n=function(t,e){for(var r=[],n=new i(0,0),a=0;a<t.length;a++){for(var o=t[a],s=[],l=0;l<o.length;l++){var c=o[l-1],u=o[l],f=o[l+1],h=0===l?n:u.sub(c)._unit()._perp(),p=l===o.length-1?n:f.sub(u)._unit()._perp(),d=h._add(p)._unit(),m=d.x*p.x+d.y*p.y;d._mult(1/m),s.push(d._mult(e)._add(u))}r.push(s)}return r}(n,u*s)),function(t,e,r){for(var n=0;n<e.length;n++){var i=e[n];if(t.length>=3)for(var a=0;a<i.length;a++)if(io(t,i[a]))return!0;if(Qa(t,i,r))return!0}return!1}(l,n,c)},e.prototype.isTileClipped=function(){return!0},e}(Ei);function Xs(t,e){return e>0?e+2*t:t}var 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nl=function(t,e,r,n,i){var a,o,s=8*i-n-1,l=(1<<s)-1,c=l>>1,u=-7,f=r?i-1:0,h=r?-1:1,p=t[e+f];for(f+=h,a=p&(1<<-u)-1,p>>=-u,u+=s;u>0;a=256*a+t[e+f],f+=h,u-=8);for(o=a&(1<<-u)-1,a>>=-u,u+=n;u>0;o=256*o+t[e+f],f+=h,u-=8);if(0===a)a=1-c;else{if(a===l)return o?NaN:1/0*(p?-1:1);o+=Math.pow(2,n),a-=c}return(p?-1:1)*o*Math.pow(2,a-n)},il=function(t,e,r,n,i,a){var o,s,l,c=8*a-i-1,u=(1<<c)-1,f=u>>1,h=23===i?Math.pow(2,-24)-Math.pow(2,-77):0,p=n?0:a-1,d=n?1:-1,m=e<0||0===e&&1/e<0?1:0;for(e=Math.abs(e),isNaN(e)||e===1/0?(s=isNaN(e)?1:0,o=u):(o=Math.floor(Math.log(e)/Math.LN2),e*(l=Math.pow(2,-o))<1&&(o--,l*=2),(e+=o+f>=1?h/l:h*Math.pow(2,1-f))*l>=2&&(o++,l/=2),o+f>=u?(s=0,o=u):o+f>=1?(s=(e*l-1)*Math.pow(2,i),o+=f):(s=e*Math.pow(2,f-1)*Math.pow(2,i),o=0));i>=8;t[r+p]=255&s,p+=d,s/=256,i-=8);for(o=o<<i|s,c+=i;c>0;t[r+p]=255&o,p+=d,o/=256,c-=8);t[r+p-d]|=128*m},al=ol;function ol(t){this.buf=ArrayBuffer.isView&&ArrayBuffer.isView(t)?t:new 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e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed32());return t},readPackedFixed64:function(t){if(this.type!==ol.Bytes)return t.push(this.readFixed64());var e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readFixed64());return t},readPackedSFixed64:function(t){if(this.type!==ol.Bytes)return t.push(this.readSFixed64());var e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed64());return t},skip:function(t){var e=7&t;if(e===ol.Varint)for(;this.buf[this.pos++]>127;);else if(e===ol.Bytes)this.pos=this.readVarint()+this.pos;else if(e===ol.Fixed32)this.pos+=4;else{if(e!==ol.Fixed64)throw new Error(\"Unimplemented type: \"+e);this.pos+=8}},writeTag:function(t,e){this.writeVarint(t<<3|e)},realloc:function(t){for(var e=this.length||16;e<this.pos+t;)e*=2;if(e!==this.length){var r=new Uint8Array(e);r.set(this.buf),this.buf=r,this.length=e}},finish:function(){return this.length=this.pos,this.pos=0,this.buf.subarray(0,this.length)},writeFixed32:function(t){this.realloc(4),_l(this.buf,t,this.pos),this.pos+=4},writeSFixed32:function(t){this.realloc(4),_l(this.buf,t,this.pos),this.pos+=4},writeFixed64:function(t){this.realloc(8),_l(this.buf,-1&t,this.pos),_l(this.buf,Math.floor(t*(1/4294967296)),this.pos+4),this.pos+=8},writeSFixed64:function(t){this.realloc(8),_l(this.buf,-1&t,this.pos),_l(this.buf,Math.floor(t*(1/4294967296)),this.pos+4),this.pos+=8},writeVarint:function(t){(t=+t||0)>268435455||t<0?function(t,e){var r,n;t>=0?(r=t%4294967296|0,n=t/4294967296|0):(n=~(-t/4294967296),4294967295^(r=~(-t%4294967296))?r=r+1|0:(r=0,n=n+1|0));if(t>=0x10000000000000000||t<-0x10000000000000000)throw new Error(\"Given varint doesn't fit into 10 bytes\");e.realloc(10),function(t,e,r){r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos]=127&t}(r,0,e),function(t,e){var r=(7&t)<<4;if(e.buf[e.pos++]|=r|((t>>>=3)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;e.buf[e.pos++]=127&t}(n,e)}(t,this):(this.realloc(4),this.buf[this.pos++]=127&t|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=t>>>7&127))))},writeSVarint:function(t){this.writeVarint(t<0?2*-t-1:2*t)},writeBoolean:function(t){this.writeVarint(Boolean(t))},writeString:function(t){t=String(t),this.realloc(4*t.length),this.pos++;var e=this.pos;this.pos=function(t,e,r){for(var n,i,a=0;a<e.length;a++){if((n=e.charCodeAt(a))>55295&&n<57344){if(!i){n>56319||a+1===e.length?(t[r++]=239,t[r++]=191,t[r++]=189):i=n;continue}if(n<56320){t[r++]=239,t[r++]=191,t[r++]=189,i=n;continue}n=i-55296<<10|n-56320|65536,i=null}else i&&(t[r++]=239,t[r++]=191,t[r++]=189,i=null);n<128?t[r++]=n:(n<2048?t[r++]=n>>6|192:(n<65536?t[r++]=n>>12|224:(t[r++]=n>>18|240,t[r++]=n>>12&63|128),t[r++]=n>>6&63|128),t[r++]=63&n|128)}return r}(this.buf,t,this.pos);var r=this.pos-e;r>=128&&ul(e,r,this),this.pos=e-1,this.writeVarint(r),this.pos+=r},writeFloat:function(t){this.realloc(4),il(this.buf,t,this.pos,!0,23,4),this.pos+=4},writeDouble:function(t){this.realloc(8),il(this.buf,t,this.pos,!0,52,8),this.pos+=8},writeBytes:function(t){var e=t.length;this.writeVarint(e),this.realloc(e);for(var r=0;r<e;r++)this.buf[this.pos++]=t[r]},writeRawMessage:function(t,e){this.pos++;var r=this.pos;t(e,this);var n=this.pos-r;n>=128&&ul(r,n,this),this.pos=r-1,this.writeVarint(n),this.pos+=n},writeMessage:function(t,e,r){this.writeTag(t,ol.Bytes),this.writeRawMessage(e,r)},writePackedVarint:function(t,e){e.length&&this.writeMessage(t,fl,e)},writePackedSVarint:function(t,e){e.length&&this.writeMessage(t,hl,e)},writePackedBoolean:function(t,e){e.length&&this.writeMessage(t,ml,e)},writePackedFloat:function(t,e){e.length&&this.writeMessage(t,pl,e)},writePackedDouble:function(t,e){e.length&&this.writeMessage(t,dl,e)},writePackedFixed32:function(t,e){e.length&&this.writeMessage(t,gl,e)},writePackedSFixed32:function(t,e){e.length&&this.writeMessage(t,vl,e)},writePackedFixed64:function(t,e){e.length&&this.writeMessage(t,yl,e)},writePackedSFixed64:function(t,e){e.length&&this.writeMessage(t,xl,e)},writeBytesField:function(t,e){this.writeTag(t,ol.Bytes),this.writeBytes(e)},writeFixed32Field:function(t,e){this.writeTag(t,ol.Fixed32),this.writeFixed32(e)},writeSFixed32Field:function(t,e){this.writeTag(t,ol.Fixed32),this.writeSFixed32(e)},writeFixed64Field:function(t,e){this.writeTag(t,ol.Fixed64),this.writeFixed64(e)},writeSFixed64Field:function(t,e){this.writeTag(t,ol.Fixed64),this.writeSFixed64(e)},writeVarintField:function(t,e){this.writeTag(t,ol.Varint),this.writeVarint(e)},writeSVarintField:function(t,e){this.writeTag(t,ol.Varint),this.writeSVarint(e)},writeStringField:function(t,e){this.writeTag(t,ol.Bytes),this.writeString(e)},writeFloatField:function(t,e){this.writeTag(t,ol.Fixed32),this.writeFloat(e)},writeDoubleField:function(t,e){this.writeTag(t,ol.Fixed64),this.writeDouble(e)},writeBooleanField:function(t,e){this.writeVarintField(t,Boolean(e))}};function Tl(t,e,r){1===t&&r.readMessage(kl,e)}function kl(t,e,r){if(3===t){var n=r.readMessage(Al,{}),i=n.id,a=n.bitmap,o=n.width,s=n.height,l=n.left,c=n.top,u=n.advance;e.push({id:i,bitmap:new So({width:o+6,height:s+6},a),metrics:{width:o,height:s,left:l,top:c,advance:u}})}}function Al(t,e,r){1===t?e.id=r.readVarint():2===t?e.bitmap=r.readBytes():3===t?e.width=r.readVarint():4===t?e.height=r.readVarint():5===t?e.left=r.readSVarint():6===t?e.top=r.readSVarint():7===t&&(e.advance=r.readVarint())}function Ml(t){for(var e=0,r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];e+=a.w*a.h,r=Math.max(r,a.w)}t.sort((function(t,e){return e.h-t.h}));for(var o=[{x:0,y:0,w:Math.max(Math.ceil(Math.sqrt(e/.95)),r),h:1/0}],s=0,l=0,c=0,u=t;c<u.length;c+=1)for(var f=u[c],h=o.length-1;h>=0;h--){var p=o[h];if(!(f.w>p.w||f.h>p.h)){if(f.x=p.x,f.y=p.y,l=Math.max(l,f.y+f.h),s=Math.max(s,f.x+f.w),f.w===p.w&&f.h===p.h){var d=o.pop();h<o.length&&(o[h]=d)}else 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Eo({width:o||1,height:s||1});for(var c in t){var u=t[c],f=r[c].paddedRect;Eo.copy(u.data,l,{x:0,y:0},{x:f.x+1,y:f.y+1},u.data)}for(var h in e){var p=e[h],d=n[h].paddedRect,m=d.x+1,g=d.y+1,v=p.data.width,y=p.data.height;Eo.copy(p.data,l,{x:0,y:0},{x:m,y:g},p.data),Eo.copy(p.data,l,{x:0,y:y-1},{x:m,y:g-1},{width:v,height:1}),Eo.copy(p.data,l,{x:0,y:0},{x:m,y:g+y},{width:v,height:1}),Eo.copy(p.data,l,{x:v-1,y:0},{x:m-1,y:g},{width:1,height:y}),Eo.copy(p.data,l,{x:0,y:0},{x:m+v,y:g},{width:1,height:y})}this.image=l,this.iconPositions=r,this.patternPositions=n};Ll.prototype.addImages=function(t,e,r){for(var n in t){var i=t[n],a={x:0,y:0,w:i.data.width+2,h:i.data.height+2};r.push(a),e[n]=new Sl(a,i),i.hasRenderCallback&&this.haveRenderCallbacks.push(n)}},Ll.prototype.patchUpdatedImages=function(t,e){for(var r in t.dispatchRenderCallbacks(this.haveRenderCallbacks),t.updatedImages)this.patchUpdatedImage(this.iconPositions[r],t.getImage(r),e),this.patchUpdatedImage(this.patternPositions[r],t.getImage(r),e)},Ll.prototype.patchUpdatedImage=function(t,e,r){if(t&&e&&t.version!==e.version){t.version=e.version;var n=t.tl,i=n[0],a=n[1];r.update(e.data,void 0,{x:i,y:a})}},Nn(\"ImagePosition\",Sl),Nn(\"ImageAtlas\",Ll);var Cl={horizontal:1,vertical:2,horizontalOnly:3};var Pl=function(){this.scale=1,this.fontStack=\"\",this.imageName=null};Pl.forText=function(t,e){var r=new Pl;return r.scale=t||1,r.fontStack=e,r},Pl.forImage=function(t){var e=new Pl;return e.imageName=t,e};var Il=function(){this.text=\"\",this.sectionIndex=[],this.sections=[],this.imageSectionID=null};function Ol(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m){var g,v=Il.fromFeature(t,i);f===Cl.vertical&&v.verticalizePunctuation();var y=hi.processBidirectionalText,x=hi.processStyledBidirectionalText;if(y&&1===v.sections.length){g=[];for(var b=0,_=y(v.toString(),jl(v,c,a,e,n,p,d));b<_.length;b+=1){var w=_[b],T=new Il;T.text=w,T.sections=v.sections;for(var k=0;k<w.length;k++)T.sectionIndex.push(0);g.push(T)}}else if(x){g=[];for(var A=0,M=x(v.text,v.sectionIndex,jl(v,c,a,e,n,p,d));A<M.length;A+=1){var S=M[A],E=new Il;E.text=S[0],E.sectionIndex=S[1],E.sections=v.sections,g.push(E)}}else g=function(t,e){for(var r=[],n=t.text,i=0,a=0,o=e;a<o.length;a+=1){var s=o[a];r.push(t.substring(i,s)),i=s}return i<n.length&&r.push(t.substring(i,n.length)),r}(v,jl(v,c,a,e,n,p,d));var L=[],C={positionedLines:L,text:v.toString(),top:u[1],bottom:u[1],left:u[0],right:u[0],writingMode:f,iconsInText:!1,verticalizable:!1};return function(t,e,r,n,i,a,o,s,l,c,u,f){for(var h=0,p=-17,d=0,m=0,g=\"right\"===s?1:\"left\"===s?0:.5,v=0,y=0,x=i;y<x.length;y+=1){var b=x[y];b.trim();var _=b.getMaxScale(),w=24*(_-1),T={positionedGlyphs:[],lineOffset:0};t.positionedLines[v]=T;var k=T.positionedGlyphs,A=0;if(b.length()){for(var M=0;M<b.length();M++){var S=b.getSection(M),E=b.getSectionIndex(M),L=b.getCharCode(M),C=0,P=null,I=null,O=null,z=24,D=!(l===Cl.horizontal||!u&&!Xn(L)||u&&(zl[L]||(Y=L,Yn.Arabic(Y)||Yn[\"Arabic Supplement\"](Y)||Yn[\"Arabic Extended-A\"](Y)||Yn[\"Arabic Presentation Forms-A\"](Y)||Yn[\"Arabic Presentation Forms-B\"](Y))));if(S.imageName){var R=n[S.imageName];if(!R)continue;O=S.imageName,t.iconsInText=t.iconsInText||!0,I=R.paddedRect;var F=R.displaySize;S.scale=24*S.scale/f,P={width:F[0],height:F[1],left:1,top:-3,advance:D?F[1]:F[0]};var B=24-F[1]*S.scale;C=w+B,z=P.advance;var N=D?F[0]*S.scale-24*_:F[1]*S.scale-24*_;N>0&&N>A&&(A=N)}else{var j=r[S.fontStack],U=j&&j[L];if(U&&U.rect)I=U.rect,P=U.metrics;else{var V=e[S.fontStack],H=V&&V[L];if(!H)continue;P=H.metrics}C=24*(_-S.scale)}D?(t.verticalizable=!0,k.push({glyph:L,imageName:O,x:h,y:p+C,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:I}),h+=z*S.scale+c):(k.push({glyph:L,imageName:O,x:h,y:p+C,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:I}),h+=P.advance*S.scale+c)}if(0!==k.length){var q=h-c;d=Math.max(q,d),Vl(k,0,k.length-1,g,A)}h=0;var G=a*_+A;T.lineOffset=Math.max(A,w),p+=G,m=Math.max(G,m),++v}else p+=a,++v}var Y;var W=p- -17,Z=Ul(o),X=Z.horizontalAlign,J=Z.verticalAlign;(function(t,e,r,n,i,a,o,s,l){var c=(e-r)*i,u=0;u=a!==o?-s*n- -17:(-n*l+.5)*o;for(var f=0,h=t;f<h.length;f+=1)for(var p=h[f],d=0,m=p.positionedGlyphs;d<m.length;d+=1){var g=m[d];g.x+=c,g.y+=u}})(t.positionedLines,g,X,J,d,m,a,W,i.length),t.top+=-J*W,t.bottom=t.top+W,t.left+=-X*d,t.right=t.left+d}(C,e,r,n,g,o,s,l,f,c,h,m),!function(t){for(var e=0,r=t;e<r.length;e+=1){if(0!==r[e].positionedGlyphs.length)return!1}return!0}(L)&&C}Il.fromFeature=function(t,e){for(var r=new Il,n=0;n<t.sections.length;n++){var i=t.sections[n];i.image?r.addImageSection(i):r.addTextSection(i,e)}return r},Il.prototype.length=function(){return this.text.length},Il.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},Il.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},Il.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},Il.prototype.verticalizePunctuation=function(){this.text=function(t){for(var e=\"\",r=0;r<t.length;r++){var n=t.charCodeAt(r+1)||null,i=t.charCodeAt(r-1)||null;(!n||!Jn(n)||rl[t[r+1]])&&(!i||!Jn(i)||rl[t[r-1]])&&rl[t[r]]?e+=rl[t[r]]:e+=t[r]}return e}(this.text)},Il.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&zl[this.text.charCodeAt(e)];e++)t++;for(var 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e=this.data,r=this.compare,n=this.length>>1,i=e[t];t<n;){var a=1+(t<<1),o=e[a],s=a+1;if(s<this.length&&r(e[s],o)<0&&(a=s,o=e[s]),r(o,i)>=0)break;e[t]=o,t=a}e[t]=i};var pc=Number.POSITIVE_INFINITY;function dc(t,e){return e[1]!==pc?function(t,e,r){var n=0,i=0;switch(e=Math.abs(e),r=Math.abs(r),t){case\"top-right\":case\"top-left\":case\"top\":i=r-7;break;case\"bottom-right\":case\"bottom-left\":case\"bottom\":i=7-r}switch(t){case\"top-right\":case\"bottom-right\":case\"right\":n=-e;break;case\"top-left\":case\"bottom-left\":case\"left\":n=e}return[n,i]}(t,e[0],e[1]):function(t,e){var r=0,n=0;e<0&&(e=0);var i=e/Math.sqrt(2);switch(t){case\"top-right\":case\"top-left\":n=i-7;break;case\"bottom-right\":case\"bottom-left\":n=7-i;break;case\"bottom\":n=7-e;break;case\"top\":n=e-7}switch(t){case\"top-right\":case\"bottom-right\":r=-i;break;case\"top-left\":case\"bottom-left\":r=i;break;case\"left\":r=e;break;case\"right\":r=-e}return[r,n]}(t,e[0])}function mc(t){switch(t){case\"right\":case\"top-right\":case\"bottom-right\":return\"right\";case\"left\":case\"top-left\":case\"bottom-left\":return\"left\"}return\"center\"}function gc(t,e,r,n,a,o,s,l,c,u,f,h,p,d,m){var g=function(t,e,r,n,a,o,s,l){for(var c=n.layout.get(\"text-rotate\").evaluate(o,{})*Math.PI/180,u=[],f=0,h=e.positionedLines;f<h.length;f+=1)for(var p=h[f],d=0,m=p.positionedGlyphs;d<m.length;d+=1){var g=m[d];if(g.rect){var v=g.rect||{},y=4,x=!0,b=1,_=0,w=(a||l)&&g.vertical,T=g.metrics.advance*g.scale/2;if(l&&e.verticalizable){var k=24*(g.scale-1),A=(24-g.metrics.width*g.scale)/2;_=p.lineOffset/2-(g.imageName?-A:k)}if(g.imageName){var M=s[g.imageName];x=M.sdf,y=1/(b=M.pixelRatio)}var S=a?[g.x+T,g.y]:[0,0],E=a?[0,0]:[g.x+T+r[0],g.y+r[1]-_],L=[0,0];w&&(L=E,E=[0,0]);var C=(g.metrics.left-y)*g.scale-T+E[0],P=(-g.metrics.top-y)*g.scale+E[1],I=C+v.w*g.scale/b,O=P+v.h*g.scale/b,z=new i(C,P),D=new i(I,P),R=new i(C,O),F=new i(I,O);if(w){var B=new i(-T,T- -17),N=-Math.PI/2,j=12-T,U=g.imageName?j:0,V=new i(22-j,-U),H=new(Function.prototype.bind.apply(i,[null].concat(L)));z._rotateAround(N,B)._add(V)._add(H),D._rotateAround(N,B)._add(V)._add(H),R._rotateAround(N,B)._add(V)._add(H),F._rotateAround(N,B)._add(V)._add(H)}if(c){var q=Math.sin(c),G=Math.cos(c),Y=[G,-q,q,G];z._matMult(Y),D._matMult(Y),R._matMult(Y),F._matMult(Y)}var W=new i(0,0),Z=new i(0,0);u.push({tl:z,tr:D,bl:R,br:F,tex:v,writingMode:e.writingMode,glyphOffset:S,sectionIndex:g.sectionIndex,isSDF:x,pixelOffsetTL:W,pixelOffsetBR:Z,minFontScaleX:0,minFontScaleY:0})}}return u}(0,r,l,a,o,s,n,t.allowVerticalPlacement),v=t.textSizeData,y=null;\"source\"===v.kind?(y=[128*a.layout.get(\"text-size\").evaluate(s,{})])[0]>32640&&_(t.layerIds[0]+': Value for \"text-size\" is >= 255. Reduce your \"text-size\".'):\"composite\"===v.kind&&((y=[128*d.compositeTextSizes[0].evaluate(s,{},m),128*d.compositeTextSizes[1].evaluate(s,{},m)])[0]>32640||y[1]>32640)&&_(t.layerIds[0]+': Value for \"text-size\" is >= 255. Reduce your \"text-size\".'),t.addSymbols(t.text,g,y,l,o,s,u,e,c.lineStartIndex,c.lineLength,p,m);for(var x=0,b=f;x<b.length;x+=1){h[b[x]]=t.text.placedSymbolArray.length-1}return 4*g.length}function vc(t){for(var e in t)return t[e];return null}function yc(t,e,r,n){var i=t.compareText;if(e in i){for(var a=i[e],o=a.length-1;o>=0;o--)if(n.dist(a[o])<r)return!0}else i[e]=[];return i[e].push(n),!1}var xc=Ls.VectorTileFeature.types,bc=[{name:\"a_fade_opacity\",components:1,type:\"Uint8\",offset:0}];function _c(t,e,r,n,i,a,o,s,l,c,u,f,h){var p=s?Math.min(32640,Math.round(s[0])):0,d=s?Math.min(32640,Math.round(s[1])):0;t.emplaceBack(e,r,Math.round(32*n),Math.round(32*i),a,o,(p<<1)+(l?1:0),d,16*c,16*u,256*f,256*h)}function wc(t,e,r){t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r)}function Tc(t){for(var e=0,r=t.sections;e<r.length;e+=1){if($n(r[e].text))return!0}return!1}var kc=function(t){this.layoutVertexArray=new Ni,this.indexArray=new Yi,this.programConfigurations=t,this.segments=new pa,this.dynamicLayoutVertexArray=new ji,this.opacityVertexArray=new Ui,this.placedSymbolArray=new aa};kc.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length&&0===this.indexArray.length&&0===this.dynamicLayoutVertexArray.length&&0===this.opacityVertexArray.length},kc.prototype.upload=function(t,e,r,n){this.isEmpty()||(r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Js.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,Ks.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,bc,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t))},kc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},Nn(\"SymbolBuffers\",kc);var Ac=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new pa,this.collisionVertexArray=new Gi};Ac.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,Qs.members,!0)},Ac.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},Nn(\"CollisionBuffers\",Ac);var Mc=function(t){this.collisionBoxArray=t.collisionBoxArray,this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.pixelRatio=t.pixelRatio,this.sourceLayerIndex=t.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=ho([]),this.placementViewportMatrix=ho([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=Gl(this.zoom,e[\"text-size\"]),this.iconSizeData=Gl(this.zoom,e[\"icon-size\"]);var r=this.layers[0].layout,n=r.get(\"symbol-sort-key\"),i=r.get(\"symbol-z-order\");this.sortFeaturesByKey=\"viewport-y\"!==i&&void 0!==n.constantOr(1);var a=\"viewport-y\"===i||\"auto\"===i&&!this.sortFeaturesByKey;this.sortFeaturesByY=a&&(r.get(\"text-allow-overlap\")||r.get(\"icon-allow-overlap\")||r.get(\"text-ignore-placement\")||r.get(\"icon-ignore-placement\")),\"point\"===r.get(\"symbol-placement\")&&(this.writingModes=r.get(\"text-writing-mode\").map((function(t){return Cl[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};Mc.prototype.createArrays=function(){this.text=new kc(new Ua(Js.members,this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new kc(new Ua(Js.members,this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new la,this.lineVertexArray=new ca,this.symbolInstances=new sa},Mc.prototype.calculateGlyphDependencies=function(t,e,r,n,i){for(var a=0;a<t.length;a++)if(e[t.charCodeAt(a)]=!0,(r||n)&&i){var o=rl[t.charAt(a)];o&&(e[o.charCodeAt(0)]=!0)}},Mc.prototype.populate=function(t,e,r){var n=this.layers[0],i=n.layout,a=i.get(\"text-font\"),o=i.get(\"text-field\"),s=i.get(\"icon-image\"),l=(\"constant\"!==o.value.kind||o.value.value instanceof ne&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&(\"constant\"!==a.value.kind||a.value.value.length>0),c=\"constant\"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,u=i.get(\"symbol-sort-key\");if(this.features=[],l||c){for(var f=e.iconDependencies,h=e.glyphDependencies,p=e.availableImages,d=new pi(this.zoom),m=0,g=t;m<g.length;m+=1){var v=g[m],y=v.feature,x=v.id,b=v.index,_=v.sourceLayerIndex,w=n._featureFilter.needGeometry,T={type:y.type,id:x,properties:y.properties,geometry:w?Ya(y):[]};if(n._featureFilter.filter(d,T,r)){w||(T.geometry=Ya(y));var k=void 0;if(l){var A=n.getValueAndResolveTokens(\"text-field\",T,r,p),M=ne.factory(A);Tc(M)&&(this.hasRTLText=!0),(!this.hasRTLText||\"unavailable\"===ui()||this.hasRTLText&&hi.isParsed())&&(k=el(M,n,T))}var S=void 0;if(c){var E=n.getValueAndResolveTokens(\"icon-image\",T,r,p);S=E instanceof ie?E:ie.fromString(E)}if(k||S){var L=this.sortFeaturesByKey?u.evaluate(T,{},r):void 0,C={id:x,text:k,icon:S,index:b,sourceLayerIndex:_,geometry:Ya(y),properties:y.properties,type:xc[y.type],sortKey:L};if(this.features.push(C),S&&(f[S.name]=!0),k){var P=a.evaluate(T,{},r).join(\",\"),I=\"map\"===i.get(\"text-rotation-alignment\")&&\"point\"!==i.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(Cl.vertical)>=0;for(var O=0,z=k.sections;O<z.length;O+=1){var D=z[O];if(D.image)f[D.image.name]=!0;else{var R=Wn(k.toString()),F=D.fontStack||P,B=h[F]=h[F]||{};this.calculateGlyphDependencies(D.text,B,I,this.allowVerticalPlacement,R)}}}}}}\"line\"===i.get(\"symbol-placement\")&&(this.features=function(t){var e={},r={},n=[],i=0;function a(e){n.push(t[e]),i++}function o(t,e,i){var a=r[t];return delete r[t],r[e]=a,n[a].geometry[0].pop(),n[a].geometry[0]=n[a].geometry[0].concat(i[0]),a}function s(t,r,i){var a=e[r];return delete e[r],e[t]=a,n[a].geometry[0].shift(),n[a].geometry[0]=i[0].concat(n[a].geometry[0]),a}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+\":\"+n.x+\":\"+n.y}for(var c=0;c<t.length;c++){var u=t[c],f=u.geometry,h=u.text?u.text.toString():null;if(h){var p=l(h,f),d=l(h,f,!0);if(p in r&&d in e&&r[p]!==e[d]){var m=s(p,d,f),g=o(p,d,n[m].geometry);delete e[p],delete r[d],r[l(h,n[g].geometry,!0)]=g,n[m].geometry=null}else p in r?o(p,d,f):d in e?s(p,d,f):(a(c),e[p]=i-1,r[d]=i-1)}else a(c)}return n.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}))}},Mc.prototype.update=function(t,e,r){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(t,e,this.layers,r),this.icon.programConfigurations.updatePaintArrays(t,e,this.layers,r))},Mc.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},Mc.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},Mc.prototype.upload=function(t){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(t),this.iconCollisionBox.upload(t)),this.text.upload(t,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(t,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},Mc.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},Mc.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},Mc.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),i=t.dist(e[t.segment]),a={},o=t.segment+1;o<e.length;o++)a[o]={x:e[o].x,y:e[o].y,tileUnitDistanceFromAnchor:n},o<e.length-1&&(n+=e[o+1].dist(e[o]));for(var s=t.segment||0;s>=0;s--)a[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:i},s>0&&(i+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var c=a[l];this.lineVertexArray.emplaceBack(c.x,c.y,c.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},Mc.prototype.addSymbols=function(t,e,r,n,i,a,o,s,l,c,u,f){for(var h=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,h,a.sortKey),m=this.glyphOffsetArray.length,g=d.vertexLength,v=this.allowVerticalPlacement&&o===Cl.vertical?Math.PI/2:0,y=a.text&&a.text.sections,x=0;x<e.length;x++){var b=e[x],_=b.tl,w=b.tr,T=b.bl,k=b.br,A=b.tex,M=b.pixelOffsetTL,S=b.pixelOffsetBR,E=b.minFontScaleX,L=b.minFontScaleY,C=b.glyphOffset,P=b.isSDF,I=b.sectionIndex,O=d.vertexLength,z=C[1];_c(p,s.x,s.y,_.x,z+_.y,A.x,A.y,r,P,M.x,M.y,E,L),_c(p,s.x,s.y,w.x,z+w.y,A.x+A.w,A.y,r,P,S.x,M.y,E,L),_c(p,s.x,s.y,T.x,z+T.y,A.x,A.y+A.h,r,P,M.x,S.y,E,L),_c(p,s.x,s.y,k.x,z+k.y,A.x+A.w,A.y+A.h,r,P,S.x,S.y,E,L),wc(t.dynamicLayoutVertexArray,s,v),h.emplaceBack(O,O+1,O+2),h.emplaceBack(O+1,O+2,O+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(C[0]),x!==e.length-1&&I===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,a,a.index,{},f,y&&y[I])}t.placedSymbolArray.emplaceBack(s.x,s.y,m,this.glyphOffsetArray.length-m,g,l,c,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,u)},Mc.prototype._addCollisionDebugVertex=function(t,e,r,n,i,a){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,i,Math.round(a.x),Math.round(a.y))},Mc.prototype.addCollisionDebugVertices=function(t,e,r,n,a,o,s){var l=a.segments.prepareSegment(4,a.layoutVertexArray,a.indexArray),c=l.vertexLength,u=a.layoutVertexArray,f=a.collisionVertexArray,h=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(u,f,o,h,p,new i(t,e)),this._addCollisionDebugVertex(u,f,o,h,p,new i(r,e)),this._addCollisionDebugVertex(u,f,o,h,p,new i(r,n)),this._addCollisionDebugVertex(u,f,o,h,p,new i(t,n)),l.vertexLength+=4;var d=a.indexArray;d.emplaceBack(c,c+1),d.emplaceBack(c+1,c+2),d.emplaceBack(c+2,c+3),d.emplaceBack(c+3,c),l.primitiveLength+=4},Mc.prototype.addDebugCollisionBoxes=function(t,e,r,n){for(var i=t;i<e;i++){var a=this.collisionBoxArray.get(i),o=a.x1,s=a.y1,l=a.x2,c=a.y2;this.addCollisionDebugVertices(o,s,l,c,n?this.textCollisionBox:this.iconCollisionBox,a.anchorPoint,r)}},Mc.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new Ac(Hi,$s.members,Qi),this.iconCollisionBox=new Ac(Hi,$s.members,Qi);for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e,!1),this.addDebugCollisionBoxes(e.verticalIconBoxStartIndex,e.verticalIconBoxEndIndex,e,!1)}},Mc.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,i,a,o,s,l){for(var c={},u=e;u<r;u++){var f=t.get(u);c.textBox={x1:f.x1,y1:f.y1,x2:f.x2,y2:f.y2,anchorPointX:f.anchorPointX,anchorPointY:f.anchorPointY},c.textFeatureIndex=f.featureIndex;break}for(var h=n;h<i;h++){var p=t.get(h);c.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},c.verticalTextFeatureIndex=p.featureIndex;break}for(var d=a;d<o;d++){var m=t.get(d);c.iconBox={x1:m.x1,y1:m.y1,x2:m.x2,y2:m.y2,anchorPointX:m.anchorPointX,anchorPointY:m.anchorPointY},c.iconFeatureIndex=m.featureIndex;break}for(var g=s;g<l;g++){var v=t.get(g);c.verticalIconBox={x1:v.x1,y1:v.y1,x2:v.x2,y2:v.y2,anchorPointX:v.anchorPointX,anchorPointY:v.anchorPointY},c.verticalIconFeatureIndex=v.featureIndex;break}return c},Mc.prototype.deserializeCollisionBoxes=function(t){this.collisionArrays=[];for(var e=0;e<this.symbolInstances.length;e++){var r=this.symbolInstances.get(e);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(t,r.textBoxStartIndex,r.textBoxEndIndex,r.verticalTextBoxStartIndex,r.verticalTextBoxEndIndex,r.iconBoxStartIndex,r.iconBoxEndIndex,r.verticalIconBoxStartIndex,r.verticalIconBoxEndIndex))}},Mc.prototype.hasTextData=function(){return this.text.segments.get().length>0},Mc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},Mc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},Mc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},Mc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},Mc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i<n;i+=4)t.indexArray.emplaceBack(i,i+1,i+2),t.indexArray.emplaceBack(i+1,i+2,i+3)},Mc.prototype.getSortedSymbolIndexes=function(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;for(var e=Math.sin(t),r=Math.cos(t),n=[],i=[],a=[],o=0;o<this.symbolInstances.length;++o){a.push(o);var s=this.symbolInstances.get(o);n.push(0|Math.round(e*s.anchorX+r*s.anchorY)),i.push(s.featureIndex)}return a.sort((function(t,e){return n[t]-n[e]||i[e]-i[t]})),a},Mc.prototype.addToSortKeyRanges=function(t,e){var r=this.sortKeyRanges[this.sortKeyRanges.length-1];r&&r.sortKey===e?r.symbolInstanceEnd=t+1:this.sortKeyRanges.push({sortKey:e,symbolInstanceStart:t,symbolInstanceEnd:t+1})},Mc.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r<n.length;r+=1){var i=n[r],a=this.symbolInstances.get(i);this.featureSortOrder.push(a.featureIndex),[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},Nn(\"SymbolBucket\",Mc,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),Mc.MAX_GLYPHS=65535,Mc.addDynamicAttributes=wc;var Sc=new Si({\"symbol-placement\":new wi(Lt.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new wi(Lt.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new wi(Lt.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new Ti(Lt.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new wi(Lt.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new wi(Lt.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new wi(Lt.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new wi(Lt.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new wi(Lt.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new Ti(Lt.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new wi(Lt.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new wi(Lt.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new Ti(Lt.layout_symbol[\"icon-image\"]),\"icon-rotate\":new Ti(Lt.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new wi(Lt.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new wi(Lt.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new Ti(Lt.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new Ti(Lt.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new wi(Lt.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new wi(Lt.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new wi(Lt.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new Ti(Lt.layout_symbol[\"text-field\"]),\"text-font\":new Ti(Lt.layout_symbol[\"text-font\"]),\"text-size\":new Ti(Lt.layout_symbol[\"text-size\"]),\"text-max-width\":new Ti(Lt.layout_symbol[\"text-max-width\"]),\"text-line-height\":new wi(Lt.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new Ti(Lt.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new Ti(Lt.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new Ti(Lt.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new wi(Lt.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new Ti(Lt.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new wi(Lt.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new wi(Lt.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new Ti(Lt.layout_symbol[\"text-rotate\"]),\"text-padding\":new wi(Lt.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new wi(Lt.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new Ti(Lt.layout_symbol[\"text-transform\"]),\"text-offset\":new Ti(Lt.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new wi(Lt.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new wi(Lt.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new wi(Lt.layout_symbol[\"text-optional\"])}),Ec={paint:new Si({\"icon-opacity\":new Ti(Lt.paint_symbol[\"icon-opacity\"]),\"icon-color\":new Ti(Lt.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new Ti(Lt.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new Ti(Lt.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new Ti(Lt.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new wi(Lt.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new wi(Lt.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new Ti(Lt.paint_symbol[\"text-opacity\"]),\"text-color\":new Ti(Lt.paint_symbol[\"text-color\"],{runtimeType:Ut,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new Ti(Lt.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new Ti(Lt.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new Ti(Lt.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new wi(Lt.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new wi(Lt.paint_symbol[\"text-translate-anchor\"])}),layout:Sc},Lc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Ft,this.defaultValue=t};Lc.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},Lc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},Lc.prototype.outputDefined=function(){return!1},Lc.prototype.serialize=function(){return null},Nn(\"FormatSectionOverride\",Lc,{omit:[\"defaultValue\"]});var Cc=function(t){function e(e){t.call(this,e,Ec)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),\"auto\"===this.layout.get(\"icon-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"icon-rotation-alignment\"]=\"map\":this.layout._values[\"icon-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"text-rotation-alignment\"]=\"map\":this.layout._values[\"text-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-pitch-alignment\")&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")),\"auto\"===this.layout.get(\"icon-pitch-alignment\")&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),\"point\"===this.layout.get(\"symbol-placement\")){var n=this.layout.get(\"text-writing-mode\");if(n){for(var i=[],a=0,o=n;a<o.length;a+=1){var s=o[a];i.indexOf(s)<0&&i.push(s)}this.layout._values[\"text-writing-mode\"]=i}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()},e.prototype.getValueAndResolveTokens=function(t,e,r,n){var i=this.layout.get(t).evaluate(e,{},r,n),a=this._unevaluatedLayout._values[t];return a.isDataDriven()||Yr(a.value)||!i?i:function(t,e){return e.replace(/{([^{}]+)}/g,(function(e,r){return r in t?String(t[r]):\"\"}))}(e.properties,i)},e.prototype.createBucket=function(t){return new Mc(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=Ec.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var i=this.paint.get(n),a=new Lc(i),o=new Gr(a,i.property.specification),s=null;s=\"constant\"===i.value.kind||\"source\"===i.value.kind?new Zr(\"source\",o):new Xr(\"composite\",o,i.value.zoomStops,i.value._interpolationType),this.paint._values[n]=new bi(i.property,s,i.parameters)}}},e.prototype._handleOverridablePaintPropertyUpdate=function(t,r,n){return!(!this.layout||r.isDataDriven()||n.isDataDriven())&&e.hasPaintOverride(this.layout,t)},e.hasPaintOverride=function(t,e){var r=t.get(\"text-field\"),n=Ec.paint.properties[e],i=!1,a=function(t){for(var e=0,r=t;e<r.length;e+=1){var a=r[e];if(n.overrides&&n.overrides.hasOverride(a))return void(i=!0)}};if(\"constant\"===r.value.kind&&r.value.value instanceof ne)a(r.value.value.sections);else if(\"source\"===r.value.kind){var o=function(t){if(!i)if(t instanceof ce&&se(t.value)===Gt){var e=t.value;a(e.sections)}else t instanceof pe?a(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return i},e}(Ei),Pc={paint:new Si({\"background-color\":new wi(Lt.paint_background[\"background-color\"]),\"background-pattern\":new Ai(Lt.paint_background[\"background-pattern\"]),\"background-opacity\":new wi(Lt.paint_background[\"background-opacity\"])})},Ic=function(t){function e(e){t.call(this,e,Pc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ei),Oc={paint:new Si({\"raster-opacity\":new wi(Lt.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new wi(Lt.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new wi(Lt.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new wi(Lt.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new wi(Lt.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new wi(Lt.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new wi(Lt.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new wi(Lt.paint_raster[\"raster-fade-duration\"])})},zc=function(t){function e(e){t.call(this,e,Oc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ei);var Dc=function(t){function e(e){t.call(this,e,{}),this.implementation=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.is3D=function(){return\"3d\"===this.implementation.renderingMode},e.prototype.hasOffscreenPass=function(){return void 0!==this.implementation.prerender},e.prototype.recalculate=function(){},e.prototype.updateTransitions=function(){},e.prototype.hasTransition=function(){},e.prototype.serialize=function(){},e.prototype.onAdd=function(t){this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},e.prototype.onRemove=function(t){this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},e}(Ei),Rc={circle:_o,heatmap:Po,hillshade:Oo,fill:xs,\"fill-extrusion\":Fs,line:Zs,symbol:Cc,background:Ic,raster:zc};var Fc=self.HTMLImageElement,Bc=self.HTMLCanvasElement,Nc=self.HTMLVideoElement,jc=self.ImageData,Uc=self.ImageBitmap,Vc=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Vc.prototype.update=function(t,e,r){var n=t.width,i=t.height,a=!(this.size&&this.size[0]===n&&this.size[1]===i||r),o=this.context,s=o.gl;if(this.useMipmap=Boolean(e&&e.useMipmap),s.bindTexture(s.TEXTURE_2D,this.texture),o.pixelStoreUnpackFlipY.set(!1),o.pixelStoreUnpack.set(1),o.pixelStoreUnpackPremultiplyAlpha.set(this.format===s.RGBA&&(!e||!1!==e.premultiply)),a)this.size=[n,i],t instanceof Fc||t instanceof Bc||t instanceof Nc||t instanceof jc||Uc&&t instanceof Uc?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,i,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},c=l.x,u=l.y;t instanceof Fc||t instanceof Bc||t instanceof Nc||t instanceof jc||Uc&&t instanceof Uc?s.texSubImage2D(s.TEXTURE_2D,0,c,u,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,c,u,n,i,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Vc.prototype.bind=function(t,e,r){var n=this.context.gl;n.bindTexture(n.TEXTURE_2D,this.texture),r!==n.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(r=n.LINEAR),t!==this.filter&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,t),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,r||t),this.filter=t),e!==this.wrap&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,e),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,e),this.wrap=e)},Vc.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Vc.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var Hc=function(t){var e=this;this._callback=t,this._triggered=!1,\"undefined\"!=typeof MessageChannel&&(this._channel=new MessageChannel,this._channel.port2.onmessage=function(){e._triggered=!1,e._callback()})};Hc.prototype.trigger=function(){var t=this;this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout((function(){t._triggered=!1,t._callback()}),0))},Hc.prototype.remove=function(){delete this._channel,this._callback=function(){}};var qc=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},m([\"receive\",\"process\"],this),this.invoker=new Hc(this.process),this.target.addEventListener(\"message\",this.receive,!1),this.globalScope=k()?t:self};function Gc(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return[t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}qc.prototype.send=function(t,e,r,n,i){var a=this;void 0===i&&(i=!1);var o=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[o]=r);var s=S(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:i,sourceMapId:this.mapId,data:Hn(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:\"<cancel>\",targetMapId:n,sourceMapId:a.mapId})}}},qc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(\"<cancel>\"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else k()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},qc.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},qc.prototype.processTask=function(t,e){var r=this;if(\"<response>\"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(qn(e.error)):n(null,qn(e.data)))}else{var i=!1,a=S(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:\"<response>\",sourceMapId:r.mapId,error:e?Hn(e):null,data:Hn(n,a)},a)}:function(t){i=!0},s=null,l=qn(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var c=e.type.split(\".\");s=this.parent.getWorkerSource(e.sourceMapId,c[0],l.source)[c[1]](l,o)}else o(new Error(\"Could not find function \"+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},qc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var Yc=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Yc.prototype.setNorthEast=function(t){return this._ne=t instanceof Wc?new Wc(t.lng,t.lat):Wc.convert(t),this},Yc.prototype.setSouthWest=function(t){return this._sw=t instanceof Wc?new Wc(t.lng,t.lat):Wc.convert(t),this},Yc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Wc)e=t,r=t;else{if(!(t instanceof Yc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Yc.convert(a))}var o=t;return this.extend(Wc.convert(o))}return this}if(e=t._sw,r=t._ne,!e||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new Wc(e.lng,e.lat),this._ne=new Wc(r.lng,r.lat)),this},Yc.prototype.getCenter=function(){return new Wc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Yc.prototype.getSouthWest=function(){return this._sw},Yc.prototype.getNorthEast=function(){return this._ne},Yc.prototype.getNorthWest=function(){return new Wc(this.getWest(),this.getNorth())},Yc.prototype.getSouthEast=function(){return new Wc(this.getEast(),this.getSouth())},Yc.prototype.getWest=function(){return this._sw.lng},Yc.prototype.getSouth=function(){return this._sw.lat},Yc.prototype.getEast=function(){return this._ne.lng},Yc.prototype.getNorth=function(){return this._ne.lat},Yc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Yc.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Yc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Yc.prototype.contains=function(t){var e=Wc.convert(t),r=e.lng,n=e.lat,i=this._sw.lat<=n&&n<=this._ne.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a},Yc.convert=function(t){return!t||t instanceof Yc?t:new Yc(t)};var Wc=function(t,e){if(isNaN(t)||isNaN(e))throw new Error(\"Invalid LngLat object: (\"+t+\", \"+e+\")\");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")};Wc.prototype.wrap=function(){return new Wc(c(this.lng,-180,180),this.lat)},Wc.prototype.toArray=function(){return[this.lng,this.lat]},Wc.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Wc.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return 6371008.8*Math.acos(Math.min(i,1))},Wc.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Yc(new Wc(this.lng-r,this.lat-e),new Wc(this.lng+r,this.lat+e))},Wc.convert=function(t){if(t instanceof Wc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Wc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new Wc(Number(\"lng\"in t?t.lng:t.lon),Number(t.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]\")};var Zc=2*Math.PI*6371008.8;function Xc(t){return Zc*Math.cos(t*Math.PI/180)}function Jc(t){return(180+t)/360}function Kc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Qc(t,e){return t/Xc(e)}function $c(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var tu=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};tu.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Wc.convert(t);return new tu(Jc(r.lng),Kc(r.lat),Qc(e,r.lat))},tu.prototype.toLngLat=function(){return new Wc(360*this.x-180,$c(this.y))},tu.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Xc($c(e));var t,e},tu.prototype.meterInMercatorCoordinateUnits=function(){return 1/Zc*(t=$c(this.y),1/Math.cos(t*Math.PI/180));var t};var eu=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=iu(0,t,t,e,r)};eu.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},eu.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Gc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Gc(256*(r+1),256*(n+1),i),a[0]+\",\"+a[1]+\",\"+o[0]+\",\"+o[1]),l=function(t,e,r){for(var n,i=\"\",a=t;a>0;a--)i+=(e&(n=1<<a-1)?1:0)+(r&n?2:0);return i}(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace(\"{prefix}\",(this.x%16).toString(16)+(this.y%16).toString(16)).replace(\"{z}\",String(this.z)).replace(\"{x}\",String(this.x)).replace(\"{y}\",String(\"tms\"===e?Math.pow(2,this.z)-this.y-1:this.y)).replace(\"{quadkey}\",l).replace(\"{bbox-epsg-3857}\",s)},eu.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new i(8192*(t.x*e-this.x),8192*(t.y*e-this.y))},eu.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y};var ru=function(t,e){this.wrap=t,this.canonical=e,this.key=iu(t,e.z,e.z,e.x,e.y)},nu=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new eu(r,+n,+i),this.key=iu(e,t,r,n,i)};function iu(t,e,r,n,i){(t*=2)<0&&(t=-1*t-1);var a=1<<r;return(a*a*t+a*i+n).toString(36)+r.toString(36)+e.toString(36)}nu.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},nu.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new nu(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new nu(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},nu.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?iu(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):iu(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},nu.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ<this.overscaledZ&&t.canonical.x===this.canonical.x>>e&&t.canonical.y===this.canonical.y>>e},nu.prototype.children=function(t){if(this.overscaledZ>=t)return[new nu(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new nu(e,this.wrap,e,r,n),new nu(e,this.wrap,e,r+1,n),new nu(e,this.wrap,e,r,n+1),new nu(e,this.wrap,e,r+1,n+1)]},nu.prototype.isLessThan=function(t){return this.wrap<t.wrap||!(this.wrap>t.wrap)&&(this.overscaledZ<t.overscaledZ||!(this.overscaledZ>t.overscaledZ)&&(this.canonical.x<t.canonical.x||!(this.canonical.x>t.canonical.x)&&this.canonical.y<t.canonical.y))},nu.prototype.wrapped=function(){return new nu(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},nu.prototype.unwrapTo=function(t){return new nu(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},nu.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},nu.prototype.toUnwrapped=function(){return new ru(this.wrap,this.canonical)},nu.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},nu.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new tu(t.x-this.wrap,t.y))},Nn(\"CanonicalTileID\",eu),Nn(\"OverscaledTileID\",nu,{omit:[\"posMatrix\"]});var au=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError(\"DEM tiles must be square\");if(r&&\"mapbox\"!==r&&\"terrarium\"!==r)return _('\"'+r+'\" is not a valid encoding type. Valid types include \"mapbox\" and \"terrarium\".');this.stride=e.height;var n=this.dim=e.height-2;this.data=new Uint32Array(e.data.buffer),this.encoding=r||\"mapbox\";for(var i=0;i<n;i++)this.data[this._idx(-1,i)]=this.data[this._idx(0,i)],this.data[this._idx(n,i)]=this.data[this._idx(n-1,i)],this.data[this._idx(i,-1)]=this.data[this._idx(i,0)],this.data[this._idx(i,n)]=this.data[this._idx(i,n-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(n,-1)]=this.data[this._idx(n-1,0)],this.data[this._idx(-1,n)]=this.data[this._idx(0,n-1)],this.data[this._idx(n,n)]=this.data[this._idx(n-1,n-1)]};au.prototype.get=function(t,e){var r=new Uint8Array(this.data.buffer),n=4*this._idx(t,e);return(\"terrarium\"===this.encoding?this._unpackTerrarium:this._unpackMapbox)(r[n],r[n+1],r[n+2])},au.prototype.getUnpackVector=function(){return\"terrarium\"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},au.prototype._idx=function(t,e){if(t<-1||t>=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(e+1)*this.stride+(t+1)},au.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},au.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},au.prototype.getPixels=function(){return new Eo({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},au.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,c=a;c<o;c++)for(var u=n;u<i;u++)this.data[this._idx(u,c)]=t.data[this._idx(u+s,c+l)]},Nn(\"DEMData\",au);var ou=function(t){this._stringToNumber={},this._numberToString=[];for(var e=0;e<t.length;e++){var r=t[e];this._stringToNumber[r]=e,this._numberToString[e]=r}};ou.prototype.encode=function(t){return this._stringToNumber[t]},ou.prototype.decode=function(t){return this._numberToString[t]};var su=function(t,e,r,n,i){this.type=\"Feature\",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,this.id=i},lu={geometry:{configurable:!0}};lu.geometry.get=function(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},lu.geometry.set=function(t){this._geometry=t},su.prototype.toJSON=function(){var t={geometry:this.geometry};for(var e in this)\"_geometry\"!==e&&\"_vectorTileFeature\"!==e&&(t[e]=this[e]);return t},Object.defineProperties(su.prototype,lu);var cu=function(){this.state={},this.stateChanges={},this.deletedStates={}};cu.prototype.updateState=function(t,e,r){var n=String(e);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][n]=this.stateChanges[t][n]||{},u(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var i in this.deletedStates[t]={},this.state[t])i!==n&&(this.deletedStates[t][i]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var a in this.deletedStates[t][n]={},this.state[t][n])r[a]||(this.deletedStates[t][n][a]=null);else for(var o in r){this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]}},cu.prototype.removeFeatureState=function(t,e,r){if(!(null===this.deletedStates[t])){var n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e){if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null}else this.deletedStates[t]=null}},cu.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},i=this.stateChanges[t]||{},a=u({},n[r],i[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var o=this.deletedStates[t][e];if(null===o)return{};for(var s in o)delete a[s]}return a},cu.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},cu.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var i={};for(var a in this.stateChanges[n])this.state[n][a]||(this.state[n][a]={}),u(this.state[n][a],this.stateChanges[n][a]),i[a]=this.state[n][a];r[n]=i}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var c in this.deletedStates[o]){if(null===this.deletedStates[o][c])this.state[o][c]={};else for(var f=0,h=Object.keys(this.deletedStates[o][c]);f<h.length;f+=1){var p=h[f];delete this.state[o][c][p]}s[c]=this.state[o][c]}r[o]=r[o]||{},u(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t){t[d].setFeatureState(r,e)}};var uu=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new zn(8192,16,0),this.grid3D=new zn(8192,16,0),this.featureIndexArray=new fa,this.promoteId=e};function fu(t,e,r,n,i){return v(t,(function(t,a){var o=e instanceof _i?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function hu(t){for(var e=1/0,r=1/0,n=-1/0,i=-1/0,a=0,o=t;a<o.length;a+=1){var s=o[a];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),i=Math.max(i,s.y)}return{minX:e,minY:r,maxX:n,maxY:i}}function pu(t,e){return e-t}uu.prototype.insert=function(t,e,r,n,i,a){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,i);for(var s=a?this.grid3D:this.grid,l=0;l<e.length;l++){for(var c=e[l],u=[1/0,1/0,-1/0,-1/0],f=0;f<c.length;f++){var h=c[f];u[0]=Math.min(u[0],h.x),u[1]=Math.min(u[1],h.y),u[2]=Math.max(u[2],h.x),u[3]=Math.max(u[3],h.y)}u[0]<8192&&u[1]<8192&&u[2]>=0&&u[3]>=0&&s.insert(o,u[0],u[1],u[2],u[3])}},uu.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new Ls.VectorTile(new al(this.rawTileData)).layers,this.sourceLayerCoder=new ou(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},uu.prototype.query=function(t,e,r,n){var a=this;this.loadVTLayers();for(var o=t.params||{},s=8192/t.tileSize/t.scale,l=sn(o.filter),c=t.queryGeometry,u=t.queryPadding*s,f=hu(c),h=this.grid.query(f.minX-u,f.minY-u,f.maxX+u,f.maxY+u),p=hu(t.cameraQueryGeometry),d=this.grid3D.query(p.minX-u,p.minY-u,p.maxX+u,p.maxY+u,(function(e,r,n,a){return function(t,e,r,n,a){for(var o=0,s=t;o<s.length;o+=1){var l=s[o];if(e<=l.x&&r<=l.y&&n>=l.x&&a>=l.y)return!0}var c=[new i(e,r),new i(e,a),new i(n,a),new i(n,r)];if(t.length>2)for(var u=0,f=c;u<f.length;u+=1){if(io(t,f[u]))return!0}for(var h=0;h<t.length-1;h++){if(ao(t[h],t[h+1],c))return!0}return!1}(t.cameraQueryGeometry,e-u,r-u,n+u,a+u)})),m=0,g=d;m<g.length;m+=1){var v=g[m];h.push(v)}h.sort(pu);for(var y,x={},b=function(i){var u=h[i];if(u!==y){y=u;var f=a.featureIndexArray.get(u),p=null;a.loadMatchingFeature(x,f.bucketIndex,f.sourceLayerIndex,f.featureIndex,l,o.layers,o.availableImages,e,r,n,(function(e,r,n){return p||(p=Ya(e)),r.queryIntersectsFeature(c,e,n,p,a.z,t.transform,s,t.pixelPosMatrix)}))}},_=0;_<h.length;_++)b(_);return x},uu.prototype.loadMatchingFeature=function(t,e,r,n,i,a,o,s,l,c,u){var f=this.bucketLayerIDs[e];if(!a||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),p=this.vtLayers[h].feature(n);if(i.filter(new pi(this.tileID.overscaledZ),p))for(var d=this.getId(p,h),m=0;m<f.length;m++){var g=f[m];if(!(a&&a.indexOf(g)<0)){var v=s[g];if(v){var y={};void 0!==d&&c&&(y=c.getState(v.sourceLayer||\"_geojsonTileLayer\",d));var x=l[g];x.paint=fu(x.paint,v.paint,p,y,o),x.layout=fu(x.layout,v.layout,p,y,o);var b=!u||u(p,v,y);if(b){var _=new su(p,this.z,this.x,this.y,d);_.layer=x;var w=t[g];void 0===w&&(w=t[g]=[]),w.push({featureIndex:n,feature:_,intersectionZ:b})}}}}}},uu.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a,o,s){var l={};this.loadVTLayers();for(var c=sn(i),u=0,f=t;u<f.length;u+=1){var h=f[u];this.loadMatchingFeature(l,r,n,h,c,a,o,s,e)}return l},uu.prototype.hasLayer=function(t){for(var e=0,r=this.bucketLayerIDs;e<r.length;e+=1)for(var n=0,i=r[e];n<i.length;n+=1){if(t===i[n])return!0}return!1},uu.prototype.getId=function(t,e){var r=t.id;if(this.promoteId){var n=\"string\"==typeof this.promoteId?this.promoteId:this.promoteId[e];\"boolean\"==typeof(r=t.properties[n])&&(r=Number(r))}return r},Nn(\"FeatureIndex\",uu,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});var du=function(t,e){this.tileID=t,this.uid=h(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state=\"loading\"};du.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<R.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},du.prototype.wasRequested=function(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state},du.prototype.loadVectorData=function(t,e,r){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",t){for(var n in t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){var r={};if(!e)return r;for(var n=function(){var t=a[i],n=t.layerIds.map((function(t){return e.getLayer(t)})).filter(Boolean);if(0!==n.length){t.layers=n,t.stateDependentLayerIds&&(t.stateDependentLayers=t.stateDependentLayerIds.map((function(t){return n.filter((function(e){return e.id===t}))[0]})));for(var o=0,s=n;o<s.length;o+=1){var l=s[o];r[l.id]=t}}},i=0,a=t;i<a.length;i+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var i=this.buckets[n];if(i instanceof Mc){if(this.hasSymbolBuckets=!0,!r)break;i.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(var a in this.buckets){var o=this.buckets[a];if(o instanceof Mc&&o.hasRTLText){this.hasRTLText=!0,hi.isLoading()||hi.isLoaded()||\"deferred\"!==ui()||fi();break}}for(var s in this.queryPadding=0,this.buckets){var l=this.buckets[s];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(s).queryRadius(l))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new na},du.prototype.unloadVectorData=function(){for(var t in this.buckets)this.buckets[t].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state=\"unloaded\"},du.prototype.getBucket=function(t){return this.buckets[t.id]},du.prototype.upload=function(t){for(var e in this.buckets){var r=this.buckets[e];r.uploadPending()&&r.upload(t)}var n=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new Vc(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Vc(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},du.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},du.prototype.queryRenderedFeatures=function(t,e,r,n,i,a,o,s,l,c){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:c,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},du.prototype.querySourceFeatures=function(t,e){var r=this.latestFeatureIndex;if(r&&r.rawTileData){var n=r.loadVTLayers(),i=e?e.sourceLayer:\"\",a=n._geojsonTileLayer||n[i];if(a)for(var o=sn(e&&e.filter),s=this.tileID.canonical,l=s.z,c=s.x,u=s.y,f={z:l,x:c,y:u},h=0;h<a.length;h++){var p=a.feature(h);if(o.filter(new pi(this.tileID.overscaledZ),p)){var d=r.getId(p,i),m=new su(p,l,c,u,d);m.tile=f,t.push(m)}}}},du.prototype.hasData=function(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state},du.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},du.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=A(t.cacheControl);r[\"max-age\"]&&(this.expirationTime=Date.now()+1e3*r[\"max-age\"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),i=!1;if(this.expirationTime>n)i=!1;else if(e)if(this.expirationTime<e)i=!0;else{var a=this.expirationTime-e;a?this.expirationTime=n+Math.max(a,3e4):i=!0}else i=!0;i?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}},du.prototype.getExpiryTimeout=function(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-(new Date).getTime(),Math.pow(2,31)-1)},du.prototype.setFeatureState=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData&&0!==Object.keys(t).length){var r=this.latestFeatureIndex.loadVTLayers();for(var n in this.buckets)if(e.style.hasLayer(n)){var i=this.buckets[n],a=i.layers[0].sourceLayer||\"_geojsonTileLayer\",o=r[a],s=t[a];if(o&&s&&0!==Object.keys(s).length){i.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});var l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(i)))}}}},du.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},du.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<R.now()},du.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},du.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=R.now()+t},du.prototype.setDependencies=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){r[i[n]]=!0}this.dependencies[t]=r},du.prototype.hasDependency=function(t,e){for(var r=0,n=t;r<n.length;r+=1){var i=n[r],a=this.dependencies[i];if(a)for(var o=0,s=e;o<s.length;o+=1){if(a[s[o]])return!0}}return!1};var 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r},t.makeRequest=yt,t.mapObject=v,t.mercatorXfromLng=Jc,t.mercatorYfromLat=Kc,t.mercatorZfromAltitude=Qc,t.mul=mo,t.multiply=po,t.mvt=Ls,t.normalize=function(t,e){var r=e[0],n=e[1],i=e[2],a=r*r+n*n+i*i;return a>0&&(a=1/Math.sqrt(a)),t[0]=e[0]*a,t[1]=e[1]*a,t[2]=e[2]*a,t},t.number=qe,t.offscreenCanvasSupported=pt,t.ortho=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t},t.parseGlyphPBF=function(t){return new al(t).readFields(Tl,[])},t.pbf=al,t.performSymbolLayout=function(t,e,r,n,i,a,o){t.createArrays();var s=512*t.overscaling;t.tilePixelRatio=8192/s,t.compareText={},t.iconsNeedLinear=!1;var l=t.layers[0].layout,c=t.layers[0]._unevaluatedLayout._values,u={};if(\"composite\"===t.textSizeData.kind){var f=t.textSizeData,h=f.minZoom,p=f.maxZoom;u.compositeTextSizes=[c[\"text-size\"].possiblyEvaluate(new 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r=0;r<e.length;r+=3)t.minX=Math.min(t.minX,e[r]),t.minY=Math.min(t.minY,e[r+1]),t.maxX=Math.max(t.maxX,e[r]),t.maxY=Math.max(t.maxY,e[r+1])}function tt(t,e,r,n){if(e.geometry){var i=e.geometry.coordinates,a=e.geometry.type,o=Math.pow(r.tolerance/((1<<r.maxZoom)*r.extent),2),s=[],l=e.id;if(r.promoteId?l=e.properties[r.promoteId]:r.generateId&&(l=n||0),\"Point\"===a)et(i,s);else if(\"MultiPoint\"===a)for(var c=0;c<i.length;c++)et(i[c],s);else if(\"LineString\"===a)rt(i,s,o,!1);else if(\"MultiLineString\"===a){if(r.lineMetrics){for(c=0;c<i.length;c++)s=[],rt(i[c],s,o,!1),t.push(Q(l,\"LineString\",s,e.properties));return}nt(i,s,o,!1)}else if(\"Polygon\"===a)nt(i,s,o,!0);else{if(\"MultiPolygon\"!==a){if(\"GeometryCollection\"===a){for(c=0;c<e.geometry.geometries.length;c++)tt(t,{id:l,geometry:e.geometry.geometries[c],properties:e.properties},r,n);return}throw new Error(\"Input data is not a valid GeoJSON object.\")}for(c=0;c<i.length;c++){var 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r=[],n=0;n<t.length;n++){var i,a=t[n],o=a.type;if(\"Point\"===o||\"MultiPoint\"===o||\"LineString\"===o)i=mt(a.geometry,e);else if(\"MultiLineString\"===o||\"Polygon\"===o){i=[];for(var s=0;s<a.geometry.length;s++)i.push(mt(a.geometry[s],e))}else if(\"MultiPolygon\"===o)for(i=[],s=0;s<a.geometry.length;s++){for(var l=[],c=0;c<a.geometry[s].length;c++)l.push(mt(a.geometry[s][c],e));i.push(l)}r.push(Q(a.id,o,i,a.tags))}return r}function mt(t,e){var r=[];r.size=t.size,void 0!==t.start&&(r.start=t.start,r.end=t.end);for(var n=0;n<t.length;n+=3)r.push(t[n]+e,t[n+1],t[n+2]);return r}function gt(t,e){if(t.transformed)return t;var r,n,i,a=1<<t.z,o=t.x,s=t.y;for(r=0;r<t.features.length;r++){var l=t.features[r],c=l.geometry,u=l.type;if(l.geometry=[],1===u)for(n=0;n<c.length;n+=2)l.geometry.push(vt(c[n],c[n+1],e,a,o,s));else for(n=0;n<c.length;n++){var f=[];for(i=0;i<c[n].length;i+=2)f.push(vt(c[n][i],c[n][i+1],e,a,o,s));l.geometry.push(f)}}return t.transformed=!0,t}function 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u={},e.tags)u[f]=e.tags[f];u.mapbox_clip_start=i.start/i.size,u.mapbox_clip_end=i.end/i.size}var h={geometry:o,type:\"Polygon\"===a||\"MultiPolygon\"===a?3:\"LineString\"===a||\"MultiLineString\"===a?2:1,tags:u};null!==e.id&&(h.id=e.id),t.features.push(h)}}function bt(t,e,r,n,i,a){var o=n*n;if(n>0&&e.size<(i?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;l<e.length;l+=3)(0===n||e[l+2]>o)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;i&&function(t,e){for(var r=0,n=0,i=t.length,a=i-2;n<i;a=n,n+=2)r+=(t[n]-t[a])*(t[n+1]+t[a+1]);if(r>0===e)for(n=0,i=t.length;n<i/2;n+=2){var o=t[n],s=t[n+1];t[n]=t[i-2-n],t[n+1]=t[i-1-n],t[i-2-n]=o,t[i-1-n]=s}}(s,a),t.push(s)}}function _t(t,e){var r=(e=this.options=function(t,e){for(var r in e)t[r]=e[r];return t}(Object.create(this.options),e)).debug;if(r&&console.time(\"preprocess data\"),e.maxZoom<0||e.maxZoom>24)throw new Error(\"maxZoom should be in the 0-24 range\");if(e.promoteId&&e.generateId)throw new Error(\"promoteId and generateId cannot be used together.\");var n=function(t,e){var r=[];if(\"FeatureCollection\"===t.type)for(var n=0;n<t.features.length;n++)tt(r,t.features[n],e,n);else\"Feature\"===t.type?tt(r,t,e):tt(r,{geometry:t},e);return r}(t,e);this.tiles={},this.tileCoords=[],r&&(console.timeEnd(\"preprocess data\"),console.log(\"index: maxZoom: %d, maxPoints: %d\",e.indexMaxZoom,e.indexMaxPoints),console.time(\"generate tiles\"),this.stats={},this.total=0),(n=function(t,e){var r=e.buffer/e.extent,n=t,i=ot(t,1,-1-r,r,0,-1,2,e),a=ot(t,1,1-r,2+r,0,-1,2,e);return(i||a)&&(n=ot(t,1,-r,1+r,0,-1,2,e)||[],i&&(n=dt(i,1).concat(n)),a&&(n=n.concat(dt(a,-1)))),n}(n,e)).length&&this.splitTile(n,0,0,0),r&&(n.length&&console.log(\"features: %d, points: %d\",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd(\"generate tiles\"),console.log(\"tiles generated:\",this.total,JSON.stringify(this.stats)))}function wt(t,e,r){return 32*((1<<t)*r+e)+t}function Tt(t,e){var r=t.tileID.canonical;if(!this._geoJSONIndex)return e(null,null);var n=this._geoJSONIndex.getTile(r.z,r.x,r.y);if(!n)return e(null,null);var i=new g(n.features),a=_(i);0===a.byteOffset&&a.byteLength===a.buffer.byteLength||(a=new Uint8Array(a)),e(null,{vectorTile:i,rawData:a.buffer})}U.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,i=e.maxZoom,a=e.nodeSize;r&&console.time(\"total time\");var o=\"prepare \"+t.length+\" points\";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(H(t[l],l));this.trees[i+1]=new N(s,X,J,a,Float32Array),r&&console.timeEnd(o);for(var c=i;c>=n;c--){var u=+Date.now();s=this._cluster(s,c),this.trees[c]=new N(s,X,J,a,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",c,s.length,+Date.now()-u)}return r&&console.timeEnd(\"total time\"),this},U.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],c=[],u=0,f=l.range(Y(r),W(a),Y(i),W(n));u<f.length;u+=1){var h=f[u],p=l.points[h];c.push(p.numPoints?q(p):this.points[p.index])}return c},U.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),n=\"No cluster with the specified id.\",i=this.trees[r];if(!i)throw new Error(n);var a=i.points[e];if(!a)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,c=i.within(a.x,a.y,o);l<c.length;l+=1){var u=c[l],f=i.points[u];f.parentId===t&&s.push(f.numPoints?q(f):this.points[f.index])}if(0===s.length)throw new Error(n);return s},U.prototype.getLeaves=function(t,e,r){e=e||10,r=r||0;var n=[];return this._appendLeaves(n,t,e,r,0),n},U.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),a=this.options,o=a.extent,s=a.radius/o,l=(r-s)/i,c=(r+1+s)/i,u={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,c),n.points,e,r,i,u),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,c),n.points,i,r,i,u),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,c),n.points,-1,r,i,u),u.features.length?u:null},U.prototype.getClusterExpansionZoom=function(t){for(var e=this._getOriginZoom(t)-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},U.prototype._appendLeaves=function(t,e,r,n,i){for(var a=0,o=this.getChildren(e);a<o.length;a+=1){var s=o[a],l=s.properties;if(l&&l.cluster?i+l.point_count<=n?i+=l.point_count:i=this._appendLeaves(t,l.cluster_id,r,n,i):i<n?i++:t.push(s),t.length===r)break}return i},U.prototype._addTileFeatures=function(t,e,r,n,i,a){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],c=l.numPoints,u={type:1,geometry:[[Math.round(this.options.extent*(l.x*i-r)),Math.round(this.options.extent*(l.y*i-n))]],tags:c?G(l):this.points[l.index].properties},f=void 0;c?f=l.id:this.options.generateId?f=l.index:this.points[l.index].id&&(f=this.points[l.index].id),void 0!==f&&(u.id=f),a.features.push(u)}},U.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(t,this.options.maxZoom+1))},U.prototype._cluster=function(t,e){for(var r=[],n=this.options,i=n.radius,a=n.extent,o=n.reduce,s=i/(a*Math.pow(2,e)),l=0;l<t.length;l++){var c=t[l];if(!(c.zoom<=e)){c.zoom=e;for(var u=this.trees[e+1],f=u.within(c.x,c.y,s),h=c.numPoints||1,p=c.x*h,d=c.y*h,m=o&&h>1?this._map(c,!0):null,g=(l<<5)+(e+1)+this.points.length,v=0,y=f;v<y.length;v+=1){var x=y[v],b=u.points[x];if(!(b.zoom<=e)){b.zoom=e;var _=b.numPoints||1;p+=b.x*_,d+=b.y*_,h+=_,b.parentId=g,o&&(m||(m=this._map(c,!0)),o(m,this._map(b)))}}1===h?r.push(c):(c.parentId=g,r.push(V(p/h,d/h,g,h,m)))}}return r},U.prototype._getOriginId=function(t){return t-this.points.length>>5},U.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},U.prototype._map=function(t,e){if(t.numPoints)return e?Z({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?Z({},n):n},_t.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},_t.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,c=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var u=1<<e,f=wt(e,r,n),h=this.tiles[f];if(!h&&(c>1&&console.time(\"creation\"),h=this.tiles[f]=yt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),c)){c>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd(\"creation\"));var p=\"z\"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<<i-e;if(r!==Math.floor(a/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||h.numPoints<=l.indexMaxPoints)continue;if(h.source=null,0!==t.length){c>1&&console.time(\"clipping\");var m,g,v,y,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;m=g=v=y=null,x=ot(t,u,r-_,r+T,0,h.minX,h.maxX,l),b=ot(t,u,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(m=ot(x,u,n-_,n+T,1,h.minY,h.maxY,l),g=ot(x,u,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(v=ot(b,u,n-_,n+T,1,h.minY,h.maxY,l),y=ot(b,u,n+w,n+k,1,h.minY,h.maxY,l),b=null),c>1&&console.timeEnd(\"clipping\"),s.push(m||[],e+1,2*r,2*n),s.push(g||[],e+1,2*r,2*n+1),s.push(v||[],e+1,2*r+1,2*n),s.push(y||[],e+1,2*r+1,2*n+1)}}},_t.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<<t,s=wt(t,e=(e%o+o)%o,r);if(this.tiles[s])return gt(this.tiles[s],i);a>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var l,c=t,u=e,f=r;!l&&c>0;)c--,u=Math.floor(u/2),f=Math.floor(f/2),l=this.tiles[wt(c,u,f)];return l&&l.source?(a>1&&console.log(\"found parent tile z%d-%d-%d\",c,u,f),a>1&&console.time(\"drilling down\"),this.splitTile(l.source,c,u,f,t,e,r),a>1&&console.timeEnd(\"drilling down\"),this.tiles[s]?gt(this.tiles[s],i):null):null};var kt=function(e){function r(t,r,n,i){e.call(this,t,r,n,Tt),i&&(this.loadGeoJSON=i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&\"Idle\"!==this._state?this._state=\"NeedsLoadData\":(this._state=\"Coalescing\",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(a,o){if(a||!o)return r(a);if(\"object\"!=typeof o)return r(new Error(\"Input data given to '\"+n.source+\"' is not a valid GeoJSON object.\"));f(o,!0);try{e._geoJSONIndex=n.cluster?new U(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),c=0,u=l;c<u.length;c+=1){var f=u[c],h=n[f],p=h[0],d=h[1],m=t.createExpression(d),g=t.createExpression(\"string\"==typeof p?[p,[\"accumulated\"],[\"get\",f]]:p);i[f]=m.value,a[f]=g.value}return r.map=function(t){s.properties=t;for(var e={},r=0,n=l;r<n.length;r+=1){var a=n[r];e[a]=i[a].evaluate(o,s)}return e},r.reduce=function(t,e){s.properties=e;for(var r=0,n=l;r<n.length;r+=1){var i=n[r];o.accumulated=t[i],t[i]=a[i].evaluate(o,s)}},r}(n)).load(o.features):function(t,e){return new _t(t,e)}(o,n.geojsonVtOptions)}catch(a){return r(a)}e.loaded={};var s={};if(i){var l=i.finish();l&&(s.resourceTiming={},s.resourceTiming[n.source]=JSON.parse(JSON.stringify(l)))}r(null,s)}))}},r.prototype.coalesce=function(){\"Coalescing\"===this._state?this._state=\"Idle\":\"NeedsLoadData\"===this._state&&(this._state=\"Coalescing\",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded,i=t.uid;return n&&n[i]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if(\"string\"!=typeof e.data)return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON 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t.Point(r.clientX-n.left-e.clientLeft,r.clientY-n.top-e.clientTop)},r.touchPos=function(e,r){for(var n=e.getBoundingClientRect(),i=[],a=0;a<r.length;a++)i.push(new t.Point(r[a].clientX-n.left-e.clientLeft,r[a].clientY-n.top-e.clientTop));return i},r.mouseButton=function(e){return void 0!==t.window.InstallTrigger&&2===e.button&&e.ctrlKey&&t.window.navigator.platform.toUpperCase().indexOf(\"MAC\")>=0?0:e.button},r.remove=function(t){t.parentNode&&t.parentNode.removeChild(t)};var h=function(e){function r(){e.call(this),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new t.RGBAImage({width:1,height:1}),this.dirty=!0}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.isLoaded=function(){return this.loaded},r.prototype.setLoaded=function(t){if(this.loaded!==t&&(this.loaded=t,t)){for(var e=0,r=this.requestors;e<r.length;e+=1){var n=r[e],i=n.ids,a=n.callback;this._notify(i,a)}this.requestors=[]}},r.prototype.getImage=function(t){return this.images[t]},r.prototype.addImage=function(t,e){this._validate(t,e)&&(this.images[t]=e)},r.prototype._validate=function(e,r){var n=!0;return this._validateStretch(r.stretchX,r.data&&r.data.width)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchX\" value'))),n=!1),this._validateStretch(r.stretchY,r.data&&r.data.height)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchY\" value'))),n=!1),this._validateContent(r.content,r)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"content\" value'))),n=!1),n},r.prototype._validateStretch=function(t,e){if(!t)return!0;for(var r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];if(a[0]<r||a[1]<a[0]||e<a[1])return!1;r=a[1]}return!0},r.prototype._validateContent=function(t,e){return!t||4===t.length&&(!(t[0]<0||e.data.width<t[0])&&(!(t[1]<0||e.data.height<t[1])&&(!(t[2]<0||e.data.width<t[2])&&(!(t[3]<0||e.data.height<t[3])&&(!(t[2]<t[0])&&!(t[3]<t[1]))))))},r.prototype.updateImage=function(t,e){var r=this.images[t];e.version=r.version+1,this.images[t]=e,this.updatedImages[t]=!0},r.prototype.removeImage=function(t){var e=this.images[t];delete this.images[t],delete this.patterns[t],e.userImage&&e.userImage.onRemove&&e.userImage.onRemove()},r.prototype.listImages=function(){return Object.keys(this.images)},r.prototype.getImages=function(t,e){var r=!0;if(!this.isLoaded())for(var n=0,i=t;n<i.length;n+=1){var a=i[n];this.images[a]||(r=!1)}this.isLoaded()||r?this._notify(t,e):this.requestors.push({ids:t,callback:e})},r.prototype._notify=function(e,r){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i];this.images[o]||this.fire(new t.Event(\"styleimagemissing\",{id:o}));var s=this.images[o];s?n[o]={data:s.data.clone(),pixelRatio:s.pixelRatio,sdf:s.sdf,version:s.version,stretchX:s.stretchX,stretchY:s.stretchY,content:s.content,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image \"'+o+'\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. You can provide missing images by listening for the \"styleimagemissing\" map event.')}r(null,n)},r.prototype.getPixelSize=function(){var t=this.atlasImage;return{width:t.width,height:t.height}},r.prototype.getPattern=function(e){var r=this.patterns[e],n=this.getImage(e);if(!n)return null;if(r&&r.position.version===n.version)return r.position;if(r)r.position.version=n.version;else{var i={w:n.data.width+2,h:n.data.height+2,x:0,y:0},a=new t.ImagePosition(i,n);this.patterns[e]={bin:i,position:a}}return this._updatePatternAtlas(),this.patterns[e].position},r.prototype.bind=function(e){var r=e.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new t.Texture(e,this.atlasImage,r.RGBA),this.atlasTexture.bind(r.LINEAR,r.CLAMP_TO_EDGE)},r.prototype._updatePatternAtlas=function(){var e=[];for(var r in this.patterns)e.push(this.patterns[r].bin);var n=t.potpack(e),i=n.w,a=n.h,o=this.atlasImage;for(var s in o.resize({width:i||1,height:a||1}),this.patterns){var l=this.patterns[s].bin,c=l.x+1,u=l.y+1,f=this.images[s].data,h=f.width,p=f.height;t.RGBAImage.copy(f,o,{x:0,y:0},{x:c,y:u},{width:h,height:p}),t.RGBAImage.copy(f,o,{x:0,y:p-1},{x:c,y:u-1},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:c,y:u+p},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:h-1,y:0},{x:c-1,y:u},{width:1,height:p}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:c+h,y:u},{width:1,height:p})}this.dirty=!0},r.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},r.prototype.dispatchRenderCallbacks=function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!this.callbackDispatchedThisFrame[n]){this.callbackDispatchedThisFrame[n]=!0;var i=this.images[n];f(i)&&this.updateImage(n,i)}}},r}(t.Evented);var p=g,d=g,m=1e20;function g(t,e,r,n,i,a){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=i||\"sans-serif\",this.fontWeight=a||\"normal\",this.radius=r||8;var o=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement(\"canvas\"),this.canvas.width=this.canvas.height=o,this.ctx=this.canvas.getContext(\"2d\"),this.ctx.font=this.fontWeight+\" \"+this.fontSize+\"px \"+this.fontFamily,this.ctx.textBaseline=\"middle\",this.ctx.fillStyle=\"black\",this.gridOuter=new Float64Array(o*o),this.gridInner=new Float64Array(o*o),this.f=new Float64Array(o),this.d=new Float64Array(o),this.z=new Float64Array(o+1),this.v=new Int16Array(o),this.middle=Math.round(o/2*(navigator.userAgent.indexOf(\"Gecko/\")>=0?1.2:1))}function v(t,e,r,n,i,a,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(y(n,i,a,o,r),l=0;l<r;l++)t[l*e+s]=i[l]}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(y(n,i,a,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(i[s])}}function y(t,e,r,n,i){r[0]=0,n[0]=-m,n[1]=+m;for(var a=1,o=0;a<i;a++){for(var s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);s<=n[o];)o--,s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);r[++o]=a,n[o]=s,n[o+1]=+m}for(a=0,o=0;a<i;a++){for(;n[o+1]<a;)o++;e[a]=(a-r[o])*(a-r[o])+t[r[o]]}}g.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),r=new Uint8ClampedArray(this.size*this.size),n=0;n<this.size*this.size;n++){var i=e.data[4*n+3]/255;this.gridOuter[n]=1===i?0:0===i?m:Math.pow(Math.max(0,.5-i),2),this.gridInner[n]=1===i?m:0===i?0:Math.pow(Math.max(0,i-.5),2)}for(v(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),v(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++){var a=this.gridOuter[n]-this.gridInner[n];r[n]=Math.max(0,Math.min(255,Math.round(255-255*(a/this.radius+this.cutoff))))}return r},p.default=d;var x=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};x.prototype.setURL=function(t){this.url=t},x.prototype.getGlyphs=function(e,r){var n=this,i=[];for(var a in e)for(var o=0,s=e[a];o<s.length;o+=1){var l=s[o];i.push({stack:a,id:l})}t.asyncAll(i,(function(t,e){var r=t.stack,i=t.id,a=n.entries[r];a||(a=n.entries[r]={glyphs:{},requests:{},ranges:{}});var o=a.glyphs[i];if(void 0===o){if(o=n._tinySDF(a,r,i))return a.glyphs[i]=o,void e(null,{stack:r,id:i,glyph:o});var s=Math.floor(i/256);if(256*s>65535)e(new Error(\"glyphs > 65535 not supported\"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i<o.length;i+=1){(0,o[i])(t,e)}delete a.requests[s]}))),l.push((function(t,n){t?e(t):n&&e(null,{stack:r,id:i,glyph:n[i]||null})}))}}else e(null,{stack:r,id:i,glyph:o})}),(function(t,e){if(t)r(t);else if(e){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.stack,l=o.id,c=o.glyph;(n[s]||(n[s]={}))[l]=c&&{id:c.id,bitmap:c.bitmap.clone(),metrics:c.metrics}}r(null,n)}}))},x.prototype._doesCharSupportLocalGlyph=function(e){return!!this.localIdeographFontFamily&&(t.isChar[\"CJK Unified Ideographs\"](e)||t.isChar[\"Hangul Syllables\"](e)||t.isChar.Hiragana(e)||t.isChar.Katakana(e))},x.prototype._tinySDF=function(e,r,n){var i=this.localIdeographFontFamily;if(i&&this._doesCharSupportLocalGlyph(n)){var a=e.tinySDF;if(!a){var o=\"400\";/bold/i.test(r)?o=\"900\":/medium/i.test(r)?o=\"500\":/light/i.test(r)&&(o=\"200\"),a=e.tinySDF=new x.TinySDF(24,3,8,.25,i,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},a.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,i,a){var o=256*r,s=o+255,l=i.transformRequest(i.normalizeGlyphsURL(n).replace(\"{fontstack}\",e).replace(\"{range}\",o+\"-\"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,(function(e,r){if(e)a(e);else if(r){for(var n={},i=0,o=t.parseGlyphPBF(r);i<o.length;i+=1){var s=o[i];n[s.id]=s}a(null,n)}}))},x.TinySDF=p;var b=function(){this.specification=t.styleSpec.light.position};b.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},b.prototype.interpolate=function(e,r,n){return{x:t.number(e.x,r.x,n),y:t.number(e.y,r.y,n),z:t.number(e.z,r.z,n)}};var _=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new b,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),w=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(_),this.setLight(r),this._transitioning=this._transitionable.untransitioned()}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getLight=function(){return this._transitionable.serialize()},r.prototype.setLight=function(e,r){if(void 0===r&&(r={}),!this._validate(t.validateLight,e,r))for(var n in e){var i=e[n];t.endsWith(n,\"-transition\")?this._transitionable.setTransition(n.slice(0,-\"-transition\".length),i):this._transitionable.setValue(n,i)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),T=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};T.prototype.getDash=function(t,e){var r=t.join(\",\")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]},T.prototype.getDashRanges=function(t,e,r){var n=[],i=t.length%2==1?-t[t.length-1]*r:0,a=t[0]*r,o=!0;n.push({left:i,right:a,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){o=!o;var c=t[l];i=s*r,a=(s+=c)*r,n.push({left:i,right:a,isDash:o,zeroLength:0===c})}return n},T.prototype.addRoundDash=function(t,e,r){for(var n=e/2,i=-r;i<=r;i++)for(var a=this.nextRow+r+i,o=this.width*a,s=0,l=t[s],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),f=Math.abs(c-l.right),h=Math.min(u,f),p=void 0,d=i/r*(n+1);if(l.isDash){var m=n-Math.abs(d);p=Math.sqrt(h*h+m*m)}else p=n-Math.sqrt(h*h+d*d);this.data[o+c]=Math.max(0,Math.min(255,p+128))}},T.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),f=Math.abs(c-l.right),h=Math.min(u,f),p=l.isDash?h:-h;this.data[o+c]=Math.max(0,Math.min(255,p+128))}},T.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce(\"LineAtlas out of space\"),null;for(var a=0,o=0;o<e.length;o++)a+=e[o];if(0!==a){var s=this.width/a,l=this.getDashRanges(e,this.width,s);r?this.addRoundDash(l,s,n):this.addRegularDash(l)}var c={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,c},T.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))};var k=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var i=this.workerPool.acquire(this.id),a=0;a<i.length;a++){var o=i[a],s=new e.Actor(o,n,this.id);s.name=\"Worker \"+a,this.actors.push(s)}};function A(e,r,n){var i=function(i,a){if(i)return n(i);if(a){var o=t.pick(t.extend(a,e),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"mapbox_logo\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);a.vector_layers&&(o.vectorLayers=a.vector_layers,o.vectorLayerIds=o.vectorLayers.map((function(t){return t.id}))),o.tiles=r.canonicalizeTileset(o,e.url),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),i):t.browser.frame((function(){return i(null,e)}))}k.prototype.broadcast=function(e,r,n){n=n||function(){},t.asyncAll(this.actors,(function(t,n){t.send(e,r,n)}),n)},k.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},k.prototype.remove=function(){this.actors.forEach((function(t){t.remove()})),this.actors=[],this.workerPool.release(this.id)},k.Actor=t.Actor;var M=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};M.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},M.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),i=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),a=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<a&&e.y>=i&&e.y<o};var S=function(e){function r(r,n,i,a){if(e.call(this),this.id=r,this.dispatcher=i,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=t.extend({type:\"vector\"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(a)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=A(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new M(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme)),i={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};function a(n,i){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(i&&i.resourceTiming&&(e.resourceTiming=i.resourceTiming),this.map._refreshExpiredTiles&&i&&e.setExpiryData(i),e.loadVectorData(i,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}i.request.collectResourceTiming=this._collectResourceTiming,e.actor&&\"expired\"!==e.state?\"loading\"===e.state?e.reloadCallback=r:e.request=e.actor.send(\"reloadTile\",i,a.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send(\"loadTile\",i,a.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send(\"abortTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),E=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.dispatcher=i,this.setEventedParent(a),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:\"raster\"},n),t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\"]))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=A(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new M(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,i=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(i,t.ResourceType.Tile),(function(i,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(i)e.state=\"errored\",r(i);else if(a){n.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(a.width),e.texture?e.texture.update(a,{useMipmap:!0}):(e.texture=new t.Texture(o,a,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state=\"loaded\",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}}))},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),L=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),this.type=\"raster-dem\",this.maxzoom=22,this._options=t.extend({type:\"raster-dem\"},n),this.encoding=n.encoding||\"mapbox\"}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.serialize=function(){return{type:\"raster-dem\",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);function i(t,n){t&&(e.state=\"errored\",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state=\"loaded\",r(null))}e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(n)e.state=\"errored\",r(n);else if(a){this.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=t.window.ImageBitmap&&a instanceof t.window.ImageBitmap&&t.offscreenCanvasSupported()?a:t.browser.getImageData(a,1),s={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:o,encoding:this.encoding};e.actor&&\"expired\"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send(\"loadDEMTile\",s,i.bind(this)))}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID)},r.prototype._getNeighboringTiles=function(e){var r=e.canonical,n=Math.pow(2,r.z),i=(r.x-1+n)%n,a=0===r.x?e.wrap-1:e.wrap,o=(r.x+1+n)%n,s=r.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state=\"unloaded\",t.actor&&t.actor.send(\"removeDEMTile\",{uid:t.uid,source:this.id})},r}(E),C=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=i.getActor(),this.setEventedParent(a),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution),this.promoteId=n.promoteId;var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1,generateId:n.generateId||!1},clusterProperties:n.clusterProperties},n.workerOptions)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:\"source\",sourceDataType:\"metadata\"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\"data\",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:\"source\",sourceDataType:\"content\"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event(\"data\",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;\"string\"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+\".loadData\",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+\".coalesce\",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,\"reloadTile\"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),P=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.x),a=Math.max(a,l.y)}var c=i-r,u=a-n,f=Math.max(c,u),h=Math.max(0,Math.floor(-Math.log(f)/Math.LN2)),p=Math.pow(2,h);return new t.CanonicalTileID(h,Math.floor((r+i)/2*p),Math.floor((n+a)/2*p))}(n),this.minzoom=this.maxzoom=this.tileID.z;var i=n.map((function(t){return r.tileID.getTilePoint(t)._round()}));return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(i[0].x,i[0].y,0,0),this._boundsArray.emplaceBack(i[1].x,i[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(i[3].x,i[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(i[2].x,i[2].y,t.EXTENT,t.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this},r.prototype.prepare=function(){if(0!==Object.keys(this.tiles).length&&this.image){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new t.Texture(e,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state=\"errored\",e(null))},r.prototype.serialize=function(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return!1},r}(t.Evented);var O=function(e){function r(t,r,n,i){e.call(this,t,r,n,i),this.roundZoom=!0,this.type=\"video\",this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1;var r=this.options;this.urls=[];for(var n=0,i=r.urls;n<i.length;n+=1){var a=i[n];this.urls.push(this.map._requestManager.transformRequest(a,t.ResourceType.Source).url)}t.getVideo(this.urls,(function(r,n){e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(e.video=n,e.video.loop=!0,e.video.addEventListener(\"playing\",(function(){e.map.triggerRepaint()})),e.map&&e.video.play(),e._finishLoading())}))},r.prototype.pause=function(){this.video&&this.video.pause()},r.prototype.play=function(){this.video&&this.video.play()},r.prototype.seek=function(e){if(this.video){var r=this.video.seekable;e<r.start(0)||e>r.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+this.id,null,\"Playback for this video can be set only between the \"+r.start(0)+\" and \"+r.end(0)+\"-second mark.\"))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),z=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return\"number\"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"coordinates\"'))),n.animate&&\"boolean\"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'optional \"animate\" property must be a boolean value'))),n.canvas?\"string\"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"canvas\"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var 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e=this.gl;e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0),this.current=t,this.dirty=!1}},e}(_t),Tt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferRenderbuffer(e.FRAMEBUFFER,e.DEPTH_ATTACHMENT,e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(_t),kt=function(t,e,r,n){this.context=t,this.width=e,this.height=r;var i=t.gl,a=this.framebuffer=i.createFramebuffer();this.colorAttachment=new wt(t,a),n&&(this.depthAttachment=new Tt(t,a))};kt.prototype.destroy=function(){var t=this.context.gl,e=this.colorAttachment.get();if(e&&t.deleteTexture(e),this.depthAttachment){var r=this.depthAttachment.get();r&&t.deleteRenderbuffer(r)}t.deleteFramebuffer(this.framebuffer)};var At=function(t,e,r){this.func=t,this.mask=e,this.range=r};At.ReadOnly=!1,At.ReadWrite=!0,At.disabled=new At(519,At.ReadOnly,[0,1]);var Mt=function(t,e,r,n,i,a){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=i,this.pass=a};Mt.disabled=new Mt({func:519,mask:0},0,0,7680,7680,7680);var St=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};St.disabled=new St(St.Replace=[1,0],t.Color.transparent,[!1,!1,!1,!1]),St.unblended=new St(St.Replace,t.Color.transparent,[!0,!0,!0,!0]),St.alphaBlended=new St([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Et=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Et.disabled=new Et(!1,1029,2305),Et.backCCW=new Et(!0,1029,2305);var Lt=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension(\"OES_vertex_array_object\"),this.clearColor=new q(this),this.clearDepth=new G(this),this.clearStencil=new Y(this),this.colorMask=new W(this),this.depthMask=new Z(this),this.stencilMask=new X(this),this.stencilFunc=new J(this),this.stencilOp=new K(this),this.stencilTest=new Q(this),this.depthRange=new $(this),this.depthTest=new tt(this),this.depthFunc=new et(this),this.blend=new rt(this),this.blendFunc=new nt(this),this.blendColor=new it(this),this.blendEquation=new at(this),this.cullFace=new ot(this),this.cullFaceSide=new st(this),this.frontFace=new lt(this),this.program=new ct(this),this.activeTexture=new ut(this),this.viewport=new ft(this),this.bindFramebuffer=new ht(this),this.bindRenderbuffer=new pt(this),this.bindTexture=new dt(this),this.bindVertexBuffer=new mt(this),this.bindElementBuffer=new gt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new vt(this),this.pixelStoreUnpack=new yt(this),this.pixelStoreUnpackPremultiplyAlpha=new xt(this),this.pixelStoreUnpackFlipY=new bt(this),this.extTextureFilterAnisotropic=t.getExtension(\"EXT_texture_filter_anisotropic\")||t.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||t.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension(\"OES_texture_half_float\"),this.extTextureHalfFloat&&(t.getExtension(\"OES_texture_half_float_linear\"),this.extRenderToTextureHalfFloat=t.getExtension(\"EXT_color_buffer_half_float\")),this.extTimerQuery=t.getExtension(\"EXT_disjoint_timer_query\")};Lt.prototype.setDefault=function(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()},Lt.prototype.setDirty=function(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.extVertexArrayObject&&(this.bindVertexArrayOES.dirty=!0),this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0},Lt.prototype.createIndexBuffer=function(t,e){return new j(this,t,e)},Lt.prototype.createVertexBuffer=function(t,e,r){return new V(this,t,e,r)},Lt.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,i=n.createRenderbuffer();return this.bindRenderbuffer.set(i),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),i},Lt.prototype.createFramebuffer=function(t,e,r){return new kt(this,t,e,r)},Lt.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,i=0;e&&(i|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(i|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(i)},Lt.prototype.setCullFace=function(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))},Lt.prototype.setDepthMode=function(t){t.func!==this.gl.ALWAYS||t.mask?(this.depthTest.set(!0),this.depthFunc.set(t.func),this.depthMask.set(t.mask),this.depthRange.set(t.range)):this.depthTest.set(!1)},Lt.prototype.setStencilMode=function(t){t.test.func!==this.gl.ALWAYS||t.mask?(this.stencilTest.set(!0),this.stencilMask.set(t.mask),this.stencilOp.set([t.fail,t.depthFail,t.pass]),this.stencilFunc.set({func:t.test.func,ref:t.ref,mask:t.test.mask})):this.stencilTest.set(!1)},Lt.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,St.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Lt.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Ct=function(e){function r(r,n,i){var a=this;e.call(this),this.id=r,this.dispatcher=i,this.on(\"data\",(function(t){\"source\"===t.dataType&&\"metadata\"===t.sourceDataType&&(a._sourceLoaded=!0),a._sourceLoaded&&!a._paused&&\"source\"===t.dataType&&\"content\"===t.sourceDataType&&(a.reload(),a.transform&&a.update(a.transform))})),this.on(\"error\",(function(){a._sourceErrored=!0})),this._source=function(e,r,n,i){var a=new D[r.type](e,r,n,i);if(a.id!==e)throw new Error(\"Expected Source id to be \"+e+\" instead of \"+a.id);return t.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],a),a}(r,n,i,this),this._tiles={},this._cache=new N(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;for(var t in this._tiles){var e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}return!0},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=!0},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,(function(){}))},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,(function(){}))},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}},r.prototype.getIds=function(){return t.values(this._tiles).map((function(t){return t.tileID})).sort(Pt).map((function(t){return t.key}))},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var i in this._tiles)this._isIdRenderable(i,e)&&n.push(this._tiles[i]);return e?n.sort((function(e,n){var i=e.tileID,a=n.tileID,o=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle),s=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle);return i.overscaledZ-a.overscaledZ||s.y-o.y||s.x-o.x})).map((function(t){return t.tileID.key})):n.map((function(t){return t.tileID})).sort(Pt).map((function(t){return t.key}))},r.prototype.hasRenderableParent=function(t){var e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)},r.prototype._isIdRenderable=function(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())},r.prototype.reload=function(){if(this._paused)this._shouldReloadOnResume=!0;else for(var t in this._cache.reset(),this._tiles)\"errored\"!==this._tiles[t].state&&this._reloadTile(t,\"reloading\")},r.prototype._reloadTile=function(t,e){var r=this._tiles[t];r&&(\"loading\"!==r.state&&(r.state=e),this._loadTile(r,this._tileLoaded.bind(this,r,t,e)))},r.prototype._tileLoaded=function(e,r,n,i){if(i)return e.state=\"errored\",void(404!==i.status?this._source.fire(new t.ErrorEvent(i,{tile:e})):this.update(this.transform));e.timeAdded=t.browser.now(),\"expired\"===n&&(e.refreshedUponExpiration=!0),this._setTileReloadTimer(r,e),\"raster-dem\"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._state.initializeTileState(e,this.map?this.map.painter:null),this._source.fire(new t.Event(\"data\",{dataType:\"source\",tile:e,coord:e.tileID}))},r.prototype._backfillDEM=function(t){for(var e=this.getRenderableIds(),r=0;r<e.length;r++){var n=e[r];if(t.neighboringTiles&&t.neighboringTiles[n]){var i=this.getTileByID(n);a(t,i),a(i,t)}}function a(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,i=Math.pow(2,t.tileID.canonical.z),a=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(It(this._source.type)){for(var c={},u={},f=0,h=Object.keys(l);f<h.length;f+=1){var p=h[f],d=l[p],m=this._tiles[p];if(m&&!(m.fadeEndTime&&m.fadeEndTime<=t.browser.now())){var g=this.findLoadedParent(d,o);g&&(this._addTile(g.tileID),c[g.tileID.key]=g.tileID),u[p]=d}}for(var v in this._retainLoadedChildren(u,a,s,l),c)l[v]||(this._coveredTiles[v]=!0,l[v]=c[v])}for(var y in l)this._tiles[y].clearFadeHold();for(var x=0,b=t.keysDifference(this._tiles,l);x<b.length;x+=1){var _=b[x],w=this._tiles[_];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(_)}this._updateLoadedParentTileCache()}},r.prototype.releaseSymbolFadeTiles=function(){for(var t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)},r.prototype._updateRetainedTiles=function(t,e){for(var n={},i={},a=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,c=t;l<c.length;l+=1){var u=c[l],f=this._addTile(u);n[u.key]=u,f.hasData()||e<this._source.maxzoom&&(s[u.key]=u)}this._retainLoadedChildren(s,e,o,n);for(var h=0,p=t;h<p.length;h+=1){var d=p[h],m=this._tiles[d.key];if(!m.hasData()){if(e+1>this._source.maxzoom){var g=d.children(this._source.maxzoom)[0],v=this.getTile(g);if(v&&v.hasData()){n[g.key]=g;continue}}else{var y=d.children(this._source.maxzoom);if(n[y[0].key]&&n[y[1].key]&&n[y[2].key]&&n[y[3].key])continue}for(var x=m.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(m=this.getTile(_))&&x&&(m=this._addTile(_)),m&&(n[_.key]=_,x=m.wasRequested(),m.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a<o.length;a+=1){var s=o[a];this._loadedParentTiles[s]=r}}},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event(\"dataloading\",{tile:r,coord:r.tileID,dataType:\"source\"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout((function(){r._reloadTile(t,\"expired\"),delete r._timers[t]}),n))},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&\"reloading\"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),c=s.map((function(t){return o.pointCoordinate(t)})),u=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,m=0,g=c;m<g.length;m+=1){var v=g[m];f=Math.min(f,v.x),h=Math.min(h,v.y),p=Math.max(p,v.x),d=Math.max(d,v.y)}for(var y=function(e){var n=i._tiles[u[e]];if(!n.holdingForFade()){var s=n.tileID,m=Math.pow(2,o.zoom-n.tileID.overscaledZ),g=r*n.queryPadding*t.EXTENT/n.tileSize/m,v=[s.getTilePoint(new t.MercatorCoordinate(f,h)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(v[0].x-g<t.EXTENT&&v[0].y-g<t.EXTENT&&v[1].x+g>=0&&v[1].y+g>=0){var y=l.map((function(t){return s.getTilePoint(t)})),x=c.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:y,cameraQueryGeometry:x,scale:m})}}},x=0;x<u.length;x++)y(x);return a},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map((function(t){return e._tiles[t].tileID})),n=0,i=r;n<i.length;n+=1){var a=i[n];a.posMatrix=this.transform.calculatePosMatrix(a.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(It(this._source.type))for(var e in this._tiles){var r=this._tiles[e];if(void 0!==r.fadeEndTime&&r.fadeEndTime>=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||\"_geojsonTileLayer\",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles){this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,\"reloading\")}this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function Pt(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function It(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function Ot(){return new t.window.Worker(Xi.workerUrl)}Ct.maxOverzooming=10,Ct.maxUnderzooming=3;var zt=\"mapboxgl_preloaded_worker_pool\",Dt=function(){this.active={}};Dt.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Dt.workerCount;)this.workers.push(new Ot);return this.active[t]=!0,this.workers.slice()},Dt.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((function(t){t.terminate()})),this.workers=null)},Dt.prototype.isPreloaded=function(){return!!this.active[zt]},Dt.prototype.numActive=function(){return Object.keys(this.active).length};var Rt,Ft=Math.floor(t.browser.hardwareConcurrency/2);function Bt(){return Rt||(Rt=new Dt),Rt}function Nt(e,r){var n={};for(var i in e)\"ref\"!==i&&(n[i]=e[i]);return t.refProperties.forEach((function(t){t in r&&(n[t]=r[t])})),n}function jt(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)\"ref\"in t[n]&&(t[n]=Nt(t[n],e[t[n].ref]));return t}Dt.workerCount=Math.max(Math.min(Ft,6),1);var Ut={setStyle:\"setStyle\",addLayer:\"addLayer\",removeLayer:\"removeLayer\",setPaintProperty:\"setPaintProperty\",setLayoutProperty:\"setLayoutProperty\",setFilter:\"setFilter\",addSource:\"addSource\",removeSource:\"removeSource\",setGeoJSONSourceData:\"setGeoJSONSourceData\",setLayerZoomRange:\"setLayerZoomRange\",setLayerProperty:\"setLayerProperty\",setCenter:\"setCenter\",setZoom:\"setZoom\",setBearing:\"setBearing\",setPitch:\"setPitch\",setSprite:\"setSprite\",setGlyphs:\"setGlyphs\",setTransition:\"setTransition\",setLight:\"setLight\"};function Vt(t,e,r){r.push({command:Ut.addSource,args:[t,e[t]]})}function Ht(t,e,r){e.push({command:Ut.removeSource,args:[t]}),r[t]=!0}function qt(t,e,r,n){Ht(t,r,n),Vt(t,e,r)}function Gt(e,r,n){var i;for(i in e[n])if(e[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;for(i in r[n])if(r[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;return!0}function Yt(e,r,n,i,a,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}))}function Wt(t){return t.id}function Zt(t,e){return t[e.id]=e,t}function Xt(e,r){if(!e)return[{command:Ut.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:Ut.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:Ut.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:Ut.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:Ut.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:Ut.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:Ut.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:Ut.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:Ut.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:Ut.setLight,args:[r.light]});var i={},a=[];!function(e,r,n,i){var a;for(a in r=r||{},e=e||{})e.hasOwnProperty(a)&&(r.hasOwnProperty(a)||Ht(a,n,i));for(a in r)r.hasOwnProperty(a)&&(e.hasOwnProperty(a)?t.deepEqual(e[a],r[a])||(\"geojson\"===e[a].type&&\"geojson\"===r[a].type&&Gt(e,r,a)?n.push({command:Ut.setGeoJSONSourceData,args:[a,r[a].data]}):qt(a,r,n,i)):Vt(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach((function(t){i[t.source]?n.push({command:Ut.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(a),function(e,r,n){r=r||[];var i,a,o,s,l,c,u,f=(e=e||[]).map(Wt),h=r.map(Wt),p=e.reduce(Zt,{}),d=r.reduce(Zt,{}),m=f.slice(),g=Object.create(null);for(i=0,a=0;i<f.length;i++)o=f[i],d.hasOwnProperty(o)?a++:(n.push({command:Ut.removeLayer,args:[o]}),m.splice(m.indexOf(o,a),1));for(i=0,a=0;i<h.length;i++)o=h[h.length-1-i],m[m.length-1-i]!==o&&(p.hasOwnProperty(o)?(n.push({command:Ut.removeLayer,args:[o]}),m.splice(m.lastIndexOf(o,m.length-a),1)):a++,c=m[m.length-i],n.push({command:Ut.addLayer,args:[d[o],c]}),m.splice(m.length-i,0,o),g[o]=!0);for(i=0;i<h.length;i++)if(s=p[o=h[i]],l=d[o],!g[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s[\"source-layer\"],l[\"source-layer\"])&&t.deepEqual(s.type,l.type)){for(u in Yt(s.layout,l.layout,n,o,null,Ut.setLayoutProperty),Yt(s.paint,l.paint,n,o,null,Ut.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:Ut.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:Ut.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}));for(u in l)l.hasOwnProperty(u)&&!s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}))}else n.push({command:Ut.removeLayer,args:[o]}),c=m[m.lastIndexOf(o)+1],n.push({command:Ut.addLayer,args:[l,c]})}(o,r.layers,n)}catch(t){console.warn(\"Unable to compute style diff:\",t),n=[{command:Ut.setStyle,args:[r]}]}return n}var Jt=function(t,e){this.reset(t,e)};Jt.prototype.reset=function(t,e){this.points=t||[],this._distances=[0];for(var r=1;r<this.points.length;r++)this._distances[r]=this._distances[r-1]+this.points[r].dist(this.points[r-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(e||0,.5*this.length),this.paddedLength=this.length-2*this.padding},Jt.prototype.lerp=function(e){if(1===this.points.length)return this.points[0];e=t.clamp(e,0,1);for(var r=1,n=this._distances[r],i=e*this.paddedLength+this.padding;n<i&&r<this._distances.length;)n=this._distances[++r];var a=r-1,o=this._distances[a],s=n-o,l=s>0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Kt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a<this.xCellCount*this.yCellCount;a++)n.push([]),i.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function Qt(e,r,n,i,a){var o=t.create();return r?(t.scale(o,o,[1/a,1/a,1]),n||t.rotateZ(o,o,i.angle)):t.multiply(o,i.labelPlaneMatrix,e),o}function $t(e,r,n,i,a){if(r){var o=t.clone(e);return t.scale(o,o,[a,a,1]),n||t.rotateZ(o,o,-i.angle),o}return i.glCoordMatrix}function te(e,r){var n=[e.x,e.y,0,1];fe(n,n,r);var i=n[3];return{point:new t.Point(n[0]/i,n[1]/i),signedDistanceFromCamera:i}}function ee(t,e){return.5+t/e*.5}function re(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ne(e,r,n,i,a,o,s,l){var c=i?e.textSizeData:e.iconSizeData,u=t.evaluateSizeForZoom(c,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,m=n.transform.width/n.transform.height,g=!1,v=0;v<d.length;v++){var y=d.get(v);if(y.hidden||y.writingMode===t.WritingMode.vertical&&!g)ue(y.numGlyphs,h);else{g=!1;var x=[y.anchorX,y.anchorY,0,1];if(t.transformMat4(x,x,r),re(x,f)){var b=x[3],_=ee(n.transform.cameraToCenterDistance,b),w=t.evaluateSizeForFeature(c,u,y),T=s?w/_:w*_,k=new t.Point(y.anchorX,y.anchorY),A=te(k,a).point,M={},S=oe(y,T,!1,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,m);g=S.useVertical,(S.notEnoughRoom||g||S.needsFlipping&&oe(y,T,!0,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,m).notEnoughRoom)&&ue(y.numGlyphs,h)}else ue(y.numGlyphs,h)}}i?e.text.dynamicLayoutVertexBuffer.updateData(h):e.icon.dynamicLayoutVertexBuffer.updateData(h)}function ie(t,e,r,n,i,a,o,s,l,c,u){var f=s.glyphStartIndex+s.numGlyphs,h=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),m=e.getoffsetX(f-1),g=le(t*d,r,n,i,a,o,s.segment,h,p,l,c,u);if(!g)return null;var v=le(t*m,r,n,i,a,o,s.segment,h,p,l,c,u);return v?{first:g,last:v}:null}function ae(e,r,n,i){if(e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*i)return{useVertical:!0};return(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function oe(e,r,n,i,a,o,s,l,c,u,f,h,p,d){var m,g=r/24,v=e.lineOffsetX*g,y=e.lineOffsetY*g;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=ie(g,l,v,y,n,f,h,e,c,o,p);if(!w)return{notEnoughRoom:!0};var T=te(w.first.point,s).point,k=te(w.last.point,s).point;if(i&&!n){var A=ae(e.writingMode,T,k,d);if(A)return A}m=[w.first];for(var M=e.glyphStartIndex+1;M<x-1;M++)m.push(le(g*l.getoffsetX(M),v,y,n,f,h,e.segment,b,_,c,o,p));m.push(w.last)}else{if(i&&!n){var S=te(h,a).point,E=e.lineStartIndex+e.segment+1,L=new t.Point(c.getx(E),c.gety(E)),C=te(L,a),P=C.signedDistanceFromCamera>0?C.point:se(h,L,S,1,a),I=ae(e.writingMode,S,P,d);if(I)return I}var O=le(g*l.getoffsetX(e.glyphStartIndex),v,y,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,c,o,p);if(!O)return{notEnoughRoom:!0};m=[O]}for(var z=0,D=m;z<D.length;z+=1){var R=D[z];t.addDynamicAttributes(u,R.point,R.angle)}return{}}function se(t,e,r,n,i){var a=te(t.add(t.sub(e)._unit()),i).point,o=r.sub(a);return r.add(o._mult(n/o.mag()))}function le(e,r,n,i,a,o,s,l,c,u,f,h){var p=i?e-r:e+r,d=p>0?1:-1,m=0;i&&(d*=-1,m=Math.PI),d<0&&(m+=Math.PI);for(var g=d>0?l+s:l+s+1,v=a,y=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((g+=d)<l||g>=c)return null;if(y=v,w.push(v),void 0===(v=h[g])){var T=new t.Point(u.getx(g),u.gety(g)),k=te(T,f);if(k.signedDistanceFromCamera>0)v=h[g]=k.point;else{var A=g-d;v=se(0===x?o:new t.Point(u.getx(A),u.gety(A)),T,y,_-x+1,f)}}x+=b,b=y.dist(v)}var M=(_-x)/b,S=v.sub(y),E=S.mult(M)._add(y);E._add(S._unit()._perp()._mult(n*d));var L=m+Math.atan2(v.y-y.y,v.x-y.x);return w.push(E),{point:E,angle:L,path:w}}Kt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Kt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Kt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Kt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Kt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Kt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var c=this.circles[3*l],u=this.circles[3*l+1],f=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:c-f,y1:u-f,x2:c+f,y2:u+f})}return a?o.filter(a):o}var h={hitTest:i,seenUids:{box:{},circle:{}}};return this._forEachCell(t,e,r,n,this._queryCell,o,h,a),i?o.length>0:o},Kt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var c=[],u={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,c,u,i),n?c.length>0:c},Kt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Kt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Kt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Kt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,c=this.boxCells[i];if(null!==c)for(var u=this.bboxes,f=0,h=c;f<h.length;f+=1){var p=h[f];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=u[d+2]&&e<=u[d+3]&&r>=u[d+0]&&n>=u[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:u[d],y1:u[d+1],x2:u[d+2],y2:u[d+3]})}}}var m=this.circleCells[i];if(null!==m)for(var g=this.circles,v=0,y=m;v<y.length;v+=1){var x=y[v];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(g[b],g[b+1],g[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return a.push(!0),!0;var _=g[b],w=g[b+1],T=g[b+2];a.push({key:this.circleKeys[x],x1:_-T,y1:w-T,x2:_+T,y2:w+T})}}}},Kt.prototype._queryCellCircle=function(t,e,r,n,i,a,o,s){var l=o.circle,c=o.seenUids,u=this.boxCells[i];if(null!==u)for(var f=this.bboxes,h=0,p=u;h<p.length;h+=1){var d=p[h];if(!c.box[d]){c.box[d]=!0;var m=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,f[m+0],f[m+1],f[m+2],f[m+3])&&(!s||s(this.boxKeys[d])))return a.push(!0),!0}}var g=this.circleCells[i];if(null!==g)for(var v=this.circles,y=0,x=g;y<x.length;y+=1){var b=x[y];if(!c.circle[b]){c.circle[b]=!0;var _=3*b;if(this._circlesCollide(v[_],v[_+1],v[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return a.push(!0),!0}}},Kt.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToXCellCoord(t),c=this._convertToYCellCoord(e),u=this._convertToXCellCoord(r),f=this._convertToYCellCoord(n),h=l;h<=u;h++)for(var p=c;p<=f;p++){var d=this.xCellCount*p+h;if(i.call(this,t,e,r,n,d,a,o,s))return}},Kt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Kt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Kt.prototype._circlesCollide=function(t,e,r,n,i,a){var o=n-t,s=i-e,l=r+a;return l*l>o*o+s*s},Kt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var c=(o-i)/2,u=Math.abs(e-(i+c));if(u>c+r)return!1;if(l<=s||u<=c)return!0;var f=l-s,h=u-c;return f*f+h*h<=r*r};var ce=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function ue(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(ce,3*n)}}function fe(t,e,r){var n=e[0],i=e[1];return t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t[3]=r[3]*n+r[7]*i+r[15],t}var he=function(t,e,r){void 0===e&&(e=new Kt(t.width+200,t.height+200,25)),void 0===r&&(r=new Kt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+100,this.screenBottomBoundary=t.height+100,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function pe(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}he.prototype.placeCollisionBox=function(t,e,r,n,i){var a=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*a.perspectiveRatio,s=t.x1*o+a.point.x,l=t.y1*o+a.point.y,c=t.x2*o+a.point.x,u=t.y2*o+a.point.y;return!this.isInsideGrid(s,l,c,u)||!e&&this.grid.hitTest(s,l,c,u,i)?{box:[],offscreen:!1}:{box:[s,l,c,u],offscreen:this.isOffscreen(s,l,c,u)}},he.prototype.placeCollisionCircles=function(e,r,n,i,a,o,s,l,c,u,f,h,p){var d=[],m=new t.Point(r.anchorX,r.anchorY),g=te(m,o),v=ee(this.transform.cameraToCenterDistance,g.signedDistanceFromCamera),y=(u?a/v:a*v)/t.ONE_EM,x=te(m,s).point,b=ie(y,i,r.lineOffsetX*y,r.lineOffsetY*y,!1,x,m,r,n,s,{}),_=!1,w=!1,T=!0;if(b){for(var k=.5*h*v+p,A=new t.Point(-100,-100),M=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new Jt,E=b.first,L=b.last,C=[],P=E.path.length-1;P>=1;P--)C.push(E.path[P]);for(var I=1;I<L.path.length;I++)C.push(L.path[I]);var O=2.5*k;if(l){var z=C.map((function(t){return te(t,l)}));C=z.some((function(t){return t.signedDistanceFromCamera<=0}))?[]:z.map((function(t){return t.point}))}var D=[];if(C.length>0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B<C.length;B++)R.x=Math.min(R.x,C[B].x),R.y=Math.min(R.y,C[B].y),F.x=Math.max(F.x,C[B].x),F.y=Math.max(F.y,C[B].y);D=R.x>=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[C]:F.x<A.x||R.x>M.x||F.y<A.y||R.y>M.y?[]:t.clipLine([C],A.x,A.y,M.x,M.y)}for(var N=0,j=D;N<j.length;N+=1){var U=j[N];S.reset(U,.25*k);var V=0;V=S.length<=.5*k?1:Math.ceil(S.paddedLength/O)+1;for(var H=0;H<V;H++){var q=H/Math.max(V-1,1),G=S.lerp(q),Y=G.x+100,W=G.y+100;d.push(Y,W,k,0);var Z=Y-k,X=W-k,J=Y+k,K=W+k;if(T=T&&this.isOffscreen(Z,X,J,K),w=w||this.isInsideGrid(Z,X,J,K),!e&&this.grid.hitTestCircle(Y,W,k,f)&&(_=!0,!c))return{circles:[],offscreen:!1,collisionDetected:_}}}}return{circles:!c&&_||!w?[]:d,offscreen:T,collisionDetected:_}},he.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,i=1/0,a=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var c=l[s],u=new t.Point(c.x+100,c.y+100);n=Math.min(n,u.x),i=Math.min(i,u.y),a=Math.max(a,u.x),o=Math.max(o,u.y),r.push(u)}for(var f={},h={},p=0,d=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o));p<d.length;p+=1){var m=d[p],g=m.key;if(void 0===f[g.bucketInstanceId]&&(f[g.bucketInstanceId]={}),!f[g.bucketInstanceId][g.featureIndex]){var v=[new t.Point(m.x1,m.y1),new t.Point(m.x2,m.y1),new t.Point(m.x2,m.y2),new t.Point(m.x1,m.y2)];t.polygonIntersectsPolygon(r,v)&&(f[g.bucketInstanceId][g.featureIndex]=!0,void 0===h[g.bucketInstanceId]&&(h[g.bucketInstanceId]=[]),h[g.bucketInstanceId].push(g.featureIndex))}}return h},he.prototype.insertCollisionBox=function(t,e,r,n,i){var a={bucketInstanceId:r,featureIndex:n,collisionGroupID:i};(e?this.ignoredGrid:this.grid).insert(a,t[0],t[1],t[2],t[3])},he.prototype.insertCollisionCircles=function(t,e,r,n,i){for(var a=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:i},s=0;s<t.length;s+=4)a.insertCircle(o,t[s],t[s+1],t[s+2])},he.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var i=[r,n,0,1];return fe(i,i,e),{point:new t.Point((i[0]/i[3]+1)/2*this.transform.width+100,(-i[1]/i[3]+1)/2*this.transform.height+100),perspectiveRatio:.5+this.transform.cameraToCenterDistance/i[3]*.5}},he.prototype.isOffscreen=function(t,e,r,n){return r<100||t>=this.screenRightBoundary||n<100||e>this.screenBottomBoundary},he.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},he.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var de=function(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r};de.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var me=function(t,e,r,n,i){this.text=new de(t?t.text:null,e,r,i),this.icon=new de(t?t.icon:null,e,n,i)};me.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var ge=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},ve=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},ye=function(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i},xe=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function be(e,r,n,i,a){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,i);return new t.Point(s+c[0]*a,l+c[1]*a)}function _e(e,r,n,i,a,o){var s=e.x1,l=e.x2,c=e.y1,u=e.y2,f=e.anchorPointX,h=e.anchorPointY,p=new t.Point(r,n);return i&&p._rotate(a?o:-o),{x1:s+p.x,y1:c+p.y,x2:l+p.x,y2:u+p.y,anchorPointX:f,anchorPointY:h}}xe.prototype.get=function(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){var e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:function(t){return t.collisionGroupID===e}}}return this.collisionGroups[t]};var we=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new he(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new xe(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function Te(t,e,r,n,i){t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0)}we.prototype.getBucketParts=function(e,r,n,i){var a=n.getBucket(r),o=n.latestFeatureIndex;if(a&&o&&r.id===a.layerIds[0]){var s=n.collisionBoxArray,l=a.layers[0].layout,c=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),u=n.tileSize/t.EXTENT,f=this.transform.calculatePosMatrix(n.tileID.toUnwrapped()),h=\"map\"===l.get(\"text-pitch-alignment\"),p=\"map\"===l.get(\"text-rotation-alignment\"),d=pe(n,1,this.transform.zoom),m=Qt(f,h,p,this.transform,d),g=null;if(h){var v=$t(f,h,p,this.transform,d);g=t.multiply([],this.transform.labelPlaneMatrix,v)}this.retainedQueryData[a.bucketInstanceId]=new ye(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);var y={bucket:a,layout:l,posMatrix:f,textLabelPlaneMatrix:m,labelToScreenMatrix:g,scale:c,textPixelRatio:u,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(var x=0,b=a.sortKeyRanges;x<b.length;x+=1){var _=b[x],w=_.sortKey,T=_.symbolInstanceStart,k=_.symbolInstanceEnd;e.push({sortKey:w,symbolInstanceStart:T,symbolInstanceEnd:k,parameters:y})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:y})}},we.prototype.attemptAnchorPlacement=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d){var m,g=[f.textOffset0,f.textOffset1],v=be(t,r,n,g,i),y=this.collisionIndex.placeCollisionBox(_e(e,v.x,v.y,a,o,this.transform.angle),u,s,l,c.predicate);if(d&&0===this.collisionIndex.placeCollisionBox(_e(d,v.x,v.y,a,o,this.transform.angle),u,s,l,c.predicate).box.length)return;if(y.box.length>0)return this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(m=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:g,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:m},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:v,placedGlyphBoxes:y}},we.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,c=a.textLabelPlaneMatrix,u=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,m=a.collisionGroup,g=s.get(\"text-optional\"),v=s.get(\"icon-optional\"),y=s.get(\"text-allow-overlap\"),x=s.get(\"icon-allow-overlap\"),b=\"map\"===s.get(\"text-rotation-alignment\"),_=\"map\"===s.get(\"text-pitch-alignment\"),w=\"none\"!==s.get(\"icon-text-fit\"),T=\"viewport-y\"===s.get(\"symbol-z-order\"),k=y&&(x||!o.hasIconData()||v),A=x&&(y||!o.hasTextData()||g);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new ge(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,L={box:null,offscreen:null},C={box:null,offscreen:null},P=null,I=null,O=0,z=0,D=0;a.textFeatureIndex?O=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(O=e.featureIndex),a.verticalTextFeatureIndex&&(z=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i<s.length;i+=1){if(s[i]===t.WritingMode.vertical?(L=n(),C=L):L=r(),L&&L.box&&L.box.length)break}else L=r()};if(s.get(\"text-variable-anchor\")){var N=s.get(\"text-variable-anchor\");if(i.prevPlacement&&i.prevPlacement.variableOffsets[e.crossTileID]){var j=i.prevPlacement.variableOffsets[e.crossTileID];N.indexOf(j.anchor)>0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,c=e.textBoxScale,u=w&&!x?r:null,h={box:[],offscreen:!1},p=y?2*N.length:N.length,d=0;d<p;++d){var g=N[d%N.length],v=d>=N.length,k=i.attemptAnchorPlacement(g,t,a,s,c,b,_,f,l,m,v,e,o,n,u);if(k&&(h=k.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=k.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var H=i.prevPlacement.variableOffsets[e.crossTileID];H&&(i.variableOffsets[e.crossTileID]=H,i.markUsedJustification(o,H.anchor,e,V))}}else{var q=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,y,f,l,m.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return q(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?q(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),Y=t.evaluateSizeForFeature(o.textSizeData,d,G),W=s.get(\"text-padding\"),Z=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(y,G,o.lineVertexArray,o.glyphOffsetArray,Y,l,c,u,n,_,m.predicate,Z,W),T=y||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(D=a.iconFeatureIndex),a.iconBox){var X=function(t){var e=w&&E?_e(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,m.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(I=X(a.verticalIconBox)).box.length>0:(I=X(a.iconBox)).box.length>0,S=S&&I.offscreen}var J=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,K=v||0===e.numIconVertices;if(J||K?K?J||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(C&&C.box&&z?i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,z,m.ID):i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,O,m.ID)),M&&I&&i.collisionIndex.insertCollisionBox(I.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,D,m.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get(\"text-ignore-placement\"),o.bucketInstanceId,O,m.ID),n)){var Q=o.bucketInstanceId,$=i.collisionCircleArrays[Q];void 0===$&&($=i.collisionCircleArrays[Q]=new ve);for(var tt=0;tt<P.circles.length;tt+=4)$.circles.push(P.circles[tt+0]),$.circles.push(P.circles[tt+1]),$.circles.push(P.circles[tt+2]),$.circles.push(P.collisionDetected?1:0)}i.placements[e.crossTileID]=new ge(T||k,M||A,S||o.justReloaded),r[e.crossTileID]=!0}};if(T)for(var S=o.getSortedSymbolIndexes(this.transform.angle),E=S.length-1;E>=0;--E){var L=S[E];M(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C<e.symbolInstanceEnd;C++)M(o.symbolInstances.get(C),o.collisionArrays[C]);if(n&&o.bucketInstanceId in this.collisionCircleArrays){var P=this.collisionCircleArrays[o.bucketInstanceId];t.invert(P.invProjMatrix,l),P.viewportMatrix=this.collisionIndex.getViewportMatrix()}o.justReloaded=!1},we.prototype.markUsedJustification=function(e,r,n,i){var a,o={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};a=i===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:o[t.getAnchorJustification(r)];for(var s=0,l=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];s<l.length;s+=1){var c=l[s];c>=0&&(e.text.placedSymbolArray.get(c).crossTileID=a>=0&&c!==a?0:n.crossTileID)}},we.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1){var l=s[o];e.text.placedSymbolArray.get(l).placedOrientation=i}n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=a)},we.prototype.commit=function(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;var e=this.prevPlacement,r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;var n=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],c=i[s];c?(this.opacities[s]=new me(c,n,l.text,l.icon),r=r||l.text!==c.text.placed||l.icon!==c.icon.placed):(this.opacities[s]=new me(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var u in i){var f=i[u];if(!this.opacities[u]){var h=new me(f,n,!1,!1);h.isHidden()||(this.opacities[u]=h,r=r||f.text.placed||f.icon.placed)}}for(var p in a)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=a[p]);for(var d in o)this.placedOrientations[d]||!this.opacities[d]||this.opacities[d].isHidden()||(this.placedOrientations[d]=o[d]);r?this.lastPlacementChangeTime=t:\"number\"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)},we.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){var a=i[n],o=a.getBucket(t);o&&a.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,a.collisionBoxArray)}},we.prototype.updateBucketOpacities=function(e,r,n){var i=this;e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexArray.clear(),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexArray.clear();var a=e.layers[0].layout,o=new me(null,0,!1,!1,!0),s=a.get(\"text-allow-overlap\"),l=a.get(\"icon-allow-overlap\"),c=a.get(\"text-variable-anchor\"),u=\"map\"===a.get(\"text-rotation-alignment\"),f=\"map\"===a.get(\"text-pitch-alignment\"),h=\"none\"!==a.get(\"icon-text-fit\"),p=new me(null,0,s&&(l||!e.hasIconData()||a.get(\"icon-optional\")),l&&(s||!e.hasTextData()||a.get(\"text-optional\")),!0);!e.collisionArrays&&n&&(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData())&&e.deserializeCollisionBoxes(n);for(var d=function(t,e,r){for(var n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r)},m=function(n){var a=e.symbolInstances.get(n),s=a.numHorizontalGlyphVertices,l=a.numVerticalGlyphVertices,m=a.crossTileID,g=r[m],v=i.opacities[m];g?v=o:v||(v=p,i.opacities[m]=v),r[m]=!0;var y=s>0||l>0,x=a.numIconVertices>0,b=i.placedOrientations[a.crossTileID],_=b===t.WritingMode.vertical,w=b===t.WritingMode.horizontal||b===t.WritingMode.horizontalOnly;if(y){var T=Pe(v.text),k=_?Ie:T;d(e.text,s,k);var A=w?Ie:T;d(e.text,l,A);var M=v.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||_?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=M||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,b);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,\"left\",a,E),i.markUsedOrientation(e,E,a))}if(x){var L=Pe(v.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:Ie;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=v.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var I=C?Ie:L;d(e.icon,a.numVerticalIconVertices,I),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=v.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var O=e.collisionArrays[n];if(O){var z=new t.Point(0,0);if(O.textBox||O.verticalTextBox){var D=!0;if(c){var R=i.variableOffsets[m];R?(z=be(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),u&&z._rotate(f?i.transform.angle:-i.transform.angle)):D=!1}O.textBox&&Te(e.textCollisionBox.collisionVertexArray,v.text.placed,!D||_,z.x,z.y),O.verticalTextBox&&Te(e.textCollisionBox.collisionVertexArray,v.text.placed,!D||w,z.x,z.y)}var F=Boolean(!w&&O.verticalIconBox);O.iconBox&&Te(e.iconCollisionBox.collisionVertexArray,v.icon.placed,F,h?z.x:0,h?z.y:0),O.verticalIconBox&&Te(e.iconCollisionBox.collisionVertexArray,v.icon.placed,!F,h?z.x:0,h?z.y:0)}}},g=0;g<e.symbolInstances.length;g++)m(g);if(e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexBuffer&&e.iconCollisionBox.collisionVertexBuffer.updateData(e.iconCollisionBox.collisionVertexArray),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexBuffer&&e.textCollisionBox.collisionVertexBuffer.updateData(e.textCollisionBox.collisionVertexArray),e.bucketInstanceId in this.collisionCircleArrays){var v=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=v.invProjMatrix,e.placementViewportMatrix=v.viewportMatrix,e.collisionCircleArray=v.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},we.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},we.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},we.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},we.prototype.stillRecent=function(t,e){var r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t},we.prototype.setStale=function(){this.stale=!0};var ke=Math.pow(2,25),Ae=Math.pow(2,24),Me=Math.pow(2,17),Se=Math.pow(2,16),Ee=Math.pow(2,9),Le=Math.pow(2,8),Ce=Math.pow(2,1);function Pe(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*ke+e*Ae+r*Me+e*Se+r*Ee+e*Le+r*Ce+e}var Ie=0,Oe=function(t){this._sortAcrossTiles=\"viewport-y\"!==t.layout.get(\"symbol-z-order\")&&void 0!==t.layout.get(\"symbol-sort-key\").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Oe.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex<t.length;){var o=t[this._currentTileIndex];if(e.getBucketParts(a,n,o,this._sortAcrossTiles),this._currentTileIndex++,i())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,a.sort((function(t,e){return t.sortKey-e.sortKey})));this._currentPartIndex<a.length;){var s=a[this._currentPartIndex];if(e.placeLayerBucketPart(s,this._seenCrossTileIDs,r),this._currentPartIndex++,i())return!0}return!1};var ze=function(t,e,r,n,i,a,o){this.placement=new we(t,i,a,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};ze.prototype.isDone=function(){return this._done},ze.prototype.continuePlacement=function(e,r,n){for(var i=this,a=t.browser.now(),o=function(){var e=t.browser.now()-a;return!i._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Oe(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},ze.prototype.commit=function(t){return this.placement.commit(t),this.placement};var De=512/t.EXTENT/2,Re=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var i=e.get(n),a=i.key;this.indexedSymbolInstances[a]||(this.indexedSymbolInstances[a]=[]),this.indexedSymbolInstances[a].push({crossTileID:i.crossTileID,coord:this.getScaledCoordinates(i,t)})}};Re.prototype.getScaledCoordinates=function(e,r){var n=r.canonical.z-this.tileID.canonical.z,i=De/Math.pow(2,n);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*i),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*i)}},Re.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),i=0;i<t.length;i++){var a=t.get(i);if(!a.crossTileID){var o=this.indexedSymbolInstances[a.key];if(o)for(var s=this.getScaledCoordinates(a,e),l=0,c=o;l<c.length;l+=1){var u=c[l];if(Math.abs(u.coord.x-s.x)<=n&&Math.abs(u.coord.y-s.y)<=n&&!r[u.crossTileID]){r[u.crossTileID]=!0,a.crossTileID=u.crossTileID;break}}}}};var Fe=function(){this.maxCrossTileID=0};Fe.prototype.generate=function(){return++this.maxCrossTileID};var Be=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Be.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],i={};for(var a in n){var o=n[a];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),i[o.tileID.key]=o}this.indexes[r]=i}this.lng=t},Be.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++){e.symbolInstances.get(n).crossTileID=0}this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var i=this.usedCrossTileIDs[t.overscaledZ];for(var a in this.indexes){var o=this.indexes[a];if(Number(a)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var c=o[t.scaledTo(Number(a)).key];c&&c.findMatches(e.symbolInstances,t,i)}}for(var u=0;u<e.symbolInstances.length;u++){var f=e.symbolInstances.get(u);f.crossTileID||(f.crossTileID=r.generate(),i[f.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new Re(t,e.symbolInstances,e.bucketInstanceId),!0},Be.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,i=e.indexedSymbolInstances[r];n<i.length;n+=1){var a=i[n];delete this.usedCrossTileIDs[t][a.crossTileID]}},Be.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var i in n)t[n[i].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[i]),delete n[i],e=!0)}return e};var Ne=function(){this.layerIndexes={},this.crossTileIDs=new Fe,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Ne.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Be);var i=!1,a={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],c=l.getBucket(t);c&&t.id===c.layerIds[0]&&(c.bucketInstanceId||(c.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,c,this.crossTileIDs)&&(i=!0),a[c.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i},Ne.prototype.pruneUnusedLayers=function(t){var e={};for(var r in t.forEach((function(t){e[t]=!0})),this.layerIndexes)e[r]||delete this.layerIndexes[r]};var je=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return\"source.canvas\"!==t.identifier})))},Ue=t.pick(Ut,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),Ve=t.pick(Ut,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),He=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var i=t.styleSpec.$root[n];if(i.required){var a=null;null!=(a=\"version\"===n?r:\"array\"===i.type?[]:{})&&(e[n]=a)}}return e}(),qe=function(e){function r(n,i){var a=this;void 0===i&&(i={}),e.call(this),this.map=n,this.dispatcher=new k(Bt(),this),this.imageManager=new h,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,i.localIdeographFontFamily),this.lineAtlas=new T(256,512),this.crossTileSymbolIndex=new Ne,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"setReferrer\",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginStateChange((function(e){var r={pluginStatus:e.pluginStatus,pluginURL:e.pluginURL};o.dispatcher.broadcast(\"syncRTLPluginState\",r,(function(e,r){if((t.triggerPluginCompletionEvent(e),r)&&r.every((function(t){return t})))for(var n in o.sourceCaches)o.sourceCaches[n].reload()}))})),this.on(\"data\",(function(t){if(\"source\"===t.dataType&&\"metadata\"===t.sourceDataType){var e=a.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in a._layers){var i=a._layers[n];i.source===r.id&&a._validateLayer(i)}}}}))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"}));var i=\"boolean\"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var a=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(a,(function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,i)}))},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._request=t.browser.frame((function(){n._request=null,n._load(e,!1!==r.validate)}))},r.prototype.loadEmpty=function(){this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._load(He,!1)},r.prototype._load=function(e,r){if(!r||!je(this,t.validateStyle(e))){for(var n in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(n,e.sources[n],{validate:!1});e.sprite?this._loadSprite(e.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var i=jt(this.stylesheet.layers);this._order=i.map((function(t){return t.id})),this._layers={},this._serializedLayers={};for(var a=0,o=i;a<o.length;a+=1){var s=o[a];(s=t.createStyleLayer(s)).setEventedParent(this,{layer:{id:s.id}}),this._layers[s.id]=s,this._serializedLayers[s.id]=s.serialize()}this.dispatcher.broadcast(\"setLayers\",this._serializeLayers(this._order)),this.light=new w(this.stylesheet.light),this.fire(new t.Event(\"data\",{dataType:\"style\"})),this.fire(new t.Event(\"style.load\"))}},r.prototype._loadSprite=function(e){var r=this;this._spriteRequest=function(e,r,n){var i,a,o,s=t.browser.devicePixelRatio>1?\"@2x\":\"\",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,\".json\"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,u())})),c=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),(function(t,e){c=null,o||(o=t,a=e,u())}));function u(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],c=l.width,u=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,m=l.stretchX,g=l.stretchY,v=l.content,y=new t.RGBAImage({width:c,height:u});t.RGBAImage.copy(e,y,{x:f,y:h},{x:0,y:0},{width:c,height:u}),r[s]={data:y,pixelRatio:d,sdf:p,stretchX:m,stretchY:g,content:v}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),c&&(c.cancel(),c=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast(\"setImages\",r._availableImages),r.fire(new t.Event(\"data\",{dataType:\"style\"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();(\"geojson\"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+n+'\" does not exist on source \"'+i.id+'\" as specified by style layer \"'+e.id+'\"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=this._layers[i];\"custom\"!==a.type&&e.push(a.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),i=Object.keys(this._removedLayers);for(var a in(n.length||i.length)&&this._updateWorkerLayers(n,i),this._updatedSources){var o=this._updatedSources[a];\"reload\"===o?this._reloadSource(a):\"clear\"===o&&this._clearSource(a)}for(var s in this._updateTilesForChangedImages(),this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}for(var l in this.sourceCaches)this.sourceCaches[l].used=!1;for(var c=0,u=this._order;c<u.length;c+=1){var f=u[c],h=this._layers[f];h.recalculate(e,this._availableImages),!h.isHidden(e.zoom)&&h.source&&(this.sourceCaches[h.source].used=!0)}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event(\"data\",{dataType:\"style\"}))}},r.prototype._updateTilesForChangedImages=function(){var t=Object.keys(this._changedImages);if(t.length){for(var e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies([\"icons\",\"patterns\"],t);this._changedImages={}}},r.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast(\"updateLayers\",{layers:this._serializeLayers(t),removedIds:e})},r.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),je(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=jt(e.layers);var n=Xt(this.serialize(),e).filter((function(t){return!(t.command in Ve)}));if(0===n.length)return!1;var i=n.filter((function(t){return!(t.command in Ue)}));if(i.length>0)throw new Error(\"Unimplemented: \"+i.map((function(t){return t.command})).join(\", \")+\".\");return n.forEach((function(t){\"setTransition\"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(e,r),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"No image with this name exists.\")));this.imageManager.removeImage(e),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error(\"There is already a source with this ID\");if(!r.type)throw new Error(\"The type property must be defined, but the only the following properties were given: \"+Object.keys(r).join(\", \")+\".\");if(!([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0)||!this._validate(t.validateStyle.source,\"sources.\"+e,r,null,n)){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Ct(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error(\"There is no source with this ID\");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source \"'+e+'\" cannot be removed while layer \"'+r+'\" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id \"'+i+'\" already exists on this map')));else{var a;if(\"custom\"===e.type){if(je(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if(\"object\"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,\"layers.\"+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&\"custom\"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]=\"clear\":(this._updatedSources[a.source]=\"reload\",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be moved.\")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be removed.\")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot have zoom extent.\")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,\"layers.\"+i.id+\".filter\",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be filtered.\")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style.\")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;\"geojson\"===o&&i?this.fire(new t.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o=\"vector\"===a?e.sourceLayer:void 0;\"vector\"!==a||o?r&&\"string\"!=typeof e.id&&\"number\"!=typeof e.id?this.fire(new t.ErrorEvent(new Error(\"A feature id is requred to remove its specific state property.\"))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if(\"vector\"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+r+\"' does not exist in the map's style.\")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&\"raster\"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]=\"reload\",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return\"fill-extrusion\"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s<l.length;s+=1){var c=l[s][o];if(c)for(var u=0,f=c;u<f.length;u+=1){var h=f[u];i.push(h)}}}}i.sort((function(t,e){return e.intersectionZ-t.intersectionZ}));for(var p=[],d=this._order.length-1;d>=0;d--){var m=this._order[d];if(r(m))for(var g=i.length-1;g>=0;g--){var v=i[g].feature;if(n[v.layer.id]<d)break;p.push(v),i.pop()}else for(var y=0,x=t;y<x.length;y+=1){var b=x[y][m];if(b)for(var _=0,w=b;_<w.length;_+=1){var T=w[_];p.push(T.feature)}}}return p},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,\"queryRenderedFeatures.filter\",r.filter,null,r);var i={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new t.ErrorEvent(new Error(\"parameters.layers must be an Array.\"))),[];for(var a=0,o=r.layers;a<o.length;a+=1){var s=o[a],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error(\"The layer '\"+s+\"' does not exist in the map's style and cannot be queried for features.\"))),[];i[l.source]=!0}}var c=[];for(var u in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!i[u]||c.push(F(this.sourceCaches[u],this._layers,this._serializedLayers,e,r,n));return this.placement&&c.push(function(t,e,r,n,i,a,o){for(var s={},l=a.queryRenderedSymbols(n),c=[],u=0,f=Object.keys(l).map(Number);u<f.length;u+=1){var h=f[u];c.push(o[h])}c.sort(B);for(var p=function(){var r=m[d],n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,i.filter,i.layers,i.availableImages,t);for(var a in n){var o=s[a]=s[a]||[],c=n[a];c.sort((function(t,e){var n=r.featureSortOrder;if(n){var i=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-i}return e.featureIndex-t.featureIndex}));for(var u=0,f=c;u<f.length;u+=1){var h=f[u];o.push(h)}}},d=0,m=c;d<m.length;d+=1)p();var g=function(e){s[e].forEach((function(n){var i=n.feature,a=t[e],o=r[a.source].getFeatureState(i.layer[\"source-layer\"],i.id);i.source=i.layer.source,i.layer[\"source-layer\"]&&(i.sourceLayer=i.layer[\"source-layer\"]),i.state=o}))};for(var v in s)g(v);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(c)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,\"querySourceFeatures.filter\",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map((function(e){return t.getTileByID(e)})),n=[],i={},a=0;a<r.length;a++){var o=r[a],s=o.tileID.canonical.key;i[s]||(i[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called \"'+t+'\" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast(\"loadWorkerSource\",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),i=!1;for(var a in e)if(!t.deepEqual(e[a],n[a])){i=!0;break}if(i){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,i,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&je(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},i)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off(\"pluginStateChange\",this._rtlTextPluginCallback),this._layers){this._layers[e].setEventedParent(null)}for(var r in this.sourceCaches)this.sourceCaches[r].clearTiles(),this.sourceCaches[r].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,i,a){void 0===a&&(a=!1);for(var o=!1,s=!1,l={},c=0,u=this._order;c<u.length;c+=1){var f=u[c],h=this._layers[f];if(\"symbol\"===h.type){if(!l[h.source]){var p=this.sourceCaches[h.source];l[h.source]=p.getRenderableIds(!0).map((function(t){return p.getTileByID(t)})).sort((function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)}))}var d=this.crossTileSymbolIndex.addLayer(h,l[h.source],e.center.lng);o=o||d}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((a=a||this._layerOrderChanged||0===n)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now(),e.zoom))&&(this.pauseablePlacement=new ze(e,this._order,a,r,n,i,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(var m=0,g=this._order;m<g.length;m+=1){var v=g[m],y=this._layers[v];\"symbol\"===y.type&&this.placement.updateLayerOpacities(y,l[y.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(t.browser.now())},r.prototype._releaseSymbolFadeTiles=function(){for(var t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()},r.prototype.getImages=function(t,e,r){this.imageManager.getImages(e.icons,r),this._updateTilesForChangedImages();var n=this.sourceCaches[e.source];n&&n.setDependencies(e.tileID.key,e.type,e.icons)},r.prototype.getGlyphs=function(t,e,r){this.glyphManager.getGlyphs(e.stacks,r)},r.prototype.getResource=function(e,r,n){return t.makeRequest(r,n)},r}(t.Evented);qe.getSourceType=function(t){return D[t]},qe.setSourceType=function(t,e){D[t]=e},qe.registerForPluginStateChange=t.registerForPluginStateChange;var Ge=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Ye=yr(\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\",\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}\"),We=yr(\"uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),Ze=yr(\"uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}\"),Xe=yr(\"varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main(void) {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}\"),Je=yr(\"void main() {gl_FragColor=vec4(1.0);}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),Ke=yr(\"uniform highp float u_intensity;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main() {\\n#pragma mapbox: initialize highp float weight\\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#pragma mapbox: define mediump float radius\\nconst highp float ZERO=1.0/255.0/16.0;\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main(void) {\\n#pragma mapbox: initialize highp float weight\\n#pragma mapbox: initialize mediump float radius\\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}\"),Qe=yr(\"uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(0.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}\"),$e=yr(\"varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),tr=yr(\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\"),er=yr(\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}\"),rr=yr(\"#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_FragColor=color*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);}\"),nr=yr(\"varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),ir=yr(\"uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),ar=yr(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}\"),or=yr(\"varying vec4 v_color;void main() {gl_FragColor=v_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\\n#pragma mapbox: define highp float base\\n#pragma mapbox: define highp float height\\n#pragma mapbox: define highp vec4 color\\nvoid main() {\\n#pragma mapbox: initialize highp float base\\n#pragma mapbox: initialize highp float height\\n#pragma mapbox: initialize highp vec4 color\\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}\"),sr=yr(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\\n? a_pos\\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}\"),lr=yr(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform float u_maxzoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggeration=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/ pow(2.0,(u_zoom-u_maxzoom)*exaggeration+19.2562-u_zoom);gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\"),cr=yr(\"uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\\n#define PI 3.141592653589793\\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\"),ur=yr(\"uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),fr=yr(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,vec2(v_lineprogress,0.5));gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define MAX_LINE_DISTANCE 32767.0\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_lineprogress=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0/MAX_LINE_DISTANCE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),hr=yr(\"uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}\"),pr=yr(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}\"),dr=yr(\"uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\"),mr=yr(\"uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}\"),gr=yr(\"#define SDF_PX 8.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}\"),vr=yr(\"#define SDF_PX 8.0\\n#define SDF 1.0\\n#define ICON 0.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}\");function yr(t,e){var r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n={};return{fragmentSource:t=t.replace(r,(function(t,e,r,i,a){return n[a]=!0,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"})),vertexSource:e=e.replace(r,(function(t,e,r,i,a){var o=\"float\"===i?\"vec2\":\"vec4\",s=a.match(/color/)?\"color\":o;return n[a]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+a+\" = a_\"+a+\";\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = a_\"+a+\";\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"}))}}var xr=Object.freeze({__proto__:null,prelude:Ye,background:We,backgroundPattern:Ze,circle:Xe,clippingMask:Je,heatmap:Ke,heatmapTexture:Qe,collisionBox:$e,collisionCircle:tr,debug:er,fill:rr,fillOutline:nr,fillOutlinePattern:ir,fillPattern:ar,fillExtrusion:or,fillExtrusionPattern:sr,hillshadePrepare:lr,hillshade:cr,line:ur,lineGradient:fr,linePattern:hr,lineSDF:pr,raster:dr,symbolIcon:mr,symbolSDF:gr,symbolTextAndIcon:vr}),br=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};br.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,c=0;!l&&c<n.length;c++)this.boundPaintVertexBuffers[c]!==n[c]&&(l=!0);var u=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||l||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||u?this.freshBind(e,r,n,i,a,o,s):(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind())},br.prototype.freshBind=function(t,e,r,n,i,a,o){var s,l=t.numAttributes,c=this.context,u=c.gl;if(c.extVertexArrayObject)this.vao&&this.destroy(),this.vao=c.extVertexArrayObject.createVertexArrayOES(),c.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=i,this.boundDynamicVertexBuffer=a,this.boundDynamicVertexBuffer2=o;else{s=c.currentNumAttributes||0;for(var f=l;f<s;f++)u.disableVertexAttribArray(f)}e.enableAttributes(u,t);for(var h=0,p=r;h<p.length;h+=1){p[h].enableAttributes(u,t)}a&&a.enableAttributes(u,t),o&&o.enableAttributes(u,t),e.bind(),e.setVertexAttribPointers(u,t,i);for(var d=0,m=r;d<m.length;d+=1){var g=m[d];g.bind(),g.setVertexAttribPointers(u,t,i)}a&&(a.bind(),a.setVertexAttribPointers(u,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(u,t,i)),c.currentNumAttributes=l},br.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var _r=function(t,e,r,n,i){var a=t.gl;this.program=a.createProgram();var o=r?r.defines():[];i&&o.push(\"#define OVERDRAW_INSPECTOR;\");var s=o.concat(Ye.fragmentSource,e.fragmentSource).join(\"\\n\"),l=o.concat(Ye.vertexSource,e.vertexSource).join(\"\\n\"),c=a.createShader(a.FRAGMENT_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(c,s),a.compileShader(c),a.attachShader(this.program,c);var u=a.createShader(a.VERTEX_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(u,l),a.compileShader(u),a.attachShader(this.program,u);for(var f=r?r.layoutAttributes:[],h=0;h<f.length;h++)a.bindAttribLocation(this.program,h,f[h].name);a.linkProgram(this.program),a.deleteShader(u),a.deleteShader(c),this.numAttributes=a.getProgramParameter(this.program,a.ACTIVE_ATTRIBUTES),this.attributes={};for(var p={},d=0;d<this.numAttributes;d++){var m=a.getActiveAttrib(this.program,d);m&&(this.attributes[m.name]=a.getAttribLocation(this.program,m.name))}for(var g=a.getProgramParameter(this.program,a.ACTIVE_UNIFORMS),v=0;v<g;v++){var y=a.getActiveUniform(this.program,v);y&&(p[y.name]=a.getUniformLocation(this.program,y.name))}this.fixedUniforms=n(t,p),this.binderUniforms=r?r.getUniforms(t,p):[]}}};function wr(t,e,r){var n=1/pe(r,1,e.transform.tileZoom),i=Math.pow(2,r.tileID.overscaledZ),a=r.tileSize*Math.pow(2,e.transform.tileZoom)/i,o=a*(r.tileID.canonical.x+r.tileID.wrap*i),s=a*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}_r.prototype.draw=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m){var g,v=t.gl;if(!this.failedToCreate){for(var y in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[y].set(o[y]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(g={},g[v.LINES]=2,g[v.TRIANGLES]=3,g[v.LINE_STRIP]=1,g)[e],b=0,_=u.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new br)).bind(t,this,l,p?p.getPaintVertexBuffers():[],c,w.vertexOffset,d,m),v.drawElements(e,w.primitiveLength*x,v.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Tr=function(e,r,n,i){var a=r.style.light,o=a.properties.get(\"position\"),s=[o.x,o.y,o.z],l=t.create$1();\"viewport\"===a.properties.get(\"anchor\")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var c=a.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get(\"intensity\"),u_lightcolor:[c.r,c.g,c.b],u_vertical_gradient:+n,u_opacity:i}},kr=function(e,r,n,i,a,o,s){return t.extend(Tr(e,r,n,i),wr(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Ar=function(t){return{u_matrix:t}},Mr=function(e,r,n,i){return t.extend(Ar(e),wr(n,r,i))},Sr=function(t,e){return{u_matrix:t,u_world:e}},Er=function(e,r,n,i,a){return t.extend(Mr(e,r,n,i),{u_world:a})},Lr=function(e,r,n,i){var a,o,s=e.transform;if(\"map\"===i.paint.get(\"circle-pitch-alignment\")){var l=pe(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+(\"map\"===i.paint.get(\"circle-pitch-scale\")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get(\"circle-translate\"),i.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Cr=function(t,e,r){var n=pe(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},Pr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},Ir=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Or=function(t){return{u_matrix:t}},zr=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:pe(e,1,r),u_intensity:n}};function Dr(e,r){var n=Math.pow(2,r.canonical.z),i=r.canonical.y;return[new t.MercatorCoordinate(0,i/n).toLngLat().lat,new t.MercatorCoordinate(0,(i+1)/n).toLngLat().lat]}var Rr=function(e,r,n){var i=e.transform;return{u_matrix:Ur(e,r,n),u_ratio:1/pe(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},Fr=function(e,r,n){return t.extend(Rr(e,r,n),{u_image:0})},Br=function(e,r,n,i){var a=e.transform,o=jr(r,a);return{u_matrix:Ur(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/pe(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Nr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=jr(r,o),c=\"round\"===n.layout.get(\"line-cap\"),u=s.getDash(i.from,c),f=s.getDash(i.to,c),h=u.width*a.fromScale,p=f.width*a.toScale;return t.extend(Rr(e,r,n),{u_patternscale_a:[l/h,-u.height/2],u_patternscale_b:[l/p,-f.height/2],u_sdfgamma:s.width/(256*Math.min(h,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:u.y,u_tex_y_b:f.y,u_mix:a.t})};function jr(t,e){return 1/pe(t,1,e.tileZoom)}function Ur(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var Vr=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get(\"raster-brightness-min\"),u_brightness_high:i.paint.get(\"raster-brightness-max\"),u_saturation_factor:(o=i.paint.get(\"raster-saturation\"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get(\"raster-contrast\"),a>0?1/(1-a):1+a),u_spin_weights:Hr(i.paint.get(\"raster-hue-rotate\"))};var a,o};function Hr(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var qr,Gr=function(t,e,r,n,i,a,o,s,l,c){var u=i.transform;return{u_is_size_zoom_constant:+(\"constant\"===t||\"source\"===t),u_is_size_feature_constant:+(\"constant\"===t||\"camera\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:u.cameraToCenterDistance,u_pitch:u.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:u.width/u.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:c,u_texture:0}},Yr=function(e,r,n,i,a,o,s,l,c,u,f){var h=a.transform;return t.extend(Gr(e,r,n,i,a,o,s,l,c,u),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},Wr=function(e,r,n,i,a,o,s,l,c,u){return t.extend(Yr(e,r,n,i,a,o,s,l,!0,c,!0),{u_texsize_icon:u,u_texture_icon:1})},Zr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},Xr=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,c=Math.pow(2,n.tileID.overscaledZ),u=n.tileSize*Math.pow(2,r.transform.tileZoom)/c,f=u*(n.tileID.canonical.x+n.tileID.wrap*c),h=u*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/pe(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},Jr={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_maxzoom:new t.Uniform1f(e,r.u_maxzoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function Kr(e,r,n,i,a,o,s){for(var l=e.context,c=l.gl,u=e.useProgram(\"collisionBox\"),f=[],h=0,p=0,d=0;d<i.length;d++){var m=i[d],g=r.getTile(m),v=g.getBucket(n);if(v){var y=m.posMatrix;0===a[0]&&0===a[1]||(y=e.translatePosMatrix(m.posMatrix,g,a,o));var x=s?v.textCollisionBox:v.iconCollisionBox,b=v.collisionCircleArray;if(b.length>0){var _=t.create(),w=y;t.mul(_,v.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,v.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&u.draw(l,c.LINES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,Cr(y,e.transform,g),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram(\"collisionCircle\"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var A=0,M=0,S=f;M<S.length;M+=1)for(var E=S[M],L=0;L<E.circleArray.length/4;L++){var C=4*L,P=E.circleArray[C+0],I=E.circleArray[C+1],O=E.circleArray[C+2],z=E.circleArray[C+3];k.emplace(A++,P,I,O,z,0),k.emplace(A++,P,I,O,z,1),k.emplace(A++,P,I,O,z,2),k.emplace(A++,P,I,O,z,3)}(!qr||qr.length<2*h)&&(qr=function(e){var r=2*e,n=new t.StructArrayLayout3ui6;n.resize(r),n._trim();for(var i=0;i<r;i++){var a=6*i;n.uint16[a+0]=4*i+0,n.uint16[a+1]=4*i+1,n.uint16[a+2]=4*i+2,n.uint16[a+3]=4*i+2,n.uint16[a+4]=4*i+3,n.uint16[a+5]=4*i+0}return n}(h));for(var D=l.createIndexBuffer(qr,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=f;F<B.length;F+=1){var N=B[F],j=Pr(N.transform,N.invTransform,e.transform);T.draw(l,c.TRIANGLES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,j,n.id,R,D,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),D.destroy()}}var Qr=t.identity(new Float32Array(16));function $r(e,r,n,i,a,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,c=-(s.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,i);return new t.Point((l/a+u[0])*o,(c/a+u[1])*o)}function tn(e,r,n,i,a,o,s,l,c,u,f){var h=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,m={};p.clear();for(var g=0;g<h.length;g++){var v=h.get(g),y=e.allowVerticalPlacement&&!v.placedOrientation,x=v.hidden||!v.crossTileID||y?null:i[v.crossTileID];if(x){var b=new t.Point(v.anchorX,v.anchorY),_=te(b,n?l:s),w=ee(o.cameraToCenterDistance,_.signedDistanceFromCamera),T=a.evaluateSizeForFeature(e.textSizeData,u,v)*w/t.ONE_EM;n&&(T*=e.tilePixelRatio/c);for(var k=x.width,A=x.height,M=$r(x.anchor,k,A,x.textOffset,x.textBoxScale,T),S=n?te(b.add(M),s).point:_.point.add(r?M.rotate(-o.angle):M),E=e.allowVerticalPlacement&&v.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,L=0;L<v.numGlyphs;L++)t.addDynamicAttributes(p,S,E);f&&v.associatedIconIndex>=0&&(m[v.associatedIconIndex]={shiftedAnchor:S,angle:E})}else ue(v.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P<C.length;P++){var I=C.get(P);if(I.hidden)ue(I.numGlyphs,d);else{var O=m[P];if(O)for(var z=0;z<I.numGlyphs;z++)t.addDynamicAttributes(d,O.shiftedAnchor,O.angle);else ue(I.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function en(t,e,r){return r.iconsInText&&e?\"symbolTextAndIcon\":t?\"symbolSDF\":\"symbolIcon\"}function rn(e,r,n,i,a,o,s,l,c,u,f,h){for(var p=e.context,d=p.gl,m=e.transform,g=\"map\"===l,v=\"map\"===c,y=g&&\"point\"!==n.layout.get(\"symbol-placement\"),x=g&&!v&&!y,b=void 0!==n.layout.get(\"symbol-sort-key\").constantOr(1),_=e.depthModeForSublayer(0,At.ReadOnly),w=n.layout.get(\"text-variable-anchor\"),T=[],k=0,A=i;k<A.length;k+=1){var M=A[k],S=r.getTile(M),E=S.getBucket(n);if(E){var L=a?E.text:E.icon;if(L&&L.segments.get().length){var C=L.programConfigurations.get(n.id),P=a||E.sdfIcons,I=a?E.textSizeData:E.iconSizeData,O=v||0!==m.pitch,z=e.useProgram(en(P,a,E),C),D=t.evaluateSizeForZoom(I,m.zoom),R=void 0,F=[0,0],B=void 0,N=void 0,j=null,U=void 0;if(a){if(B=S.glyphAtlasTexture,N=d.LINEAR,R=S.glyphAtlasTexture.size,E.iconsInText){F=S.imageAtlasTexture.size,j=S.imageAtlasTexture;var V=\"composite\"===I.kind||\"camera\"===I.kind;U=O||e.options.rotating||e.options.zooming||V?d.LINEAR:d.NEAREST}}else{var H=1!==n.layout.get(\"icon-size\").constantOr(0)||E.iconsNeedLinear;B=S.imageAtlasTexture,N=P||e.options.rotating||e.options.zooming||H||O?d.LINEAR:d.NEAREST,R=S.imageAtlasTexture.size}var q=pe(S,1,e.transform.zoom),G=Qt(M.posMatrix,v,g,e.transform,q),Y=$t(M.posMatrix,v,g,e.transform,q),W=w&&E.hasTextData(),Z=\"none\"!==n.layout.get(\"icon-text-fit\")&&W&&E.hasIconData();y&&ne(E,M.posMatrix,e,a,G,Y,v,u);var X=e.translatePosMatrix(M.posMatrix,S,o,s),J=y||a&&w||Z?Qr:G,K=e.translatePosMatrix(Y,S,o,s,!0),Q=P&&0!==n.paint.get(a?\"text-halo-width\":\"icon-halo-width\").constantOr(1),$={program:z,buffers:L,uniformValues:P?E.iconsInText?Wr(I.kind,D,x,v,e,X,J,K,R,F):Yr(I.kind,D,x,v,e,X,J,K,a,R,!0):Gr(I.kind,D,x,v,e,X,J,K,a,R),atlasTexture:B,atlasTextureIcon:j,atlasInterpolation:N,atlasInterpolationIcon:U,isSDF:P,hasHalo:Q};if(b)for(var tt=0,et=L.segments.get();tt<et.length;tt+=1){var rt=et[tt];T.push({segments:new t.SegmentVector([rt]),sortKey:rt.sortKey,state:$})}else T.push({segments:L.segments,sortKey:0,state:$})}}}b&&T.sort((function(t,e){return t.sortKey-e.sortKey}));for(var nt=0,it=T;nt<it.length;nt+=1){var at=it[nt],ot=at.state;if(p.activeTexture.set(d.TEXTURE0),ot.atlasTexture.bind(ot.atlasInterpolation,d.CLAMP_TO_EDGE),ot.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),ot.atlasTextureIcon&&ot.atlasTextureIcon.bind(ot.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),ot.isSDF){var st=ot.uniformValues;ot.hasHalo&&(st.u_is_halo=1,nn(ot.buffers,at.segments,n,e,ot.program,_,f,h,st)),st.u_is_halo=0}nn(ot.buffers,at.segments,n,e,ot.program,_,f,h,ot.uniformValues)}}function nn(t,e,r,n,i,a,o,s,l){var c=n.context,u=c.gl;i.draw(c,u.TRIANGLES,a,o,s,Et.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function an(t,e,r,n,i,a,o){var s,l,c,u,f,h=t.context.gl,p=r.paint.get(\"fill-pattern\"),d=p&&p.constantOr(1),m=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",s=h.LINES):(l=d?\"fillPattern\":\"fill\",s=h.TRIANGLES);for(var g=0,v=n;g<v.length;g+=1){var y=v[g],x=e.getTile(y);if(!d||x.patternsLoaded()){var b=x.getBucket(r);if(b){var _=b.programConfigurations.get(r.id),w=t.useProgram(l,_);d&&(t.context.activeTexture.set(h.TEXTURE0),x.imageAtlasTexture.bind(h.LINEAR,h.CLAMP_TO_EDGE),_.updatePaintBuffers(m));var T=p.constantOr(null);if(T&&x.imageAtlas){var k=x.imageAtlas,A=k.patternPositions[T.to.toString()],M=k.patternPositions[T.from.toString()];A&&M&&_.setConstantPatternPositions(A,M)}var S=t.translatePosMatrix(y.posMatrix,x,r.paint.get(\"fill-translate\"),r.paint.get(\"fill-translate-anchor\"));if(o){u=b.indexBuffer2,f=b.segments2;var E=[h.drawingBufferWidth,h.drawingBufferHeight];c=\"fillOutlinePattern\"===l&&d?Er(S,t,m,x,E):Sr(S,E)}else u=b.indexBuffer,f=b.segments,c=d?Mr(S,t,m,x):Ar(S);w.draw(t.context,s,i,t.stencilModeForClipping(y),a,Et.disabled,c,r.id,b.layoutVertexBuffer,u,f,r.paint,t.transform.zoom,_)}}}}function on(t,e,r,n,i,a,o){for(var s=t.context,l=s.gl,c=r.paint.get(\"fill-extrusion-pattern\"),u=c.constantOr(1),f=r.getCrossfadeParameters(),h=r.paint.get(\"fill-extrusion-opacity\"),p=0,d=n;p<d.length;p+=1){var m=d[p],g=e.getTile(m),v=g.getBucket(r);if(v){var y=v.programConfigurations.get(r.id),x=t.useProgram(u?\"fillExtrusionPattern\":\"fillExtrusion\",y);u&&(t.context.activeTexture.set(l.TEXTURE0),g.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),y.updatePaintBuffers(f));var b=c.constantOr(null);if(b&&g.imageAtlas){var _=g.imageAtlas,w=_.patternPositions[b.to.toString()],T=_.patternPositions[b.from.toString()];w&&T&&y.setConstantPatternPositions(w,T)}var k=t.translatePosMatrix(m.posMatrix,g,r.paint.get(\"fill-extrusion-translate\"),r.paint.get(\"fill-extrusion-translate-anchor\")),A=r.paint.get(\"fill-extrusion-vertical-gradient\"),M=u?kr(k,t,A,h,m,f,g):Tr(k,t,A,h);x.draw(s,s.gl.TRIANGLES,i,a,o,Et.backCCW,M,r.id,v.layoutVertexBuffer,v.indexBuffer,v.segments,r.paint,t.transform.zoom,y)}}}function sn(t,e,r,n,i,a){var o=t.context,s=o.gl,l=e.fbo;if(l){var c=t.useProgram(\"hillshade\");o.activeTexture.set(s.TEXTURE0),s.bindTexture(s.TEXTURE_2D,l.colorAttachment.get());var u=function(t,e,r){var n=r.paint.get(\"hillshade-shadow-color\"),i=r.paint.get(\"hillshade-highlight-color\"),a=r.paint.get(\"hillshade-accent-color\"),o=r.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);\"viewport\"===r.paint.get(\"hillshade-illumination-anchor\")&&(o-=t.transform.angle);var s=!t.options.moving;return{u_matrix:t.transform.calculatePosMatrix(e.tileID.toUnwrapped(),s),u_image:0,u_latrange:Dr(t,e.tileID),u_light:[r.paint.get(\"hillshade-exaggeration\"),o],u_shadow:n,u_highlight:i,u_accent:a}}(t,e,r);c.draw(o,s.TRIANGLES,n,i,a,Et.disabled,u,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}function ln(e,r,n,i,a,o,s){var l=e.context,c=l.gl,u=r.dem;if(u&&u.data){var f=u.dim,h=u.stride,p=u.getPixels();if(l.activeTexture.set(c.TEXTURE1),l.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(h),r.demTexture){var d=r.demTexture;d.update(p,{premultiply:!1}),d.bind(c.NEAREST,c.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(l,p,c.RGBA,{premultiply:!1}),r.demTexture.bind(c.NEAREST,c.CLAMP_TO_EDGE);l.activeTexture.set(c.TEXTURE0);var m=r.fbo;if(!m){var g=new t.Texture(l,{width:f,height:f,data:null},c.RGBA);g.bind(c.LINEAR,c.CLAMP_TO_EDGE),(m=r.fbo=l.createFramebuffer(f,f,!0)).colorAttachment.set(g.texture)}l.bindFramebuffer.set(m.framebuffer),l.viewport.set([0,0,f,f]),e.useProgram(\"hillshadePrepare\").draw(l,c.TRIANGLES,a,o,s,Et.disabled,function(e,r,n){var i=r.stride,a=t.create();return t.ortho(a,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(a,a,[0,-t.EXTENT,0]),{u_matrix:a,u_image:1,u_dimension:[i,i],u_zoom:e.overscaledZ,u_maxzoom:n,u_unpack:r.getUnpackVector()}}(r.tileID,u,i),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function cn(e,r,n,i,a){var o=i.paint.get(\"raster-fade-duration\");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,c=r?(s-r.timeAdded)/o:-1,u=n.getSource(),f=a.coveringZoomLevel({tileSize:u.tileSize,roundZoom:u.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-c,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var un=new t.Color(1,0,0,1),fn=new t.Color(0,1,0,1),hn=new t.Color(0,0,1,1),pn=new t.Color(1,0,1,1),dn=new t.Color(0,1,1,1);function mn(t){var e=t.transform.padding;gn(t,t.transform.height-(e.top||0),3,un),gn(t,e.bottom||0,3,fn),vn(t,e.left||0,3,hn),vn(t,t.transform.width-(e.right||0),3,pn);var r=t.transform.centerPoint;!function(t,e,r,n){yn(t,e-1,r-10,2,20,n),yn(t,e-10,r-1,20,2,n)}(t,r.x,t.transform.height-r.y,dn)}function gn(t,e,r,n){yn(t,0,e+r/2,t.transform.width,r,n)}function vn(t,e,r,n){yn(t,e-r/2,0,r,t.transform.height,n)}function yn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function xn(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram(\"debug\"),l=At.disabled,c=Mt.disabled,u=e.colorModeForRenderPass();i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,c,u,Et.disabled,Ir(o,t.Color.red),\"$debug\",e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var f=r.getTileByID(n.key).latestRawTileData,h=f&&f.byteLength||0,p=Math.floor(h/1024),d=r.getTile(n).tileSize,m=512/Math.min(d,512)*(n.overscaledZ/e.transform.zoom)*.5,g=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(g+=\" => \"+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext(\"2d\");i.clearRect(0,0,r.width,r.height),i.shadowColor=\"white\",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle=\"white\",i.textBaseline=\"top\",i.font=\"bold 36px Open Sans, sans-serif\",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,g+\" \"+p+\"kb\"),s.draw(i,a.TRIANGLES,l,c,St.alphaBlended,Et.disabled,Ir(o,t.Color.transparent,m),\"$debug\",e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var bn={symbol:function(e,r,n,i,a){if(\"translucent\"===e.renderPass){var o=Mt.disabled,s=e.colorModeForRenderPass();n.layout.get(\"text-variable-anchor\")&&function(e,r,n,i,a,o,s){for(var l=r.transform,c=\"map\"===a,u=\"map\"===o,f=0,h=e;f<h.length;f+=1){var p=h[f],d=i.getTile(p),m=d.getBucket(n);if(m&&m.text&&m.text.segments.get().length){var g=m.textSizeData,v=t.evaluateSizeForZoom(g,l.zoom),y=pe(d,1,r.transform.zoom),x=Qt(p.posMatrix,u,c,r.transform,y),b=\"none\"!==n.layout.get(\"icon-text-fit\")&&m.hasIconData();if(v){var _=Math.pow(2,l.zoom-d.tileID.overscaledZ);tn(m,c,u,s,t.symbolSize,l,x,p.posMatrix,_,v,b)}}}}(i,e,n,r,n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),a),0!==n.paint.get(\"icon-opacity\").constantOr(1)&&rn(e,r,n,i,!1,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),n.layout.get(\"icon-rotation-alignment\"),n.layout.get(\"icon-pitch-alignment\"),n.layout.get(\"icon-keep-upright\"),o,s),0!==n.paint.get(\"text-opacity\").constantOr(1)&&rn(e,r,n,i,!0,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),n.layout.get(\"text-keep-upright\"),o,s),r.map.showCollisionBoxes&&(Kr(e,r,n,i,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),!0),Kr(e,r,n,i,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),!1))}},circle:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"circle-opacity\"),o=n.paint.get(\"circle-stroke-width\"),s=n.paint.get(\"circle-stroke-opacity\"),l=void 0!==n.layout.get(\"circle-sort-key\").constantOr(1);if(0!==a.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var c=e.context,u=c.gl,f=e.depthModeForSublayer(0,At.ReadOnly),h=Mt.disabled,p=e.colorModeForRenderPass(),d=[],m=0;m<i.length;m++){var g=i[m],v=r.getTile(g),y=v.getBucket(n);if(y){var x=y.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram(\"circle\",x),layoutVertexBuffer:y.layoutVertexBuffer,indexBuffer:y.indexBuffer,uniformValues:Lr(e,g,v,n)};if(l)for(var _=0,w=y.segments.get();_<w.length;_+=1){var T=w[_];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:b})}else d.push({segments:y.segments,sortKey:0,state:b})}}l&&d.sort((function(t,e){return t.sortKey-e.sortKey}));for(var k=0,A=d;k<A.length;k+=1){var M=A[k],S=M.state,E=S.programConfiguration,L=S.program,C=S.layoutVertexBuffer,P=S.indexBuffer,I=S.uniformValues,O=M.segments;L.draw(c,u.TRIANGLES,f,h,p,Et.disabled,I,n.id,C,P,O,n.paint,e.transform.zoom,E)}}}},heatmap:function(e,r,n,i){if(0!==n.paint.get(\"heatmap-opacity\"))if(\"offscreen\"===e.renderPass){var a=e.context,o=a.gl,s=Mt.disabled,l=new St([o.ONE,o.ONE],t.Color.transparent,[!0,!0,!0,!0]);!function(t,e,r){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var i=r.heatmapFbo;if(i)n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),t.bindFramebuffer.set(i.framebuffer);else{var a=n.createTexture();n.bindTexture(n.TEXTURE_2D,a),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),i=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1),function(t,e,r,n){var i=t.gl,a=t.extRenderToTextureHalfFloat?t.extTextureHalfFloat.HALF_FLOAT_OES:i.UNSIGNED_BYTE;i.texImage2D(i.TEXTURE_2D,0,i.RGBA,e.width/4,e.height/4,0,i.RGBA,a,null),n.colorAttachment.set(r)}(t,e,a,i)}}(a,e,n),a.clear({color:t.Color.transparent});for(var c=0;c<i.length;c++){var u=i[c];if(!r.hasRenderableParent(u)){var f=r.getTile(u),h=f.getBucket(n);if(h){var p=h.programConfigurations.get(n.id),d=e.useProgram(\"heatmap\",p),m=e.transform.zoom;d.draw(a,o.TRIANGLES,At.disabled,s,l,Et.disabled,zr(u.posMatrix,f,m,n.paint.get(\"heatmap-intensity\")),n.id,h.layoutVertexBuffer,h.indexBuffer,h.segments,n.paint,e.transform.zoom,p)}}}a.viewport.set([0,0,e.width,e.height])}else\"translucent\"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,i=n.gl,a=r.heatmapFbo;if(!a)return;n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,a.colorAttachment.get()),n.activeTexture.set(i.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,i.RGBA));o.bind(i.LINEAR,i.CLAMP_TO_EDGE),e.useProgram(\"heatmapTexture\").draw(n,i.TRIANGLES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,function(e,r,n,i){var a=t.create();t.ortho(a,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:i,u_opacity:r.paint.get(\"heatmap-opacity\")}}(e,r,0,1),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}(e,n))},line:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"line-opacity\"),o=n.paint.get(\"line-width\");if(0!==a.constantOr(1)&&0!==o.constantOr(1)){var s=e.depthModeForSublayer(0,At.ReadOnly),l=e.colorModeForRenderPass(),c=n.paint.get(\"line-dasharray\"),u=n.paint.get(\"line-pattern\"),f=u.constantOr(1),h=n.paint.get(\"line-gradient\"),p=n.getCrossfadeParameters(),d=f?\"linePattern\":c?\"lineSDF\":h?\"lineGradient\":\"line\",m=e.context,g=m.gl,v=!0;if(h){m.activeTexture.set(g.TEXTURE0);var y=n.gradientTexture;if(!n.gradient)return;y||(y=n.gradientTexture=new t.Texture(m,n.gradient,g.RGBA)),y.bind(g.LINEAR,g.CLAMP_TO_EDGE)}for(var x=0,b=i;x<b.length;x+=1){var _=b[x],w=r.getTile(_);if(!f||w.patternsLoaded()){var T=w.getBucket(n);if(T){var k=T.programConfigurations.get(n.id),A=e.context.program.get(),M=e.useProgram(d,k),S=v||M.program!==A,E=u.constantOr(null);if(E&&w.imageAtlas){var L=w.imageAtlas,C=L.patternPositions[E.to.toString()],P=L.patternPositions[E.from.toString()];C&&P&&k.setConstantPatternPositions(C,P)}var I=f?Br(e,w,n,p):c?Nr(e,w,n,c,p):h?Fr(e,w,n):Rr(e,w,n);f?(m.activeTexture.set(g.TEXTURE0),w.imageAtlasTexture.bind(g.LINEAR,g.CLAMP_TO_EDGE),k.updatePaintBuffers(p)):c&&(S||e.lineAtlas.dirty)&&(m.activeTexture.set(g.TEXTURE0),e.lineAtlas.bind(m)),M.draw(m,g.TRIANGLES,s,e.stencilModeForClipping(_),l,Et.disabled,I,n.id,T.layoutVertexBuffer,T.indexBuffer,T.segments,n.paint,e.transform.zoom,k),v=!1}}}}}},fill:function(e,r,n,i){var a=n.paint.get(\"fill-color\"),o=n.paint.get(\"fill-opacity\");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get(\"fill-pattern\"),c=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?\"opaque\":\"translucent\";if(e.renderPass===c){var u=e.depthModeForSublayer(1,\"opaque\"===e.renderPass?At.ReadWrite:At.ReadOnly);an(e,r,n,i,u,s,!1)}if(\"translucent\"===e.renderPass&&n.paint.get(\"fill-antialias\")){var f=e.depthModeForSublayer(n.getPaintProperty(\"fill-outline-color\")?2:0,At.ReadOnly);an(e,r,n,i,f,s,!0)}}},\"fill-extrusion\":function(t,e,r,n){var i=r.paint.get(\"fill-extrusion-opacity\");if(0!==i&&\"translucent\"===t.renderPass){var a=new At(t.context.gl.LEQUAL,At.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get(\"fill-extrusion-pattern\").constantOr(1))on(t,e,r,n,a,Mt.disabled,St.disabled),on(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();on(t,e,r,n,a,Mt.disabled,o)}}},hillshade:function(t,e,r,n){if(\"offscreen\"===t.renderPass||\"translucent\"===t.renderPass){for(var i=t.context,a=e.getSource().maxzoom,o=t.depthModeForSublayer(0,At.ReadOnly),s=t.colorModeForRenderPass(),l=\"translucent\"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],c=l[0],u=0,f=l[1];u<f.length;u+=1){var h=f[u],p=e.getTile(h);p.needsHillshadePrepare&&\"offscreen\"===t.renderPass?ln(t,p,r,a,o,Mt.disabled,s):\"translucent\"===t.renderPass&&sn(t,p,r,o,c[h.overscaledZ],s)}i.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if(\"translucent\"===t.renderPass&&0!==r.paint.get(\"raster-opacity\")&&n.length)for(var i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram(\"raster\"),l=t.colorModeForRenderPass(),c=o instanceof I?[{},n]:t.stencilConfigForOverlap(n),u=c[0],f=c[1],h=f[f.length-1].overscaledZ,p=!t.options.moving,d=0,m=f;d<m.length;d+=1){var g=m[d],v=t.depthModeForSublayer(g.overscaledZ-h,1===r.paint.get(\"raster-opacity\")?At.ReadWrite:At.ReadOnly,a.LESS),y=e.getTile(g),x=t.transform.calculatePosMatrix(g.toUnwrapped(),p);y.registerFadeDuration(r.paint.get(\"raster-fade-duration\"));var b=e.findLoadedParent(g,0),_=cn(y,b,e,r,t.transform),w=void 0,T=void 0,k=\"nearest\"===r.paint.get(\"raster-resampling\")?a.NEAREST:a.LINEAR;i.activeTexture.set(a.TEXTURE0),y.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),i.activeTexture.set(a.TEXTURE1),b?(b.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),w=Math.pow(2,b.tileID.overscaledZ-y.tileID.overscaledZ),T=[y.tileID.canonical.x*w%1,y.tileID.canonical.y*w%1]):y.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST);var A=Vr(x,T||[0,0],w||1,_,r);o instanceof I?s.draw(i,a.TRIANGLES,v,Mt.disabled,l,Et.disabled,A,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,v,u[g.overscaledZ],l,Et.disabled,A,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get(\"background-color\"),i=r.paint.get(\"background-opacity\");if(0!==i){var a=t.context,o=a.gl,s=t.transform,l=s.tileSize,c=r.paint.get(\"background-pattern\");if(!t.isPatternMissing(c)){var u=!c&&1===n.a&&1===i&&t.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(t.renderPass===u){var f=Mt.disabled,h=t.depthModeForSublayer(0,\"opaque\"===u?At.ReadWrite:At.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(c?\"backgroundPattern\":\"background\"),m=s.coveringTiles({tileSize:l});c&&(a.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var g=r.getCrossfadeParameters(),v=0,y=m;v<y.length;v+=1){var x=y[v],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=c?Xr(b,i,t,c,{tileID:x,tileSize:l},g):Zr(b,i,n);d.draw(a,o.TRIANGLES,h,f,p,Et.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)xn(t,e,r[n])},custom:function(t,e,r){var n=t.context,i=r.implementation;if(\"offscreen\"===t.renderPass){var a=i.prerender;a&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),a.call(i,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if(\"translucent\"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(Mt.disabled);var o=\"3d\"===i.renderingMode?new At(t.context.gl.LEQUAL,At.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,At.ReadOnly);n.setDepthMode(o),i.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},_n=function(t,e){this.context=new Lt(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Ct.maxUnderzooming+Ct.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Ne,this.gpuTimers={}};_n.prototype.resize=function(e,r){if(this.width=e*t.browser.devicePixelRatio,this.height=r*t.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var n=0,i=this.style._order;n<i.length;n+=1){var a=i[n];this.style._layers[a].resize()}},_n.prototype.setup=function(){var e=this.context,r=new t.StructArrayLayout2i4;r.emplaceBack(0,0),r.emplaceBack(t.EXTENT,0),r.emplaceBack(0,t.EXTENT),r.emplaceBack(t.EXTENT,t.EXTENT),this.tileExtentBuffer=e.createVertexBuffer(r,Ge.members),this.tileExtentSegments=t.SegmentVector.simpleSegment(0,0,4,2);var n=new t.StructArrayLayout2i4;n.emplaceBack(0,0),n.emplaceBack(t.EXTENT,0),n.emplaceBack(0,t.EXTENT),n.emplaceBack(t.EXTENT,t.EXTENT),this.debugBuffer=e.createVertexBuffer(n,Ge.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var i=new t.StructArrayLayout4i8;i.emplaceBack(0,0,0,0),i.emplaceBack(t.EXTENT,0,t.EXTENT,0),i.emplaceBack(0,t.EXTENT,0,t.EXTENT),i.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(i,P.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var a=new t.StructArrayLayout2i4;a.emplaceBack(0,0),a.emplaceBack(1,0),a.emplaceBack(0,1),a.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(a,Ge.members),this.viewportSegments=t.SegmentVector.simpleSegment(0,0,4,2);var o=new t.StructArrayLayout1ui2;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=e.createIndexBuffer(o);var s=new t.StructArrayLayout3ui6;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=e.createIndexBuffer(s),this.emptyTexture=new t.Texture(e,{width:1,height:1,data:new Uint8Array([0,0,0,0])},e.gl.RGBA);var l=this.context.gl;this.stencilClearMode=new Mt({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},_n.prototype.clearStencil=function(){var e=this.context,r=e.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var n=t.create();t.ortho(n,0,this.width,this.height,0,0,1),t.scale(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(e,r.TRIANGLES,At.disabled,this.stencilClearMode,St.disabled,Et.disabled,Or(n),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},_n.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(St.disabled),r.setDepthMode(At.disabled);var i=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var a=0,o=e;a<o.length;a+=1){var s=o[a],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;i.draw(r,n.TRIANGLES,At.disabled,new Mt({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),St.disabled,Et.disabled,Or(s.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},_n.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Mt({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},_n.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Mt({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},_n.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s<a;s++)o[s+i]=new Mt({func:r.GEQUAL,mask:255},s+this.nextStencilID,255,r.KEEP,r.KEEP,r.REPLACE);return this.nextStencilID+=a,[o,n]}return[(e={},e[i]=Mt.disabled,e),n]},_n.prototype.colorModeForRenderPass=function(){var e=this.context.gl;if(this._showOverdrawInspector){return new St([e.CONSTANT_COLOR,e.ONE],new t.Color(1/8,1/8,1/8,0),[!0,!0,!0,!0])}return\"opaque\"===this.renderPass?St.unblended:St.alphaBlended},_n.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return At.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new At(r||this.context.gl.LEQUAL,e,[n,n])},_n.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},_n.prototype.render=function(e,r){var n=this;this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var i=this.style._order,a=this.style.sourceCaches;for(var o in a){var s=a[o];s.used&&s.prepare(this.context)}var l,c,u={},f={},h={};for(var p in a){var d=a[p];u[p]=d.getVisibleCoordinates(),f[p]=u[p].slice().reverse(),h[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var m=0;m<i.length;m++){var g=i[m];if(this.style._layers[g].is3D()){this.opaquePassCutoff=m;break}}this.renderPass=\"offscreen\";for(var v=0,y=i;v<y.length;v+=1){var x=y[v],b=this.style._layers[x];if(b.hasOffscreenPass()&&!b.isHidden(this.transform.zoom)){var _=f[b.source];(\"custom\"===b.type||_.length)&&this.renderLayer(this,a[b.source],b,_)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?t.Color.black:t.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(e._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass=\"opaque\",this.currentLayer=i.length-1;this.currentLayer>=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=u[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<i.length;this.currentLayer++){var A=this.style._layers[i[this.currentLayer]],M=a[A.source],S=(\"symbol\"===A.type?h:f)[A.source];this._renderTileClippingMasks(A,u[A.source]),this.renderLayer(this,M,A,S)}this.options.showTileBoundaries&&(t.values(this.style._layers).forEach((function(t){t.source&&!t.isHidden(n.transform.zoom)&&(t.source!==(c&&c.id)&&(c=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<c.getSource().maxzoom)&&(l=c))})),l&&bn.debug(this,l,l.getVisibleCoordinates()));this.options.showPadding&&mn(this),this.context.setDefault()},_n.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||(\"background\"===r.type||\"custom\"===r.type||n.length)&&(this.id=r.id,this.gpuTimingStart(r),bn[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},_n.prototype.gpuTimingStart=function(t){if(this.options.gpuTiming){var e=this.context.extTimerQuery,r=this.gpuTimers[t.id];r||(r=this.gpuTimers[t.id]={calls:0,cpuTime:0,query:e.createQueryEXT()}),r.calls++,e.beginQueryEXT(e.TIME_ELAPSED_EXT,r.query)}},_n.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},_n.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},_n.prototype.queryGpuTimers=function(t){var e={};for(var r in t){var n=t[r],i=this.context.extTimerQuery,a=i.getQueryObjectEXT(n.query,i.QUERY_RESULT_EXT)/1e6;i.deleteQueryEXT(n.query),e[r]=a}return e},_n.prototype.translatePosMatrix=function(e,r,n,i,a){if(!n[0]&&!n[1])return e;var o=a?\"map\"===i?this.transform.angle:0:\"viewport\"===i?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var c=[a?n[0]:pe(r,n[0],this.transform.zoom),a?n[1]:pe(r,n[1],this.transform.zoom),0],u=new Float32Array(16);return t.translate(u,e,c),u},_n.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},_n.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},_n.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},_n.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=\"\"+t+(e?e.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\");return this.cache[r]||(this.cache[r]=new _r(this.context,xr[t],e,Jr[t],this._showOverdrawInspector)),this.cache[r]},_n.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},_n.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},_n.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},_n.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var wn=function(t,e){this.points=t,this.planes=e};wn.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new wn(a,o)};var Tn=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};Tn.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a<r.length;a++)n[a]=r[a]?this.min[a]:this.center[a],i[a]=r[a]?this.center[a]:this.max[a];return i[2]=this.max[2],new Tn(n,i)},Tn.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},Tn.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},Tn.prototype.intersects=function(e){for(var r=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],n=!0,i=0;i<e.planes.length;i++){for(var a=e.planes[i],o=0,s=0;s<r.length;s++)o+=t.dot$1(a,r[s])>=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var c=Number.MAX_VALUE,u=-Number.MAX_VALUE,f=0;f<e.points.length;f++){var h=e.points[f][l]-this.min[l];c=Math.min(c,h),u=Math.max(u,h)}if(u<0||c>this.max[l]-this.min[l])return 0}return 1};var kn=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error(\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\");this.top=t,this.bottom=e,this.left=r,this.right=n};kn.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},kn.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),i=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,i)},kn.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},kn.prototype.clone=function(){return new kn(this.top,this.bottom,this.left,this.right)},kn.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var An=function(e,r,n,i,a){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===a||a,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new kn,this._posMatrixCache={},this._alignedPosMatrixCache={}},Mn={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};An.prototype.clone=function(){var t=new An(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},Mn.minZoom.get=function(){return this._minZoom},Mn.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},Mn.maxZoom.get=function(){return this._maxZoom},Mn.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},Mn.minPitch.get=function(){return this._minPitch},Mn.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},Mn.maxPitch.get=function(){return this._maxPitch},Mn.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},Mn.renderWorldCopies.get=function(){return this._renderWorldCopies},Mn.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},Mn.worldSize.get=function(){return this.tileSize*this.scale},Mn.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},Mn.size.get=function(){return new t.Point(this.width,this.height)},Mn.bearing.get=function(){return-this.angle/Math.PI*180},Mn.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},Mn.pitch.get=function(){return this._pitch/Math.PI*180},Mn.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},Mn.fov.get=function(){return this._fov/Math.PI*180},Mn.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},Mn.zoom.get=function(){return this._zoom},Mn.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},Mn.center.get=function(){return this._center},Mn.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},Mn.padding.get=function(){return this._edgeInsets.toJSON()},Mn.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},Mn.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},An.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},An.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},An.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},An.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),c=s-1;c<=l+1;c++)0!==c&&r.push(new t.UnwrappedTileID(c,e));return r},An.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&r<e.minzoom)return[];void 0!==e.maxzoom&&r>e.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=wn.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var c=function(t){return{aabb:new Tn([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},u=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)u.push(c(-d)),u.push(c(d));for(u.push(c(0));u.length>0;){var m=u.pop(),g=m.x,v=m.y,y=m.fullyVisible;if(!y){var x=m.aabb.intersects(s);if(0===x)continue;y=2===x}var b=m.aabb.distanceX(o),_=m.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<<h-m.zoom)-2;if(m.zoom===h||w>T&&m.zoom>=l)f.push({tileID:new t.OverscaledTileID(m.zoom===h?p:m.zoom,m.wrap,m.zoom,g,v),distanceSq:t.sqrLen([o[0]-.5-g,o[1]-.5-v])});else for(var k=0;k<4;k++){var A=(g<<1)+k%2,M=(v<<1)+(k>>1);u.push({aabb:m.aabb.quadrant(k),zoom:m.zoom+1,x:A,y:M,wrap:m.wrap,fullyVisible:y})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},An.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},Mn.unmodified.get=function(){return this._unmodified},An.prototype.zoomScale=function(t){return Math.pow(2,t)},An.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},An.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},An.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},Mn.point.get=function(){return this.project(this.center)},An.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(e),o=new t.MercatorCoordinate(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},An.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},An.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},An.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},An.prototype.coordinateLocation=function(t){return t.toLngLat()},An.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,c=n[1]/a,u=r[2]/i,f=n[2]/a,h=u===f?0:(0-u)/(f-u);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,c,h)/this.worldSize)},An.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},An.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},An.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},An.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},An.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];var a=e.canonical,o=this.worldSize/this.zoomScale(a.z),s=a.x+Math.pow(2,a.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,a.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),i[n]=new Float32Array(l),i[n]},An.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},An.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,c=this.size,u=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-a<c.y?c.y/(o-a):0}if(this.lngRange){var h=this.lngRange;s=t.mercatorXfromLng(h[0])*this.worldSize,r=(l=t.mercatorXfromLng(h[1])*this.worldSize)-s<c.x?c.x/(l-s):0}var p=this.point,d=Math.max(r||0,e||0);if(d)return this.center=this.unproject(new t.Point(r?(l+s)/2:p.x,e?(o+a)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=u,void(this._constraining=!1);if(this.latRange){var m=p.y,g=c.y/2;m-g<a&&(i=a+g),m+g>o&&(i=o-g)}if(this.lngRange){var v=p.x,y=c.x/2;v-y<s&&(n=s+y),v+y>l&&(n=l-y)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=u,this._constraining=!1}},An.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,c=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),u=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,u,c),f[8]=2*-r.x/this.width,f[9]=2*r.y/this.height,t.scale(f,f,[1,-1,1]),t.translate(f,f,[0,0,-this.cameraToCenterDistance]),t.rotateX(f,f,this._pitch),t.rotateZ(f,f,this.angle),t.translate(f,f,[-s,-l,0]),this.mercatorMatrix=t.scale([],f,[this.worldSize,this.worldSize,this.worldSize]),t.scale(f,f,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=f,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),m=Math.sin(this.angle),g=s-Math.round(s)+d*h+m*p,v=l-Math.round(l)+d*p+m*h,y=new Float64Array(f);if(t.translate(y,y,[g>.5?g-1:g,v>.5?v-1:v,0]),this.alignedProjMatrix=y,f=t.create(),t.scale(f,f,[this.width/2,-this.height/2,1]),t.translate(f,f,[1,-1,0]),this.labelPlaneMatrix=f,f=t.create(),t.scale(f,f,[1,-1,1]),t.translate(f,f,[-1,-1,0]),t.scale(f,f,[2/this.width,2/this.height,1]),this.glCoordMatrix=f,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(f=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=f,this._posMatrixCache={},this._alignedPosMatrixCache={}}},An.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},An.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},An.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var c=l[s];n=Math.min(n,c.x),i=Math.min(i,c.y),a=Math.max(a,c.x),o=Math.max(o,c.y)}return[new t.Point(n,i),new t.Point(a,i),new t.Point(a,o),new t.Point(n,o),new t.Point(n,i)]},Object.defineProperties(An.prototype,Mn);var Sn=function(e){var r,n,i,a,o;this._hashName=e&&encodeURIComponent(e),t.bindAll([\"_getCurrentHash\",\"_onHashChange\",\"_updateHash\"],this),this._updateHash=(r=this._updateHashUnthrottled.bind(this),n=300,i=!1,a=null,o=function(){a=null,i&&(r(),a=setTimeout(o,n),i=!1)},function(){return i=!0,a||o(),a})};Sn.prototype.addTo=function(e){return this._map=e,t.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},Sn.prototype.remove=function(){return t.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},Sn.prototype.getHashString=function(e){var r=this._map.getCenter(),n=Math.round(100*this._map.getZoom())/100,i=Math.ceil((n*Math.LN2+Math.log(512/360/.5))/Math.LN10),a=Math.pow(10,i),o=Math.round(r.lng*a)/a,s=Math.round(r.lat*a)/a,l=this._map.getBearing(),c=this._map.getPitch(),u=\"\";if(u+=e?\"/\"+o+\"/\"+s+\"/\"+n:n+\"/\"+s+\"/\"+o,(l||c)&&(u+=\"/\"+Math.round(10*l)/10),c&&(u+=\"/\"+Math.round(c)),this._hashName){var f=this._hashName,h=!1,p=t.window.location.hash.slice(1).split(\"&\").map((function(t){var e=t.split(\"=\")[0];return e===f?(h=!0,e+\"=\"+u):t})).filter((function(t){return t}));return h||p.push(f+\"=\"+u),\"#\"+p.join(\"&\")}return\"#\"+u},Sn.prototype._getCurrentHash=function(){var e,r=this,n=t.window.location.hash.replace(\"#\",\"\");return this._hashName?(n.split(\"&\").map((function(t){return t.split(\"=\")})).forEach((function(t){t[0]===r._hashName&&(e=t)})),(e&&e[1]||\"\").split(\"/\")):n.split(\"/\")},Sn.prototype._onHashChange=function(){var t=this._getCurrentHash();if(t.length>=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},Sn.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,\"\",e)}catch(t){}};var En={linearity:.3,easing:t.bezier(0,0,.3,1)},Ln=t.extend({deceleration:2500,maxSpeed:1400},En),Cn=t.extend({deceleration:20,maxSpeed:1400},En),Pn=t.extend({deceleration:1e3,maxSpeed:360},En),In=t.extend({deceleration:1e3,maxSpeed:90},En),On=function(t){this._map=t,this.clear()};function zn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function Dn(e,r,n){var i=n.maxSpeed,a=n.linearity,o=n.deceleration,s=t.clamp(e*a/(r/1e3),-i,i),l=Math.abs(s)/(o*a);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}On.prototype.clear=function(){this._inertiaBuffer=[]},On.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},On.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},On.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n<i.length;n+=1){var a=i[n].settings;r.zoom+=a.zoomDelta||0,r.bearing+=a.bearingDelta||0,r.pitch+=a.pitchDelta||0,a.panDelta&&r.pan._add(a.panDelta),a.around&&(r.around=a.around),a.pinchAround&&(r.pinchAround=a.pinchAround)}var o=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,s={};if(r.pan.mag()){var l=Dn(r.pan.mag(),o,t.extend({},Ln,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,zn(s,l)}if(r.zoom){var c=Dn(r.zoom,o,Cn);s.zoom=this._map.transform.zoom+c.amount,zn(s,c)}if(r.bearing){var u=Dn(r.bearing,o,Pn);s.bearing=this._map.transform.bearing+t.clamp(u.amount,-179,179),zn(s,u)}if(r.pitch){var f=Dn(r.pitch,o,In);s.pitch=this._map.transform.pitch+f.amount,zn(s,f)}if(s.zoom||s.bearing){var h=void 0===r.pinchAround?r.around:r.pinchAround;s.around=h?this._map.unproject(h):this._map.getCenter()}return this.clear(),t.extend(s,{noMoveStart:!0})}};var Rn=function(e){function n(n,i,a,o){void 0===o&&(o={});var s=r.mousePos(i.getCanvasContainer(),a),l=i.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:a},o)),this._defaultPrevented=!1,this.target=i}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Fn=function(e){function n(n,i,a){var o=\"touchend\"===n?a.changedTouches:a.touches,s=r.touchPos(i.getCanvasContainer(),o),l=s.map((function(t){return i.unproject(t)})),c=s.reduce((function(t,e,r,n){return t.add(e.div(n.length))}),new t.Point(0,0)),u=i.unproject(c);e.call(this,n,{points:s,point:c,lngLats:l,lngLat:u,originalEvent:a}),this._defaultPrevented=!1}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Bn=function(t){function e(e,r,n){t.call(this,e,{originalEvent:n}),this._defaultPrevented=!1}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={defaultPrevented:{configurable:!0}};return e.prototype.preventDefault=function(){this._defaultPrevented=!0},r.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(e.prototype,r),e}(t.Event),Nn=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};Nn.prototype.reset=function(){delete this._mousedownPos},Nn.prototype.wheel=function(t){return this._firePreventable(new Bn(t.type,this._map,t))},Nn.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new Rn(t.type,this._map,t))},Nn.prototype.mouseup=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.dblclick=function(t){return this._firePreventable(new Rn(t.type,this._map,t))},Nn.prototype.mouseover=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.mouseout=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.touchstart=function(t){return this._firePreventable(new Fn(t.type,this._map,t))},Nn.prototype.touchmove=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype.touchend=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype.touchcancel=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Nn.prototype.isEnabled=function(){return!0},Nn.prototype.isActive=function(){return!1},Nn.prototype.enable=function(){},Nn.prototype.disable=function(){};var jn=function(t){this._map=t};jn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},jn.prototype.mousemove=function(t){this._map.fire(new Rn(t.type,this._map,t))},jn.prototype.mousedown=function(){this._delayContextMenu=!0},jn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Rn(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},jn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Rn(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()},jn.prototype.isEnabled=function(){return!0},jn.prototype.isActive=function(){return!1},jn.prototype.enable=function(){},jn.prototype.disable=function(){};var Un=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Vn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Un.prototype.isEnabled=function(){return!!this._enabled},Un.prototype.isActive=function(){return!!this._active},Un.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Un.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Un.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Un.prototype.mousemoveWindow=function(t,e){if(this._active){var n=e;if(!(this._lastPos.equals(n)||!this._box&&n.dist(this._startPos)<this._clickTolerance)){var i=this._startPos;this._lastPos=n,this._box||(this._box=r.create(\"div\",\"mapboxgl-boxzoom\",this._container),this._container.classList.add(\"mapboxgl-crosshair\"),this._fireEvent(\"boxzoomstart\",t));var a=Math.min(i.x,n.x),o=Math.max(i.x,n.x),s=Math.min(i.y,n.y),l=Math.max(i.y,n.y);r.setTransform(this._box,\"translate(\"+a+\"px,\"+s+\"px)\"),this._box.style.width=o-a+\"px\",this._box.style.height=l-s+\"px\"}}},Un.prototype.mouseupWindow=function(e,n){var i=this;if(this._active&&0===e.button){var a=this._startPos,o=n;if(this.reset(),r.suppressClick(),a.x!==o.x||a.y!==o.y)return this._map.fire(new t.Event(\"boxzoomend\",{originalEvent:e})),{cameraAnimation:function(t){return t.fitScreenCoordinates(a,o,i._map.getBearing(),{linear:!0})}};this._fireEvent(\"boxzoomcancel\",e)}},Un.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent(\"boxzoomcancel\",t))},Un.prototype.reset=function(){this._active=!1,this._container.classList.remove(\"mapboxgl-crosshair\"),this._box&&(r.remove(this._box),this._box=null),r.enableDrag(),delete this._startPos,delete this._lastPos},Un.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var Hn=function(t){this.reset(),this.numTouches=t.numTouches};Hn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},Hn.prototype.touchstart=function(e,r,n){(this.centroid||n.length>this.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n<i.length;n+=1){var a=i[n];r._add(a)}return r.div(e.length)}(r),this.touches=Vn(n,r)))},Hn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=Vn(r,e);for(var i in this.touches){var a=this.touches[i],o=n[i];(!o||o.dist(a)>30)&&(this.aborted=!0)}}},Hn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var qn=function(t){this.singleTap=new Hn(t),this.numTaps=t.numTaps,this.reset()};qn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},qn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},qn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},qn.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Gn=function(){this._zoomIn=new qn({numTouches:1,numTaps:2}),this._zoomOut=new qn({numTouches:2,numTaps:1}),this.reset()};Gn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Gn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Gn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Gn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Gn.prototype.touchcancel=function(){this.reset()},Gn.prototype.enable=function(){this._enabled=!0},Gn.prototype.disable=function(){this._enabled=!1,this.reset()},Gn.prototype.isEnabled=function(){return this._enabled},Gn.prototype.isActive=function(){return this._active};var Yn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Yn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Yn.prototype._correctButton=function(t,e){return!1},Yn.prototype._move=function(t,e){return{}},Yn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Yn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r&&(t.preventDefault(),this._moved||!(e.dist(r)<this._clickTolerance)))return this._moved=!0,this._lastPoint=e,this._move(r,e)},Yn.prototype.mouseupWindow=function(t){r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},Yn.prototype.enable=function(){this._enabled=!0},Yn.prototype.disable=function(){this._enabled=!1,this.reset()},Yn.prototype.isEnabled=function(){return this._enabled},Yn.prototype.isActive=function(){return this._active};var Wn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.mousedown=function(e,r){t.prototype.mousedown.call(this,e,r),this._lastPoint&&(this._active=!0)},e.prototype._correctButton=function(t,e){return 0===e&&!t.ctrlKey},e.prototype._move=function(t,e){return{around:e,panDelta:e.sub(t)}},e}(Yn),Zn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=.8*(e.x-t.x);if(r)return this._active=!0,{bearingDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Yn),Xn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=-.5*(e.y-t.y);if(r)return this._active=!0,{pitchDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Yn),Jn=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};Jn.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},Jn.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},Jn.prototype.touchmove=function(t,e,r){if(this._active)return t.preventDefault(),this._calculateTransform(t,e,r)},Jn.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},Jn.prototype.touchcancel=function(){this.reset()},Jn.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var i=Vn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var c=i[l],u=this._touches[l];u&&(a._add(c),o._add(c.sub(u)),s++,i[l]=c)}if(this._touches=i,!(s<this._minTouches)&&o.mag()){var f=o.div(s);if(this._sum._add(f),!(this._sum.mag()<this._clickTolerance))return{around:a.div(s),panDelta:f}}},Jn.prototype.enable=function(){this._enabled=!0},Jn.prototype.disable=function(){this._enabled=!1,this.reset()},Jn.prototype.isEnabled=function(){return this._enabled},Jn.prototype.isActive=function(){return this._active};var Kn=function(){this.reset()};function Qn(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}Kn.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},Kn.prototype._start=function(t){},Kn.prototype._move=function(t,e,r){return{}},Kn.prototype.touchstart=function(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]))},Kn.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,i=n[0],a=n[1],o=Qn(r,e,i),s=Qn(r,e,a);if(o&&s){var l=this._aroundCenter?null:o.add(s).div(2);return this._move([o,s],l,t)}}},Kn.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var i=this._firstTwoTouches,a=i[0],o=i[1],s=Qn(n,e,a),l=Qn(n,e,o);s&&l||(this._active&&r.suppressClick(),this.reset())}},Kn.prototype.touchcancel=function(){this.reset()},Kn.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around},Kn.prototype.disable=function(){this._enabled=!1,this.reset()},Kn.prototype.isEnabled=function(){return this._enabled},Kn.prototype.isActive=function(){return this._active};function $n(t,e){return Math.log(t/e)/Math.LN2}var ti=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._distance,delete this._startDistance},e.prototype._start=function(t){this._startDistance=this._distance=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs($n(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:$n(this._distance,r),pinchAround:e}},e}(Kn);function ei(t,e){return 180*t.angleWith(e)/Math.PI}var ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},e.prototype._start=function(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:ei(this._vector,r),pinchAround:e}},e.prototype._isBelowThreshold=function(t){this._minDiameter=Math.min(this._minDiameter,t.mag());var e=25/(Math.PI*this._minDiameter)*360,r=ei(t,this._startVector);return Math.abs(r)<e},e}(Kn);function ni(t){return Math.abs(t.y)>Math.abs(t.x)}var ii=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,ni(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid){this._lastPoints=t,this._active=!0;return{pitchDelta:-.5*((n.y+i.y)/2)}}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return ni(t)&&ni(e)&&a}},e}(Kn),ai={panStep:100,bearingStep:15,pitchStep:10},oi=function(){var t=ai;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep};function si(t){return t*(2-t)}oi.prototype.reset=function(){this._active=!1},oi.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:\"keyboardHandler\",easing:si,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},oi.prototype.enable=function(){this._enabled=!0},oi.prototype.disable=function(){this._enabled=!1,this.reset()},oi.prototype.isEnabled=function(){return this._enabled},oi.prototype.isActive=function(){return this._active};var li=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=1/450,t.bindAll([\"_onWheel\",\"_onTimeout\",\"_onScrollFrame\",\"_onScrollFinished\"],this)};li.prototype.setZoomRate=function(t){this._defaultZoomRate=t},li.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},li.prototype.isEnabled=function(){return!!this._enabled},li.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},li.prototype.isZooming=function(){return!!this._zooming},li.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},li.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},li.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%4.000244140625==0?this._type=\"wheel\":0!==r&&Math.abs(r)<4?this._type=\"trackpad\":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},li.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},li.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},li.prototype.renderFrame=function(){return this._onScrollFrame()},li.prototype._onScrollFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n=\"wheel\"===this._type&&Math.abs(this._delta)>4.000244140625?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a=\"number\"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),\"wheel\"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s=\"number\"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,c=this._easing,u=!1;if(\"wheel\"===this._type&&l&&c){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=c(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):u=!0}else o=s,u=!0;return this._active=!0,u&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!u,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},li.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},li.prototype.reset=function(){this._active=!1};var ci=function(t,e){this._clickZoom=t,this._tapZoom=e};ci.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},ci.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},ci.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},ci.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var ui=function(){this.reset()};ui.prototype.reset=function(){this._active=!1},ui.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},ui.prototype.enable=function(){this._enabled=!0},ui.prototype.disable=function(){this._enabled=!1,this.reset()},ui.prototype.isEnabled=function(){return this._enabled},ui.prototype.isActive=function(){return this._active};var fi=function(){this._tap=new qn({numTouches:1,numTaps:1}),this.reset()};fi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},fi.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},fi.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},fi.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},fi.prototype.touchcancel=function(){this.reset()},fi.prototype.enable=function(){this._enabled=!0},fi.prototype.disable=function(){this._enabled=!1,this.reset()},fi.prototype.isEnabled=function(){return this._enabled},fi.prototype.isActive=function(){return this._active};var hi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};hi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},hi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},hi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},hi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var pi=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};pi.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},pi.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},pi.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},pi.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var di=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};di.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add(\"mapboxgl-touch-zoom-rotate\")},di.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},di.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},di.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},di.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},di.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var mi=function(t){return t.zoom||t.drag||t.pitch||t.rotate},gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function vi(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var yi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new On(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll([\"handleEvent\",\"handleWindowEvent\"],this);var i=this._el;this._listeners=[[i,\"touchstart\",{passive:!1}],[i,\"touchmove\",{passive:!1}],[i,\"touchend\",void 0],[i,\"touchcancel\",void 0],[i,\"mousedown\",void 0],[i,\"mousemove\",void 0],[i,\"mouseup\",void 0],[t.window.document,\"mousemove\",{capture:!0}],[t.window.document,\"mouseup\",void 0],[i,\"mouseover\",void 0],[i,\"mouseout\",void 0],[i,\"dblclick\",void 0],[i,\"click\",void 0],[i,\"keydown\",{capture:!1}],[i,\"keyup\",void 0],[i,\"wheel\",{passive:!1}],[i,\"contextmenu\",void 0],[t.window,\"blur\",void 0]];for(var a=0,o=this._listeners;a<o.length;a+=1){var s=o[a],l=s[0],c=s[1],u=s[2];r.addEventListener(l,c,l===t.window.document?this.handleWindowEvent:this.handleEvent,u)}};yi.prototype.destroy=function(){for(var e=0,n=this._listeners;e<n.length;e+=1){var i=n[e],a=i[0],o=i[1],s=i[2];r.removeEventListener(a,o,a===t.window.document?this.handleWindowEvent:this.handleEvent,s)}},yi.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add(\"mapEvent\",new Nn(e,t));var n=e.boxZoom=new Un(e,t);this._add(\"boxZoom\",n);var i=new Gn,a=new ui;e.doubleClickZoom=new ci(a,i),this._add(\"tapZoom\",i),this._add(\"clickZoom\",a);var o=new fi;this._add(\"tapDragZoom\",o);var s=e.touchPitch=new ii;this._add(\"touchPitch\",s);var l=new Zn(t),c=new Xn(t);e.dragRotate=new pi(t,l,c),this._add(\"mouseRotate\",l,[\"mousePitch\"]),this._add(\"mousePitch\",c,[\"mouseRotate\"]);var u=new Wn(t),f=new Jn(t);e.dragPan=new hi(r,u,f),this._add(\"mousePan\",u),this._add(\"touchPan\",f,[\"touchZoom\",\"touchRotate\"]);var h=new ri,p=new ti;e.touchZoomRotate=new di(r,p,h,o),this._add(\"touchRotate\",h,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",p,[\"touchPan\",\"touchRotate\"]);var d=e.scrollZoom=new li(e,this);this._add(\"scrollZoom\",d,[\"mousePan\"]);var m=e.keyboard=new oi;this._add(\"keyboard\",m),this._add(\"blockableMapEvent\",new jn(e));for(var g=0,v=[\"boxZoom\",\"doubleClickZoom\",\"tapDragZoom\",\"touchPitch\",\"dragRotate\",\"dragPan\",\"touchZoomRotate\",\"scrollZoom\",\"keyboard\"];g<v.length;g+=1){var y=v[g];t.interactive&&t[y]&&e[y].enable(t[y])}},yi.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},yi.prototype.stop=function(){if(!this._updatingCamera){for(var t=0,e=this._handlers;t<e.length;t+=1){e[t].handler.reset()}this._inertia.clear(),this._fireEvents({},{}),this._changes=[]}},yi.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1){if(e[t].handler.isActive())return!0}return!1},yi.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},yi.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},yi.prototype.isMoving=function(){return Boolean(mi(this._eventsInProgress))||this.isZooming()},yi.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},yi.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+\"Window\")},yi.prototype._getMapTouches=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=i.target;this._el.contains(a)&&e.push(i)}return e},yi.prototype.handleEvent=function(t,e){if(\"blur\"!==t.type){this._updatingCamera=!0;for(var n=\"renderFrame\"===t.type?void 0:t,i={needsRenderFrame:!1},a={},o={},s=t.touches?this._getMapTouches(t.touches):void 0,l=s?r.touchPos(this._el,s):r.mousePos(this._el,t),c=0,u=this._handlers;c<u.length;c+=1){var f=u[c],h=f.handlerName,p=f.handler,d=f.allowed;if(p.isEnabled()){var m=void 0;this._blockedByActive(o,d,h)?p.reset():p[e||t.type]&&(m=p[e||t.type](t,l,s),this.mergeHandlerResult(i,a,m,h,n),m&&m.needsRenderFrame&&this._triggerRenderFrame()),(m||p.isActive())&&(o[h]=p)}}var g={};for(var v in this._previousActiveHandlers)o[v]||(g[v]=n);this._previousActiveHandlers=o,(Object.keys(g).length||vi(i))&&(this._changes.push([i,a,g]),this._triggerRenderFrame()),(Object.keys(o).length||vi(i))&&this._map._stop(!0),this._updatingCamera=!1;var y=i.cameraAnimation;y&&(this._inertia.clear(),this._fireEvents({},{}),this._changes=[],y(this._map))}else this.stop()},yi.prototype.mergeHandlerResult=function(e,r,n,i,a){if(n){t.extend(e,n);var o={handlerName:i,originalEvent:n.originalEvent||a};void 0!==n.zoomDelta&&(r.zoom=o),void 0!==n.panDelta&&(r.drag=o),void 0!==n.pitchDelta&&(r.pitch=o),void 0!==n.bearingDelta&&(r.rotate=o)}},yi.prototype._applyChanges=function(){for(var e={},r={},n={},i=0,a=this._changes;i<a.length;i+=1){var o=a[i],s=o[0],l=o[1],c=o[2];s.panDelta&&(e.panDelta=(e.panDelta||new t.Point(0,0))._add(s.panDelta)),s.zoomDelta&&(e.zoomDelta=(e.zoomDelta||0)+s.zoomDelta),s.bearingDelta&&(e.bearingDelta=(e.bearingDelta||0)+s.bearingDelta),s.pitchDelta&&(e.pitchDelta=(e.pitchDelta||0)+s.pitchDelta),void 0!==s.around&&(e.around=s.around),void 0!==s.pinchAround&&(e.pinchAround=s.pinchAround),s.noInertia&&(e.noInertia=s.noInertia),t.extend(r,l),t.extend(n,c)}this._updateMapTransform(e,r,n),this._changes=[]},yi.prototype._updateMapTransform=function(t,e,r){var n=this._map,i=n.transform;if(!vi(t))return this._fireEvents(e,r);var a=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,c=t.around,u=t.pinchAround;void 0!==u&&(c=u),n._stop(!0),c=c||n.transform.centerPoint;var f=i.pointLocation(a?c.sub(a):c);s&&(i.bearing+=s),l&&(i.pitch+=l),o&&(i.zoom+=o),i.setLocationAtPoint(f,c),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r)},yi.prototype._fireEvents=function(e,r){var n=this,i=mi(this._eventsInProgress),a=mi(e),o={};for(var s in e){var l=e[s].originalEvent;this._eventsInProgress[s]||(o[s+\"start\"]=l),this._eventsInProgress[s]=e[s]}for(var c in!i&&a&&this._fireEvent(\"movestart\",a.originalEvent),o)this._fireEvent(c,o[c]);for(var u in e.rotate&&(this._bearingChanged=!0),a&&this._fireEvent(\"move\",a.originalEvent),e){var f=e[u].originalEvent;this._fireEvent(u,f)}var h,p={};for(var d in this._eventsInProgress){var m=this._eventsInProgress[d],g=m.handlerName,v=m.originalEvent;this._handlersById[g].isActive()||(delete this._eventsInProgress[d],h=r[g]||v,p[d+\"end\"]=h)}for(var y in p)this._fireEvent(y,p[y]);var x=mi(this._eventsInProgress);if((i||a)&&!x){this._updatingCamera=!0;var b=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),_=function(t){return 0!==t&&-n._bearingSnap<t&&t<n._bearingSnap};b?(_(b.bearing||this._map.getBearing())&&(b.bearing=0),this._map.easeTo(b,{originalEvent:h})):(this._map.fire(new t.Event(\"moveend\",{originalEvent:h})),_(this._map.getBearing())&&this._map.resetNorth()),this._bearingChanged=!1,this._updatingCamera=!1}},yi.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},yi.prototype._triggerRenderFrame=function(){var t=this;void 0===this._frameId&&(this._frameId=this._map._requestRenderFrame((function(e){delete t._frameId,t.handleEvent(new gi(\"renderFrame\",{timeStamp:e})),t._applyChanges()})))};var xi=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll([\"_renderFrameCallback\"],this)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.getPadding=function(){return this.transform.padding},r.prototype.setPadding=function(t,e){return this.jumpTo({padding:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){return e=t.LngLatBounds.convert(e),this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),0,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,i){var a={top:0,bottom:0,right:0,left:0};if(\"number\"==typeof(i=t.extend({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){var o=i.padding;i.padding={top:o,bottom:o,right:o,left:o}}i.padding=t.extend(a,i.padding);var s=this.transform,l=s.padding,c=s.project(t.LngLat.convert(e)),u=s.project(t.LngLat.convert(r)),f=c.rotate(-n*Math.PI/180),h=u.rotate(-n*Math.PI/180),p=new t.Point(Math.max(f.x,h.x),Math.max(f.y,h.y)),d=new t.Point(Math.min(f.x,h.x),Math.min(f.y,h.y)),m=p.sub(d),g=(s.width-(l.left+l.right+i.padding.left+i.padding.right))/m.x,v=(s.height-(l.top+l.bottom+i.padding.top+i.padding.bottom))/m.y;if(!(v<0||g<0)){var y=Math.min(s.scaleZoom(s.scale*Math.min(g,v)),i.maxZoom),x=t.Point.convert(i.offset),b=(i.padding.left-i.padding.right)/2,_=(i.padding.top-i.padding.bottom)/2,w=new t.Point(x.x+b,x.y+_).mult(s.scale/s.zoomScale(y));return{center:s.unproject(c.add(u).div(2).sub(w)),zoom:y,bearing:n}}t.warnOnce(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,i,a){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,i),i,a)},r.prototype._fitInternal=function(e,r,n){return e?(delete(r=t.extend(e,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,i=!1,a=!1,o=!1;return\"zoom\"in e&&n.zoom!==+e.zoom&&(i=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),\"bearing\"in e&&n.bearing!==+e.bearing&&(a=!0,n.bearing=+e.bearing),\"pitch\"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),null==e.padding||n.isPaddingEqual(e.padding)||(n.padding=e.padding),this.fire(new t.Event(\"movestart\",r)).fire(new t.Event(\"move\",r)),i&&this.fire(new t.Event(\"zoomstart\",r)).fire(new t.Event(\"zoom\",r)).fire(new t.Event(\"zoomend\",r)),a&&this.fire(new t.Event(\"rotatestart\",r)).fire(new t.Event(\"rotate\",r)).fire(new t.Event(\"rotateend\",r)),o&&this.fire(new t.Event(\"pitchstart\",r)).fire(new t.Event(\"pitch\",r)).fire(new t.Event(\"pitchend\",r)),this.fire(new t.Event(\"moveend\",r))},r.prototype.easeTo=function(e,r){var n=this;this._stop(!1,e.easeId),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||!e.essential&&t.browser.prefersReducedMotion)&&(e.duration=0);var i=this.transform,a=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=this.getPadding(),c=\"zoom\"in e?+e.zoom:a,u=\"bearing\"in e?this._normalizeBearing(e.bearing,o):o,f=\"pitch\"in e?+e.pitch:s,h=\"padding\"in e?e.padding:i.padding,p=t.Point.convert(e.offset),d=i.centerPoint.add(p),m=i.pointLocation(d),g=t.LngLat.convert(e.center||m);this._normalizeCenter(g);var v,y,x=i.project(m),b=i.project(g).sub(x),_=i.zoomScale(c-a);e.around&&(v=t.LngLat.convert(e.around),y=i.locationPoint(v));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||c!==a,this._rotating=this._rotating||o!==u,this._pitching=this._pitching||f!==s,this._padding=!i.isPaddingEqual(h),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),clearTimeout(this._easeEndTimeoutID),this._ease((function(e){if(n._zooming&&(i.zoom=t.number(a,c,e)),n._rotating&&(i.bearing=t.number(o,u,e)),n._pitching&&(i.pitch=t.number(s,f,e)),n._padding&&(i.interpolatePadding(l,h,e),d=i.centerPoint.add(p)),v)i.setLocationAtPoint(v,y);else{var m=i.zoomScale(i.zoom-a),g=c>a?Math.min(2,_):Math.max(.5,_),w=Math.pow(g,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(m));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event(\"movestart\",e)),this._zooming&&!n.zooming&&this.fire(new t.Event(\"zoomstart\",e)),this._rotating&&!n.rotating&&this.fire(new t.Event(\"rotatestart\",e)),this._pitching&&!n.pitching&&this.fire(new t.Event(\"pitchstart\",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event(\"move\",e)),this._zooming&&this.fire(new t.Event(\"zoom\",e)),this._rotating&&this.fire(new t.Event(\"rotate\",e)),this._pitching&&this.fire(new t.Event(\"pitch\",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event(\"zoomend\",e)),i&&this.fire(new t.Event(\"rotateend\",e)),a&&this.fire(new t.Event(\"pitchend\",e)),this.fire(new t.Event(\"moveend\",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),c=this.getPadding(),u=\"zoom\"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f=\"bearing\"in e?this._normalizeBearing(e.bearing,s):s,h=\"pitch\"in e?+e.pitch:l,p=\"padding\"in e?e.padding:a.padding,d=a.zoomScale(u-o),m=t.Point.convert(e.offset),g=a.centerPoint.add(m),v=a.pointLocation(g),y=t.LngLat.convert(e.center||v);this._normalizeCenter(y);var x=a.project(v),b=a.project(y).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if(\"minZoom\"in e){var A=t.clamp(Math.min(e.minZoom,o,u),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);_=Math.sqrt(M/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function L(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),I=function(t){return C(P)/C(P+_*t)},O=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/k;var e},z=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(z)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var D=T<w?-1:1;z=Math.abs(Math.log(T/w))/_,O=function(){return 0},I=function(t){return Math.exp(D*_*t)}}if(\"duration\"in e)e.duration=+e.duration;else{var R=\"screenSpeed\"in e?+e.screenSpeed/_:+e.speed;e.duration=1e3*z/R}return e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*z,d=1/I(i);a.zoom=1===e?u:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(c,p,e),g=a.centerPoint.add(m));var v=1===e?y:a.unproject(x.add(b.mult(O(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?v.wrap():v,g),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop()}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)<n&&(e-=360),Math.abs(e+360-r)<n&&(e+=360),e},r.prototype._normalizeCenter=function(t){var e=this.transform;if(e.renderWorldCopies&&!e.lngRange){var r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}},r}(t.Evented),bi=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};bi.prototype.getDefaultPosition=function(){return\"bottom-right\"},bi.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-attrib\"),this._innerContainer=r.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),e&&this._container.classList.add(\"mapboxgl-compact\"),this._updateAttributions(),this._updateEditLink(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"moveend\",this._updateEditLink),void 0===e&&(this._map.on(\"resize\",this._updateCompact),this._updateCompact()),this._container},bi.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"moveend\",this._updateEditLink),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._attribHTML=void 0},bi.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(\".mapbox-improve-map\"));var r=[{key:\"owner\",value:this.styleOwner},{key:\"id\",value:this.styleId},{key:\"access_token\",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+\"=\"+e.value+(n<r.length-1?\"&\":\"\")),t}),\"?\");e.href=t.config.FEEDBACK_URL+\"/\"+n+(this._map._hash?this._map._hash.getHashString(!0):\"\"),e.rel=\"noopener nofollow\"}},bi.prototype._updateData=function(t){!t||\"metadata\"!==t.sourceDataType&&\"style\"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},bi.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map((function(t){return\"string\"!=typeof t?\"\":t}))):\"string\"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){var e=this._map.style.stylesheet;this.styleOwner=e.owner,this.styleId=e.id}var r=this._map.style.sourceCaches;for(var n in r){var i=r[n];if(i.used){var a=i.getSource();a.attribution&&t.indexOf(a.attribution)<0&&t.push(a.attribution)}}t.sort((function(t,e){return t.length-e.length}));var o=(t=t.filter((function(e,r){for(var n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0}))).join(\" | \");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null)}},bi.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\")};var _i=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};_i.prototype.onAdd=function(t){this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl\");var e=r.create(\"a\",\"mapboxgl-ctrl-logo\");return e.target=\"_blank\",e.rel=\"noopener nofollow\",e.href=\"https://www.mapbox.com/\",e.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),e.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(e),this._container.style.display=\"none\",this._map.on(\"sourcedata\",this._updateLogo),this._updateLogo(),this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container},_i.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},_i.prototype.getDefaultPosition=function(){return\"bottom-left\"},_i.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},_i.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t){if(t[e].getSource().mapbox_logo)return!0}return!1}},_i.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add(\"mapboxgl-compact\"):e.classList.remove(\"mapboxgl-compact\")}};var wi=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};wi.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},wi.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;r<n.length;r+=1){var i=n[r];if(i.id===t)return void(i.cancelled=!0)}},wi.prototype.run=function(t){void 0===t&&(t=0);var e=this._currentlyRunning=this._queue;this._queue=[];for(var r=0,n=e;r<n.length;r+=1){var i=n[r];if(!i.cancelled&&(i.callback(t),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},wi.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Ti={\"FullscreenControl.Enter\":\"Enter fullscreen\",\"FullscreenControl.Exit\":\"Exit fullscreen\",\"GeolocateControl.FindMyLocation\":\"Find my location\",\"GeolocateControl.LocationNotAvailable\":\"Location not available\",\"LogoControl.Title\":\"Mapbox logo\",\"NavigationControl.ResetBearing\":\"Reset bearing to north\",\"NavigationControl.ZoomIn\":\"Zoom in\",\"NavigationControl.ZoomOut\":\"Zoom out\",\"ScaleControl.Feet\":\"ft\",\"ScaleControl.Meters\":\"m\",\"ScaleControl.Kilometers\":\"km\",\"ScaleControl.Miles\":\"mi\",\"ScaleControl.NauticalMiles\":\"nm\"},ki=t.window.HTMLImageElement,Ai=t.window.HTMLElement,Mi=t.window.ImageBitmap,Si={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:60,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,bearingSnap:7,clickTolerance:3,pitchWithRotate:!0,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:\"sans-serif\",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},Ei=function(n){function i(e){var r=this;if(null!=(e=t.extend({},Si,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(null!=e.minPitch&&e.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(null!=e.maxPitch&&e.maxPitch>60)throw new Error(\"maxPitch must be less than or equal to 60\");var i=new An(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new wi,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Ti,e.locale),this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),\"string\"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error(\"Container '\"+e.container+\"' not found.\")}else{if(!(e.container instanceof Ai))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll([\"_onWindowOnline\",\"_onWindowResize\",\"_contextLost\",\"_contextRestored\"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error(\"Failed to initialize WebGL.\");this.on(\"move\",(function(){return r._update(!1)})),this.on(\"moveend\",(function(){return r._update(!1)})),this.on(\"zoom\",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener(\"online\",this._onWindowOnline,!1),t.window.addEventListener(\"resize\",this._onWindowResize,!1)),this.handlers=new yi(this,e);var a=\"string\"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new Sn(a).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new bi({customAttribution:e.customAttribution})),this.addControl(new _i,e.logoPosition),this.on(\"style.load\",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on(\"data\",(function(e){r._update(\"style\"===e.dataType),r.fire(new t.Event(e.dataType+\"data\",e))})),this.on(\"dataloading\",(function(e){r.fire(new t.Event(e.dataType+\"dataloading\",e))}))}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&e.getDefaultPosition&&(r=e.getDefaultPosition()),void 0===r&&(r=\"top-right\"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf(\"bottom\")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event(\"movestart\",e)).fire(new t.Event(\"move\",e))),this.fire(new t.Event(\"resize\",e)),a&&this.fire(new t.Event(\"moveend\",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error(\"minZoom must be between -2 and the current maxZoom, inclusive\")},i.prototype.getMinZoom=function(){return this.transform.minZoom},i.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error(\"minPitch must be between 0 and the current maxPitch, inclusive\")},i.prototype.getMinPitch=function(){return this.transform.minPitch},i.prototype.setMaxPitch=function(t){if((t=null==t?60:t)>60)throw new Error(\"maxPitch must be less than or equal to 60\");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error(\"maxPitch must be greater than the current minPitch\")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if(\"mouseenter\"===t||\"mouseover\"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new Rn(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if(\"mouseleave\"===t||\"mouseout\"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new Rn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Rn(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o<a.length;o++){var s=a[o];if(s.layer===e&&s.listener===r){for(var l in s.delegates)i.off(l,s.delegates[l]);return a.splice(o,1),i}}}(this._delegatedListeners),this},i.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return[];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||\"number\"==typeof e[0])n=[t.Point.convert(e)];else{var i=t.Point.convert(e[0]),a=t.Point.convert(e[1]);n=[i,new t.Point(a.x,i.y),a,new t.Point(i.x,a.y),i]}return this.style.queryRenderedFeatures(n,r,this.transform)},i.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},i.prototype.setStyle=function(e,r){return!1!==(r=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},i.prototype._getUIString=function(t){var e=this._locale[t];if(null==e)throw new Error(\"Missing UI string '\"+t+\"'\");return e},i.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new qe(this,e||{}),this.style.setEventedParent(this,{style:this.style}),\"string\"==typeof t?this.style.loadURL(t):this.style.loadJSON(t),this):(delete this.style,this)},i.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new qe(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},i.prototype._diffStyle=function(e,r){var n=this;if(\"string\"==typeof e){var i=this._requestManager.normalizeStyleURL(e),a=this._requestManager.transformRequest(i,t.ResourceType.Style);t.getJSON(a,(function(e,i){e?n.fire(new t.ErrorEvent(e)):i&&n._updateDiff(i,r)}))}else\"object\"==typeof e&&this._updateDiff(e,r)},i.prototype._updateDiff=function(e,r){try{this.style.setState(e)&&this._update(!0)}catch(n){t.warnOnce(\"Unable to perform style diff: \"+(n.message||n.error||n)+\".  Rebuilding the style from scratch.\"),this._updateStyle(e,r)}},i.prototype.getStyle=function(){if(this.style)return this.style.serialize()},i.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce(\"There is no style added to the map.\")},i.prototype.addSource=function(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)},i.prototype.isSourceLoaded=function(e){var r=this.style&&this.style.sourceCaches[e];if(void 0!==r)return r.loaded();this.fire(new t.ErrorEvent(new Error(\"There is no source with ID '\"+e+\"'\")))},i.prototype.areTilesLoaded=function(){var t=this.style&&this.style.sourceCaches;for(var e in t){var r=t[e]._tiles;for(var n in r){var i=r[n];if(\"loaded\"!==i.state&&\"errored\"!==i.state)return!1}}return!0},i.prototype.addSourceType=function(t,e,r){return this._lazyInitEmptyStyle(),this.style.addSourceType(t,e,r)},i.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},i.prototype.getSource=function(t){return this.style.getSource(t)},i.prototype.addImage=function(e,r,n){void 0===n&&(n={});var i=n.pixelRatio;void 0===i&&(i=1);var a=n.sdf;void 0===a&&(a=!1);var o=n.stretchX,s=n.stretchY,l=n.content;this._lazyInitEmptyStyle();if(r instanceof ki||Mi&&r instanceof Mi){var c=t.browser.getImageData(r),u=c.width,f=c.height,h=c.data;this.style.addImage(e,{data:new t.RGBAImage({width:u,height:f},h),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0})}else{if(void 0===r.width||void 0===r.height)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));var p=r.width,d=r.height,m=r.data,g=r;this.style.addImage(e,{data:new t.RGBAImage({width:p,height:d},new Uint8Array(m)),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0,userImage:g}),g.onAdd&&g.onAdd(this,e)}},i.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));var i=r instanceof ki||Mi&&r instanceof Mi?t.browser.getImageData(r):r,a=i.width,o=i.height,s=i.data;if(void 0===a||void 0===o)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));if(a!==n.data.width||o!==n.data.height)return this.fire(new t.ErrorEvent(new Error(\"The width and height of the updated image must be that same as the previous version of the image\")));var l=!(r instanceof ki||Mi&&r instanceof Mi);n.data.replace(s,l),this.style.updateImage(e,n)},i.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error(\"Missing required image id\"))),!1)},i.prototype.removeImage=function(t){this.style.removeImage(t)},i.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},i.prototype.listImages=function(){return this.style.listImages()},i.prototype.addLayer=function(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)},i.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},i.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},i.prototype.getLayer=function(t){return this.style.getLayer(t)},i.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},i.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},i.prototype.getFilter=function(t){return this.style.getFilter(t)},i.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},i.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},i.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},i.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},i.prototype.setLight=function(t,e){return void 0===e&&(e={}),this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)},i.prototype.getLight=function(){return this.style.getLight()},i.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},i.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},i.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},i.prototype.getContainer=function(){return this._container},i.prototype.getCanvasContainer=function(){return this._canvasContainer},i.prototype.getCanvas=function(){return this._canvas},i.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},i.prototype._detectMissingCSS=function(){\"rgb(250, 128, 114)\"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue(\"background-color\")&&t.warnOnce(\"This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.\")},i.prototype._setupContainer=function(){var t=this._container;t.classList.add(\"mapboxgl-map\"),(this._missingCSSCanary=r.create(\"div\",\"mapboxgl-canary\",t)).style.visibility=\"hidden\",this._detectMissingCSS();var e=this._canvasContainer=r.create(\"div\",\"mapboxgl-canvas-container\",t);this._interactive&&e.classList.add(\"mapboxgl-interactive\"),this._canvas=r.create(\"canvas\",\"mapboxgl-canvas\",e),this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",\"0\"),this._canvas.setAttribute(\"aria-label\",\"Map\");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var i=this._controlContainer=r.create(\"div\",\"mapboxgl-control-container\",t),a=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach((function(t){a[t]=r.create(\"div\",\"mapboxgl-ctrl-\"+t,i)}))},i.prototype._resizeCanvas=function(e,r){var n=t.browser.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+\"px\",this._canvas.style.height=r+\"px\"},i.prototype._setupPainter=function(){var r=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),n=this._canvas.getContext(\"webgl\",r)||this._canvas.getContext(\"experimental-webgl\",r);n?(this.painter=new _n(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error(\"Failed to initialize WebGL\")))},i.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event(\"webglcontextlost\",{originalEvent:e}))},i.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event(\"webglcontextrestored\",{originalEvent:e}))},i.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},i.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},i.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},i.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},i.prototype._render=function(e){var r,n=this,i=0,a=this.painter.context.extTimerQuery;if(this.listens(\"gpu-timing-frame\")&&(r=a.createQueryEXT(),a.beginQueryEXT(a.TIME_ELAPSED_EXT,r),i=t.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(e),!this._removed){var o=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var s=this.transform.zoom,l=t.browser.now();this.style.zoomHistory.update(s,l);var c=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),u=c.crossFadingFactor();1===u&&u===this._crossFadingFactor||(o=!0,this._crossFadingFactor=u),this.style.update(c)}if(this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration,showPadding:this.showPadding,gpuTiming:!!this.listens(\"gpu-timing-layer\")}),this.fire(new t.Event(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event(\"load\"))),this.style&&(this.style.hasTransitions()||o)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens(\"gpu-timing-frame\")){var f=t.browser.now()-i;a.endQueryEXT(a.TIME_ELAPSED_EXT,r),setTimeout((function(){var e=a.getQueryObjectEXT(r,a.QUERY_RESULT_EXT)/1e6;a.deleteQueryEXT(r),n.fire(new t.Event(\"gpu-timing-frame\",{cpuTime:f,gpuTime:e}))}),50)}if(this.listens(\"gpu-timing-layer\")){var h=this.painter.collectGpuTimers();setTimeout((function(){var e=n.painter.queryGpuTimers(h);n.fire(new t.Event(\"gpu-timing-layer\",{layerTimes:e}))}),50)}return this._sourcesDirty||this._styleDirty||this._placementDirty||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&(this._fullyLoaded||(this._fullyLoaded=!0),this.fire(new t.Event(\"idle\"))),this}},i.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1){r[e].onRemove(this)}this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener(\"resize\",this._onWindowResize,!1),t.window.removeEventListener(\"online\",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");n&&n.loseContext(),Li(this._canvasContainer),Li(this._controlContainer),Li(this._missingCSSCanary),this._container.classList.remove(\"mapboxgl-map\"),this._removed=!0,this.fire(new t.Event(\"remove\"))},i.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame((function(t){e._frame=null,e._render(t)})))},i.prototype._onWindowOnline=function(){this._update()},i.prototype._onWindowResize=function(t){this._trackResize&&this.resize({originalEvent:t})._update()},a.showTileBoundaries.get=function(){return!!this._showTileBoundaries},a.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},a.showPadding.get=function(){return!!this._showPadding},a.showPadding.set=function(t){this._showPadding!==t&&(this._showPadding=t,this._update())},a.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},a.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},a.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},a.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},a.repaint.get=function(){return!!this._repaint},a.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},a.vertices.get=function(){return!!this._vertices},a.vertices.set=function(t){this._vertices=t,this._update()},i.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},a.version.get=function(){return t.version},Object.defineProperties(i.prototype,a),i}(xi);function Li(t){t.parentNode&&t.parentNode.removeChild(t)}var Ci={showCompass:!0,showZoom:!0,visualizePitch:!1},Pi=function(e){var n=this;this.options=t.extend({},Ci,e),this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this.options.showZoom&&(t.bindAll([\"_setButtonTitle\",\"_updateZoomButtons\"],this),this._zoomInButton=this._createButton(\"mapboxgl-ctrl-zoom-in\",(function(t){return n._map.zoomIn({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomInButton).setAttribute(\"aria-hidden\",!0),this._zoomOutButton=this._createButton(\"mapboxgl-ctrl-zoom-out\",(function(t){return n._map.zoomOut({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomOutButton).setAttribute(\"aria-hidden\",!0)),this.options.showCompass&&(t.bindAll([\"_rotateCompassArrow\"],this),this._compass=this._createButton(\"mapboxgl-ctrl-compass\",(function(t){n.options.visualizePitch?n._map.resetNorthPitch({},{originalEvent:t}):n._map.resetNorth({},{originalEvent:t})})),this._compassIcon=r.create(\"span\",\"mapboxgl-ctrl-icon\",this._compass),this._compassIcon.setAttribute(\"aria-hidden\",!0))};Pi.prototype._updateZoomButtons=function(){var t=this._map.getZoom();this._zoomInButton.disabled=t===this._map.getMaxZoom(),this._zoomOutButton.disabled=t===this._map.getMinZoom()},Pi.prototype._rotateCompassArrow=function(){var t=this.options.visualizePitch?\"scale(\"+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+\") rotateX(\"+this._map.transform.pitch+\"deg) rotateZ(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\":\"rotate(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\";this._compassIcon.style.transform=t},Pi.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,\"ZoomIn\"),this._setButtonTitle(this._zoomOutButton,\"ZoomOut\"),this._map.on(\"zoom\",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,\"ResetBearing\"),this.options.visualizePitch&&this._map.on(\"pitch\",this._rotateCompassArrow),this._map.on(\"rotate\",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Ii(this._map,this._compass,this.options.visualizePitch)),this._container},Pi.prototype.onRemove=function(){r.remove(this._container),this.options.showZoom&&this._map.off(\"zoom\",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off(\"pitch\",this._rotateCompassArrow),this._map.off(\"rotate\",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map},Pi.prototype._createButton=function(t,e){var n=r.create(\"button\",t,this._container);return n.type=\"button\",n.addEventListener(\"click\",e),n},Pi.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString(\"NavigationControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)};var Ii=function(e,n,i){void 0===i&&(i=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new Zn({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,i&&(this.mousePitch=new Xn({clickTolerance:e.dragRotate._mousePitch._clickTolerance})),t.bindAll([\"mousedown\",\"mousemove\",\"mouseup\",\"touchstart\",\"touchmove\",\"touchend\",\"reset\"],this),r.addEventListener(n,\"mousedown\",this.mousedown),r.addEventListener(n,\"touchstart\",this.touchstart,{passive:!1}),r.addEventListener(n,\"touchmove\",this.touchmove),r.addEventListener(n,\"touchend\",this.touchend),r.addEventListener(n,\"touchcancel\",this.reset)};function Oi(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var i=new t.LngLat(e.lng-360,e.lat),a=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(i).distSqr(r)<o?e=i:n.locationPoint(a).distSqr(r)<o&&(e=a)}for(;Math.abs(e.lng-n.center.lng)>180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ii.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ii.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ii.prototype.off=function(){var t=this.element;r.removeEventListener(t,\"mousedown\",this.mousedown),r.removeEventListener(t,\"touchstart\",this.touchstart,{passive:!1}),r.removeEventListener(t,\"touchmove\",this.touchmove),r.removeEventListener(t,\"touchend\",this.touchend),r.removeEventListener(t,\"touchcancel\",this.reset),this.offTemp()},Ii.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\"mousemove\",this.mousemove),r.removeEventListener(t.window,\"mouseup\",this.mouseup)},Ii.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,\"mousemove\",this.mousemove),r.addEventListener(t.window,\"mouseup\",this.mouseup)},Ii.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ii.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ii.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:\"mousedown\",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ii.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ii.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ii.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var zi={center:\"translate(-50%,-50%)\",top:\"translate(-50%,0)\",\"top-left\":\"translate(0,0)\",\"top-right\":\"translate(-100%,0)\",bottom:\"translate(-50%,-100%)\",\"bottom-left\":\"translate(0,-100%)\",\"bottom-right\":\"translate(-100%,-100%)\",left:\"translate(0,-50%)\",right:\"translate(-100%,-50%)\"};function Di(t,e,r){var n=t.classList;for(var i in zi)n.remove(\"mapboxgl-\"+r+\"-anchor-\"+i);n.add(\"mapboxgl-\"+r+\"-anchor-\"+e)}var Ri,Fi=function(e){function n(n,i){var a=this;if(e.call(this),(n instanceof t.window.HTMLElement||i)&&(n=t.extend({element:n},i)),t.bindAll([\"_update\",\"_onMove\",\"_onUp\",\"_addDragHandler\",\"_onMapClick\",\"_onKeyPress\"],this),this._anchor=n&&n.anchor||\"center\",this._color=n&&n.color||\"#3FB1CE\",this._draggable=n&&n.draggable||!1,this._state=\"inactive\",this._rotation=n&&n.rotation||0,this._rotationAlignment=n&&n.rotationAlignment||\"auto\",this._pitchAlignment=n&&n.pitchAlignment&&\"auto\"!==n.pitchAlignment?n.pitchAlignment:this._rotationAlignment,n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else{this._defaultMarker=!0,this._element=r.create(\"div\"),this._element.setAttribute(\"aria-label\",\"Map marker\");var o=r.createNS(\"http://www.w3.org/2000/svg\",\"svg\");o.setAttributeNS(null,\"display\",\"block\"),o.setAttributeNS(null,\"height\",\"41px\"),o.setAttributeNS(null,\"width\",\"27px\"),o.setAttributeNS(null,\"viewBox\",\"0 0 27 41\");var s=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");s.setAttributeNS(null,\"stroke\",\"none\"),s.setAttributeNS(null,\"stroke-width\",\"1\"),s.setAttributeNS(null,\"fill\",\"none\"),s.setAttributeNS(null,\"fill-rule\",\"evenodd\");var l=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");l.setAttributeNS(null,\"fill-rule\",\"nonzero\");var c=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");c.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),c.setAttributeNS(null,\"fill\",\"#000000\");for(var u=0,f=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}];u<f.length;u+=1){var h=f[u],p=r.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");p.setAttributeNS(null,\"opacity\",\"0.04\"),p.setAttributeNS(null,\"cx\",\"10.5\"),p.setAttributeNS(null,\"cy\",\"5.80029008\"),p.setAttributeNS(null,\"rx\",h.rx),p.setAttributeNS(null,\"ry\",h.ry),c.appendChild(p)}var d=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");d.setAttributeNS(null,\"fill\",this._color);var m=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");m.setAttributeNS(null,\"d\",\"M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z\"),d.appendChild(m);var g=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");g.setAttributeNS(null,\"opacity\",\"0.25\"),g.setAttributeNS(null,\"fill\",\"#000000\");var v=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");v.setAttributeNS(null,\"d\",\"M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z\"),g.appendChild(v);var y=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");y.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),y.setAttributeNS(null,\"fill\",\"#FFFFFF\");var x=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");x.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");var b=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");b.setAttributeNS(null,\"fill\",\"#000000\"),b.setAttributeNS(null,\"opacity\",\"0.25\"),b.setAttributeNS(null,\"cx\",\"5.5\"),b.setAttributeNS(null,\"cy\",\"5.5\"),b.setAttributeNS(null,\"r\",\"5.4999962\");var _=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");_.setAttributeNS(null,\"fill\",\"#FFFFFF\"),_.setAttributeNS(null,\"cx\",\"5.5\"),_.setAttributeNS(null,\"cy\",\"5.5\"),_.setAttributeNS(null,\"r\",\"5.4999962\"),x.appendChild(b),x.appendChild(_),l.appendChild(c),l.appendChild(d),l.appendChild(g),l.appendChild(y),l.appendChild(x),o.appendChild(l),this._element.appendChild(o),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add(\"mapboxgl-marker\"),this._element.addEventListener(\"dragstart\",(function(t){t.preventDefault()})),this._element.addEventListener(\"mousedown\",(function(t){t.preventDefault()})),this._element.addEventListener(\"focus\",(function(){var t=a._map.getContainer();t.scrollTop=0,t.scrollLeft=0})),Di(this._element,this._anchor,\"marker\"),this._popup=null}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on(\"move\",this._update),t.on(\"moveend\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler),this._map.off(\"mouseup\",this._onUp),this._map.off(\"touchend\",this._onUp),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),t){if(!(\"offset\"in t.options)){var e=Math.sqrt(Math.pow(13.5,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-38.1],\"bottom-left\":[e,-1*(24.6+e)],\"bottom-right\":[-e,-1*(24.6+e)],left:[13.5,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress)}return this},n.prototype._onKeyPress=function(t){var e=t.code,r=t.charCode||t.keyCode;\"Space\"!==e&&\"Enter\"!==e&&32!==r&&13!==r||this.togglePopup()},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=Oi(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var e=\"\";\"viewport\"===this._rotationAlignment||\"auto\"===this._rotationAlignment?e=\"rotateZ(\"+this._rotation+\"deg)\":\"map\"===this._rotationAlignment&&(e=\"rotateZ(\"+(this._rotation-this._map.getBearing())+\"deg)\");var n=\"\";\"viewport\"===this._pitchAlignment||\"auto\"===this._pitchAlignment?n=\"rotateX(0deg)\":\"map\"===this._pitchAlignment&&(n=\"rotateX(\"+this._map.getPitch()+\"deg)\"),t&&\"moveend\"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,zi[this._anchor]+\" translate(\"+this._pos.x+\"px, \"+this._pos.y+\"px) \"+n+\" \"+e)}},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\"none\",\"pending\"===this._state&&(this._state=\"active\",this.fire(new t.Event(\"dragstart\"))),this.fire(new t.Event(\"drag\"))},n.prototype._onUp=function(){this._element.style.pointerEvents=\"auto\",this._positionDelta=null,this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),\"active\"===this._state&&this.fire(new t.Event(\"dragend\")),this._state=\"inactive\"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._state=\"pending\",this._map.on(\"mousemove\",this._onMove),this._map.on(\"touchmove\",this._onMove),this._map.once(\"mouseup\",this._onUp),this._map.once(\"touchend\",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on(\"mousedown\",this._addDragHandler),this._map.on(\"touchstart\",this._addDragHandler)):(this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||\"auto\",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&\"auto\"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Bi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Ni=0,ji=!1,Ui=function(e){function n(r){e.call(this),this.options=t.extend({},Bi,r),t.bindAll([\"_onSuccess\",\"_onError\",\"_onZoom\",\"_finish\",\"_setupUI\",\"_updateCamera\",\"_updateMarker\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.onAdd=function(e){var n;return this._map=e,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),n=this._setupUI,void 0!==Ri?n(Ri):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:\"geolocation\"}).then((function(t){Ri=\"denied\"!==t.state,n(Ri)})):(Ri=!!t.window.navigator.geolocation,n(Ri)),this._container},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,Ni=0,ji=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitude<e.getWest()||r.longitude>e.getEast()||r.latitude<e.getSouth()||r.latitude>e.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event(\"outofmaxbounds\",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\")}this.options.showUserLocation&&\"OFF\"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&\"ACTIVE_LOCK\"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"geolocate\",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+\"px\",this._circleElement.style.height=i+\"px\"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;var r=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=r,this._geolocateButton.setAttribute(\"aria-label\",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&ji)return;this._setErrorState()}\"OFF\"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"error\",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this._geolocateButton=r.create(\"button\",\"mapboxgl-ctrl-geolocate\",this._container),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",!0),this._geolocateButton.type=\"button\",!1===e){t.warnOnce(\"Geolocation support is not available so the GeolocateControl will be disabled.\");var i=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute(\"aria-label\",i)}else{var a=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.title=a,this._geolocateButton.setAttribute(\"aria-label\",a)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=r.create(\"div\",\"mapboxgl-user-location-dot\"),this._userLocationDotMarker=new Fi(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Fi({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",(function(e){var r=e.originalEvent&&\"resize\"===e.originalEvent.type;e.geolocateSource||\"ACTIVE_LOCK\"!==n._watchState||r||(n._watchState=\"BACKGROUND\",n._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\"),n._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),n.fire(new t.Event(\"trackuserlocationend\")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce(\"Geolocate control triggered before added to a map\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new t.Event(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":Ni--,ji=!1,this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this.fire(new t.Event(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event(\"trackuserlocationstart\"))}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"BACKGROUND\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\");break;case\"BACKGROUND_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\")}if(\"OFF\"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),++Ni>1?(e={maximumAge:6e5,timeout:0},ji=!0):(e=this.options.positionOptions,ji=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Vi={maxWidth:100,unit:\"metric\"},Hi=function(e){this.options=t.extend({},Vi,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function qi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&\"imperial\"===r.unit){var l=3.2808*s;if(l>5280)Gi(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\"));else Gi(e,n,l,t._getUIString(\"ScaleControl.Feet\"))}else if(r&&\"nautical\"===r.unit){Gi(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\"))}else s>=1e3?Gi(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):Gi(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function Gi(t,e,r,n){var i,a,o,s=(i=r,a=Math.pow(10,(\"\"+Math.floor(i)).length-1),o=(o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o),a*o),l=s/r;t.style.width=e*l+\"px\",t.innerHTML=s+\"&nbsp;\"+n}Hi.prototype.getDefaultPosition=function(){return\"bottom-left\"},Hi.prototype._onMove=function(){qi(this._map,this._container,this.options)},Hi.prototype.onAdd=function(t){return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-scale\",t.getContainer()),this._map.on(\"move\",this._onMove),this._onMove(),this._container},Hi.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},Hi.prototype.setUnit=function(t){this.options.unit=t,qi(this._map,this._container,this.options)};var Yi=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce(\"Full screen control 'container' must be a DOM element.\")),t.bindAll([\"_onClickFullscreen\",\"_changeIcon\"],this),\"onfullscreenchange\"in t.window.document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in t.window.document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in t.window.document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in t.window.document&&(this._fullscreenchange=\"MSFullscreenChange\")};Yi.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display=\"none\",t.warnOnce(\"This device does not support fullscreen mode.\")),this._controlContainer},Yi.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},Yi.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},Yi.prototype._setupUI=function(){var e=this._fullscreenButton=r.create(\"button\",\"mapboxgl-ctrl-fullscreen\",this._controlContainer);r.create(\"span\",\"mapboxgl-ctrl-icon\",e).setAttribute(\"aria-hidden\",!0),e.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},Yi.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},Yi.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},Yi.prototype._isFullscreen=function(){return this._fullscreen},Yi.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-fullscreen\"),this._updateTitle())},Yi.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var Wi={closeButton:!0,closeOnClick:!0,className:\"\",maxWidth:\"240px\"},Zi=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(Wi),r),t.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new t.Event(\"open\")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),delete this._map),this.fire(new t.Event(\"close\")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),i=t.window.document.createElement(\"body\");for(i.innerHTML=e;r=i.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){return this._createContent(),this._content.appendChild(t),this._update(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createContent=function(){this._content&&r.remove(this._content),this._content=r.create(\"div\",\"mapboxgl-popup-content\",this._container),this.options.closeButton&&(this._closeButton=r.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.setAttribute(\"aria-label\",\"Close popup\"),this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(e){var n=this,i=this._lngLat||this._trackPointer;if(this._map&&i&&this._content&&(this._container||(this._container=r.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=r.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(\" \").forEach((function(t){return n._container.classList.add(t)})),this._trackPointer&&this._container.classList.add(\"mapboxgl-popup-track-pointer\")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=Oi(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||e)){var a=this._pos=this._trackPointer&&e?e:this._map.project(this._lngLat),o=this.options.anchor,s=function e(r){if(r){if(\"number\"==typeof r){var n=Math.round(Math.sqrt(.5*Math.pow(r,2)));return{center:new t.Point(0,0),top:new t.Point(0,r),\"top-left\":new t.Point(n,n),\"top-right\":new t.Point(-n,n),bottom:new t.Point(0,-r),\"bottom-left\":new t.Point(n,-n),\"bottom-right\":new t.Point(-n,-n),left:new t.Point(r,0),right:new t.Point(-r,0)}}if(r instanceof t.Point||Array.isArray(r)){var i=t.Point.convert(r);return{center:i,top:i,\"top-left\":i,\"top-right\":i,bottom:i,\"bottom-left\":i,\"bottom-right\":i,left:i,right:i}}return{center:t.Point.convert(r.center||[0,0]),top:t.Point.convert(r.top||[0,0]),\"top-left\":t.Point.convert(r[\"top-left\"]||[0,0]),\"top-right\":t.Point.convert(r[\"top-right\"]||[0,0]),bottom:t.Point.convert(r.bottom||[0,0]),\"bottom-left\":t.Point.convert(r[\"bottom-left\"]||[0,0]),\"bottom-right\":t.Point.convert(r[\"bottom-right\"]||[0,0]),left:t.Point.convert(r.left||[0,0]),right:t.Point.convert(r.right||[0,0])}}return e(new t.Point(0,0))}(this.options.offset);if(!o){var l,c=this._container.offsetWidth,u=this._container.offsetHeight;l=a.y+s.bottom.y<u?[\"top\"]:a.y>this._map.transform.height-u?[\"bottom\"]:[],a.x<c/2?l.push(\"left\"):a.x>this._map.transform.width-c/2&&l.push(\"right\"),o=0===l.length?\"bottom\":l.join(\"-\")}var f=a.add(s[o]).round();r.setTransform(this._container,zi[o]+\" translate(\"+f.x+\"px,\"+f.y+\"px)\"),Di(this._container,o,\"popup\")}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);var Xi={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Ei,NavigationControl:Pi,GeolocateControl:Ui,AttributionControl:bi,ScaleControl:Hi,FullscreenControl:Yi,Popup:Zi,Marker:Fi,Style:qe,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){Bt().acquire(zt)},clearPrewarmedResources:function(){var t=Rt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(zt),Rt=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()\"))},get accessToken(){return t.config.ACCESS_TOKEN},set accessToken(e){t.config.ACCESS_TOKEN=e},get baseApiUrl(){return t.config.API_URL},set baseApiUrl(e){t.config.API_URL=e},get workerCount(){return Dt.workerCount},set workerCount(t){Dt.workerCount=t},get maxParallelImageRequests(){return t.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(e){t.config.MAX_PARALLEL_IMAGE_REQUESTS=e},clearStorage:function(e){t.clearTileCache(e)},workerUrl:\"\"};return Xi})),r}))},{}],240:[function(t,e,r){\"use strict\";e.exports=Math.log2||function(t){return Math.log(t)*Math.LOG2E}},{}],241:[function(t,e,r){\"use strict\";e.exports=function(t,e){e||(e=t,t=window);var r=0,i=0,a=0,o={shift:!1,alt:!1,control:!1,meta:!1},s=!1;function l(t){var e=!1;return\"altKey\"in t&&(e=e||t.altKey!==o.alt,o.alt=!!t.altKey),\"shiftKey\"in t&&(e=e||t.shiftKey!==o.shift,o.shift=!!t.shiftKey),\"ctrlKey\"in t&&(e=e||t.ctrlKey!==o.control,o.control=!!t.ctrlKey),\"metaKey\"in t&&(e=e||t.metaKey!==o.meta,o.meta=!!t.metaKey),e}function c(t,s){var c=n.x(s),u=n.y(s);\"buttons\"in s&&(t=0|s.buttons),(t!==r||c!==i||u!==a||l(s))&&(r=0|t,i=c||0,a=u||0,e&&e(r,i,a,o))}function u(t){c(0,t)}function f(){(r||i||a||o.shift||o.alt||o.meta||o.control)&&(i=a=0,r=0,o.shift=o.alt=o.control=o.meta=!1,e&&e(0,0,0,o))}function h(t){l(t)&&e&&e(r,i,a,o)}function p(t){0===n.buttons(t)?c(0,t):c(r,t)}function d(t){c(r|n.buttons(t),t)}function m(t){c(r&~n.buttons(t),t)}function g(){s||(s=!0,t.addEventListener(\"mousemove\",p),t.addEventListener(\"mousedown\",d),t.addEventListener(\"mouseup\",m),t.addEventListener(\"mouseleave\",u),t.addEventListener(\"mouseenter\",u),t.addEventListener(\"mouseout\",u),t.addEventListener(\"mouseover\",u),t.addEventListener(\"blur\",f),t.addEventListener(\"keyup\",h),t.addEventListener(\"keydown\",h),t.addEventListener(\"keypress\",h),t!==window&&(window.addEventListener(\"blur\",f),window.addEventListener(\"keyup\",h),window.addEventListener(\"keydown\",h),window.addEventListener(\"keypress\",h)))}g();var v={element:t};return Object.defineProperties(v,{enabled:{get:function(){return s},set:function(e){e?g():function(){if(!s)return;s=!1,t.removeEventListener(\"mousemove\",p),t.removeEventListener(\"mousedown\",d),t.removeEventListener(\"mouseup\",m),t.removeEventListener(\"mouseleave\",u),t.removeEventListener(\"mouseenter\",u),t.removeEventListener(\"mouseout\",u),t.removeEventListener(\"mouseover\",u),t.removeEventListener(\"blur\",f),t.removeEventListener(\"keyup\",h),t.removeEventListener(\"keydown\",h),t.removeEventListener(\"keypress\",h),t!==window&&(window.removeEventListener(\"blur\",f),window.removeEventListener(\"keyup\",h),window.removeEventListener(\"keydown\",h),window.removeEventListener(\"keypress\",h))}()},enumerable:!0},buttons:{get:function(){return r},enumerable:!0},x:{get:function(){return i},enumerable:!0},y:{get:function(){return a},enumerable:!0},mods:{get:function(){return o},enumerable:!0}}),v};var n=t(\"mouse-event\")},{\"mouse-event\":243}],242:[function(t,e,r){var n={left:0,top:0};e.exports=function(t,e,r){e=e||t.currentTarget||t.srcElement,Array.isArray(r)||(r=[0,0]);var i=t.clientX||0,a=t.clientY||0,o=(s=e,s===window||s===document||s===document.body?n:s.getBoundingClientRect());var s;return r[0]=i-o.left,r[1]=a-o.top,r}},{}],243:[function(t,e,r){\"use strict\";function n(t){return t.target||t.srcElement||window}r.buttons=function(t){if(\"object\"==typeof t){if(\"buttons\"in t)return t.buttons;if(\"which\"in t){if(2===(e=t.which))return 4;if(3===e)return 2;if(e>0)return 1<<e-1}else if(\"button\"in t){var e;if(1===(e=t.button))return 4;if(2===e)return 2;if(e>=0)return 1<<e}}return 0},r.element=n,r.x=function(t){if(\"object\"==typeof t){if(\"offsetX\"in t)return t.offsetX;var e=n(t).getBoundingClientRect();return t.clientX-e.left}return 0},r.y=function(t){if(\"object\"==typeof t){if(\"offsetY\"in t)return t.offsetY;var e=n(t).getBoundingClientRect();return t.clientY-e.top}return 0}},{}],244:[function(t,e,r){\"use strict\";var n=t(\"to-px\");e.exports=function(t,e,r){\"function\"==typeof t&&(r=!!e,e=t,t=window);var i=n(\"ex\",t),a=function(t){r&&t.preventDefault();var n=t.deltaX||0,a=t.deltaY||0,o=t.deltaZ||0,s=1;switch(t.deltaMode){case 1:s=i;break;case 2:s=window.innerHeight}if(a*=s,o*=s,(n*=s)||a||o)return e(n,a,o,t)};return t.addEventListener(\"wheel\",a),a}},{\"to-px\":315}],245:[function(t,e,r){(function(t,r){(function(){\n",
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-       "/*\n",
-       " * @copyright 2016 Sean Connelly (@voidqk), http://syntheti.cc\n",
-       " * @license MIT\n",
-       " * @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},{}],259:[function(t,e,r){var n=t(\"./linked-list\");e.exports=function(t,e,r){function i(t,e,n){return{id:r?r.segmentId():-1,start:t,end:e,myFill:{above:n.myFill.above,below:n.myFill.below},otherFill:null}}var a=n.create();function o(t,r){a.insertBefore(t,(function(n){return function(t,r,n,i,a,o){var s=e.pointsCompare(r,a);return 0!==s?s:e.pointsSame(n,o)?0:t!==i?t?1:-1:e.pointAboveOrOnLine(n,i?a:o,i?o:a)?1:-1}(t.isStart,t.pt,r,n.isStart,n.pt,n.other.pt)<0}))}function s(t,e){var r=function(t,e){var r=n.node({isStart:!0,pt:t.start,seg:t,primary:e,other:null,status:null});return o(r,t.end),r}(t,e);return function(t,e,r){var i=n.node({isStart:!1,pt:e.end,seg:e,primary:r,other:t,status:null});t.other=i,o(i,t.pt)}(r,t,e),r}function l(t,e){var n=i(e,t.seg.end,t.seg);return function(t,e){r&&r.segmentChop(t.seg,e),t.other.remove(),t.seg.end=e,t.other.pt=e,o(t.other,t.pt)}(t,e),s(n,t.primary)}function c(i,o){var s=n.create();function c(t){return s.findTransition((function(r){var n,i,a,o,s,l;return(n=t,i=r.ev,a=n.seg.start,o=n.seg.end,s=i.seg.start,l=i.seg.end,e.pointsCollinear(a,s,l)?e.pointsCollinear(o,s,l)||e.pointAboveOrOnLine(o,s,l)?1:-1:e.pointAboveOrOnLine(a,s,l)?1:-1)>0}))}function u(t,n){var i=t.seg,a=n.seg,o=i.start,s=i.end,c=a.start,u=a.end;r&&r.checkIntersection(i,a);var f=e.linesIntersect(o,s,c,u);if(!1===f){if(!e.pointsCollinear(o,s,c))return!1;if(e.pointsSame(o,u)||e.pointsSame(s,c))return!1;var h=e.pointsSame(o,c),p=e.pointsSame(s,u);if(h&&p)return n;var d=!h&&e.pointBetween(o,c,u),m=!p&&e.pointBetween(s,c,u);if(h)return m?l(n,s):l(t,u),n;d&&(p||(m?l(n,s):l(t,u)),l(n,o))}else 0===f.alongA&&(-1===f.alongB?l(t,c):0===f.alongB?l(t,f.pt):1===f.alongB&&l(t,u)),0===f.alongB&&(-1===f.alongA?l(n,o):0===f.alongA?l(n,f.pt):1===f.alongA&&l(n,s));return!1}for(var f=[];!a.isEmpty();){var h=a.getHead();if(r&&r.vert(h.pt[0]),h.isStart){r&&r.segmentNew(h.seg,h.primary);var p=c(h),d=p.before?p.before.ev:null,m=p.after?p.after.ev:null;function g(){if(d){var t=u(h,d);if(t)return t}return!!m&&u(h,m)}r&&r.tempStatus(h.seg,!!d&&d.seg,!!m&&m.seg);var v,y=g();if(y){var x;if(t)(x=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below)&&(y.seg.myFill.above=!y.seg.myFill.above);else y.seg.otherFill=h.seg.myFill;r&&r.segmentUpdate(y.seg),h.other.remove(),h.remove()}if(a.getHead()!==h){r&&r.rewind(h.seg);continue}if(t)x=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below,h.seg.myFill.below=m?m.seg.myFill.above:i,h.seg.myFill.above=x?!h.seg.myFill.below:h.seg.myFill.below;else if(null===h.seg.otherFill)v=m?h.primary===m.primary?m.seg.otherFill.above:m.seg.myFill.above:h.primary?o:i,h.seg.otherFill={above:v,below:v};r&&r.status(h.seg,!!d&&d.seg,!!m&&m.seg),h.other.status=p.insert(n.node({ev:h}))}else{var b=h.status;if(null===b)throw new Error(\"PolyBool: Zero-length segment detected; your epsilon is probably too small or too large\");if(s.exists(b.prev)&&s.exists(b.next)&&u(b.prev.ev,b.next.ev),r&&r.statusRemove(b.ev.seg),b.remove(),!h.primary){var _=h.seg.myFill;h.seg.myFill=h.seg.otherFill,h.seg.otherFill=_}f.push(h.seg)}a.getHead().remove()}return r&&r.done(),f}return t?{addRegion:function(t){for(var n,i,a,o=t[t.length-1],l=0;l<t.length;l++){n=o,o=t[l];var c=e.pointsCompare(n,o);0!==c&&s((i=c<0?n:o,a=c<0?o:n,{id:r?r.segmentId():-1,start:i,end:a,myFill:{above:null,below:null},otherFill:null}),!0)}},calculate:function(t){return c(t,!1)}}:{calculate:function(t,e,r,n){return t.forEach((function(t){s(i(t.start,t.end,t),!0)})),r.forEach((function(t){s(i(t.start,t.end,t),!1)})),c(e,n)}}}},{\"./linked-list\":260}],260:[function(t,e,r){e.exports={create:function(){var t={root:{root:!0,next:null},exists:function(e){return null!==e&&e!==t.root},isEmpty:function(){return null===t.root.next},getHead:function(){return t.root.next},insertBefore:function(e,r){for(var n=t.root,i=t.root.next;null!==i;){if(r(i))return e.prev=i.prev,e.next=i,i.prev.next=e,void(i.prev=e);n=i,i=i.next}n.next=e,e.prev=n,e.next=null},findTransition:function(e){for(var r=t.root,n=t.root.next;null!==n&&!e(n);)r=n,n=n.next;return{before:r===t.root?null:r,after:n,insert:function(t){return t.prev=r,t.next=n,r.next=t,null!==n&&(n.prev=t),t}}}};return t},node:function(t){return t.prev=null,t.next=null,t.remove=function(){t.prev.next=t.next,t.next&&(t.next.prev=t.prev),t.prev=null,t.next=null},t}}},{}],261:[function(t,e,r){e.exports=function(t,e,r){var n=[],i=[];return t.forEach((function(t){var a=t.start,o=t.end;if(e.pointsSame(a,o))console.warn(\"PolyBool: Warning: Zero-length segment detected; your epsilon is probably too small or too large\");else{r&&r.chainStart(t);for(var s={index:0,matches_head:!1,matches_pt1:!1},l={index:0,matches_head:!1,matches_pt1:!1},c=s,u=0;u<n.length;u++){var f=(g=n[u])[0],h=(g[1],g[g.length-1]);g[g.length-2];if(e.pointsSame(f,a)){if(k(u,!0,!0))break}else if(e.pointsSame(f,o)){if(k(u,!0,!1))break}else if(e.pointsSame(h,a)){if(k(u,!1,!0))break}else if(e.pointsSame(h,o)&&k(u,!1,!1))break}if(c===s)return n.push([a,o]),void(r&&r.chainNew(a,o));if(c===l){r&&r.chainMatch(s.index);var p=s.index,d=s.matches_pt1?o:a,m=s.matches_head,g=n[p],v=m?g[0]:g[g.length-1],y=m?g[1]:g[g.length-2],x=m?g[g.length-1]:g[0],b=m?g[g.length-2]:g[1];return e.pointsCollinear(y,v,d)&&(m?(r&&r.chainRemoveHead(s.index,d),g.shift()):(r&&r.chainRemoveTail(s.index,d),g.pop()),v=y),e.pointsSame(x,d)?(n.splice(p,1),e.pointsCollinear(b,x,v)&&(m?(r&&r.chainRemoveTail(s.index,v),g.pop()):(r&&r.chainRemoveHead(s.index,v),g.shift())),r&&r.chainClose(s.index),void i.push(g)):void(m?(r&&r.chainAddHead(s.index,d),g.unshift(d)):(r&&r.chainAddTail(s.index,d),g.push(d)))}var _=s.index,w=l.index;r&&r.chainConnect(_,w);var T=n[_].length<n[w].length;s.matches_head?l.matches_head?T?(A(_),M(_,w)):(A(w),M(w,_)):M(w,_):l.matches_head?M(_,w):T?(A(_),M(w,_)):(A(w),M(_,w))}function k(t,e,r){return c.index=t,c.matches_head=e,c.matches_pt1=r,c===s?(c=l,!1):(c=null,!0)}function A(t){r&&r.chainReverse(t),n[t].reverse()}function M(t,i){var a=n[t],o=n[i],s=a[a.length-1],l=a[a.length-2],c=o[0],u=o[1];e.pointsCollinear(l,s,c)&&(r&&r.chainRemoveTail(t,s),a.pop(),s=l),e.pointsCollinear(s,c,u)&&(r&&r.chainRemoveHead(i,c),o.shift()),r&&r.chainJoin(t,i),n[t]=a.concat(o),n.splice(i,1)}})),i}},{}],262:[function(t,e,r){function n(t,e,r){var n=[];return t.forEach((function(t){var i=(t.myFill.above?8:0)+(t.myFill.below?4:0)+(t.otherFill&&t.otherFill.above?2:0)+(t.otherFill&&t.otherFill.below?1:0);0!==e[i]&&n.push({id:r?r.segmentId():-1,start:t.start,end:t.end,myFill:{above:1===e[i],below:2===e[i]},otherFill:null})})),r&&r.selected(n),n}var i={union:function(t,e){return n(t,[0,2,1,0,2,2,0,0,1,0,1,0,0,0,0,0],e)},intersect:function(t,e){return n(t,[0,0,0,0,0,2,0,2,0,0,1,1,0,2,1,0],e)},difference:function(t,e){return n(t,[0,0,0,0,2,0,2,0,1,1,0,0,0,1,2,0],e)},differenceRev:function(t,e){return n(t,[0,2,1,0,0,0,1,1,0,2,0,2,0,0,0,0],e)},xor:function(t,e){return n(t,[0,2,1,0,2,0,0,1,1,0,0,2,0,1,2,0],e)}};e.exports=i},{}],263:[function(t,e,r){\"use strict\";var n=t(\"stream\").Transform,i=t(\"stream-parser\");function a(){n.call(this,{readableObjectMode:!0})}function o(t,e,r){Error.call(this),Error.captureStackTrace?Error.captureStackTrace(this,this.constructor):this.stack=(new Error).stack||\"\",this.name=this.constructor.name,this.message=t,e&&(this.code=e),r&&(this.statusCode=r)}a.prototype=Object.create(n.prototype),a.prototype.constructor=a,i(a.prototype),r.ParserStream=a,r.sliceEq=function(t,e,r){for(var n=e,i=0;i<r.length;)if(t[n++]!==r[i++])return!1;return!0},r.str2arr=function(t,e){var r=[],n=0;if(e&&\"hex\"===e)for(;n<t.length;)r.push(parseInt(t.slice(n,n+2),16)),n+=2;else for(;n<t.length;n++)r.push(255&t.charCodeAt(n));return r},r.readUInt16LE=function(t,e){return t[e]|t[e+1]<<8},r.readUInt16BE=function(t,e){return t[e+1]|t[e]<<8},r.readUInt32LE=function(t,e){return t[e]|t[e+1]<<8|t[e+2]<<16|16777216*t[e+3]},r.readUInt32BE=function(t,e){return t[e+3]|t[e+2]<<8|t[e+1]<<16|16777216*t[e]},o.prototype=Object.create(Error.prototype),o.prototype.constructor=o,r.ProbeError=o},{stream:286,\"stream-parser\":302}],264:[function(t,e,r){\"use strict\";function n(t,e){var r=new Error(t);return r.code=e,r}function i(t){try{return decodeURIComponent(escape(t))}catch(e){return t}}function a(t,e,r){this.input=t.subarray(e,r),this.start=e;var i=String.fromCharCode.apply(null,this.input.subarray(0,4));if(\"II*\\0\"!==i&&\"MM\\0*\"!==i)throw n(\"invalid TIFF signature\",\"EBADDATA\");this.big_endian=\"M\"===i[0]}a.prototype.each=function(t){this.aborted=!1;var e=this.read_uint32(4);for(this.ifds_to_read=[{id:0,offset:e}];this.ifds_to_read.length>0&&!this.aborted;){var r=this.ifds_to_read.shift();r.offset&&this.scan_ifd(r.id,r.offset,t)}},a.prototype.read_uint16=function(t){var e=this.input;if(t+2>e.length)throw n(\"unexpected EOF\",\"EBADDATA\");return this.big_endian?256*e[t]+e[t+1]:e[t]+256*e[t+1]},a.prototype.read_uint32=function(t){var e=this.input;if(t+4>e.length)throw n(\"unexpected EOF\",\"EBADDATA\");return this.big_endian?16777216*e[t]+65536*e[t+1]+256*e[t+2]+e[t+3]:e[t]+256*e[t+1]+65536*e[t+2]+16777216*e[t+3]},a.prototype.is_subifd_link=function(t,e){return 0===t&&34665===e||0===t&&34853===e||34665===t&&40965===e},a.prototype.exif_format_length=function(t){switch(t){case 1:case 2:case 6:case 7:return 1;case 3:case 8:return 2;case 4:case 9:case 11:return 4;case 5:case 10:case 12:return 8;default:return 0}},a.prototype.exif_format_read=function(t,e){var r;switch(t){case 1:case 2:return r=this.input[e];case 6:return(r=this.input[e])|33554430*(128&r);case 3:return r=this.read_uint16(e);case 8:return(r=this.read_uint16(e))|131070*(32768&r);case 4:return r=this.read_uint32(e);case 9:return 0|(r=this.read_uint32(e));case 5:case 10:case 11:case 12:case 7:default:return null}},a.prototype.scan_ifd=function(t,e,r){var a=this.read_uint16(e);e+=2;for(var o=0;o<a;o++){var s=this.read_uint16(e),l=this.read_uint16(e+2),c=this.read_uint32(e+4),u=this.exif_format_length(l),f=c*u,h=f<=4?e+8:this.read_uint32(e+8),p=!1;if(h+f>this.input.length)throw n(\"unexpected EOF\",\"EBADDATA\");for(var d=[],m=h,g=0;g<c;g++,m+=u){var v=this.exif_format_read(l,m);if(null===v){d=null;break}d.push(v)}if(Array.isArray(d)&&2===l&&(d=i(String.fromCharCode.apply(null,d)))&&\"\\0\"===d[d.length-1]&&(d=d.slice(0,-1)),this.is_subifd_link(t,s)&&Array.isArray(d)&&Number.isInteger(d[0])&&d[0]>0&&(this.ifds_to_read.push({id:s,offset:d[0]}),p=!0),!1===r({is_big_endian:this.big_endian,ifd:t,tag:s,format:l,count:c,entry_offset:e+this.start,data_length:f,data_offset:h+this.start,value:d,is_subifd_link:p}))return void(this.aborted=!0);e+=12}0===t&&this.ifds_to_read.push({id:1,offset:this.read_uint32(e)})},e.exports.ExifParser=a,e.exports.get_orientation=function(t){var e=0;try{return new a(t,0,t.length).each((function(t){if(0===t.ifd&&274===t.tag&&Array.isArray(t.value))return e=t.value[0],!1})),e}catch(t){return-1}}},{}],265:[function(t,e,r){\"use strict\";var n=t(\"./common\").readUInt16BE,i=t(\"./common\").readUInt32BE;function a(t,e){if(t.length<4+e)return null;var r=i(t,e);return t.length<r+e||r<8?null:{boxtype:String.fromCharCode.apply(null,t.slice(e+4,e+8)),data:t.slice(e+8,e+r),end:e+r}}function o(t,e){for(var r=0;;){var n=a(t,r);if(!n)break;switch(n.boxtype){case\"ispe\":e.sizes.push({width:i(n.data,4),height:i(n.data,8)});break;case\"irot\":e.transforms.push({type:\"irot\",value:3&n.data[0]});break;case\"imir\":e.transforms.push({type:\"imir\",value:1&n.data[0]})}r=n.end}}function s(t,e,r){for(var n=0,i=0;i<r;i++)n=256*n+(t[e+i]||0);return n}function l(t,e){for(var r=t[4]>>4&15,i=15&t[4],a=t[5]>>4&15,o=n(t,6),l=8,c=0;c<o;c++){var u=n(t,l),f=n(t,l+=2),h=s(t,l+=2,a),p=n(t,l+=a);if(l+=2,0===f&&1===p){var d=s(t,l,r),m=s(t,l+r,i);e.item_loc[u]={length:m,offset:d+h}}l+=p*(r+i)}}function c(t,e){for(var r=n(t,4),i=6,o=0;o<r;o++){var s=a(t,i);if(!s)break;if(\"infe\"===s.boxtype){for(var l=n(s.data,4),c=\"\",u=8;u<s.data.length&&s.data[u];u++)c+=String.fromCharCode(s.data[u]);e.item_inf[c]=l}i=s.end}}function u(t,e){for(var r=0;;){var n=a(t,r);if(!n)break;\"ipco\"===n.boxtype&&o(n.data,e),r=n.end}}e.exports.unbox=a,e.exports.readSizeFromMeta=function(t){var e={sizes:[],transforms:[],item_inf:{},item_loc:{}};if(function(t,e){for(var r=4;;){var n=a(t,r);if(!n)break;\"iprp\"===n.boxtype&&u(n.data,e),\"iloc\"===n.boxtype&&l(n.data,e),\"iinf\"===n.boxtype&&c(n.data,e),r=n.end}}(t,e),e.sizes.length){var r,n,i,o=(r=e.sizes,n=r.reduce((function(t,e){return t.width>e.width||t.width===e.width&&t.height>e.height?t:e})),i=r.reduce((function(t,e){return t.height>e.height||t.height===e.height&&t.width>e.width?t:e})),n.width>i.height||n.width===i.height&&n.height>i.width?n:i),s=1;e.transforms.forEach((function(t){var e={1:6,2:5,3:8,4:7,5:4,6:3,7:2,8:1},r={1:4,2:3,3:2,4:1,5:6,6:5,7:8,8:7};if(\"imir\"===t.type&&(s=0===t.value?r[s]:e[s=e[s=r[s]]]),\"irot\"===t.type)for(var n=0;n<t.value;n++)s=e[s]}));var f=null;return e.item_inf.Exif&&(f=e.item_loc[e.item_inf.Exif]),{width:o.width,height:o.height,orientation:e.transforms.length?s:null,variants:e.sizes,exif_location:f}}},e.exports.getMimeType=function(t){var e=String.fromCharCode.apply(null,t.slice(0,4)),r={};r[e]=!0;for(var 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Uint8Array(4*h),w=new Float32Array(4*h);x.forEach((function(t,e){if(t){var r=t.positions,n=t.count,i=t.offset,a=t.color,o=t.errors;n&&(_.set(a,4*i),w.set(o,4*i),g.set(r,2*i))}}));var T=u(g);c(T);var k=f(g,T);p(k),d(_),m(w)}}}function k(){c.destroy(),p.destroy(),d.destroy(),m.destroy(),g.destroy()}};var h=[[1,0,0,1,0,0],[1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,1,0,0],[1,0,0,1,0,0],[1,0,-1,0,0,1],[1,0,-1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,1],[1,0,-1,0,0,1],[-1,0,-1,0,0,1],[-1,0,-1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,1],[-1,0,-1,0,0,1],[0,1,1,0,0,0],[0,1,-1,0,0,0],[0,-1,-1,0,0,0],[0,-1,-1,0,0,0],[0,1,1,0,0,0],[0,-1,1,0,0,0],[0,1,0,-1,1,0],[0,1,0,-1,-1,0],[0,1,0,1,-1,0],[0,1,0,1,1,0],[0,1,0,-1,1,0],[0,1,0,1,-1,0],[0,-1,0,-1,1,0],[0,-1,0,-1,-1,0],[0,-1,0,1,-1,0],[0,-1,0,1,1,0],[0,-1,0,-1,1,0],[0,-1,0,1,-1,0]]},{\"array-bounds\":71,\"color-normalize\":89,\"flatten-vertex-data\":191,\"object-assign\":247,\"pick-by-alias\":253,\"to-float32\":314,\"update-diff\":330}],281:[function(t,e,r){\"use strict\";var n=t(\"color-normalize\"),i=t(\"array-bounds\"),a=t(\"object-assign\"),o=t(\"glslify\"),s=t(\"pick-by-alias\"),l=t(\"flatten-vertex-data\"),c=t(\"earcut\"),u=t(\"array-normalize\"),f=t(\"to-float32\"),h=f.float32,p=f.fract32,d=t(\"es6-weak-map\"),m=t(\"parse-rect\"),g=t(\"array-find-index\");function v(t,e){if(!(this instanceof v))return new v(t,e);if(\"function\"==typeof t?(e||(e={}),e.regl=t):e=t,e.length&&(e.positions=e),!(t=e.regl).hasExtension(\"ANGLE_instanced_arrays\"))throw Error(\"regl-error2d: `ANGLE_instanced_arrays` extension should be enabled\");this.gl=t._gl,this.regl=t,this.passes=[],this.shaders=v.shaders.has(t)?v.shaders.get(t):v.shaders.set(t,v.createShaders(t)).get(t),this.update(e)}e.exports=v,v.dashMult=2,v.maxPatternLength=256,v.precisionThreshold=3e6,v.maxPoints=1e4,v.maxLines=2048,v.shaders=new d,v.createShaders=function(t){var e,r=t.buffer({usage:\"static\",type:\"float\",data:[0,1,0,0,1,1,1,0]}),n={primitive:\"triangle strip\",instances:t.prop(\"count\"),count:4,offset:0,uniforms:{miterMode:function(t,e){return\"round\"===e.join?2:1},miterLimit:t.prop(\"miterLimit\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),thickness:t.prop(\"thickness\"),dashTexture:t.prop(\"dashTexture\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),dashLength:t.prop(\"dashLength\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]},depth:t.prop(\"depth\")},blend:{enable:!0,color:[0,0,0,0],equation:{rgb:\"add\",alpha:\"add\"},func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},depth:{enable:function(t,e){return!e.overlay}},stencil:{enable:!1},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\")},i=t(a({vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, aCoordFract, bCoordFract;\\nattribute vec4 color;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\\n\\t// the order is important\\n\\treturn position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n}\\n\\nvoid main() {\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineOffset = lineTop * 2. - 1.;\\n\\n\\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\\n\\ttangent = normalize(diff * scale * viewport.zw);\\n\\tvec2 normal = vec2(-tangent.y, tangent.x);\\n\\n\\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\\n\\t\\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\\n\\n\\t\\t+ thickness * normal * .5 * lineOffset / viewport.zw;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvoid main() {\\n\\tfloat alpha = 1.;\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:16,divisor:1},color:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1}}},n));try{e=t(a({cull:{enable:!0,face:\"back\"},vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, nextCoord, prevCoord;\\nattribute vec4 aColor, bColor;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, translate;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\nuniform float miterLimit, miterMode;\\n\\nvarying vec4 fragColor;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 tangent;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nconst float REVERSE_THRESHOLD = -.875;\\nconst float MIN_DIFF = 1e-6;\\n\\n// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\\n// TODO: precalculate dot products, normalize things beforehead etc.\\n// TODO: refactor to rectangular algorithm\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nbool isNaN( float val ){\\n  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\\n}\\n\\nvoid main() {\\n\\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\\n\\n  vec2 adjustedScale;\\n  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\\n  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\\n\\n  vec2 scaleRatio = adjustedScale * viewport.zw;\\n\\tvec2 normalWidth = thickness / scaleRatio;\\n\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineBot = 1. - lineTop;\\n\\n\\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\\n\\n\\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\\n\\n\\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\\n\\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\\n\\n\\tvec2 prevDiff = aCoord - prevCoord;\\n\\tvec2 currDiff = bCoord - aCoord;\\n\\tvec2 nextDiff = nextCoord - bCoord;\\n\\n\\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\\n\\tvec2 currTangent = normalize(currDiff * scaleRatio);\\n\\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\\n\\n\\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\\n\\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\\n\\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\\n\\n\\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\\n\\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\\n\\n\\t// collapsed/unidirectional segment cases\\n\\t// FIXME: there should be more elegant solution\\n\\tvec2 prevTanDiff = abs(prevTangent - currTangent);\\n\\tvec2 nextTanDiff = abs(nextTangent - currTangent);\\n\\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\\n\\t\\tstartJoinDirection = currNormal;\\n\\t}\\n\\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\\n\\t\\tendJoinDirection = currNormal;\\n\\t}\\n\\tif (aCoord == bCoord) {\\n\\t\\tendJoinDirection = startJoinDirection;\\n\\t\\tcurrNormal = prevNormal;\\n\\t\\tcurrTangent = prevTangent;\\n\\t}\\n\\n\\ttangent = currTangent;\\n\\n\\t//calculate join shifts relative to normals\\n\\tfloat startJoinShift = dot(currNormal, startJoinDirection);\\n\\tfloat endJoinShift = dot(currNormal, endJoinDirection);\\n\\n\\tfloat startMiterRatio = abs(1. / startJoinShift);\\n\\tfloat endMiterRatio = abs(1. / endJoinShift);\\n\\n\\tvec2 startJoin = startJoinDirection * startMiterRatio;\\n\\tvec2 endJoin = endJoinDirection * endMiterRatio;\\n\\n\\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\\n\\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\\n\\tstartBotJoin = -startTopJoin;\\n\\n\\tendTopJoin = sign(endJoinShift) * endJoin * .5;\\n\\tendBotJoin = -endTopJoin;\\n\\n\\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\\n\\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\\n\\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\\n\\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\\n\\n\\t//miter anti-clipping\\n\\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\\n\\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\\n\\n\\t//prevent close to reverse direction switch\\n\\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\n\\tif (prevReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\\n\\t\\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\tbTopCoord -= normalWidth * endTopJoin;\\n\\t\\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\\n\\t}\\n\\n\\tif (nextReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\\n\\t\\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\taBotCoord -= normalWidth * startBotJoin;\\n\\t\\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\\n\\t}\\n\\n\\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\\n\\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\\n\\n\\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\\n\\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\\n\\n\\t//position is normalized 0..1 coord on the screen\\n\\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\\n\\n\\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\n\\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\\n\\n\\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\\n\\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\\n\\n\\t//bevel miter cutoffs\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n\\n\\t//round miter cutoffs\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id, miterMode;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nvoid main() {\\n\\tfloat alpha = 1., distToStart, distToEnd;\\n\\tfloat cutoff = thickness * .5;\\n\\n\\t//bevel miter\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToStart + 1., 0.), 1.);\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToEnd + 1., 0.), 1.);\\n\\t\\t}\\n\\t}\\n\\n\\t// round miter\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - startCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - endCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * 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t=this,e=[],r=arguments.length;r--;)e[r]=arguments[r];return(e.length?e:this.passes).forEach((function(e,r){var n;if(e&&Array.isArray(e))return(n=t).draw.apply(n,e);\"number\"==typeof e&&(e=t.passes[e]),e&&e.count>1&&e.opacity&&(t.regl._refresh(),e.fill&&e.triangles&&e.triangles.length>2&&t.shaders.fill(e),e.thickness&&(e.scale[0]*e.viewport.width>v.precisionThreshold||e.scale[1]*e.viewport.height>v.precisionThreshold||\"rect\"===e.join||!e.join&&(e.thickness<=2||e.count>=v.maxPoints)?t.shaders.rect(e):t.shaders.miter(e)))})),this},v.prototype.update=function(t){var e=this;if(t){null!=t.length?\"number\"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var r=this.regl,o=this.gl;if(t.forEach((function(t,f){var d=e.passes[f];if(void 0!==t)if(null!==t){if(\"number\"==typeof t[0]&&(t={positions:t}),t=s(t,{positions:\"positions points data coords\",thickness:\"thickness lineWidth lineWidths line-width linewidth width stroke-width strokewidth strokeWidth\",join:\"lineJoin linejoin 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C=y[2*S],P=y[2*S+1];isNaN(C)||isNaN(P)||null==C||null==P?(C=y[2*M],P=y[2*M+1],A[S]=M):M=S,k[E++]=C,k[E++]=P}if(t.splitNull){d.count-1 in A||(A[d.count]=d.count-1);var I=Object.keys(A).map(Number).sort((function(t,e){return t-e})),O=[],z=0,D=null!=d.hole?d.hole[0]:null;if(null!=D){var R=g(I,(function(t){return t>=D}));(I=I.slice(0,R)).push(D)}for(var F=function(t){var e=k.slice(2*z,2*I[t]).concat(D?k.slice(2*D):[]),r=(d.hole||[]).map((function(e){return e-D+(I[t]-z)})),n=c(e,r);n=n.map((function(e){return e+z+(e+z<I[t]?0:D-I[t])})),O.push.apply(O,n),z=I[t]+1},B=0;B<I.length;B++)F(B);for(var N=0,j=O.length;N<j;N++)null!=A[O[N]]&&(O[N]=A[O[N]]);d.triangles=O}else{for(var U=c(k,d.hole||[]),V=0,H=U.length;V<H;V++)null!=A[U[V]]&&(U[V]=A[U[V]]);d.triangles=U}}var q=new Float64Array(y);u(q,2,T);var G=new 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at=0;at<t.dashes.length;++at){for(var ot=0,st=t.dashes[at]*v.dashMult*.5;ot<st;++ot)$[rt++]=nt;nt^=255}}d.dashLength=tt,d.dashTexture({channels:1,data:$,width:$.length,height:1,mag:\"linear\",min:\"linear\"},0,0)}if(t.color){var lt=d.count,ct=t.color;ct||(ct=\"transparent\");var ut=new Uint8Array(4*lt+4);if(Array.isArray(ct)&&\"number\"!=typeof ct[0]){for(var ft=0;ft<lt;ft++){var ht=n(ct[ft],\"uint8\");ut.set(ht,4*ft)}ut.set(n(ct[0],\"uint8\"),4*lt)}else for(var pt=n(ct,\"uint8\"),dt=0;dt<lt+1;dt++)ut.set(pt,4*dt);d.colorBuffer({usage:\"dynamic\",type:\"uint8\",data:ut})}}else e.passes[f]=null})),t.length<this.passes.length){for(var f=t.length;f<this.passes.length;f++){var d=this.passes[f];d&&(d.colorBuffer.destroy(),d.positionBuffer.destroy(),d.dashTexture.destroy())}this.passes.length=t.length}for(var y=[],x=0;x<this.passes.length;x++)null!==this.passes[x]&&y.push(this.passes[x]);return this.passes=y,this}},v.prototype.destroy=function(){return 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o={uniforms:{constPointSize:!!e.constPointSize,opacity:t.prop(\"opacity\"),paletteSize:function(t,e){return[r.tooManyColors?0:255,n.height]},pixelRatio:t.context(\"pixelRatio\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translate:t.prop(\"translate\"),translateFract:t.prop(\"translateFract\"),markerTexture:t.prop(\"markerTexture\"),paletteTexture:n},attributes:{x:function(t,e){return e.xAttr||{buffer:e.positionBuffer,stride:8,offset:0}},y:function(t,e){return e.yAttr||{buffer:e.positionBuffer,stride:8,offset:4}},xFract:function(t,e){return e.xAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:0}},yFract:function(t,e){return e.yAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:4}},size:function(t,e){return e.size.length?{buffer:e.sizeBuffer,stride:2,offset:0}:{constant:[Math.round(255*e.size/r.maxSize)]}},borderSize:function(t,e){return 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mix(color, fragColor, colorAmt);\\n    color.a *= opacity;\\n\\n    gl_FragColor = color;\\n  }\\n\\n}\\n\"]),s.vert=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform bool constPointSize;\\nuniform float pixelRatio;\\nuniform vec2 scale, scaleFract, translate, translateFract, paletteSize;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\nconst float borderLevel = .5;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragPointSize, fragBorderRadius, fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = 2. * size * pointSizeScale;\\n  fragPointSize = size * pixelRatio;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragColor = color;\\n  fragBorderColor = borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n\\n  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\\n  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\\n}\"]),this.drawMarker=t(s);var l=f({},o);l.frag=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nuniform float opacity;\\n\\nfloat smoothStep(float edge0, float edge1, float x) {\\n\\tfloat t;\\n\\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\\n\\treturn t * t * (3.0 - 2.0 * t);\\n}\\n\\nvoid main() {\\n\\tfloat radius, alpha = 1.0, delta = fragWidth;\\n\\n\\tradius = length(2.0 * gl_PointCoord.xy - 1.0);\\n\\n\\tif (radius > 1.0 + delta) {\\n\\t\\tdiscard;\\n\\t}\\n\\n\\talpha -= smoothstep(1.0 - delta, 1.0 + delta, radius);\\n\\n\\tfloat borderRadius = fragBorderRadius;\\n\\tfloat ratio = smoothstep(borderRadius - delta, borderRadius + delta, radius);\\n\\tvec4 color = mix(fragColor, fragBorderColor, ratio);\\n\\tcolor.a *= alpha * opacity;\\n\\tgl_FragColor = color;\\n}\\n\"]),l.vert=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform bool constPointSize;\\nuniform float pixelRatio;\\nuniform vec2 paletteSize, scale, scaleFract, translate, translateFract;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = (size + borderSize) * pointSizeScale;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragBorderRadius = 1. - 2. * borderSize / (size + borderSize);\\n  fragColor = color;\\n  fragBorderColor = borderColor.a == 0. || borderSize == 0. ? vec4(color.rgb, 0.) : borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n}\\n\"]),g&&(l.frag=l.frag.replace(\"smoothstep\",\"smoothStep\"),s.frag=s.frag.replace(\"smoothstep\",\"smoothStep\")),this.drawCircle=t(l)}b.defaults={color:\"black\",borderColor:\"transparent\",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4},b.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},b.prototype.draw=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];var i=this.groups;if(1===r.length&&Array.isArray(r[0])&&(null===r[0][0]||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var a=0;a<r.length;a++)this.drawItem(a,r[a]);else i.forEach((function(e,r){t.drawItem(r)}));return this},b.prototype.drawItem=function(t,e){var r=this.groups,n=r[t];if(\"number\"==typeof e&&(t=e,n=r[e],e=null),n&&n.count&&n.opacity){n.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,n,e));for(var a=[],o=1;o<n.activation.length;o++)n.activation[o]&&(!0===n.activation[o]||n.activation[o].data.length)&&a.push.apply(a,i(this.getMarkerDrawOptions(o,n,e)));a.length&&this.drawMarker(a)}},b.prototype.getMarkerDrawOptions=function(t,e,r){var i=e.range,a=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,c=e.count;this.regl;if(!a)return r?[f({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[f({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var u=[],h=a.range(i,{lod:!0,px:[(i[2]-i[0])/o.width,(i[3]-i[1])/o.height]});if(r){for(var p=s[t].data,d=new Uint8Array(c),m=0;m<r.length;m++){var g=r[m];d[g]=p?p[g]:1}l.subdata(d)}for(var v=h.length;v--;){var y=n(h[v],2),x=y[0],b=y[1];u.push(f({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:b-x}))}return u},b.prototype.update=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];if(r.length){1===r.length&&Array.isArray(r[0])&&(r=r[0]);var i=this.groups,a=this.gl,o=this.regl,s=this.maxSize,c=this.maxColors,h=this.palette;this.groups=i=r.map((function(e,r){var n=i[r];if(void 0===e)return n;null===e?e={positions:null}:\"function\"==typeof e?e={ondraw:e}:\"number\"==typeof e[0]&&(e={positions:e}),null===(e=p(e,{positions:\"positions data points\",snap:\"snap cluster lod tree\",size:\"sizes size radius\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",color:\"colors color fill fill-color fillColor\",borderColor:\"borderColors borderColor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range dataBox databox\",viewport:\"viewport viewPort viewBox viewbox\",opacity:\"opacity alpha transparency\",bounds:\"bound bounds boundaries limits\",tooManyColors:\"tooManyColors palette paletteMode optimizePalette enablePalette\"})).positions&&(e.positions=[]),null!=e.tooManyColors&&(t.tooManyColors=e.tooManyColors),n||(i[r]=n={id:r,scale:null,translate:null,scaleFract:null,translateFract:null,activation:[],selectionBuffer:o.buffer({data:new Uint8Array(0),usage:\"stream\",type:\"uint8\"}),sizeBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),colorBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),positionBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"}),positionFractBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"})},e=f({},b.defaults,e)),e.positions&&!(\"marker\"in e)&&(e.marker=n.marker,delete n.marker),e.marker&&!(\"positions\"in e)&&(e.positions=n.positions,delete n.positions);var g=0,x=0;if(d(n,e,[{snap:!0,size:function(t,e){return null==t&&(t=b.defaults.size),g+=t&&t.length?1:0,t},borderSize:function(t,e){return null==t&&(t=b.defaults.borderSize),g+=t&&t.length?1:0,t},opacity:parseFloat,color:function(e,r){return null==e&&(e=b.defaults.color),e=t.updateColor(e),x++,e},borderColor:function(e,r){return null==e&&(e=b.defaults.borderColor),e=t.updateColor(e),x++,e},bounds:function(t,e,r){return\"range\"in r||(r.range=null),t},positions:function(t,e,r){var n=e.snap,i=e.positionBuffer,a=e.positionFractBuffer,s=e.selectionBuffer;if(t.x||t.y)return t.x.length?e.xAttr={buffer:o.buffer(t.x),offset:0,stride:4,count:t.x.length}:e.xAttr={buffer:t.x.buffer,offset:4*t.x.offset||0,stride:4*(t.x.stride||1),count:t.x.count},t.y.length?e.yAttr={buffer:o.buffer(t.y),offset:0,stride:4,count:t.y.length}:e.yAttr={buffer:t.y.buffer,offset:4*t.y.offset||0,stride:4*(t.y.stride||1),count:t.y.count},e.count=Math.max(e.xAttr.count,e.yAttr.count),t;t=m(t,\"float64\");var c=e.count=Math.floor(t.length/2),f=e.bounds=c?l(t,2):null;if(r.range||e.range||(delete e.range,r.range=f),r.marker||e.marker||(delete e.marker,r.marker=null),n&&(!0===n||c>n)?e.tree=u(t,{bounds:f}):n&&n.length&&(e.tree=n),e.tree){var h={primitive:\"points\",usage:\"static\",data:e.tree,type:\"uint32\"};e.elements?e.elements(h):e.elements=o.elements(h)}var p=v.float32(t);return i({data:p,usage:\"dynamic\"}),a({data:v.fract32(t,p),usage:\"dynamic\"}),s({data:new Uint8Array(c),type:\"uint8\",usage:\"stream\"}),t}},{marker:function(e,r,n){var i=r.activation;if(i.forEach((function(t){return t&&t.destroy&&t.destroy()})),i.length=0,e&&\"number\"!=typeof e[0]){for(var a=[],s=0,l=Math.min(e.length,r.count);s<l;s++){var c=t.addMarker(e[s]);a[c]||(a[c]=new Uint8Array(r.count)),a[c][s]=1}for(var u=0;u<a.length;u++)if(a[u]){var f={data:a[u],type:\"uint8\",usage:\"static\"};i[u]?i[u](f):i[u]=o.buffer(f),i[u].data=a[u]}}else{i[t.addMarker(e)]=!0}return e},range:function(t,e,r){var n=e.bounds;if(n)return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=v.fract(e.scale),e.translateFract=v.fract(e.translate),t},viewport:function(t){return y(t||[a.drawingBufferWidth,a.drawingBufferHeight])}}]),g){var _=n,w=_.count,T=_.size,k=_.borderSize,A=_.sizeBuffer,M=new Uint8Array(2*w);if(T.length||k.length)for(var S=0;S<w;S++)M[2*S]=Math.round(255*(null==T[S]?T:T[S])/s),M[2*S+1]=Math.round(255*(null==k[S]?k:k[S])/s);A({data:M,usage:\"dynamic\"})}if(x){var E,L=n,C=L.count,P=L.color,I=L.borderColor,O=L.colorBuffer;if(t.tooManyColors){if(P.length||I.length){E=new Uint8Array(8*C);for(var z=0;z<C;z++){var D=P[z];E[8*z]=h[4*D],E[8*z+1]=h[4*D+1],E[8*z+2]=h[4*D+2],E[8*z+3]=h[4*D+3];var R=I[z];E[8*z+4]=h[4*R],E[8*z+5]=h[4*R+1],E[8*z+6]=h[4*R+2],E[8*z+7]=h[4*R+3]}}}else if(P.length||I.length){E=new Uint8Array(4*C+2);for(var F=0;F<C;F++)null!=P[F]&&(E[4*F]=P[F]%c,E[4*F+1]=Math.floor(P[F]/c)),null!=I[F]&&(E[4*F+2]=I[F]%c,E[4*F+3]=Math.floor(I[F]/c))}O({data:E||new Uint8Array(0),type:\"uint8\",usage:\"dynamic\"})}return n}))}},b.prototype.addMarker=function(t){var e,r=this.markerTextures,n=this.regl,i=this.markerCache,a=null==t?0:i.indexOf(t);if(a>=0)return a;if(t instanceof Uint8Array||t instanceof Uint8ClampedArray)e=t;else{e=new Uint8Array(t.length);for(var o=0,s=t.length;o<s;o++)e[o]=255*t[o]}var l=Math.floor(Math.sqrt(e.length));return a=r.length,i.push(t),r.push(n.texture({channels:1,data:e,radius:l,mag:\"linear\",min:\"linear\"})),a},b.prototype.updateColor=function(t){var e=this.paletteIds,r=this.palette,n=this.maxColors;Array.isArray(t)||(t=[t]);var i=[];if(\"number\"==typeof t[0]){var a=[];if(Array.isArray(t))for(var o=0;o<t.length;o+=4)a.push(t.slice(o,o+4));else for(var l=0;l<t.length;l+=4)a.push(t.subarray(l,l+4));t=a}for(var u=0;u<t.length;u++){var f=t[u];f=s(f,\"uint8\");var h=c(f,!1);if(null==e[h]){var p=r.length;e[h]=Math.floor(p/4),r[p]=f[0],r[p+1]=f[1],r[p+2]=f[2],r[p+3]=f[3]}i[u]=e[h]}return!this.tooManyColors&&r.length>4*n&&(this.tooManyColors=!0),this.updatePalette(r),1===i.length?i[0]:i},b.prototype.updatePalette=function(t){if(!this.tooManyColors){var e=this.maxColors,r=this.paletteTexture,n=Math.ceil(.25*t.length/e);if(n>1)for(var i=.25*(t=t.slice()).length%e;i<n*e;i++)t.push(0,0,0,0);r.height<n&&r.resize(e,n),r.subimage({width:Math.min(.25*t.length,e),height:n,data:t},0,0)}},b.prototype.destroy=function(){return this.groups.forEach((function(t){t.sizeBuffer.destroy(),t.positionBuffer.destroy(),t.positionFractBuffer.destroy(),t.colorBuffer.destroy(),t.activation.forEach((function(t){return t&&t.destroy&&t.destroy()})),t.selectionBuffer.destroy(),t.elements&&t.elements.destroy()})),this.groups.length=0,this.paletteTexture.destroy(),this.markerTextures.forEach((function(t){return t&&t.destroy&&t.destroy()})),this};var _=t(\"object-assign\");e.exports=function(t,e){var r=new x(t,e),n=r.render.bind(r);return _(n,{render:n,update:r.update.bind(r),draw:r.draw.bind(r),destroy:r.destroy.bind(r),regl:r.regl,gl:r.gl,canvas:r.gl.canvas,groups:r.groups,markers:r.markerCache,palette:r.palette}),n}},{\"@plotly/point-cluster\":59,\"array-bounds\":71,\"color-id\":87,\"color-normalize\":89,\"flatten-vertex-data\":191,glslify:227,\"is-iexplorer\":233,\"object-assign\":247,\"parse-rect\":249,\"pick-by-alias\":253,\"to-float32\":314,\"update-diff\":330}],283:[function(t,e,r){\"use strict\";var n=t(\"regl-scatter2d\"),i=t(\"pick-by-alias\"),a=t(\"array-bounds\"),o=t(\"raf\"),s=t(\"array-range\"),l=t(\"parse-rect\"),c=t(\"flatten-vertex-data\");function u(t,e){if(!(this instanceof u))return new u(t,e);this.traces=[],this.passes={},this.regl=t,this.scatter=n(t),this.canvas=this.scatter.canvas}function f(t,e,r){return(null!=t.id?t.id:t)<<16|(255&e)<<8|255&r}function h(t,e,r){var n,i,a,o,s=t[e],l=t[r];return s.length>2?(s[0],s[2],n=s[1],i=s[3]):s.length?(n=s[0],i=s[1]):(s.x,n=s.y,s.x+s.width,i=s.y+s.height),l.length>2?(a=l[0],o=l[2],l[1],l[3]):l.length?(a=l[0],o=l[1]):(a=l.x,l.y,o=l.x+l.width,l.y+l.height),[a,n,o,i]}function p(t){if(\"number\"==typeof t)return[t,t,t,t];if(2===t.length)return[t[0],t[1],t[0],t[1]];var e=l(t);return[e.x,e.y,e.x+e.width,e.y+e.height]}e.exports=u,u.prototype.render=function(){for(var t,e=this,r=[],n=arguments.length;n--;)r[n]=arguments[n];return r.length&&(t=this).update.apply(t,r),this.regl.attributes.preserveDrawingBuffer?this.draw():(this.dirty?null==this.planned&&(this.planned=o((function(){e.draw(),e.dirty=!0,e.planned=null}))):(this.draw(),this.dirty=!0,o((function(){e.dirty=!1}))),this)},u.prototype.update=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=0;n<e.length;n++)this.updateItem(n,e[n]);this.traces=this.traces.filter(Boolean);for(var i=[],a=0,o=0;o<this.traces.length;o++){for(var s=this.traces[o],l=this.traces[o].passes,c=0;c<l.length;c++)i.push(this.passes[l[c]]);s.passOffset=a,a+=s.passes.length}return(t=this.scatter).update.apply(t,i),this}},u.prototype.updateItem=function(t,e){var r=this.regl;if(null===e)return this.traces[t]=null,this;if(!e)return this;var n,o=i(e,{data:\"data items columns rows values dimensions samples x\",snap:\"snap cluster\",size:\"sizes size radius\",color:\"colors color fill fill-color fillColor\",opacity:\"opacity alpha transparency opaque\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",borderColor:\"borderColors borderColor bordercolor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range ranges databox dataBox\",viewport:\"viewport viewBox viewbox\",domain:\"domain domains area areas\",padding:\"pad padding paddings pads margin margins\",transpose:\"transpose transposed\",diagonal:\"diagonal diag showDiagonal\",upper:\"upper up top upperhalf upperHalf showupperhalf showUpper showUpperHalf\",lower:\"lower low bottom lowerhalf lowerHalf showlowerhalf showLowerHalf showLower\"}),s=this.traces[t]||(this.traces[t]={id:t,buffer:r.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array}),color:\"black\",marker:null,size:12,borderColor:\"transparent\",borderSize:1,viewport:l([r._gl.drawingBufferWidth,r._gl.drawingBufferHeight]),padding:[0,0,0,0],opacity:1,diagonal:!0,upper:!0,lower:!0});if(null!=o.color&&(s.color=o.color),null!=o.size&&(s.size=o.size),null!=o.marker&&(s.marker=o.marker),null!=o.borderColor&&(s.borderColor=o.borderColor),null!=o.borderSize&&(s.borderSize=o.borderSize),null!=o.opacity&&(s.opacity=o.opacity),o.viewport&&(s.viewport=l(o.viewport)),null!=o.diagonal&&(s.diagonal=o.diagonal),null!=o.upper&&(s.upper=o.upper),null!=o.lower&&(s.lower=o.lower),o.data){s.buffer(c(o.data)),s.columns=o.data.length,s.count=o.data[0].length,s.bounds=[];for(var u=0;u<s.columns;u++)s.bounds[u]=a(o.data[u],1)}o.range&&(s.range=o.range,n=s.range&&\"number\"!=typeof s.range[0]),o.domain&&(s.domain=o.domain);var d=!1;null!=o.padding&&(Array.isArray(o.padding)&&o.padding.length===s.columns&&\"number\"==typeof o.padding[o.padding.length-1]?(s.padding=o.padding.map(p),d=!0):s.padding=p(o.padding));var m=s.columns,g=s.count,v=s.viewport.width,y=s.viewport.height,x=s.viewport.x,b=s.viewport.y,_=v/m,w=y/m;s.passes=[];for(var T=0;T<m;T++)for(var k=0;k<m;k++)if((s.diagonal||k!==T)&&(s.upper||!(T>k))&&(s.lower||!(T<k))){var A=f(s.id,T,k),M=this.passes[A]||(this.passes[A]={});if(o.data&&(o.transpose?M.positions={x:{buffer:s.buffer,offset:k,count:g,stride:m},y:{buffer:s.buffer,offset:T,count:g,stride:m}}:M.positions={x:{buffer:s.buffer,offset:k*g,count:g},y:{buffer:s.buffer,offset:T*g,count:g}},M.bounds=h(s.bounds,T,k)),o.domain||o.viewport||o.data){var S=d?h(s.padding,T,k):s.padding;if(s.domain){var E=h(s.domain,T,k),L=E[0],C=E[1],P=E[2],I=E[3];M.viewport=[x+L*v+S[0],b+C*y+S[1],x+P*v-S[2],b+I*y-S[3]]}else M.viewport=[x+k*_+_*S[0],b+T*w+w*S[1],x+(k+1)*_-_*S[2],b+(T+1)*w-w*S[3]]}o.color&&(M.color=s.color),o.size&&(M.size=s.size),o.marker&&(M.marker=s.marker),o.borderSize&&(M.borderSize=s.borderSize),o.borderColor&&(M.borderColor=s.borderColor),o.opacity&&(M.opacity=s.opacity),o.range&&(M.range=n?h(s.range,T,k):s.range||M.bounds),s.passes.push(A)}return this},u.prototype.draw=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=[],i=0;i<e.length;i++)if(\"number\"==typeof e[i]){var a=this.traces[e[i]],o=a.passes,l=a.passOffset;n.push.apply(n,s(l,l+o.length))}else if(e[i].length){var c=e[i],u=this.traces[i],f=u.passes,h=u.passOffset;f=f.map((function(t,e){n[h+e]=c}))}(t=this.scatter).draw.apply(t,n)}else this.scatter.draw();return this},u.prototype.destroy=function(){return 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()+(e.year()<0?1:0))%4==3||t%4==-1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return(t=i.year())<0&&t++,i.day()+30*(i.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return 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e=Math.floor(t/400)+1;t-=400*(e-1),t+=t>15?16:0;var r=Math.floor(t/32)+1,n=t-32*(r-1)+1;return this.newDate(e<=0?e-1:e,r,n)}});var o={20:\"Fruitbat\",21:\"Anchovy\"};n.calendars.discworld=a},{\"../main\":347,\"object-assign\":247}],336:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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i=this._validate(t,e,r,n.local.invalidDate);return{yearType:(this.leapYear(i)?\"embolismic\":\"common\")+\" \"+[\"deficient\",\"regular\",\"complete\"][this.daysInYear(i)%10-3]}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t<=0?t+1:t,o=this.jdEpoch+this._delay1(a)+this._delay2(a)+r+1;if(e<7){for(var s=7;s<=this.monthsInYear(t);s++)o+=this.daysInMonth(t,s);for(s=1;s<e;s++)o+=this.daysInMonth(t,s)}else for(s=7;s<e;s++)o+=this.daysInMonth(t,s);return o},_delay1:function(t){var e=Math.floor((235*t-234)/19),r=12084+13753*e,n=29*e+Math.floor(r/25920);return o(3*(n+1),7)<3&&n++,n},_delay2:function(t){var e=this._delay1(t-1),r=this._delay1(t);return this._delay1(t+1)-r==356?2:r-e==382?1:0},fromJD:function(t){t=Math.floor(t)+.5;for(var e=Math.floor(98496*(t-this.jdEpoch)/35975351)-1;t>=this.toJD(-1===e?1:e+1,7,1);)e++;for(var r=t<this.toJD(e,1,1)?7:1;t>this.toJD(e,r,this.daysInMonth(e,r));)r++;var n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.hebrew=a},{\"../main\":347,\"object-assign\":247}],338:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Islamic\",jdEpoch:1948439.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Islamic\",epochs:[\"BH\",\"AH\"],monthNames:[\"Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' al-thani\",\"Jumada al-awwal\",\"Jumada al-thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-ahad\",\"Yawm al-ithnayn\",\"Yawm ath-thulaathaa'\",\"Yawm al-arbi'aa'\",\"Yawm al-kham\\u012bs\",\"Yawm al-jum'a\",\"Yawm as-sabt\"],dayNamesShort:[\"Aha\",\"Ith\",\"Thu\",\"Arb\",\"Kha\",\"Jum\",\"Sab\"],dayNamesMin:[\"Ah\",\"It\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!1}},leapYear:function(t){return(11*this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year()+14)%30<11},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return this.leapYear(t)?355:354},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),t=t<=0?t+1:t,(r=i.day())+Math.ceil(29.5*(e-1))+354*(t-1)+Math.floor((3+11*t)/30)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t)+.5;var e=Math.floor((30*(t-this.jdEpoch)+10646)/10631);e=e<=0?e-1:e;var r=Math.min(12,Math.ceil((t-29-this.toJD(e,1,1))/29.5)+1),n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.islamic=a},{\"../main\":347,\"object-assign\":247}],339:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Julian\",jdEpoch:1721423.5,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Julian\",epochs:[\"BC\",\"AD\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"mm/dd/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()<0?e.year()+1:e.year())%4==0},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),r=i.day(),t<0&&t++,e<=2&&(t--,e+=12),Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r-1524.5},fromJD:function(t){var e=Math.floor(t+.5)+1524,r=Math.floor((e-122.1)/365.25),n=Math.floor(365.25*r),i=Math.floor((e-n)/30.6001),a=i-Math.floor(i<14?1:13),o=r-Math.floor(a>2?4716:4715),s=e-n-Math.floor(30.6001*i);return o<=0&&o--,this.newDate(o,a,s)}}),n.calendars.julian=a},{\"../main\":347,\"object-assign\":247}],340:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}function s(t,e){return o(t-1,e)+1}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Mayan\",jdEpoch:584282.5,hasYearZero:!0,minMonth:0,firstMonth:0,minDay:0,regionalOptions:{\"\":{name:\"Mayan\",epochs:[\"\",\"\"],monthNames:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\"],monthNamesShort:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\"],dayNames:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],dayNamesShort:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],dayNamesMin:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],digits:null,dateFormat:\"YYYY.m.d\",firstDay:0,isRTL:!1,haabMonths:[\"Pop\",\"Uo\",\"Zip\",\"Zotz\",\"Tzec\",\"Xul\",\"Yaxkin\",\"Mol\",\"Chen\",\"Yax\",\"Zac\",\"Ceh\",\"Mac\",\"Kankin\",\"Muan\",\"Pax\",\"Kayab\",\"Cumku\",\"Uayeb\"],tzolkinMonths:[\"Imix\",\"Ik\",\"Akbal\",\"Kan\",\"Chicchan\",\"Cimi\",\"Manik\",\"Lamat\",\"Muluc\",\"Oc\",\"Chuen\",\"Eb\",\"Ben\",\"Ix\",\"Men\",\"Cib\",\"Caban\",\"Etznab\",\"Cauac\",\"Ahau\"]}},leapYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+\".\"+Math.floor(t/20)+\".\"+t%20},forYear:function(t){if((t=t.split(\".\")).length<3)throw\"Invalid Mayan year\";for(var e=0,r=0;r<t.length;r++){var n=parseInt(t[r],10);if(Math.abs(n)>19||r>0&&n<0)throw\"Invalid Mayan year\";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),!0},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate).toJD(),a=this._toHaab(i),o=this._toTzolkin(i);return{haabMonthName:this.local.haabMonths[a[0]-1],haabMonth:a[0],haabDay:a[1],tzolkinDayName:this.local.tzolkinMonths[o[0]-1],tzolkinDay:o[0],tzolkinTrecena:o[1]}},_toHaab:function(t){var e=o((t-=this.jdEpoch)+8+340,365);return[Math.floor(e/20)+1,o(e,20)]},_toTzolkin:function(t){return[s((t-=this.jdEpoch)+20,20),s(t+4,13)]},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return i.day()+20*i.month()+360*i.year()+this.jdEpoch},fromJD:function(t){t=Math.floor(t)+.5-this.jdEpoch;var e=Math.floor(t/360);t%=360,t+=t<0?360:0;var r=Math.floor(t/20),n=t%20;return this.newDate(e,r,n)}}),n.calendars.mayan=a},{\"../main\":347,\"object-assign\":247}],341:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar;var o=n.instance(\"gregorian\");i(a.prototype,{name:\"Nanakshahi\",jdEpoch:2257673.5,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Nanakshahi\",epochs:[\"BN\",\"AN\"],monthNames:[\"Chet\",\"Vaisakh\",\"Jeth\",\"Harh\",\"Sawan\",\"Bhadon\",\"Assu\",\"Katak\",\"Maghar\",\"Poh\",\"Magh\",\"Phagun\"],monthNamesShort:[\"Che\",\"Vai\",\"Jet\",\"Har\",\"Saw\",\"Bha\",\"Ass\",\"Kat\",\"Mgr\",\"Poh\",\"Mgh\",\"Pha\"],dayNames:[\"Somvaar\",\"Mangalvar\",\"Budhvaar\",\"Veervaar\",\"Shukarvaar\",\"Sanicharvaar\",\"Etvaar\"],dayNamesShort:[\"Som\",\"Mangal\",\"Budh\",\"Veer\",\"Shukar\",\"Sanichar\",\"Et\"],dayNamesMin:[\"So\",\"Ma\",\"Bu\",\"Ve\",\"Sh\",\"Sa\",\"Et\"],digits:null,dateFormat:\"dd-mm-yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear);return o.leapYear(e.year()+(e.year()<1?1:0)+1469)},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(1-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidMonth);(t=i.year())<0&&t++;for(var a=i.day(),s=1;s<i.month();s++)a+=this.daysPerMonth[s-1];return a+o.toJD(t+1468,3,13)},fromJD:function(t){t=Math.floor(t+.5);for(var e=Math.floor((t-(this.jdEpoch-1))/366);t>=this.toJD(e+1,1,1);)e++;for(var r=t-Math.floor(this.toJD(e,1,1)+.5)+1,n=1;r>this.daysInMonth(e,n);)r-=this.daysInMonth(e,n),n++;return this.newDate(e,n,r)}}),n.calendars.nanakshahi=a},{\"../main\":347,\"object-assign\":247}],342:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Nepali\",jdEpoch:1700709.5,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{\"\":{name:\"Nepali\",epochs:[\"BBS\",\"ABS\"],monthNames:[\"Baisakh\",\"Jestha\",\"Ashadh\",\"Shrawan\",\"Bhadra\",\"Ashwin\",\"Kartik\",\"Mangsir\",\"Paush\",\"Mangh\",\"Falgun\",\"Chaitra\"],monthNamesShort:[\"Bai\",\"Je\",\"As\",\"Shra\",\"Bha\",\"Ash\",\"Kar\",\"Mang\",\"Pau\",\"Ma\",\"Fal\",\"Chai\"],dayNames:[\"Aaitabaar\",\"Sombaar\",\"Manglbaar\",\"Budhabaar\",\"Bihibaar\",\"Shukrabaar\",\"Shanibaar\"],dayNamesShort:[\"Aaita\",\"Som\",\"Mangl\",\"Budha\",\"Bihi\",\"Shukra\",\"Shani\"],dayNamesMin:[\"Aai\",\"So\",\"Man\",\"Bu\",\"Bi\",\"Shu\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:1,isRTL:!1}},leapYear:function(t){return this.daysInYear(t)!==this.daysPerYear},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){if(t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),void 0===this.NEPALI_CALENDAR_DATA[t])return this.daysPerYear;for(var e=0,r=this.minMonth;r<=12;r++)e+=this.NEPALI_CALENDAR_DATA[t][r];return e},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),void 0===this.NEPALI_CALENDAR_DATA[t]?this.daysPerMonth[e-1]:this.NEPALI_CALENDAR_DATA[t][e]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=n.instance(),o=0,s=e,l=t;this._createMissingCalendarData(t);var c=t-(s>9||9===s&&r>=this.NEPALI_CALENDAR_DATA[l][0]?56:57);for(9!==e&&(o=r,s--);9!==s;)s<=0&&(s=12,l--),o+=this.NEPALI_CALENDAR_DATA[l][s],s--;return 9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=a.daysInYear(c)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(c,1,1).add(o,\"d\").toJD()},fromJD:function(t){var e=n.instance().fromJD(t),r=e.year(),i=e.dayOfYear(),a=r+56;this._createMissingCalendarData(a);for(var o=9,s=this.NEPALI_CALENDAR_DATA[a][0],l=this.NEPALI_CALENDAR_DATA[a][o]-s+1;i>l;)++o>12&&(o=1,a++),l+=this.NEPALI_CALENDAR_DATA[a][o];var c=this.NEPALI_CALENDAR_DATA[a][o]-(l-i);return this.newDate(a,o,c)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)void 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 682*((e.year()-(e.year()>0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t-(t>=0?474:473),s=474+o(a,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(a/2820)+this.jdEpoch-1},fromJD:function(t){var e=(t=Math.floor(t)+.5)-this.toJD(475,1,1),r=Math.floor(e/1029983),n=o(e,1029983),i=2820;if(1029982!==n){var a=Math.floor(n/366),s=o(n,366);i=Math.floor((2134*a+2816*s+2815)/1028522)+a+1}var l=i+2820*r+474;l=l<=0?l-1:l;var 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i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(i.year());return a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(i.year());return a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)},_g2tYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)}}),n.calendars.taiwan=o},{\"../main\":347,\"object-assign\":247}],345:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\"),a=n.instance();function 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(e.year());return a.leapYear(t)},weekOfYear:function(t,e,r){var i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(i.year());return a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(i.year());return a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)},_g2tYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)}}),n.calendars.thai=o},{\"../main\":347,\"object-assign\":247}],346:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"UmmAlQura\",hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Umm al-Qura\",epochs:[\"BH\",\"AH\"],monthNames:[\"Al-Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' Al-Thani\",\"Jumada Al-Awwal\",\"Jumada Al-Thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-Ahad\",\"Yawm al-Ithnain\",\"Yawm al-Thal\\u0101th\\u0101\\u2019\",\"Yawm al-Arba\\u2018\\u0101\\u2019\",\"Yawm al-Kham\\u012bs\",\"Yawm al-Jum\\u2018a\",\"Yawm al-Sabt\"],dayNamesMin:[\"Ah\",\"Ith\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!0}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 355===this.daysInYear(e.year())},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){for(var e=0,r=1;r<=12;r++)e+=this.daysInMonth(t,r);return e},daysInMonth:function(t,e){for(var r=this._validate(t,e,this.minDay,n.local.invalidMonth).toJD()-24e5+.5,i=0,a=0;a<o.length;a++){if(o[a]>r)return o[i]-o[i-1];i++}return 30},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate),a=12*(i.year()-1)+i.month()-15292;return i.day()+o[a-1]-1+24e5-.5},fromJD:function(t){for(var e=t-24e5+.5,r=0,n=0;n<o.length&&!(o[n]>e);n++)r++;var i=r+15292,a=Math.floor((i-1)/12),s=a+1,l=i-12*a,c=e-o[r-1]+1;return this.newDate(s,l,c)},isValid:function(t,e,r){var i=n.baseCalendar.prototype.isValid.apply(this,arguments);return i&&(i=(t=null!=t.year?t.year:t)>=1276&&t<=1500),i},_validate:function(t,e,r,i){var a=n.baseCalendar.prototype._validate.apply(this,arguments);if(a.year<1276||a.year>1500)throw i.replace(/\\{0\\}/,this.local.name);return a}}),n.calendars.ummalqura=a;var 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n=t(\"object-assign\");function i(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function o(t,e){return\"000000\".substring(0,e-(t=\"\"+t).length)+t}function s(){this.shortYearCutoff=\"+10\"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}n(i.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,i){return(n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,i):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+\"\").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",i=0;r>0;){var a=r%10;n=(0===a?\"\":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(a.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(c.local.differentCalendars||c.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+o(Math.abs(this.year()),4)+\"-\"+o(this.month(),2)+\"-\"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,\"d\"===r||\"w\"===r){var n=t.toJD()+e*(\"w\"===r?this.daysInWeek():1),i=t.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=t.year()+(\"y\"===r?e:0),o=t.monthOfYear()+(\"m\"===r?e:0);i=t.day();\"y\"===r?(t.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):\"m\"===r&&(!function(t){for(;o<t.minMonth;)a--,o+=t.monthsInYear(a);for(var e=t.monthsInYear(a);o>e-1+t.minMonth;)a++,o-=e,e=t.monthsInYear(a)}(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var s=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,s}catch(t){throw 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r,s,l=o(t,e),c=l.on,u=l.off.concat(l.explicitOff),f={},h=t._fullLayout.annotations;if(!c.length&&!u.length)return;for(r=0;r<c.length;r++)(s=a(t.layout,\"annotations\",h[c[r]])).modifyItem(\"visible\",!0),n.extendFlat(f,s.getUpdateObj());for(r=0;r<u.length;r++)(s=a(t.layout,\"annotations\",h[u[r]])).modifyItem(\"visible\",!1),n.extendFlat(f,s.getUpdateObj());return i.call(\"update\",t,{},f)}}},{\"../../lib\":515,\"../../plot_api/plot_template\":555,\"../../registry\":647}],353:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../color\");e.exports=function(t,e,r,a){a(\"opacity\");var o=a(\"bgcolor\"),s=a(\"bordercolor\"),l=i.opacity(s);a(\"borderpad\");var c=a(\"borderwidth\"),u=a(\"showarrow\");if(a(\"text\",u?\" \":r._dfltTitle.annotation),a(\"textangle\"),n.coerceFont(a,\"font\",r.font),a(\"width\"),a(\"align\"),a(\"height\")&&a(\"valign\"),u){var f,h,p=a(\"arrowside\");-1!==p.indexOf(\"end\")&&(f=a(\"arrowhead\"),h=a(\"arrowsize\")),-1!==p.indexOf(\"start\")&&(a(\"startarrowhead\",f),a(\"startarrowsize\",h)),a(\"arrowcolor\",l?e.bordercolor:i.defaultLine),a(\"arrowwidth\",2*(l&&c||1)),a(\"standoff\"),a(\"startstandoff\")}var d=a(\"hovertext\"),m=r.hoverlabel||{};if(d){var g=a(\"hoverlabel.bgcolor\",m.bgcolor||(i.opacity(o)?i.rgb(o):i.defaultLine)),v=a(\"hoverlabel.bordercolor\",m.bordercolor||i.contrast(g));n.coerceFont(a,\"hoverlabel.font\",{family:m.font.family,size:m.font.size,color:m.font.color||v})}a(\"captureevents\",!!d)}},{\"../../lib\":515,\"../color\":367}],354:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib/to_log_range\");e.exports=function(t,e,r,a){e=e||{};var o=\"log\"===r&&\"linear\"===e.type,s=\"linear\"===r&&\"log\"===e.type;if(o||s)for(var l,c,u=t._fullLayout.annotations,f=e._id.charAt(0),h=0;h<u.length;h++)l=u[h],c=\"annotations[\"+h+\"].\",l[f+\"ref\"]===e._id&&p(f),l[\"a\"+f+\"ref\"]===e._id&&p(\"a\"+f);function p(t){var r=l[t],s=null;s=o?i(r,e.range):Math.pow(10,r),n(s)||(s=null),a(c+t,s)}}},{\"../../lib/to_log_range\":543,\"fast-isnumeric\":190}],355:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../plots/cartesian/axes\"),a=t(\"../../plots/array_container_defaults\"),o=t(\"./common_defaults\"),s=t(\"./attributes\");function l(t,e,r){function a(r,i){return n.coerce(t,e,s,r,i)}var l=a(\"visible\"),c=a(\"clicktoshow\");if(l||c){o(t,e,r,a);for(var u=e.showarrow,f=[\"x\",\"y\"],h=[-10,-30],p={_fullLayout:r},d=0;d<2;d++){var m=f[d],g=i.coerceRef(t,e,p,m,\"\",\"paper\");if(\"paper\"!==g)i.getFromId(p,g)._annIndices.push(e._index);if(i.coercePosition(e,p,a,g,m,.5),u){var v=\"a\"+m,y=i.coerceRef(t,e,p,v,\"pixel\",[\"pixel\",\"paper\"]);\"pixel\"!==y&&y!==g&&(y=e[v]=\"pixel\");var 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r=t._fullLayout.annotations[e]||{},n=l.getFromId(t,r.xref),i=l.getFromId(t,r.yref);n&&n.setScale(),i&&i.setScale(),x(t,r,e,!1,n,i)}function y(t,e,r,n,i){var a=i[r],o=i[r+\"ref\"],s=-1!==r.indexOf(\"y\"),c=\"domain\"===l.getRefType(o),u=s?n.h:n.w;return t?c?a+(s?-e:e)/t._length:t.p2r(t.r2p(a)+e):a+(s?-e:e)/u}function x(t,e,r,a,v,x){var b,_,w=t._fullLayout,T=t._fullLayout._size,k=t._context.edits;a?(b=\"annotation-\"+a,_=a+\".annotations\"):(b=\"annotation\",_=\"annotations\");var A=m(t.layout,_,e),M=A.modifyBase,S=A.modifyItem,E=A.getUpdateObj;w._infolayer.selectAll(\".\"+b+'[data-index=\"'+r+'\"]').remove();var L=\"clip\"+w._uid+\"_ann\"+r;if(e._input&&!1!==e.visible){var C={x:{},y:{}},P=+e.textangle||0,I=w._infolayer.append(\"g\").classed(b,!0).attr(\"data-index\",String(r)).style(\"opacity\",e.opacity),O=I.append(\"g\").classed(\"annotation-text-g\",!0),z=k[e.showarrow?\"annotationTail\":\"annotationPosition\"],D=e.captureevents||k.annotationText||z,R=O.append(\"g\").style(\"pointer-events\",D?\"all\":null).call(p,\"pointer\").on(\"click\",(function(){t._dragging=!1,t.emit(\"plotly_clickannotation\",Y(n.event))}));e.hovertext&&R.on(\"mouseover\",(function(){var r=e.hoverlabel,n=r.font,i=this.getBoundingClientRect(),a=t.getBoundingClientRect();f.loneHover({x0:i.left-a.left,x1:i.right-a.left,y:(i.top+i.bottom)/2-a.top,text:e.hovertext,color:r.bgcolor,borderColor:r.bordercolor,fontFamily:n.family,fontSize:n.size,fontColor:n.color},{container:w._hoverlayer.node(),outerContainer:w._paper.node(),gd:t})})).on(\"mouseout\",(function(){f.loneUnhover(w._hoverlayer.node())}));var F=e.borderwidth,B=e.borderpad,N=F+B,j=R.append(\"rect\").attr(\"class\",\"bg\").style(\"stroke-width\",F+\"px\").call(c.stroke,e.bordercolor).call(c.fill,e.bgcolor),U=e.width||e.height,V=w._topclips.selectAll(\"#\"+L).data(U?[0]:[]);V.enter().append(\"clipPath\").classed(\"annclip\",!0).attr(\"id\",L).append(\"rect\"),V.exit().remove();var H=e.font,q=w._meta?o.templateString(e.text,w._meta):e.text,G=R.append(\"text\").classed(\"annotation-text\",!0).text(q);k.annotationText?G.call(h.makeEditable,{delegate:R,gd:t}).call(W).on(\"edit\",(function(r){e.text=r,this.call(W),S(\"text\",r),v&&v.autorange&&M(v._name+\".autorange\",!0),x&&x.autorange&&M(x._name+\".autorange\",!0),i.call(\"_guiRelayout\",t,E())})):G.call(W)}else n.selectAll(\"#\"+L).remove();function Y(t){var n={index:r,annotation:e._input,fullAnnotation:e,event:t};return a&&(n.subplotId=a),n}function W(r){return r.call(u.font,H).attr({\"text-anchor\":{left:\"start\",right:\"end\"}[e.align]||\"middle\"}),h.convertToTspans(r,t,Z),r}function Z(){var r=G.selectAll(\"a\");1===r.size()&&r.text()===G.text()&&R.insert(\"a\",\":first-child\").attr({\"xlink:xlink:href\":r.attr(\"xlink:href\"),\"xlink:xlink:show\":r.attr(\"xlink:show\")}).style({cursor:\"pointer\"}).node().appendChild(j.node());var n=R.select(\".annotation-text-math-group\"),f=!n.empty(),m=u.bBox((f?n:G).node()),b=m.width,_=m.height,A=e.width||b,D=e.height||_,B=Math.round(A+2*N),H=Math.round(D+2*N);function q(t,e){return\"auto\"===e&&(e=t<1/3?\"left\":t>2/3?\"right\":\"center\"),{center:0,middle:0,left:.5,bottom:-.5,right:-.5,top:.5}[e]}for(var W=!1,Z=[\"x\",\"y\"],X=0;X<Z.length;X++){var J,K,Q,$,tt,et=Z[X],rt=e[et+\"ref\"]||et,nt=e[\"a\"+et+\"ref\"],it={x:v,y:x}[et],at=(P+(\"x\"===et?0:-90))*Math.PI/180,ot=B*Math.cos(at),st=H*Math.sin(at),lt=Math.abs(ot)+Math.abs(st),ct=e[et+\"anchor\"],ut=e[et+\"shift\"]*(\"x\"===et?1:-1),ft=C[et],ht=l.getRefType(rt);if(it&&\"domain\"!==ht){var pt=it.r2fraction(e[et]);(pt<0||pt>1)&&(nt===rt?((pt=it.r2fraction(e[\"a\"+et]))<0||pt>1)&&(W=!0):W=!0),J=it._offset+it.r2p(e[et]),$=.5}else{var dt=\"domain\"===ht;\"x\"===et?(Q=e[et],J=dt?it._offset+it._length*Q:J=T.l+T.w*Q):(Q=1-e[et],J=dt?it._offset+it._length*Q:J=T.t+T.h*Q),$=e.showarrow?.5:Q}if(e.showarrow){ft.head=J;var mt=e[\"a\"+et];if(tt=ot*q(.5,e.xanchor)-st*q(.5,e.yanchor),nt===rt){var gt=l.getRefType(nt);\"domain\"===gt?(\"y\"===et&&(mt=1-mt),ft.tail=it._offset+it._length*mt):\"paper\"===gt?\"y\"===et?(mt=1-mt,ft.tail=T.t+T.h*mt):ft.tail=T.l+T.w*mt:ft.tail=it._offset+it.r2p(mt),K=tt}else ft.tail=J+mt,K=tt+mt;ft.text=ft.tail+tt;var vt=w[\"x\"===et?\"width\":\"height\"];if(\"paper\"===rt&&(ft.head=o.constrain(ft.head,1,vt-1)),\"pixel\"===nt){var yt=-Math.max(ft.tail-3,ft.text),xt=Math.min(ft.tail+3,ft.text)-vt;yt>0?(ft.tail+=yt,ft.text+=yt):xt>0&&(ft.tail-=xt,ft.text-=xt)}ft.tail+=ut,ft.head+=ut}else K=tt=lt*q($,ct),ft.text=J+tt;ft.text+=ut,tt+=ut,K+=ut,e[\"_\"+et+\"padplus\"]=lt/2+K,e[\"_\"+et+\"padminus\"]=lt/2-K,e[\"_\"+et+\"size\"]=lt,e[\"_\"+et+\"shift\"]=tt}if(W)R.remove();else{var bt=0,_t=0;if(\"left\"!==e.align&&(bt=(A-b)*(\"center\"===e.align?.5:1)),\"top\"!==e.valign&&(_t=(D-_)*(\"middle\"===e.valign?.5:1)),f)n.select(\"svg\").attr({x:N+bt-1,y:N+_t}).call(u.setClipUrl,U?L:null,t);else{var wt=N+_t-m.top,Tt=N+bt-m.left;G.call(h.positionText,Tt,wt).call(u.setClipUrl,U?L:null,t)}V.select(\"rect\").call(u.setRect,N,N,A,D),j.call(u.setRect,F/2,F/2,B-F,H-F),R.call(u.setTranslate,Math.round(C.x.text-B/2),Math.round(C.y.text-H/2)),O.attr({transform:\"rotate(\"+P+\",\"+C.x.text+\",\"+C.y.text+\")\"});var kt,At=function(r,n){I.selectAll(\".annotation-arrow-g\").remove();var l=C.x.head,f=C.y.head,h=C.x.tail+r,p=C.y.tail+n,m=C.x.text+r,b=C.y.text+n,_=o.rotationXYMatrix(P,m,b),w=o.apply2DTransform(_),A=o.apply2DTransform2(_),L=+j.attr(\"width\"),z=+j.attr(\"height\"),D=m-.5*L,F=D+L,B=b-.5*z,N=B+z,U=[[D,B,D,N],[D,N,F,N],[F,N,F,B],[F,B,D,B]].map(A);if(!U.reduce((function(t,e){return t^!!o.segmentsIntersect(l,f,l+1e6,f+1e6,e[0],e[1],e[2],e[3])}),!1)){U.forEach((function(t){var e=o.segmentsIntersect(h,p,l,f,t[0],t[1],t[2],t[3]);e&&(h=e.x,p=e.y)}));var V=e.arrowwidth,H=e.arrowcolor,q=e.arrowside,G=I.append(\"g\").style({opacity:c.opacity(H)}).classed(\"annotation-arrow-g\",!0),Y=G.append(\"path\").attr(\"d\",\"M\"+h+\",\"+p+\"L\"+l+\",\"+f).style(\"stroke-width\",V+\"px\").call(c.stroke,c.rgb(H));if(g(Y,q,e),k.annotationPosition&&Y.node().parentNode&&!a){var W=l,Z=f;if(e.standoff){var X=Math.sqrt(Math.pow(l-h,2)+Math.pow(f-p,2));W+=e.standoff*(h-l)/X,Z+=e.standoff*(p-f)/X}var J,K,Q=G.append(\"path\").classed(\"annotation-arrow\",!0).classed(\"anndrag\",!0).classed(\"cursor-move\",!0).attr({d:\"M3,3H-3V-3H3ZM0,0L\"+(h-W)+\",\"+(p-Z),transform:s(W,Z)}).style(\"stroke-width\",V+6+\"px\").call(c.stroke,\"rgba(0,0,0,0)\").call(c.fill,\"rgba(0,0,0,0)\");d.init({element:Q.node(),gd:t,prepFn:function(){var t=u.getTranslate(R);J=t.x,K=t.y,v&&v.autorange&&M(v._name+\".autorange\",!0),x&&x.autorange&&M(x._name+\".autorange\",!0)},moveFn:function(t,r){var n=w(J,K),i=n[0]+t,a=n[1]+r;R.call(u.setTranslate,i,a),S(\"x\",y(v,t,\"x\",T,e)),S(\"y\",y(x,r,\"y\",T,e)),e.axref===e.xref&&S(\"ax\",y(v,t,\"ax\",T,e)),e.ayref===e.yref&&S(\"ay\",y(x,r,\"ay\",T,e)),G.attr(\"transform\",s(t,r)),O.attr({transform:\"rotate(\"+P+\",\"+i+\",\"+a+\")\"})},doneFn:function(){i.call(\"_guiRelayout\",t,E());var e=document.querySelector(\".js-notes-box-panel\");e&&e.redraw(e.selectedObj)}})}}};if(e.showarrow&&At(0,0),z)d.init({element:R.node(),gd:t,prepFn:function(){kt=O.attr(\"transform\")},moveFn:function(t,r){var n=\"pointer\";if(e.showarrow)e.axref===e.xref?S(\"ax\",y(v,t,\"ax\",T,e)):S(\"ax\",e.ax+t),e.ayref===e.yref?S(\"ay\",y(x,r,\"ay\",T.w,e)):S(\"ay\",e.ay+r),At(t,r);else{if(a)return;var i,o;if(v)i=y(v,t,\"x\",T,e);else{var l=e._xsize/T.w,c=e.x+(e._xshift-e.xshift)/T.w-l/2;i=d.align(c+t/T.w,l,0,1,e.xanchor)}if(x)o=y(x,r,\"y\",T,e);else{var u=e._ysize/T.h,f=e.y-(e._yshift+e.yshift)/T.h-u/2;o=d.align(f-r/T.h,u,0,1,e.yanchor)}S(\"x\",i),S(\"y\",o),v&&x||(n=d.getCursor(v?.5:i,x?.5:o,e.xanchor,e.yanchor))}O.attr({transform:s(t,r)+kt}),p(R,n)},clickFn:function(r,n){e.captureevents&&t.emit(\"plotly_clickannotation\",Y(n))},doneFn:function(){p(R),i.call(\"_guiRelayout\",t,E());var e=document.querySelector(\".js-notes-box-panel\");e&&e.redraw(e.selectedObj)}})}}}e.exports={draw:function(t){var e=t._fullLayout;e._infolayer.selectAll(\".annotation\").remove();for(var r=0;r<e.annotations.length;r++)e.annotations[r].visible&&v(t,r);return a.previousPromises(t)},drawOne:v,drawRaw:x}},{\"../../lib\":515,\"../../lib/setcursor\":536,\"../../lib/svg_text_utils\":541,\"../../plot_api/plot_template\":555,\"../../plots/cartesian/axes\":566,\"../../plots/plots\":628,\"../../registry\":647,\"../color\":367,\"../dragelement\":386,\"../drawing\":389,\"../fx\":407,\"./draw_arrow_head\":357,\"@plotly/d3\":58}],357:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../color\"),a=t(\"./arrow_paths\"),o=t(\"../../lib\"),s=o.strScale,l=o.strRotate,c=o.strTranslate;e.exports=function(t,e,r){var o,u,f,h,p=t.node(),d=a[r.arrowhead||0],m=a[r.startarrowhead||0],g=(r.arrowwidth||1)*(r.arrowsize||1),v=(r.arrowwidth||1)*(r.startarrowsize||1),y=e.indexOf(\"start\")>=0,x=e.indexOf(\"end\")>=0,b=d.backoff*g+r.standoff,_=m.backoff*v+r.startstandoff;if(\"line\"===p.nodeName){o={x:+t.attr(\"x1\"),y:+t.attr(\"y1\")},u={x:+t.attr(\"x2\"),y:+t.attr(\"y2\")};var w=o.x-u.x,T=o.y-u.y;if(h=(f=Math.atan2(T,w))+Math.PI,b&&_&&b+_>Math.sqrt(w*w+T*T))return void z();if(b){if(b*b>w*w+T*T)return void z();var k=b*Math.cos(f),A=b*Math.sin(f);u.x+=k,u.y+=A,t.attr({x2:u.x,y2:u.y})}if(_){if(_*_>w*w+T*T)return void z();var M=_*Math.cos(f),S=_*Math.sin(f);o.x-=M,o.y-=S,t.attr({x1:o.x,y1:o.y})}}else if(\"path\"===p.nodeName){var E=p.getTotalLength(),L=\"\";if(E<b+_)return void z();var C=p.getPointAtLength(0),P=p.getPointAtLength(.1);f=Math.atan2(C.y-P.y,C.x-P.x),o=p.getPointAtLength(Math.min(_,E)),L=\"0px,\"+_+\"px,\";var 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n=t(\"./draw\"),i=t(\"./click\");e.exports={moduleType:\"component\",name:\"annotations\",layoutAttributes:t(\"./attributes\"),supplyLayoutDefaults:t(\"./defaults\"),includeBasePlot:t(\"../../plots/cartesian/include_components\")(\"annotations\"),calcAutorange:t(\"./calc_autorange\"),draw:n.draw,drawOne:n.drawOne,drawRaw:n.drawRaw,hasClickToShow:i.hasClickToShow,onClick:i.onClick,convertCoords:t(\"./convert_coords\")}},{\"../../plots/cartesian/include_components\":577,\"./attributes\":350,\"./calc_autorange\":351,\"./click\":352,\"./convert_coords\":354,\"./defaults\":355,\"./draw\":356}],359:[function(t,e,r){\"use strict\";var 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n=t(\"@plotly/d3\"),i=t(\"tinycolor2\"),a=t(\"../../plots/plots\"),o=t(\"../../registry\"),s=t(\"../../plots/cartesian/axes\"),l=t(\"../dragelement\"),c=t(\"../../lib\"),u=c.strTranslate,f=t(\"../../lib/extend\").extendFlat,h=t(\"../../lib/setcursor\"),p=t(\"../drawing\"),d=t(\"../color\"),m=t(\"../titles\"),g=t(\"../../lib/svg_text_utils\"),v=t(\"../colorscale/helpers\").flipScale,y=t(\"../../plots/cartesian/axis_defaults\"),x=t(\"../../plots/cartesian/position_defaults\"),b=t(\"../../plots/cartesian/layout_attributes\"),_=t(\"../../constants/alignment\"),w=_.LINE_SPACING,T=_.FROM_TL,k=_.FROM_BR,A=t(\"./constants\").cn;e.exports={draw:function(t){var e=t._fullLayout._infolayer.selectAll(\"g.\"+A.colorbar).data(function(t){var e,r,n,i,a=t._fullLayout,o=t.calcdata,s=[];function l(t){return f(t,{_fillcolor:null,_line:{color:null,width:null,dash:null},_levels:{start:null,end:null,size:null},_filllevels:null,_fillgradient:null,_zrange:null})}function c(){\"function\"==typeof 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r=n.select(this);c.ensureSingle(r,\"rect\",A.cbbg),c.ensureSingle(r,\"g\",A.cbfills),c.ensureSingle(r,\"g\",A.cblines),c.ensureSingle(r,\"g\",A.cbaxis,(function(t){t.classed(A.crisp,!0)})),c.ensureSingle(r,\"g\",A.cbtitleunshift,(function(t){t.append(\"g\").classed(A.cbtitle,!0)})),c.ensureSingle(r,\"rect\",A.cboutline);var v=function(t,e,r){var o=\"v\"===e.orientation,l=e.len,h=e.lenmode,v=e.thickness,_=e.thicknessmode,M=e.outlinewidth,S=e.borderwidth,E=e.bgcolor,L=e.xanchor,C=e.yanchor,P=e.xpad,I=e.ypad,O=e.x,z=o?e.y:1-e.y,D=r._fullLayout,R=D._size,F=e._fillcolor,B=e._line,N=e.title,j=N.side,U=e._zrange||n.extent((\"function\"==typeof F?F:B.color).domain()),V=\"function\"==typeof B.color?B.color:function(){return B.color},H=\"function\"==typeof F?F:function(){return F},q=e._levels,G=function(t,e,r){var n,i,a=e._levels,o=[],s=[],l=a.end+a.size/100,c=a.size,u=1.001*r[0]-.001*r[1],f=1.001*r[1]-.001*r[0];for(i=0;i<1e5&&(n=a.start+i*c,!(c>0?n>=l:n<=l));i++)n>u&&n<f&&o.push(n);if(e._fillgradient)s=[0];else if(\"function\"==typeof e._fillcolor){var h=e._filllevels;if(h)for(l=h.end+h.size/100,c=h.size,i=0;i<1e5&&(n=h.start+i*c,!(c>0?n>=l:n<=l));i++)n>r[0]&&n<r[1]&&s.push(n);else(s=o.map((function(t){return t-a.size/2}))).push(s[s.length-1]+a.size)}else e._fillcolor&&\"string\"==typeof e._fillcolor&&(s=[0]);a.size<0&&(o.reverse(),s.reverse());return{line:o,fill:s}}(0,e,U),Y=G.fill,W=G.line,Z=Math.round(v*(\"fraction\"===_?o?R.w:R.h:1)),X=Z/(o?R.w:R.h),J=Math.round(l*(\"fraction\"===h?o?R.h:R.w:1)),K=J/(o?R.h:R.w),Q=Math.round(o?O*R.w+P:z*R.h+I),$={center:.5,right:1}[L]||0,tt={top:1,middle:.5}[C]||0,et=o?O-$*X:z-tt*X,rt=o?z-tt*K:O-$*K,nt=Math.round(o?R.h*(1-rt):R.w*rt);e._lenFrac=K,e._thickFrac=X,e._uFrac=et,e._vFrac=rt;var it=e._axis=function(t,e,r){var n=t._fullLayout,i=\"v\"===e.orientation,a={type:\"linear\",range:r,tickmode:e.tickmode,nticks:e.nticks,tick0:e.tick0,dtick:e.dtick,tickvals:e.tickvals,ticktext:e.ticktext,ticks:e.ticks,ticklen:e.ticklen,tickwidth:e.tickwidth,tickcolor:e.tickcolor,showticklabels:e.showticklabels,ticklabelposition:e.ticklabelposition,ticklabeloverflow:e.ticklabeloverflow,ticklabelstep:e.ticklabelstep,tickfont:e.tickfont,tickangle:e.tickangle,tickformat:e.tickformat,exponentformat:e.exponentformat,minexponent:e.minexponent,separatethousands:e.separatethousands,showexponent:e.showexponent,showtickprefix:e.showtickprefix,tickprefix:e.tickprefix,showticksuffix:e.showticksuffix,ticksuffix:e.ticksuffix,title:e.title,showline:!0,anchor:\"free\",side:i?\"right\":\"bottom\",position:1},o=i?\"y\":\"x\",s={type:\"linear\",_id:o+e._id},l={letter:o,font:n.font,noHover:!0,noTickson:!0,noTicklabelmode:!0,calendar:n.calendar};function u(t,e){return c.coerce(a,s,b,t,e)}return 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a,l=t.select(\".\"+A.cbtitle),f=l.select(\"text\"),h=[-M/2,M/2],d=l.select(\".h\"+it._id+\"title-math-group\").node(),m=15.6;if(f.node()&&(m=parseInt(f.node().style.fontSize,10)*w),d?(a=p.bBox(d),gt=a.width,(mt=a.height)>m&&(h[1]-=(mt-m)/2)):f.node()&&!f.classed(A.jsPlaceholder)&&(a=p.bBox(f.node()),gt=a.width,mt=a.height),o){if(mt){if(mt+=5,\"top\"===j)it.domain[1]-=mt/R.h,h[1]*=-1;else{it.domain[0]+=mt/R.h;var v=g.lineCount(f);h[1]+=(1-v)*m}l.attr(\"transform\",u(h[0],h[1])),it.setScale()}}else gt&&(\"right\"===j&&(it.domain[0]+=(gt+pt/2)/R.w),l.attr(\"transform\",u(h[0],h[1])),it.setScale())}t.selectAll(\".\"+A.cbfills+\",.\"+A.cblines).attr(\"transform\",o?u(0,Math.round(R.h*(1-it.domain[1]))):u(Math.round(R.w*it.domain[0]),0)),dt.attr(\"transform\",o?u(0,Math.round(-R.t)):u(Math.round(-R.l),0));var y=t.select(\".\"+A.cbfills).selectAll(\"rect.\"+A.cbfill).attr(\"style\",\"\").data(Y);y.enter().append(\"rect\").classed(A.cbfill,!0).style(\"stroke\",\"none\"),y.exit().remove();var x=U.map(it.c2p).map(Math.round).sort((function(t,e){return t-e}));y.each((function(t,a){var s=[0===a?U[0]:(Y[a]+Y[a-1])/2,a===Y.length-1?U[1]:(Y[a]+Y[a+1])/2].map(it.c2p).map(Math.round);o&&(s[1]=c.constrain(s[1]+(s[1]>s[0])?1:-1,x[0],x[1]));var l=n.select(this).attr(o?\"x\":\"y\",Q).attr(o?\"y\":\"x\",n.min(s)).attr(o?\"width\":\"height\",Math.max(Z,2)).attr(o?\"height\":\"width\",Math.max(n.max(s)-n.min(s),2));if(e._fillgradient)p.gradient(l,r,e._id,o?\"vertical\":\"horizontalreversed\",e._fillgradient,\"fill\");else{var u=H(t).replace(\"e-\",\"\");l.attr(\"fill\",i(u).toHexString())}}));var b=t.select(\".\"+A.cblines).selectAll(\"path.\"+A.cbline).data(B.color&&B.width?W:[]);b.enter().append(\"path\").classed(A.cbline,!0),b.exit().remove(),b.each((function(t){var e=Q,r=Math.round(it.c2p(t))+B.width/2%1;n.select(this).attr(\"d\",\"M\"+(o?e+\",\"+r:r+\",\"+e)+(o?\"h\":\"v\")+Z).call(p.lineGroupStyle,B.width,V(t),B.dash)})),dt.selectAll(\"g.\"+it._id+\"tick,path\").remove();var 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n,s=Z+M/2;-1===ht.indexOf(\"inside\")&&(n=p.bBox(dt.node()),s+=o?n.width:n.height),ut=ft.select(\"text\");var c=0,f=o&&\"top\"===j,m=!o&&\"right\"===j,g=0;if(ut.node()&&!ut.classed(A.jsPlaceholder)){var y,x=ft.select(\".h\"+it._id+\"title-math-group\").node();x&&(o&&at||!o&&!at)?(c=(n=p.bBox(x)).width,y=n.height):(c=(n=p.bBox(ft.node())).right-R.l-(o?Q:nt),y=n.bottom-R.t-(o?nt:Q),o||\"top\"!==j||(s+=n.height,g=n.height)),m&&(ut.attr(\"transform\",u(c/2+pt/2,0)),c*=2),s=Math.max(s,o?c:y)}var b=2*(o?P:I)+s+S+M/2,w=0;!o&&N.text&&\"bottom\"===C&&z<=0&&(b+=w=b/2,g+=w),D._hColorbarMoveTitle=w,D._hColorbarMoveCBTitle=g;var F=S+M;t.select(\".\"+A.cbbg).attr(\"x\",(o?Q:nt)-F/2-(o?P:0)).attr(\"y\",(o?nt:Q)-(o?J:I+g-w)).attr(o?\"width\":\"height\",Math.max(b-w,2)).attr(o?\"height\":\"width\",Math.max(J+F,2)).call(d.fill,E).call(d.stroke,e.bordercolor).style(\"stroke-width\",S);var B=m?Math.max(c-10,0):0;if(t.selectAll(\".\"+A.cboutline).attr(\"x\",(o?Q:nt+P)+B).attr(\"y\",(o?nt+I-J:Q)+(f?mt:0)).attr(o?\"width\":\"height\",Math.max(Z,2)).attr(o?\"height\":\"width\",Math.max(J-(o?2*I+mt:2*P+B),2)).call(d.stroke,e.outlinecolor).style({fill:\"none\",\"stroke-width\":M}),t.attr(\"transform\",u(R.l-(o?$*b:0),R.t-(o?0:(1-tt)*b-g))),!o&&(S||i(E).getAlpha()&&!i.equals(D.paper_bgcolor,E))){var U=dt.selectAll(\"text\"),V=U[0].length,H=t.select(\".\"+A.cbbg).node(),q=p.bBox(H),G=p.getTranslate(t);U.each((function(t,e){var r=V-1;if(0===e||e===r){var n,i=p.bBox(this),a=p.getTranslate(this);if(e===r){var o=i.right+a.x;(n=q.right+G.x+nt-S-2+O-o)>0&&(n=0)}else if(0===e){var s=i.left+a.x;(n=q.left+G.x+nt+S+2-s)<0&&(n=0)}n&&(V<3?this.setAttribute(\"transform\",\"translate(\"+n+\",0) \"+this.getAttribute(\"transform\")):this.setAttribute(\"visibility\",\"hidden\"))}}))}var Y={},W=T[L],X=k[L],K=T[C],et=k[C],rt=b-Z;o?(\"pixels\"===h?(Y.y=z,Y.t=J*K,Y.b=J*et):(Y.t=Y.b=0,Y.yt=z+l*K,Y.yb=z-l*et),\"pixels\"===_?(Y.x=O,Y.l=b*W,Y.r=b*X):(Y.l=rt*W,Y.r=rt*X,Y.xl=O-v*W,Y.xr=O+v*X)):(\"pixels\"===h?(Y.x=O,Y.l=J*W,Y.r=J*X):(Y.l=Y.r=0,Y.xl=O+l*W,Y.xr=O-l*X),\"pixels\"===_?(Y.y=1-z,Y.t=b*K,Y.b=b*et):(Y.t=rt*K,Y.b=rt*et,Y.yt=z-v*K,Y.yb=z+v*et)),a.autoMargin(r,e._id,Y)}],r)}(r,e,t);v&&v.then&&(t._promises||[]).push(v),t._context.edits.colorbarPosition&&function(t,e,r){var n,i,a,s=\"v\"===e.orientation,c=r._fullLayout._size;l.init({element:t.node(),gd:r,prepFn:function(){n=t.attr(\"transform\"),h(t)},moveFn:function(r,o){t.attr(\"transform\",n+u(r,o)),i=l.align((s?e._uFrac:e._vFrac)+r/c.w,s?e._thickFrac:e._lenFrac,0,1,e.xanchor),a=l.align((s?e._vFrac:1-e._uFrac)-o/c.h,s?e._lenFrac:e._thickFrac,0,1,e.yanchor);var f=l.getCursor(i,a,e.xanchor,e.yanchor);h(t,f)},doneFn:function(){if(h(t),void 0!==i&&void 0!==a){var n={};n[e._propPrefix+\"x\"]=i,n[e._propPrefix+\"y\"]=a,void 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t=n.select(this),e=h.tester.append(\"text\").text(t.text()).call(h.font,m),i=V(r,e.node());Math.round(i.width)<Math.round(y.width)&&t.attr(\"x\",B-i.width),e.remove()}))}else u.positionText(l,C*(S+M),R),O=null;var N=i._topclips.selectAll(\"#\"+F).data(O?[0]:[]);N.enter().append(\"clipPath\").attr(\"id\",F).append(\"path\"),N.exit().remove(),N.select(\"path\").attr(\"d\",O),h.setClipUrl(l,O?F:null,r)}t.attr(\"transform\",s(g,v))})),v.isUnifiedHover(a)){d.selectAll(\"g.hovertext\").remove();var G=t.filter((function(t){return\"none\"!==t.hoverinfo}));if(0===G.length)return;var Y=i.hoverlabel,W=Y.font,Z={showlegend:!0,legend:{title:{text:I,font:W},font:W,bgcolor:Y.bgcolor,bordercolor:Y.bordercolor,borderwidth:1,tracegroupgap:7,traceorder:i.legend?i.legend.traceorder:void 0,orientation:\"v\"}},X={font:W};x(Z,X,r._fullData);var J=X.legend;J.entries=[];for(var K=0;K<G.length;K++){var Q=G[K];if(\"none\"!==Q.hoverinfo){var $=O(Q,!0,a,i,I),tt=$[0],et=$[1];Q.name=et,Q.text=\"\"!==et?et+\" : 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r=t.index,n=t.trace||{},a=t.cd[0],s=t.cd[r]||{};function l(t){return t||i(t)&&0===t}var c=Array.isArray(r)?function(t,e){var i=o.castOption(a,r,t);return l(i)?i:o.extractOption({},n,\"\",e)}:function(t,e){return o.extractOption(s,n,t,e)};function u(e,r,n){var i=c(r,n);l(i)&&(t[e]=i)}if(u(\"hoverinfo\",\"hi\",\"hoverinfo\"),u(\"bgcolor\",\"hbg\",\"hoverlabel.bgcolor\"),u(\"borderColor\",\"hbc\",\"hoverlabel.bordercolor\"),u(\"fontFamily\",\"htf\",\"hoverlabel.font.family\"),u(\"fontSize\",\"hts\",\"hoverlabel.font.size\"),u(\"fontColor\",\"htc\",\"hoverlabel.font.color\"),u(\"nameLength\",\"hnl\",\"hoverlabel.namelength\"),u(\"textAlign\",\"hta\",\"hoverlabel.align\"),t.posref=\"y\"===e||\"closest\"===e&&\"h\"===n.orientation?t.xa._offset+(t.x0+t.x1)/2:t.ya._offset+(t.y0+t.y1)/2,t.x0=o.constrain(t.x0,0,t.xa._length),t.x1=o.constrain(t.x1,0,t.xa._length),t.y0=o.constrain(t.y0,0,t.ya._length),t.y1=o.constrain(t.y1,0,t.ya._length),void 0!==t.xLabelVal&&(t.xLabel=\"xLabel\"in 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w=\"top\";l.isBottomAnchor(r)&&(b-=h,w=\"bottom\");l.isMiddleAnchor(r)&&(b-=h/2,w=\"middle\");f=Math.ceil(f),h=Math.ceil(h),x=Math.round(x),b=Math.round(b),a.autoMargin(t,i+\"-range-selector\",{x:r.x,y:r.y,l:f*d[_],r:f*m[_],b:h*m[w],t:h*d[w]}),o.attr(\"transform\",c(x,b))}(t,h,f,o._name,r)}))}},{\"../../constants/alignment\":483,\"../../lib\":515,\"../../lib/svg_text_utils\":541,\"../../plots/cartesian/axis_ids\":570,\"../../plots/plots\":628,\"../../registry\":647,\"../color\":367,\"../drawing\":389,\"./constants\":434,\"./get_update_object\":437,\"@plotly/d3\":58}],437:[function(t,e,r){\"use strict\";var n=t(\"d3-time\"),i=t(\"../../lib\").titleCase;e.exports=function(t,e){var r=t._name,a={};if(\"all\"===e.step)a[r+\".autorange\"]=!0;else{var o=function(t,e){var r,a=t.range,o=new Date(t.r2l(a[1])),s=e.step,l=n[\"utc\"+i(s)],c=e.count;switch(e.stepmode){case\"backward\":r=t.l2r(+l.offset(o,-c));break;case\"todate\":var u=l.offset(o,-c);r=t.l2r(+l.ceil(u))}var 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A.style(\"pointer-events\",k?\"all\":\"none\");T[k]=A}var L=T[0];T[1].node().addEventListener(\"click\",(function(){return function(t,e){if(!h(t))return;var r=+e.node().getAttribute(\"data-index\");if(r>=0){if(r===t._fullLayout._activeSelectionIndex)return void m(t);t._fullLayout._activeSelectionIndex=r,t._fullLayout._deactivateSelection=m,f(t)}}(t,L)}))}(t._fullLayout._selectionLayer)}function d(t,e,r){var n=r.xref+r.yref;s.setClipUrl(t,\"clip\"+e._fullLayout._uid+n,e)}function m(t){h(t)&&(t._fullLayout._activeSelectionIndex>=0&&(a(t),delete t._fullLayout._activeSelectionIndex,f(t)))}e.exports={draw:f,drawOne:p,activateLastSelection:function(t){if(!h(t))return;var e=t._fullLayout.selections.length-1;t._fullLayout._activeSelectionIndex=e,t._fullLayout._deactivateSelection=m,f(t)}}},{\"../../plot_api/plot_template\":555,\"../color\":367,\"../drawing\":389,\"../shapes/display_outlines\":461,\"../shapes/draw_newshape/helpers\":466,\"../shapes/handle_outline\":468,\"../shapes/helpers\":469}],451:[function(t,e,r){\"use strict\";var n=t(\"../../drawing/attributes\").dash,i=t(\"../../../lib/extend\").extendFlat;e.exports={newselection:{mode:{valType:\"enumerated\",values:[\"immediate\",\"gradual\"],dflt:\"immediate\",editType:\"none\"},line:{color:{valType:\"color\",editType:\"none\"},width:{valType:\"number\",min:1,dflt:1,editType:\"none\"},dash:i({},n,{dflt:\"dot\",editType:\"none\"}),editType:\"none\"},editType:\"none\"},activeselection:{fillcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"none\"},opacity:{valType:\"number\",min:0,max:1,dflt:.5,editType:\"none\"},editType:\"none\"}}},{\"../../../lib/extend\":505,\"../../drawing/attributes\":388}],452:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){r(\"newselection.mode\"),r(\"newselection.line.width\")&&(r(\"newselection.line.color\"),r(\"newselection.line.dash\")),r(\"activeselection.fillcolor\"),r(\"activeselection.opacity\")}},{}],453:[function(t,e,r){\"use strict\";var n=t(\"../../dragelement/helpers\").selectMode,i=t(\"../../shapes/handle_outline\").clearOutline,a=t(\"../../shapes/draw_newshape/helpers\"),o=a.readPaths,s=a.writePaths,l=a.fixDatesForPaths;e.exports=function(t,e){if(t.length){var r=t[0][0];if(r){var a=r.getAttribute(\"d\"),c=e.gd,u=c._fullLayout.newselection,f=e.plotinfo,h=f.xaxis,p=f.yaxis,d=e.isActiveSelection,m=e.dragmode,g=(c.layout||{}).selections||[];if(!n(m)&&void 0!==d){var v=c._fullLayout._activeSelectionIndex;if(v<g.length)switch(c._fullLayout.selections[v].type){case\"rect\":m=\"select\";break;case\"path\":m=\"lasso\"}}var y,x=o(a,c,f,d),b={xref:h._id,yref:p._id,opacity:u.opacity,line:{color:u.line.color,width:u.line.width,dash:u.line.dash}};1===x.length&&(y=x[0]),y&&5===y.length&&\"select\"===m?(b.type=\"rect\",b.x0=y[0][1],b.y0=y[0][2],b.x1=y[2][1],b.y1=y[2][2]):(b.type=\"path\",h&&p&&l(x,h,p),b.path=s(x),y=null),i(c);for(var _=e.editHelpers,w=(_||{}).modifyItem,T=[],k=0;k<g.length;k++){var 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n=t(\"./draw\"),i=t(\"./select\");e.exports={moduleType:\"component\",name:\"selections\",layoutAttributes:t(\"./attributes\"),supplyLayoutDefaults:t(\"./defaults\"),supplyDrawNewSelectionDefaults:t(\"./draw_newselection/defaults\"),includeBasePlot:t(\"../../plots/cartesian/include_components\")(\"selections\"),draw:n.draw,drawOne:n.drawOne,reselect:i.reselect,prepSelect:i.prepSelect,clearOutline:i.clearOutline,clearSelectionsCache:i.clearSelectionsCache,selectOnClick:i.selectOnClick}},{\"../../plots/cartesian/include_components\":577,\"./attributes\":447,\"./defaults\":449,\"./draw\":450,\"./draw_newselection/defaults\":452,\"./select\":456}],456:[function(t,e,r){\"use strict\";var n=t(\"polybooljs\"),i=t(\"point-in-polygon/nested\"),a=t(\"../../registry\"),o=t(\"../drawing\").dashStyle,s=t(\"../color\"),l=t(\"../fx\"),c=t(\"../fx/helpers\").makeEventData,u=t(\"../dragelement/helpers\"),f=u.freeMode,h=u.rectMode,p=u.drawMode,d=u.openMode,m=u.selectMode,g=t(\"../shapes/helpers\"),v=t(\"../shapes/constants\"),y=t(\"../shapes/display_outlines\"),x=t(\"../shapes/handle_outline\").clearOutline,b=t(\"../shapes/draw_newshape/helpers\"),_=b.handleEllipse,w=b.readPaths,T=t(\"../shapes/draw_newshape/newshapes\"),k=t(\"./draw_newselection/newselections\"),A=t(\"./draw\").activateLastSelection,M=t(\"../../lib\"),S=M.sorterAsc,E=t(\"../../lib/polygon\"),L=t(\"../../lib/throttle\"),C=t(\"../../plots/cartesian/axis_ids\").getFromId,P=t(\"../../lib/clear_gl_canvases\"),I=t(\"../../plot_api/subroutines\").redrawReglTraces,O=t(\"./constants\"),z=O.MINSELECT,D=E.filter,R=E.tester,F=t(\"./helpers\"),B=F.p2r,N=F.axValue,j=F.getTransform;function U(t){return void 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r=t._fullLayout.shapes[e]||{},n=t._fullLayout._plots[r.xref+r.yref];return!!n?n._hadPlotinfo=!0:(n={},r.xref&&\"paper\"!==r.xref&&(n.xaxis=t._fullLayout[r.xref+\"axis\"]),r.yref&&\"paper\"!==r.yref&&(n.yaxis=t._fullLayout[r.yref+\"axis\"])),n.xsizemode=r.xsizemode,n.ysizemode=r.ysizemode,n.xanchor=r.xanchor,n.yanchor=r.yanchor,{options:r,plotinfo:n}},r.makeSelectionsOptionsAndPlotinfo=function(t,e){var r=t._fullLayout.selections[e]||{},n=t._fullLayout._plots[r.xref+r.yref];return!!n?n._hadPlotinfo=!0:(n={},r.xref&&(n.xaxis=t._fullLayout[r.xref+\"axis\"]),r.yref&&(n.yaxis=t._fullLayout[r.yref+\"axis\"])),{options:r,plotinfo:n}},r.getPathString=function(t,e){var o,s,l,c,u,f,h,p,d=e.type,m=a.getRefType(e.xref),g=a.getRefType(e.yref),v=a.getFromId(t,e.xref),y=a.getFromId(t,e.yref),x=t._fullLayout._size;if(v?\"domain\"===m?s=function(t){return v._offset+v._length*t}:(o=r.shapePositionToRange(v),s=function(t){return v._offset+v.r2p(o(t,!0))}):s=function(t){return 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n=t(\"../../plots/font_attributes\"),i=t(\"../../plots/pad_attributes\"),a=t(\"../../lib/extend\").extendDeepAll,o=t(\"../../plot_api/edit_types\").overrideAll,s=t(\"../../plots/animation_attributes\"),l=t(\"../../plot_api/plot_template\").templatedArray,c=t(\"./constants\"),u=l(\"step\",{visible:{valType:\"boolean\",dflt:!0},method:{valType:\"enumerated\",values:[\"restyle\",\"relayout\",\"animate\",\"update\",\"skip\"],dflt:\"restyle\"},args:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},label:{valType:\"string\"},value:{valType:\"string\"},execute:{valType:\"boolean\",dflt:!0}});e.exports=o(l(\"slider\",{visible:{valType:\"boolean\",dflt:!0},active:{valType:\"number\",min:0,dflt:0},steps:u,lenmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"fraction\"},len:{valType:\"number\",min:0,dflt:1},x:{valType:\"number\",min:-2,max:3,dflt:0},pad:a(i({editType:\"arraydraw\"}),{},{t:{dflt:20}}),xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\"},y:{valType:\"number\",min:-2,max:3,dflt:0},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"top\"},transition:{duration:{valType:\"number\",min:0,dflt:150},easing:{valType:\"enumerated\",values:s.transition.easing.values,dflt:\"cubic-in-out\"}},currentvalue:{visible:{valType:\"boolean\",dflt:!0},xanchor:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],dflt:\"left\"},offset:{valType:\"number\",dflt:10},prefix:{valType:\"string\"},suffix:{valType:\"string\"},font:n({})},font:n({}),activebgcolor:{valType:\"color\",dflt:c.gripBgActiveColor},bgcolor:{valType:\"color\",dflt:c.railBgColor},bordercolor:{valType:\"color\",dflt:c.railBorderColor},borderwidth:{valType:\"number\",min:0,dflt:c.railBorderWidth},ticklen:{valType:\"number\",min:0,dflt:c.tickLength},tickcolor:{valType:\"color\",dflt:c.tickColor},tickwidth:{valType:\"number\",min:0,dflt:1},minorticklen:{valType:\"number\",min:0,dflt:c.minorTickLength}}),\"arraydraw\",\"from-root\")},{\"../../lib/extend\":505,\"../../plot_api/edit_types\":548,\"../../plot_api/plot_template\":555,\"../../plots/animation_attributes\":560,\"../../plots/font_attributes\":594,\"../../plots/pad_attributes\":627,\"./constants\":472}],472:[function(t,e,r){\"use 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L=(m+.5)/84;e.maskBreaks(i*(1-L)+L*p)!==I&&d++}(h*=d/84)||(t[n].drop=!0),s&&u>A&&(h=u)}(h>0||0===n)&&(t[n].periodX=i+h/2)}}(C,t,t._definedDelta),t.rangebreaks){var at=\"y\"===t._id.charAt(0),ot=1;\"auto\"===t.tickmode&&(ot=t.tickfont?t.tickfont.size:12);var st=NaN;for(r=C.length-1;r>-1;r--)if(C[r].drop)C.splice(r,1);else{C[r].value=It(C[r].value,t);var lt=t.c2p(C[r].value);(at?st>lt-ot:st<lt+ot)?C.splice(f?r+1:r,1):st=lt}}Pt(t)&&360===Math.abs(u[1]-u[0])&&C.pop(),t._tmax=(C[C.length-1]||{}).value,t._prevDateHead=\"\",t._inCalcTicks=!0;var ct,ut,ft=function(e){e.text=\"\",t._prevDateHead=n};for(C=C.concat(P),r=0;r<C.length;r++){var ht=C[r].minor,pt=C[r].value;ht?L.push({x:pt,minor:!0}):(n=t._prevDateHead,ct=q.tickText(t,pt,!1,C[r].simpleLabel),void 0!==(ut=C[r].periodX)&&(ct.periodX=ut,(ut>p||ut<h)&&(ut>p&&(ct.periodX=p),ut<h&&(ct.periodX=h),ft(ct))),C[r].skipLabel&&ft(ct),m.push(ct))}return m=m.concat(L),t._inCalcTicks=!1,c&&m.length&&(m[0].noTick=!0),m};var 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l=Math.max(Math.abs(s[0]),Math.abs(s[1])),c=Math.floor(Math.log(l)/Math.LN10+.01),u=void 0===t.minexponent?3:t.minexponent;Math.abs(c)>u&&(mt(t.exponentformat)&&!gt(c)?t._tickexponent=3*Math.round((c-1)/3):t._tickexponent=c)}else t._tickround=null}function pt(t,e,r){var n=t.tickfont||{};return{x:e,dx:0,dy:0,text:r||\"\",fontSize:n.size,font:n.family,fontColor:n.color}}q.autoTicks=function(t,e,r){var n;function a(t){return Math.pow(t,Math.floor(Math.log(e)/Math.LN10))}if(\"date\"===t.type){t.tick0=s.dateTick0(t.calendar,0);var o=2*e;if(o>v)e/=v,n=a(10),t.dtick=\"M\"+12*ft(e,n,it);else if(o>T)e/=T,t.dtick=\"M\"+ft(e,1,at);else if(o>M){if(t.dtick=ft(e,M,t._hasDayOfWeekBreaks?[1,2,7,14]:st),!r){var l=q.getTickFormat(t),c=\"period\"===t.ticklabelmode;c&&(t._rawTick0=t.tick0),/%[uVW]/.test(l)?t.tick0=s.dateTick0(t.calendar,2):t.tick0=s.dateTick0(t.calendar,1),c&&(t._dowTick0=t.tick0)}}else o>E?t.dtick=ft(e,E,at):o>L?t.dtick=ft(e,L,ot):o>C?t.dtick=ft(e,C,ot):(n=a(10),t.dtick=ft(e,n,it))}else if(\"log\"===t.type){t.tick0=0;var u=s.simpleMap(t.range,t.r2l);if(t._isMinor&&(e*=1.5),e>.7)t.dtick=Math.ceil(e);else if(Math.abs(u[1]-u[0])<1){var f=1.5*Math.abs((u[1]-u[0])/e);e=Math.abs(Math.pow(10,u[1])-Math.pow(10,u[0]))/f,n=a(10),t.dtick=\"L\"+ft(e,n,it)}else t.dtick=e>.3?\"D2\":\"D1\"}else\"category\"===t.type||\"multicategory\"===t.type?(t.tick0=0,t.dtick=Math.ceil(Math.max(e,1))):Pt(t)?(t.tick0=0,n=1,t.dtick=ft(e,n,ut)):(t.tick0=0,n=a(10),t.dtick=ft(e,n,it));if(0===t.dtick&&(t.dtick=1),!i(t.dtick)&&\"string\"!=typeof t.dtick){var h=t.dtick;throw t.dtick=1,\"ax.dtick error: \"+String(h)}},q.tickIncrement=function(t,e,r,a){var o=r?-1:1;if(i(e))return s.increment(t,o*e);var l=e.charAt(0),c=o*Number(e.substr(1));if(\"M\"===l)return s.incrementMonth(t,c,a);if(\"L\"===l)return Math.log(Math.pow(10,t)+c)/Math.LN10;if(\"D\"===l){var u=\"D2\"===e?ct:lt,f=t+.01*o,h=s.roundUp(s.mod(f,1),u,r);return Math.floor(f)+Math.log(n.round(Math.pow(10,h),1))/Math.LN10}throw\"unrecognized dtick 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d=String(e.text).charAt(0);\"0\"!==d&&\"1\"!==d||(\"y\"===t._id.charAt(0)?e.dx-=e.fontSize/4:(e.dy+=e.fontSize/2,e.dx+=(t.range[1]>t.range[0]?1:-1)*e.fontSize*(l<0?.5:.25)))}}(t,o,0,c,m):\"category\"===u?function(t,e){var r=t._categories[Math.round(e.x)];void 0===r&&(r=\"\");e.text=String(r)}(t,o):\"multicategory\"===u?function(t,e,r){var n=Math.round(e.x),i=t._categories[n]||[],a=void 0===i[1]?\"\":String(i[1]),o=void 0===i[0]?\"\":String(i[0]);r?e.text=o+\" - \"+a:(e.text=a,e.text2=o)}(t,o,r):Pt(t)?function(t,e,r,n,i){if(\"radians\"!==t.thetaunit||r)e.text=vt(e.x,t,i,n);else{var a=e.x/180;if(0===a)e.text=\"0\";else{var o=function(t){function e(t,e){return Math.abs(t-e)<=1e-6}var r=function(t){for(var r=1;!e(Math.round(t*r)/r,t);)r*=10;return r}(t),n=t*r,i=Math.abs(function t(r,n){return e(n,0)?r:t(n,r%n)}(n,r));return[Math.round(n/i),Math.round(r/i)]}(a);if(o[1]>=100)e.text=vt(s.deg2rad(e.x),t,i,n);else{var 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a=r[n].yaxis;X[a._id]=a}J=Z(V),K=Z(X),it=D(J,v),at=D(K,m),ot=!at&&!it,nt=Y(t,t._fullLayout._axisMatchGroups,V,X);var o=(rt=Y(t,t._fullLayout._axisConstraintGroups,V,X,nt)).isSubplotConstrained||nt.isSubplotConstrained;st=v||o,lt=m||o;var s=t._fullLayout;ct=s._has(\"scattergl\"),ut=s._has(\"splom\"),ft=s._has(\"svg\")}yt();var xt=function(t,e,r){if(!t)return\"pointer\";if(\"nsew\"===t)return r?\"\":\"pan\"===e?\"move\":\"crosshair\";return t.toLowerCase()+\"-resize\"}(at+it,t._fullLayout.dragmode,gt),bt=z(e,m+v+\"drag\",xt,r,s,c,f);if(ot&&!gt)return bt.onmousedown=null,bt.style.pointerEvents=\"none\",bt;var _t,wt,Tt,kt,At,Mt,St,Et,Lt,Ct,Pt={element:bt,gd:t,plotinfo:e};function It(){Pt.plotinfo.selection=!1,M(t)}function Ot(t,r){var i=Pt.gd;if(i._fullLayout._activeShapeIndex>=0)i._fullLayout._deactivateShape(i);else{var o=i._fullLayout.clickmode;if(H(i),2!==t||vt||qt(),gt)o.indexOf(\"select\")>-1&&S(r,i,J,K,e.id,Pt),o.indexOf(\"event\")>-1&&p.click(i,r,e.id);else if(1===t&&vt){var s=m?O:I,c=\"s\"===m||\"w\"===v?0:1,f=s._name+\".range[\"+c+\"]\",h=function(t,e){var r,n=t.range[e],i=Math.abs(n-t.range[1-e]);return\"date\"===t.type?n:\"log\"===t.type?(r=Math.ceil(Math.max(0,-Math.log(i)/Math.LN10))+3,a(\".\"+r+\"g\")(Math.pow(10,n))):(r=Math.floor(Math.log(Math.abs(n))/Math.LN10)-Math.floor(Math.log(i)/Math.LN10)+4,a(\".\"+String(r)+\"g\")(n))}(s,c),d=\"left\",g=\"middle\";if(s.fixedrange)return;m?(g=\"n\"===m?\"top\":\"bottom\",\"right\"===s.side&&(d=\"right\")):\"e\"===v&&(d=\"right\"),i._context.showAxisRangeEntryBoxes&&n.select(bt).call(u.makeEditable,{gd:i,immediate:!0,background:i._fullLayout.paper_bgcolor,text:String(h),fill:s.tickfont?s.tickfont.color:\"#444\",horizontalAlign:d,verticalAlign:g}).on(\"edit\",(function(t){var e=s.d2r(t);void 0!==e&&l.call(\"_guiRelayout\",i,f,e)}))}}}function zt(e,r){if(t._transitioningWithDuration)return!1;var n=Math.max(0,Math.min(tt,pt*e+_t)),i=Math.max(0,Math.min(et,dt*r+wt)),a=Math.abs(n-_t),o=Math.abs(i-wt);function s(){St=\"\",Tt.r=Tt.l,Tt.t=Tt.b,Lt.attr(\"d\",\"M0,0Z\")}if(Tt.l=Math.min(_t,n),Tt.r=Math.max(_t,n),Tt.t=Math.min(wt,i),Tt.b=Math.max(wt,i),rt.isSubplotConstrained)a>P||o>P?(St=\"xy\",a/tt>o/et?(o=a*et/tt,wt>i?Tt.t=wt-o:Tt.b=wt+o):(a=o*tt/et,_t>n?Tt.l=_t-a:Tt.r=_t+a),Lt.attr(\"d\",G(Tt))):s();else if(nt.isSubplotConstrained)if(a>P||o>P){St=\"xy\";var l=Math.min(Tt.l/tt,(et-Tt.b)/et),c=Math.max(Tt.r/tt,(et-Tt.t)/et);Tt.l=l*tt,Tt.r=c*tt,Tt.b=(1-l)*et,Tt.t=(1-c)*et,Lt.attr(\"d\",G(Tt))}else s();else!at||o<Math.min(Math.max(.6*a,C),P)?a<C||!it?s():(Tt.t=0,Tt.b=et,St=\"x\",Lt.attr(\"d\",function(t,e){return\"M\"+(t.l-.5)+\",\"+(e-P-.5)+\"h-3v\"+(2*P+1)+\"h3ZM\"+(t.r+.5)+\",\"+(e-P-.5)+\"h3v\"+(2*P+1)+\"h-3Z\"}(Tt,wt))):!it||a<Math.min(.6*o,P)?(Tt.l=0,Tt.r=tt,St=\"y\",Lt.attr(\"d\",function(t,e){return\"M\"+(e-P-.5)+\",\"+(t.t-.5)+\"v-3h\"+(2*P+1)+\"v3ZM\"+(e-P-.5)+\",\"+(t.b+.5)+\"v3h\"+(2*P+1)+\"v-3Z\"}(Tt,_t))):(St=\"xy\",Lt.attr(\"d\",G(Tt)));Tt.w=Tt.r-Tt.l,Tt.h=Tt.b-Tt.t,St&&(Ct=!0),t._dragged=Ct,U(Et,Lt,Tt,At,Mt,kt),Dt(),t.emit(\"plotly_relayouting\",ht),Mt=!0}function Dt(){ht={},\"xy\"!==St&&\"x\"!==St||(R(J,Tt.l/tt,Tt.r/tt,ht,rt.xaxes),Vt(\"x\",ht)),\"xy\"!==St&&\"y\"!==St||(R(K,(et-Tt.b)/et,(et-Tt.t)/et,ht,rt.yaxes),Vt(\"y\",ht))}function Rt(){Dt(),H(t),Gt(),q(t)}Pt.prepFn=function(e,r,n){var a=Pt.dragmode,s=t._fullLayout.dragmode;s!==a&&(Pt.dragmode=s),yt(),pt=t._fullLayout._invScaleX,dt=t._fullLayout._invScaleY,ot||(gt?e.shiftKey?\"pan\"===s?s=\"zoom\":y(s)||(s=\"pan\"):e.ctrlKey&&(s=\"pan\"):s=\"pan\"),x(s)?Pt.minDrag=1:Pt.minDrag=void 0,y(s)?(Pt.xaxes=J,Pt.yaxes=K,A(e,r,n,Pt,s)):(Pt.clickFn=Ot,y(a)&&It(),ot||(\"zoom\"===s?(Pt.moveFn=zt,Pt.doneFn=Rt,Pt.minDrag=1,function(e,r,n){var a=bt.getBoundingClientRect();_t=r-a.left,wt=n-a.top,t._fullLayout._calcInverseTransform(t);var s=i.apply3DTransform(t._fullLayout._invTransform)(_t,wt);_t=s[0],wt=s[1],Tt={l:_t,r:_t,w:0,t:wt,b:wt,h:0},kt=t._hmpixcount?t._hmlumcount/t._hmpixcount:o(t._fullLayout.plot_bgcolor).getLuminance(),Mt=!1,St=\"xy\",Ct=!1,Et=N(mt,kt,Q,$,At=\"M0,0H\"+tt+\"V\"+et+\"H0V0\"),Lt=j(mt,Q,$)}(0,r,n)):\"pan\"===s&&(Pt.moveFn=Ut,Pt.doneFn=Gt))),t._fullLayout._redrag=function(){var e=t._dragdata;if(e&&e.element===bt){var r=t._fullLayout.dragmode;y(r)||(yt(),Yt([0,0,tt,et]),Pt.moveFn(e.dx,e.dy))}}},g.init(Pt);var Ft=[0,0,tt,et],Bt=null,Nt=L.REDRAWDELAY,jt=e.mainplot?t._fullLayout._plots[e.mainplot]:e;function Ut(e,r){if(e*=pt,r*=dt,!t._transitioningWithDuration){if(t._fullLayout._replotting=!0,\"ew\"===it||\"ns\"===at){var n=it?-e:0,i=at?-r:0;if(nt.isSubplotConstrained){if(it&&at){var a=(e/tt-r/et)/2;n=-(e=a*tt),i=-(r=-a*et)}at?n=-i*tt/et:i=-n*et/tt}return it&&(F(J,e),Vt(\"x\")),at&&(F(K,r),Vt(\"y\")),Yt([n,i,tt,et]),Ht(),void t.emit(\"plotly_relayouting\",ht)}var o,s,l=\"w\"===it==(\"n\"===at)?1:-1;if(it&&at&&(rt.isSubplotConstrained||nt.isSubplotConstrained)){var c=(e/tt+l*r/et)/2;e=c*tt,r=l*c*et}if(\"w\"===it?e=p(J,0,e):\"e\"===it?e=p(J,1,-e):it||(e=0),\"n\"===at?r=p(K,1,r):\"s\"===at?r=p(K,0,-r):at||(r=0),o=\"w\"===it?e:0,s=\"n\"===at?r:0,rt.isSubplotConstrained&&!nt.isSubplotConstrained||nt.isSubplotConstrained&&it&&at&&l>0){var u;if(nt.isSubplotConstrained||!it&&1===at.length){for(u=0;u<J.length;u++)J[u].range=J[u]._r.slice(),E(J[u],1-r/et);o=(e=r*tt/et)/2}if(nt.isSubplotConstrained||!at&&1===it.length){for(u=0;u<K.length;u++)K[u].range=K[u]._r.slice(),E(K[u],1-e/tt);s=(r=e*et/tt)/2}}nt.isSubplotConstrained&&at||Vt(\"x\"),nt.isSubplotConstrained&&it||Vt(\"y\");var f=tt-e,h=et-r;!nt.isSubplotConstrained||it&&at||(it?(s=o?0:e*et/tt,h=f*et/tt):(o=s?0:r*tt/et,f=h*tt/et)),Yt([o,s,f,h]),Ht(),t.emit(\"plotly_relayouting\",ht)}function p(t,e,r){for(var n,i,a=1-e,o=0;o<t.length;o++){var s=t[o];if(!s.fixedrange){n=s,i=s._rl[a]+(s._rl[e]-s._rl[a])/B(r/s._length);var l=s.l2r(i);!1!==l&&void 0!==l&&(s.range[e]=l)}}return n._length*(n._rl[e]-i)/(n._rl[e]-n._rl[a])}}function Vt(t,e){for(var r=nt.isSubplotConstrained?{x:K,y:J}[t]:nt[t+\"axes\"],n=nt.isSubplotConstrained?{x:J,y:K}[t]:[],i=0;i<r.length;i++){var a=r[i],o=a._id,s=nt.xLinks[o]||nt.yLinks[o],l=n[0]||V[s]||X[s];l&&(e?(e[a._name+\".range[0]\"]=e[l._name+\".range[0]\"],e[a._name+\".range[1]\"]=e[l._name+\".range[1]\"]):a.range=l.range.slice())}}function Ht(){var e,r=[];function n(t){for(e=0;e<t.length;e++)t[e].fixedrange||r.push(t[e]._id)}for(st&&(n(J),n(rt.xaxes),n(nt.xaxes)),lt&&(n(K),n(rt.yaxes),n(nt.yaxes)),ht={},e=0;e<r.length;e++){var i=r[e],a=k(t,i);d.drawOne(t,a,{skipTitle:!0}),ht[a._name+\".range[0]\"]=a.range[0],ht[a._name+\".range[1]\"]=a.range[1]}d.redrawComponents(t,r)}function qt(){if(!t._transitioningWithDuration){var e=t._context.doubleClick,r=[];it&&(r=r.concat(J)),at&&(r=r.concat(K)),nt.xaxes&&(r=r.concat(nt.xaxes)),nt.yaxes&&(r=r.concat(nt.yaxes));var n,i,a,o={};if(\"reset+autosize\"===e)for(e=\"autosize\",i=0;i<r.length;i++)if((n=r[i])._rangeInitial&&(n.range[0]!==n._rangeInitial[0]||n.range[1]!==n._rangeInitial[1])||!n._rangeInitial&&!n.autorange){e=\"reset\";break}if(\"autosize\"===e)for(i=0;i<r.length;i++)(n=r[i]).fixedrange||(o[n._name+\".autorange\"]=!0);else if(\"reset\"===e)for((it||rt.isSubplotConstrained)&&(r=r.concat(rt.xaxes)),at&&!rt.isSubplotConstrained&&(r=r.concat(rt.yaxes)),rt.isSubplotConstrained&&(it?at||(r=r.concat(K)):r=r.concat(J)),i=0;i<r.length;i++)(n=r[i]).fixedrange||(n._rangeInitial?(a=n._rangeInitial,o[n._name+\".range[0]\"]=a[0],o[n._name+\".range[1]\"]=a[1]):o[n._name+\".autorange\"]=!0);t.emit(\"plotly_doubleclick\",null),l.call(\"_guiRelayout\",t,o)}}function Gt(){Yt([0,0,tt,et]),i.syncOrAsync([T.previousPromises,function(){t._fullLayout._replotting=!1,l.call(\"_guiRelayout\",t,ht)}],t)}function Yt(e){var r,n,a,o,s=t._fullLayout,c=s._plots,u=s._subplots.cartesian;if(ut&&l.subplotsRegistry.splom.drag(t),ct)for(r=0;r<u.length;r++)if(a=(n=c[u[r]]).xaxis,o=n.yaxis,n._scene){var f=i.simpleMap(a.range,a.r2l),p=i.simpleMap(o.range,o.r2l);n._scene.update({range:[f[0],p[0],f[1],p[1]]})}if((ut||ct)&&(_(t),w(t)),ft){var d=e[2]/I._length,g=e[3]/O._length;for(r=0;r<u.length;r++){a=(n=c[u[r]]).xaxis,o=n.yaxis;var y,x,b,T,k=(st||nt.isSubplotConstrained)&&!a.fixedrange&&V[a._id],A=(lt||nt.isSubplotConstrained)&&!o.fixedrange&&X[o._id];if(k?(y=d,b=v||nt.isSubplotConstrained?e[0]:Xt(a,y)):nt.xaHash[a._id]?(y=d,b=e[0]*a._length/I._length):nt.yaHash[a._id]?(y=g,b=\"ns\"===at?-e[1]*a._length/O._length:Xt(a,y,{n:\"top\",s:\"bottom\"}[at])):b=Zt(a,y=Wt(a,d,g)),A?(x=g,T=m||nt.isSubplotConstrained?e[1]:Xt(o,x)):nt.yaHash[o._id]?(x=g,T=e[1]*o._length/O._length):nt.xaHash[o._id]?(x=d,T=\"ew\"===it?-e[0]*o._length/I._length:Xt(o,x,{e:\"right\",w:\"left\"}[it])):T=Zt(o,x=Wt(o,d,g)),y||x){y||(y=1),x||(x=1);var M=a._offset-b/y,S=o._offset-T/x;n.clipRect.call(h.setTranslate,b,T).call(h.setScale,y,x),n.plot.call(h.setTranslate,M,S).call(h.setScale,1/y,1/x),y===n.xScaleFactor&&x===n.yScaleFactor||(h.setPointGroupScale(n.zoomScalePts,y,x),h.setTextPointsScale(n.zoomScaleTxt,y,x)),h.hideOutsideRangePoints(n.clipOnAxisFalseTraces,n),n.xScaleFactor=y,n.yScaleFactor=x}}}}function Wt(t,e,r){return t.fixedrange?0:st&&rt.xaHash[t._id]?e:lt&&(rt.isSubplotConstrained?rt.xaHash:rt.yaHash)[t._id]?r:0}function Zt(t,e){return e?(t.range=t._r.slice(),E(t,e),Xt(t,e)):0}function Xt(t,e,r){return t._length*(1-e)*b[r||t.constraintoward||\"middle\"]}return m.length*v.length!=1&&W(bt,(function(e){if(t._context._scrollZoom.cartesian||t._fullLayout._enablescrollzoom){if(It(),t._transitioningWithDuration)return e.preventDefault(),void e.stopPropagation();yt(),clearTimeout(Bt);var r=-e.deltaY;if(isFinite(r)||(r=e.wheelDelta/10),isFinite(r)){var n,a=Math.exp(-Math.min(Math.max(r,-20),20)/200),o=jt.draglayer.select(\".nsewdrag\").node().getBoundingClientRect(),s=(e.clientX-o.left)/o.width,l=(o.bottom-e.clientY)/o.height;if(st){for(v||(s=.5),n=0;n<J.length;n++)c(J[n],s,a);Vt(\"x\"),Ft[2]*=a,Ft[0]+=Ft[2]*s*(1/a-1)}if(lt){for(m||(l=.5),n=0;n<K.length;n++)c(K[n],l,a);Vt(\"y\"),Ft[3]*=a,Ft[1]+=Ft[3]*(1-l)*(1/a-1)}Yt(Ft),Ht(),t.emit(\"plotly_relayouting\",ht),Bt=setTimeout((function(){t._fullLayout&&(Ft=[0,0,tt,et],Gt())}),Nt),e.preventDefault()}else i.log(\"Did not find wheel motion attributes: \",e)}function c(t,e,r){if(!t.fixedrange){var n=i.simpleMap(t.range,t.r2l),a=n[0]+(n[1]-n[0])*e;t.range=n.map((function(e){return t.l2r(a+(e-a)*r)}))}}})),bt},makeDragger:O,makeRectDragger:z,makeZoombox:N,makeCorners:j,updateZoombox:U,xyCorners:G,transitionZoombox:V,removeZoombox:H,showDoubleClickNotifier:q,attachWheelEventHandler:W}},{\"../../components/color\":367,\"../../components/dragelement\":386,\"../../components/dragelement/helpers\":385,\"../../components/drawing\":389,\"../../components/fx\":407,\"../../components/selections\":455,\"../../constants/alignment\":483,\"../../lib\":515,\"../../lib/clear_gl_canvases\":499,\"../../lib/setcursor\":536,\"../../lib/svg_text_utils\":541,\"../../plot_api/subroutines\":556,\"../../registry\":647,\"../plots\":628,\"./axes\":566,\"./axis_ids\":570,\"./constants\":573,\"./scale_zoom\":584,\"@plotly/d3\":58,\"has-passive-events\":229,tinycolor2:313}],576:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../components/fx\"),a=t(\"../../components/dragelement\"),o=t(\"../../lib/setcursor\"),s=t(\"./dragbox\").makeDragBox,l=t(\"./constants\").DRAGGERSIZE;r.initInteractions=function(t){var e=t._fullLayout;if(t._context.staticPlot)n.select(t).selectAll(\".drag\").remove();else if(e._has(\"cartesian\")||e._has(\"splom\")){Object.keys(e._plots||{}).sort((function(t,r){if((e._plots[t].mainplot&&!0)===(e._plots[r].mainplot&&!0)){var n=t.split(\"y\"),i=r.split(\"y\");return n[0]===i[0]?Number(n[1]||1)-Number(i[1]||1):Number(n[0]||1)-Number(i[0]||1)}return e._plots[t].mainplot?1:-1})).forEach((function(r){var n=e._plots[r],o=n.xaxis,c=n.yaxis;if(!n.mainplot){var 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n=t(\"@plotly/d3\"),i=t(\"d3-geo\"),a=i.geoPath,o=i.geoDistance,s=t(\"d3-geo-projection\"),l=t(\"../../registry\"),c=t(\"../../lib\"),u=c.strTranslate,f=t(\"../../components/color\"),h=t(\"../../components/drawing\"),p=t(\"../../components/fx\"),d=t(\"../plots\"),m=t(\"../cartesian/axes\"),g=t(\"../cartesian/autorange\").getAutoRange,v=t(\"../../components/dragelement\"),y=t(\"../../components/selections\").prepSelect,x=t(\"../../components/selections\").clearOutline,b=t(\"../../components/selections\").selectOnClick,_=t(\"./zoom\"),w=t(\"./constants\"),T=t(\"../../lib/geo_location_utils\"),k=t(\"../../lib/topojson_utils\"),A=t(\"topojson-client\").feature;function 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r=this.graphDiv,n=e[this.id],l=e._size,u=n.domain,f=n.projection,h=n.lonaxis,p=n.lataxis,d=h._ax,m=p._ax,v=this.projection=function(t){var e=t.projection,r=e.type,n=w.projNames[r];n=\"geo\"+c.titleCase(n);for(var l=(i[n]||s[n])(),u=t._isSatellite?180*Math.acos(1/e.distance)/Math.PI:t._isClipped?w.lonaxisSpan[r]/2:null,f=[\"center\",\"rotate\",\"parallels\",\"clipExtent\"],h=function(t){return t?l:[]},p=0;p<f.length;p++){var d=f[p];\"function\"!=typeof l[d]&&(l[d]=h)}l.isLonLatOverEdges=function(t){if(null===l(t))return!0;if(u){var e=l.rotate();return o(t,[-e[0],-e[1]])>u*Math.PI/180}return!1},l.getPath=function(){return a().projection(l)},l.getBounds=function(t){return l.getPath().bounds(t)},l.precision(w.precision),t._isSatellite&&l.tilt(e.tilt).distance(e.distance);u&&l.clipAngle(u-w.clipPad);return l}(n),y=[[l.l+l.w*u.x[0],l.t+l.h*(1-u.y[1])],[l.l+l.w*u.x[1],l.t+l.h*(1-u.y[0])]],x=n.center||{},b=f.rotation||{},_=h.range||[],T=p.range||[];if(n.fitbounds){d._length=y[1][0]-y[0][0],m._length=y[1][1]-y[0][1],d.range=g(r,d),m.range=g(r,m);var k=(d.range[0]+d.range[1])/2,A=(m.range[0]+m.range[1])/2;if(n._isScoped)x={lon:k,lat:A};else if(n._isClipped){x={lon:k,lat:A},b={lon:k,lat:A,roll:b.roll};var M=f.type,S=w.lonaxisSpan[M]/2||180,L=w.lataxisSpan[M]/2||90;_=[k-S,k+S],T=[A-L,A+L]}else x={lon:k,lat:A},b={lon:k,lat:b.lat,roll:b.roll}}v.center([x.lon-b.lon,x.lat-b.lat]).rotate([-b.lon,-b.lat,b.roll]).parallels(f.parallels);var C=E(_,T);v.fitExtent(y,C);var P=this.bounds=v.getBounds(C),I=this.fitScale=v.scale(),O=v.translate();if(n.fitbounds){var z=v.getBounds(E(d.range,m.range)),D=Math.min((P[1][0]-P[0][0])/(z[1][0]-z[0][0]),(P[1][1]-P[0][1])/(z[1][1]-z[0][1]));isFinite(D)?v.scale(D*I):c.warn(\"Something went wrong during\"+this.id+\"fitbounds computations.\")}else v.scale(f.scale*I);var 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e=a[t]=n.select(this);\"bg\"===t?r.bgRect=e.append(\"rect\").style(\"pointer-events\",\"all\"):s(t)?o[t]=e.append(\"path\").style(\"fill\",\"none\"):\"backplot\"===t?e.append(\"g\").classed(\"choroplethlayer\",!0):\"frontplot\"===t?e.append(\"g\").classed(\"scatterlayer\",!0):l(t)?o[t]=e.append(\"path\").style(\"fill\",\"none\").style(\"stroke-miterlimit\",2):c(t)&&(o[t]=e.append(\"path\").style(\"stroke\",\"none\"))})),p.order(),p.each((function(r){var n=o[r],a=w.layerNameToAdjective[r];\"frame\"===r?n.datum(w.sphereSVG):l(r)||c(r)?n.datum(A(i,i.objects[r])):s(r)&&n.datum(function(t,e,r){var n,i,a,o=e[t],s=w.scopeDefaults[e.scope];\"lonaxis\"===t?(n=s.lonaxisRange,i=s.lataxisRange,a=function(t,e){return[t,e]}):\"lataxis\"===t&&(n=s.lataxisRange,i=s.lonaxisRange,a=function(t,e){return[e,t]});var l={type:\"linear\",range:[n[0],n[1]-1e-6],tick0:o.tick0,dtick:o.dtick};m.setConvert(l,r);var c=m.calcTicks(l);e.isScoped||\"lonaxis\"!==t||c.pop();for(var u=c.length,f=new Array(u),h=0;h<u;h++)for(var p=c[h].x,d=f[h]=[],g=i[0];g<i[1]+2.5;g+=2.5)d.push(a(p,g));return{type:\"MultiLineString\",coordinates:f}}(r,e,t)).call(f.stroke,e[r].gridcolor).call(h.dashLine,e[r].griddash,e[r].gridwidth),l(r)?n.call(f.stroke,e[a+\"color\"]).call(h.dashLine,\"\",e[a+\"width\"]):c(r)&&n.call(f.fill,e[a+\"color\"])}))},S.updateDims=function(t,e){var r=this.bounds,n=(e.framewidth||0)/2,i=r[0][0]-n,a=r[0][1]-n,o=r[1][0]-i+n,s=r[1][1]-a+n;h.setRect(this.clipRect,i,a,o,s),this.bgRect.call(h.setRect,i,a,o,s).call(f.fill,e.bgcolor),this.xaxis._offset=i,this.xaxis._length=o,this.yaxis._offset=a,this.yaxis._length=s},S.updateFx=function(t,e){var r=this,i=r.graphDiv,a=r.bgRect,o=t.dragmode,s=t.clickmode;if(!r.isStatic){var u={element:r.bgRect.node(),gd:i,plotinfo:{id:r.id,xaxis:r.xaxis,yaxis:r.yaxis,fillRangeItems:function(t,e){e.isRect?(t.range={})[r.id]=[f([e.xmin,e.ymin]),f([e.xmax,e.ymax])]:(t.lassoPoints={})[r.id]=e.map(f)}},xaxes:[r.xaxis],yaxes:[r.yaxis],subplot:r.id,clickFn:function(t){2===t&&x(i)}};\"pan\"===o?(a.node().onmousedown=null,a.call(_(r,e)),a.on(\"dblclick.zoom\",(function(){var t=r.viewInitial,e={};for(var n in t)e[r.id+\".\"+n]=t[n];l.call(\"_guiRelayout\",i,e),i.emit(\"plotly_doubleclick\",null)})),i._context._scrollZoom.geo||a.on(\"wheel.zoom\",null)):\"select\"!==o&&\"lasso\"!==o||(a.on(\".zoom\",null),u.prepFn=function(t,e,r){y(t,e,r,u,o)},v.init(u)),a.on(\"mousemove\",(function(){var t=r.projection.invert(c.getPositionFromD3Event());if(!t)return v.unhover(i,n.event);r.xaxis.p2c=function(){return t[0]},r.yaxis.p2c=function(){return 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l(t,e){this.element=t,this.plot=e,this.mouseListener=null,this.wheelListener=null,this.lastInputTime=Date.now(),this.lastPos=[0,0],this.boxEnabled=!1,this.boxInited=!1,this.boxStart=[0,0],this.boxEnd=[0,0],this.dragStart=[0,0]}e.exports=function(t){var e=t.mouseContainer,r=t.glplot,c=new l(e,r);function u(){t.xaxis.autorange=!1,t.yaxis.autorange=!1}function f(e,n,i){var a,s,l=t.calcDataBox(),f=r.viewBox,h=c.lastPos[0],p=c.lastPos[1],d=o.MINDRAG*r.pixelRatio,m=o.MINZOOM*r.pixelRatio;function g(e,r,n){var i=Math.min(r,n),a=Math.max(r,n);i!==a?(l[e]=i,l[e+2]=a,c.dataBox=l,t.setRanges(l)):(t.selectBox.selectBox=[0,0,1,1],t.glplot.setDirty())}switch(n*=r.pixelRatio,i*=r.pixelRatio,i=f[3]-f[1]-i,t.fullLayout.dragmode){case\"zoom\":if(e){var v=n/(f[2]-f[0])*(l[2]-l[0])+l[0],y=i/(f[3]-f[1])*(l[3]-l[1])+l[1];c.boxInited||(c.boxStart[0]=v,c.boxStart[1]=y,c.dragStart[0]=n,c.dragStart[1]=i),c.boxEnd[0]=v,c.boxEnd[1]=y,c.boxInited=!0,c.boxEnabled||c.boxStart[0]===c.boxEnd[0]&&c.boxStart[1]===c.boxEnd[1]||(c.boxEnabled=!0);var x=Math.abs(c.dragStart[0]-n)<m,b=Math.abs(c.dragStart[1]-i)<m;if(!function(){for(var e=t.graphDiv._fullLayout._axisConstraintGroups,r=t.xaxis._id,n=t.yaxis._id,i=0;i<e.length;i++)if(-1!==e[i][r]){if(-1!==e[i][n])return!0;break}return!1}()||x&&b)x&&(c.boxEnd[0]=c.boxStart[0]),b&&(c.boxEnd[1]=c.boxStart[1]);else{a=c.boxEnd[0]-c.boxStart[0],s=c.boxEnd[1]-c.boxStart[1];var _=(l[3]-l[1])/(l[2]-l[0]);Math.abs(a*_)>Math.abs(s)?(c.boxEnd[1]=c.boxStart[1]+Math.abs(a)*_*(s>=0?1:-1),c.boxEnd[1]<l[1]?(c.boxEnd[1]=l[1],c.boxEnd[0]=c.boxStart[0]+(l[1]-c.boxStart[1])/Math.abs(_)):c.boxEnd[1]>l[3]&&(c.boxEnd[1]=l[3],c.boxEnd[0]=c.boxStart[0]+(l[3]-c.boxStart[1])/Math.abs(_))):(c.boxEnd[0]=c.boxStart[0]+Math.abs(s)/_*(a>=0?1:-1),c.boxEnd[0]<l[0]?(c.boxEnd[0]=l[0],c.boxEnd[1]=c.boxStart[1]+(l[0]-c.boxStart[0])*Math.abs(_)):c.boxEnd[0]>l[2]&&(c.boxEnd[0]=l[2],c.boxEnd[1]=c.boxStart[1]+(l[2]-c.boxStart[0])*Math.abs(_)))}}else c.boxEnabled?(a=c.boxStart[0]!==c.boxEnd[0],s=c.boxStart[1]!==c.boxEnd[1],a||s?(a&&(g(0,c.boxStart[0],c.boxEnd[0]),t.xaxis.autorange=!1),s&&(g(1,c.boxStart[1],c.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),c.boxEnabled=!1,c.boxInited=!1):c.boxInited&&(c.boxInited=!1);break;case\"pan\":c.boxEnabled=!1,c.boxInited=!1,e?(c.panning||(c.dragStart[0]=n,c.dragStart[1]=i),Math.abs(c.dragStart[0]-n)<d&&(n=c.dragStart[0]),Math.abs(c.dragStart[1]-i)<d&&(i=c.dragStart[1]),a=(h-n)*(l[2]-l[0])/(r.viewBox[2]-r.viewBox[0]),s=(p-i)*(l[3]-l[1])/(r.viewBox[3]-r.viewBox[1]),l[0]+=a,l[2]+=a,l[1]+=s,l[3]+=s,t.setRanges(l),c.panning=!0,c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations()):c.panning&&(c.panning=!1,t.relayoutCallback())}c.lastPos[0]=n,c.lastPos[1]=i}return c.mouseListener=n(e,f),e.addEventListener(\"touchstart\",(function(t){var r=a(t.changedTouches[0],e);f(0,r[0],r[1]),f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchmove\",(function(t){t.preventDefault();var r=a(t.changedTouches[0],e);f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchend\",(function(t){f(0,c.lastPos[0],c.lastPos[1]),t.preventDefault()}),!!s&&{passive:!1}),c.wheelListener=i(e,(function(e,n){if(!t.scrollZoom)return!1;var i=t.calcDataBox(),a=r.viewBox,o=c.lastPos[0],s=c.lastPos[1],l=Math.exp(5*n/(a[3]-a[1])),f=o/(a[2]-a[0])*(i[2]-i[0])+i[0],h=s/(a[3]-a[1])*(i[3]-i[1])+i[1];return i[0]=(i[0]-f)*l+f,i[2]=(i[2]-f)*l+f,i[1]=(i[1]-h)*l+h,i[3]=(i[3]-h)*l+h,t.setRanges(i),c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0}),!0),c}},{\"../cartesian/constants\":573,\"has-passive-events\":229,\"mouse-change\":241,\"mouse-event-offset\":242,\"mouse-wheel\":244}],604:[function(t,e,r){\"use strict\";var n=t(\"../cartesian/axes\"),i=t(\"../../lib/str2rgbarray\");function a(t){this.scene=t,this.gl=t.gl,this.pixelRatio=t.pixelRatio,this.screenBox=[0,0,1,1],this.viewBox=[0,0,1,1],this.dataBox=[-1,-1,1,1],this.borderLineEnable=[!1,!1,!1,!1],this.borderLineWidth=[1,1,1,1],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.ticks=[[],[]],this.tickEnable=[!0,!0,!1,!1],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labels=[\"x\",\"y\"],this.labelEnable=[!0,!0,!1,!1],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelPad=[15,15,15,15],this.labelSize=[12,12],this.labelFont=[\"sans-serif\",\"sans-serif\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.title=\"\",this.titleEnable=!0,this.titleCenter=[0,0,0,0],this.titleAngle=0,this.titleColor=[0,0,0,1],this.titleFont=\"sans-serif\",this.titleSize=18,this.gridLineEnable=[!0,!0],this.gridLineColor=[[0,0,0,.5],[0,0,0,.5]],this.gridLineWidth=[1,1],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[1,1],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.static=this.scene.staticPlot}var o=a.prototype,s=[\"xaxis\",\"yaxis\"];o.merge=function(t){var e,r,n,a,o,l,c,u,f,h,p;for(this.titleEnable=!1,this.backgroundColor=i(t.plot_bgcolor),h=0;h<2;++h){var d=(e=s[h]).charAt(0);for(n=(r=t[this.scene[e]._name]).title.text===this.scene.fullLayout._dfltTitle[d]?\"\":r.title.text,p=0;p<=2;p+=2)this.labelEnable[h+p]=!1,this.labels[h+p]=n,this.labelColor[h+p]=i(r.title.font.color),this.labelFont[h+p]=r.title.font.family,this.labelSize[h+p]=r.title.font.size,this.labelPad[h+p]=this.getLabelPad(e,r),this.tickEnable[h+p]=!1,this.tickColor[h+p]=i((r.tickfont||{}).color),this.tickAngle[h+p]=\"auto\"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[h+p]=this.getTickPad(r),this.tickMarkLength[h+p]=0,this.tickMarkWidth[h+p]=r.tickwidth||0,this.tickMarkColor[h+p]=i(r.tickcolor),this.borderLineEnable[h+p]=!1,this.borderLineColor[h+p]=i(r.linecolor),this.borderLineWidth[h+p]=r.linewidth||0;c=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!c,l=this.hasAxisInAltrPos(e,r)&&!c,a=r.mirror||!1,u=c?-1!==String(a).indexOf(\"all\"):!!a,f=c?\"allticks\"===a:-1!==String(a).indexOf(\"ticks\"),o?this.labelEnable[h]=!0:l&&(this.labelEnable[h+2]=!0),o?this.tickEnable[h]=r.showticklabels:l&&(this.tickEnable[h+2]=r.showticklabels),(o||u)&&(this.borderLineEnable[h]=r.showline),(l||u)&&(this.borderLineEnable[h+2]=r.showline),(o||f)&&(this.tickMarkLength[h]=this.getTickMarkLength(r)),(l||f)&&(this.tickMarkLength[h+2]=this.getTickMarkLength(r)),this.gridLineEnable[h]=r.showgrid,this.gridLineColor[h]=i(r.gridcolor),this.gridLineWidth[h]=r.gridwidth,this.zeroLineEnable[h]=r.zeroline,this.zeroLineColor[h]=i(r.zerolinecolor),this.zeroLineWidth[h]=r.zerolinewidth}},o.hasSharedAxis=function(t){var e=this.scene,r=e.fullLayout._subplots.gl2d;return 0!==n.findSubplotsWithAxis(r,t).indexOf(e.id)},o.hasAxisInDfltPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"bottom\"===r:\"yaxis\"===t?\"left\"===r:void 0},o.hasAxisInAltrPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"top\"===r:\"yaxis\"===t?\"right\"===r:void 0},o.getLabelPad=function(t,e){var r=e.title.font.size,n=e.showticklabels;return\"xaxis\"===t?\"top\"===e.side?r*(1.5+(n?1:0))-10:r*(1.5+(n?.5:0))-10:\"yaxis\"===t?\"right\"===e.side?10+r*(1.5+(n?1:.5)):10+r*(1.5+(n?.5:0)):void 0},o.getTickPad=function(t){return\"outside\"===t.ticks?10+t.ticklen:15},o.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return\"inside\"===t.ticks?-e:e},e.exports=function(t){return new a(t)}},{\"../../lib/str2rgbarray\":540,\"../cartesian/axes\":566}],605:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,i=t(\"./scene2d\"),a=t(\"../layout_attributes\"),o=t(\"../../constants/xmlns_namespaces\"),s=t(\"../cartesian/constants\"),l=t(\"../cartesian\"),c=t(\"../../components/fx/layout_attributes\"),u=t(\"../get_data\").getSubplotData;r.name=\"gl2d\",r.attr=[\"xaxis\",\"yaxis\"],r.idRoot=[\"x\",\"y\"],r.idRegex=s.idRegex,r.attrRegex=s.attrRegex,r.attributes=t(\"../cartesian/attributes\"),r.supplyLayoutDefaults=function(t,e,r){e._has(\"cartesian\")||l.supplyLayoutDefaults(t,e,r)},r.layoutAttrOverrides=n(l.layoutAttributes,\"plot\",\"from-root\"),r.baseLayoutAttrOverrides=n({plot_bgcolor:a.plot_bgcolor,hoverlabel:c.hoverlabel},\"plot\",\"nested\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,a=0;a<n.length;a++){var o=n[a],s=e._plots[o],l=u(r,\"gl2d\",o),c=s._scene2d;void 0===c&&(c=new i({id:o,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=c),c.plot(l,t.calcdata,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=n._subplots.gl2d||[],a=0;a<i.length;a++){var o=i[a],s=n._plots[o];if(s._scene2d){var c=u(t,\"gl2d\",o);0===c.length&&(s._scene2d.destroy(),delete n._plots[o])}}l.clean.apply(this,arguments)},r.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var i=e._plots[r[n]]._scene2d,a=i.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":a,x:0,y:0,width:\"100%\",height:\"100%\",preserveAspectRatio:\"none\"}),i.destroy()}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){e._plots[r[n]]._scene2d.updateFx(e.dragmode)}}},{\"../../components/fx/layout_attributes\":408,\"../../constants/xmlns_namespaces\":492,\"../../plot_api/edit_types\":548,\"../cartesian\":578,\"../cartesian/attributes\":564,\"../cartesian/constants\":573,\"../get_data\":602,\"../layout_attributes\":619,\"./scene2d\":606}],606:[function(t,e,r){\"use strict\";var n,i,a=t(\"../../registry\"),o=t(\"../../plots/cartesian/axes\"),s=t(\"../../components/fx\"),l=t(\"../../../stackgl_modules\").gl_plot2d,c=t(\"../../../stackgl_modules\").gl_spikes2d,u=t(\"../../../stackgl_modules\").gl_select_box,f=t(\"webgl-context\"),h=t(\"./convert\"),p=t(\"./camera\"),d=t(\"../../lib/show_no_webgl_msg\"),m=t(\"../cartesian/constraints\"),g=m.enforce,v=m.clean,y=t(\"../cartesian/autorange\").doAutoRange,x=t(\"../../components/dragelement/helpers\"),b=x.drawMode,_=x.selectMode,w=[\"xaxis\",\"yaxis\"],T=t(\"../cartesian/constants\").SUBPLOT_PATTERN;function k(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context._scrollZoom.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=h(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=c(this.glplot),this.selectBox=u(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}e.exports=k;var A=k.prototype;A.makeFramework=function(){if(this.staticPlot){if(!(i||(n=document.createElement(\"canvas\"),i=f({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"Error creating static canvas/context for image server\");this.canvas=n,this.gl=i}else{var t=this.container.querySelector(\".gl-canvas-focus\"),e=f({canvas:t,preserveDrawingBuffer:!0,premultipliedAlpha:!0});if(!e)return d(this),void(this.stopped=!0);this.canvas=t,this.gl=e}var r=this.canvas;r.style.width=\"100%\",r.style.height=\"100%\",r.style.position=\"absolute\",r.style.top=\"0px\",r.style.left=\"0px\",r.style[\"pointer-events\"]=\"none\",this.updateSize(r);var a=this.svgContainer=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");a.style.position=\"absolute\",a.style.top=a.style.left=\"0px\",a.style.width=a.style.height=\"100%\",a.style[\"z-index\"]=20,a.style[\"pointer-events\"]=\"none\";var o=this.mouseContainer=document.createElement(\"div\");o.style.position=\"absolute\",o.style[\"pointer-events\"]=\"auto\",this.pickCanvas=this.container.querySelector(\".gl-canvas-pick\");var s=this.container;s.appendChild(a),s.appendChild(o);var l=this;o.addEventListener(\"mouseout\",(function(){l.isMouseOver=!1,l.unhover()})),o.addEventListener(\"mouseover\",(function(){l.isMouseOver=!0}))},A.toImage=function(t){t||(t=\"png\"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a);for(var o=0,s=i-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var c=0;c<4;++c){var u=a[4*(r*o+l)+c];a[4*(r*o+l)+c]=a[4*(r*s+l)+c],a[4*(r*s+l)+c]=u}var f=document.createElement(\"canvas\");f.width=r,f.height=i;var h,p=f.getContext(\"2d\",{willReadFrequently:!0}),d=p.createImageData(r,i);switch(d.data.set(a),p.putImageData(d,0,0),t){case\"jpeg\":h=f.toDataURL(\"image/jpeg\");break;case\"webp\":h=f.toDataURL(\"image/webp\");break;default:h=f.toDataURL(\"image/png\")}return this.staticPlot&&this.container.removeChild(n),h},A.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,i=r.height,a=0|Math.ceil(e*n),o=0|Math.ceil(e*i);return t.width===a&&t.height===o||(t.width=a,t.height=o),t},A.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+\"\";return t},A.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(T),r=\"xaxis\"+e[1],n=\"yaxis\"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},A.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,i={},o=i[e._name+\".range\"]=e.range.slice(),s=i[r._name+\".range\"]=r.range.slice();i[e._name+\".autorange\"]=e.autorange,i[r._name+\".autorange\"]=r.autorange,a.call(\"_storeDirectGUIEdit\",t.layout,t._fullLayout._preGUI,i);var l=n[e._name];l.range=o,l.autorange=e.autorange;var c=n[r._name];c.range=s,c.autorange=r.autorange,i.lastInputTime=this.camera.lastInputTime,t.emit(\"plotly_relayout\",i)},A.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;a<n.length;++a)if(n[a].x!==i[a].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},A.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&a.getComponentMethod(\"annotations\",\"drawOne\")(t,r)}},A.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map((function(e){t[e].dispose(),delete t[e]})),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null}},A.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var i=r.width,a=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,i,a];var s={_fullLayout:{_axisConstraintGroups:r._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis,_size:r._size}};v(s,this.xaxis),v(s,this.yaxis);var l,c,u=r._size,f=this.xaxis.domain,h=this.yaxis.domain;for(o.viewBox=[u.l+f[0]*u.w,u.b+h[0]*u.h,i-u.r-(1-f[1])*u.w,a-u.t-(1-h[1])*u.h],this.mouseContainer.style.width=u.w*(f[1]-f[0])+\"px\",this.mouseContainer.style.height=u.h*(h[1]-h[0])+\"px\",this.mouseContainer.height=u.h*(h[1]-h[0]),this.mouseContainer.style.left=u.l+f[0]*u.w+\"px\",this.mouseContainer.style.top=u.t+(1-h[1])*u.h+\"px\",c=0;c<2;++c)(l=this[w[c]])._length=o.viewBox[c+2]-o.viewBox[c],y(this.graphDiv,l),l.setScale();g(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},A.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,i=t.r2l,a=e.r2l;return[i(r[0]),a(n[0]),i(r[1]),a(n[1])]},A.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,i=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[i(t[1]),i(t[3])]},A.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if((i=t[n]).uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){i=t[r];var l=e[r],c=this.traces[i.uid];c?c.update(i,l):(c=i._module.plot(this,i,l),this.traces[i.uid]=c)}this.glplot.objects.sort((function(t,e){return t._trace.index-e._trace.index}))},A.updateFx=function(t){_(t)||b(t)?(this.pickCanvas.style[\"pointer-events\"]=\"none\",this.mouseContainer.style[\"pointer-events\"]=\"none\"):(this.pickCanvas.style[\"pointer-events\"]=\"auto\",this.mouseContainer.style[\"pointer-events\"]=\"auto\"),this.mouseContainer.style.cursor=\"pan\"===t?\"move\":\"zoom\"===t?\"crosshair\":null},A.emitPointAction=function(t,e){for(var r,n=t.trace.uid,i=t.pointIndex,a=0;a<this.fullData.length;a++)this.fullData[a].uid===n&&(r=this.fullData[a]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:i,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,i),this.graphDiv.emit(e,{points:[o]})},A.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,i=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var a,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&\"zoom\"===i.dragmode){this.selectBox.enabled=!0;for(var c=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],u=0;u<2;u++)e.boxStart[u]===e.boxEnd[u]&&(c[u]=t.dataBox[u],c[u+2]=t.dataBox[u+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var f=i._size,h=this.xaxis.domain,p=this.yaxis.domain,d=(a=t.pick(o/t.pixelRatio+f.l+h[0]*f.w,l/t.pixelRatio-(f.t+(1-p[1])*f.h)))&&a.object._trace.handlePick(a);if(d&&n&&this.emitPointAction(d,\"plotly_click\"),a&&\"skip\"!==a.object._trace.hoverinfo&&i.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var m=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),m.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,\"plotly_hover\");var g=this.fullData[m.trace.index]||{},v=m.pointIndex,y=s.castHoverinfo(g,i,v);if(y&&\"all\"!==y){var x=y.split(\"+\");-1===x.indexOf(\"x\")&&(m.traceCoord[0]=void 0),-1===x.indexOf(\"y\")&&(m.traceCoord[1]=void 0),-1===x.indexOf(\"z\")&&(m.traceCoord[2]=void 0),-1===x.indexOf(\"text\")&&(m.textLabel=void 0),-1===x.indexOf(\"name\")&&(m.name=void 0)}s.loneHover({x:m.screenCoord[0],y:m.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",m.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",m.traceCoord[1]),zLabel:m.traceCoord[2],text:m.textLabel,name:m.name,color:s.castHoverOption(g,v,\"bgcolor\")||m.color,borderColor:s.castHoverOption(g,v,\"bordercolor\"),fontFamily:s.castHoverOption(g,v,\"font.family\"),fontSize:s.castHoverOption(g,v,\"font.size\"),fontColor:s.castHoverOption(g,v,\"font.color\"),nameLength:s.castHoverOption(g,v,\"namelength\"),textAlign:s.castHoverOption(g,v,\"align\")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},A.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),s.loneUnhover(this.svgContainer))},A.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),\"hover\").text}}},{\"../../../stackgl_modules\":1133,\"../../components/dragelement/helpers\":385,\"../../components/fx\":407,\"../../lib/show_no_webgl_msg\":537,\"../../plots/cartesian/axes\":566,\"../../registry\":647,\"../cartesian/autorange\":565,\"../cartesian/constants\":573,\"../cartesian/constraints\":574,\"./camera\":603,\"./convert\":604,\"webgl-context\":332}],607:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,i=t(\"../../components/fx/layout_attributes\"),a=t(\"./scene\"),o=t(\"../get_data\").getSubplotData,s=t(\"../../lib\"),l=t(\"../../constants/xmlns_namespaces\");r.name=\"gl3d\",r.attr=\"scene\",r.idRoot=\"scene\",r.idRegex=r.attrRegex=s.counterRegex(\"scene\"),r.attributes=t(\"./layout/attributes\"),r.layoutAttributes=t(\"./layout/layout_attributes\"),r.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},\"plot\",\"nested\"),r.supplyLayoutDefaults=t(\"./layout/defaults\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl3d,i=0;i<n.length;i++){var s=n[i],l=o(r,\"gl3d\",s),c=e[s],u=c.camera,f=c._scene;f||(f=new a({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:u},e),c._scene=f),f.viewInitial||(f.viewInitial={up:{x:u.up.x,y:u.up.y,z:u.up.z},eye:{x:u.eye.x,y:u.eye.y,z:u.eye.z},center:{x:u.center.x,y:u.center.y,z:u.center.z}}),f.plot(l,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=n._subplots.gl3d||[],a=0;a<i.length;a++){var o=i[a];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+o).remove())}},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=e._size,i=0;i<r.length;i++){var a=e[r[i]],o=a.domain,s=a._scene,c=s.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:l.svg,\"xlink:href\":c,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:\"none\"}),s.destroy()}},r.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),\"scene\"+e}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=0;n<r.length;n++){e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}}},{\"../../components/fx/layout_attributes\":408,\"../../constants/xmlns_namespaces\":492,\"../../lib\":515,\"../../plot_api/edit_types\":548,\"../get_data\":602,\"./layout/attributes\":608,\"./layout/defaults\":612,\"./layout/layout_attributes\":613,\"./scene\":617}],608:[function(t,e,r){\"use strict\";e.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},{}],609:[function(t,e,r){\"use strict\";var n=t(\"../../../components/color\"),i=t(\"../../cartesian/layout_attributes\"),a=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../plot_api/edit_types\").overrideAll;e.exports=o({visible:i.visible,showspikes:{valType:\"boolean\",dflt:!0},spikesides:{valType:\"boolean\",dflt:!0},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:n.defaultLine},showbackground:{valType:\"boolean\",dflt:!1},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 0.5)\"},showaxeslabels:{valType:\"boolean\",dflt:!0},color:i.color,categoryorder:i.categoryorder,categoryarray:i.categoryarray,title:{text:i.title.text,font:i.title.font},type:a({},i.type,{values:[\"-\",\"linear\",\"log\",\"date\",\"category\"]}),autotypenumbers:i.autotypenumbers,autorange:i.autorange,rangemode:i.rangemode,range:a({},i.range,{items:[{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}}],anim:!1}),tickmode:i.tickmode,nticks:i.nticks,tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,mirror:i.mirror,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,tickfont:i.tickfont,tickangle:i.tickangle,tickprefix:i.tickprefix,showtickprefix:i.showtickprefix,ticksuffix:i.ticksuffix,showticksuffix:i.showticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,minexponent:i.minexponent,separatethousands:i.separatethousands,tickformat:i.tickformat,tickformatstops:i.tickformatstops,hoverformat:i.hoverformat,showline:i.showline,linecolor:i.linecolor,linewidth:i.linewidth,showgrid:i.showgrid,gridcolor:a({},i.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:i.gridwidth,zeroline:i.zeroline,zerolinecolor:i.zerolinecolor,zerolinewidth:i.zerolinewidth,_deprecated:{title:i._deprecated.title,titlefont:i._deprecated.titlefont}},\"plot\",\"from-root\")},{\"../../../components/color\":367,\"../../../lib/extend\":505,\"../../../plot_api/edit_types\":548,\"../../cartesian/layout_attributes\":579}],610:[function(t,e,r){\"use strict\";var n=t(\"tinycolor2\").mix,i=t(\"../../../lib\"),a=t(\"../../../plot_api/plot_template\"),o=t(\"./axis_attributes\"),s=t(\"../../cartesian/type_defaults\"),l=t(\"../../cartesian/axis_defaults\"),c=[\"xaxis\",\"yaxis\",\"zaxis\"];e.exports=function(t,e,r){var u,f;function h(t,e){return i.coerce(u,f,o,t,e)}for(var p=0;p<c.length;p++){var d=c[p];u=t[d]||{},(f=a.newContainer(e,d))._id=d[0]+r.scene,f._name=d,s(u,f,h,r),l(u,f,h,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelstep:!0,noTicklabelposition:!0,noTicklabeloverflow:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),h(\"gridcolor\",n(f.color,r.bgColor,13600/187).toRgbString()),h(\"title.text\",d[0]),f.setScale=i.noop,h(\"showspikes\")&&(h(\"spikesides\"),h(\"spikethickness\"),h(\"spikecolor\",f.color)),h(\"showaxeslabels\"),h(\"showbackground\")&&h(\"backgroundcolor\")}}},{\"../../../lib\":515,\"../../../plot_api/plot_template\":555,\"../../cartesian/axis_defaults\":568,\"../../cartesian/type_defaults\":591,\"./axis_attributes\":609,tinycolor2:313}],611:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),i=t(\"../../../lib\"),a=[\"xaxis\",\"yaxis\",\"zaxis\"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"Open Sans\",\"Open Sans\",\"Open Sans\"],this.labelSize=[20,20,20],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var r=0;r<3;++r){var o=e[a[r]];o.visible?(this.labels[r]=t._meta?i.templateString(o.title.text,t._meta):o.title.text,\"font\"in o.title&&(o.title.font.color&&(this.labelColor[r]=n(o.title.font.color)),o.title.font.family&&(this.labelFont[r]=o.title.font.family),o.title.font.size&&(this.labelSize[r]=o.title.font.size)),\"showline\"in o&&(this.lineEnable[r]=o.showline),\"linecolor\"in o&&(this.lineColor[r]=n(o.linecolor)),\"linewidth\"in o&&(this.lineWidth[r]=o.linewidth),\"showgrid\"in o&&(this.gridEnable[r]=o.showgrid),\"gridcolor\"in o&&(this.gridColor[r]=n(o.gridcolor)),\"gridwidth\"in o&&(this.gridWidth[r]=o.gridwidth),\"log\"===o.type?this.zeroEnable[r]=!1:\"zeroline\"in o&&(this.zeroEnable[r]=o.zeroline),\"zerolinecolor\"in o&&(this.zeroLineColor[r]=n(o.zerolinecolor)),\"zerolinewidth\"in o&&(this.zeroLineWidth[r]=o.zerolinewidth),\"ticks\"in o&&o.ticks?this.lineTickEnable[r]=!0:this.lineTickEnable[r]=!1,\"ticklen\"in o&&(this.lineTickLength[r]=this._defaultLineTickLength[r]=o.ticklen),\"tickcolor\"in o&&(this.lineTickColor[r]=n(o.tickcolor)),\"tickwidth\"in o&&(this.lineTickWidth[r]=o.tickwidth),\"tickangle\"in o&&(this.tickAngle[r]=\"auto\"===o.tickangle?-3600:Math.PI*-o.tickangle/180),\"showticklabels\"in o&&(this.tickEnable[r]=o.showticklabels),\"tickfont\"in o&&(o.tickfont.color&&(this.tickColor[r]=n(o.tickfont.color)),o.tickfont.family&&(this.tickFont[r]=o.tickfont.family),o.tickfont.size&&(this.tickSize[r]=o.tickfont.size)),\"mirror\"in o?-1!==[\"ticks\",\"all\",\"allticks\"].indexOf(o.mirror)?(this.lineTickMirror[r]=!0,this.lineMirror[r]=!0):!0===o.mirror?(this.lineTickMirror[r]=!1,this.lineMirror[r]=!0):(this.lineTickMirror[r]=!1,this.lineMirror[r]=!1):this.lineMirror[r]=!1,\"showbackground\"in o&&!1!==o.showbackground?(this.backgroundEnable[r]=!0,this.backgroundColor[r]=n(o.backgroundcolor)):this.backgroundEnable[r]=!1):(this.tickEnable[r]=!1,this.labelEnable[r]=!1,this.lineEnable[r]=!1,this.lineTickEnable[r]=!1,this.gridEnable[r]=!1,this.zeroEnable[r]=!1,this.backgroundEnable[r]=!1)}},e.exports=function(t,e){var r=new o;return r.merge(t,e),r}},{\"../../../lib\":515,\"../../../lib/str2rgbarray\":540}],612:[function(t,e,r){\"use strict\";var n=t(\"../../../lib\"),i=t(\"../../../components/color\"),a=t(\"../../../registry\"),o=t(\"../../subplot_defaults\"),s=t(\"./axis_defaults\"),l=t(\"./layout_attributes\"),c=t(\"../../get_data\").getSubplotData;function u(t,e,r,n){for(var o=r(\"bgcolor\"),l=i.combine(o,n.paper_bgcolor),u=[\"up\",\"center\",\"eye\"],f=0;f<u.length;f++)r(\"camera.\"+u[f]+\".x\"),r(\"camera.\"+u[f]+\".y\"),r(\"camera.\"+u[f]+\".z\");r(\"camera.projection.type\");var h=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),p=r(\"aspectmode\",h?\"manual\":\"auto\");h||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\"manual\"===p&&(e.aspectmode=\"auto\"),t.aspectmode=e.aspectmode);var d=c(n.fullData,\"gl3d\",n.id);s(t,e,{font:n.font,scene:n.id,data:d,bgColor:l,calendar:n.calendar,autotypenumbersDflt:n.autotypenumbersDflt,fullLayout:n.fullLayout}),a.getComponentMethod(\"annotations3d\",\"handleDefaults\")(t,e,n);var m=n.getDfltFromLayout(\"dragmode\");if(!1!==m&&!m)if(m=\"orbit\",t.camera&&t.camera.up){var g=t.camera.up.x,v=t.camera.up.y,y=t.camera.up.z;0!==y&&(g&&v&&y?y/Math.sqrt(g*g+v*v+y*y)>.999&&(m=\"turntable\"):m=\"turntable\")}else m=\"turntable\";r(\"dragmode\",m),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}e.exports=function(t,e,r){var i=e._basePlotModules.length>1;o(t,e,r,{type:\"gl3d\",attributes:l,handleDefaults:u,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!i)return n.validate(t[e],l[e])?t[e]:void 0},autotypenumbersDflt:e.autotypenumbers,paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},{\"../../../components/color\":367,\"../../../lib\":515,\"../../../registry\":647,\"../../get_data\":602,\"../../subplot_defaults\":641,\"./axis_defaults\":610,\"./layout_attributes\":613}],613:[function(t,e,r){\"use strict\";var n=t(\"./axis_attributes\"),i=t(\"../../domain\").attributes,a=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../lib\").counterRegex;function s(t,e,r){return{x:{valType:\"number\",dflt:t,editType:\"camera\"},y:{valType:\"number\",dflt:e,editType:\"camera\"},z:{valType:\"number\",dflt:r,editType:\"camera\"},editType:\"camera\"}}e.exports={_arrayAttrRegexps:[o(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:a(s(0,0,1),{}),center:a(s(0,0,0),{}),eye:a(s(1.25,1.25,1.25),{}),projection:{type:{valType:\"enumerated\",values:[\"perspective\",\"orthographic\"],dflt:\"perspective\",editType:\"calc\"},editType:\"calc\"},editType:\"camera\"},domain:i({name:\"scene\",editType:\"plot\"}),aspectmode:{valType:\"enumerated\",values:[\"auto\",\"cube\",\"data\",\"manual\"],dflt:\"auto\",editType:\"plot\",impliedEdits:{\"aspectratio.x\":void 0,\"aspectratio.y\":void 0,\"aspectratio.z\":void 0}},aspectratio:{x:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},y:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},z:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},editType:\"plot\",impliedEdits:{aspectmode:\"manual\"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],editType:\"plot\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},editType:\"plot\",_deprecated:{cameraposition:{valType:\"info_array\",editType:\"camera\"}}}},{\"../../../lib\":515,\"../../../lib/extend\":505,\"../../domain\":593,\"./axis_attributes\":609}],614:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),i=[\"xaxis\",\"yaxis\",\"zaxis\"];function a(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}a.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},e.exports=function(t){var e=new a;return e.merge(t),e}},{\"../../../lib/str2rgbarray\":540}],615:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],c=0;c<3;++c){var u=s[a[c]];if(u._length=(r[c].hi-r[c].lo)*r[c].pixelsPerDataUnit/t.dataScale[c],Math.abs(u._length)===1/0||isNaN(u._length))l[c]=[];else{u._input_range=u.range.slice(),u.range[0]=r[c].lo/t.dataScale[c],u.range[1]=r[c].hi/t.dataScale[c],u._m=1/(t.dataScale[c]*r[c].pixelsPerDataUnit),u.range[0]===u.range[1]&&(u.range[0]-=1,u.range[1]+=1);var f=u.tickmode;if(\"auto\"===u.tickmode){u.tickmode=\"linear\";var h=u.nticks||i.constrain(u._length/40,4,9);n.autoTicks(u,Math.abs(u.range[1]-u.range[0])/h)}for(var p=n.calcTicks(u,{msUTC:!0}),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[c],\"date\"===u.type&&(p[d].text=p[d].text.replace(/\\<br\\>/g,\" \"));l[c]=p,u.tickmode=f}}e.ticks=l;for(c=0;c<3;++c){o[c]=.5*(t.glplot.bounds[0][c]+t.glplot.bounds[1][c]);for(d=0;d<2;++d)e.bounds[d][c]=t.glplot.bounds[d][c]}t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;e[r]=i}return e}(l)};var n=t(\"../../cartesian/axes\"),i=t(\"../../../lib\"),a=[\"xaxis\",\"yaxis\",\"zaxis\"],o=[0,0,0]},{\"../../../lib\":515,\"../../cartesian/axes\":566}],616:[function(t,e,r){\"use strict\";function n(t,e){var r,n,i=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)i[n]+=t[4*r+n]*e[r];return i}e.exports=function(t,e){return n(t.projection,n(t.view,n(t.model,[e[0],e[1],e[2],1])))}},{}],617:[function(t,e,r){\"use strict\";var n,i,a=t(\"../../../stackgl_modules\").gl_plot3d,o=a.createCamera,s=a.createScene,l=t(\"webgl-context\"),c=t(\"has-passive-events\"),u=t(\"../../registry\"),f=t(\"../../lib\"),h=f.preserveDrawingBuffer(),p=t(\"../../plots/cartesian/axes\"),d=t(\"../../components/fx\"),m=t(\"../../lib/str2rgbarray\"),g=t(\"../../lib/show_no_webgl_msg\"),v=t(\"./project\"),y=t(\"./layout/convert\"),x=t(\"./layout/spikes\"),b=t(\"./layout/tick_marks\");function _(t,e){var r=document.createElement(\"div\"),n=t.container;this.graphDiv=t.graphDiv;var i=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");i.style.position=\"absolute\",i.style.top=i.style.left=\"0px\",i.style.width=i.style.height=\"100%\",i.style[\"z-index\"]=20,i.style[\"pointer-events\"]=\"none\",r.appendChild(i),this.svgContainer=i,r.id=t.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=e,this.id=t.id||\"scene\",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=y(e,e[this.id]),this.spikeOptions=x(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=u.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=u.getComponentMethod(\"annotations3d\",\"draw\"),this.initializeGLPlot()}var w=_.prototype;w.prepareOptions=function(){var t={canvas:this.canvas,gl:this.gl,glOptions:{preserveDrawingBuffer:h,premultipliedAlpha:!0,antialias:!0},container:this.container,axes:this.axesOptions,spikes:this.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:this.camera,pixelRatio:this.pixelRatio};if(this.staticMode){if(!(i||(n=document.createElement(\"canvas\"),i=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for image server\");t.gl=i,t.canvas=n}return t};var T=!0;w.tryCreatePlot=function(){var t=this.prepareOptions(),e=!0;try{this.glplot=s(t)}catch(r){if(this.staticMode||!T||h)e=!1;else{f.warn([\"webgl setup failed possibly due to\",\"false preserveDrawingBuffer config.\",\"The mobile/tablet device may not be detected by is-mobile module.\",\"Enabling preserveDrawingBuffer in second attempt to create webgl scene...\"].join(\" \"));try{h=t.glOptions.preserveDrawingBuffer=!0,this.glplot=s(t)}catch(r){h=t.glOptions.preserveDrawingBuffer=!1,e=!1}}}return T=!1,e},w.initializeGLCamera=function(){var t=this.fullSceneLayout.camera,e=\"orthographic\"===t.projection.type;this.camera=o(this.container,{center:[t.center.x,t.center.y,t.center.z],eye:[t.eye.x,t.eye.y,t.eye.z],up:[t.up.x,t.up.y,t.up.z],_ortho:e,zoomMin:.01,zoomMax:100,mode:\"orbit\"})},w.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return g(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+\".camera\"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+\".aspectratio\"]=t.glplot.getAspectratio(),\"manual\"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+\".aspectmode\"]=\"manual\")),e},i=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit(\"plotly_relayout\",e)}};return t.glplot.canvas&&(t.glplot.canvas.addEventListener(\"mouseup\",(function(){i(t)})),t.glplot.canvas.addEventListener(\"wheel\",(function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}}),!!c&&{passive:!1}),t.glplot.canvas.addEventListener(\"mousemove\",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit(\"plotly_relayouting\",e)}})),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",(function(r){e&&e.emit&&e.emit(\"plotly_webglcontextlost\",{event:r,layer:t.id})}),!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},w.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,i=e.container.getBoundingClientRect();r._fullLayout._calcInverseTransform(r);var a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+s+\" \"+l),n.setAttributeNS(null,\"width\",s),n.setAttributeNS(null,\"height\",l),b(e),e.glplot.axes.update(e.axesOptions);for(var c=Object.keys(e.traces),u=null,h=e.glplot.selection,m=0;m<c.length;++m)\"skip\"!==(t=e.traces[c[m]]).data.hoverinfo&&t.handlePick(h)&&(u=t),t.setContourLevels&&t.setContourLevels();function g(t,r,n){var i=e.fullSceneLayout[t+\"axis\"];return\"log\"!==i.type&&(r=i.d2l(r)),p.hoverLabelText(i,r,n)}if(null!==u){var y=v(e.glplot.cameraParams,h.dataCoordinate);t=u.data;var x,_=r._fullData[t.index],w=h.index,T={xLabel:g(\"x\",h.traceCoordinate[0],t.xhoverformat),yLabel:g(\"y\",h.traceCoordinate[1],t.yhoverformat),zLabel:g(\"z\",h.traceCoordinate[2],t.zhoverformat)},k=d.castHoverinfo(_,e.fullLayout,w),A=(k||\"\").split(\"+\"),M=k&&\"all\"===k;_.hovertemplate||M||(-1===A.indexOf(\"x\")&&(T.xLabel=void 0),-1===A.indexOf(\"y\")&&(T.yLabel=void 0),-1===A.indexOf(\"z\")&&(T.zLabel=void 0),-1===A.indexOf(\"text\")&&(h.textLabel=void 0),-1===A.indexOf(\"name\")&&(u.name=void 0));var S=[];\"cone\"===t.type||\"streamtube\"===t.type?(T.uLabel=g(\"x\",h.traceCoordinate[3],t.uhoverformat),(M||-1!==A.indexOf(\"u\"))&&S.push(\"u: \"+T.uLabel),T.vLabel=g(\"y\",h.traceCoordinate[4],t.vhoverformat),(M||-1!==A.indexOf(\"v\"))&&S.push(\"v: \"+T.vLabel),T.wLabel=g(\"z\",h.traceCoordinate[5],t.whoverformat),(M||-1!==A.indexOf(\"w\"))&&S.push(\"w: \"+T.wLabel),T.normLabel=h.traceCoordinate[6].toPrecision(3),(M||-1!==A.indexOf(\"norm\"))&&S.push(\"norm: \"+T.normLabel),\"streamtube\"===t.type&&(T.divergenceLabel=h.traceCoordinate[7].toPrecision(3),(M||-1!==A.indexOf(\"divergence\"))&&S.push(\"divergence: \"+T.divergenceLabel)),h.textLabel&&S.push(h.textLabel),x=S.join(\"<br>\")):\"isosurface\"===t.type||\"volume\"===t.type?(T.valueLabel=p.hoverLabelText(e._mockAxis,e._mockAxis.d2l(h.traceCoordinate[3]),t.valuehoverformat),S.push(\"value: \"+T.valueLabel),h.textLabel&&S.push(h.textLabel),x=S.join(\"<br>\")):x=h.textLabel;var E={x:h.traceCoordinate[0],y:h.traceCoordinate[1],z:h.traceCoordinate[2],data:_._input,fullData:_,curveNumber:_.index,pointNumber:w};d.appendArrayPointValue(E,_,w),t._module.eventData&&(E=_._module.eventData(E,h,_,{},w));var L={points:[E]};if(e.fullSceneLayout.hovermode){var C=[];d.loneHover({trace:_,x:(.5+.5*y[0]/y[3])*s,y:(.5-.5*y[1]/y[3])*l,xLabel:T.xLabel,yLabel:T.yLabel,zLabel:T.zLabel,text:x,name:u.name,color:d.castHoverOption(_,w,\"bgcolor\")||u.color,borderColor:d.castHoverOption(_,w,\"bordercolor\"),fontFamily:d.castHoverOption(_,w,\"font.family\"),fontSize:d.castHoverOption(_,w,\"font.size\"),fontColor:d.castHoverOption(_,w,\"font.color\"),nameLength:d.castHoverOption(_,w,\"namelength\"),textAlign:d.castHoverOption(_,w,\"align\"),hovertemplate:f.castOption(_,w,\"hovertemplate\"),hovertemplateLabels:f.extendFlat({},E,T),eventData:[E]},{container:n,gd:r,inOut_bbox:C}),E.bbox=C[0]}h.buttons&&h.distance<5?r.emit(\"plotly_click\",L):r.emit(\"plotly_hover\",L),this.oldEventData=L}else d.loneUnhover(n),this.oldEventData&&r.emit(\"plotly_unhover\",this.oldEventData),this.oldEventData=void 0;e.drawAnnotations(e)},w.recoverContext=function(){var t=this;t.glplot.dispose();var e=function(){t.glplot.gl.isContextLost()?requestAnimationFrame(e):t.initializeGLPlot()?t.plot.apply(t,t.plotArgs):f.error(\"Catastrophic and unrecoverable WebGL error. Context lost.\")};requestAnimationFrame(e)};var k=[\"xaxis\",\"yaxis\",\"zaxis\"];function A(t,e,r){for(var n=t.fullSceneLayout,i=0;i<3;i++){var a=k[i],o=a.charAt(0),s=n[a],l=e[o],c=e[o+\"calendar\"],u=e[\"_\"+o+\"length\"];if(f.isArrayOrTypedArray(l))for(var h,p=0;p<(u||l.length);p++)if(f.isArrayOrTypedArray(l[p]))for(var d=0;d<l[p].length;++d)h=s.d2l(l[p][d],0,c),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else h=s.d2l(l[p],0,c),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else r[0][i]=Math.min(r[0][i],0),r[1][i]=Math.max(r[1][i],u-1)}}w.plot=function(t,e,r){if(this.plotArgs=[t,e,r],!this.glplot.contextLost){var n,i,a,o,s,l,c=e[this.id],u=r[this.id];this.fullLayout=e,this.fullSceneLayout=c,this.axesOptions.merge(e,c),this.spikeOptions.merge(c),this.setViewport(c),this.updateFx(c.dragmode,c.hovermode),this.camera.enableWheel=this.graphDiv._context._scrollZoom.gl3d,this.glplot.setClearColor(m(c.bgcolor)),this.setConvert(s),t?Array.isArray(t)||(t=[t]):t=[];var f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(a=0;a<t.length;++a)!0===(n=t[a]).visible&&0!==n._length&&A(this,n,f);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],i=0;i<3;i++)for(var a=k[i],o=a.charAt(0),s=r[a],l=0;l<n.length;l++){var c=n[l];if(c.visible){var u=s.r2l(c[o]);!isNaN(u)&&isFinite(u)&&(e[0][i]=Math.min(e[0][i],u),e[1][i]=Math.max(e[1][i],u))}}}(this,f);var h=[1,1,1];for(o=0;o<3;++o)f[1][o]===f[0][o]?h[o]=1:h[o]=1/(f[1][o]-f[0][o]);for(this.dataScale=h,this.convertAnnotations(this),a=0;a<t.length;++a)!0===(n=t[a]).visible&&0!==n._length&&((i=this.traces[n.uid])?i.data.type===n.type?i.update(n):(i.dispose(),i=n._module.plot(this,n),this.traces[n.uid]=i):(i=n._module.plot(this,n),this.traces[n.uid]=i),i.name=n.name);var p=Object.keys(this.traces);t:for(a=0;a<p.length;++a){for(o=0;o<t.length;++o)if(t[o].uid===p[a]&&!0===t[o].visible&&0!==t[o]._length)continue t;(i=this.traces[p[a]]).dispose(),delete this.traces[p[a]]}this.glplot.objects.sort((function(t,e){return t._trace.data.index-e._trace.data.index}));var d,g=[[0,0,0],[0,0,0]],v=[],y={};for(a=0;a<3;++a){if((l=(s=c[k[a]]).type)in y?(y[l].acc*=h[a],y[l].count+=1):y[l]={acc:h[a],count:1},s.autorange){g[0][a]=1/0,g[1][a]=-1/0;var x=this.glplot.objects,b=this.fullSceneLayout.annotations||[],_=s._name.charAt(0);for(o=0;o<x.length;o++){var w=x[o],T=w.bounds,M=w._trace.data._pad||0;\"ErrorBars\"===w.constructor.name&&s._lowerLogErrorBound?g[0][a]=Math.min(g[0][a],s._lowerLogErrorBound):g[0][a]=Math.min(g[0][a],T[0][a]/h[a]-M),g[1][a]=Math.max(g[1][a],T[1][a]/h[a]+M)}for(o=0;o<b.length;o++){var S=b[o];if(S.visible){var E=s.r2l(S[_]);g[0][a]=Math.min(g[0][a],E),g[1][a]=Math.max(g[1][a],E)}}if(\"rangemode\"in s&&\"tozero\"===s.rangemode&&(g[0][a]=Math.min(g[0][a],0),g[1][a]=Math.max(g[1][a],0)),g[0][a]>g[1][a])g[0][a]=-1,g[1][a]=1;else{var L=g[1][a]-g[0][a];g[0][a]-=L/32,g[1][a]+=L/32}if(\"reversed\"===s.autorange){var C=g[0][a];g[0][a]=g[1][a],g[1][a]=C}}else{var P=s.range;g[0][a]=s.r2l(P[0]),g[1][a]=s.r2l(P[1])}g[0][a]===g[1][a]&&(g[0][a]-=1,g[1][a]+=1),v[a]=g[1][a]-g[0][a],this.glplot.setBounds(a,{min:g[0][a]*h[a],max:g[1][a]*h[a]})}var I=c.aspectmode;if(\"cube\"===I)d=[1,1,1];else if(\"manual\"===I){var O=c.aspectratio;d=[O.x,O.y,O.z]}else{if(\"auto\"!==I&&\"data\"!==I)throw new Error(\"scene.js aspectRatio was not one of the enumerated types\");var z=[1,1,1];for(a=0;a<3;++a){var D=y[l=(s=c[k[a]]).type];z[a]=Math.pow(D.acc,1/D.count)/h[a]}d=\"data\"===I||Math.max.apply(null,z)/Math.min.apply(null,z)<=4?z:[1,1,1]}c.aspectratio.x=u.aspectratio.x=d[0],c.aspectratio.y=u.aspectratio.y=d[1],c.aspectratio.z=u.aspectratio.z=d[2],this.glplot.setAspectratio(c.aspectratio),this.viewInitial.aspectratio||(this.viewInitial.aspectratio={x:c.aspectratio.x,y:c.aspectratio.y,z:c.aspectratio.z}),this.viewInitial.aspectmode||(this.viewInitial.aspectmode=c.aspectmode);var R=c.domain||null,F=e._size||null;if(R&&F){var B=this.container.style;B.position=\"absolute\",B.left=F.l+R.x[0]*F.w+\"px\",B.top=F.t+(1-R.y[1])*F.h+\"px\",B.width=F.w*(R.x[1]-R.x[0])+\"px\",B.height=F.h*(R.y[1]-R.y[0])+\"px\"}this.glplot.redraw()}},w.destroy=function(){this.glplot&&(this.camera.mouseListener.enabled=!1,this.container.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null,this.glplot.dispose(),this.container.parentNode.removeChild(this.container),this.glplot=null)},w.getCamera=function(){var t;return this.camera.view.recalcMatrix(this.camera.view.lastT()),{up:{x:(t=this.camera).up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]},projection:{type:!0===t._ortho?\"orthographic\":\"perspective\"}}},w.setViewport=function(t){var e,r=t.camera;this.camera.lookAt.apply(this,[[(e=r).eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]),this.glplot.setAspectratio(t.aspectratio),\"orthographic\"===r.projection.type!==this.camera._ortho&&(this.glplot.redraw(),this.glplot.clearRGBA(),this.glplot.dispose(),this.initializeGLPlot())},w.isCameraChanged=function(t){var e=this.getCamera(),r=f.nestedProperty(t,this.id+\".camera\").get();function n(t,e,r,n){var i=[\"up\",\"center\",\"eye\"],a=[\"x\",\"y\",\"z\"];return e[i[r]]&&t[i[r]][a[n]]===e[i[r]][a[n]]}var i=!1;if(void 0===r)i=!0;else{for(var a=0;a<3;a++)for(var o=0;o<3;o++)if(!n(e,r,a,o)){i=!0;break}(!r.projection||e.projection&&e.projection.type!==r.projection.type)&&(i=!0)}return i},w.isAspectChanged=function(t){var e=this.glplot.getAspectratio(),r=f.nestedProperty(t,this.id+\".aspectratio\").get();return void 0===r||r.x!==e.x||r.y!==e.y||r.z!==e.z},w.saveLayout=function(t){var e,r,n,i,a,o,s=this.fullLayout,l=this.isCameraChanged(t),c=this.isAspectChanged(t),h=l||c;if(h){var p={};if(l&&(e=this.getCamera(),n=(r=f.nestedProperty(t,this.id+\".camera\")).get(),p[this.id+\".camera\"]=n),c&&(i=this.glplot.getAspectratio(),o=(a=f.nestedProperty(t,this.id+\".aspectratio\")).get(),p[this.id+\".aspectratio\"]=o),u.call(\"_storeDirectGUIEdit\",t,s._preGUI,p),l)r.set(e),f.nestedProperty(s,this.id+\".camera\").set(e);if(c)a.set(i),f.nestedProperty(s,this.id+\".aspectratio\").set(i),this.glplot.redraw()}return h},w.updateFx=function(t,e){var r=this.camera;if(r)if(\"orbit\"===t)r.mode=\"orbit\",r.keyBindingMode=\"rotate\";else if(\"turntable\"===t){r.up=[0,0,1],r.mode=\"turntable\",r.keyBindingMode=\"rotate\";var n=this.graphDiv,i=n._fullLayout,a=this.fullSceneLayout.camera,o=a.up.x,s=a.up.y,l=a.up.z;if(l/Math.sqrt(o*o+s*s+l*l)<.999){var c=this.id+\".camera.up\",h={x:0,y:0,z:1},p={};p[c]=h;var d=n.layout;u.call(\"_storeDirectGUIEdit\",d,i._preGUI,p),a.up=h,f.nestedProperty(d,c).set(h)}}else r.keyBindingMode=t;this.fullSceneLayout.hovermode=e},w.toImage=function(t){t||(t=\"png\"),this.staticMode&&this.container.appendChild(n),this.glplot.redraw();var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a),function(t,e,r){for(var n=0,i=r-1;n<i;++n,--i)for(var a=0;a<e;++a)for(var o=0;o<4;++o){var s=4*(e*n+a)+o,l=4*(e*i+a)+o,c=t[s];t[s]=t[l],t[l]=c}}(a,r,i),function(t,e,r){for(var n=0;n<r;++n)for(var i=0;i<e;++i){var a=4*(e*n+i),o=t[a+3];if(o>0)for(var s=255/o,l=0;l<3;++l)t[a+l]=Math.min(s*t[a+l],255)}}(a,r,i);var o=document.createElement(\"canvas\");o.width=r,o.height=i;var s,l=o.getContext(\"2d\",{willReadFrequently:!0}),c=l.createImageData(r,i);switch(c.data.set(a),l.putImageData(c,0,0),t){case\"jpeg\":s=o.toDataURL(\"image/jpeg\");break;case\"webp\":s=o.toDataURL(\"image/webp\");break;default:s=o.toDataURL(\"image/png\")}return this.staticMode&&this.container.removeChild(n),s},w.setConvert=function(){for(var t=0;t<3;t++){var e=this.fullSceneLayout[k[t]];p.setConvert(e,this.fullLayout),e.setScale=f.noop}},w.make4thDimension=function(){var t=this.graphDiv._fullLayout;this._mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},p.setConvert(this._mockAxis,t)},e.exports=_},{\"../../../stackgl_modules\":1133,\"../../components/fx\":407,\"../../lib\":515,\"../../lib/show_no_webgl_msg\":537,\"../../lib/str2rgbarray\":540,\"../../plots/cartesian/axes\":566,\"../../registry\":647,\"./layout/convert\":611,\"./layout/spikes\":614,\"./layout/tick_marks\":615,\"./project\":616,\"has-passive-events\":229,\"webgl-context\":332}],618:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n){n=n||t.length;for(var i=new Array(n),a=0;a<n;a++)i[a]=[t[a],e[a],r[a]];return i}},{}],619:[function(t,e,r){\"use strict\";var n=t(\"./font_attributes\"),i=t(\"./animation_attributes\"),a=t(\"../components/color/attributes\"),o=t(\"../components/shapes/draw_newshape/attributes\"),s=t(\"../components/selections/draw_newselection/attributes\"),l=t(\"./pad_attributes\"),c=t(\"../lib/extend\").extendFlat,u=n({editType:\"calc\"});u.family.dflt='\"Open Sans\", verdana, arial, sans-serif',u.size.dflt=12,u.color.dflt=a.defaultLine,e.exports={font:u,title:{text:{valType:\"string\",editType:\"layoutstyle\"},font:n({editType:\"layoutstyle\"}),xref:{valType:\"enumerated\",dflt:\"container\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},yref:{valType:\"enumerated\",dflt:\"container\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},x:{valType:\"number\",min:0,max:1,dflt:.5,editType:\"layoutstyle\"},y:{valType:\"number\",min:0,max:1,dflt:\"auto\",editType:\"layoutstyle\"},xanchor:{valType:\"enumerated\",dflt:\"auto\",values:[\"auto\",\"left\",\"center\",\"right\"],editType:\"layoutstyle\"},yanchor:{valType:\"enumerated\",dflt:\"auto\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],editType:\"layoutstyle\"},pad:c(l({editType:\"layoutstyle\"}),{}),editType:\"layoutstyle\"},uniformtext:{mode:{valType:\"enumerated\",values:[!1,\"hide\",\"show\"],dflt:!1,editType:\"plot\"},minsize:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},editType:\"plot\"},autosize:{valType:\"boolean\",dflt:!1,editType:\"none\"},width:{valType:\"number\",min:10,dflt:700,editType:\"plot\"},height:{valType:\"number\",min:10,dflt:450,editType:\"plot\"},minreducedwidth:{valType:\"number\",min:2,dflt:64,editType:\"plot\"},minreducedheight:{valType:\"number\",min:2,dflt:64,editType:\"plot\"},margin:{l:{valType:\"number\",min:0,dflt:80,editType:\"plot\"},r:{valType:\"number\",min:0,dflt:80,editType:\"plot\"},t:{valType:\"number\",min:0,dflt:100,editType:\"plot\"},b:{valType:\"number\",min:0,dflt:80,editType:\"plot\"},pad:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},autoexpand:{valType:\"boolean\",dflt:!0,editType:\"plot\"},editType:\"plot\"},computed:{valType:\"any\",editType:\"none\"},paper_bgcolor:{valType:\"color\",dflt:a.background,editType:\"plot\"},plot_bgcolor:{valType:\"color\",dflt:a.background,editType:\"layoutstyle\"},autotypenumbers:{valType:\"enumerated\",values:[\"convert types\",\"strict\"],dflt:\"convert types\",editType:\"calc\"},separators:{valType:\"string\",editType:\"plot\"},hidesources:{valType:\"boolean\",dflt:!1,editType:\"plot\"},showlegend:{valType:\"boolean\",editType:\"legend\"},colorway:{valType:\"colorlist\",dflt:a.defaults,editType:\"calc\"},datarevision:{valType:\"any\",editType:\"calc\"},uirevision:{valType:\"any\",editType:\"none\"},editrevision:{valType:\"any\",editType:\"none\"},selectionrevision:{valType:\"any\",editType:\"none\"},template:{valType:\"any\",editType:\"calc\"},newshape:o.newshape,activeshape:o.activeshape,newselection:s.newselection,activeselection:s.activeselection,meta:{valType:\"any\",arrayOk:!0,editType:\"plot\"},transition:c({},i.transition,{editType:\"none\"}),_deprecated:{title:{valType:\"string\",editType:\"layoutstyle\"},titlefont:n({editType:\"layoutstyle\"})}}},{\"../components/color/attributes\":366,\"../components/selections/draw_newselection/attributes\":451,\"../components/shapes/draw_newshape/attributes\":463,\"../lib/extend\":505,\"./animation_attributes\":560,\"./font_attributes\":594,\"./pad_attributes\":627}],620:[function(t,e,r){\"use strict\";var n=t(\"../../lib/sort_object_keys\"),i='\\xa9 <a target=\"_blank\" href=\"https://www.openstreetmap.org/copyright\">OpenStreetMap</a> contributors',a=['\\xa9 <a target=\"_blank\" href=\"https://carto.com/\">Carto</a>',i].join(\" \"),o=['Map tiles by <a target=\"_blank\" href=\"https://stamen.com\">Stamen Design</a>','under <a target=\"_blank\" href=\"https://creativecommons.org/licenses/by/3.0\">CC BY 3.0</a>',\"|\",'Data by <a target=\"_blank\" href=\"https://openstreetmap.org\">OpenStreetMap</a> contributors','under <a target=\"_blank\" href=\"https://www.openstreetmap.org/copyright\">ODbL</a>'].join(\" \"),s={\"open-street-map\":{id:\"osm\",version:8,sources:{\"plotly-osm-tiles\":{type:\"raster\",attribution:i,tiles:[\"https://a.tile.openstreetmap.org/{z}/{x}/{y}.png\",\"https://b.tile.openstreetmap.org/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-osm-tiles\",type:\"raster\",source:\"plotly-osm-tiles\",minzoom:0,maxzoom:22}]},\"white-bg\":{id:\"white-bg\",version:8,sources:{},layers:[{id:\"white-bg\",type:\"background\",paint:{\"background-color\":\"#FFFFFF\"},minzoom:0,maxzoom:22}]},\"carto-positron\":{id:\"carto-positron\",version:8,sources:{\"plotly-carto-positron\":{type:\"raster\",attribution:a,tiles:[\"https://cartodb-basemaps-c.global.ssl.fastly.net/light_all/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-carto-positron\",type:\"raster\",source:\"plotly-carto-positron\",minzoom:0,maxzoom:22}]},\"carto-darkmatter\":{id:\"carto-darkmatter\",version:8,sources:{\"plotly-carto-darkmatter\":{type:\"raster\",attribution:a,tiles:[\"https://cartodb-basemaps-c.global.ssl.fastly.net/dark_all/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-carto-darkmatter\",type:\"raster\",source:\"plotly-carto-darkmatter\",minzoom:0,maxzoom:22}]},\"stamen-terrain\":{id:\"stamen-terrain\",version:8,sources:{\"plotly-stamen-terrain\":{type:\"raster\",attribution:o,tiles:[\"https://stamen-tiles.a.ssl.fastly.net/terrain/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-stamen-terrain\",type:\"raster\",source:\"plotly-stamen-terrain\",minzoom:0,maxzoom:22}]},\"stamen-toner\":{id:\"stamen-toner\",version:8,sources:{\"plotly-stamen-toner\":{type:\"raster\",attribution:o,tiles:[\"https://stamen-tiles.a.ssl.fastly.net/toner/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-stamen-toner\",type:\"raster\",source:\"plotly-stamen-toner\",minzoom:0,maxzoom:22}]},\"stamen-watercolor\":{id:\"stamen-watercolor\",version:8,sources:{\"plotly-stamen-watercolor\":{type:\"raster\",attribution:['Map tiles by <a target=\"_blank\" href=\"https://stamen.com\">Stamen Design</a>','under <a target=\"_blank\" href=\"https://creativecommons.org/licenses/by/3.0\">CC BY 3.0</a>',\"|\",'Data by <a target=\"_blank\" href=\"https://openstreetmap.org\">OpenStreetMap</a> contributors','under <a target=\"_blank\" href=\"https://creativecommons.org/licenses/by-sa/3.0\">CC BY SA</a>'].join(\" \"),tiles:[\"https://stamen-tiles.a.ssl.fastly.net/watercolor/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-stamen-watercolor\",type:\"raster\",source:\"plotly-stamen-watercolor\",minzoom:0,maxzoom:22}]}},l=n(s);e.exports={requiredVersion:\"1.10.1\",styleUrlPrefix:\"mapbox://styles/mapbox/\",styleUrlSuffix:\"v9\",styleValuesMapbox:[\"basic\",\"streets\",\"outdoors\",\"light\",\"dark\",\"satellite\",\"satellite-streets\"],styleValueDflt:\"basic\",stylesNonMapbox:s,styleValuesNonMapbox:l,traceLayerPrefix:\"plotly-trace-layer-\",layoutLayerPrefix:\"plotly-layout-layer-\",wrongVersionErrorMsg:[\"Your 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b=u.bBox(x.node()),_=n.w*(h.x[1]-h.x[0]);if(b.width>_/2){var w=v.split(\"|\").join(\"<br>\");x.text(w).attr(\"data-unformatted\",w).call(f.convertToTspans,t),b=u.bBox(x.node())}x.attr(\"transform\",a(-3,8-b.height)),y.insert(\"rect\",\".static-attribution\").attr({x:-b.width-6,y:-b.height-3,width:b.width+6,height:b.height+3,fill:\"rgba(255, 255, 255, 0.75)\"});var T=1;b.width+6>_&&(T=_/(b.width+6));var k=[n.l+n.w*h.x[1],n.t+n.h*(1-h.y[0])];y.attr(\"transform\",a(k[0],k[1])+o(T))}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.mapbox,n=0;n<r.length;n++){e[r[n]]._subplot.updateFx(e)}}},{\"../../components/drawing\":389,\"../../constants/xmlns_namespaces\":492,\"../../lib\":515,\"../../lib/svg_text_utils\":541,\"../../plots/get_data\":602,\"./constants\":620,\"./layout_attributes\":624,\"./layout_defaults\":625,\"./mapbox\":626,\"@plotly/d3\":58,\"mapbox-gl/dist/mapbox-gl-unminified\":239}],623:[function(t,e,r){\"use strict\";var 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e={},r={};switch(t.type){case\"circle\":n.extendFlat(r,{\"circle-radius\":t.circle.radius,\"circle-color\":t.color,\"circle-opacity\":t.opacity});break;case\"line\":n.extendFlat(r,{\"line-width\":t.line.width,\"line-color\":t.color,\"line-opacity\":t.opacity,\"line-dasharray\":t.line.dash});break;case\"fill\":n.extendFlat(r,{\"fill-color\":t.color,\"fill-outline-color\":t.fill.outlinecolor,\"fill-opacity\":t.opacity});break;case\"symbol\":var i=t.symbol,o=a(i.textposition,i.iconsize);n.extendFlat(e,{\"icon-image\":i.icon+\"-15\",\"icon-size\":i.iconsize/10,\"text-field\":i.text,\"text-size\":i.textfont.size,\"text-anchor\":o.anchor,\"text-offset\":o.offset,\"symbol-placement\":i.placement}),n.extendFlat(r,{\"icon-color\":t.color,\"text-color\":i.textfont.color,\"text-opacity\":t.opacity});break;case\"raster\":n.extendFlat(r,{\"raster-fade-duration\":0,\"raster-opacity\":t.opacity})}return{layout:e,paint:r}}l.update=function(t){this.visible?this.needsNewImage(t)?this.updateImage(t):this.needsNewSource(t)?(this.removeLayer(),this.updateSource(t),this.updateLayer(t)):this.needsNewLayer(t)?this.updateLayer(t):this.updateStyle(t):(this.updateSource(t),this.updateLayer(t)),this.visible=c(t)},l.needsNewImage=function(t){return this.subplot.map.getSource(this.idSource)&&\"image\"===this.sourceType&&\"image\"===t.sourcetype&&(this.source!==t.source||JSON.stringify(this.coordinates)!==JSON.stringify(t.coordinates))},l.needsNewSource=function(t){return this.sourceType!==t.sourcetype||JSON.stringify(this.source)!==JSON.stringify(t.source)||this.layerType!==t.type},l.needsNewLayer=function(t){return this.layerType!==t.type||this.below!==this.subplot.belowLookup[\"layout-\"+this.index]},l.lookupBelow=function(){return this.subplot.belowLookup[\"layout-\"+this.index]},l.updateImage=function(t){this.subplot.map.getSource(this.idSource).updateImage({url:t.source,coordinates:t.coordinates});var e=this.findFollowingMapboxLayerId(this.lookupBelow());null!==e&&this.subplot.map.moveLayer(this.idLayer,e)},l.updateSource=function(t){var e=this.subplot.map;if(e.getSource(this.idSource)&&e.removeSource(this.idSource),this.sourceType=t.sourcetype,this.source=t.source,c(t)){var r=function(t){var e,r=t.sourcetype,n=t.source,a={type:r};\"geojson\"===r?e=\"data\":\"vector\"===r?e=\"string\"==typeof n?\"url\":\"tiles\":\"raster\"===r?(e=\"tiles\",a.tileSize=256):\"image\"===r&&(e=\"url\",a.coordinates=t.coordinates);a[e]=n,t.sourceattribution&&(a.attribution=i(t.sourceattribution));return a}(t);e.addSource(this.idSource,r)}},l.findFollowingMapboxLayerId=function(t){if(\"traces\"===t)for(var e=this.subplot.getMapLayers(),r=0;r<e.length;r++){var n=e[r].id;if(\"string\"==typeof n&&0===n.indexOf(o.traceLayerPrefix)){t=n;break}}return t},l.updateLayer=function(t){var e=this.subplot,r=u(t),n=this.lookupBelow(),i=this.findFollowingMapboxLayerId(n);this.removeLayer(),c(t)&&e.addLayer({id:this.idLayer,source:this.idSource,\"source-layer\":t.sourcelayer||\"\",type:t.type,minzoom:t.minzoom,maxzoom:t.maxzoom,layout:r.layout,paint:r.paint},i),this.layerType=t.type,this.below=n},l.updateStyle=function(t){if(c(t)){var e=u(t);this.subplot.setOptions(this.idLayer,\"setLayoutProperty\",e.layout),this.subplot.setOptions(this.idLayer,\"setPaintProperty\",e.paint)}},l.removeLayer=function(){var t=this.subplot.map;t.getLayer(this.idLayer)&&t.removeLayer(this.idLayer)},l.dispose=function(){var t=this.subplot.map;t.getLayer(this.idLayer)&&t.removeLayer(this.idLayer),t.getSource(this.idSource)&&t.removeSource(this.idSource)},e.exports=function(t,e,r){var n=new s(t,e);return n.update(r),n}},{\"../../lib\":515,\"../../lib/svg_text_utils\":541,\"./constants\":620,\"./convert_text_opts\":621}],624:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/color\").defaultLine,a=t(\"../domain\").attributes,o=t(\"../font_attributes\"),s=t(\"../../traces/scatter/attributes\").textposition,l=t(\"../../plot_api/edit_types\").overrideAll,c=t(\"../../plot_api/plot_template\").templatedArray,u=t(\"./constants\"),f=o({});f.family.dflt=\"Open Sans Regular, Arial Unicode MS 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n=t(\"mapbox-gl/dist/mapbox-gl-unminified\"),i=t(\"../../lib\"),a=t(\"../../lib/geo_location_utils\"),o=t(\"../../registry\"),s=t(\"../cartesian/axes\"),l=t(\"../../components/dragelement\"),c=t(\"../../components/fx\"),u=t(\"../../components/dragelement/helpers\"),f=u.drawMode,h=u.selectMode,p=t(\"../../components/selections\").prepSelect,d=t(\"../../components/selections\").clearOutline,m=t(\"../../components/selections\").clearSelectionsCache,g=t(\"../../components/selections\").selectOnClick,v=t(\"./constants\"),y=t(\"./layers\");function x(t,e){this.id=e,this.gd=t;var r=t._fullLayout,n=t._context;this.container=r._glcontainer.node(),this.isStatic=n.staticPlot,this.uid=r._uid+\"-\"+this.id,this.div=null,this.xaxis=null,this.yaxis=null,this.createFramework(r),this.map=null,this.accessToken=null,this.styleObj=null,this.traceHash={},this.layerList=[],this.belowLookup={},this.dragging=!1,this.wheeling=!1}var b=x.prototype;b.plot=function(t,e,r){var n,i=this,a=e[i.id];i.map&&a.accesstoken!==i.accessToken&&(i.map.remove(),i.map=null,i.styleObj=null,i.traceHash={},i.layerList=[]),n=i.map?new Promise((function(r,n){i.updateMap(t,e,r,n)})):new Promise((function(r,n){i.createMap(t,e,r,n)})),r.push(n)},b.createMap=function(t,e,r,i){var o=this,s=e[o.id],l=o.styleObj=w(s.style);o.accessToken=s.accesstoken;var c=s.bounds,u=c?[[c.west,c.south],[c.east,c.north]]:null,f=o.map=new n.Map({container:o.div,style:l.style,center:k(s.center),zoom:s.zoom,bearing:s.bearing,pitch:s.pitch,maxBounds:u,interactive:!o.isStatic,preserveDrawingBuffer:o.isStatic,doubleClickZoom:!1,boxZoom:!1,attributionControl:!1}).addControl(new n.AttributionControl({compact:!0}));f._canvas.style.left=\"0px\",f._canvas.style.top=\"0px\",o.rejectOnError(i),o.isStatic||o.initFx(t,e);var h=[];h.push(new 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u,f,h={};for(u in a)h[n=a[u]]?h[n].push(u):h[n]=[u];for(n in h){var p=h[n];if(p.length>1)for(r=0;r<p.length;r++)0===(u=p[r]).indexOf(\"trace-\")?(f=u.split(\"trace-\")[1],this.traceHash[f]&&(this.traceHash[f].below=null)):0===u.indexOf(\"layout-\")&&(f=u.split(\"layout-\")[1],this.layerList[f]&&(this.layerList[f].below=null))}};var _={choroplethmapbox:0,densitymapbox:1,scattermapbox:2};function w(t){var e={};return i.isPlainObject(t)?(e.id=t.id,e.style=t):\"string\"==typeof t?(e.id=t,-1!==v.styleValuesMapbox.indexOf(t)?e.style=T(t):v.stylesNonMapbox[t]?e.style=v.stylesNonMapbox[t]:e.style=t):(e.id=v.styleValueDflt,e.style=T(v.styleValueDflt)),e.transition={duration:0,delay:0},e}function T(t){return v.styleUrlPrefix+t+\"-\"+v.styleUrlSuffix}function k(t){return[t.lon,t.lat]}b.updateData=function(t){var e,r,n,i,a=this.traceHash,o=t.slice().sort((function(t,e){return _[t[0].trace.type]-_[e[0].trace.type]}));for(n=0;n<o.length;n++){var s=o[n],l=!1;(e=a[(r=s[0].trace).uid])&&(e.type===r.type?(e.update(s),l=!0):e.dispose()),!l&&r._module&&(a[r.uid]=r._module.plot(this,s))}var c=Object.keys(a);t:for(n=0;n<c.length;n++){var u=c[n];for(i=0;i<t.length;i++)if(u===(r=t[i][0].trace).uid)continue t;(e=a[u]).dispose(),delete a[u]}},b.updateLayout=function(t){var e=this.map,r=t[this.id];this.dragging||this.wheeling||(e.setCenter(k(r.center)),e.setZoom(r.zoom),e.setBearing(r.bearing),e.setPitch(r.pitch)),this.updateLayers(t),this.updateFramework(t),this.updateFx(t),this.map.resize(),this.gd._context._scrollZoom.mapbox?e.scrollZoom.enable():e.scrollZoom.disable()},b.resolveOnRender=function(t){var e=this.map;e.on(\"render\",(function r(){e.loaded()&&(e.off(\"render\",r),setTimeout(t,10))}))},b.rejectOnError=function(t){var e=this.map;function r(){t(new 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n=t(\"@plotly/d3\"),i=t(\"tinycolor2\"),a=t(\"../../registry\"),o=t(\"../../lib\"),s=o.strRotate,l=o.strTranslate,c=t(\"../../components/color\"),u=t(\"../../components/drawing\"),f=t(\"../plots\"),h=t(\"../../plots/cartesian/axes\"),p=t(\"../cartesian/set_convert\"),d=t(\"./set_convert\"),m=t(\"../cartesian/autorange\").doAutoRange,g=t(\"../cartesian/dragbox\"),v=t(\"../../components/dragelement\"),y=t(\"../../components/fx\"),x=t(\"../../components/titles\"),b=t(\"../../components/selections\").prepSelect,_=t(\"../../components/selections\").selectOnClick,w=t(\"../../components/selections\").clearOutline,T=t(\"../../lib/setcursor\"),k=t(\"../../lib/clear_gl_canvases\"),A=t(\"../../plot_api/subroutines\").redrawReglTraces,M=t(\"../../constants/alignment\").MID_SHIFT,S=t(\"./constants\"),E=t(\"./helpers\"),L=t(\"../smith/helpers\"),C=L.smith,P=L.reactanceArc,I=L.resistanceArc,O=L.smithTransform,z=o._,D=o.mod,R=o.deg2rad,F=o.rad2deg;function B(t,e,r){this.isSmith=r||!1,this.id=e,this.gd=t,this._hasClipOnAxisFalse=null,this.vangles=null,this.radialAxisAngle=null,this.traceHash={},this.layers={},this.clipPaths={},this.clipIds={},this.viewInitial={};var n=t._fullLayout,i=\"clip\"+n._uid+e;this.clipIds.forTraces=i+\"-for-traces\",this.clipPaths.forTraces=n._clips.append(\"clipPath\").attr(\"id\",this.clipIds.forTraces),this.clipPaths.forTraces.append(\"path\"),this.framework=n[\"_\"+(r?\"smith\":\"polar\")+\"layer\"].append(\"g\").attr(\"class\",e),this.getHole=function(t){return this.isSmith?0:t.hole},this.getSector=function(t){return this.isSmith?[0,360]:t.sector},this.getRadial=function(t){return this.isSmith?t.realaxis:t.radialaxis},this.getAngular=function(t){return this.isSmith?t.imaginaryaxis:t.angularaxis},r||(this.radialTickLayout=null,this.angularTickLayout=null)}var N=B.prototype;function j(t){var e=t.ticks+String(t.ticklen)+String(t.showticklabels);return\"side\"in t&&(e+=t.side),e}function U(t,e){return 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n=t(\"../../components/color/attributes\"),i=t(\"../domain\").attributes,a=t(\"../cartesian/layout_attributes\"),o=t(\"../../plot_api/edit_types\").overrideAll,s=t(\"../../lib/extend\").extendFlat,l={title:{text:a.title.text,font:a.title.font},color:a.color,tickmode:a.tickmode,nticks:s({},a.nticks,{dflt:6,min:1}),tick0:a.tick0,dtick:a.dtick,tickvals:a.tickvals,ticktext:a.ticktext,ticks:a.ticks,ticklen:a.ticklen,tickwidth:a.tickwidth,tickcolor:a.tickcolor,ticklabelstep:a.ticklabelstep,showticklabels:a.showticklabels,showtickprefix:a.showtickprefix,tickprefix:a.tickprefix,showticksuffix:a.showticksuffix,ticksuffix:a.ticksuffix,showexponent:a.showexponent,exponentformat:a.exponentformat,minexponent:a.minexponent,separatethousands:a.separatethousands,tickfont:a.tickfont,tickangle:a.tickangle,tickformat:a.tickformat,tickformatstops:a.tickformatstops,hoverformat:a.hoverformat,showline:s({},a.showline,{dflt:!0}),linecolor:a.linecolor,linewidth:a.linewidth,showgrid:s({},a.showgrid,{dflt:!0}),gridcolor:a.gridcolor,gridwidth:a.gridwidth,griddash:a.griddash,layer:a.layer,min:{valType:\"number\",dflt:0,min:0},_deprecated:{title:a._deprecated.title,titlefont:a._deprecated.titlefont}},c=e.exports=o({domain:i({name:\"ternary\"}),bgcolor:{valType:\"color\",dflt:n.background},sum:{valType:\"number\",dflt:1,min:0},aaxis:l,baxis:l,caxis:l},\"plot\",\"from-root\");c.uirevision={valType:\"any\",editType:\"none\"},c.aaxis.uirevision=c.baxis.uirevision=c.caxis.uirevision={valType:\"any\",editType:\"none\"}},{\"../../components/color/attributes\":366,\"../../lib/extend\":505,\"../../plot_api/edit_types\":548,\"../cartesian/layout_attributes\":579,\"../domain\":593}],645:[function(t,e,r){\"use 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r,n,i,a,o,l,p=this,d=t.domain,m=(d.x[0]+d.x[1])/2,g=(d.y[0]+d.y[1])/2,v=d.x[1]-d.x[0],y=d.y[1]-d.y[0],x=v*e.w,b=y*e.h,_=t.sum,w=t.aaxis.min,T=t.baxis.min,k=t.caxis.min;x>E*b?i=(a=b)*E:a=(i=x)/E,o=v*i/x,l=y*a/b,r=e.l+e.w*m-i/2,n=e.t+e.h*(1-g)-a/2,p.x0=r,p.y0=n,p.w=i,p.h=a,p.sum=_,p.xaxis={type:\"linear\",range:[w+2*k-_,_-w-2*T],domain:[m-o/2,m+o/2],_id:\"x\"},f(p.xaxis,p.graphDiv._fullLayout),p.xaxis.setScale(),p.xaxis.isPtWithinRange=function(t){return t.a>=p.aaxis.range[0]&&t.a<=p.aaxis.range[1]&&t.b>=p.baxis.range[1]&&t.b<=p.baxis.range[0]&&t.c>=p.caxis.range[1]&&t.c<=p.caxis.range[0]},p.yaxis={type:\"linear\",range:[w,_-T-k],domain:[g-l/2,g+l/2],_id:\"y\"},f(p.yaxis,p.graphDiv._fullLayout),p.yaxis.setScale(),p.yaxis.isPtWithinRange=function(){return!0};var A=p.yaxis.domain[0],M=p.aaxis=h({},t.aaxis,{range:[w,_-T-k],side:\"left\",tickangle:(+t.aaxis.tickangle||0)-30,domain:[A,A+l*E],anchor:\"free\",position:0,_id:\"y\",_length:i});f(M,p.graphDiv._fullLayout),M.setScale();var 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n=t(\"../choropleth/attributes\"),i=t(\"../../components/colorscale/attributes\"),a=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../../plots/attributes\"),s=t(\"../../lib/extend\").extendFlat;e.exports=s({locations:{valType:\"data_array\",editType:\"calc\"},z:{valType:\"data_array\",editType:\"calc\"},geojson:{valType:\"any\",editType:\"calc\"},featureidkey:s({},n.featureidkey,{}),below:{valType:\"string\",editType:\"plot\"},text:n.text,hovertext:n.hovertext,marker:{line:{color:s({},n.marker.line.color,{editType:\"plot\"}),width:s({},n.marker.line.width,{editType:\"plot\"}),editType:\"calc\"},opacity:s({},n.marker.opacity,{editType:\"plot\"}),editType:\"calc\"},selected:{marker:{opacity:s({},n.selected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},unselected:{marker:{opacity:s({},n.unselected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},hoverinfo:n.hoverinfo,hovertemplate:a({},{keys:[\"properties\"]}),showlegend:s({},o.showlegend,{dflt:!1})},i(\"\",{cLetter:\"z\",editTypeOverride:\"calc\"}))},{\"../../components/colorscale/attributes\":374,\"../../lib/extend\":505,\"../../plots/attributes\":562,\"../../plots/template_attributes\":642,\"../choropleth/attributes\":725}],735:[function(t,e,r){\"use 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p,d,m,g=a.makeColorScaleFuncFromTrace(e),v=e.marker,y=v.line||{};i.isArrayOrTypedArray(v.opacity)&&(p=function(t){var e=t.mo;return n(e)?+i.constrain(e,0,1):0}),i.isArrayOrTypedArray(y.color)&&(d=function(t){return t.mlc}),i.isArrayOrTypedArray(y.width)&&(m=function(t){return t.mlw});for(var x=0;x<t.length;x++){var b=t[x],_=b.fOut;if(_){var w=_.properties;w.fc=g(b.z),p&&(w.mo=p(b)),d&&(w.mlc=d(b)),m&&(w.mlw=m(b)),b.ct=w.ct,b._polygons=l.feature2polygons(_)}}var T=p?{type:\"identity\",property:\"mo\"}:v.opacity;return i.extendFlat(o.paint,{\"fill-color\":{type:\"identity\",property:\"fc\"},\"fill-opacity\":T}),i.extendFlat(u.paint,{\"line-color\":d?{type:\"identity\",property:\"mlc\"}:y.color,\"line-width\":m?{type:\"identity\",property:\"mlw\"}:y.width,\"line-opacity\":T}),o.layout.visibility=\"visible\",u.layout.visibility=\"visible\",f.geojson={type:\"FeatureCollection\",features:h},c(t),f},convertOnSelect:c}},{\"../../components/colorscale\":379,\"../../components/drawing\":389,\"../../lib\":515,\"../../lib/geo_location_utils\":508,\"../../lib/geojson_utils\":509,\"fast-isnumeric\":190}],736:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/colorscale/defaults\"),a=t(\"./attributes\");e.exports=function(t,e,r,o){function s(r,i){return n.coerce(t,e,a,r,i)}var l=s(\"locations\"),c=s(\"z\"),u=s(\"geojson\");n.isArrayOrTypedArray(l)&&l.length&&n.isArrayOrTypedArray(c)&&c.length&&(\"string\"==typeof 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n=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,a=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../mesh3d/attributes\"),s=t(\"../../plots/attributes\"),l=t(\"../../lib/extend\").extendFlat,c={x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},u:{valType:\"data_array\",editType:\"calc\"},v:{valType:\"data_array\",editType:\"calc\"},w:{valType:\"data_array\",editType:\"calc\"},sizemode:{valType:\"enumerated\",values:[\"scaled\",\"absolute\"],editType:\"calc\",dflt:\"scaled\"},sizeref:{valType:\"number\",editType:\"calc\",min:0},anchor:{valType:\"enumerated\",editType:\"calc\",values:[\"tip\",\"tail\",\"cm\",\"center\"],dflt:\"cm\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertemplate:a({editType:\"calc\"},{keys:[\"norm\"]}),uhoverformat:i(\"u\",1),vhoverformat:i(\"v\",1),whoverformat:i(\"w\",1),xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),zhoverformat:i(\"z\"),showlegend:l({},s.showlegend,{dflt:!1})};l(c,n(\"\",{colorAttr:\"u/v/w 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f={xaxis:0,yaxis:1,zaxis:2},h={tip:1,tail:0,cm:.25,center:.5},p={tip:1,tail:1,cm:.75,center:.5};function d(t,e){var r=t.fullSceneLayout,i=t.dataScale,c={};function u(t,e){var n=r[e],o=i[f[e]];return a(t,(function(t){return n.d2l(t)*o}))}c.vectors=l(u(e.u,\"xaxis\"),u(e.v,\"yaxis\"),u(e.w,\"zaxis\"),e._len),c.positions=l(u(e.x,\"xaxis\"),u(e.y,\"yaxis\"),u(e.z,\"zaxis\"),e._len);var d=s(e);c.colormap=o(e),c.vertexIntensityBounds=[d.min/e._normMax,d.max/e._normMax],c.coneOffset=h[e.anchor],\"scaled\"===e.sizemode?c.coneSize=e.sizeref||.5:c.coneSize=e.sizeref&&e._normMax?e.sizeref/e._normMax:.5;var m=n(c),g=e.lightposition;return m.lightPosition=[g.x,g.y,g.z],m.ambient=e.lighting.ambient,m.diffuse=e.lighting.diffuse,m.specular=e.lighting.specular,m.roughness=e.lighting.roughness,m.fresnel=e.lighting.fresnel,m.opacity=e.opacity,e._pad=p[e.anchor]*m.vectorScale*m.coneScale*e._normMax,m}u.update=function(t){this.data=t;var 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n=t(\"../../components/colorscale/defaults\"),i=t(\"./label_defaults\");e.exports=function(t,e,r,a,o){var s,l=r(\"contours.coloring\"),c=\"\";\"fill\"===l&&(s=r(\"contours.showlines\")),!1!==s&&(\"lines\"!==l&&(c=r(\"line.color\",\"#000\")),r(\"line.width\",.5),r(\"line.dash\")),\"none\"!==l&&(!0!==t.showlegend&&(e.showlegend=!1),e._dfltShowLegend=!1,n(t,e,a,r,{prefix:\"\",cLetter:\"z\"})),r(\"line.smoothing\"),i(r,a,c,o)}},{\"../../components/colorscale/defaults\":377,\"./label_defaults\":759}],766:[function(t,e,r){\"use strict\";var n=t(\"../heatmap/attributes\"),i=t(\"../contour/attributes\"),a=t(\"../../components/colorscale/attributes\"),o=t(\"../../lib/extend\").extendFlat,s=i.contours;e.exports=o({carpet:{valType:\"string\",editType:\"calc\"},z:n.z,a:n.x,a0:n.x0,da:n.dx,b:n.y,b0:n.y0,db:n.dy,text:n.text,hovertext:n.hovertext,transpose:n.transpose,atype:n.xtype,btype:n.ytype,fillcolor:i.fillcolor,autocontour:i.autocontour,ncontours:i.ncontours,contours:{type:s.type,start:s.start,end:s.end,size:s.size,coloring:{valType:\"enumerated\",values:[\"fill\",\"lines\",\"none\"],dflt:\"fill\",editType:\"calc\"},showlines:s.showlines,showlabels:s.showlabels,labelfont:s.labelfont,labelformat:s.labelformat,operation:s.operation,value:s.value,editType:\"calc\",impliedEdits:{autocontour:!1}},line:{color:i.line.color,width:i.line.width,dash:i.line.dash,smoothing:i.line.smoothing,editType:\"plot\"},transforms:void 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n=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/template_attributes\").hovertemplateAttrs,a=t(\"../../plots/attributes\"),o=t(\"../scattermapbox/attributes\"),s=t(\"../../lib/extend\").extendFlat;e.exports=s({lon:o.lon,lat:o.lat,z:{valType:\"data_array\",editType:\"calc\"},radius:{valType:\"number\",editType:\"plot\",arrayOk:!0,min:1,dflt:30},below:{valType:\"string\",editType:\"plot\"},text:o.text,hovertext:o.hovertext,hoverinfo:s({},a.hoverinfo,{flags:[\"lon\",\"lat\",\"z\",\"text\",\"name\"]}),hovertemplate:i(),showlegend:s({},a.showlegend,{dflt:!1})},n(\"\",{cLetter:\"z\",editTypeOverride:\"calc\"}))},{\"../../components/colorscale/attributes\":374,\"../../lib/extend\":505,\"../../plots/attributes\":562,\"../../plots/template_attributes\":642,\"../scattermapbox/attributes\":1002}],772:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib\").isArrayOrTypedArray,a=t(\"../../constants/numerical\").BADNUM,o=t(\"../../components/colorscale/calc\"),s=t(\"../../lib\")._;e.exports=function(t,e){for(var r=e._length,l=new Array(r),c=e.z,u=i(c)&&c.length,f=0;f<r;f++){var h=l[f]={},p=e.lon[f],d=e.lat[f];if(h.lonlat=n(p)&&n(d)?[+p,+d]:[a,a],u){var m=c[f];h.z=n(m)?m:a}}return o(t,e,{vals:u?c:[0,1],containerStr:\"\",cLetter:\"z\"}),r&&(l[0].t={labels:{lat:s(t,\"lat:\")+\" \",lon:s(t,\"lon:\")+\" \"}}),l}},{\"../../components/colorscale/calc\":375,\"../../constants/numerical\":491,\"../../lib\":515,\"fast-isnumeric\":190}],773:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib\"),a=t(\"../../components/color\"),o=t(\"../../components/colorscale\"),s=t(\"../../constants/numerical\").BADNUM,l=t(\"../../lib/geojson_utils\").makeBlank;e.exports=function(t){var e=t[0].trace,r=!0===e.visible&&0!==e._length,c=e._opts={heatmap:{layout:{visibility:\"none\"},paint:{}},geojson:l()};if(!r)return c;var u,f=[],h=e.z,p=e.radius,d=i.isArrayOrTypedArray(h)&&h.length,m=i.isArrayOrTypedArray(p);for(u=0;u<t.length;u++){var g=t[u],v=g.lonlat;if(v[0]!==s){var y={};if(d){var x=g.z;y.z=x!==s?x:0}m&&(y.r=n(p[u])&&p[u]>0?+p[u]:0),f.push({type:\"Feature\",geometry:{type:\"Point\",coordinates:v},properties:y})}}var b=o.extractOpts(e),_=b.reversescale?o.flipScale(b.colorscale):b.colorscale,w=_[0][1],T=[\"interpolate\",[\"linear\"],[\"heatmap-density\"],0,a.opacity(w)<1?w:a.addOpacity(w,0)];for(u=1;u<_.length;u++)T.push(_[u][0],_[u][1]);var k=[\"interpolate\",[\"linear\"],[\"get\",\"z\"],b.min,0,b.max,1];return i.extendFlat(c.heatmap.paint,{\"heatmap-weight\":d?k:1/(b.max-b.min),\"heatmap-color\":T,\"heatmap-radius\":m?{type:\"identity\",property:\"r\"}:e.radius,\"heatmap-opacity\":e.opacity}),c.geojson={type:\"FeatureCollection\",features:f},c.heatmap.layout.visibility=\"visible\",c}},{\"../../components/color\":367,\"../../components/colorscale\":379,\"../../constants/numerical\":491,\"../../lib\":515,\"../../lib/geojson_utils\":509,\"fast-isnumeric\":190}],774:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/colorscale/defaults\"),a=t(\"./attributes\");e.exports=function(t,e,r,o){function s(r,i){return n.coerce(t,e,a,r,i)}var l=s(\"lon\")||[],c=s(\"lat\")||[],u=Math.min(l.length,c.length);u?(e._length=u,s(\"z\"),s(\"radius\"),s(\"below\"),s(\"text\"),s(\"hovertext\"),s(\"hovertemplate\"),i(t,e,o,s,{prefix:\"\",cLetter:\"z\"})):e.visible=!1}},{\"../../components/colorscale/defaults\":377,\"../../lib\":515,\"./attributes\":771}],775:[function(t,e,r){\"use 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a&&-1===a.indexOf(\"plotly-\"))return a}},moduleType:\"trace\",name:\"densitymapbox\",basePlotModule:t(\"../../plots/mapbox\"),categories:[\"mapbox\",\"gl\",\"showLegend\"],meta:{hr_name:\"density_mapbox\"}}},{\"../../plots/mapbox\":622,\"../heatmap/colorbar\":804,\"../scattermapbox/format_labels\":1006,\"./attributes\":771,\"./calc\":772,\"./defaults\":774,\"./event_data\":775,\"./hover\":776,\"./plot\":778}],778:[function(t,e,r){\"use strict\";var n=t(\"./convert\"),i=t(\"../../plots/mapbox/constants\").traceLayerPrefix;function a(t,e){this.type=\"densitymapbox\",this.subplot=t,this.uid=e,this.sourceId=\"source-\"+e,this.layerList=[[\"heatmap\",i+e+\"-heatmap\"]],this.below=null}var o=a.prototype;o.update=function(t){var e=this.subplot,r=this.layerList,i=n(t),a=e.belowLookup[\"trace-\"+this.uid];e.map.getSource(this.sourceId).setData(i.geojson),a!==this.below&&(this._removeLayers(),this._addLayers(i,a),this.below=a);for(var o=0;o<r.length;o++){var 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t=i.numbersScaler(h);D+=t[2];var e,r=S(m,\"numbersScale\",1,t[0],D,Math.min);m._scaleNumbers||(r=1),e=m._isAngular?v-r*h.bottom:v-r*(h.top+h.bottom)/2,m._numbersTop=r*h.top+e;var n=h[T];\"center\"===T&&(n=(h.left+h.right)/2);var a=g-r*n;return a=S(m,\"numbersTranslate\",0,a,D,Math.max),l(a,e)+s(r)}))}(t,O,e,{numbersX:m,numbersY:E,numbersScaler:L,transitionOpts:r,onComplete:g}),z&&(C={range:I.gauge.axis.range,color:I.gauge.bgcolor,line:{color:I.gauge.bordercolor,width:0},thickness:1},P={range:I.gauge.axis.range,color:\"rgba(0, 0, 0, 0)\",line:{color:I.gauge.bordercolor,width:I.gauge.borderwidth},thickness:1});var Y=O.selectAll(\"g.angular\").data(D?e:[]);Y.exit().remove();var W=O.selectAll(\"g.angularaxis\").data(D?e:[]);W.exit().remove(),D&&function(t,e,r,a){var o,s,f,h,p=r[0].trace,m=a.size,g=a.radius,v=a.innerRadius,y=a.gaugeBg,x=a.gaugeOutline,b=[m.l+m.w/2,m.t+m.h/2+g/2],_=a.gauge,A=a.layer,M=a.transitionOpts,S=a.onComplete,E=Math.PI/2;function L(t){var e=p.gauge.axis.range[0],r=(t-e)/(p.gauge.axis.range[1]-e)*Math.PI-E;return r<-E?-E:r>E?E:r}function C(t){return n.svg.arc().innerRadius((v+g)/2-t/2*(g-v)).outerRadius((v+g)/2+t/2*(g-v)).startAngle(-E)}function P(t){t.attr(\"d\",(function(t){return C(t.thickness).startAngle(L(t.range[0])).endAngle(L(t.range[1]))()}))}_.enter().append(\"g\").classed(\"angular\",!0),_.attr(\"transform\",l(b[0],b[1])),A.enter().append(\"g\").classed(\"angularaxis\",!0).classed(\"crisp\",!0),A.selectAll(\"g.xangularaxistick,path,text\").remove(),(o=k(t,p.gauge.axis)).type=\"linear\",o.range=p.gauge.axis.range,o._id=\"xangularaxis\",o.ticklabeloverflow=\"allow\",o.setScale();var I=function(t){return(o.range[0]-t.x)/(o.range[1]-o.range[0])*Math.PI+Math.PI},O={},z=d.makeLabelFns(o,0).labelStandoff;O.xFn=function(t){var e=I(t);return Math.cos(e)*z},O.yFn=function(t){var e=I(t),r=Math.sin(e)>0?.2:1;return-Math.sin(e)*(z+t.fontSize*r)+Math.abs(Math.cos(e))*(t.fontSize*u)},O.anchorFn=function(t){var e=I(t),r=Math.cos(e);return Math.abs(r)<.1?\"middle\":r>0?\"start\":\"end\"},O.heightFn=function(t,e,r){var n=I(t);return-.5*(1+Math.sin(n))*r};var D=function(t){return l(b[0]+g*Math.cos(t),b[1]-g*Math.sin(t))};f=function(t){return D(I(t))};if(s=d.calcTicks(o),h=d.getTickSigns(o)[2],o.visible){h=\"inside\"===o.ticks?-1:1;var R=(o.linewidth||1)/2;d.drawTicks(t,o,{vals:s,layer:A,path:\"M\"+h*R+\",0h\"+h*o.ticklen,transFn:function(t){var e=I(t);return D(e)+\"rotate(\"+-c(e)+\")\"}}),d.drawLabels(t,o,{vals:s,layer:A,transFn:f,labelFns:O})}var F=[y].concat(p.gauge.steps),B=_.selectAll(\"g.bg-arc\").data(F);B.enter().append(\"g\").classed(\"bg-arc\",!0).append(\"path\"),B.select(\"path\").call(P).call(T),B.exit().remove();var N=C(p.gauge.bar.thickness),j=_.selectAll(\"g.value-arc\").data([p.gauge.bar]);j.enter().append(\"g\").classed(\"value-arc\",!0).append(\"path\");var U=j.select(\"path\");w(M)?(U.transition().duration(M.duration).ease(M.easing).each(\"end\",(function(){S&&S()})).each(\"interrupt\",(function(){S&&S()})).attrTween(\"d\",(V=N,H=L(r[0].lastY),q=L(r[0].y),function(){var t=i(H,q);return function(e){return V.endAngle(t(e))()}})),p._lastValue=r[0].y):U.attr(\"d\",\"number\"==typeof r[0].y?N.endAngle(L(r[0].y)):\"M0,0Z\");var V,H,q;U.call(T),j.exit().remove(),F=[];var G=p.gauge.threshold.value;(G||0===G)&&F.push({range:[G,G],color:p.gauge.threshold.color,line:{color:p.gauge.threshold.line.color,width:p.gauge.threshold.line.width},thickness:p.gauge.threshold.thickness});var Y=_.selectAll(\"g.threshold-arc\").data(F);Y.enter().append(\"g\").classed(\"threshold-arc\",!0).append(\"path\"),Y.select(\"path\").call(P).call(T),Y.exit().remove();var W=_.selectAll(\"g.gauge-outline\").data([x]);W.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"path\"),W.select(\"path\").call(P).call(T),W.exit().remove()}(t,0,e,{radius:U,innerRadius:V,gauge:Y,layer:W,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:g});var Z=O.selectAll(\"g.bullet\").data(R?e:[]);Z.exit().remove();var X=O.selectAll(\"g.bulletaxis\").data(R?e:[]);X.exit().remove(),R&&function(t,e,r,n){var i,a,o,s,c,u=r[0].trace,f=n.gauge,p=n.layer,m=n.gaugeBg,g=n.gaugeOutline,v=n.size,x=u.domain,b=n.transitionOpts,_=n.onComplete;f.enter().append(\"g\").classed(\"bullet\",!0),f.attr(\"transform\",l(v.l,v.t)),p.enter().append(\"g\").classed(\"bulletaxis\",!0).classed(\"crisp\",!0),p.selectAll(\"g.xbulletaxistick,path,text\").remove();var A=v.h,M=u.gauge.bar.thickness*A,S=x.x[0],E=x.x[0]+(x.x[1]-x.x[0])*(u._hasNumber||u._hasDelta?1-h.bulletNumberDomainSize:1);(i=k(t,u.gauge.axis))._id=\"xbulletaxis\",i.domain=[S,E],i.setScale(),a=d.calcTicks(i),o=d.makeTransTickFn(i),s=d.getTickSigns(i)[2],c=v.t+v.h,i.visible&&(d.drawTicks(t,i,{vals:\"inside\"===i.ticks?d.clipEnds(i,a):a,layer:p,path:d.makeTickPath(i,c,s),transFn:o}),d.drawLabels(t,i,{vals:a,layer:p,transFn:o,labelFns:d.makeLabelFns(i,c)}));function L(t){t.attr(\"width\",(function(t){return Math.max(0,i.c2p(t.range[1])-i.c2p(t.range[0]))})).attr(\"x\",(function(t){return i.c2p(t.range[0])})).attr(\"y\",(function(t){return.5*(1-t.thickness)*A})).attr(\"height\",(function(t){return t.thickness*A}))}var C=[m].concat(u.gauge.steps),P=f.selectAll(\"g.bg-bullet\").data(C);P.enter().append(\"g\").classed(\"bg-bullet\",!0).append(\"rect\"),P.select(\"rect\").call(L).call(T),P.exit().remove();var I=f.selectAll(\"g.value-bullet\").data([u.gauge.bar]);I.enter().append(\"g\").classed(\"value-bullet\",!0).append(\"rect\"),I.select(\"rect\").attr(\"height\",M).attr(\"y\",(A-M)/2).call(T),w(b)?I.select(\"rect\").transition().duration(b.duration).ease(b.easing).each(\"end\",(function(){_&&_()})).each(\"interrupt\",(function(){_&&_()})).attr(\"width\",Math.max(0,i.c2p(Math.min(u.gauge.axis.range[1],r[0].y)))):I.select(\"rect\").attr(\"width\",\"number\"==typeof r[0].y?Math.max(0,i.c2p(Math.min(u.gauge.axis.range[1],r[0].y))):0);I.exit().remove();var O=r.filter((function(){return u.gauge.threshold.value||0===u.gauge.threshold.value})),z=f.selectAll(\"g.threshold-bullet\").data(O);z.enter().append(\"g\").classed(\"threshold-bullet\",!0).append(\"line\"),z.select(\"line\").attr(\"x1\",i.c2p(u.gauge.threshold.value)).attr(\"x2\",i.c2p(u.gauge.threshold.value)).attr(\"y1\",(1-u.gauge.threshold.thickness)/2*A).attr(\"y2\",(1-(1-u.gauge.threshold.thickness)/2)*A).call(y.stroke,u.gauge.threshold.line.color).style(\"stroke-width\",u.gauge.threshold.line.width),z.exit().remove();var D=f.selectAll(\"g.gauge-outline\").data([g]);D.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"rect\"),D.select(\"rect\").call(L).call(T),D.exit().remove()}(t,0,e,{gauge:Z,layer:X,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:g});var J=O.selectAll(\"text.title\").data(e);J.exit().remove(),J.enter().append(\"text\").classed(\"title\",!0),J.attr(\"text-anchor\",(function(){return R?x.right:x[I.title.align]})).text(I.title.text).call(f.font,I.title.font).call(p.convertToTspans,t),J.attr(\"transform\",(function(){var t,e=B.l+B.w*b[I.title.align],r=h.titlePadding,n=f.bBox(J.node());if(z){if(D)if(I.gauge.axis.visible)t=f.bBox(W.node()).top-r-n.bottom;else t=B.t+B.h/2-U/2-n.bottom-r;R&&(t=E-(n.top+n.bottom)/2,e=B.l-h.bulletPadding*B.w)}else t=I._numbersTop-r-n.bottom;return l(e,t)}))}))}},{\"../../components/color\":367,\"../../components/drawing\":389,\"../../constants/alignment\":483,\"../../lib\":515,\"../../lib/svg_text_utils\":541,\"../../plots/cartesian/axes\":566,\"../../plots/cartesian/axis_defaults\":568,\"../../plots/cartesian/layout_attributes\":579,\"../../plots/cartesian/position_defaults\":582,\"./constants\":867,\"@plotly/d3\":58,\"d3-interpolate\":116}],871:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,a=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../mesh3d/attributes\"),s=t(\"../../plots/attributes\"),l=t(\"../../lib/extend\").extendFlat,c=t(\"../../plot_api/edit_types\").overrideAll;var 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0===e.isomax||null===e.isomin?s:e.isomax,n(t,e,{vals:[e._vMin,e._vMax],containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":375,\"../streamtube/calc\":1054}],873:[function(t,e,r){\"use strict\";var n=t(\"../../../stackgl_modules\").gl_mesh3d,i=t(\"../../lib/gl_format_color\").parseColorScale,a=t(\"../../lib/str2rgbarray\"),o=t(\"../../components/colorscale\").extractOpts,s=t(\"../../plots/gl3d/zip3\"),l=function(t,e){for(var r=e.length-1;r>0;r--){var n=Math.min(e[r],e[r-1]),i=Math.max(e[r],e[r-1]);if(i>n&&n<t&&t<=i)return{id:r,distRatio:(i-t)/(i-n)}}return{id:0,distRatio:0}};function c(t,e,r){this.scene=t,this.uid=r,this.mesh=e,this.name=\"\",this.data=null,this.showContour=!1}var u=c.prototype;u.handlePick=function(t){if(t.object===this.mesh){var e=t.data.index,r=this.data._meshX[e],n=this.data._meshY[e],i=this.data._meshZ[e],a=this.data._Ys.length,o=this.data._Zs.length,s=l(r,this.data._Xs).id,c=l(n,this.data._Ys).id,u=l(i,this.data._Zs).id,f=t.index=u+o*c+o*a*s;t.traceCoordinate=[this.data._meshX[f],this.data._meshY[f],this.data._meshZ[f],this.data._value[f]];var h=this.data.hovertext||this.data.text;return Array.isArray(h)&&void 0!==h[f]?t.textLabel=h[f]:h&&(t.textLabel=h),!0}},u.update=function(t){var e=this.scene,r=e.fullSceneLayout;function n(t,e,r,n){return e.map((function(e){return t.d2l(e,0,n)*r}))}this.data=h(t);var l={positions:s(n(r.xaxis,t._meshX,e.dataScale[0],t.xcalendar),n(r.yaxis,t._meshY,e.dataScale[1],t.ycalendar),n(r.zaxis,t._meshZ,e.dataScale[2],t.zcalendar)),cells:s(t._meshI,t._meshJ,t._meshK),lightPosition:[t.lightposition.x,t.lightposition.y,t.lightposition.z],ambient:t.lighting.ambient,diffuse:t.lighting.diffuse,specular:t.lighting.specular,roughness:t.lighting.roughness,fresnel:t.lighting.fresnel,vertexNormalsEpsilon:t.lighting.vertexnormalsepsilon,faceNormalsEpsilon:t.lighting.facenormalsepsilon,opacity:t.opacity,contourEnable:t.contour.show,contourColor:a(t.contour.color).slice(0,3),contourWidth:t.contour.width,useFacetNormals:t.flatshading},c=o(t);l.vertexIntensity=t._meshIntensity,l.vertexIntensityBounds=[c.min,c.max],l.colormap=i(t),this.mesh.update(l)},u.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()};var f=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"];function h(t){t._meshI=[],t._meshJ=[],t._meshK=[];var 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s=o[0];i(t,s,r,a)}},r.clean=function(t,e,r,n){var i=n._has&&n._has(\"parcats\"),a=e._has&&e._has(\"parcats\");i&&!a&&n._paperdiv.selectAll(\".parcats\").remove()}},{\"../../plots/get_data\":602,\"./plot\":896}],892:[function(t,e,r){\"use strict\";var n=t(\"../../lib/gup\").wrap,i=t(\"../../components/colorscale/helpers\").hasColorscale,a=t(\"../../components/colorscale/calc\"),o=t(\"../../lib/filter_unique.js\"),s=t(\"../../components/drawing\"),l=t(\"../../lib\"),c=t(\"fast-isnumeric\");function u(t,e,r){t.valueInds.push(e),t.count+=r}function f(t,e,r){return{categoryInds:t,color:e,rawColor:r,valueInds:[],count:0}}function h(t,e,r){t.valueInds.push(e),t.count+=r}e.exports=function(t,e){var r=l.filterVisible(e.dimensions);if(0===r.length)return[];var p,d,m,g=r.map((function(t){var e;if(\"trace\"===t.categoryorder)e=null;else if(\"array\"===t.categoryorder)e=t.categoryarray;else{e=o(t.values);for(var r=!0,n=0;n<e.length;n++)if(!c(e[n])){r=!1;break}e.sort(r?l.sorterAsc:void 0),\"category 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r=t._ticktext.length;r<e.uniqueValues.length;r++)t._ticktext.push(e.uniqueValues[r])}(t,g[e])}));var v,y=e.line;y?(i(e,\"line\")&&a(t,e,{vals:e.line.color,containerStr:\"line\",cLetter:\"c\"}),v=s.tryColorscale(y)):v=l.identity;var x,b,_,w,T,k=r[0].values.length,A={},M=g.map((function(t){return t.inds}));for(m=0,x=0;x<k;x++){var S=[];for(b=0;b<M.length;b++)S.push(M[b][x]);d=p[x%p.length],m+=d;var E=(_=x,w=void 0,T=void 0,l.isArrayOrTypedArray(y.color)?T=w=y.color[_%y.color.length]:w=y.color,{color:v(w),rawColor:T}),L=S+\"-\"+E.rawColor;void 0===A[L]&&(A[L]=f(S,E.color,E.rawColor)),h(A[L],x,d)}var C,P=r.map((function(t,e){return function(t,e,r,n,i){return{dimensionInd:t,containerInd:e,displayInd:r,dimensionLabel:n,count:i,categories:[],dragX:null}}(e,t._index,t._displayindex,t.label,m)}));for(x=0;x<k;x++)for(d=p[x%p.length],b=0;b<P.length;b++){var I=P[b].containerInd,O=g[b].inds[x],z=P[b].categories;if(void 0===z[O]){var D=e.dimensions[I]._categoryarray[O],R=e.dimensions[I]._ticktext[O];z[O]={dimensionInd:b,categoryInd:C=O,categoryValue:D,displayInd:C,categoryLabel:R,valueInds:[],count:0,dragY:null}}u(z[O],x,d)}return n(function(t,e,r){var n=t.map((function(t){return t.categories.length})).reduce((function(t,e){return Math.max(t,e)}));return{dimensions:t,paths:e,trace:void 0,maxCats:n,count:r}}(P,A,m))}},{\"../../components/colorscale/calc\":375,\"../../components/colorscale/helpers\":378,\"../../components/drawing\":389,\"../../lib\":515,\"../../lib/filter_unique.js\":506,\"../../lib/gup\":512,\"fast-isnumeric\":190}],893:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/colorscale/helpers\").hasColorscale,a=t(\"../../components/colorscale/defaults\"),o=t(\"../../plots/domain\").defaults,s=t(\"../../plots/array_container_defaults\"),l=t(\"./attributes\"),c=t(\"../parcoords/merge_length\");function u(t,e){function r(r,i){return n.coerce(t,e,l.dimensions,r,i)}var i=r(\"values\"),a=r(\"visible\");if(i&&i.length||(a=e.visible=!1),a){r(\"label\"),r(\"displayindex\",e._index);var o,s=t.categoryarray,c=Array.isArray(s)&&s.length>0;c&&(o=\"array\");var u=r(\"categoryorder\",o);\"array\"===u?(r(\"categoryarray\"),r(\"ticktext\")):(delete t.categoryarray,delete t.ticktext),c||\"array\"!==u||(e.categoryorder=\"trace\")}}e.exports=function(t,e,r,f){function h(r,i){return n.coerce(t,e,l,r,i)}var p=s(t,e,{name:\"dimensions\",handleItemDefaults:u}),d=function(t,e,r,o,s){s(\"line.shape\"),s(\"line.hovertemplate\");var l=s(\"line.color\",o.colorway[0]);if(i(t,\"line\")&&n.isArrayOrTypedArray(l)){if(l.length)return s(\"line.colorscale\"),a(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,f,h);o(e,f,h),Array.isArray(p)&&p.length||(e.visible=!1),c(e,p,\"values\",d),h(\"hoveron\"),h(\"hovertemplate\"),h(\"arrangement\"),h(\"bundlecolors\"),h(\"sortpaths\"),h(\"counts\");var m={family:f.font.family,size:Math.round(f.font.size),color:f.font.color};n.coerceFont(h,\"labelfont\",m);var g={family:f.font.family,size:Math.round(f.font.size/1.2),color:f.font.color};n.coerceFont(h,\"tickfont\",g)}},{\"../../components/colorscale/defaults\":377,\"../../components/colorscale/helpers\":378,\"../../lib\":515,\"../../plots/array_container_defaults\":561,\"../../plots/domain\":593,\"../parcoords/merge_length\":907,\"./attributes\":890}],894:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),calc:t(\"./calc\"),plot:t(\"./plot\"),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcats\",basePlotModule:t(\"./base_plot\"),categories:[\"noOpacity\"],meta:{}}},{\"./attributes\":890,\"./base_plot\":891,\"./calc\":892,\"./defaults\":893,\"./plot\":896}],895:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"d3-interpolate\").interpolateNumber,a=t(\"../../plot_api/plot_api\"),o=t(\"../../components/fx\"),s=t(\"../../lib\"),l=s.strTranslate,c=t(\"../../components/drawing\"),u=t(\"tinycolor2\"),f=t(\"../../lib/svg_text_utils\");function h(t,e,r,i){var a=e._context.staticPlot,o=t.map(F.bind(0,e,r)),u=i.selectAll(\"g.parcatslayer\").data([null]);u.enter().append(\"g\").attr(\"class\",\"parcatslayer\").style(\"pointer-events\",a?\"none\":\"all\");var h=u.selectAll(\"g.trace.parcats\").data(o,p),y=h.enter().append(\"g\").attr(\"class\",\"trace parcats\");h.attr(\"transform\",(function(t){return l(t.x,t.y)})),y.append(\"g\").attr(\"class\",\"paths\");var x=h.select(\"g.paths\").selectAll(\"path.path\").data((function(t){return t.paths}),p);x.attr(\"fill\",(function(t){return t.model.color}));var w=x.enter().append(\"path\").attr(\"class\",\"path\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",0);_(w),x.attr(\"d\",(function(t){return t.svgD})),w.empty()||x.sort(m),x.exit().remove(),x.on(\"mouseover\",g).on(\"mouseout\",v).on(\"click\",b),y.append(\"g\").attr(\"class\",\"dimensions\");var A=h.select(\"g.dimensions\").selectAll(\"g.dimension\").data((function(t){return t.dimensions}),p);A.enter().append(\"g\").attr(\"class\",\"dimension\"),A.attr(\"transform\",(function(t){return l(t.x,0)})),A.exit().remove();var M=A.selectAll(\"g.category\").data((function(t){return t.categories}),p),S=M.enter().append(\"g\").attr(\"class\",\"category\");M.attr(\"transform\",(function(t){return l(0,t.y)})),S.append(\"rect\").attr(\"class\",\"catrect\").attr(\"pointer-events\",\"none\"),M.select(\"rect.catrect\").attr(\"fill\",\"none\").attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})),T(S);var E=M.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),p);E.each((function(){s.raiseToTop(this)})),E.attr(\"fill\",(function(t){return t.color}));var z=E.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);E.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})).attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"perpendicular\"===t.parcatsViewModel.arrangement?\"ns-resize\":\"move\"})),k(z),E.exit().remove(),S.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\");var D=e._fullLayout.paper_bgcolor;M.select(\"text.catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"alignment-baseline\",\"middle\").style(\"text-shadow\",f.makeTextShadow(D)).style(\"fill\",\"rgb(0, 0, 0)\").attr(\"x\",(function(t){return d(t)?t.width+5:-5})).attr(\"y\",(function(t){return t.height/2})).text((function(t){return t.model.categoryLabel})).each((function(t){c.font(n.select(this),t.parcatsViewModel.categorylabelfont),f.convertToTspans(n.select(this),e)})),S.append(\"text\").attr(\"class\",\"dimlabel\"),M.select(\"text.dimlabel\").attr(\"text-anchor\",\"middle\").attr(\"alignment-baseline\",\"baseline\").attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"ew-resize\"})).attr(\"x\",(function(t){return t.width/2})).attr(\"y\",-5).text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){c.font(n.select(this),t.parcatsViewModel.labelfont)})),M.selectAll(\"rect.bandrect\").on(\"mouseover\",L).on(\"mouseout\",C),M.exit().remove(),A.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on(\"dragstart\",P).on(\"drag\",I).on(\"dragend\",O)),h.each((function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll(\"g.paths\").selectAll(\"path.path\"),t.dimensionSelection=n.select(this).selectAll(\"g.dimensions\").selectAll(\"g.dimension\")})),h.exit().remove()}function p(t){return t.key}function d(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function m(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function g(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){s.raiseToTop(this),w(n.select(this));var e=y(t),r=x(t);if(t.parcatsViewModel.graphDiv.emit(\"plotly_hover\",{points:e,event:n.event,constraints:r}),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\")){var i,a,l,c=n.mouse(this)[0],f=t.parcatsViewModel.graphDiv,h=t.parcatsViewModel.trace,p=f._fullLayout,d=p._paperdiv.node().getBoundingClientRect(),m=t.parcatsViewModel.graphDiv.getBoundingClientRect();for(l=0;l<t.leftXs.length-1;l++)if(t.leftXs[l]+t.dimWidths[l]-2<=c&&c<=t.leftXs[l+1]+2){var g=t.parcatsViewModel.dimensions[l],v=t.parcatsViewModel.dimensions[l+1];i=(g.x+g.width+v.x)/2,a=(t.topYs[l]+t.topYs[l+1]+t.height)/2;break}var b=t.parcatsViewModel.x+i,_=t.parcatsViewModel.y+a,T=u.mostReadable(t.model.color,[\"black\",\"white\"]),k=t.model.count,A=k/t.parcatsViewModel.model.count,M={countLabel:k,probabilityLabel:A.toFixed(3)},S=[];-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&S.push([\"Count:\",M.countLabel].join(\" \")),-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&S.push([\"P:\",M.probabilityLabel].join(\" \"));var E=S.join(\"<br>\"),L=n.mouse(f)[0];o.loneHover({trace:h,x:b-d.left+m.left,y:_-d.top+m.top,text:E,color:t.model.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:10,fontColor:T,idealAlign:L<b?\"right\":\"left\",hovertemplate:(h.line||{}).hovertemplate,hovertemplateLabels:M,eventData:[{data:h._input,fullData:h,count:k,probability:A}]},{container:p._hoverlayer.node(),outerContainer:p._paper.node(),gd:f})}}}function v(t){if(!t.parcatsViewModel.dragDimension&&(_(n.select(this)),o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(m),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\"))){var e=y(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_unhover\",{points:e,event:n.event,constraints:r})}}function y(t){for(var e=[],r=z(t.parcatsViewModel),n=0;n<t.model.valueInds.length;n++){var i=t.model.valueInds[n];e.push({curveNumber:r,pointNumber:i})}return e}function x(t){for(var e={},r=t.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var i=r[n],a=i.categories[t.model.categoryInds[n]];e[i.containerInd]=a.categoryValue}return void 0!==t.model.rawColor&&(e.color=t.model.rawColor),e}function b(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){var e=y(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_click\",{points:e,event:n.event,constraints:r})}}function _(t){t.attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",.6).attr(\"stroke\",\"lightgray\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1)}function w(t){t.attr(\"fill-opacity\",.8).attr(\"stroke\",(function(t){return u.mostReadable(t.model.color,[\"black\",\"white\"])})).attr(\"stroke-width\",.3)}function T(t){t.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",1).attr(\"stroke-opacity\",1)}function k(t){t.attr(\"stroke\",\"black\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1).attr(\"fill-opacity\",1)}function A(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter((function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color}))}function M(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=n.select(t.parentNode).selectAll(\"rect.bandrect\"),l=[];s.each((function(t){A(t).each((function(t){Array.prototype.push.apply(l,y(t))}))}));var c={};c[a.dimensionInd]=a.categoryValue,o.emit(e,{points:l,event:r,constraints:c})}function S(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=A(i),l=[];s.each((function(t){Array.prototype.push.apply(l,y(t))}));var c={};c[a.dimensionInd]=a.categoryValue,void 0!==i.rawColor&&(c.color=i.rawColor),o.emit(e,{points:l,event:r,constraints:c})}function E(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=n.select(r.parentNode).select(\"rect.catrect\"),c=l.node().getBoundingClientRect(),u=l.datum(),f=u.parcatsViewModel,h=f.model.dimensions[u.model.dimensionInd],p=f.trace,d=c.top+c.height/2;f.dimensions.length>1&&h.displayInd===f.dimensions.length-1?(i=c.left,a=\"left\"):(i=c.left+c.width,a=\"right\");var m=u.model.count,g=u.model.categoryLabel,v=m/u.parcatsViewModel.model.count,y={countLabel:m,categoryLabel:g,probabilityLabel:v.toFixed(3)},x=[];-1!==u.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&x.push([\"Count:\",y.countLabel].join(\" \")),-1!==u.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&x.push([\"P(\"+y.categoryLabel+\"):\",y.probabilityLabel].join(\" \"));var b=x.join(\"<br>\");return{trace:p,x:o*(i-e.left),y:s*(d-e.top),text:b,color:\"lightgray\",borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", 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e=A(t);w(e),e.each((function(){s.raiseToTop(this)}))})),n.select(t.parentNode).select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",2.5)}(this),M(this,\"plotly_hover\",n.event)),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\"))\"category\"===l?e=E(r,a,this):\"color\"===l?e=function(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=r.getBoundingClientRect(),c=n.select(r).datum(),f=c.categoryViewModel,h=f.parcatsViewModel,p=h.model.dimensions[f.model.dimensionInd],d=h.trace,m=l.y+l.height/2;h.dimensions.length>1&&p.displayInd===h.dimensions.length-1?(i=l.left,a=\"left\"):(i=l.left+l.width,a=\"right\");var g=f.model.categoryLabel,v=c.parcatsViewModel.model.count,y=0;c.categoryViewModel.bands.forEach((function(t){t.color===c.color&&(y+=t.count)}));var x=f.model.count,b=0;h.pathSelection.each((function(t){t.model.color===c.color&&(b+=t.model.count)}));var _=y/v,w=y/b,T=y/x,k={countLabel:v,categoryLabel:g,probabilityLabel:_.toFixed(3)},A=[];-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&A.push([\"Count:\",k.countLabel].join(\" \")),-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&(A.push(\"P(color \\u2229 \"+g+\"): \"+k.probabilityLabel),A.push(\"P(\"+g+\" | color): \"+w.toFixed(3)),A.push(\"P(color | \"+g+\"): \"+T.toFixed(3)));var M=A.join(\"<br>\"),S=u.mostReadable(c.color,[\"black\",\"white\"]);return{trace:d,x:o*(i-e.left),y:s*(m-e.top),text:M,color:c.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontColor:S,fontSize:10,idealAlign:a,hovertemplate:d.hovertemplate,hovertemplateLabels:k,eventData:[{data:d._input,fullData:d,category:g,count:v,probability:_,categorycount:x,colorcount:b,bandcolorcount:y}]}}(r,a,this):\"dimension\"===l&&(e=function(t,e,r){var i=[];return 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t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll(\"g.category\").select(\"rect.catrect\").each((function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,s.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll(\"rect.bandrect\").each((function(e){e.y<i&&i<=e.y+e.height&&(t.potentialClickBand=this)})))})),t.parcatsViewModel.dragDimension=t,o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function I(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,i=e+1,a=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=a.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var 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t.categoryLabel}));e[\"dimensions[\"+t.model.containerInd+\"].categoryarray\"]=[u],e[\"dimensions[\"+t.model.containerInd+\"].ticktext\"]=[f],e[\"dimensions[\"+t.model.containerInd+\"].categoryorder\"]=\"array\"}}if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")&&!t.dragHasMoved&&t.potentialClickBand&&(\"color\"===t.parcatsViewModel.hoveron?S(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent):M(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent)),t.model.dragX=null,null!==t.dragCategoryDisplayInd)t.parcatsViewModel.dimensions[t.dragDimensionDisplayInd].categories[t.dragCategoryDisplayInd].model.dragY=null,t.dragCategoryDisplayInd=null;t.dragDimensionDisplayInd=null,t.parcatsViewModel.dragDimension=null,t.dragHasMoved=null,t.potentialClickBand=null,j(t.parcatsViewModel),N(t.parcatsViewModel),n.transition().duration(300).ease(\"cubic-in-out\").each((function(){R(t.parcatsViewModel,!0),D(t.parcatsViewModel,!0)})).each(\"end\",(function(){(o||s)&&a.restyle(t.parcatsViewModel.graphDiv,e,[r])}))}}function 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e>=.9*t[1]+.1*t[0]?\"n\":e<=.9*t[0]+.1*t[1]?\"s\":\"ns\"}(d,e);m&&(o.interval=l[a],o.intervalPix=d,o.region=m)}}if(t.ordinal&&!o.region){var g=t.unitTickvals,y=t.unitToPaddedPx.invert(e);for(r=0;r<g.length;r++){var x=[.25*g[Math.max(r-1,0)]+.75*g[r],.25*g[Math.min(r+1,g.length-1)]+.75*g[r]];if(y>=x[0]&&y<=x[1]){o.clickableOrdinalRange=x;break}}}return o}function w(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.brush.svgBrush;a.wasDragged=!0,a._dragging=!0,a.grabbingBar?a.newExtent=[r-a.grabPoint,r+a.barLength-a.grabPoint].map(e.unitToPaddedPx.invert):a.newExtent=[a.startExtent,e.unitToPaddedPx.invert(r)].sort(s),e.brush.filterSpecified=!0,a.extent=a.stayingIntervals.concat([a.newExtent]),a.brushCallback(e),b(t.parentNode)}function T(t,e){var r=_(e,e.height-i.mouse(t)[1]-2*n.verticalPadding),a=\"crosshair\";r.clickableOrdinalRange?a=\"pointer\":r.region&&(a=r.region+\"-resize\"),i.select(document.body).style(\"cursor\",a)}function k(t){t.on(\"mousemove\",(function(t){i.event.preventDefault(),t.parent.inBrushDrag||T(this,t)})).on(\"mouseleave\",(function(t){t.parent.inBrushDrag||y()})).call(i.behavior.drag().on(\"dragstart\",(function(t){!function(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.unitToPaddedPx.invert(r),o=e.brush,s=_(e,r),l=s.interval,c=o.svgBrush;if(c.wasDragged=!1,c.grabbingBar=\"ns\"===s.region,c.grabbingBar){var u=l.map(e.unitToPaddedPx);c.grabPoint=r-u[0]-n.verticalPadding,c.barLength=u[1]-u[0]}c.clickableOrdinalRange=s.clickableOrdinalRange,c.stayingIntervals=e.multiselect&&o.filterSpecified?o.filter.getConsolidated():[],l&&(c.stayingIntervals=c.stayingIntervals.filter((function(t){return t[0]!==l[0]&&t[1]!==l[1]}))),c.startExtent=s.region?l[\"s\"===s.region?1:0]:a,e.parent.inBrushDrag=!0,c.brushStartCallback()}(this,t)})).on(\"drag\",(function(t){w(this,t)})).on(\"dragend\",(function(t){!function(t,e){var r=e.brush,n=r.filter,a=r.svgBrush;a._dragging||(T(t,e),w(t,e),e.brush.svgBrush.wasDragged=!1),a._dragging=!1,i.event.sourceEvent.stopPropagation();var o=a.grabbingBar;if(a.grabbingBar=!1,a.grabLocation=void 0,e.parent.inBrushDrag=!1,y(),!a.wasDragged)return a.wasDragged=void 0,a.clickableOrdinalRange?r.filterSpecified&&e.multiselect?a.extent.push(a.clickableOrdinalRange):(a.extent=[a.clickableOrdinalRange],r.filterSpecified=!0):o?(a.extent=a.stayingIntervals,0===a.extent.length&&M(r)):M(r),a.brushCallback(e),b(t.parentNode),void a.brushEndCallback(r.filterSpecified?n.getConsolidated():[]);var s=function(){n.set(n.getConsolidated())};if(e.ordinal){var l=e.unitTickvals;l[l.length-1]<l[0]&&l.reverse(),a.newExtent=[p(0,l,a.newExtent[0],a.stayingIntervals),p(1,l,a.newExtent[1],a.stayingIntervals)];var c=a.newExtent[1]>a.newExtent[0];a.extent=a.stayingIntervals.concat(c?[a.newExtent]:[]),a.extent.length||M(r),a.brushCallback(e),c?b(t.parentNode,s):(s(),b(t.parentNode))}else s();a.brushEndCallback(r.filterSpecified?n.getConsolidated():[])}(this,t)})))}function A(t,e){return t[0]-e[0]}function M(t){t.filterSpecified=!1,t.svgBrush.extent=[[-1/0,1/0]]}function S(t){for(var e,r=t.slice(),n=[],i=r.shift();i;){for(e=i.slice();(i=r.shift())&&i[0]<=e[1];)e[1]=Math.max(e[1],i[1]);n.push(e)}return 1===n.length&&n[0][0]>n[0][1]&&(n=[]),n}e.exports={makeBrush:function(t,e,r,n,i,a){var o,l=function(){var t,e,r=[];return{set:function(n){1===(r=n.map((function(t){return t.slice().sort(s)})).sort(A)).length&&r[0][0]===-1/0&&r[0][1]===1/0&&(r=[[0,-1]]),t=S(r),e=r.reduce((function(t,e){return[Math.min(t[0],e[0]),Math.max(t[1],e[1])]}),[1/0,-1/0])},get:function(){return r.slice()},getConsolidated:function(){return t},getBounds:function(){return e}}}();return l.set(r),{filter:l,filterSpecified:e,svgBrush:{extent:[],brushStartCallback:n,brushCallback:(o=i,function(t){var e=t.brush,r=function(t){return t.svgBrush.extent.map((function(t){return t.slice()}))}(e).slice();e.filter.set(r),o()}),brushEndCallback:a}}},ensureAxisBrush:function(t,e,r){var i=t.selectAll(\".\"+n.cn.axisBrush).data(o,a);i.enter().append(\"g\").classed(n.cn.axisBrush,!0),function(t,e,r){var i=r._context.staticPlot,a=t.selectAll(\".background\").data(o);a.enter().append(\"rect\").classed(\"background\",!0).call(d).call(m).style(\"pointer-events\",i?\"none\":\"auto\").attr(\"transform\",l(0,n.verticalPadding)),a.call(k).attr(\"height\",(function(t){return t.height-n.verticalPadding}));var s=t.selectAll(\".highlight-shadow\").data(o);s.enter().append(\"line\").classed(\"highlight-shadow\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width+n.bar.strokeWidth).attr(\"stroke\",e).attr(\"opacity\",n.bar.strokeOpacity).attr(\"stroke-linecap\",\"butt\"),s.attr(\"y1\",(function(t){return t.height})).call(x);var c=t.selectAll(\".highlight\").data(o);c.enter().append(\"line\").classed(\"highlight\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width-n.bar.strokeWidth).attr(\"stroke\",n.bar.fillColor).attr(\"opacity\",n.bar.fillOpacity).attr(\"stroke-linecap\",\"butt\"),c.attr(\"y1\",(function(t){return t.height})).call(x)}(i,e,r)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map((function(t){return t.sort(s)})),t=e.multiselect?S(t.sort(A)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map((function(t){var e=[p(0,r,t[0],[]),p(1,r,t[1],[])];if(e[1]>e[0])return e})).filter((function(t){return t}))).length)return}return t.length>1?t:t[0]}}},{\"../../lib\":515,\"../../lib/gup\":512,\"./constants\":902,\"@plotly/d3\":58}],899:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),calc:t(\"./calc\"),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcoords\",basePlotModule:t(\"./base_plot\"),categories:[\"gl\",\"regl\",\"noOpacity\",\"noHover\"],meta:{}}},{\"./attributes\":897,\"./base_plot\":900,\"./calc\":901,\"./defaults\":903}],900:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../plots/get_data\").getModuleCalcData,a=t(\"./plot\"),o=t(\"../../constants/xmlns_namespaces\");r.name=\"parcoords\",r.plot=function(t){var e=i(t.calcdata,\"parcoords\")[0];e.length&&a(t,e)},r.clean=function(t,e,r,n){var i=n._has&&n._has(\"parcoords\"),a=e._has&&e._has(\"parcoords\");i&&!a&&(n._paperdiv.selectAll(\".parcoords\").remove(),n._glimages.selectAll(\"*\").remove())},r.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(\".svg-container\");r.filter((function(t,e){return e===r.size()-1})).selectAll(\".gl-canvas-context, .gl-canvas-focus\").each((function(){var t=this.toDataURL(\"image/png\");e.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":t,preserveAspectRatio:\"none\",x:0,y:0,width:this.style.width,height:this.style.height})})),window.setTimeout((function(){n.selectAll(\"#filterBarPattern\").attr(\"id\",\"filterBarPattern\")}),60)}},{\"../../constants/xmlns_namespaces\":492,\"../../plots/get_data\":602,\"./plot\":909,\"@plotly/d3\":58}],901:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isArrayOrTypedArray,i=t(\"../../components/colorscale\"),a=t(\"../../lib/gup\").wrap;e.exports=function(t,e){var r,o;return i.hasColorscale(e,\"line\")&&n(e.line.color)?(r=e.line.color,o=i.extractOpts(e.line).colorscale,i.calc(t,e,{vals:r,containerStr:\"line\",cLetter:\"c\"})):(r=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=.5;return e}(e._length),o=[[0,e.line.color],[1,e.line.color]]),a({lineColor:r,cscale:o})}},{\"../../components/colorscale\":379,\"../../lib\":515,\"../../lib/gup\":512}],902:[function(t,e,r){\"use strict\";e.exports={maxDimensionCount:60,overdrag:45,verticalPadding:2,tickDistance:50,canvasPixelRatio:1,blockLineCount:5e3,layers:[\"contextLineLayer\",\"focusLineLayer\",\"pickLineLayer\"],axisTitleOffset:28,axisExtentOffset:10,bar:{width:4,captureWidth:10,fillColor:\"magenta\",fillOpacity:1,snapDuration:150,snapRatio:.25,snapClose:.01,strokeOpacity:1,strokeWidth:1,handleHeight:8,handleOpacity:1,handleOverlap:0},cn:{axisExtentText:\"axis-extent-text\",parcoordsLineLayers:\"parcoords-line-layers\",parcoordsLineLayer:\"parcoords-lines\",parcoords:\"parcoords\",parcoordsControlView:\"parcoords-control-view\",yAxis:\"y-axis\",axisOverlays:\"axis-overlays\",axis:\"axis\",axisHeading:\"axis-heading\",axisTitle:\"axis-title\",axisExtent:\"axis-extent\",axisExtentTop:\"axis-extent-top\",axisExtentTopText:\"axis-extent-top-text\",axisExtentBottom:\"axis-extent-bottom\",axisExtentBottomText:\"axis-extent-bottom-text\",axisBrush:\"axis-brush\"},id:{filterBarPattern:\"filter-bar-pattern\"}}},{}],903:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/colorscale/helpers\").hasColorscale,a=t(\"../../components/colorscale/defaults\"),o=t(\"../../plots/domain\").defaults,s=t(\"../../plots/array_container_defaults\"),l=t(\"../../plots/cartesian/axes\"),c=t(\"./attributes\"),u=t(\"./axisbrush\"),f=t(\"./constants\").maxDimensionCount,h=t(\"./merge_length\");function p(t,e,r,i){function a(r,i){return n.coerce(t,e,c.dimensions,r,i)}var o=a(\"values\"),s=a(\"visible\");if(o&&o.length||(s=e.visible=!1),s){a(\"label\"),a(\"tickvals\"),a(\"ticktext\"),a(\"tickformat\");var f=a(\"range\");e._ax={_id:\"y\",type:\"linear\",showexponent:\"all\",exponentformat:\"B\",range:f},l.setConvert(e._ax,i.layout),a(\"multiselect\");var h=a(\"constraintrange\");h&&(e.constraintrange=u.cleanRanges(h,e))}}e.exports=function(t,e,r,l){function u(r,i){return n.coerce(t,e,c,r,i)}var d=t.dimensions;Array.isArray(d)&&d.length>f&&(n.log(\"parcoords traces support up to \"+f+\" dimensions at the moment\"),d.splice(f));var m=s(t,e,{name:\"dimensions\",layout:l,handleItemDefaults:p}),g=function(t,e,r,o,s){var l=s(\"line.color\",r);if(i(t,\"line\")&&n.isArrayOrTypedArray(l)){if(l.length)return s(\"line.colorscale\"),a(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,l,u);o(e,l,u),Array.isArray(m)&&m.length||(e.visible=!1),h(e,m,\"values\",g);var v={family:l.font.family,size:Math.round(l.font.size/1.2),color:l.font.color};n.coerceFont(u,\"labelfont\",v),n.coerceFont(u,\"tickfont\",v),n.coerceFont(u,\"rangefont\",v),u(\"labelangle\"),u(\"labelside\"),u(\"unselected.line.color\"),u(\"unselected.line.opacity\")}},{\"../../components/colorscale/defaults\":377,\"../../components/colorscale/helpers\":378,\"../../lib\":515,\"../../plots/array_container_defaults\":561,\"../../plots/cartesian/axes\":566,\"../../plots/domain\":593,\"./attributes\":897,\"./axisbrush\":898,\"./constants\":902,\"./merge_length\":907}],904:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isTypedArray;r.convertTypedArray=function(t){return n(t)?Array.prototype.slice.call(t):t},r.isOrdinal=function(t){return!!t.tickvals},r.isVisible=function(t){return t.visible||!(\"visible\"in t)}},{\"../../lib\":515}],905:[function(t,e,r){\"use strict\";var n=t(\"./base_index\");n.plot=t(\"./plot\"),e.exports=n},{\"./base_index\":899,\"./plot\":909}],906:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nattribute vec4 p01_04, p05_08, p09_12, p13_16,\\n               p17_20, p21_24, p25_28, p29_32,\\n               p33_36, p37_40, p41_44, p45_48,\\n               p49_52, p53_56, p57_60, colors;\\n\\nuniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\\n             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\\n\\nuniform vec2 resolution, viewBoxPos, viewBoxSize;\\nuniform float maskHeight;\\nuniform float drwLayer; // 0: context, 1: focus, 2: pick\\nuniform vec4 contextColor;\\nuniform sampler2D maskTexture, palette;\\n\\nbool isPick    = (drwLayer > 1.5);\\nbool isContext = (drwLayer < 0.5);\\n\\nconst vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\\nconst vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\\n\\nfloat val(mat4 p, mat4 v) {\\n    return dot(matrixCompMult(p, v) * UNITS, UNITS);\\n}\\n\\nfloat axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\\n    float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\\n    return y1 * (1.0 - ratio) + y2 * ratio;\\n}\\n\\nint iMod(int a, int b) {\\n    return a - b * (a / b);\\n}\\n\\nbool fOutside(float p, float lo, float hi) {\\n    return (lo < hi) && (lo > p || p > hi);\\n}\\n\\nbool vOutside(vec4 p, vec4 lo, vec4 hi) {\\n    return (\\n        fOutside(p[0], lo[0], hi[0]) ||\\n        fOutside(p[1], lo[1], hi[1]) ||\\n        fOutside(p[2], lo[2], hi[2]) ||\\n        fOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool mOutside(mat4 p, mat4 lo, mat4 hi) {\\n    return (\\n        vOutside(p[0], lo[0], hi[0]) ||\\n        vOutside(p[1], lo[1], hi[1]) ||\\n        vOutside(p[2], lo[2], hi[2]) ||\\n        vOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    return mOutside(A, loA, hiA) ||\\n           mOutside(B, loB, hiB) ||\\n           mOutside(C, loC, hiC) ||\\n           mOutside(D, loD, hiD);\\n}\\n\\nbool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    mat4 pnts[4];\\n    pnts[0] = A;\\n    pnts[1] = B;\\n    pnts[2] = C;\\n    pnts[3] = D;\\n\\n    for(int i = 0; i < 4; ++i) {\\n        for(int j = 0; j < 4; ++j) {\\n            for(int k = 0; k < 4; ++k) {\\n                if(0 == iMod(\\n                    int(255.0 * texture2D(maskTexture,\\n                        vec2(\\n                            (float(i * 2 + j / 2) + 0.5) / 8.0,\\n                            (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\\n                        ))[3]\\n                    ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\\n                    2\\n                )) return true;\\n            }\\n        }\\n    }\\n    return false;\\n}\\n\\nvec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float x = 0.5 * sign(v) + 0.5;\\n    float y = axisY(x, A, B, C, D);\\n    float z = 1.0 - abs(v);\\n\\n    z += isContext ? 0.0 : 2.0 * float(\\n        outsideBoundingBox(A, B, C, D) ||\\n        outsideRasterMask(A, B, C, D)\\n    );\\n\\n    return vec4(\\n        2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\\n        z,\\n        1.0\\n    );\\n}\\n\\nvoid main() {\\n    mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\\n    mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\\n    mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\\n    mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\\n\\n    float v = colors[3];\\n\\n    gl_Position = position(isContext, v, A, B, C, D);\\n\\n    fragColor =\\n        isContext ? vec4(contextColor) :\\n        isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\\n}\\n\"]),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n    gl_FragColor = fragColor;\\n}\\n\"]),o=t(\"./constants\").maxDimensionCount,s=t(\"../../lib\"),l=new Uint8Array(4),c=new Uint8Array(4),u={shape:[256,1],format:\"rgba\",type:\"uint8\",mag:\"nearest\",min:\"nearest\"};function f(t,e,r,n,i){var a=t._gl;a.enable(a.SCISSOR_TEST),a.scissor(e,r,n,i),t.clear({color:[0,0,0,0],depth:1})}function h(t,e,r,n,i,a){var o=a.key;r.drawCompleted||(!function(t){t.read({x:0,y:0,width:1,height:1,data:l})}(t),r.drawCompleted=!0),function s(l){var c=Math.min(n,i-l*n);0===l&&(window.cancelAnimationFrame(r.currentRafs[o]),delete r.currentRafs[o],f(t,a.scissorX,a.scissorY,a.scissorWidth,a.viewBoxSize[1])),r.clearOnly||(a.count=2*c,a.offset=2*l*n,e(a),l*n+c<i&&(r.currentRafs[o]=window.requestAnimationFrame((function(){s(l+1)}))),r.drawCompleted=!1)}(0)}function p(t,e){for(var r=new Array(256),n=0;n<256;n++)r[n]=t(n/255).concat(e);return r}function d(t,e){return(t>>>8*e)%256/255}function m(t,e,r){for(var n=new Array(8*e),i=0,a=0;a<e;a++)for(var o=0;o<2;o++)for(var s=0;s<4;s++){var l=4*t+s,c=r[64*a+l];63===l&&0===o&&(c*=-1),n[i++]=c}return n}function g(t){var e=\"0\"+t;return e.substr(e.length-2)}function v(t){return t<o?\"p\"+g(t+1)+\"_\"+g(t+4):\"colors\"}function y(t,e,r,n,i,a,o,l,c,u,f,h,p,d){for(var m=[[],[]],g=0;g<64;g++)m[0][g]=g===i?1:0,m[1][g]=g===a?1:0;o*=d,l*=d,c*=d,u*=d;var v=t.lines.canvasOverdrag*d,y=t.domain,x=t.canvasWidth*d,b=t.canvasHeight*d,_=t.pad.l*d,w=t.pad.b*d,T=t.layoutHeight*d,k=t.layoutWidth*d,A=t.deselectedLines.color,M=t.deselectedLines.opacity;return 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n=e.indexOf(r),i=t.indexOf(n);return-1===i&&(i+=e.length),i}(e.exports=function(t,e){var r=t._fullLayout;if(i(t,[],o)){var l={},c={},u={},f={},h=r._size;e.forEach((function(e,r){var n=e[0].trace;u[r]=n.index;var i=f[r]=n._fullInput.index;l[r]=t.data[i].dimensions,c[r]=t.data[i].dimensions.slice()}));n(t,e,{width:h.w,height:h.h,margin:{t:h.t,r:h.r,b:h.b,l:h.l}},{filterChanged:function(e,n,i){var a=c[e][n],o=i.map((function(t){return t.slice()})),s=\"dimensions[\"+n+\"].constraintrange\",l=r._tracePreGUI[t._fullData[u[e]]._fullInput.uid];if(void 0===l[s]){var h=a.constraintrange;l[s]=h||null}var p=t._fullData[u[e]].dimensions[n];o.length?(1===o.length&&(o=o[0]),a.constraintrange=o,p.constraintrange=o.slice(),o=[o]):(delete a.constraintrange,delete p.constraintrange,o=null);var d={};d[s]=o,t.emit(\"plotly_restyle\",[d,[f[e]]])},hover:function(e){t.emit(\"plotly_hover\",e)},unhover:function(e){t.emit(\"plotly_unhover\",e)},axesMoved:function(e,r){var n=function(t,e){return function(r,n){return s(t,e,r)-s(t,e,n)}}(r,c[e].filter(a));l[e].sort(n),c[e].filter((function(t){return!a(t)})).sort((function(t){return c[e].indexOf(t)})).forEach((function(t){l[e].splice(l[e].indexOf(t),1),l[e].splice(c[e].indexOf(t),0,t)})),t.emit(\"plotly_restyle\",[{dimensions:[l[e]]},[f[e]]])}})}}).reglPrecompiled=o},{\"../../lib/prepare_regl\":528,\"./helpers\":904,\"./parcoords\":908}],910:[function(t,e,r){\"use strict\";var n=t(\"../../plots/attributes\"),i=t(\"../../plots/domain\").attributes,a=t(\"../../plots/font_attributes\"),o=t(\"../../components/color/attributes\"),s=t(\"../../plots/template_attributes\").hovertemplateAttrs,l=t(\"../../plots/template_attributes\").texttemplateAttrs,c=t(\"../../lib/extend\").extendFlat,u=a({editType:\"plot\",arrayOk:!0,colorEditType:\"plot\"});e.exports={labels:{valType:\"data_array\",editType:\"calc\"},label0:{valType:\"number\",dflt:0,editType:\"calc\"},dlabel:{valType:\"number\",dflt:1,editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},marker:{colors:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:o.defaultLine,arrayOk:!0,editType:\"style\"},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},editType:\"calc\"},text:{valType:\"data_array\",editType:\"plot\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"style\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"percent\"],extras:[\"none\"],editType:\"calc\"},hoverinfo:c({},n.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:s({},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),texttemplate:l({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0,editType:\"plot\"},textfont:c({},u,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:c({},u,{}),outsidetextfont:c({},u,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:c({},u,{}),position:{valType:\"enumerated\",values:[\"top left\",\"top center\",\"top right\",\"middle center\",\"bottom left\",\"bottom center\",\"bottom right\"],editType:\"plot\"},editType:\"plot\"},domain:i({name:\"pie\",trace:!0,editType:\"calc\"}),hole:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},sort:{valType:\"boolean\",dflt:!0,editType:\"calc\"},direction:{valType:\"enumerated\",values:[\"clockwise\",\"counterclockwise\"],dflt:\"counterclockwise\",editType:\"calc\"},rotation:{valType:\"angle\",dflt:0,editType:\"calc\"},pull:{valType:\"number\",min:0,max:1,dflt:0,arrayOk:!0,editType:\"calc\"},_deprecated:{title:{valType:\"string\",dflt:\"\",editType:\"calc\"},titlefont:c({},u,{}),titleposition:{valType:\"enumerated\",values:[\"top left\",\"top center\",\"top right\",\"middle center\",\"bottom left\",\"bottom center\",\"bottom right\"],editType:\"calc\"}}}},{\"../../components/color/attributes\":366,\"../../lib/extend\":505,\"../../plots/attributes\":562,\"../../plots/domain\":593,\"../../plots/font_attributes\":594,\"../../plots/template_attributes\":642}],911:[function(t,e,r){\"use strict\";var n=t(\"../../plots/plots\");r.name=\"pie\",r.plot=function(t,e,i,a){n.plotBasePlot(r.name,t,e,i,a)},r.clean=function(t,e,i,a){n.cleanBasePlot(r.name,t,e,i,a)}},{\"../../plots/plots\":628}],912:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"tinycolor2\"),a=t(\"../../components/color\"),o={};function s(t){return function(e,r){return!!e&&(!!(e=i(e)).isValid()&&(e=a.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e))}}function l(t,e){var r,n=JSON.stringify(t),a=e[n];if(!a){for(a=t.slice(),r=0;r<t.length;r++)a.push(i(t[r]).lighten(20).toHexString());for(r=0;r<t.length;r++)a.push(i(t[r]).darken(20).toHexString());e[n]=a}return a}e.exports={calc:function(t,e){var r,i,a=[],o=t._fullLayout,l=o.hiddenlabels||[],c=e.labels,u=e.marker.colors||[],f=e.values,h=e._length,p=e._hasValues&&h;if(e.dlabel)for(c=new Array(h),r=0;r<h;r++)c[r]=String(e.label0+r*e.dlabel);var d={},m=s(o[\"_\"+e.type+\"colormap\"]),g=0,v=!1;for(r=0;r<h;r++){var y,x,b;if(p){if(y=f[r],!n(y))continue;y=+y}else y=1;void 0!==(x=c[r])&&\"\"!==x||(x=r);var _=d[x=String(x)];void 0===_?(d[x]=a.length,(b=-1!==l.indexOf(x))||(g+=y),a.push({v:y,label:x,color:m(u[r],x),i:r,pts:[r],hidden:b})):(v=!0,(i=a[_]).v+=y,i.pts.push(r),i.hidden||(g+=y),!1===i.color&&u[r]&&(i.color=m(u[r],x)))}return a=a.filter((function(t){return t.v>=0})),(\"funnelarea\"===e.type?v:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=g),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\"pie\");var n=t._fullLayout,i=t.calcdata,a=n[r+\"colorway\"],s=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(a=l(a,o));for(var c=0,u=0;u<i.length;u++){var f=i[u];if(f[0].trace.type===r)for(var h=0;h<f.length;h++){var p=f[h];!1===p.color&&(s[p.label]?p.color=s[p.label]:(s[p.label]=p.color=a[c%a.length],c++))}}},makePullColorFn:s,generateExtendedColors:l}},{\"../../components/color\":367,\"fast-isnumeric\":190,tinycolor2:313}],913:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib\"),a=t(\"./attributes\"),o=t(\"../../plots/domain\").defaults,s=t(\"../bar/defaults\").handleText;function l(t,e){var r=Array.isArray(t),a=i.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,a?e.length:1/0);if(isFinite(o)||(o=0),o&&a){for(var s,l=0;l<o;l++){var c=e[l];if(n(c)&&c>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}e.exports={handleLabelsAndValues:l,supplyDefaults:function(t,e,r,n){function c(r,n){return i.coerce(t,e,a,r,n)}var u=l(c(\"labels\"),c(\"values\")),f=u.len;if(e._hasLabels=u.hasLabels,e._hasValues=u.hasValues,!e._hasLabels&&e._hasValues&&(c(\"label0\"),c(\"dlabel\")),f){e._length=f,c(\"marker.line.width\")&&c(\"marker.line.color\"),c(\"marker.colors\"),c(\"scalegroup\");var h,p=c(\"text\"),d=c(\"texttemplate\");if(d||(h=c(\"textinfo\",Array.isArray(p)?\"text+percent\":\"percent\")),c(\"hovertext\"),c(\"hovertemplate\"),d||h&&\"none\"!==h){var m=c(\"textposition\");s(t,e,n,c,m,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(m)||\"auto\"===m||\"outside\"===m)&&c(\"automargin\"),(\"inside\"===m||\"auto\"===m||Array.isArray(m))&&c(\"insidetextorientation\")}o(e,n,c);var g=c(\"hole\");if(c(\"title.text\")){var v=c(\"title.position\",g?\"middle center\":\"top center\");g||\"middle center\"!==v||(e.title.position=\"top center\"),i.coerceFont(c,\"title.font\",n.font)}c(\"sort\"),c(\"direction\"),c(\"rotation\"),c(\"pull\")}else e.visible=!1}}},{\"../../lib\":515,\"../../plots/domain\":593,\"../bar/defaults\":661,\"./attributes\":910,\"fast-isnumeric\":190}],914:[function(t,e,r){\"use strict\";var n=t(\"../../components/fx/helpers\").appendArrayMultiPointValues;e.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,bbox:t.bbox,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),\"funnelarea\"===e.type&&(delete r.v,delete r.i),r}},{\"../../components/fx/helpers\":403}],915:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");function i(t){return-1!==t.indexOf(\"e\")?t.replace(/[.]?0+e/,\"e\"):-1!==t.indexOf(\".\")?t.replace(/[.]?0+$/,\"\"):t}r.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+\"%\"},r.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},r.getFirstFilled=function(t,e){if(Array.isArray(t))for(var r=0;r<e.length;r++){var n=t[e[r]];if(n||0===n||\"\"===n)return n}},r.castOption=function(t,e){return Array.isArray(t)?r.getFirstFilled(t,e):t||void 0},r.getRotationAngle=function(t){return(\"auto\"===t?0:t)*Math.PI/180}},{\"../../lib\":515}],916:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\").supplyDefaults,supplyLayoutDefaults:t(\"./layout_defaults\"),layoutAttributes:t(\"./layout_attributes\"),calc:t(\"./calc\").calc,crossTraceCalc:t(\"./calc\").crossTraceCalc,plot:t(\"./plot\").plot,style:t(\"./style\"),styleOne:t(\"./style_one\"),moduleType:\"trace\",name:\"pie\",basePlotModule:t(\"./base_plot\"),categories:[\"pie-like\",\"pie\",\"showLegend\"],meta:{}}},{\"./attributes\":910,\"./base_plot\":911,\"./calc\":912,\"./defaults\":913,\"./layout_attributes\":917,\"./layout_defaults\":918,\"./plot\":919,\"./style\":920,\"./style_one\":921}],917:[function(t,e,r){\"use strict\";e.exports={hiddenlabels:{valType:\"data_array\",editType:\"calc\"},piecolorway:{valType:\"colorlist\",editType:\"calc\"},extendpiecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},{}],918:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./layout_attributes\");e.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"hiddenlabels\"),r(\"piecolorway\",e.colorway),r(\"extendpiecolors\")}},{\"../../lib\":515,\"./layout_attributes\":917}],919:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../plots/plots\"),a=t(\"../../components/fx\"),o=t(\"../../components/color\"),s=t(\"../../components/drawing\"),l=t(\"../../lib\"),c=l.strScale,u=l.strTranslate,f=t(\"../../lib/svg_text_utils\"),h=t(\"../bar/uniform_text\"),p=h.recordMinTextSize,d=h.clearMinTextSize,m=t(\"../bar/constants\").TEXTPAD,g=t(\"./helpers\"),v=t(\"./event_data\"),y=t(\"../../lib\").isValidTextValue;function x(t,e,r){var i=r[0],o=i.cx,s=i.cy,c=i.trace,u=\"funnelarea\"===c.type;\"_hasHoverLabel\"in c||(c._hasHoverLabel=!1),\"_hasHoverEvent\"in c||(c._hasHoverEvent=!1),t.on(\"mouseover\",(function(t){var r=e._fullLayout,f=e._fullData[c.index];if(!e._dragging&&!1!==r.hovermode){var h=f.hoverinfo;if(Array.isArray(h)&&(h=a.castHoverinfo({hoverinfo:[g.castOption(h,t.pts)],_module:c._module},r,0)),\"all\"===h&&(h=\"label+text+value+percent+name\"),f.hovertemplate||\"none\"!==h&&\"skip\"!==h&&h){var p=t.rInscribed||0,d=o+t.pxmid[0]*(1-p),m=s+t.pxmid[1]*(1-p),y=r.separators,x=[];if(h&&-1!==h.indexOf(\"label\")&&x.push(t.label),t.text=g.castOption(f.hovertext||f.text,t.pts),h&&-1!==h.indexOf(\"text\")){var b=t.text;l.isValidTextValue(b)&&x.push(b)}t.value=t.v,t.valueLabel=g.formatPieValue(t.v,y),h&&-1!==h.indexOf(\"value\")&&x.push(t.valueLabel),t.percent=t.v/i.vTotal,t.percentLabel=g.formatPiePercent(t.percent,y),h&&-1!==h.indexOf(\"percent\")&&x.push(t.percentLabel);var _=f.hoverlabel,w=_.font,T=[];a.loneHover({trace:c,x0:d-p*i.r,x1:d+p*i.r,y:m,_x0:u?o+t.TL[0]:d-p*i.r,_x1:u?o+t.TR[0]:d+p*i.r,_y0:u?s+t.TL[1]:m-p*i.r,_y1:u?s+t.BL[1]:m+p*i.r,text:x.join(\"<br>\"),name:f.hovertemplate||-1!==h.indexOf(\"name\")?f.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:g.castOption(_.bgcolor,t.pts)||t.color,borderColor:g.castOption(_.bordercolor,t.pts),fontFamily:g.castOption(w.family,t.pts),fontSize:g.castOption(w.size,t.pts),fontColor:g.castOption(w.color,t.pts),nameLength:g.castOption(_.namelength,t.pts),textAlign:g.castOption(_.align,t.pts),hovertemplate:g.castOption(f.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[v(t,f)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],c._hasHoverLabel=!0}c._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[v(t,f)],event:n.event})}})),t.on(\"mouseout\",(function(t){var r=e._fullLayout,i=e._fullData[c.index],o=n.select(this).datum();c._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[v(o,i)],event:n.event}),c._hasHoverEvent=!1),c._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),c._hasHoverLabel=!1)})),t.on(\"click\",(function(t){var r=e._fullLayout,i=e._fullData[c.index];e._dragging||!1===r.hovermode||(e._hoverdata=[v(t,i)],a.click(e,n.event))}))}function b(t,e,r){var n=g.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=g.castOption(t._input.textfont.color,e.pts));var i=g.castOption(t.insidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.insidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:i,size:a}}function _(t,e){for(var r,n,i=0;i<t.length;i++)if((n=(r=t[i][0]).trace).title.text){var a=n.title.text;n._meta&&(a=l.templateString(a,n._meta));var o=s.tester.append(\"text\").attr(\"data-notex\",1).text(a).call(s.font,n.title.font).call(f.convertToTspans,e),c=s.bBox(o.node(),!0);r.titleBox={width:c.width,height:c.height},o.remove()}}function w(t,e,r){var n=r.r||e.rpx1,i=e.rInscribed;if(e.startangle===e.stopangle)return{rCenter:1-i,scale:0,rotate:0,textPosAngle:0};var a,o=e.ring,s=1===o&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,l=e.halfangle,c=e.midangle,u=r.trace.insidetextorientation,f=\"horizontal\"===u,h=\"tangential\"===u,p=\"radial\"===u,d=\"auto\"===u,m=[];if(!d){var g,v=function(r,i){if(function(t,e){var r=t.startangle,n=t.stopangle;return r>e&&e>n||r<e&&e<n}(e,r)){var s=Math.abs(r-e.startangle),l=Math.abs(r-e.stopangle),c=s<l?s:l;(a=\"tan\"===i?k(t,n,o,c,0):T(t,n,o,c,Math.PI/2)).textPosAngle=r,m.push(a)}};if(f||h){for(g=4;g>=-4;g-=2)v(Math.PI*g,\"tan\");for(g=4;g>=-4;g-=2)v(Math.PI*(g+1),\"tan\")}if(f||p){for(g=4;g>=-4;g-=2)v(Math.PI*(g+1.5),\"rad\");for(g=4;g>=-4;g-=2)v(Math.PI*(g+.5),\"rad\")}}if(s||d||f){var y=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/y,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;m.push(a)}(d||p)&&((a=T(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,m.push(a)),(d||h)&&((a=k(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,m.push(a));for(var x=0,b=0,_=0;_<m.length;_++){var w=m[_].scale;if(b<w&&(b=w,x=_),!d&&b>=1)break}return m[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*m);var a=t.width/t.height,o=S(a,n,e,r);return{scale:2*o/t.height,rCenter:A(a,o/e),rotate:M(i)}}function k(t,e,r,n,i){e=Math.max(0,e-2*m);var a=t.height/t.width,o=S(a,n,e,r);return{scale:2*o/t.width,rCenter:A(a,o/e),rotate:M(i+Math.PI/2)}}function A(t,e){return Math.cos(e)-t*e}function M(t){return(180/Math.PI*t+720)%180-90}function S(t,e,r,n){var i=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(i*i+.5)+i),n/(Math.sqrt(t*t+n/2)+t))}function E(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function L(t,e){var r=e.pxmid[0],n=e.pxmid[1],i=t.width/2,a=t.height/2;return r<0&&(i*=-1),n<0&&(a*=-1),{scale:1,rCenter:1,rotate:0,x:i+Math.abs(a)*(i>0?1:-1)/2,y:a/(1+r*r/(n*n)),outside:!0}}function C(t,e){var r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=I(a),-1!==a.title.position.indexOf(\"top\")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf(\"bottom\")&&(o.y+=(1+i)*t.r);var l,c,u=(l=t.r,c=t.trace.aspectratio,l/(void 0===c?1:c)),f=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf(\"left\")?(f+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf(\"center\")?f*=2:-1!==a.title.position.indexOf(\"right\")&&(f+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=f/t.titleBox.width,n=P(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function P(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function I(t){var e,r=t.pull;if(!r)return 0;if(Array.isArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function O(t,e){for(var r=[],n=0;n<t.length;n++){var i=t[n][0],a=i.trace,o=a.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);a.title.text&&\"middle center\"!==a.title.position&&(l-=P(i,e));var c=s/2,u=l/2;\"funnelarea\"!==a.type||a.scalegroup||(u/=a.aspectratio),i.r=Math.min(c,u)/(1+I(a)),i.cx=e.l+e.w*(a.domain.x[1]+a.domain.x[0])/2,i.cy=e.t+e.h*(1-a.domain.y[0])-l/2,a.title.text&&-1!==a.title.position.indexOf(\"bottom\")&&(i.cy-=P(i,e)),a.scalegroup&&-1===r.indexOf(a.scalegroup)&&r.push(a.scalegroup)}!function(t,e){for(var r,n,i,a=0;a<e.length;a++){var o=1/0,s=e[a];for(n=0;n<t.length;n++)if(r=t[n][0],(i=r.trace).scalegroup===s){var l;if(\"pie\"===i.type)l=r.r*r.r;else if(\"funnelarea\"===i.type){var c,u;i.aspectratio>1?(c=r.r,u=c/i.aspectratio):(u=r.r,c=u*i.aspectratio),c*=(1+i.baseratio)/2,l=c*u}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if(r=t[n][0],(i=r.trace).scalegroup===s){var f=o*r.vTotal;\"funnelarea\"===i.type&&(f/=(1+i.baseratio)/2,f/=i.aspectratio),r.r=Math.sqrt(f)}}}(t,r)}function z(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function D(t,e,r){var n=t._fullLayout,i=r.trace,a=i.texttemplate,o=i.textinfo;if(!a&&o&&\"none\"!==o){var s,c=o.split(\"+\"),u=function(t){return-1!==c.indexOf(t)},f=u(\"label\"),h=u(\"text\"),p=u(\"value\"),d=u(\"percent\"),m=n.separators;if(s=f?[e.label]:[],h){var v=g.getFirstFilled(i.text,e.pts);y(v)&&s.push(v)}p&&s.push(g.formatPieValue(e.v,m)),d&&s.push(g.formatPiePercent(e.v/r.vTotal,m)),e.text=s.join(\"<br>\")}if(a){var x=l.castOption(i,e.i,\"texttemplate\");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:g.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:g.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,\"customdata\")}}(e),_=g.getFirstFilled(i.text,e.pts);(y(_)||\"\"===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,i._meta||{})}else e.text=\"\"}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}e.exports={plot:function(t,e){var r=t._context.staticPlot,a=t._fullLayout,h=a._size;d(\"pie\",a),_(e,t),O(e,h);var m=l.makeTraceGroups(a._pielayer,e,\"trace\").each((function(e){var d=n.select(this),m=e[0],v=m.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=g.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,c=\"px0\",u=\"px1\";if(\"counterclockwise\"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,c=\"px1\",u=\"px0\"}for(n=z(a,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[c]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=z(a,s),r.midangle=s,s+=l*r.v/2,n=z(a,s),r.stopangle=s,r[u]=n,r.largeArc=r.v>i.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),d.attr(\"stroke-linejoin\",\"round\"),d.each((function(){var y=n.select(this).selectAll(\"g.slice\").data(e);y.enter().append(\"g\").classed(\"slice\",!0),y.exit().remove();var _=[[[],[]],[[],[]]],T=!1;y.each((function(i,o){if(i.hidden)n.select(this).selectAll(\"path,g\").remove();else{i.pointNumber=i.i,i.curveNumber=v.index,_[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var c=m.cx,u=m.cy,h=n.select(this),d=h.selectAll(\"path.surface\").data([i]);if(d.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":r?\"none\":\"all\"}),h.call(x,t,e),v.pull){var y=+g.castOption(v.pull,i.pts)||0;y>0&&(c+=y*i.pxmid[0],u+=y*i.pxmid[1])}i.cxFinal=c,i.cyFinal=u;var k=v.hole;if(i.v===m.vTotal){var A=\"M\"+(c+i.px0[0])+\",\"+(u+i.px0[1])+P(i.px0,i.pxmid,!0,1)+P(i.pxmid,i.px0,!0,1)+\"Z\";k?d.attr(\"d\",\"M\"+(c+k*i.px0[0])+\",\"+(u+k*i.px0[1])+P(i.px0,i.pxmid,!1,k)+P(i.pxmid,i.px0,!1,k)+\"Z\"+A):d.attr(\"d\",A)}else{var M=P(i.px0,i.px1,!0,1);if(k){var S=1-k;d.attr(\"d\",\"M\"+(c+k*i.px1[0])+\",\"+(u+k*i.px1[1])+P(i.px1,i.px0,!1,k)+\"l\"+S*i.px0[0]+\",\"+S*i.px0[1]+M+\"Z\")}else d.attr(\"d\",\"M\"+c+\",\"+u+\"l\"+i.px0[0]+\",\"+i.px0[1]+M+\"Z\")}D(t,i,m);var E=g.castOption(v.textposition,i.pts),C=h.selectAll(\"g.slicetext\").data(i.text&&\"none\"!==E?[0]:[]);C.enter().append(\"g\").classed(\"slicetext\",!0),C.exit().remove(),C.each((function(){var r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),h=l.ensureUniformFontSize(t,\"outside\"===E?function(t,e,r){var n=g.castOption(t.outsidetextfont.color,e.pts)||g.castOption(t.textfont.color,e.pts)||r.color,i=g.castOption(t.outsidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.outsidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size;return{color:n,family:i,size:a}}(v,i,a.font):b(v,i,a.font));r.text(i.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,h).call(f.convertToTspans,t);var d,y=s.bBox(r.node());if(\"outside\"===E)d=L(y,i);else if(d=w(y,i,m),\"auto\"===E&&d.scale<1){var x=l.ensureUniformFontSize(t,v.outsidetextfont);r.call(s.font,x),d=L(y=s.bBox(r.node()),i)}var _=d.textPosAngle,k=void 0===_?i.pxmid:z(m.r,_);if(d.targetX=c+k[0]*d.rCenter+(d.x||0),d.targetY=u+k[1]*d.rCenter+(d.y||0),R(d,y),d.outside){var A=d.targetY;i.yLabelMin=A-y.height/2,i.yLabelMid=A,i.yLabelMax=A+y.height/2,i.labelExtraX=0,i.labelExtraY=0,T=!0}d.fontSize=h.size,p(v.type,d,a),e[o].transform=d,l.setTransormAndDisplay(r,d)}))}function P(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*m.r+\",\"+n*m.r+\" 0 \"+i.largeArc+(r?\" 1 \":\" 0 \")+a+\",\"+o}}));var k=n.select(this).selectAll(\"g.titletext\").data(v.title.text?[0]:[]);if(k.enter().append(\"g\").classed(\"titletext\",!0),k.exit().remove(),k.each((function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),i=v.title.text;v._meta&&(i=l.templateString(i,v._meta)),r.text(i).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,v.title.font).call(f.convertToTspans,t),e=\"middle center\"===v.title.position?function(t){var e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(m):C(m,h),r.attr(\"transform\",u(e.x,e.y)+c(Math.min(1,e.scale))+u(e.tx,e.ty))})),T&&function(t,e){var r,n,i,a,o,s,l,c,u,f,h,p,d;function m(t,e){return t.pxmid[1]-e.pxmid[1]}function v(t,e){return e.pxmid[1]-t.pxmid[1]}function y(t,r){r||(r={});var i,c,u,h,p=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),d=n?t.yLabelMin:t.yLabelMax,m=n?t.yLabelMax:t.yLabelMin,v=t.cyFinal+o(t.px0[1],t.px1[1]),y=p-d;if(y*l>0&&(t.labelExtraY=y),Array.isArray(e.pull))for(c=0;c<f.length;c++)(u=f[c])===t||(g.castOption(e.pull,t.pts)||0)>=(g.castOption(e.pull,u.pts)||0)||((t.pxmid[1]-u.pxmid[1])*l>0?(y=u.cyFinal+o(u.px0[1],u.px1[1])-d-t.labelExtraY)*l>0&&(t.labelExtraY+=y):(m+t.labelExtraY-v)*l>0&&(i=3*s*Math.abs(c-f.indexOf(t)),(h=u.cxFinal+a(u.px0[0],u.px1[0])+i-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=h)))}for(n=0;n<2;n++)for(i=n?m:v,o=n?Math.max:Math.min,l=n?1:-1,r=0;r<2;r++){for(a=r?Math.max:Math.min,s=r?1:-1,(c=t[n][r]).sort(i),u=t[1-n][r],f=u.concat(c),p=[],h=0;h<c.length;h++)void 0!==c[h].yLabelMid&&p.push(c[h]);for(d=!1,h=0;n&&h<u.length;h++)if(void 0!==u[h].yLabelMid){d=u[h];break}for(h=0;h<p.length;h++){var x=h&&p[h-1];d&&!h&&(x=d),y(p[h],x)}}}(_,v),function(t,e){t.each((function(t){var r=n.select(this);if(t.labelExtraX||t.labelExtraY){var i=r.select(\"g.slicetext text\");t.transform.targetX+=t.labelExtraX,t.transform.targetY+=t.labelExtraY,l.setTransormAndDisplay(i,t.transform);var a=t.cxFinal+t.pxmid[0],s=\"M\"+a+\",\"+(t.cyFinal+t.pxmid[1]),c=(t.yLabelMax-t.yLabelMin)*(t.pxmid[0]<0?-1:1)/4;if(t.labelExtraX){var u=t.labelExtraX*t.pxmid[1]/t.pxmid[0],f=t.yLabelMid+t.labelExtraY-(t.cyFinal+t.pxmid[1]);Math.abs(u)>Math.abs(f)?s+=\"l\"+f*t.pxmid[0]/t.pxmid[1]+\",\"+f+\"H\"+(a+t.labelExtraX+c):s+=\"l\"+t.labelExtraX+\",\"+u+\"v\"+(f-u)+\"h\"+c}else s+=\"V\"+(t.yLabelMid+t.labelExtraY)+\"h\"+c;l.ensureSingle(r,\"path\",\"textline\").call(o.stroke,e.outsidetextfont.color).attr({\"stroke-width\":Math.min(2,e.outsidetextfont.size/8),d:s,fill:\"none\"})}else r.select(\"path.textline\").remove()}))}(y,v),T&&v.automargin){var A=s.bBox(d.node()),M=v.domain,S=h.w*(M.x[1]-M.x[0]),E=h.h*(M.y[1]-M.y[0]),P=(.5*S-m.r)/h.w,I=(.5*E-m.r)/h.h;i.autoMargin(t,\"pie.\"+v.uid+\".automargin\",{xl:M.x[0]-P,xr:M.x[1]+P,yb:M.y[0]-I,yt:M.y[1]+I,l:Math.max(m.cx-m.r-A.left,0),r:Math.max(A.right-(m.cx+m.r),0),b:Math.max(A.bottom-(m.cy+m.r),0),t:Math.max(m.cy-m.r-A.top,0),pad:5})}}))}));setTimeout((function(){m.selectAll(\"tspan\").each((function(){var t=n.select(this);t.attr(\"dy\")&&t.attr(\"dy\",t.attr(\"dy\"))}))}),0)},formatSliceLabel:D,transformInsideText:w,determineInsideTextFont:b,positionTitleOutside:C,prerenderTitles:_,layoutAreas:O,attachFxHandlers:x,computeTransform:R}},{\"../../components/color\":367,\"../../components/drawing\":389,\"../../components/fx\":407,\"../../lib\":515,\"../../lib/svg_text_utils\":541,\"../../plots/plots\":628,\"../bar/constants\":659,\"../bar/uniform_text\":673,\"./event_data\":914,\"./helpers\":915,\"@plotly/d3\":58}],920:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"./style_one\"),a=t(\"../bar/uniform_text\").resizeText;e.exports=function(t){var e=t._fullLayout._pielayer.selectAll(\".trace\");a(t,e,\"pie\"),e.each((function(t){var e=t[0].trace,r=n.select(this);r.style({opacity:e.opacity}),r.selectAll(\"path.surface\").each((function(t){n.select(this).call(i,t,e)}))}))}},{\"../bar/uniform_text\":673,\"./style_one\":921,\"@plotly/d3\":58}],921:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),i=t(\"./helpers\").castOption;e.exports=function(t,e,r){var a=r.marker.line,o=i(a.color,e.pts)||n.defaultLine,s=i(a.width,e.pts)||0;t.style(\"stroke-width\",s).call(n.fill,e.color).call(n.stroke,o)}},{\"../../components/color\":367,\"./helpers\":915}],922:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\");e.exports={x:n.x,y:n.y,xy:{valType:\"data_array\",editType:\"calc\"},indices:{valType:\"data_array\",editType:\"calc\"},xbounds:{valType:\"data_array\",editType:\"calc\"},ybounds:{valType:\"data_array\",editType:\"calc\"},text:n.text,marker:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,arrayOk:!1,editType:\"calc\"},blend:{valType:\"boolean\",dflt:null,editType:\"calc\"},sizemin:{valType:\"number\",min:.1,max:2,dflt:.5,editType:\"calc\"},sizemax:{valType:\"number\",min:.1,dflt:20,editType:\"calc\"},border:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},arearatio:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},editType:\"calc\"},editType:\"calc\"},transforms:void 0}},{\"../scatter/attributes\":936}],923:[function(t,e,r){\"use strict\";var n=t(\"../../../stackgl_modules\").gl_pointcloud2d,i=t(\"../../lib/str2rgbarray\"),a=t(\"../../plots/cartesian/autorange\").findExtremes,o=t(\"../scatter/get_trace_color\");function s(t,e){this.scene=t,this.uid=e,this.type=\"pointcloud\",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color=\"rgb(0, 0, 0)\",this.name=\"\",this.hoverinfo=\"all\",this.idToIndex=new Int32Array(0),this.bounds=[0,0,0,0],this.pointcloudOptions={positions:new Float32Array(0),idToIndex:this.idToIndex,sizemin:.5,sizemax:12,color:[0,0,0,1],areaRatio:1,borderColor:[0,0,0,1]},this.pointcloud=n(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}var l=s.prototype;l.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:Array.isArray(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},l.update=function(t){this.index=t.index,this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=o(t,{})},l.updateFast=function(t){var e,r,n,o,s,l,c=this.xData=this.pickXData=t.x,u=this.yData=this.pickYData=t.y,f=this.pickXYData=t.xy,h=t.xbounds&&t.ybounds,p=t.indices,d=this.bounds;if(f){if(n=f,e=f.length>>>1,h)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(l=0;l<e;l++)o=n[2*l],s=n[2*l+1],o<d[0]&&(d[0]=o),o>d[2]&&(d[2]=o),s<d[1]&&(d[1]=s),s>d[3]&&(d[3]=s);if(p)r=p;else for(r=new Int32Array(e),l=0;l<e;l++)r[l]=l}else for(e=c.length,n=new Float32Array(2*e),r=new 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n=t(\"@plotly/d3\"),i=t(\"../../lib\"),a=i.numberFormat,o=t(\"./render\"),s=t(\"../../components/fx\"),l=t(\"../../components/color\"),c=t(\"./constants\").cn,u=i._;function f(t){return\"\"!==t}function h(t,e){return t.filter((function(t){return t.key===e.traceId}))}function p(t,e){n.select(t).select(\"path\").style(\"fill-opacity\",e),n.select(t).select(\"rect\").style(\"fill-opacity\",e)}function d(t){n.select(t).select(\"text.name\").style(\"fill\",\"black\")}function m(t){return function(e){return-1!==t.node.sourceLinks.indexOf(e.link)||-1!==t.node.targetLinks.indexOf(e.link)}}function g(t){return function(e){return-1!==e.node.sourceLinks.indexOf(t.link)||-1!==e.node.targetLinks.indexOf(t.link)}}function v(t,e,r){e&&r&&h(r,e).selectAll(\".\"+c.sankeyLink).filter(m(e)).call(x.bind(0,e,r,!1))}function y(t,e,r){e&&r&&h(r,e).selectAll(\".\"+c.sankeyLink).filter(m(e)).call(b.bind(0,e,r,!1))}function x(t,e,r,n){var 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x=t._fullLayout._invScaleX,b=t._fullLayout._invScaleY,w=s.loneHover({x0:x*m,x1:x*g,y:b*v,name:a(i.valueFormat)(i.node.value)+i.valueSuffix,text:[i.node.label,A+i.node.targetLinks.length,M+i.node.sourceLinks.length].filter(f).join(\"<br>\"),color:_(o,\"bgcolor\")||i.tinyColorHue,borderColor:_(o,\"bordercolor\"),fontFamily:_(o,\"font.family\"),fontSize:_(o,\"font.size\"),fontColor:_(o,\"font.color\"),nameLength:_(o,\"namelength\"),textAlign:_(o,\"align\"),idealAlign:\"left\",hovertemplate:o.hovertemplate,hovertemplateLabels:y,eventData:[i.node]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t});p(w,.85),d(w)}}},unhover:function(e,i,a){!1!==t._fullLayout.hovermode&&(n.select(e).call(y,i,a),\"skip\"!==i.node.trace.node.hoverinfo&&(i.node.fullData=i.node.trace,t.emit(\"plotly_unhover\",{event:n.event,points:[i.node]})),s.loneUnhover(r._hoverlayer.node()))},select:function(e,r,i){var a=r.node;a.originalEvent=n.event,t._hoverdata=[a],n.select(e).call(y,r,i),s.click(t,{target:!0})}}})}},{\"../../components/color\":367,\"../../components/fx\":407,\"../../lib\":515,\"./constants\":929,\"./render\":933,\"@plotly/d3\":58}],933:[function(t,e,r){\"use strict\";var n=t(\"d3-force\"),i=t(\"d3-interpolate\").interpolateNumber,a=t(\"@plotly/d3\"),o=t(\"@plotly/d3-sankey\"),s=t(\"@plotly/d3-sankey-circular\"),l=t(\"./constants\"),c=t(\"tinycolor2\"),u=t(\"../../components/color\"),f=t(\"../../components/drawing\"),h=t(\"../../lib\"),p=h.strTranslate,d=h.strRotate,m=t(\"../../lib/gup\"),g=m.keyFun,v=m.repeat,y=m.unwrap,x=t(\"../../lib/svg_text_utils\"),b=t(\"../../registry\"),_=t(\"../../constants/alignment\"),w=_.CAP_SHIFT,T=_.LINE_SPACING;function k(t,e,r){var n,i=y(e),a=i.trace,u=a.domain,f=\"h\"===a.orientation,p=a.node.pad,d=a.node.thickness,m=t.width*(u.x[1]-u.x[0]),g=t.height*(u.y[1]-u.y[0]),v=i._nodes,x=i._links,b=i.circular;(n=b?s.sankeyCircular().circularLinkGap(0):o.sankey()).iterations(l.sankeyIterations).size(f?[m,g]:[g,m]).nodeWidth(d).nodePadding(p).nodeId((function(t){return t.pointNumber})).nodes(v).links(x);var _,w,T,k=n();for(var A in n.nodePadding()<p&&h.warn(\"node.pad was reduced to \",n.nodePadding(),\" to fit within the figure.\"),i._groupLookup){var M,S=parseInt(i._groupLookup[A]);for(_=0;_<k.nodes.length;_++)if(k.nodes[_].pointNumber===S){M=k.nodes[_];break}if(M){var E={pointNumber:parseInt(A),x0:M.x0,x1:M.x1,y0:M.y0,y1:M.y1,partOfGroup:!0,sourceLinks:[],targetLinks:[]};k.nodes.unshift(E),M.childrenNodes.unshift(E)}}if(function(){for(_=0;_<k.nodes.length;_++){var t,e,r=k.nodes[_],n={};for(w=0;w<r.targetLinks.length;w++)t=(e=r.targetLinks[w]).source.pointNumber+\":\"+e.target.pointNumber,n.hasOwnProperty(t)||(n[t]=[]),n[t].push(e);var i=Object.keys(n);for(w=0;w<i.length;w++){var a=n[t=i[w]],o=0,s={};for(T=0;T<a.length;T++)s[(e=a[T]).label]||(s[e.label]=0),s[e.label]+=e.value,o+=e.value;for(T=0;T<a.length;T++)(e=a[T]).flow={value:o,labelConcentration:s[e.label]/o,concentration:e.value/o,links:a},e.concentrationscale&&(e.color=c(e.concentrationscale(e.flow.labelConcentration)))}var l=0;for(w=0;w<r.sourceLinks.length;w++)l+=r.sourceLinks[w].value;for(w=0;w<r.sourceLinks.length;w++)(e=r.sourceLinks[w]).concentrationOut=e.value/l;var u=0;for(w=0;w<r.targetLinks.length;w++)u+=r.targetLinks[w].value;for(w=0;w<r.targetLinks.length;w++)(e=r.targetLinks[w]).concenrationIn=e.value/u}}(),a.node.x.length&&a.node.y.length){for(_=0;_<Math.min(a.node.x.length,a.node.y.length,k.nodes.length);_++)if(a.node.x[_]&&a.node.y[_]){var L=[a.node.x[_]*m,a.node.y[_]*g];k.nodes[_].x0=L[0]-d/2,k.nodes[_].x1=L[0]+d/2;var C=k.nodes[_].y1-k.nodes[_].y0;k.nodes[_].y0=L[1]-C/2,k.nodes[_].y1=L[1]+C/2}if(\"snap\"===a.arrangement)!function(t){t.forEach((function(t){var e,r,n,i=0,a=t.length;for(t.sort((function(t,e){return t.y0-e.y0})),n=0;n<a;++n)(e=t[n]).y0>=i||(r=i-e.y0)>1e-6&&(e.y0+=r,e.y1+=r),i=e.y1+p}))}(function(t){var e,r,n=t.map((function(t,e){return{x0:t.x0,index:e}})).sort((function(t,e){return t.x0-e.x0})),i=[],a=-1,o=-1/0;for(_=0;_<n.length;_++){var s=t[n[_].index];s.x0>o+d&&(a+=1,e=s.x0),o=s.x0,i[a]||(i[a]=[]),i[a].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return 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e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:i,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:u.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkPath:M,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,linkArrowLength:t.linkArrowLength,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function M(){return function(t){var e=t.linkArrowLength;if(t.link.circular)return function(t,e){var r=t.width/2,n=t.circularPathData;return\"top\"===t.circularLinkType?\"M \"+(n.targetX-e)+\" \"+(n.targetY+r)+\" L\"+(n.rightInnerExtent-e)+\" \"+(n.targetY+r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 1 \"+(n.rightFullExtent-r-e)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r-e)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 1 \"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent-r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 1 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 0 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 0 \"+(n.rightFullExtent+r-e)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r-e)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 0 \"+(n.rightInnerExtent-e)+\" \"+(n.targetY-r)+\"L\"+(n.targetX-e)+\" \"+(n.targetY-r)+(e>0?\"L\"+n.targetX+\" \"+n.targetY:\"\")+\"Z\":\"M \"+(n.targetX-e)+\" \"+(n.targetY-r)+\" L\"+(n.rightInnerExtent-e)+\" \"+(n.targetY-r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 0 \"+(n.rightFullExtent-r-e)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r-e)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 0 \"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent+r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 0 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 1 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 1 \"+(n.rightFullExtent+r-e)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r-e)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 1 \"+(n.rightInnerExtent-e)+\" \"+(n.targetY+r)+\"L\"+(n.targetX-e)+\" \"+(n.targetY+r)+(e>0?\"L\"+n.targetX+\" \"+n.targetY:\"\")+\"Z\"}(t.link,e);var r=Math.abs((t.link.target.x0-t.link.source.x1)/2);e>r&&(e=r);var n=t.link.source.x1,a=t.link.target.x0-e,o=i(n,a),s=o(.5),l=o(.5),c=t.link.y0-t.link.width/2,u=t.link.y0+t.link.width/2,f=t.link.y1-t.link.width/2,h=t.link.y1+t.link.width/2,p=\"M\"+n+\",\"+c,d=\"C\"+s+\",\"+c+\" \"+l+\",\"+f+\" \"+a+\",\"+f,m=\"C\"+l+\",\"+h+\" \"+s+\",\"+u+\" \"+n+\",\"+u,g=e>0?\"L\"+(a+e)+\",\"+(f+t.link.width/2):\"\";return p+d+(g+=\"L\"+a+\",\"+h)+m+\"Z\"}}function S(t,e){var r=c(e.color),n=l.nodePadAcross,i=t.nodePad/2;e.dx=e.x1-e.x0,e.dy=e.y1-e.y0;var a=e.dx,o=Math.max(.5,e.dy),s=\"node_\"+e.pointNumber;return e.group&&(s=h.randstr()),e.trace=t.trace,e.curveNumber=t.trace.index,{index:e.pointNumber,key:s,partOfGroup:e.partOfGroup||!1,group:e.group,traceId:t.key,trace:t.trace,node:e,nodePad:t.nodePad,nodeLineColor:t.nodeLineColor,nodeLineWidth:t.nodeLineWidth,textFont:t.textFont,size:t.horizontal?t.height:t.width,visibleWidth:Math.ceil(a),visibleHeight:o,zoneX:-n,zoneY:-i,zoneWidth:a+2*n,zoneHeight:o+2*i,labelY:t.horizontal?e.dy/2+1:e.dx/2+1,left:1===e.originalLayer,sizeAcross:t.width,forceLayouts:t.forceLayouts,horizontal:t.horizontal,darkBackground:r.getBrightness()<=128,tinyColorHue:u.tinyRGB(r),tinyColorAlpha:r.getAlpha(),valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,graph:t.graph,arrangement:t.arrangement,uniqueNodeLabelPathId:[t.guid,t.key,s].join(\"_\"),interactionState:t.interactionState,figure:t}}function E(t){t.attr(\"transform\",(function(t){return p(t.node.x0.toFixed(3),t.node.y0.toFixed(3))}))}function L(t){t.call(E)}function C(t,e){t.call(L),e.attr(\"d\",M())}function P(t){t.attr(\"width\",(function(t){return t.node.x1-t.node.x0})).attr(\"height\",(function(t){return t.visibleHeight}))}function I(t){return t.link.width>1||t.linkLineWidth>0}function O(t){return p(t.translateX,t.translateY)+(t.horizontal?\"matrix(1 0 0 1 0 0)\":\"matrix(0 1 1 0 0 0)\")}function z(t,e,r){t.on(\".basic\",null).on(\"mouseover.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.hover(this,t,e),t.interactionState.hovered=[this,t])})).on(\"mousemove.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.follow(this,t),t.interactionState.hovered=[this,t])})).on(\"mouseout.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.unhover(this,t,e),t.interactionState.hovered=!1)})).on(\"click.basic\",(function(t){t.interactionState.hovered&&(r.unhover(this,t,e),t.interactionState.hovered=!1),t.interactionState.dragInProgress||t.partOfGroup||r.select(this,t,e)}))}function D(t,e,r,i){var o=a.behavior.drag().origin((function(t){return{x:t.node.x0+t.visibleWidth/2,y:t.node.y0+t.visibleHeight/2}})).on(\"dragstart\",(function(a){if(\"fixed\"!==a.arrangement&&(h.ensureSingle(i._fullLayout._infolayer,\"g\",\"dragcover\",(function(t){i._fullLayout._dragCover=t})),h.raiseToTop(this),a.interactionState.dragInProgress=a.node,F(a.node),a.interactionState.hovered&&(r.nodeEvents.unhover.apply(0,a.interactionState.hovered),a.interactionState.hovered=!1),\"snap\"===a.arrangement)){var o=a.traceId+\"|\"+a.key;a.forceLayouts[o]?a.forceLayouts[o].alpha(1):function(t,e,r,i){!function(t){for(var e=0;e<t.length;e++)t[e].y=(t[e].y0+t[e].y1)/2,t[e].x=(t[e].x0+t[e].x1)/2}(r.graph.nodes);var a=r.graph.nodes.filter((function(t){return t.originalX===r.node.originalX})).filter((function(t){return!t.partOfGroup}));r.forceLayouts[e]=n.forceSimulation(a).alphaDecay(0).force(\"collide\",n.forceCollide().radius((function(t){return t.dy/2+r.nodePad/2})).strength(1).iterations(l.forceIterations)).force(\"constrain\",function(t,e,r,n){return function(){for(var t=0,i=0;i<r.length;i++){var a=r[i];a===n.interactionState.dragInProgress?(a.x=a.lastDraggedX,a.y=a.lastDraggedY):(a.vx=(a.originalX-a.x)/l.forceTicksPerFrame,a.y=Math.min(n.size-a.dy/2,Math.max(a.dy/2,a.y))),t=Math.max(t,Math.abs(a.vx),Math.abs(a.vy))}!n.interactionState.dragInProgress&&t<.1&&n.forceLayouts[e].alpha()>0&&n.forceLayouts[e].alpha(0)}}(0,e,a,r)).stop()}(0,o,a),function(t,e,r,n,i){window.requestAnimationFrame((function a(){var o;for(o=0;o<l.forceTicksPerFrame;o++)r.forceLayouts[n].tick();if(function(t){for(var e=0;e<t.length;e++)t[e].y0=t[e].y-t[e].dy/2,t[e].y1=t[e].y0+t[e].dy,t[e].x0=t[e].x-t[e].dx/2,t[e].x1=t[e].x0+t[e].dx}(r.graph.nodes),r.sankey.update(r.graph),C(t.filter(B(r)),e),r.forceLayouts[n].alpha()>0)window.requestAnimationFrame(a);else{var s=r.node.originalX;r.node.x0=s-r.visibleWidth/2,r.node.x1=s+r.visibleWidth/2,R(r,i)}}))}(t,e,a,o,i)}})).on(\"drag\",(function(r){if(\"fixed\"!==r.arrangement){var n=a.event.x,i=a.event.y;\"snap\"===r.arrangement?(r.node.x0=n-r.visibleWidth/2,r.node.x1=n+r.visibleWidth/2,r.node.y0=i-r.visibleHeight/2,r.node.y1=i+r.visibleHeight/2):(\"freeform\"===r.arrangement&&(r.node.x0=n-r.visibleWidth/2,r.node.x1=n+r.visibleWidth/2),i=Math.max(0,Math.min(r.size-r.visibleHeight/2,i)),r.node.y0=i-r.visibleHeight/2,r.node.y1=i+r.visibleHeight/2),F(r.node),\"snap\"!==r.arrangement&&(r.sankey.update(r.graph),C(t.filter(B(r)),e))}})).on(\"dragend\",(function(t){if(\"fixed\"!==t.arrangement){t.interactionState.dragInProgress=!1;for(var e=0;e<t.node.childrenNodes.length;e++)t.node.childrenNodes[e].x=t.node.x,t.node.childrenNodes[e].y=t.node.y;\"snap\"!==t.arrangement&&R(t,i)}}));t.on(\".drag\",null).call(o)}function R(t,e){for(var r=[],n=[],i=0;i<t.graph.nodes.length;i++){var a=(t.graph.nodes[i].x0+t.graph.nodes[i].x1)/2,o=(t.graph.nodes[i].y0+t.graph.nodes[i].y1)/2;r.push(a/t.figure.width),n.push(o/t.figure.height)}b.call(\"_guiRestyle\",e,{\"node.x\":[r],\"node.y\":[n]},t.trace.index).then((function(){e._fullLayout._dragCover&&e._fullLayout._dragCover.remove()}))}function F(t){t.lastDraggedX=t.x0+t.dx/2,t.lastDraggedY=t.y0+t.dy/2}function B(t){return function(e){return e.node.originalX===t.node.originalX}}e.exports=function(t,e,r,n,i){var o=t._context.staticPlot,s=!1;h.ensureSingle(t._fullLayout._infolayer,\"g\",\"first-render\",(function(){s=!0}));var m=t._fullLayout._dragCover,b=r.filter((function(t){return 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n=t(\"../scatter/attributes\"),i=t(\"../../plots/attributes\"),a=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../../plots/template_attributes\").texttemplateAttrs,s=t(\"../../components/colorscale/attributes\"),l=t(\"../../lib/extend\").extendFlat,c=n.marker,u=n.line,f=c.line;e.exports={carpet:{valType:\"string\",editType:\"calc\"},a:{valType:\"data_array\",editType:\"calc\"},b:{valType:\"data_array\",editType:\"calc\"},mode:l({},n.mode,{dflt:\"markers\"}),text:l({},n.text,{}),texttemplate:o({editType:\"plot\"},{keys:[\"a\",\"b\",\"text\"]}),hovertext:l({},n.hovertext,{}),line:{color:u.color,width:u.width,dash:u.dash,backoff:u.backoff,shape:l({},u.shape,{values:[\"linear\",\"spline\"]}),smoothing:u.smoothing,editType:\"calc\"},connectgaps:n.connectgaps,fill:l({},n.fill,{values:[\"none\",\"toself\",\"tonext\"],dflt:\"none\"}),fillcolor:n.fillcolor,marker:l({symbol:c.symbol,opacity:c.opacity,maxdisplayed:c.maxdisplayed,angle:c.angle,angleref:c.angleref,standoff:c.standoff,size:c.size,sizeref:c.sizeref,sizemin:c.sizemin,sizemode:c.sizemode,line:l({width:f.width,editType:\"calc\"},s(\"marker.line\")),gradient:c.gradient,editType:\"calc\"},s(\"marker\")),textfont:n.textfont,textposition:n.textposition,selected:n.selected,unselected:n.unselected,hoverinfo:l({},i.hoverinfo,{flags:[\"a\",\"b\",\"text\",\"name\"]}),hoveron:n.hoveron,hovertemplate:a()}},{\"../../components/colorscale/attributes\":374,\"../../lib/extend\":505,\"../../plots/attributes\":562,\"../../plots/template_attributes\":642,\"../scatter/attributes\":936}],971:[function(t,e,r){\"use 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n=t(\"../../lib\"),i=t(\"../scatter/constants\"),a=t(\"../scatter/subtypes\"),o=t(\"../scatter/marker_defaults\"),s=t(\"../scatter/line_defaults\"),l=t(\"../scatter/line_shape_defaults\"),c=t(\"../scatter/text_defaults\"),u=t(\"../scatter/fillcolor_defaults\"),f=t(\"./attributes\");e.exports=function(t,e,r,h){function p(r,i){return n.coerce(t,e,f,r,i)}p(\"carpet\"),e.xaxis=\"x\",e.yaxis=\"y\";var d=p(\"a\"),m=p(\"b\"),g=Math.min(d.length,m.length);if(g){e._length=g,p(\"text\"),p(\"texttemplate\"),p(\"hovertext\"),p(\"mode\",g<i.PTS_LINESONLY?\"lines+markers\":\"lines\"),a.hasLines(e)&&(s(t,e,r,h,p,{backoff:!0}),l(t,e,p),p(\"connectgaps\")),a.hasMarkers(e)&&o(t,e,r,h,p,{gradient:!0}),a.hasText(e)&&c(t,e,h,p);var v=[];(a.hasMarkers(e)||a.hasText(e))&&(p(\"marker.maxdisplayed\"),v.push(\"points\")),p(\"fill\"),\"none\"!==e.fill&&(u(t,e,r,p),a.hasLines(e)||l(t,e,p)),\"tonext\"!==e.fill&&\"toself\"!==e.fill||v.push(\"fills\"),\"fills\"!==p(\"hoveron\",v.join(\"+\")||\"points\")&&p(\"hovertemplate\"),n.coerceSelectionMarkerOpacity(e,p)}else e.visible=!1}},{\"../../lib\":515,\"../scatter/constants\":940,\"../scatter/fillcolor_defaults\":944,\"../scatter/line_defaults\":949,\"../scatter/line_shape_defaults\":951,\"../scatter/marker_defaults\":955,\"../scatter/subtypes\":961,\"../scatter/text_defaults\":962,\"./attributes\":970}],973:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n,i){var a=n[i];return t.a=a.a,t.b=a.b,t.y=a.y,t}},{}],974:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r={},n=e._carpet,i=n.ab2ij([t.a,t.b]),a=Math.floor(i[0]),o=i[0]-a,s=Math.floor(i[1]),l=i[1]-s,c=n.evalxy([],a,s,o,l);return r.yLabel=c[1].toFixed(3),r}},{}],975:[function(t,e,r){\"use strict\";var n=t(\"../scatter/hover\"),i=t(\"../../lib\").fillText;e.exports=function(t,e,r,a){var o=n(t,e,r,a);if(o&&!1!==o[0].index){var s=o[0];if(void 0===s.index){var l=1-s.y0/t.ya._length,c=t.xa._length,u=c*l/2,f=c-u;return s.x0=Math.max(Math.min(s.x0,f),u),s.x1=Math.max(Math.min(s.x1,f),u),o}var h=s.cd[s.index];s.a=h.a,s.b=h.b,s.xLabelVal=void 0,s.yLabelVal=void 0;var p=s.trace,d=p._carpet,m=p._module.formatLabels(h,p);s.yLabel=m.yLabel,delete s.text;var g=[];if(!p.hovertemplate){var v=(h.hi||p.hoverinfo).split(\"+\");-1!==v.indexOf(\"all\")&&(v=[\"a\",\"b\",\"text\"]),-1!==v.indexOf(\"a\")&&y(d.aaxis,h.a),-1!==v.indexOf(\"b\")&&y(d.baxis,h.b),g.push(\"y: \"+s.yLabel),-1!==v.indexOf(\"text\")&&i(h,p,g),s.extraText=g.join(\"<br>\")}return o}function y(t,e){var r;r=t.labelprefix&&t.labelprefix.length>0?t.labelprefix.replace(/ = $/,\"\"):t._hovertitle,g.push(r+\": \"+e.toFixed(3)+t.labelsuffix)}}},{\"../../lib\":515,\"../scatter/hover\":947}],976:[function(t,e,r){\"use 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s,l,c,u=r[0][0].carpet,f=i.getFromId(t,u.xaxis||\"x\"),h=i.getFromId(t,u.yaxis||\"y\"),p={xaxis:f,yaxis:h,plot:e.plot};for(s=0;s<r.length;s++)(l=r[s][0].trace)._xA=f,l._yA=h;for(n(t,p,r,o),s=0;s<r.length;s++)l=r[s][0].trace,c=o.selectAll(\"g.trace\"+l.uid+\" .js-line\"),a.setClipUrl(c,r[s][0].carpet._clipPathId,t)}},{\"../../components/drawing\":389,\"../../plots/cartesian/axes\":566,\"../scatter/plot\":957}],978:[function(t,e,r){\"use strict\";var n=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../../plots/template_attributes\").texttemplateAttrs,a=t(\"../scatter/attributes\"),o=t(\"../../plots/attributes\"),s=t(\"../../components/colorscale/attributes\"),l=t(\"../../components/drawing/attributes\").dash,c=t(\"../../lib/extend\").extendFlat,u=t(\"../../plot_api/edit_types\").overrideAll,f=a.marker,h=a.line,p=f.line;e.exports=u({lon:{valType:\"data_array\"},lat:{valType:\"data_array\"},locations:{valType:\"data_array\"},locationmode:{valType:\"enumerated\",values:[\"ISO-3\",\"USA-states\",\"country 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M=p.font[r]={};M.size=(s.isTypedArray(f)?f[r]:Array.isArray(f)?n(f[r])?f[r]:0:f)*d,M.family=Array.isArray(h)?h[r]:h}else p.font={size:f*d,family:h};return p}function x(t,e){var r,n,i=e._length,o=e.marker,l={},c=s.isArrayOrTypedArray(o.symbol),f=s.isArrayOrTypedArray(o.angle),d=s.isArrayOrTypedArray(o.color),m=s.isArrayOrTypedArray(o.line.color),g=s.isArrayOrTypedArray(o.opacity),v=s.isArrayOrTypedArray(o.size),y=s.isArrayOrTypedArray(o.line.width);if(c||(n=p.isOpenSymbol(o.symbol)),c||d||m||g||f){l.symbols=new Array(i),l.angles=new Array(i),l.colors=new Array(i),l.borderColors=new Array(i);var x=o.symbol,b=o.angle,_=u(o,o.opacity,i),w=u(o.line,o.opacity,i);if(!Array.isArray(w[0])){var T=w;for(w=Array(i),r=0;r<i;r++)w[r]=T}if(!Array.isArray(_[0])){var k=_;for(_=Array(i),r=0;r<i;r++)_[r]=k}if(!Array.isArray(x)){var A=x;for(x=Array(i),r=0;r<i;r++)x[r]=A}if(!Array.isArray(b)){var M=b;for(b=Array(i),r=0;r<i;r++)b[r]=M}for(l.symbols=x,l.angles=b,l.colors=_,l.borderColors=w,r=0;r<i;r++)c&&(n=p.isOpenSymbol(o.symbol[r])),n&&(w[r]=_[r].slice(),_[r]=_[r].slice(),_[r][3]=0);for(l.opacity=e.opacity,l.markers=new Array(i),r=0;r<i;r++)l.markers[r]=E({mx:l.symbols[r],ma:l.angles[r]},e)}else n?(l.color=a(o.color,\"uint8\"),l.color[3]=0,l.borderColor=a(o.color,\"uint8\")):(l.color=a(o.color,\"uint8\"),l.borderColor=a(o.line.color,\"uint8\")),l.opacity=e.opacity*o.opacity,l.marker=E({mx:o.symbol,ma:o.angle},e);var S,L=h(e,1);if(v||y){var C,P=l.sizes=new Array(i),I=l.borderSizes=new Array(i),O=0;if(v){for(r=0;r<i;r++)P[r]=L(o.size[r]),O+=P[r];C=O/i}else for(S=L(o.size),r=0;r<i;r++)P[r]=S;if(y)for(r=0;r<i;r++)I[r]=o.line.width[r];else for(S=o.line.width,r=0;r<i;r++)I[r]=S;l.sizeAvg=C}else l.size=L(o&&o.size||10),l.borderSizes=L(o.line.width);return l}function b(t,e,r){var n=e.marker,i={};return r?(r.marker&&r.marker.symbol?i=x(0,s.extendFlat({},n,r.marker)):r.marker&&(r.marker.size&&(i.size=r.marker.size),r.marker.color&&(i.colors=r.marker.color),void 0!==r.marker.opacity&&(i.opacity=r.marker.opacity)),i):i}function _(t,e,r){var n={};if(!r)return n;if(r.textfont){var i={opacity:1,text:e.text,texttemplate:e.texttemplate,textposition:e.textposition,textfont:s.extendFlat({},e.textfont)};r.textfont&&s.extendFlat(i.textfont,r.textfont),n=y(t,i)}return n}function w(t,e,r){var n={capSize:2*e.width*r,lineWidth:e.thickness*r,color:e.color};return e.copy_ystyle&&(n=t.error_y),n}var T=d.SYMBOL_SDF_SIZE,k=d.SYMBOL_SIZE,A=d.SYMBOL_STROKE,M={},S=l.symbolFuncs[0](.05*k);function E(t,e){var r,n,a=t.mx;if(\"circle\"===a)return null;var o=l.symbolNumber(a),s=l.symbolFuncs[o%100],c=!!l.symbolNoDot[o%100],u=!!l.symbolNoFill[o%100],f=p.isDotSymbol(a);if(t.ma&&(a+=\"_\"+t.ma),M[a])return M[a];var h=l.getMarkerAngle(t,e);return r=f&&!c?s(1.1*k,h)+S:s(k,h),n=i(r,{w:T,h:T,viewBox:[-k,-k,k,k],stroke:u?A:-A}),M[a]=n,n||null}e.exports={style:function(t,e){var r,n={marker:void 0,markerSel:void 0,markerUnsel:void 0,line:void 0,fill:void 0,errorX:void 0,errorY:void 0,text:void 0,textSel:void 0,textUnsel:void 0},i=t._context.plotGlPixelRatio;if(!0!==e.visible)return n;if(f.hasText(e)&&(n.text=y(t,e),n.textSel=_(t,e,e.selected),n.textUnsel=_(t,e,e.unselected)),f.hasMarkers(e)&&(n.marker=x(t,e),n.markerSel=b(t,e,e.selected),n.markerUnsel=b(t,e,e.unselected),!e.unselected&&s.isArrayOrTypedArray(e.marker.opacity))){var a=e.marker.opacity;for(n.markerUnsel.opacity=new Array(a.length),r=0;r<a.length;r++)n.markerUnsel.opacity[r]=m*a[r]}if(f.hasLines(e)){n.line={overlay:!0,thickness:e.line.width*i,color:e.line.color,opacity:e.opacity};var o=(d.DASHES[e.line.dash]||[1]).slice();for(r=0;r<o.length;++r)o[r]*=e.line.width*i;n.line.dashes=o}return e.error_x&&e.error_x.visible&&(n.errorX=w(e,e.error_x,i)),e.error_y&&e.error_y.visible&&(n.errorY=w(e,e.error_y,i)),e.fill&&\"none\"!==e.fill&&(n.fill={closed:!0,fill:e.fillcolor,thickness:0}),n},markerStyle:x,markerSelection:b,linePositions:function(t,e,r){var n,i,a=r.length,o=a/2;if(f.hasLines(e)&&o)if(\"hv\"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i+2],r[2*i+1]));n.push(r[a-2],r[a-1])}else if(\"hvh\"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var s=(r[2*i]+r[2*i+2])/2;n.push(r[2*i],r[2*i+1],s,r[2*i+1],s,r[2*i+3])}n.push(r[a-2],r[a-1])}else if(\"vhv\"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var l=(r[2*i+1]+r[2*i+3])/2;n.push(r[2*i],r[2*i+1],r[2*i],l,r[2*i+2],l)}n.push(r[a-2],r[a-1])}else if(\"vh\"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+3]));n.push(r[a-2],r[a-1])}else n=r;var c=!1;for(i=0;i<n.length;i++)if(isNaN(n[i])){c=!0;break}var u=c||n.length>d.TOO_MANY_POINTS||f.hasMarkers(e)?\"rect\":\"round\";if(c&&e.connectgaps){var h=n[0],p=n[1];for(i=0;i<n.length;i+=2)isNaN(n[i])||isNaN(n[i+1])?(n[i]=h,n[i+1]=p):(h=n[i],p=n[i+1])}return{join:u,positions:n}},errorBarPositions:function(t,e,r,i,a){var s=o.getComponentMethod(\"errorbars\",\"makeComputeError\"),l=c.getFromId(t,e.xaxis,\"x\"),u=c.getFromId(t,e.yaxis,\"y\"),f=r.length/2,h={};function p(t,i){var a=i._id.charAt(0),o=e[\"error_\"+a];if(o&&o.visible&&(\"linear\"===i.type||\"log\"===i.type)){for(var l=s(o),c={x:0,y:1}[a],u={x:[0,1,2,3],y:[2,3,0,1]}[a],p=new Float64Array(4*f),d=1/0,m=-1/0,g=0,v=0;g<f;g++,v+=4){var y=t[g];if(n(y)){var x=r[2*g+c],b=l(y,g),_=b[0],w=b[1];if(n(_)&&n(w)){var T=y-_,k=y+w;p[v+u[0]]=x-i.c2l(T),p[v+u[1]]=i.c2l(k)-x,p[v+u[2]]=0,p[v+u[3]]=0,d=Math.min(d,y-_),m=Math.max(m,y+w)}}}h[a]={positions:r,errors:p,_bnds:[d,m]}}}return p(i,l),p(a,u),h},textPosition:function(t,e,r,n){var i,a=e._length,o={};if(f.hasMarkers(e)){var s=r.font,l=r.align,c=r.baseline;for(o.offset=new Array(a),i=0;i<a;i++){var u=n.sizes?n.sizes[i]:n.size,h=Array.isArray(s)?s[i].size:s.size,p=Array.isArray(l)?l.length>1?l[i]:l[0]:l,d=Array.isArray(c)?c.length>1?c[i]:c[0]:c,m=g[p],v=g[d],y=u?u/.8+1:0,x=-v*y-.5*v;o.offset[i]=[m*y/h,x/h]}}return o}}},{\"../../components/drawing\":389,\"../../components/fx/helpers\":403,\"../../constants/interactions\":490,\"../../lib\":515,\"../../lib/gl_format_color\":511,\"../../plots/cartesian/axis_ids\":570,\"../../registry\":647,\"../scatter/make_bubble_size_func\":953,\"../scatter/subtypes\":961,\"./constants\":991,\"./helpers\":996,\"color-normalize\":89,\"fast-isnumeric\":190,\"svg-path-sdf\":311}],993:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../registry\"),a=t(\"./helpers\"),o=t(\"./attributes\"),s=t(\"../scatter/constants\"),l=t(\"../scatter/subtypes\"),c=t(\"../scatter/xy_defaults\"),u=t(\"../scatter/period_defaults\"),f=t(\"../scatter/marker_defaults\"),h=t(\"../scatter/line_defaults\"),p=t(\"../scatter/fillcolor_defaults\"),d=t(\"../scatter/text_defaults\");e.exports=function(t,e,r,m){function g(r,i){return n.coerce(t,e,o,r,i)}var v=!!t.marker&&a.isOpenSymbol(t.marker.symbol),y=l.isBubble(t),x=c(t,e,m,g);if(x){u(t,e,m,g),g(\"xhoverformat\"),g(\"yhoverformat\");var b=x<s.PTS_LINESONLY?\"lines+markers\":\"lines\";g(\"text\"),g(\"hovertext\"),g(\"hovertemplate\"),g(\"mode\",b),l.hasLines(e)&&(g(\"connectgaps\"),h(t,e,r,m,g),g(\"line.shape\")),l.hasMarkers(e)&&(f(t,e,r,m,g,{noAngleRef:!0,noStandOff:!0}),g(\"marker.line.width\",v||y?1:0)),l.hasText(e)&&(g(\"texttemplate\"),d(t,e,m,g));var _=(e.line||{}).color,w=(e.marker||{}).color;g(\"fill\"),\"none\"!==e.fill&&p(t,e,r,g);var T=i.getComponentMethod(\"errorbars\",\"supplyDefaults\");T(t,e,_||w||r,{axis:\"y\"}),T(t,e,_||w||r,{axis:\"x\",inherit:\"y\"}),n.coerceSelectionMarkerOpacity(e,g)}else e.visible=!1}},{\"../../lib\":515,\"../../registry\":647,\"../scatter/constants\":940,\"../scatter/fillcolor_defaults\":944,\"../scatter/line_defaults\":949,\"../scatter/marker_defaults\":955,\"../scatter/period_defaults\":956,\"../scatter/subtypes\":961,\"../scatter/text_defaults\":962,\"../scatter/xy_defaults\":963,\"./attributes\":988,\"./helpers\":996}],994:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/color\"),a=t(\"../../constants/interactions\").DESELECTDIM;e.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,c=l._scene,u=l.index,f=c.selectBatch[u],h=c.unselectBatch[u],p=c.textOptions[u],d=c.textSelectedOptions[u]||{},m=c.textUnselectedOptions[u]||{},g=n.extendFlat({},p);if(f.length||h.length){var v=d.color,y=m.color,x=p.color,b=Array.isArray(x);for(g.color=new Array(s._length),e=0;e<f.length;e++)r=f[e],g.color[r]=v||(b?x[r]:x);for(e=0;e<h.length;e++){r=h[e];var _=b?x[r]:x;g.color[r]=y||(v?_:i.addOpacity(_,a))}}c.glText[u].update(g)}}},{\"../../components/color\":367,\"../../constants/interactions\":490,\"../../lib\":515}],995:[function(t,e,r){\"use strict\";var n=t(\"../scatter/format_labels\");e.exports=function(t,e,r){var i=t.i;return\"x\"in t||(t.x=e._x[i]),\"y\"in t||(t.y=e._y[i]),n(t,e,r)}},{\"../scatter/format_labels\":945}],996:[function(t,e,r){\"use strict\";var n=t(\"./constants\");r.isOpenSymbol=function(t){return\"string\"==typeof t?n.OPEN_RE.test(t):t%200>100},r.isDotSymbol=function(t){return\"string\"==typeof t?n.DOT_RE.test(t):t>200}},{\"./constants\":991}],997:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),i=t(\"../../lib\"),a=t(\"../scatter/get_trace_color\");function o(t,e,r,o){var s=t.xa,l=t.ya,c=t.distance,u=t.dxy,f=t.index,h={pointNumber:f,x:e[f],y:r[f]};h.tx=Array.isArray(o.text)?o.text[f]:o.text,h.htx=Array.isArray(o.hovertext)?o.hovertext[f]:o.hovertext,h.data=Array.isArray(o.customdata)?o.customdata[f]:o.customdata,h.tp=Array.isArray(o.textposition)?o.textposition[f]:o.textposition;var p=o.textfont;p&&(h.ts=i.isArrayOrTypedArray(p.size)?p.size[f]:p.size,h.tc=Array.isArray(p.color)?p.color[f]:p.color,h.tf=Array.isArray(p.family)?p.family[f]:p.family);var d=o.marker;d&&(h.ms=i.isArrayOrTypedArray(d.size)?d.size[f]:d.size,h.mo=i.isArrayOrTypedArray(d.opacity)?d.opacity[f]:d.opacity,h.mx=i.isArrayOrTypedArray(d.symbol)?d.symbol[f]:d.symbol,h.ma=i.isArrayOrTypedArray(d.angle)?d.angle[f]:d.angle,h.mc=i.isArrayOrTypedArray(d.color)?d.color[f]:d.color);var m=d&&d.line;m&&(h.mlc=Array.isArray(m.color)?m.color[f]:m.color,h.mlw=i.isArrayOrTypedArray(m.width)?m.width[f]:m.width);var g=d&&d.gradient;g&&\"none\"!==g.type&&(h.mgt=Array.isArray(g.type)?g.type[f]:g.type,h.mgc=Array.isArray(g.color)?g.color[f]:g.color);var v=s.c2p(h.x,!0),y=l.c2p(h.y,!0),x=h.mrc||1,b=o.hoverlabel;b&&(h.hbg=Array.isArray(b.bgcolor)?b.bgcolor[f]:b.bgcolor,h.hbc=Array.isArray(b.bordercolor)?b.bordercolor[f]:b.bordercolor,h.hts=i.isArrayOrTypedArray(b.font.size)?b.font.size[f]:b.font.size,h.htc=Array.isArray(b.font.color)?b.font.color[f]:b.font.color,h.htf=Array.isArray(b.font.family)?b.font.family[f]:b.font.family,h.hnl=i.isArrayOrTypedArray(b.namelength)?b.namelength[f]:b.namelength);var _=o.hoverinfo;_&&(h.hi=Array.isArray(_)?_[f]:_);var w=o.hovertemplate;w&&(h.ht=Array.isArray(w)?w[f]:w);var T={};T[t.index]=h;var k=o._origX,A=o._origY,M=i.extendFlat({},t,{color:a(o,h),x0:v-x,x1:v+x,xLabelVal:k?k[f]:h.x,y0:y-x,y1:y+x,yLabelVal:A?A[f]:h.y,cd:T,distance:c,spikeDistance:u,hovertemplate:h.ht});return h.htx?M.text=h.htx:h.tx?M.text=h.tx:o.text&&(M.text=o.text),i.fillText(h,o,M),n.getComponentMethod(\"errorbars\",\"hoverInfo\")(h,o,M),M}e.exports={hoverPoints:function(t,e,r,n){var i,a,s,l,c,u,f,h,p,d,m=t.cd,g=m[0].t,v=m[0].trace,y=t.xa,x=t.ya,b=g.x,_=g.y,w=y.c2p(e),T=x.c2p(r),k=t.distance;if(g.tree){var A=y.p2c(w-k),M=y.p2c(w+k),S=x.p2c(T-k),E=x.p2c(T+k);i=\"x\"===n?g.tree.range(Math.min(A,M),Math.min(x._rl[0],x._rl[1]),Math.max(A,M),Math.max(x._rl[0],x._rl[1])):g.tree.range(Math.min(A,M),Math.min(S,E),Math.max(A,M),Math.max(S,E))}else i=g.ids;var L=k;if(\"x\"===n){var C=!!v.xperiodalignment,P=!!v.yperiodalignment;for(u=0;u<i.length;u++){if(l=b[a=i[u]],f=Math.abs(y.c2p(l)-w),C){var I=y.c2p(v._xStarts[a]),O=y.c2p(v._xEnds[a]);f=w>=Math.min(I,O)&&w<=Math.max(I,O)?0:1/0}if(f<L){if(L=f,c=_[a],h=x.c2p(c)-T,P){var z=x.c2p(v._yStarts[a]),D=x.c2p(v._yEnds[a]);h=T>=Math.min(z,D)&&T<=Math.max(z,D)?0:1/0}d=Math.sqrt(f*f+h*h),s=i[u]}}}else for(u=i.length-1;u>-1;u--)l=b[a=i[u]],c=_[a],f=y.c2p(l)-w,h=x.c2p(c)-T,(p=Math.sqrt(f*f+h*h))<L&&(L=d=p,s=a);return t.index=s,t.distance=L,t.dxy=d,void 0===s?[t]:[o(t,b,_,v)]},calcHover:o}},{\"../../lib\":515,\"../../registry\":647,\"../scatter/get_trace_color\":946}],998:[function(t,e,r){arguments[4][905][0].apply(r,arguments)},{\"./base_index\":989,\"./plot\":999,dup:905}],999:[function(t,e,r){\"use strict\";var n=t(\"regl-scatter2d\"),i=t(\"regl-line2d\"),a=t(\"regl-error2d\"),o=t(\"gl-text\"),s=t(\"../../lib\"),l=t(\"../../components/dragelement/helpers\").selectMode,c=t(\"../../lib/prepare_regl\"),u=t(\"../scatter/subtypes\"),f=t(\"../scatter/link_traces\"),h=t(\"./edit_style\").styleTextSelection,p={};function d(t,e,r,n){var i=t._size,a=t.width*n,o=t.height*n,s=i.l*n,l=i.b*n,c=i.r*n,u=i.t*n,f=i.w*n,h=i.h*n;return[s+e.domain[0]*f,l+r.domain[0]*h,a-c-(1-e.domain[1])*f,o-u-(1-r.domain[1])*h]}(e.exports=function(t,e,r){if(r.length){var 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A=(y.errorXOptions||[]).concat(y.errorYOptions||[]);y.error2d.update(A)}y.scatter2d&&y.scatter2d.update(y.markerOptions),y.fillOrder=s.repeat(null,_),y.fill2d&&(y.fillOptions=y.fillOptions.map((function(t,e){var n=r[e];if(t&&n&&n[0]&&n[0].trace){var i,a,o=n[0],s=o.trace,l=o.t,c=y.lineOptions[e],u=[];s._ownfill&&u.push(e),s._nexttrace&&u.push(e+1),u.length&&(y.fillOrder[e]=u);var f,h,p=[],d=c&&c.positions||l.positions;if(\"tozeroy\"===s.fill){for(f=0;f<d.length&&isNaN(d[f+1]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h+1]);)h-=2;0!==d[f+1]&&(p=[d[f],0]),p=p.concat(d.slice(f,h+2)),0!==d[h+1]&&(p=p.concat([d[h],0]))}else if(\"tozerox\"===s.fill){for(f=0;f<d.length&&isNaN(d[f]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h]);)h-=2;0!==d[f]&&(p=[0,d[f+1]]),p=p.concat(d.slice(f,h+2)),0!==d[h]&&(p=p.concat([0,d[h+1]]))}else if(\"toself\"===s.fill||\"tonext\"===s.fill){for(p=[],i=0,t.splitNull=!0,a=0;a<d.length;a+=2)(isNaN(d[a])||isNaN(d[a+1]))&&((p=p.concat(d.slice(i,a))).push(d[i],d[i+1]),p.push(null,null),i=a+2);p=p.concat(d.slice(i)),i&&p.push(d[i],d[i+1])}else{var m=s._nexttrace;if(m){var g=y.lineOptions[e+1];if(g){var v=g.positions;if(\"tonexty\"===s.fill){for(p=d.slice(),e=Math.floor(v.length/2);e--;){var x=v[2*e],b=v[2*e+1];isNaN(x)||isNaN(b)||p.push(x,b)}t.fill=m.fillcolor}}}}if(s._prevtrace&&\"tonext\"===s._prevtrace.fill){var _=y.lineOptions[e-1].positions,w=p.length/2,T=[i=w];for(a=0;a<_.length;a+=2)(isNaN(_[a])||isNaN(_[a+1]))&&(T.push(a/2+w+1),i=a+2);p=p.concat(_),t.hole=T}return t.fillmode=s.fill,t.opacity=s.opacity,t.positions=p,t}})),y.fill2d.update(y.fillOptions))}var M=v.dragmode,S=l(M),E=v.clickmode.indexOf(\"select\")>-1;for(m=0;m<_;m++){var L=r[m][0],C=L.trace,P=L.t,I=P.index,O=C._length,z=P.x,D=P.y;if(C.selectedpoints||S||E){if(S||(S=!0),C.selectedpoints){var 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V={viewport:d(v,x,b,t._context.plotGlPixelRatio),range:[(x._rl||x.range)[0],(b._rl||b.range)[0],(x._rl||x.range)[1],(b._rl||b.range)[1]]},H=s.repeat(V,y.count);y.fill2d&&y.fill2d.update(H),y.line2d&&y.line2d.update(H),y.error2d&&y.error2d.update(H.concat(H)),y.scatter2d&&y.scatter2d.update(H),y.select2d&&y.select2d.update(H),y.glText&&y.glText.forEach((function(t){t.update(V)}))}else y.init()}}).reglPrecompiled=p},{\"../../components/dragelement/helpers\":385,\"../../lib\":515,\"../../lib/prepare_regl\":528,\"../scatter/link_traces\":952,\"../scatter/subtypes\":961,\"./edit_style\":994,\"gl-text\":225,\"regl-error2d\":280,\"regl-line2d\":281,\"regl-scatter2d\":282}],1e3:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");e.exports=function(t,e){var r=e._scene,i={count:0,dirty:!0,lineOptions:[],fillOptions:[],markerOptions:[],markerSelectedOptions:[],markerUnselectedOptions:[],errorXOptions:[],errorYOptions:[],textOptions:[],textSelectedOptions:[],textUnselectedOptions:[],selectBatch:[],unselectBatch:[]},a={fill2d:!1,scatter2d:!1,error2d:!1,line2d:!1,glText:!1,select2d:!1};return e._scene||((r=e._scene={}).init=function(){n.extendFlat(r,a,i)},r.init(),r.update=function(t){var e=n.repeat(t,r.count);if(r.fill2d&&r.fill2d.update(e),r.scatter2d&&r.scatter2d.update(e),r.line2d&&r.line2d.update(e),r.error2d&&r.error2d.update(e.concat(e)),r.select2d&&r.select2d.update(e),r.glText)for(var i=0;i<r.count;i++)r.glText[i].update(t)},r.draw=function(){for(var t=r.count,e=r.fill2d,i=r.error2d,a=r.line2d,o=r.scatter2d,s=r.glText,l=r.select2d,c=r.selectBatch,u=r.unselectBatch,f=0;f<t;f++){if(e&&r.fillOrder[f]&&e.draw(r.fillOrder[f]),a&&r.lineOptions[f]&&a.draw(f),i&&(r.errorXOptions[f]&&i.draw(f),r.errorYOptions[f]&&i.draw(f+t)),o&&r.markerOptions[f])if(u[f].length){var h=n.repeat([],r.count);h[f]=u[f],o.draw(h)}else 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r=t.cd,a=t.xaxis,o=t.yaxis,s=[],l=r[0].trace,c=r[0].t,u=l._length,f=c.x,h=c.y,p=c._scene,d=c.index;if(!p)return s;var m=n.hasText(l),g=n.hasMarkers(l),v=!g&&!m;if(!0!==l.visible||v)return s;var y=[],x=[];if(!1!==e&&!e.degenerate)for(var b=0;b<u;b++)e.contains([c.xpx[b],c.ypx[b]],!1,b,t)?(y.push(b),s.push({pointNumber:b,x:a.c2d(f[b]),y:o.c2d(h[b])})):x.push(b);if(g){var _=p.scatter2d;if(y.length||x.length){if(!p.selectBatch[d].length&&!p.unselectBatch[d].length){var w=new Array(p.count);w[d]=p.markerUnselectedOptions[d],_.update.apply(_,w)}}else{var T=new Array(p.count);T[d]=p.markerOptions[d],_.update.apply(_,T)}}return p.selectBatch[d]=y,p.unselectBatch[d]=x,m&&i(r),s}},{\"../scatter/subtypes\":961,\"./edit_style\":994}],1002:[function(t,e,r){\"use strict\";var n=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../../plots/template_attributes\").texttemplateAttrs,a=t(\"../scattergeo/attributes\"),o=t(\"../scatter/attributes\"),s=t(\"../../plots/mapbox/layout_attributes\"),l=t(\"../../plots/attributes\"),c=t(\"../../components/colorscale/attributes\"),u=t(\"../../lib/extend\").extendFlat,f=t(\"../../plot_api/edit_types\").overrideAll,h=t(\"../../plots/mapbox/layout_attributes\"),p=a.line,d=a.marker;e.exports=f({lon:a.lon,lat:a.lat,cluster:{enabled:{valType:\"boolean\"},maxzoom:u({},h.layers.maxzoom,{}),step:{valType:\"number\",arrayOk:!0,dflt:-1,min:-1},size:{valType:\"number\",arrayOk:!0,dflt:20,min:0},color:{valType:\"color\",arrayOk:!0},opacity:u({},d.opacity,{dflt:1})},mode:u({},o.mode,{dflt:\"markers\"}),text:u({},o.text,{}),texttemplate:i({editType:\"plot\"},{keys:[\"lat\",\"lon\",\"text\"]}),hovertext:u({},o.hovertext,{}),line:{color:p.color,width:p.width},connectgaps:o.connectgaps,marker:u({symbol:{valType:\"string\",dflt:\"circle\",arrayOk:!0},angle:{valType:\"number\",dflt:\"auto\",arrayOk:!0},allowoverlap:{valType:\"boolean\",dflt:!1},opacity:d.opacity,size:d.size,sizeref:d.sizeref,sizemin:d.sizemin,sizemode:d.sizemode},c(\"marker\")),fill:a.fill,fillcolor:o.fillcolor,textfont:s.layers.symbol.textfont,textposition:s.layers.symbol.textposition,below:{valType:\"string\"},selected:{marker:o.selected.marker},unselected:{marker:o.unselected.marker},hoverinfo:u({},l.hoverinfo,{flags:[\"lon\",\"lat\",\"text\",\"name\"]}),hovertemplate:n()},\"calc\",\"nested\")},{\"../../components/colorscale/attributes\":374,\"../../lib/extend\":505,\"../../plot_api/edit_types\":548,\"../../plots/attributes\":562,\"../../plots/mapbox/layout_attributes\":624,\"../../plots/template_attributes\":642,\"../scatter/attributes\":936,\"../scattergeo/attributes\":978}],1003:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib\"),a=t(\"../../constants/numerical\").BADNUM,o=t(\"../../lib/geojson_utils\"),s=t(\"../../components/colorscale\"),l=t(\"../../components/drawing\"),c=t(\"../scatter/make_bubble_size_func\"),u=t(\"../scatter/subtypes\"),f=t(\"../../plots/mapbox/convert_text_opts\"),h=t(\"../../components/fx/helpers\").appendArrayPointValue,p=t(\"../../lib/svg_text_utils\").NEWLINES,d=t(\"../../lib/svg_text_utils\").BR_TAG_ALL;function m(t){return{type:t,geojson:o.makeBlank(),layout:{visibility:\"none\"},filter:null,paint:{}}}function g(t,e){return i.isArrayOrTypedArray(t)?e?function(e){return n(t[e])?+t[e]:0}:function(e){return t[e]}:t?function(){return t}:v}function v(){return\"\"}function y(t){return t[0]===a}function x(t,e){var r;if(i.isArrayOrTypedArray(t)&&i.isArrayOrTypedArray(e)){r=[\"step\",[\"get\",\"point_count\"],t[0]];for(var n=1;n<t.length;n++)r.push(e[n-1],t[n])}else r=t;return r}e.exports=function(t,e){var r,a=e[0].trace,b=!0===a.visible&&0!==a._length,_=\"none\"!==a.fill,w=u.hasLines(a),T=u.hasMarkers(a),k=u.hasText(a),A=T&&\"circle\"===a.marker.symbol,M=T&&\"circle\"!==a.marker.symbol,S=a.cluster&&a.cluster.enabled,E=m(\"fill\"),L=m(\"line\"),C=m(\"circle\"),P=m(\"symbol\"),I={fill:E,line:L,circle:C,symbol:P};if(!b)return I;if((_||w)&&(r=o.calcTraceToLineCoords(e)),_&&(E.geojson=o.makePolygon(r),E.layout.visibility=\"visible\",i.extendFlat(E.paint,{\"fill-color\":a.fillcolor})),w&&(L.geojson=o.makeLine(r),L.layout.visibility=\"visible\",i.extendFlat(L.paint,{\"line-width\":a.line.width,\"line-color\":a.line.color,\"line-opacity\":a.opacity})),A){var O=function(t){var e,r,a,o,u=t[0].trace,f=u.marker,h=u.selectedpoints,p=i.isArrayOrTypedArray(f.color),d=i.isArrayOrTypedArray(f.size),m=i.isArrayOrTypedArray(f.opacity);function g(t){return u.opacity*t}p&&(r=s.hasColorscale(u,\"marker\")?s.makeColorScaleFuncFromTrace(f):i.identity);d&&(a=c(u));m&&(o=function(t){return g(n(t)?+i.constrain(t,0,1):0)});var v,x=[];for(e=0;e<t.length;e++){var b=t[e],_=b.lonlat;if(!y(_)){var w={};r&&(w.mcc=b.mcc=r(b.mc)),a&&(w.mrc=b.mrc=a(b.ms)),o&&(w.mo=o(b.mo)),h&&(w.selected=b.selected||0),x.push({type:\"Feature\",id:e+1,geometry:{type:\"Point\",coordinates:_},properties:w})}}if(h)for(v=l.makeSelectedPointStyleFns(u),e=0;e<x.length;e++){var T=x[e].properties;v.selectedOpacityFn&&(T.mo=g(v.selectedOpacityFn(T))),v.selectedColorFn&&(T.mcc=v.selectedColorFn(T)),v.selectedSizeFn&&(T.mrc=v.selectedSizeFn(T))}return{geojson:{type:\"FeatureCollection\",features:x},mcc:p||v&&v.selectedColorFn?{type:\"identity\",property:\"mcc\"}:f.color,mrc:d||v&&v.selectedSizeFn?{type:\"identity\",property:\"mrc\"}:(k=f.size,k/2),mo:m||v&&v.selectedOpacityFn?{type:\"identity\",property:\"mo\"}:g(f.opacity)};var k}(e);C.geojson=O.geojson,C.layout.visibility=\"visible\",S&&(C.filter=[\"!\",[\"has\",\"point_count\"]],I.cluster={type:\"circle\",filter:[\"has\",\"point_count\"],layout:{visibility:\"visible\"},paint:{\"circle-color\":x(a.cluster.color,a.cluster.step),\"circle-radius\":x(a.cluster.size,a.cluster.step),\"circle-opacity\":x(a.cluster.opacity,a.cluster.step)}},I.clusterCount={type:\"symbol\",filter:[\"has\",\"point_count\"],paint:{},layout:{\"text-field\":\"{point_count_abbreviated}\",\"text-font\":[\"Open Sans Regular\",\"Arial Unicode MS Regular\"],\"text-size\":12}}),i.extendFlat(C.paint,{\"circle-color\":O.mcc,\"circle-radius\":O.mrc,\"circle-opacity\":O.mo})}if(A&&S&&(C.filter=[\"!\",[\"has\",\"point_count\"]]),(M||k)&&(P.geojson=function(t,e){for(var r=e._fullLayout,n=t[0].trace,a=n.marker||{},o=a.symbol,s=a.angle,l=\"circle\"!==o?g(o):v,c=\"auto\"!==s?g(s,!0):v,f=u.hasText(n)?g(n.text):v,m=[],x=0;x<t.length;x++){var b=t[x];if(!y(b.lonlat)){var _,w=n.texttemplate;if(w){var T=Array.isArray(w)?w[x]||\"\":w,k=n._module.formatLabels(b,n,r),A={};h(A,n,b.i);var M=n._meta||{};_=i.texttemplateString(T,k,r._d3locale,A,b,M)}else _=f(x);_&&(_=_.replace(p,\"\").replace(d,\"\\n\")),m.push({type:\"Feature\",geometry:{type:\"Point\",coordinates:b.lonlat},properties:{symbol:l(x),angle:c(x),text:_}})}}return{type:\"FeatureCollection\",features:m}}(e,t),i.extendFlat(P.layout,{visibility:\"visible\",\"icon-image\":\"{symbol}-15\",\"text-field\":\"{text}\"}),M&&(i.extendFlat(P.layout,{\"icon-size\":a.marker.size/10}),\"angle\"in a.marker&&\"auto\"!==a.marker.angle&&i.extendFlat(P.layout,{\"icon-rotate\":{type:\"identity\",property:\"angle\"},\"icon-rotation-alignment\":\"map\"}),P.layout[\"icon-allow-overlap\"]=a.marker.allowoverlap,i.extendFlat(P.paint,{\"icon-opacity\":a.opacity*a.marker.opacity,\"icon-color\":a.marker.color})),k)){var z=(a.marker||{}).size,D=f(a.textposition,z);i.extendFlat(P.layout,{\"text-size\":a.textfont.size,\"text-anchor\":D.anchor,\"text-offset\":D.offset}),i.extendFlat(P.paint,{\"text-color\":a.textfont.color,\"text-opacity\":a.opacity})}return I}},{\"../../components/colorscale\":379,\"../../components/drawing\":389,\"../../components/fx/helpers\":403,\"../../constants/numerical\":491,\"../../lib\":515,\"../../lib/geojson_utils\":509,\"../../lib/svg_text_utils\":541,\"../../plots/mapbox/convert_text_opts\":621,\"../scatter/make_bubble_size_func\":953,\"../scatter/subtypes\":961,\"fast-isnumeric\":190}],1004:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../scatter/subtypes\"),a=t(\"../scatter/marker_defaults\"),o=t(\"../scatter/line_defaults\"),s=t(\"../scatter/text_defaults\"),l=t(\"../scatter/fillcolor_defaults\"),c=t(\"./attributes\");e.exports=function(t,e,r,u){function f(r,i){return n.coerce(t,e,c,r,i)}function h(r,i){return n.coerce2(t,e,c,r,i)}if(function(t,e,r){var 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A={};u.label&&(A.label=u.label),u.hasOwnProperty(\"v\")&&(A.value=u.v,A.valueLabel=b.formatValue(u.v,l)),A.currentPath=b.getPath(t.data),h||(A.percentParent=d/b.getValue(p),A.percentParentLabel=b.formatPercent(A.percentParent,l),A.parent=b.getPtLabel(p)),A.percentEntry=d/b.getValue(e),A.percentEntryLabel=b.formatPercent(A.percentEntry,l),A.entry=b.getPtLabel(e),A.percentRoot=d/b.getValue(f),A.percentRootLabel=b.formatPercent(A.percentRoot,l),A.root=b.getPtLabel(f),u.hasOwnProperty(\"color\")&&(A.color=u.color);var M=s.castOption(r,u.i,\"text\");return(s.isValidTextValue(M)||\"\"===M)&&(A.text=M),A.customdata=s.castOption(r,u.i,\"customdata\"),s.texttemplateString(k,A,i._d3locale,A,r._meta||{})}},{\"../../components/drawing\":389,\"../../lib\":515,\"../../lib/svg_text_utils\":541,\"../bar/style\":671,\"../bar/uniform_text\":673,\"../pie/helpers\":915,\"../pie/plot\":919,\"./constants\":1061,\"./fx\":1063,\"./helpers\":1064,\"./style\":1069,\"@plotly/d3\":58,\"d3-hierarchy\":115,\"d3-interpolate\":116}],1069:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../components/color\"),a=t(\"../../lib\"),o=t(\"../bar/uniform_text\").resizeText;function s(t,e,r){var n=e.data.data,o=!e.children,s=n.i,l=a.castOption(r,s,\"marker.line.color\")||i.defaultLine,c=a.castOption(r,s,\"marker.line.width\")||0;t.style(\"stroke-width\",c).call(i.fill,n.color).call(i.stroke,l).style(\"opacity\",o?r.leaf.opacity:null)}e.exports={style:function(t){var e=t._fullLayout._sunburstlayer.selectAll(\".trace\");o(t,e,\"sunburst\"),e.each((function(t){var e=n.select(this),r=t[0].trace;e.style(\"opacity\",r.opacity),e.selectAll(\"path.surface\").each((function(t){n.select(this).call(s,t,r)}))}))},styleOne:s}},{\"../../components/color\":367,\"../../lib\":515,\"../bar/uniform_text\":673,\"@plotly/d3\":58}],1070:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),i=t(\"../../components/colorscale/attributes\"),a=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,o=t(\"../../plots/template_attributes\").hovertemplateAttrs,s=t(\"../../plots/attributes\"),l=t(\"../../lib/extend\").extendFlat,c=t(\"../../plot_api/edit_types\").overrideAll;function u(t){return{show:{valType:\"boolean\",dflt:!1},start:{valType:\"number\",dflt:null,editType:\"plot\"},end:{valType:\"number\",dflt:null,editType:\"plot\"},size:{valType:\"number\",dflt:null,min:0,editType:\"plot\"},project:{x:{valType:\"boolean\",dflt:!1},y:{valType:\"boolean\",dflt:!1},z:{valType:\"boolean\",dflt:!1}},color:{valType:\"color\",dflt:n.defaultLine},usecolormap:{valType:\"boolean\",dflt:!1},width:{valType:\"number\",min:1,max:16,dflt:2},highlight:{valType:\"boolean\",dflt:!0},highlightcolor:{valType:\"color\",dflt:n.defaultLine},highlightwidth:{valType:\"number\",min:1,max:16,dflt:2}}}var f=e.exports=c(l({z:{valType:\"data_array\"},x:{valType:\"data_array\"},y:{valType:\"data_array\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:o(),xhoverformat:a(\"x\"),yhoverformat:a(\"y\"),zhoverformat:a(\"z\"),connectgaps:{valType:\"boolean\",dflt:!1,editType:\"calc\"},surfacecolor:{valType:\"data_array\"}},i(\"\",{colorAttr:\"z or surfacecolor\",showScaleDflt:!0,autoColorDflt:!1,editTypeOverride:\"calc\"}),{contours:{x:u(),y:u(),z:u()},hidesurface:{valType:\"boolean\",dflt:!1},lightposition:{x:{valType:\"number\",min:-1e5,max:1e5,dflt:10},y:{valType:\"number\",min:-1e5,max:1e5,dflt:1e4},z:{valType:\"number\",min:-1e5,max:1e5,dflt:0}},lighting:{ambient:{valType:\"number\",min:0,max:1,dflt:.8},diffuse:{valType:\"number\",min:0,max:1,dflt:.8},specular:{valType:\"number\",min:0,max:2,dflt:.05},roughness:{valType:\"number\",min:0,max:1,dflt:.5},fresnel:{valType:\"number\",min:0,max:5,dflt:.2}},opacity:{valType:\"number\",min:0,max:1,dflt:1},opacityscale:{valType:\"any\",editType:\"calc\"},_deprecated:{zauto:l({},i.zauto,{}),zmin:l({},i.zmin,{}),zmax:l({},i.zmax,{})},hoverinfo:l({},s.hoverinfo),showlegend:l({},s.showlegend,{dflt:!1})}),\"calc\",\"nested\");f.x.editType=f.y.editType=f.z.editType=\"calc+clearAxisTypes\",f.transforms=void 0},{\"../../components/color\":367,\"../../components/colorscale/attributes\":374,\"../../lib/extend\":505,\"../../plot_api/edit_types\":548,\"../../plots/attributes\":562,\"../../plots/cartesian/axis_format_attributes\":569,\"../../plots/template_attributes\":642}],1071:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/calc\");e.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:\"\",cLetter:\"c\"}):n(t,e,{vals:e.z,containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":375}],1072:[function(t,e,r){\"use strict\";var n=t(\"../../../stackgl_modules\").gl_surface3d,i=t(\"../../../stackgl_modules\").ndarray,a=t(\"../../../stackgl_modules\").ndarray_linear_interpolate.d2,o=t(\"../heatmap/interp2d\"),s=t(\"../heatmap/find_empties\"),l=t(\"../../lib\").isArrayOrTypedArray,c=t(\"../../lib/gl_format_color\").parseColorScale,u=t(\"../../lib/str2rgbarray\"),f=t(\"../../components/colorscale\").extractOpts;function h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?i:n.d2l(i,0,r)},p.getZat=function(t,e,r,n){var i=this.data.z[e][t];return null===i&&this.data.connectgaps&&this.data._interpolatedZ&&(i=this.data._interpolatedZ[e][t]),void 0===r?i:n.d2l(i,0,r)},p.handlePick=function(t){if(t.object===this.surface){var e=(t.data.index[0]-1)/this.dataScaleX-1,r=(t.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(e),this.data.z[0].length-1),0),i=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);t.index=[n,i],t.traceCoordinate=[this.getXat(n,i),this.getYat(n,i),this.getZat(n,i)],t.dataCoordinate=[this.getXat(n,i,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,i,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,i,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var a=0;a<3;a++){var o=t.dataCoordinate[a];null!=o&&(t.dataCoordinate[a]*=this.scene.dataScale[a])}var s=this.data.hovertext||this.data.text;return Array.isArray(s)&&s[i]&&void 0!==s[i][n]?t.textLabel=s[i][n]:t.textLabel=s||\"\",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var d=[2,3,5,7,11,13,17,19,23,29,31,37,41,43,47,53,59,61,67,71,73,79,83,89,97,101,103,107,109,113,127,131,137,139,149,151,157,163,167,173,179,181,191,193,197,199,211,223,227,229,233,239,241,251,257,263,269,271,277,281,283,293,307,311,313,317,331,337,347,349,353,359,367,373,379,383,389,397,401,409,419,421,431,433,439,443,449,457,461,463,467,479,487,491,499,503,509,521,523,541,547,557,563,569,571,577,587,593,599,601,607,613,617,619,631,641,643,647,653,659,661,673,677,683,691,701,709,719,727,733,739,743,751,757,761,769,773,787,797,809,811,821,823,827,829,839,853,857,859,863,877,881,883,887,907,911,919,929,937,941,947,953,967,971,977,983,991,997,1009,1013,1019,1021,1031,1033,1039,1049,1051,1061,1063,1069,1087,1091,1093,1097,1103,1109,1117,1123,1129,1151,1153,1163,1171,1181,1187,1193,1201,1213,1217,1223,1229,1231,1237,1249,1259,1277,1279,1283,1289,1291,1297,1301,1303,1307,1319,1321,1327,1361,1367,1373,1381,1399,1409,1423,1427,1429,1433,1439,1447,1451,1453,1459,1471,1481,1483,1487,1489,1493,1499,1511,1523,1531,1543,1549,1553,1559,1567,1571,1579,1583,1597,1601,1607,1609,1613,1619,1621,1627,1637,1657,1663,1667,1669,1693,1697,1699,1709,1721,1723,1733,1741,1747,1753,1759,1777,1783,1787,1789,1801,1811,1823,1831,1847,1861,1867,1871,1873,1877,1879,1889,1901,1907,1913,1931,1933,1949,1951,1973,1979,1987,1993,1997,1999,2003,2011,2017,2027,2029,2039,2053,2063,2069,2081,2083,2087,2089,2099,2111,2113,2129,2131,2137,2141,2143,2153,2161,2179,2203,2207,2213,2221,2237,2239,2243,2251,2267,2269,2273,2281,2287,2293,2297,2309,2311,2333,2339,2341,2347,2351,2357,2371,2377,2381,2383,2389,2393,2399,2411,2417,2423,2437,2441,2447,2459,2467,2473,2477,2503,2521,2531,2539,2543,2549,2551,2557,2579,2591,2593,2609,2617,2621,2633,2647,2657,2659,2663,2671,2677,2683,2687,2689,2693,2699,2707,2711,2713,2719,2729,2731,2741,2749,2753,2767,2777,2789,2791,2797,2801,2803,2819,2833,2837,2843,2851,2857,2861,2879,2887,2897,2903,2909,2917,2927,2939,2953,2957,2963,2969,2971,2999];function m(t,e){if(t<e)return 0;for(var r=0;0===Math.floor(t%e);)t/=e,r++;return r}function g(t){for(var e=[],r=0;r<d.length;r++){var n=d[r];e.push(m(t,n))}return e}function v(t){for(var e=g(t),r=t,n=0;n<d.length;n++)if(e[n]>0){r=d[n];break}return r}function y(t,e){if(!(t<1||e<1)){for(var r=g(t),n=g(e),i=1,a=0;a<d.length;a++)i*=Math.pow(d[a],Math.max(r[a],n[a]));return i}}p.calcXnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getXat(e-1,0),i=this.getXat(e,0);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r},p.calcYnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getYat(0,e-1),i=this.getYat(0,e);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r};var x=[1,2,4,6,12,24,36,48,60,120,180,240,360,720,840,1260],b=x[9],_=x[13];function w(t,e,r){var n=r[8]+r[2]*e[0]+r[5]*e[1];return t[0]=(r[6]+r[0]*e[0]+r[3]*e[1])/n,t[1]=(r[7]+r[1]*e[0]+r[4]*e[1])/n,t}function T(t,e,r){return function(t,e,r,n){for(var i=[0,0],o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var c=0;c<s;c++)r(i,[l,c],n),t.set(l,c,a(e,i[0],i[1]))}(t,e,w,r),t}function k(t,e){for(var r=!1,n=0;n<t.length;n++)if(e===t[n]){r=!0;break}!1===r&&t.push(e)}p.estimateScale=function(t,e){for(var r=1+function(t){if(0!==t.length){for(var e=1,r=0;r<t.length;r++)e=y(e,t[r]);return e}}(0===e?this.calcXnums(t):this.calcYnums(t));r<b;)r*=2;for(;r>_;)r--,r/=v(r),++r<b&&(r=_);var n=Math.round(r/t);return n>1?n:1},p.refineCoords=function(t){for(var e=this.dataScaleX,r=this.dataScaleY,n=t[0].shape[0],a=t[0].shape[1],o=0|Math.floor(t[0].shape[0]*e+1),s=0|Math.floor(t[0].shape[1]*r+1),l=1+n+1,c=1+a+1,u=i(new Float32Array(l*c),[l,c]),f=[1/e,0,0,0,1/r,0,0,0,1],h=0;h<t.length;++h){this.surface.padField(u,t[h]);var p=i(new Float32Array(o*s),[o,s]);T(p,u,f),t[h]=p}},p.setContourLevels=function(){var t,e,r,n=[[],[],[]],i=[!1,!1,!1],a=!1;for(t=0;t<3;++t)if(this.showContour[t]&&(a=!0,this.contourSize[t]>0&&null!==this.contourStart[t]&&null!==this.contourEnd[t]&&this.contourEnd[t]>this.contourStart[t]))for(i[t]=!0,e=this.contourStart[t];e<this.contourEnd[t];e+=this.contourSize[t])r=e*this.scene.dataScale[t],k(n[t],r);if(a){var o=[[],[],[]];for(t=0;t<3;++t)this.showContour[t]&&(o[t]=i[t]?n[t]:this.scene.contourLevels[t]);this.surface.update({levels:o})}},p.update=function(t){var e,r,n,a,l=this.scene,h=l.fullSceneLayout,p=this.surface,d=c(t),m=l.dataScale,g=t.z[0].length,v=t._ylength,y=l.contourLevels;this.data=t;var x=[];for(e=0;e<3;e++)for(x[e]=[],r=0;r<g;r++)x[e][r]=[];for(r=0;r<g;r++)for(n=0;n<v;n++)x[0][r][n]=this.getXat(r,n,t.xcalendar,h.xaxis),x[1][r][n]=this.getYat(r,n,t.ycalendar,h.yaxis),x[2][r][n]=this.getZat(r,n,t.zcalendar,h.zaxis);if(t.connectgaps)for(t._emptypoints=s(x[2]),o(x[2],t._emptypoints),t._interpolatedZ=[],r=0;r<g;r++)for(t._interpolatedZ[r]=[],n=0;n<v;n++)t._interpolatedZ[r][n]=x[2][r][n];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<v;n++)null==(a=x[e][r][n])?x[e][r][n]=NaN:a=x[e][r][n]*=m[e];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<v;n++)null!=(a=x[e][r][n])&&(this.minValues[e]>a&&(this.minValues[e]=a),this.maxValues[e]<a&&(this.maxValues[e]=a));for(e=0;e<3;e++)this.objectOffset[e]=.5*(this.minValues[e]+this.maxValues[e]);for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<v;n++)null!=(a=x[e][r][n])&&(x[e][r][n]-=this.objectOffset[e]);var b=[i(new Float32Array(g*v),[g,v]),i(new Float32Array(g*v),[g,v]),i(new Float32Array(g*v),[g,v])];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<v;n++)b[e].set(r,n,x[e][r][n]);x=[];var w={colormap:d,levels:[[],[],[]],showContour:[!0,!0,!0],showSurface:!t.hidesurface,contourProject:[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],contourWidth:[1,1,1],contourColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],contourTint:[1,1,1],dynamicColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],dynamicWidth:[1,1,1],dynamicTint:[1,1,1],opacityscale:t.opacityscale,opacity:t.opacity},T=f(t);if(w.intensityBounds=[T.min,T.max],t.surfacecolor){var k=i(new Float32Array(g*v),[g,v]);for(r=0;r<g;r++)for(n=0;n<v;n++)k.set(r,n,t.surfacecolor[n][r]);b.push(k)}else w.intensityBounds[0]*=m[2],w.intensityBounds[1]*=m[2];(_<b[0].shape[0]||_<b[0].shape[1])&&(this.refineData=!1),!0===this.refineData&&(this.dataScaleX=this.estimateScale(b[0].shape[0],0),this.dataScaleY=this.estimateScale(b[0].shape[1],1),1===this.dataScaleX&&1===this.dataScaleY||this.refineCoords(b)),t.surfacecolor&&(w.intensity=b.pop());var A=[!0,!0,!0],M=[\"x\",\"y\",\"z\"];for(e=0;e<3;++e){var S=t.contours[M[e]];A[e]=S.highlight,w.showContour[e]=S.show||S.highlight,w.showContour[e]&&(w.contourProject[e]=[S.project.x,S.project.y,S.project.z],S.show?(this.showContour[e]=!0,w.levels[e]=y[e],p.highlightColor[e]=w.contourColor[e]=u(S.color),S.usecolormap?p.highlightTint[e]=w.contourTint[e]=0:p.highlightTint[e]=w.contourTint[e]=1,w.contourWidth[e]=S.width,this.contourStart[e]=S.start,this.contourEnd[e]=S.end,this.contourSize[e]=S.size):(this.showContour[e]=!1,this.contourStart[e]=null,this.contourEnd[e]=null,this.contourSize[e]=0),S.highlight&&(w.dynamicColor[e]=u(S.highlightcolor),w.dynamicWidth[e]=S.highlightwidth))}(function(t){var e=t[0].rgb,r=t[t.length-1].rgb;return e[0]===r[0]&&e[1]===r[1]&&e[2]===r[2]&&e[3]===r[3]})(d)&&(w.vertexColor=!0),w.objectOffset=this.objectOffset,w.coords=b,p.update(w),p.visible=t.visible,p.enableDynamic=A,p.enableHighlight=A,p.snapToData=!0,\"lighting\"in t&&(p.ambientLight=t.lighting.ambient,p.diffuseLight=t.lighting.diffuse,p.specularLight=t.lighting.specular,p.roughness=t.lighting.roughness,p.fresnel=t.lighting.fresnel),\"lightposition\"in t&&(p.lightPosition=[t.lightposition.x,t.lightposition.y,t.lightposition.z])},p.dispose=function(){this.scene.glplot.remove(this.surface),this.surface.dispose()},e.exports=function(t,e){var r=t.glplot.gl,i=n({gl:r}),a=new h(t,i,e.uid);return i._trace=a,a.update(e),t.glplot.add(i),a}},{\"../../../stackgl_modules\":1133,\"../../components/colorscale\":379,\"../../lib\":515,\"../../lib/gl_format_color\":511,\"../../lib/str2rgbarray\":540,\"../heatmap/find_empties\":807,\"../heatmap/interp2d\":810}],1073:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),i=t(\"../../lib\"),a=t(\"../../components/colorscale/defaults\"),o=t(\"./attributes\");function s(t,e,r,n){var 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this._expand(r+1),this.words[r]=e?this.words[r]|1<<i:this.words[r]&~(1<<i),this.strip()},a.prototype.iadd=function(t){var e,r,n;if(0!==this.negative&&0===t.negative)return this.negative=0,e=this.isub(t),this.negative^=1,this._normSign();if(0===this.negative&&0!==t.negative)return t.negative=0,e=this.isub(t),t.negative=1,e._normSign();this.length>t.length?(r=this,n=t):(r=t,n=this);for(var i=0,a=0;a<n.length;a++)e=(0|r.words[a])+(0|n.words[a])+i,this.words[a]=67108863&e,i=e>>>26;for(;0!==i&&a<r.length;a++)e=(0|r.words[a])+i,this.words[a]=67108863&e,i=e>>>26;if(this.length=r.length,0!==i)this.words[this.length]=i,this.length++;else if(r!==this)for(;a<r.length;a++)this.words[a]=r.words[a];return this},a.prototype.add=function(t){var e;return 0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var a=0,o=0;o<n.length;o++)a=(e=(0|r.words[o])-(0|n.words[o])+a)>>26,this.words[o]=67108863&e;for(;0!==a&&o<r.length;o++)a=(e=(0|r.words[o])+a)>>26,this.words[o]=67108863&e;if(0===a&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},a.prototype.sub=function(t){return this.clone().isub(t)};var d=function(t,e,r){var n,i,a,o=t.words,s=e.words,l=r.words,c=0,u=0|o[0],f=8191&u,h=u>>>13,p=0|o[1],d=8191&p,m=p>>>13,g=0|o[2],v=8191&g,y=g>>>13,x=0|o[3],b=8191&x,_=x>>>13,w=0|o[4],T=8191&w,k=w>>>13,A=0|o[5],M=8191&A,S=A>>>13,E=0|o[6],L=8191&E,C=E>>>13,P=0|o[7],I=8191&P,O=P>>>13,z=0|o[8],D=8191&z,R=z>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],U=8191&j,V=j>>>13,H=0|s[1],q=8191&H,G=H>>>13,Y=0|s[2],W=8191&Y,Z=Y>>>13,X=0|s[3],J=8191&X,K=X>>>13,Q=0|s[4],$=8191&Q,tt=Q>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,it=0|s[6],at=8191&it,ot=it>>>13,st=0|s[7],lt=8191&st,ct=st>>>13,ut=0|s[8],ft=8191&ut,ht=ut>>>13,pt=0|s[9],dt=8191&pt,mt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var gt=(c+(n=Math.imul(f,U))|0)+((8191&(i=(i=Math.imul(f,V))+Math.imul(h,U)|0))<<13)|0;c=((a=Math.imul(h,V))+(i>>>13)|0)+(gt>>>26)|0,gt&=67108863,n=Math.imul(d,U),i=(i=Math.imul(d,V))+Math.imul(m,U)|0,a=Math.imul(m,V);var vt=(c+(n=n+Math.imul(f,q)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,q)|0))<<13)|0;c=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(vt>>>26)|0,vt&=67108863,n=Math.imul(v,U),i=(i=Math.imul(v,V))+Math.imul(y,U)|0,a=Math.imul(y,V),n=n+Math.imul(d,q)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(m,q)|0,a=a+Math.imul(m,G)|0;var yt=(c+(n=n+Math.imul(f,W)|0)|0)+((8191&(i=(i=i+Math.imul(f,Z)|0)+Math.imul(h,W)|0))<<13)|0;c=((a=a+Math.imul(h,Z)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(v,q)|0,i=(i=i+Math.imul(v,G)|0)+Math.imul(y,q)|0,a=a+Math.imul(y,G)|0,n=n+Math.imul(d,W)|0,i=(i=i+Math.imul(d,Z)|0)+Math.imul(m,W)|0,a=a+Math.imul(m,Z)|0;var xt=(c+(n=n+Math.imul(f,J)|0)|0)+((8191&(i=(i=i+Math.imul(f,K)|0)+Math.imul(h,J)|0))<<13)|0;c=((a=a+Math.imul(h,K)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(b,q)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,q)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(v,W)|0,i=(i=i+Math.imul(v,Z)|0)+Math.imul(y,W)|0,a=a+Math.imul(y,Z)|0,n=n+Math.imul(d,J)|0,i=(i=i+Math.imul(d,K)|0)+Math.imul(m,J)|0,a=a+Math.imul(m,K)|0;var bt=(c+(n=n+Math.imul(f,$)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,$)|0))<<13)|0;c=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,q)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,q)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,W)|0,i=(i=i+Math.imul(b,Z)|0)+Math.imul(_,W)|0,a=a+Math.imul(_,Z)|0,n=n+Math.imul(v,J)|0,i=(i=i+Math.imul(v,K)|0)+Math.imul(y,J)|0,a=a+Math.imul(y,K)|0,n=n+Math.imul(d,$)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(m,$)|0,a=a+Math.imul(m,tt)|0;var _t=(c+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;c=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=(i=Math.imul(L,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(M,q)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,q)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,W)|0,i=(i=i+Math.imul(T,Z)|0)+Math.imul(k,W)|0,a=a+Math.imul(k,Z)|0,n=n+Math.imul(b,J)|0,i=(i=i+Math.imul(b,K)|0)+Math.imul(_,J)|0,a=a+Math.imul(_,K)|0,n=n+Math.imul(v,$)|0,i=(i=i+Math.imul(v,tt)|0)+Math.imul(y,$)|0,a=a+Math.imul(y,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0;var wt=(c+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;c=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(I,U),i=(i=Math.imul(I,V))+Math.imul(O,U)|0,a=Math.imul(O,V),n=n+Math.imul(L,q)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,q)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,W)|0,i=(i=i+Math.imul(M,Z)|0)+Math.imul(S,W)|0,a=a+Math.imul(S,Z)|0,n=n+Math.imul(T,J)|0,i=(i=i+Math.imul(T,K)|0)+Math.imul(k,J)|0,a=a+Math.imul(k,K)|0,n=n+Math.imul(b,$)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,$)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(v,rt)|0,i=(i=i+Math.imul(v,nt)|0)+Math.imul(y,rt)|0,a=a+Math.imul(y,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0;var Tt=(c+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ct)|0)+Math.imul(h,lt)|0))<<13)|0;c=((a=a+Math.imul(h,ct)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(D,U),i=(i=Math.imul(D,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(I,q)|0,i=(i=i+Math.imul(I,G)|0)+Math.imul(O,q)|0,a=a+Math.imul(O,G)|0,n=n+Math.imul(L,W)|0,i=(i=i+Math.imul(L,Z)|0)+Math.imul(C,W)|0,a=a+Math.imul(C,Z)|0,n=n+Math.imul(M,J)|0,i=(i=i+Math.imul(M,K)|0)+Math.imul(S,J)|0,a=a+Math.imul(S,K)|0,n=n+Math.imul(T,$)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,$)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(v,at)|0,i=(i=i+Math.imul(v,ot)|0)+Math.imul(y,at)|0,a=a+Math.imul(y,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ct)|0)+Math.imul(m,lt)|0,a=a+Math.imul(m,ct)|0;var kt=(c+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;c=((a=a+Math.imul(h,ht)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(D,q)|0,i=(i=i+Math.imul(D,G)|0)+Math.imul(R,q)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(I,W)|0,i=(i=i+Math.imul(I,Z)|0)+Math.imul(O,W)|0,a=a+Math.imul(O,Z)|0,n=n+Math.imul(L,J)|0,i=(i=i+Math.imul(L,K)|0)+Math.imul(C,J)|0,a=a+Math.imul(C,K)|0,n=n+Math.imul(M,$)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,$)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(v,lt)|0,i=(i=i+Math.imul(v,ct)|0)+Math.imul(y,lt)|0,a=a+Math.imul(y,ct)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(m,ft)|0,a=a+Math.imul(m,ht)|0;var At=(c+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,mt)|0)+Math.imul(h,dt)|0))<<13)|0;c=((a=a+Math.imul(h,mt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,q),i=(i=Math.imul(B,G))+Math.imul(N,q)|0,a=Math.imul(N,G),n=n+Math.imul(D,W)|0,i=(i=i+Math.imul(D,Z)|0)+Math.imul(R,W)|0,a=a+Math.imul(R,Z)|0,n=n+Math.imul(I,J)|0,i=(i=i+Math.imul(I,K)|0)+Math.imul(O,J)|0,a=a+Math.imul(O,K)|0,n=n+Math.imul(L,$)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,$)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ct)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ct)|0,n=n+Math.imul(v,ft)|0,i=(i=i+Math.imul(v,ht)|0)+Math.imul(y,ft)|0,a=a+Math.imul(y,ht)|0;var Mt=(c+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,mt)|0)+Math.imul(m,dt)|0))<<13)|0;c=((a=a+Math.imul(m,mt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,W),i=(i=Math.imul(B,Z))+Math.imul(N,W)|0,a=Math.imul(N,Z),n=n+Math.imul(D,J)|0,i=(i=i+Math.imul(D,K)|0)+Math.imul(R,J)|0,a=a+Math.imul(R,K)|0,n=n+Math.imul(I,$)|0,i=(i=i+Math.imul(I,tt)|0)+Math.imul(O,$)|0,a=a+Math.imul(O,tt)|0,n=n+Math.imul(L,rt)|0,i=(i=i+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ct)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ct)|0,n=n+Math.imul(b,ft)|0,i=(i=i+Math.imul(b,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var St=(c+(n=n+Math.imul(v,dt)|0)|0)+((8191&(i=(i=i+Math.imul(v,mt)|0)+Math.imul(y,dt)|0))<<13)|0;c=((a=a+Math.imul(y,mt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,J),i=(i=Math.imul(B,K))+Math.imul(N,J)|0,a=Math.imul(N,K),n=n+Math.imul(D,$)|0,i=(i=i+Math.imul(D,tt)|0)+Math.imul(R,$)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(I,rt)|0,i=(i=i+Math.imul(I,nt)|0)+Math.imul(O,rt)|0,a=a+Math.imul(O,nt)|0,n=n+Math.imul(L,at)|0,i=(i=i+Math.imul(L,ot)|0)+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ct)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ct)|0,n=n+Math.imul(T,ft)|0,i=(i=i+Math.imul(T,ht)|0)+Math.imul(k,ft)|0,a=a+Math.imul(k,ht)|0;var Et=(c+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,mt)|0)+Math.imul(_,dt)|0))<<13)|0;c=((a=a+Math.imul(_,mt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,$),i=(i=Math.imul(B,tt))+Math.imul(N,$)|0,a=Math.imul(N,tt),n=n+Math.imul(D,rt)|0,i=(i=i+Math.imul(D,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(I,at)|0,i=(i=i+Math.imul(I,ot)|0)+Math.imul(O,at)|0,a=a+Math.imul(O,ot)|0,n=n+Math.imul(L,lt)|0,i=(i=i+Math.imul(L,ct)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ct)|0,n=n+Math.imul(M,ft)|0,i=(i=i+Math.imul(M,ht)|0)+Math.imul(S,ft)|0,a=a+Math.imul(S,ht)|0;var Lt=(c+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,mt)|0)+Math.imul(k,dt)|0))<<13)|0;c=((a=a+Math.imul(k,mt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(D,at)|0,i=(i=i+Math.imul(D,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(I,lt)|0,i=(i=i+Math.imul(I,ct)|0)+Math.imul(O,lt)|0,a=a+Math.imul(O,ct)|0,n=n+Math.imul(L,ft)|0,i=(i=i+Math.imul(L,ht)|0)+Math.imul(C,ft)|0,a=a+Math.imul(C,ht)|0;var Ct=(c+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,mt)|0)+Math.imul(S,dt)|0))<<13)|0;c=((a=a+Math.imul(S,mt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(D,lt)|0,i=(i=i+Math.imul(D,ct)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ct)|0,n=n+Math.imul(I,ft)|0,i=(i=i+Math.imul(I,ht)|0)+Math.imul(O,ft)|0,a=a+Math.imul(O,ht)|0;var Pt=(c+(n=n+Math.imul(L,dt)|0)|0)+((8191&(i=(i=i+Math.imul(L,mt)|0)+Math.imul(C,dt)|0))<<13)|0;c=((a=a+Math.imul(C,mt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ct))+Math.imul(N,lt)|0,a=Math.imul(N,ct),n=n+Math.imul(D,ft)|0,i=(i=i+Math.imul(D,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var It=(c+(n=n+Math.imul(I,dt)|0)|0)+((8191&(i=(i=i+Math.imul(I,mt)|0)+Math.imul(O,dt)|0))<<13)|0;c=((a=a+Math.imul(O,mt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var Ot=(c+(n=n+Math.imul(D,dt)|0)|0)+((8191&(i=(i=i+Math.imul(D,mt)|0)+Math.imul(R,dt)|0))<<13)|0;c=((a=a+Math.imul(R,mt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863;var zt=(c+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,mt))+Math.imul(N,dt)|0))<<13)|0;return c=((a=Math.imul(N,mt))+(i>>>13)|0)+(zt>>>26)|0,zt&=67108863,l[0]=gt,l[1]=vt,l[2]=yt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Pt,l[16]=It,l[17]=Ot,l[18]=zt,0!==c&&(l[19]=c,r.length++),r};function m(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r=this.length+t.length;return 10===this.length&&10===t.length?d(this,t,e):r<63?p(this,t,e):r<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a<r.length-1;a++){var o=i;i=0;for(var s=67108863&n,l=Math.min(a,e.length-1),c=Math.max(0,a-t.length+1);c<=l;c++){var u=a-c,f=(0|t.words[u])*(0|e.words[c]),h=67108863&f;s=67108863&(h=h+s|0),i+=(o=(o=o+(f/67108864|0)|0)+(h>>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):m(this,t,e)},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},g.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i<e;i++)n|=(1&t)<<e-i-1,t>>=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o<a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},g.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o<i;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),c=Math.sin(2*Math.PI/s),u=0;u<i;u+=s)for(var f=l,h=c,p=0;p<o;p++){var d=r[u+p],m=n[u+p],g=r[u+p+o],v=n[u+p+o],y=f*g-h*v;v=f*v+h*g,g=y,r[u+p]=d+g,n[u+p]=m+v,r[u+p+o]=d-g,n[u+p+o]=m-v,p!==s&&(y=l*f-c*h,h=l*h+c*f,f=y)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,i=0;for(r=r/2|0;r;r>>>=1)i++;return 1<<i+1+n},g.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var i=t[n];t[n]=t[r-n-1],t[r-n-1]=i,i=e[n],e[n]=-e[r-n-1],e[r-n-1]=-i}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&i,r=i<67108864?0:i/67108864|0}return t},g.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o<e;o++)a+=0|t[o],r[2*o]=8191&a,a>>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o<i;++o)r[o]=0;n(0===a),n(0==(-8192&a))},g.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},g.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(n),a=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),c=new Array(n),u=new Array(n),f=new Array(n),h=r.words;h.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,c,n),this.transform(o,a,s,l,n,i),this.transform(c,a,u,f,n,i);for(var p=0;p<n;p++){var d=s[p]*u[p]-l[p]*f[p];l[p]=s[p]*f[p]+l[p]*u[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,h,a,n,i),this.conjugate(h,a,n),this.normalize13b(h,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},a.prototype.mul=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},a.prototype.mulf=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),m(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n(\"number\"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var i=(0|this.words[r])*t,a=(67108863&i)+(67108863&e);e>>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,i=r%26;e[r]=(t.words[n]&1<<i)>>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var i=r.sqr();n<e.length;n++,i=i.sqr())0!==e[n]&&(r=r.mul(i));return r},a.prototype.iushln=function(t){n(\"number\"==typeof t&&t>=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&a,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e<i;e++)this.words[e]=0;this.length+=i}return this.strip()},a.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},a.prototype.iushrn=function(t,e,r){var i;n(\"number\"==typeof t&&t>=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<<a,l=r;if(i-=o,i=Math.max(0,i),l){for(var c=0;c<o;c++)l.words[c]=this.words[c];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,c=0;c<this.length;c++)this.words[c]=this.words[c+o];else this.words[0]=0,this.length=1;var u=0;for(c=this.length-1;c>=0&&(0!==u||c>=i);c--){var f=0|this.words[c];this.words[c]=u<<26-a|f>>>a,u=f&s}return l&&0!==u&&(l.words[l.length++]=u),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<<e;return!(this.length<=r)&&!!(this.words[r]&i)},a.prototype.imaskn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,\"imaskn works only with positive numbers\"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<<e;this.words[this.length-1]&=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n(\"number\"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},a.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n(\"number\"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},a.prototype.addn=function(t){return this.clone().iaddn(t)},a.prototype.subn=function(t){return this.clone().isubn(t)},a.prototype.iabs=function(){return this.negative=0,this},a.prototype.abs=function(){return this.clone().iabs()},a.prototype._ishlnsubmul=function(t,e,r){var i,a,o=t.length+r;this._expand(o);var s=0;for(i=0;i<t.length;i++){a=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;s=((a-=67108863&l)>>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i<this.length-r;i++)s=(a=(0|this.words[i+r])+s)>>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i<this.length;i++)s=(a=-(0|this.words[i])+s)>>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!==(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if(\"mod\"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var c=0;c<s.length;c++)s.words[c]=0}var u=n.clone()._ishlnsubmul(i,1,l);0===u.negative&&(n=u,s&&(s.words[l]=1));for(var f=l-1;f>=0;f--){var h=67108864*(0|n.words[i.length+f])+(0|n.words[i.length+f-1]);for(h=Math.min(h/o|0,67108863),n._ishlnsubmul(i,h,f);0!==n.negative;)h--,n.negative=0,n._ishlnsubmul(i,1,f),n.isZero()||(n.negative^=1);s&&(s.words[f]=h)}return s&&s.strip(),n.strip(),\"div\"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),\"mod\"!==e&&(i=s.div.neg()),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),\"mod\"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?\"div\"===e?{div:this.divn(t.words[0]),mod:null}:\"mod\"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,\"div\",!1).div},a.prototype.mod=function(t){return this.divmod(t,\"mod\",!1).mod},a.prototype.umod=function(t){return this.divmod(t,\"mod\",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),c=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++c;for(var u=r.clone(),f=e.clone();!e.isZero();){for(var h=0,p=1;0==(e.words[0]&p)&&h<26;++h,p<<=1);if(h>0)for(e.iushrn(h);h-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(u),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,m=1;0==(r.words[0]&m)&&d<26;++d,m<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(u),l.isub(f)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(c)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var c=0,u=1;0==(e.words[0]&u)&&c<26;++c,u<<=1);if(c>0)for(e.iushrn(c);c-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var f=0,h=1;0==(r.words[0]&h)&&f<26;++f,h<<=1);if(f>0)for(r.iushrn(f);f-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n(\"number\"==typeof t);var e=t%26,r=(t-e)/26,i=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&&o<this.length;o++){var s=0|this.words[o];a=(s+=a)>>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,\"Number is too big\");var i=0|this.words[0];e=i===t?0:i<t?-1:1}return 0!==this.negative?0|-e:e},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},a.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n<i?e=-1:n>i&&(e=1);break}}return 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numbers\"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,\"redISqr works only with red numbers\"),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,\"redSqrt works only with red numbers\"),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,\"redInvm works only with red numbers\"),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,\"redNeg works only with red numbers\"),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&&!t.red,\"redPow(normalNum)\"),this.red._verify1(this),this.red.pow(this,t)};var v={k256:null,p224:null,p192:null,p25519:null};function y(t,e){this.name=t,this.p=new a(e,16),this.n=this.p.bitLength(),this.k=new a(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function x(){y.call(this,\"k256\",\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f\")}function b(){y.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}function _(){y.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}function w(){y.call(this,\"25519\",\"7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed\")}function T(t){if(\"string\"==typeof t){var e=a._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),\"modulus must be greater than 1\"),this.m=t,this.prime=null}function k(t){T.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}y.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},y.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),e=(r=(r=this.imulK(r)).iadd(this.tmp)).bitLength()}while(e>this.n);var n=e<this.n?-1:r.ucmp(this.p);return 0===n?(r.words[0]=0,r.length=1):n>0?r.isub(this.p):void 0!==r.strip?r.strip():r._strip(),r},y.prototype.split=function(t,e){t.iushrn(this.n,0,e)},y.prototype.imulK=function(t){return t.imul(this.k)},i(x,y),x.prototype.split=function(t,e){for(var r=Math.min(t.length,9),n=0;n<r;n++)e.words[n]=t.words[n];if(e.length=r,t.length<=9)return t.words[0]=0,void(t.length=1);var i=t.words[9];for(e.words[e.length++]=4194303&i,n=10;n<t.length;n++){var a=0|t.words[n];t.words[n-10]=(4194303&a)<<4|i>>>22,i=a}i>>>=22,t.words[n-10]=i,0===i&&t.length>10?t.length-=10:t.length-=9},x.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r<t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&e,e=64*n+(e/67108864|0)}return 0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},i(b,y),i(_,y),i(w,y),w.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,i=67108863&n;n>>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(v[t])return v[t];var e;if(\"k256\"===t)e=new x;else if(\"p224\"===t)e=new b;else if(\"p192\"===t)e=new _;else{if(\"p25519\"!==t)throw new Error(\"Unknown prime \"+t);e=new w}return v[t]=e,e},T.prototype._verify1=function(t){n(0===t.negative,\"red works only with positives\"),n(t.red,\"red works only with red numbers\")},T.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),\"red works only with positives\"),n(t.red&&t.red===e.red,\"red works only with red numbers\")},T.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},T.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},T.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},T.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},T.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},T.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},T.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},T.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},T.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},T.prototype.isqr=function(t){return this.imul(t,t.clone())},T.prototype.sqr=function(t){return this.mul(t,t)},T.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return this.pow(t,r)}for(var i=this.m.subn(1),o=0;!i.isZero()&&0===i.andln(1);)o++,i.iushrn(1);n(!i.isZero());var s=new a(1).toRed(this),l=s.redNeg(),c=this.m.subn(1).iushrn(1),u=this.m.bitLength();for(u=new a(2*u*u).toRed(this);0!==this.pow(u,c).cmp(l);)u.redIAdd(l);for(var f=this.pow(u,i),h=this.pow(t,i.addn(1).iushrn(1)),p=this.pow(t,i),d=o;0!==p.cmp(s);){for(var m=p,g=0;0!==m.cmp(s);g++)m=m.redSqr();n(g<d);var v=this.pow(f,new a(1).iushln(d-g-1));h=h.redMul(v),f=v.redSqr(),p=p.redMul(f),d=g}return h},T.prototype.invm=function(t){var e=t._invmp(this.m);return 0!==e.negative?(e.negative=0,this.imod(e).redNeg()):this.imod(e)},T.prototype.pow=function(t,e){if(e.isZero())return new a(1).toRed(this);if(0===e.cmpn(1))return t.clone();var r=new Array(16);r[0]=new a(1).toRed(this),r[1]=t;for(var n=2;n<r.length;n++)r[n]=this.mul(r[n-1],t);var i=r[0],o=0,s=0,l=e.bitLength()%26;for(0===l&&(l=26),n=e.length-1;n>=0;n--){for(var c=e.words[n],u=l-1;u>=0;u--){var f=c>>u&1;i!==r[0]&&(i=this.sqr(i)),0!==f||0!==o?(o<<=1,o|=f,(4===++s||0===n&&0===u)&&(i=this.mul(i,r[o]),s=0,o=0)):s=0}l=26}return i},T.prototype.convertTo=function(t){var e=t.umod(this.m);return e===t?e.clone():e},T.prototype.convertFrom=function(t){var e=t.clone();return e.red=null,e},a.mont=function(t){return new k(t)},i(k,T),k.prototype.convertTo=function(t){return this.imod(t.ushln(this.shift))},k.prototype.convertFrom=function(t){var e=this.imod(t.mul(this.rinv));return e.red=null,e},k.prototype.imul=function(t,e){if(t.isZero()||e.isZero())return t.words[0]=0,t.length=1,t;var r=t.imul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),a=i;return i.cmp(this.m)>=0?a=i.isub(this.m):i.cmpn(0)<0&&(a=i.iadd(this.m)),a._forceRed(this)},k.prototype.mul=function(t,e){if(t.isZero()||e.isZero())return new a(0)._forceRed(this);var r=t.mul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),o=i;return i.cmp(this.m)>=0?o=i.isub(this.m):i.cmpn(0)<0&&(o=i.iadd(this.m)),o._forceRed(this)},k.prototype.invm=function(t){return this.imod(t._invmp(this.m).mul(this.r2))._forceRed(this)}}(void 0===e||e,this)},{buffer:2}],34:[function(t,e,r){\"use strict\";e.exports=function(t){var e,r,n,i=t.length,a=0;for(e=0;e<i;++e)a+=t[e].length;var o=new Array(a),s=0;for(e=0;e<i;++e){var l=t[e],c=l.length;for(r=0;r<c;++r){var u=o[s++]=new Array(c-1),f=0;for(n=0;n<c;++n)n!==r&&(u[f++]=l[n]);if(1&r){var h=u[1];u[1]=u[0],u[0]=h}}}return o}},{}],35:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){switch(arguments.length){case 1:return f(t);case 2:return\"function\"==typeof e?c(t,t,e,!0):h(t,e);case 3:return c(t,e,r,!1);default:throw new Error(\"box-intersect: Invalid arguments\")}};var n,i=t(\"typedarray-pool\"),a=t(\"./lib/sweep\"),o=t(\"./lib/intersect\");function s(t,e){for(var r=0;r<t;++r)if(!(e[r]<=e[r+t]))return!0;return!1}function l(t,e,r,n){for(var i=0,a=0,o=0,l=t.length;o<l;++o){var c=t[o];if(!s(e,c)){for(var u=0;u<2*e;++u)r[i++]=c[u];n[a++]=o}}return a}function c(t,e,r,n){var s=t.length,c=e.length;if(!(s<=0||c<=0)){var u=t[0].length>>>1;if(!(u<=0)){var f,h=i.mallocDouble(2*u*s),p=i.mallocInt32(s);if((s=l(t,u,h,p))>0){if(1===u&&n)a.init(s),f=a.sweepComplete(u,r,0,s,h,p,0,s,h,p);else{var d=i.mallocDouble(2*u*c),m=i.mallocInt32(c);(c=l(e,u,d,m))>0&&(a.init(s+c),f=1===u?a.sweepBipartite(u,r,0,s,h,p,0,c,d,m):o(u,r,n,s,h,p,c,d,m),i.free(d),i.free(m))}i.free(h),i.free(p)}return f}}}function u(t,e){n.push([t,e])}function f(t){return n=[],c(t,t,u,!0),n}function h(t,e){return n=[],c(t,e,u,!1),n}},{\"./lib/intersect\":37,\"./lib/sweep\":41,\"typedarray-pool\":308}],36:[function(t,e,r){\"use strict\";function n(t){return t?function(t,e,r,n,i,a,o,s,l,c,u){return i-n>l-s?function(t,e,r,n,i,a,o,s,l,c,u){for(var f=2*t,h=n,p=f*n;h<i;++h,p+=f){var d=a[e+p],m=a[e+p+t],g=o[h];t:for(var v=s,y=f*s;v<l;++v,y+=f){var x=c[e+y],b=c[e+y+t],_=u[v];if(!(b<d||m<x)){for(var w=e+1;w<t;++w){var T=a[w+p],k=a[w+t+p],A=c[w+y],M=c[w+t+y];if(k<A||M<T)continue t}var S=r(g,_);if(void 0!==S)return S}}}}(t,e,r,n,i,a,o,s,l,c,u):function(t,e,r,n,i,a,o,s,l,c,u){for(var f=2*t,h=s,p=f*s;h<l;++h,p+=f){var d=c[e+p],m=c[e+p+t],g=u[h];t:for(var v=n,y=f*n;v<i;++v,y+=f){var x=a[e+y],b=a[e+y+t],_=o[v];if(!(m<x||b<d)){for(var w=e+1;w<t;++w){var T=a[w+y],k=a[w+t+y],A=c[w+p],M=c[w+t+p];if(k<A||M<T)continue t}var S=r(_,g);if(void 0!==S)return S}}}}(t,e,r,n,i,a,o,s,l,c,u)}:function(t,e,r,n,i,a,o,s,l,c,u,f){return a-i>c-l?n?function(t,e,r,n,i,a,o,s,l,c,u){for(var f=2*t,h=n,p=f*n;h<i;++h,p+=f){var d=a[e+p],m=a[e+p+t],g=o[h];t:for(var v=s,y=f*s;v<l;++v,y+=f){var x=c[e+y],b=u[v];if(!(x<=d||m<x)){for(var _=e+1;_<t;++_){var w=a[_+p],T=a[_+t+p],k=c[_+y],A=c[_+t+y];if(T<k||A<w)continue t}var M=r(b,g);if(void 0!==M)return 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e=i.nextPow2(t);o.length<e&&(n.free(o),o=n.mallocInt32(e));s.length<e&&(n.free(s),s=n.mallocInt32(e));l.length<e&&(n.free(l),l=n.mallocInt32(e));c.length<e&&(n.free(c),c=n.mallocInt32(e));u.length<e&&(n.free(u),u=n.mallocInt32(e));f.length<e&&(n.free(f),f=n.mallocInt32(e));var r=8*e;h.length<r&&(n.free(h),h=n.mallocDouble(r))},sweepBipartite:function(t,e,r,n,i,u,f,m,g,v){for(var y=0,x=2*t,b=t-1,_=x-1,w=r;w<n;++w){var T=u[w],k=x*w;h[y++]=i[k+b],h[y++]=-(T+1),h[y++]=i[k+_],h[y++]=T}for(w=f;w<m;++w){T=v[w]+(1<<28);var A=x*w;h[y++]=g[A+b],h[y++]=-T,h[y++]=g[A+_],h[y++]=T}var M=y>>>1;a(h,M);var S=0,E=0;for(w=0;w<M;++w){var L=0|h[2*w+1];if(L>=1<<28)p(l,c,E--,L=L-(1<<28)|0);else if(L>=0)p(o,s,S--,L);else if(L<=-(1<<28)){L=-L-(1<<28)|0;for(var C=0;C<S;++C){if(void 0!==(P=e(o[C],L)))return P}d(l,c,E++,L)}else{L=-L-1|0;for(C=0;C<E;++C){var P;if(void 0!==(P=e(L,l[C])))return P}d(o,s,S++,L)}}},sweepComplete:function(t,e,r,n,i,m,g,v,y,x){for(var b=0,_=2*t,w=t-1,T=_-1,k=r;k<n;++k){var 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e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<=0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new h(this,n)},l.gt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new h(this,n)},l.lt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new h(this,n)},l.le=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>=0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new h(this,n)},l.find=function(t){for(var e=this._compare,r=this.root,n=[];r;){var i=e(t,r.key);if(n.push(r),0===i)return new h(this,n);r=i<=0?r.left:r.right}return new h(this,[])},l.remove=function(t){var e=this.find(t);return e?e.remove():this},l.get=function(t){for(var e=this._compare,r=this.root;r;){var n=e(t,r.key);if(0===n)return r.value;r=n<=0?r.left:r.right}};var p=h.prototype;function d(t,e){t.key=e.key,t.value=e.value,t.left=e.left,t.right=e.right,t._color=e._color,t._count=e._count}function m(t,e){return t<e?-1:t>e?1:0}Object.defineProperty(p,\"valid\",{get:function(){return this._stack.length>0}}),Object.defineProperty(p,\"node\",{get:function(){return this._stack.length>0?this._stack[this._stack.length-1]:null},enumerable:!0}),p.clone=function(){return new h(this.tree,this._stack.slice())},p.remove=function(){var t=this._stack;if(0===t.length)return this.tree;var e=new Array(t.length),r=t[t.length-1];e[e.length-1]=new n(r._color,r.key,r.value,r.left,r.right,r._count);for(var l=t.length-2;l>=0;--l){(r=t[l]).left===t[l+1]?e[l]=new n(r._color,r.key,r.value,e[l+1],r.right,r._count):e[l]=new n(r._color,r.key,r.value,r.left,e[l+1],r._count)}if((r=e[e.length-1]).left&&r.right){var c=e.length;for(r=r.left;r.right;)e.push(r),r=r.right;var u=e[c-1];e.push(new n(r._color,u.key,u.value,r.left,r.right,r._count)),e[c-1].key=r.key,e[c-1].value=r.value;for(l=e.length-2;l>=c;--l)r=e[l],e[l]=new n(r._color,r.key,r.value,r.left,e[l+1],r._count);e[c-1].left=e[c]}if(0===(r=e[e.length-1])._color){var f=e[e.length-2];f.left===r?f.left=null:f.right===r&&(f.right=null),e.pop();for(l=0;l<e.length;++l)e[l]._count--;return new s(this.tree._compare,e[0])}if(r.left||r.right){r.left?d(r,r.left):r.right&&d(r,r.right),r._color=1;for(l=0;l<e.length-1;++l)e[l]._count--;return new s(this.tree._compare,e[0])}if(1===e.length)return new s(this.tree._compare,null);for(l=0;l<e.length;++l)e[l]._count--;var h=e[e.length-2];return function(t){for(var e,r,n,s,l=t.length-1;l>=0;--l){if(e=t[l],0===l)return void(e._color=1);if((r=t[l-1]).left===e){if((n=r.right).right&&0===n.right._color){if(s=(n=r.right=i(n)).right=i(n.right),r.right=n.left,n.left=r,n.right=s,n._color=r._color,e._color=1,r._color=1,s._color=1,o(r),o(n),l>1)(c=t[l-2]).left===r?c.left=n:c.right=n;return void(t[l-1]=n)}if(n.left&&0===n.left._color){if(s=(n=r.right=i(n)).left=i(n.left),r.right=s.left,n.left=s.right,s.left=r,s.right=n,s._color=r._color,r._color=1,n._color=1,e._color=1,o(r),o(n),o(s),l>1)(c=t[l-2]).left===r?c.left=s:c.right=s;return void(t[l-1]=s)}if(1===n._color){if(0===r._color)return r._color=1,void(r.right=a(0,n));r.right=a(0,n);continue}n=i(n),r.right=n.left,n.left=r,n._color=r._color,r._color=0,o(r),o(n),l>1&&((c=t[l-2]).left===r?c.left=n:c.right=n),t[l-1]=n,t[l]=r,l+1<t.length?t[l+1]=e:t.push(e),l+=2}else{if((n=r.left).left&&0===n.left._color){if(s=(n=r.left=i(n)).left=i(n.left),r.left=n.right,n.right=r,n.left=s,n._color=r._color,e._color=1,r._color=1,s._color=1,o(r),o(n),l>1)(c=t[l-2]).right===r?c.right=n:c.left=n;return void(t[l-1]=n)}if(n.right&&0===n.right._color){if(s=(n=r.left=i(n)).right=i(n.right),r.left=s.right,n.right=s.left,s.right=r,s.left=n,s._color=r._color,r._color=1,n._color=1,e._color=1,o(r),o(n),o(s),l>1)(c=t[l-2]).right===r?c.right=s:c.left=s;return void(t[l-1]=s)}if(1===n._color){if(0===r._color)return r._color=1,void(r.left=a(0,n));r.left=a(0,n);continue}var c;n=i(n),r.left=n.right,n.right=r,n._color=r._color,r._color=0,o(r),o(n),l>1&&((c=t[l-2]).right===r?c.right=n:c.left=n),t[l-1]=n,t[l]=r,l+1<t.length?t[l+1]=e:t.push(e),l+=2}}}(e),h.left===r?h.left=null:h.right=null,new s(this.tree._compare,e[0])},Object.defineProperty(p,\"key\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(p,\"value\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(p,\"index\",{get:function(){var t=0,e=this._stack;if(0===e.length){var r=this.tree.root;return r?r._count:0}e[e.length-1].left&&(t=e[e.length-1].left._count);for(var n=e.length-2;n>=0;--n)e[n+1]===e[n].right&&(++t,e[n].left&&(t+=e[n].left._count));return t},enumerable:!0}),p.next=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.right)for(e=e.right;e;)t.push(e),e=e.left;else for(t.pop();t.length>0&&t[t.length-1].right===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(p,\"hasNext\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].right)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].left===t[e])return!0;return!1}}),p.update=function(t){var e=this._stack;if(0===e.length)throw new Error(\"Can't update empty node!\");var r=new Array(e.length),i=e[e.length-1];r[r.length-1]=new n(i._color,i.key,t,i.left,i.right,i._count);for(var a=e.length-2;a>=0;--a)(i=e[a]).left===e[a+1]?r[a]=new n(i._color,i.key,i.value,r[a+1],i.right,i._count):r[a]=new n(i._color,i.key,i.value,i.left,r[a+1],i._count);return new s(this.tree._compare,r[0])},p.prev=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.left)for(e=e.left;e;)t.push(e),e=e.right;else for(t.pop();t.length>0&&t[t.length-1].left===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(p,\"hasPrev\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].left)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].right===t[e])return!0;return!1}})},{}],70:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=new u(t);return r.update(e),r};var n=t(\"./lib/text.js\"),i=t(\"./lib/lines.js\"),a=t(\"./lib/background.js\"),o=t(\"./lib/cube.js\"),s=t(\"./lib/ticks.js\"),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]);function c(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function u(t){this.gl=t,this.pixelRatio=1,this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.autoTicks=!0,this.tickSpacing=[1,1,1],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickAlign=[\"auto\",\"auto\",\"auto\"],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[10,10,10],this.lastCubeProps={cubeEdges:[0,0,0],axis:[0,0,0]},this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=\"sans-serif\",this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelAlign=[\"auto\",\"auto\",\"auto\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[10,10,10],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[0,0,0],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!1,!1,!1],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._firstInit=!0,this._text=null,this._lines=null,this._background=a(t)}var f=u.prototype;function h(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}f.update=function(t){function e(e,r,n){if(n in t){var i,a=t[n],o=this[n];(e?Array.isArray(a)&&Array.isArray(a[0]):Array.isArray(a))?this[n]=i=[r(a[0]),r(a[1]),r(a[2])]:this[n]=i=[r(a),r(a),r(a)];for(var s=0;s<3;++s)if(i[s]!==o[s])return!0}return!1}t=t||{};var r,a=e.bind(this,!1,Number),o=e.bind(this,!1,Boolean),l=e.bind(this,!1,String),c=e.bind(this,!0,(function(t){if(Array.isArray(t)){if(3===t.length)return[+t[0],+t[1],+t[2],1];if(4===t.length)return[+t[0],+t[1],+t[2],+t[3]]}return[0,0,0,1]})),u=!1,f=!1;if(\"bounds\"in t)for(var h=t.bounds,p=0;p<2;++p)for(var d=0;d<3;++d)h[p][d]!==this.bounds[p][d]&&(f=!0),this.bounds[p][d]=h[p][d];if(\"ticks\"in t){r=t.ticks,u=!0,this.autoTicks=!1;for(p=0;p<3;++p)this.tickSpacing[p]=0}else a(\"tickSpacing\")&&(this.autoTicks=!0,f=!0);if(this._firstInit&&(\"ticks\"in t||\"tickSpacing\"in t||(this.autoTicks=!0),f=!0,u=!0,this._firstInit=!1),f&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),u=!0),u){for(p=0;p<3;++p)r[p].sort((function(t,e){return t.x-e.x}));s.equal(r,this.ticks)?u=!1:this.ticks=r}o(\"tickEnable\"),l(\"tickFont\")&&(u=!0),a(\"tickSize\"),a(\"tickAngle\"),a(\"tickPad\"),c(\"tickColor\");var m=l(\"labels\");l(\"labelFont\")&&(m=!0),o(\"labelEnable\"),a(\"labelSize\"),a(\"labelPad\"),c(\"labelColor\"),o(\"lineEnable\"),o(\"lineMirror\"),a(\"lineWidth\"),c(\"lineColor\"),o(\"lineTickEnable\"),o(\"lineTickMirror\"),a(\"lineTickLength\"),a(\"lineTickWidth\"),c(\"lineTickColor\"),o(\"gridEnable\"),a(\"gridWidth\"),c(\"gridColor\"),o(\"zeroEnable\"),c(\"zeroLineColor\"),a(\"zeroLineWidth\"),o(\"backgroundEnable\"),c(\"backgroundColor\"),this._text?this._text&&(m||u)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&u&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var p=[new h,new h,new h];function d(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,c=n[e],u=0;u<3;++u)if(e!==u){var f=a,h=s,p=o,d=l;c&1<<u&&(f=s,h=a,p=l,d=o),f[u]=r[0][u],h[u]=r[1][u],i[u]>0?(p[u]=-1,d[u]=0):(p[u]=0,d[u]=1)}}var m=[0,0,0],g={model:l,view:l,projection:l,_ortho:!1};f.isOpaque=function(){return!0},f.isTransparent=function(){return!1},f.drawTransparent=function(t){};var v=[0,0,0],y=[0,0,0],x=[0,0,0];f.draw=function(t){t=t||g;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,u=o(r,n,i,a,s),f=u.cubeEdges,h=u.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*b+i[7]*_+i[11]*w+i[15]*T)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=f[A],this.lastCubeProps.axis[A]=h[A];var M=p;for(A=0;A<3;++A)d(p[A],A,this.bounds,f,h);e=this.gl;var S,E=m;for(A=0;A<3;++A)this.backgroundEnable[A]?E[A]=h[A]:E[A]=0;this._background.draw(r,n,i,a,E,this.backgroundColor),this._lines.bind(r,n,i,this);for(A=0;A<3;++A){var L=[0,0,0];h[A]>0?L[A]=a[1][A]:L[A]=a[0][A];for(var C=0;C<2;++C){var P=(A+1+C)%3,I=(A+1+(1^C))%3;this.gridEnable[P]&&this._lines.drawGrid(P,I,this.bounds,L,this.gridColor[P],this.gridWidth[P]*this.pixelRatio)}for(C=0;C<2;++C){P=(A+1+C)%3,I=(A+1+(1^C))%3;this.zeroEnable[I]&&Math.min(a[0][I],a[1][I])<=0&&Math.max(a[0][I],a[1][I])>=0&&this._lines.drawZero(P,I,this.bounds,L,this.zeroLineColor[I],this.zeroLineWidth[I]*this.pixelRatio)}}for(A=0;A<3;++A){this.lineEnable[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].primalOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio),this.lineMirror[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].mirrorOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio);var O=c(v,M[A].primalMinor),z=c(y,M[A].mirrorMinor),D=this.lineTickLength;for(C=0;C<3;++C){var R=k/r[5*C];O[C]*=D[C]*R,z[C]*=D[C]*R}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,O,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,z,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio);var F,B;function N(t){(B=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,H=c(x,M[A].primalOffset);for(C=0;C<3;++C)this.lineTickEnable[A]&&(H[C]+=k*U[C]*Math.max(this.lineTickLength[C],0)/r[5*C]);var q=[0,0,0];if(q[A]=1,this.tickEnable[A]){-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]=\"auto\"):this.tickAlign[A]=-1,F=1,\"auto\"===(S=[this.tickAlign[A],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),B=[0,0,0],j(A,U,V);for(C=0;C<3;++C)H[C]+=k*U[C]*this.tickPad[C]/r[5*C];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],H,this.tickColor[A],q,B,S)}if(this.labelEnable[A]){F=0,B=[0,0,0],this.labels[A].length>4&&(N(A),F=1),\"auto\"===(S=[this.labelAlign[A],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]);for(C=0;C<3;++C)H[C]+=k*U[C]*this.labelPad[C]/r[5*C];H[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],H,this.labelColor[A],[0,0,0],B,S)}}this._text.unbind()},f.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},{\"./lib/background.js\":71,\"./lib/cube.js\":72,\"./lib/lines.js\":73,\"./lib/text.js\":75,\"./lib/ticks.js\":76}],71:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var c=(l+1)%3,u=(l+2)%3,f=[0,0,0],h=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=p,h[l]=p;for(var d=-1;d<=1;d+=2){f[c]=d;for(var m=-1;m<=1;m+=2)f[u]=m,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var g=c;c=u,u=g}var v=n(t,new Float32Array(e)),y=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:v,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:v,type:t.FLOAT,size:3,offset:12,stride:24}],y),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,v,x,b)};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"./shaders\").bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders\":74,\"gl-buffer\":78,\"gl-vao\":150}],72:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var y=0,x=0;x<2;++x){u[2]=a[x][2];for(var b=0;b<2;++b){u[1]=a[b][1];for(var _=0;_<2;++_)u[0]=a[_][0],h(l[y],u,s),y+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)c[x][k]=l[x][k]/T;p&&(c[x][2]*=-1),T<0&&(w<0||c[x][2]<c[w][2])&&(w=x)}if(w<0){w=0;for(var A=0;A<3;++A){for(var M=(A+2)%3,S=(A+1)%3,E=-1,L=-1,C=0;C<2;++C){var P=(O=C<<A)+(C<<M)+(1-C<<S),I=O+(1-C<<M)+(C<<S);o(c[O],c[P],c[I],f)<0||(C?E=1:L=1)}if(E<0||L<0)L>E&&(w|=1<<A);else{for(C=0;C<2;++C){P=(O=C<<A)+(C<<M)+(1-C<<S),I=O+(1-C<<M)+(C<<S);var O,z=d([l[O],l[P],l[I],l[O+(1<<M)+(1<<S)]]);C?E=z:L=z}L>E&&(w|=1<<A)}}}var D=7^w,R=-1;for(x=0;x<8;++x)x!==w&&x!==D&&(R<0||c[R][1]>c[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x){if((N=R^1<<x)!==w&&N!==D)F<0&&(F=N),(S=c[N])[0]<c[F][0]&&(F=N)}var B=-1;for(x=0;x<3;++x){var N;if((N=R^1<<x)!==w&&N!==D&&N!==F)B<0&&(B=N),(S=c[N])[0]>c[B][0]&&(B=N)}var j=m;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===D?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=g,H=w;for(A=0;A<3;++A)V[A]=H&1<<A?-1:1;return v};var n=t(\"bit-twiddle\"),i=t(\"gl-mat4/multiply\"),a=t(\"split-polygon\"),o=t(\"robust-orientation\"),s=new Array(16),l=new Array(8),c=new Array(8),u=new Array(3),f=[0,0,0];function h(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var i=0;i<3;++i)t[n]+=e[i]*r[4*i+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],c[t]=[1,1,1]}();var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function d(t){for(var e=0;e<p.length;++e)if((t=a.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],i=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],c=s[0]/s[3]-n,u=s[1]/s[3]-i,f=l[0]/l[3]-n,h=l[1]/l[3]-i;o+=Math.abs(c*h-u*f)}return o}var m=[1,1,1],g=[0,0,0],v={cubeEdges:m,axis:g}},{\"bit-twiddle\":32,\"gl-mat4/multiply\":100,\"robust-orientation\":284,\"split-polygon\":300}],73:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var f=0;f<3;++f){for(var h=o.length/3|0,d=0;d<r[f].length;++d){var m=+r[f][d].x;o.push(m,0,1,m,1,1,m,0,-1,m,0,-1,m,1,1,m,1,-1)}var g=o.length/3|0;s[f]=h,l[f]=g-h;h=o.length/3|0;for(var v=0;v<r[f].length;++v){m=+r[f][v].x;o.push(m,0,1,m,1,1,m,0,-1,m,0,-1,m,1,1,m,1,-1)}g=o.length/3|0;c[f]=h,u[f]=g-h}var y=n(t,new Float32Array(o)),x=i(t,[{buffer:y,type:t.FLOAT,size:3,stride:0,offset:0}]),b=a(t);return b.attributes.position.location=0,new p(t,y,x,b,l,s,u,c)};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"./shaders\").line,o=[0,0,0],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[1,1];function f(t){return t[0]=t[1]=t[2]=0,t}function h(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,i,a,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=i,this.tickOffset=a,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,u[0]=this.gl.drawingBufferWidth,u[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=u,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,i){var a=f(s);this.shader.uniforms.majorAxis=s,a[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=a;var o,u=h(c,r);u[t]+=e[0][t],this.shader.uniforms.offset=u,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=n,(o=f(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=f(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,i){if(this.tickCount[t]){var a=f(o);a[t]=1,this.shader.uniforms.majorAxis=a,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=i;var s=f(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},d.drawGrid=function(t,e,r,n,i,a){if(this.gridCount[t]){var u=f(s);u[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=u;var p=h(c,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=f(o);d[t]=1,this.shader.uniforms.majorAxis=d;var m=f(l);m[t]=1,this.shader.uniforms.screenAxis=m,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,i,a){var o=f(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var u=h(c,n);u[t]+=r[0][t],this.shader.uniforms.offset=u;var p=f(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},{\"./shaders\":74,\"gl-buffer\":78,\"gl-vao\":150}],74:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\\nuniform float lineWidth;\\nuniform vec2 screenShape;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nvoid main() {\\n  vec3 major = position.x * majorAxis;\\n  vec3 minor = position.y * minorAxis;\\n\\n  vec3 vPosition = major + minor + offset;\\n  vec3 pPosition = project(vPosition);\\n  vec3 offset = project(vPosition + screenAxis * position.z);\\n\\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\\n\\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);r.line=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"}])};var s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis, alignDir, alignOpt;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nfloat computeViewAngle(vec3 a, vec3 b) {\\n  vec3 A = project(a);\\n  vec3 B = project(b);\\n\\n  return atan(\\n    (B.y - A.y) * resolution.y,\\n    (B.x - A.x) * resolution.x\\n  );\\n}\\n\\nconst float PI = 3.141592;\\nconst float TWO_PI = 2.0 * PI;\\nconst float HALF_PI = 0.5 * PI;\\nconst float ONE_AND_HALF_PI = 1.5 * PI;\\n\\nint option = int(floor(alignOpt.x + 0.001));\\nfloat hv_ratio =       alignOpt.y;\\nbool enableAlign =    (alignOpt.z != 0.0);\\n\\nfloat mod_angle(float a) {\\n  return mod(a, PI);\\n}\\n\\nfloat positive_angle(float a) {\\n  return mod_angle((a < 0.0) ?\\n    a + TWO_PI :\\n    a\\n  );\\n}\\n\\nfloat look_upwards(float a) {\\n  float b = positive_angle(a);\\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\\n    b - PI :\\n    b;\\n}\\n\\nfloat look_horizontal_or_vertical(float a, float ratio) {\\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\\n  // if ratio is set to 0.5 then it is 50%, 50%.\\n  // when using a higher ratio e.g. 0.75 the result would\\n  // likely be more horizontal than vertical.\\n\\n  float b = positive_angle(a);\\n\\n  return\\n    (b < (      ratio) * HALF_PI) ? 0.0 :\\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\\n                                    0.0;\\n}\\n\\nfloat roundTo(float a, float b) {\\n  return float(b * floor((a + 0.5 * b) / b));\\n}\\n\\nfloat look_round_n_directions(float a, int n) {\\n  float b = positive_angle(a);\\n  float div = TWO_PI / float(n);\\n  float c = roundTo(b, div);\\n  return look_upwards(c);\\n}\\n\\nfloat applyAlignOption(float rawAngle, float delta) {\\n  return\\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\\n                    rawAngle;                // otherwise return back raw input angle\\n}\\n\\nbool isAxisTitle = (axis.x == 0.0) &&\\n                   (axis.y == 0.0) &&\\n                   (axis.z == 0.0);\\n\\nvoid main() {\\n  //Compute world offset\\n  float axisDistance = position.z;\\n  vec3 dataPosition = axisDistance * axis + offset;\\n\\n  float beta = angle; // i.e. user defined attributes for each tick\\n\\n  float axisAngle;\\n  float clipAngle;\\n  float flip;\\n\\n  if (enableAlign) {\\n    axisAngle = (isAxisTitle) ? HALF_PI :\\n                      computeViewAngle(dataPosition, dataPosition + axis);\\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\\n\\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\\n\\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\\n\\n    beta += applyAlignOption(clipAngle, flip * PI);\\n  }\\n\\n  //Compute plane offset\\n  vec2 planeCoord = position.xy * pixelScale;\\n\\n  mat2 planeXform = scale * mat2(\\n     cos(beta), sin(beta),\\n    -sin(beta), cos(beta)\\n  );\\n\\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n  //Compute clip position\\n  vec3 clipPosition = project(dataPosition);\\n\\n  //Apply text offset in clip coordinates\\n  clipPosition += vec3(viewOffset, 0.0);\\n\\n  //Done\\n  gl_Position = vec4(clipPosition, 1.0);\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);r.text=function(t){return i(t,s,l,null,[{name:\"position\",type:\"vec3\"}])};var c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 enable;\\nuniform vec3 bounds[2];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n\\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\\n\\n  vec3 realNormal = signAxis * normal;\\n\\n  if(dot(realNormal, enable) > 0.0) {\\n    vec3 minRange = min(bounds[0], bounds[1]);\\n    vec3 maxRange = max(bounds[0], bounds[1]);\\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\\n    gl_Position = projection * view * model * vec4(nPosition, 1.0);\\n  } else {\\n    gl_Position = vec4(0,0,0,0);\\n  }\\n\\n  colorChannel = abs(realNormal);\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 colors[3];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n  gl_FragColor = colorChannel.x * colors[0] +\\n                 colorChannel.y * colors[1] +\\n                 colorChannel.z * colors[2];\\n}\"]);r.bg=function(t){return i(t,c,u,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},{\"gl-shader\":132,glslify:231}],75:[function(t,e,r){(function(r){(function(){\"use strict\";e.exports=function(t,e,r,a,s,l){var u=n(t),f=i(t,[{buffer:u,size:3}]),h=o(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,a,s,l),p};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"vectorize-text\"),o=t(\"./shaders\").text,s=window||r.global||{},l=s.__TEXT_CACHE||{};s.__TEXT_CACHE={};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}var u=c.prototype,f=[0,0];u.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,f[0]=this.gl.drawingBufferWidth,f[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=f},u.unbind=function(){this.vao.unbind()},u.update=function(t,e,r,n,i){var o=[];function s(t,e,r,n,i,s){var c=l[r];c||(c=l[r]={});var u=c[e];u||(u=c[e]=function(t,e){try{return a(t,e)}catch(e){return console.warn('error vectorizing text:\"'+t+'\" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:i,styletags:s}));for(var f=(n||12)/12,h=u.positions,p=u.cells,d=0,m=p.length;d<m;++d)for(var g=p[d],v=2;v>=0;--v){var y=h[g[v]];o.push(f*y[0],-f*y[1],t)}}for(var c=[0,0,0],u=[0,0,0],f=[0,0,0],h=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){f[d]=o.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),h[d]=(o.length/3|0)-f[d],c[d]=o.length/3|0;for(var m=0;m<n[d].length;++m)n[d][m].text&&s(n[d][m].x,n[d][m].text,n[d][m].font||i,n[d][m].fontSize||12,1.25,p);u[d]=(o.length/3|0)-c[d]}this.buffer.update(o),this.tickOffset=c,this.tickCount=u,this.labelOffset=f,this.labelCount=h},u.drawTicks=function(t,e,r,n,i,a,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},u.drawLabel=function(t,e,r,n,i,a,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},u.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}}).call(this)}).call(this,t(\"_process\"))},{\"./shaders\":74,_process:5,\"gl-buffer\":78,\"gl-vao\":150,\"vectorize-text\":311}],76:[function(t,e,r){\"use strict\";function n(t,e){var r=t+\"\",n=r.indexOf(\".\"),i=0;n>=0&&(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*a),s=o+\"\";if(s.indexOf(\"e\")>=0)return s;var l=o/a,c=o%a;o<0?(l=0|-Math.ceil(l),c=0|-c):(l=0|Math.floor(l),c|=0);var u=\"\"+l;if(o<0&&(u=\"-\"+u),i){for(var f=\"\"+c;f.length<i;)f=\"0\"+f;return u+\".\"+f}return u}r.create=function(t,e){for(var r=[],i=0;i<3;++i){for(var a=[],o=(t[0][i],t[1][i],0);o*e[i]<=t[1][i];++o)a.push({x:o*e[i],text:n(e[i],o)});for(o=-1;o*e[i]>=t[0][i];--o)a.push({x:o*e[i],text:n(e[i],o)});r.push(a)}return r},r.equal=function(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;++n){var i=t[r][n],a=e[r][n];if(i.x!==a.x||i.text!==a.text||i.font!==a.font||i.fontColor!==a.fontColor||i.fontSize!==a.fontSize||i.dx!==a.dx||i.dy!==a.dy)return!1}}return!0}},{}],77:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,l,f){var h=e.model||c,p=e.view||c,v=e.projection||c,y=e._ortho||!1,x=t.bounds,b=(f=f||a(h,p,v,x,y)).axis;o(u,p,h),o(u,v,u);for(var _=m,w=0;w<3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var T=n(s(u,u));s(u,u);for(var k=0;k<3;++k){var A=(k+1)%3,M=(k+2)%3,S=g;t:for(w=0;w<2;++w){var E=[];if(b[k]<0!=!!w){S[k]=x[w][k];for(var L=0;L<2;++L){S[A]=x[L^w][A];for(var C=0;C<2;++C)S[M]=x[C^L^w][M],E.push(S.slice())}var P=y?5:4;for(L=P;L===P;++L){if(0===E.length)continue t;E=i.positive(E,T[L])}for(L=0;L<E.length;++L){M=E[L];var I=d(g,u,M,r,l);for(C=0;C<3;++C)_[C].lo=Math.min(_[C].lo,M[C]),_[C].hi=Math.max(_[C].hi,M[C]),C!==k&&(_[C].pixelsPerDataUnit=Math.min(_[C].pixelsPerDataUnit,Math.abs(I[C])))}}}}return _};var n=t(\"extract-frustum-planes\"),i=t(\"split-polygon\"),a=t(\"./lib/cube.js\"),o=t(\"gl-mat4/multiply\"),s=t(\"gl-mat4/transpose\"),l=t(\"gl-vec4/transformMat4\"),c=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),u=new Float32Array(16);function f(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var h=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,i){for(var a=0;a<3;++a){for(var o=h,s=p,c=0;c<3;++c)s[c]=o[c]=r[c];s[3]=o[3]=1,s[a]+=1,l(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,l(o,o,e),o[3]<0&&(t[a]=1/0);var u=(o[0]/o[3]-s[0]/s[3])*n,f=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(u*u+f*f)}return t}var m=[new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0)],g=[0,0,0]},{\"./lib/cube.js\":72,\"extract-frustum-planes\":67,\"gl-mat4/multiply\":100,\"gl-mat4/transpose\":109,\"gl-vec4/transformMat4\":221,\"split-polygon\":300}],78:[function(t,e,r){\"use strict\";var n=t(\"typedarray-pool\"),i=t(\"ndarray-ops\"),a=t(\"ndarray\"),o=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"];function s(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}var l=s.prototype;function c(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a<0)return t.bufferData(e,i,n),o;if(o+a>r)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,a,i),r}function u(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a<i;++a)r[a]=t[a];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if(\"number\"!=typeof e&&(e=-1),this.bind(),\"object\"==typeof t&&void 0!==t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r=\"float32\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER)r=gl.getExtension(\"OES_element_index_uint\")&&\"uint16\"!==r?\"uint32\":\"uint16\";if(r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=c(this.gl,this.type,this.length,this.usage,t.data,e):this.length=c(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=c(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?u(t,\"uint16\"):u(t,\"float32\"),this.length=c(this.gl,this.type,this.length,this.usage,e<0?f:f.subarray(0,t.length),e),n.free(f)}else if(\"object\"==typeof t&&\"number\"==typeof t.length)this.length=c(this.gl,this.type,this.length,this.usage,t,e);else{if(\"number\"!=typeof t&&void 0!==t)throw new Error(\"gl-buffer: Invalid data type\");if(e>=0)throw new Error(\"gl-buffer: Cannot specify offset when resizing buffer\");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},e.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error(\"gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER\");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error(\"gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW\");var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},{ndarray:259,\"ndarray-ops\":254,\"typedarray-pool\":308}],79:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\");e.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,c=1/0,u=-1/0,f=1/0,h=-1/0,p=null,d=null,m=[],g=1/0,v=!1,y=0;y<r.length;y++){var x=r[y];s=Math.min(x[0],s),l=Math.max(x[0],l),c=Math.min(x[1],c),u=Math.max(x[1],u),f=Math.min(x[2],f),h=Math.max(x[2],h);var b=i[y];if(n.length(b)>o&&(o=n.length(b)),y){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(g=Math.min(g,_),v=!1):v=!0}v||(p=x,d=b),m.push(b)}var w=[s,c,f],T=[l,u,h];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var k=1/o;isFinite(g)||(g=1),a.vectorScale=g;var A=t.coneSize||.5;t.absoluteConeSize&&(A=t.absoluteConeSize*k),a.coneScale=A;y=0;for(var M=0;y<r.length;y++)for(var S=(x=r[y])[0],E=x[1],L=x[2],C=m[y],P=n.length(C)*k,I=0;I<8;I++){a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vertexIntensity.push(P,P,P),a.vertexIntensity.push(P,P,P);var O=a.positions.length;a.cells.push([O-6,O-5,O-4],[O-3,O-2,O-1])}return a};var i=t(\"./lib/shaders\");e.exports.createMesh=t(\"./create_mesh\"),e.exports.createConeMesh=function(t,r){return e.exports.createMesh(t,r,{shaders:i,traceType:\"cone\"})}},{\"./create_mesh\":80,\"./lib/shaders\":81,\"gl-vec3\":169}],80:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"gl-mat4/multiply\"),l=t(\"gl-mat4/invert\"),c=t(\"ndarray\"),u=t(\"colormap\"),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e,r,n,i,a,o,s,l,c,u){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=i,this.triangleVectors=a,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=c,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=u,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=f,this._view=f,this._projection=f,this._resolution=[1,1]}var p=h.prototype;function d(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}function m(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),\"opacity\"in t&&(this.opacity=t.opacity),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=u({colormap:t,nshades:256,format:\"rgba\"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return c(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],f=[];this.cells=r,this.positions=n,this.vectors=i;var h=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,m=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],m=+t.vertexIntensityBounds[1];else for(var g=0;g<p.length;++g){var v=p[g];d=Math.min(d,v),m=Math.max(m,v)}else for(g=0;g<n.length;++g){v=n[g][2];d=Math.min(d,v),m=Math.max(m,v)}this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(g=0;g<n.length;++g)for(var y=n[g],x=0;x<3;++x)!isNaN(y[x])&&isFinite(y[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],y[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],y[x]));var b=0;t:for(g=0;g<r.length;++g){var _=r[g];switch(_.length){case 3:for(x=0;x<3;++x){y=n[T=_[x]];for(var w=0;w<3;++w)if(isNaN(y[w])||!isFinite(y[w]))continue t}for(x=0;x<3;++x){var T;y=n[T=_[2-x]];a.push(y[0],y[1],y[2],y[3]);var k=i[T];o.push(k[0],k[1],k[2],k[3]||0);var A,M=h;3===M.length?s.push(M[0],M[1],M[2],1):s.push(M[0],M[1],M[2],M[3]),A=p?[(p[T]-d)/(m-d),0]:[(y[2]-d)/(m-d),0],l.push(A[0],A[1]),f.push(g)}b+=1}}this.triangleCount=b,this.trianglePositions.update(a),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(f))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var c={model:r,view:n,projection:i,inverseModel:f.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};c.inverseModel=l(c.inverseModel,c.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);s(u,c.view,c.model),s(u,c.projection,u),l(u,u);for(o=0;o<3;++o)c.eyePosition[o]=u[12+o]/u[15];var h=u[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];c.lightPosition[o]=p/h}if(this.triangleCount>0){var m=this.triShader;m.bind(),m.uniforms=c,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return\"cone\"===this.traceType?i.index=Math.floor(r[1]/48):\"streamtube\"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},e.exports=function(t,e,r){var n=r.shaders;1===arguments.length&&(t=(e=t).gl);var s=d(t,n),l=m(t,n),u=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));u.generateMipmap(),u.minFilter=t.LINEAR_MIPMAP_LINEAR,u.magFilter=t.LINEAR;var f=i(t),p=i(t),g=i(t),v=i(t),y=i(t),x=a(t,[{buffer:f,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:g,type:t.FLOAT,size:4},{buffer:v,type:t.FLOAT,size:2},{buffer:p,type:t.FLOAT,size:4}]),b=new h(t,u,s,l,f,p,y,g,v,x,r.traceType||\"cone\");return b.update(e),b}},{colormap:53,\"gl-buffer\":78,\"gl-mat4/invert\":98,\"gl-mat4/multiply\":100,\"gl-shader\":132,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259}],81:[function(t,e,r){var n=t(\"glslify\"),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec3 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, coneScale, coneOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * conePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\\n  vec4 t_position  = view * conePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = conePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float vectorScale, coneScale, coneOffset;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n  gl_Position = projection * view * conePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec3\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec3\"}]}},{glslify:231}],82:[function(t,e,r){e.exports={0:\"NONE\",1:\"ONE\",2:\"LINE_LOOP\",3:\"LINE_STRIP\",4:\"TRIANGLES\",5:\"TRIANGLE_STRIP\",6:\"TRIANGLE_FAN\",256:\"DEPTH_BUFFER_BIT\",512:\"NEVER\",513:\"LESS\",514:\"EQUAL\",515:\"LEQUAL\",516:\"GREATER\",517:\"NOTEQUAL\",518:\"GEQUAL\",519:\"ALWAYS\",768:\"SRC_COLOR\",769:\"ONE_MINUS_SRC_COLOR\",770:\"SRC_ALPHA\",771:\"ONE_MINUS_SRC_ALPHA\",772:\"DST_ALPHA\",773:\"ONE_MINUS_DST_ALPHA\",774:\"DST_COLOR\",775:\"ONE_MINUS_DST_COLOR\",776:\"SRC_ALPHA_SATURATE\",1024:\"STENCIL_BUFFER_BIT\",1028:\"FRONT\",1029:\"BACK\",1032:\"FRONT_AND_BACK\",1280:\"INVALID_ENUM\",1281:\"INVALID_VALUE\",1282:\"INVALID_OPERATION\",1285:\"OUT_OF_MEMORY\",1286:\"INVALID_FRAMEBUFFER_OPERATION\",2304:\"CW\",2305:\"CCW\",2849:\"LINE_WIDTH\",2884:\"CULL_FACE\",2885:\"CULL_FACE_MODE\",2886:\"FRONT_FACE\",2928:\"DEPTH_RANGE\",2929:\"DEPTH_TEST\",2930:\"DEPTH_WRITEMASK\",2931:\"DEPTH_CLEAR_VALUE\",2932:\"DEPTH_FUNC\",2960:\"STENCIL_TEST\",2961:\"STENCIL_CLEAR_VALUE\",2962:\"STENCIL_FUNC\",2963:\"STENCIL_VALUE_MASK\",2964:\"STENCIL_FAIL\",2965:\"STENCIL_PASS_DEPTH_FAIL\",2966:\"STENCIL_PASS_DEPTH_PASS\",2967:\"STENCIL_REF\",2968:\"STENCIL_WRITEMASK\",2978:\"VIEWPORT\",3024:\"DITHER\",3042:\"BLEND\",3088:\"SCISSOR_BOX\",3089:\"SCISSOR_TEST\",3106:\"COLOR_CLEAR_VALUE\",3107:\"COLOR_WRITEMASK\",3317:\"UNPACK_ALIGNMENT\",3333:\"PACK_ALIGNMENT\",3379:\"MAX_TEXTURE_SIZE\",3386:\"MAX_VIEWPORT_DIMS\",3408:\"SUBPIXEL_BITS\",3410:\"RED_BITS\",3411:\"GREEN_BITS\",3412:\"BLUE_BITS\",3413:\"ALPHA_BITS\",3414:\"DEPTH_BITS\",3415:\"STENCIL_BITS\",3553:\"TEXTURE_2D\",4352:\"DONT_CARE\",4353:\"FASTEST\",4354:\"NICEST\",5120:\"BYTE\",5121:\"UNSIGNED_BYTE\",5122:\"SHORT\",5123:\"UNSIGNED_SHORT\",5124:\"INT\",5125:\"UNSIGNED_INT\",5126:\"FLOAT\",5386:\"INVERT\",5890:\"TEXTURE\",6401:\"STENCIL_INDEX\",6402:\"DEPTH_COMPONENT\",6406:\"ALPHA\",6407:\"RGB\",6408:\"RGBA\",6409:\"LUMINANCE\",6410:\"LUMINANCE_ALPHA\",7680:\"KEEP\",7681:\"REPLACE\",7682:\"INCR\",7683:\"DECR\",7936:\"VENDOR\",7937:\"RENDERER\",7938:\"VERSION\",9728:\"NEAREST\",9729:\"LINEAR\",9984:\"NEAREST_MIPMAP_NEAREST\",9985:\"LINEAR_MIPMAP_NEAREST\",9986:\"NEAREST_MIPMAP_LINEAR\",9987:\"LINEAR_MIPMAP_LINEAR\",10240:\"TEXTURE_MAG_FILTER\",10241:\"TEXTURE_MIN_FILTER\",10242:\"TEXTURE_WRAP_S\",10243:\"TEXTURE_WRAP_T\",10497:\"REPEAT\",10752:\"POLYGON_OFFSET_UNITS\",16384:\"COLOR_BUFFER_BIT\",32769:\"CONSTANT_COLOR\",32770:\"ONE_MINUS_CONSTANT_COLOR\",32771:\"CONSTANT_ALPHA\",32772:\"ONE_MINUS_CONSTANT_ALPHA\",32773:\"BLEND_COLOR\",32774:\"FUNC_ADD\",32777:\"BLEND_EQUATION_RGB\",32778:\"FUNC_SUBTRACT\",32779:\"FUNC_REVERSE_SUBTRACT\",32819:\"UNSIGNED_SHORT_4_4_4_4\",32820:\"UNSIGNED_SHORT_5_5_5_1\",32823:\"POLYGON_OFFSET_FILL\",32824:\"POLYGON_OFFSET_FACTOR\",32854:\"RGBA4\",32855:\"RGB5_A1\",32873:\"TEXTURE_BINDING_2D\",32926:\"SAMPLE_ALPHA_TO_COVERAGE\",32928:\"SAMPLE_COVERAGE\",32936:\"SAMPLE_BUFFERS\",32937:\"SAMPLES\",32938:\"SAMPLE_COVERAGE_VALUE\",32939:\"SAMPLE_COVERAGE_INVERT\",32968:\"BLEND_DST_RGB\",32969:\"BLEND_SRC_RGB\",32970:\"BLEND_DST_ALPHA\",32971:\"BLEND_SRC_ALPHA\",33071:\"CLAMP_TO_EDGE\",33170:\"GENERATE_MIPMAP_HINT\",33189:\"DEPTH_COMPONENT16\",33306:\"DEPTH_STENCIL_ATTACHMENT\",33635:\"UNSIGNED_SHORT_5_6_5\",33648:\"MIRRORED_REPEAT\",33901:\"ALIASED_POINT_SIZE_RANGE\",33902:\"ALIASED_LINE_WIDTH_RANGE\",33984:\"TEXTURE0\",33985:\"TEXTURE1\",33986:\"TEXTURE2\",33987:\"TEXTURE3\",33988:\"TEXTURE4\",33989:\"TEXTURE5\",33990:\"TEXTURE6\",33991:\"TEXTURE7\",33992:\"TEXTURE8\",33993:\"TEXTURE9\",33994:\"TEXTURE10\",33995:\"TEXTURE11\",33996:\"TEXTURE12\",33997:\"TEXTURE13\",33998:\"TEXTURE14\",33999:\"TEXTURE15\",34e3:\"TEXTURE16\",34001:\"TEXTURE17\",34002:\"TEXTURE18\",34003:\"TEXTURE19\",34004:\"TEXTURE20\",34005:\"TEXTURE21\",34006:\"TEXTURE22\",34007:\"TEXTURE23\",34008:\"TEXTURE24\",34009:\"TEXTURE25\",34010:\"TEXTURE26\",34011:\"TEXTURE27\",34012:\"TEXTURE28\",34013:\"TEXTURE29\",34014:\"TEXTURE30\",34015:\"TEXTURE31\",34016:\"ACTIVE_TEXTURE\",34024:\"MAX_RENDERBUFFER_SIZE\",34041:\"DEPTH_STENCIL\",34055:\"INCR_WRAP\",34056:\"DECR_WRAP\",34067:\"TEXTURE_CUBE_MAP\",34068:\"TEXTURE_BINDING_CUBE_MAP\",34069:\"TEXTURE_CUBE_MAP_POSITIVE_X\",34070:\"TEXTURE_CUBE_MAP_NEGATIVE_X\",34071:\"TEXTURE_CUBE_MAP_POSITIVE_Y\",34072:\"TEXTURE_CUBE_MAP_NEGATIVE_Y\",34073:\"TEXTURE_CUBE_MAP_POSITIVE_Z\",34074:\"TEXTURE_CUBE_MAP_NEGATIVE_Z\",34076:\"MAX_CUBE_MAP_TEXTURE_SIZE\",34338:\"VERTEX_ATTRIB_ARRAY_ENABLED\",34339:\"VERTEX_ATTRIB_ARRAY_SIZE\",34340:\"VERTEX_ATTRIB_ARRAY_STRIDE\",34341:\"VERTEX_ATTRIB_ARRAY_TYPE\",34342:\"CURRENT_VERTEX_ATTRIB\",34373:\"VERTEX_ATTRIB_ARRAY_POINTER\",34466:\"NUM_COMPRESSED_TEXTURE_FORM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t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function d(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var d=0;d<i;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var m=this,g=[0|e,0|r];Object.defineProperties(g,{0:{get:function(){return m._shape[0]},set:function(t){return m.width=t}},1:{get:function(){return m._shape[1]},set:function(t){return m.height=t}}}),this._shapeVector=g,function(t){var e=c(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),i=t._shape[0],a=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,m=t._useDepth,g=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var v=0;v<o;++v)t.color[v]=h(r,i,a,g,r.RGBA,r.COLOR_ATTACHMENT0+v);0===o?(t._color_rb=p(r,i,a,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var y=r.getExtension(\"WEBGL_depth_texture\");y?d?t.depth=h(r,i,a,y.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):m&&(t.depth=h(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):m&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):m?t._depth_rb=p(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null);for(v=0;v<t.color.length;++v)t.color[v].dispose(),t.color[v]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),u(r,e),f(x)}u(r,e)}(this)}var m=d.prototype;function g(t,e,r){if(t._destroyed)throw new Error(\"gl-fbo: Can't resize destroyed FBO\");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,i=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var a=c(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),u(n,a),f(s)),u(n,a)}}Object.defineProperties(m,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error(\"gl-fbo: Shape vector must be length 2\");var e=0|t[0],r=0|t[1];return g(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return g(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,g(this,this._shape[0],t),t},enumerable:!1}}),m.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},m.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},{\"gl-texture2d\":146}],87:[function(t,e,r){var n=t(\"sprintf-js\").sprintf,i=t(\"gl-constants/lookup\"),a=t(\"glsl-shader-name\"),o=t(\"add-line-numbers\");e.exports=function(t,e,r){\"use strict\";var s=a(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==r&&(l=r===i.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var c=n(\"Error compiling %s shader %s:\\n\",l,s),u=n(\"%s%s\",c,t),f=t.split(\"\\n\"),h={},p=0;p<f.length;p++){var d=f[p];if(\"\"!==d&&\"\\0\"!==d){var m=parseInt(d.split(\":\")[2]);if(isNaN(m))throw new Error(n(\"Could not parse error: %s\",d));h[m]=d}}var g=o(e).split(\"\\n\");for(p=0;p<g.length;p++)if(h[p+3]||h[p+2]||h[p+1]){var v=g[p];if(c+=v+\"\\n\",h[p+1]){var y=h[p+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),c+=n(\"^^^ %s\\n\\n\",y)}}return{long:c.trim(),short:u.trim()}}},{\"add-line-numbers\":9,\"gl-constants/lookup\":83,\"glsl-shader-name\":223,\"sprintf-js\":301}],88:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=t.gl,n=o(r,l.vertex,l.fragment),i=o(r,l.pickVertex,l.pickFragment),a=s(r),u=s(r),f=s(r),h=s(r),p=new c(t,n,i,a,u,f,h);return p.update(e),t.addObject(p),p};var n=t(\"binary-search-bounds\"),i=t(\"iota-array\"),a=t(\"typedarray-pool\"),o=t(\"gl-shader\"),s=t(\"gl-buffer\"),l=t(\"./lib/shaders\");function c(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var u,f=c.prototype,h=[0,0,1,0,0,1,1,0,1,1,0,1];f.draw=(u=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var i=t.gl,a=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=a[2]-a[0],c=a[3]-a[1];u[0]=2*o/l,u[4]=2*s/c,u[6]=2*(r[0]-a[0])/l-1,u[7]=2*(r[1]-a[1])/c-1,e.bind();var f=e.uniforms;f.viewTransform=u,f.shape=this.shape;var h=e.attributes;this.positionBuffer.bind(),h.position.pointer(),this.weightBuffer.bind(),h.weight.pointer(i.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),h.color.pointer(i.UNSIGNED_BYTE,!0),i.drawArrays(i.TRIANGLES,0,n)}}),f.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,c=a[2]-a[0],u=a[3]-a[1],f=l[2]-l[0],h=l[3]-l[1];t[0]=2*c/f,t[4]=2*u/h,t[6]=2*(a[0]-l[0])/f-1,t[7]=2*(a[1]-l[1])/h-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var m=i.attributes;return this.positionBuffer.bind(),m.position.pointer(),this.weightBuffer.bind(),m.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),m.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r<n||r>=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},f.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var c,u,f,p,d=t.colorLevels||[0],m=t.colorValues||[0,0,0,1],g=d.length,v=this.bounds;l?(c=v[0]=r[0],u=v[1]=o[0],f=v[2]=r[r.length-1],p=v[3]=o[o.length-1]):(c=v[0]=r[0]+(r[1]-r[0])/2,u=v[1]=o[0]+(o[1]-o[0])/2,f=v[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=v[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var y=1/(f-c),x=1/(p-u),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(h.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),A=a.mallocUint8(2*w),M=a.mallocUint32(w),S=0,E=l?b-1:b,L=l?_-1:_,C=0;C<L;++C){var P,I;l?(P=x*(o[C]-u),I=x*(o[C+1]-u)):(P=C<_-1?x*(o[C]-(o[C+1]-o[C])/2-u):x*(o[C]-(o[C]-o[C-1])/2-u),I=C<_-1?x*(o[C]+(o[C+1]-o[C])/2-u):x*(o[C]+(o[C]-o[C-1])/2-u));for(var O=0;O<E;++O){var z,D;l?(z=y*(r[O]-c),D=y*(r[O+1]-c)):(z=O<b-1?y*(r[O]-(r[O+1]-r[O])/2-c):y*(r[O]-(r[O]-r[O-1])/2-c),D=O<b-1?y*(r[O]+(r[O+1]-r[O])/2-c):y*(r[O]+(r[O]-r[O-1])/2-c));for(var R=0;R<h.length;R+=2){var F,B,N,j,U=h[R],V=h[R+1],H=s[l?(C+V)*b+(O+U):C*b+O],q=n.le(d,H);if(q<0)F=m[0],B=m[1],N=m[2],j=m[3];else if(q===g-1)F=m[4*g-4],B=m[4*g-3],N=m[4*g-2],j=m[4*g-1];else{var G=(H-d[q])/(d[q+1]-d[q]),Y=1-G,W=4*q,Z=4*(q+1);F=Y*m[W]+G*m[Z],B=Y*m[W+1]+G*m[Z+1],N=Y*m[W+2]+G*m[Z+2],j=Y*m[W+3]+G*m[Z+3]}T[4*S]=255*F,T[4*S+1]=255*B,T[4*S+2]=255*N,T[4*S+3]=255*j,k[2*S]=.5*z+.5*D,k[2*S+1]=.5*P+.5*I,A[2*S]=U,A[2*S+1]=V,M[S]=C*b+O,S+=1}}}this.positionBuffer.update(k),this.weightBuffer.update(A),this.colorBuffer.update(T),this.idBuffer.update(M),a.free(k),a.free(T),a.free(A),a.free(M)},f.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},{\"./lib/shaders\":89,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-shader\":132,\"iota-array\":235,\"typedarray-pool\":308}],89:[function(t,e,r){\"use strict\";var n=t(\"glslify\");e.exports={fragment:n([\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\\n}\\n\"]),vertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 color;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  fragColor = color;\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"]),pickFragment:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nuniform vec2 shape;\\nuniform vec4 pickOffset;\\n\\nvoid main() {\\n  vec2 d = step(.5, vWeight);\\n  vec4 id = fragId + pickOffset;\\n  id.x += d.x + d.y*shape.x;\\n\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  gl_FragColor = id/255.;\\n}\\n\"]),pickVertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nvoid main() {\\n  vWeight = weight;\\n\\n  fragId = pickId;\\n\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"])}},{glslify:231}],90:[function(t,e,r){var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, nextPosition;\\nattribute float arcLength, lineWidth;\\nattribute vec4 color;\\n\\nuniform vec2 screenShape;\\nuniform float pixelRatio;\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 fragColor;\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  vec4 startPoint = project(position);\\n  vec4 endPoint   = project(nextPosition);\\n\\n  vec2 A = startPoint.xy / startPoint.w;\\n  vec2 B =   endPoint.xy /   endPoint.w;\\n\\n  float clipAngle = atan(\\n    (B.y - A.y) * screenShape.y,\\n    (B.x - A.x) * screenShape.x\\n  );\\n\\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\\n    sin(clipAngle),\\n    -cos(clipAngle)\\n  ) / screenShape;\\n\\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\\n\\n  worldPosition = position;\\n  pixelArcLength = arcLength;\\n  fragColor = color;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3      clipBounds[2];\\nuniform sampler2D dashTexture;\\nuniform float     dashScale;\\nuniform float     opacity;\\n\\nvarying vec3    worldPosition;\\nvarying float   pixelArcLength;\\nvarying vec4    fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n  if(dashWeight < 0.5) {\\n    discard;\\n  }\\n  gl_FragColor = fragColor * opacity;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX  1.70141184e38\\n#define FLOAT_MIN  1.17549435e-38\\n\\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\\nvec4 packFloat(float v) {\\n  float av = abs(v);\\n\\n  //Handle special cases\\n  if(av < FLOAT_MIN) {\\n    return vec4(0.0, 0.0, 0.0, 0.0);\\n  } else if(v > FLOAT_MAX) {\\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n  } else if(v < -FLOAT_MAX) {\\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\\n  }\\n\\n  vec4 c = vec4(0,0,0,0);\\n\\n  //Compute exponent and mantissa\\n  float e = floor(log2(av));\\n  float m = av * pow(2.0, -e) - 1.0;\\n\\n  //Unpack mantissa\\n  c[1] = floor(128.0 * m);\\n  m -= c[1] / 128.0;\\n  c[2] = floor(32768.0 * m);\\n  m -= c[2] / 32768.0;\\n  c[3] = floor(8388608.0 * m);\\n\\n  //Unpack exponent\\n  float ebias = e + 127.0;\\n  c[0] = floor(ebias / 2.0);\\n  ebias -= c[0] * 2.0;\\n  c[1] += floor(ebias) * 128.0;\\n\\n  //Unpack sign bit\\n  c[0] += 128.0 * step(0.0, -v);\\n\\n  //Scale back to range\\n  return c / 255.0;\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\\n\\n  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\\n}\"]),l=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];r.createShader=function(t){return i(t,a,o,null,l)},r.createPickShader=function(t){return i(t,a,s,null,l)}},{\"gl-shader\":132,glslify:231}],91:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=f(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=h(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),u=c(new Array(1024),[256,1,4]),p=0;p<1024;++p)u.data[p]=255;var d=a(e,u);d.wrap=e.REPEAT;var m=new v(e,r,o,s,l,d);return m.update(t),m};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"gl-texture2d\"),o=new Uint8Array(4),s=new Float32Array(o.buffer);var l=t(\"binary-search-bounds\"),c=t(\"ndarray\"),u=t(\"./lib/shaders\"),f=u.createShader,h=u.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function m(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function g(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function v(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var y=v.prototype;y.isTransparent=function(){return this.hasAlpha},y.isOpaque=function(){return!this.hasAlpha},y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.drawTransparent=y.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,clipBounds:m(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,pickId:this.pickId,clipBounds:m(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.update=function(t){var e,r;this.dirty=!0;var n=!!t.connectGaps;\"dashScale\"in t&&(this.dashScale=t.dashScale),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var i=[],a=[],o=[],s=0,u=0,f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],h=t.position||t.positions;if(h){var p=t.color||t.colors||[0,0,0,1],m=t.lineWidth||1,g=!1;t:for(e=1;e<h.length;++e){var v,y,x,b=h[e-1],_=h[e];for(a.push(s),o.push(b.slice()),r=0;r<3;++r){if(isNaN(b[r])||isNaN(_[r])||!isFinite(b[r])||!isFinite(_[r])){if(!n&&i.length>0){for(var w=0;w<24;++w)i.push(i[i.length-12]);u+=2,g=!0}continue t}f[0][r]=Math.min(f[0][r],b[r],_[r]),f[1][r]=Math.max(f[1][r],b[r],_[r])}Array.isArray(p[0])?(v=p.length>e-1?p[e-1]:p.length>0?p[p.length-1]:[0,0,0,1],y=p.length>e?p[e]:p.length>0?p[p.length-1]:[0,0,0,1]):v=y=p,3===v.length&&(v=[v[0],v[1],v[2],1]),3===y.length&&(y=[y[0],y[1],y[2],1]),!this.hasAlpha&&v[3]<1&&(this.hasAlpha=!0),x=Array.isArray(m)?m.length>e-1?m[e-1]:m.length>0?m[m.length-1]:[0,0,0,1]:m;var T=s;if(s+=d(b,_),g){for(r=0;r<2;++r)i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,v[0],v[1],v[2],v[3]);u+=2,g=!1}i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,v[0],v[1],v[2],v[3],b[0],b[1],b[2],_[0],_[1],_[2],T,-x,v[0],v[1],v[2],v[3],_[0],_[1],_[2],b[0],b[1],b[2],s,-x,y[0],y[1],y[2],y[3],_[0],_[1],_[2],b[0],b[1],b[2],s,x,y[0],y[1],y[2],y[3]),u+=4}}if(this.buffer.update(i),a.push(s),o.push(h[h.length-1].slice()),this.bounds=f,this.vertexCount=u,this.points=o,this.arcLength=a,\"dashes\"in t){var k=t.dashes.slice();for(k.unshift(0),e=1;e<k.length;++e)k[e]=k[e-1]+k[e];var A=c(new Array(1024),[256,1,4]);for(e=0;e<256;++e){for(r=0;r<4;++r)A.set(e,0,r,0);1&l.le(k,k[k.length-1]*e/255)?A.set(e,0,0,0):A.set(e,0,0,255)}this.texture.setPixels(A)}},y.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()},y.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=function(t,e,r,n){return o[0]=n,o[1]=r,o[2]=e,o[3]=t,s[0]}(t.value[0],t.value[1],t.value[2],0),r=l.le(this.arcLength,e);if(r<0)return null;if(r===this.arcLength.length-1)return new g(this.arcLength[this.arcLength.length-1],this.points[this.points.length-1].slice(),r);for(var n=this.points[r],i=this.points[Math.min(r+1,this.points.length-1)],a=(e-this.arcLength[r])/(this.arcLength[r+1]-this.arcLength[r]),c=1-a,u=[0,0,0],f=0;f<3;++f)u[f]=c*n[f]+a*i[f];var h=Math.min(a<.5?r:r+1,this.points.length-1);return new g(e,u,h,this.points[h])}},{\"./lib/shaders\":90,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259}],92:[function(t,e,r){e.exports=function(t){var e=new Float32Array(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e}},{}],93:[function(t,e,r){e.exports=function(){var t=new Float32Array(16);return 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t[0]=1-(p+m),t[1]=f+y,t[2]=h-v,t[3]=0,t[4]=f-y,t[5]=1-(u+m),t[6]=d+g,t[7]=0,t[8]=h+v,t[9]=d-g,t[10]=1-(u+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},{}],97:[function(t,e,r){e.exports=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],98:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],c=e[7],u=e[8],f=e[9],h=e[10],p=e[11],d=e[12],m=e[13],g=e[14],v=e[15],y=r*s-n*o,x=r*l-i*o,b=r*c-a*o,_=n*l-i*s,w=n*c-a*s,T=i*c-a*l,k=u*m-f*d,A=u*g-h*d,M=u*v-p*d,S=f*g-h*m,E=f*v-p*m,L=h*v-p*g,C=y*L-x*E+b*S+_*M-w*A+T*k;if(!C)return null;return C=1/C,t[0]=(s*L-l*E+c*S)*C,t[1]=(i*E-n*L-a*S)*C,t[2]=(m*T-g*w+v*_)*C,t[3]=(h*w-f*T-p*_)*C,t[4]=(l*M-o*L-c*A)*C,t[5]=(r*L-i*M+a*A)*C,t[6]=(g*b-d*T-v*x)*C,t[7]=(u*T-h*b+p*x)*C,t[8]=(o*E-s*M+c*k)*C,t[9]=(n*M-r*E-a*k)*C,t[10]=(d*w-m*b+v*y)*C,t[11]=(f*b-u*w-p*y)*C,t[12]=(s*A-o*S-l*k)*C,t[13]=(r*S-n*A+i*k)*C,t[14]=(m*x-d*_-g*y)*C,t[15]=(u*_-f*x+h*y)*C,t}},{}],99:[function(t,e,r){var n=t(\"./identity\");e.exports=function(t,e,r,i){var a,o,s,l,c,u,f,h,p,d,m=e[0],g=e[1],v=e[2],y=i[0],x=i[1],b=i[2],_=r[0],w=r[1],T=r[2];if(Math.abs(m-_)<1e-6&&Math.abs(g-w)<1e-6&&Math.abs(v-T)<1e-6)return n(t);f=m-_,h=g-w,p=v-T,d=1/Math.sqrt(f*f+h*h+p*p),a=x*(p*=d)-b*(h*=d),o=b*(f*=d)-y*p,s=y*h-x*f,(d=Math.sqrt(a*a+o*o+s*s))?(a*=d=1/d,o*=d,s*=d):(a=0,o=0,s=0);l=h*s-p*o,c=p*a-f*s,u=f*o-h*a,(d=Math.sqrt(l*l+c*c+u*u))?(l*=d=1/d,c*=d,u*=d):(l=0,c=0,u=0);return t[0]=a,t[1]=l,t[2]=f,t[3]=0,t[4]=o,t[5]=c,t[6]=h,t[7]=0,t[8]=s,t[9]=u,t[10]=p,t[11]=0,t[12]=-(a*m+o*g+s*v),t[13]=-(l*m+c*g+u*v),t[14]=-(f*m+h*g+p*v),t[15]=1,t}},{\"./identity\":97}],100:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],m=e[12],g=e[13],v=e[14],y=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*f+w*m,t[1]=x*i+b*l+_*h+w*g,t[2]=x*a+b*c+_*p+w*v,t[3]=x*o+b*u+_*d+w*y,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*f+w*m,t[5]=x*i+b*l+_*h+w*g,t[6]=x*a+b*c+_*p+w*v,t[7]=x*o+b*u+_*d+w*y,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*f+w*m,t[9]=x*i+b*l+_*h+w*g,t[10]=x*a+b*c+_*p+w*v,t[11]=x*o+b*u+_*d+w*y,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*f+w*m,t[13]=x*i+b*l+_*h+w*g,t[14]=x*a+b*c+_*p+w*v,t[15]=x*o+b*u+_*d+w*y,t}},{}],101:[function(t,e,r){e.exports=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t}},{}],102:[function(t,e,r){e.exports=function(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}},{}],103:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,A,M,S,E=n[0],L=n[1],C=n[2],P=Math.sqrt(E*E+L*L+C*C);if(Math.abs(P)<1e-6)return null;E*=P=1/P,L*=P,C*=P,i=Math.sin(r),a=Math.cos(r),o=1-a,s=e[0],l=e[1],c=e[2],u=e[3],f=e[4],h=e[5],p=e[6],d=e[7],m=e[8],g=e[9],v=e[10],y=e[11],x=E*E*o+a,b=L*E*o+C*i,_=C*E*o-L*i,w=E*L*o-C*i,T=L*L*o+a,k=C*L*o+E*i,A=E*C*o+L*i,M=L*C*o-E*i,S=C*C*o+a,t[0]=s*x+f*b+m*_,t[1]=l*x+h*b+g*_,t[2]=c*x+p*b+v*_,t[3]=u*x+d*b+y*_,t[4]=s*w+f*T+m*k,t[5]=l*w+h*T+g*k,t[6]=c*w+p*T+v*k,t[7]=u*w+d*T+y*k,t[8]=s*A+f*M+m*S,t[9]=l*A+h*M+g*S,t[10]=c*A+p*M+v*S,t[11]=u*A+d*M+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t}},{}],104:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[4]=a*i+c*n,t[5]=o*i+u*n,t[6]=s*i+f*n,t[7]=l*i+h*n,t[8]=c*i-a*n,t[9]=u*i-o*n,t[10]=f*i-s*n,t[11]=h*i-l*n,t}},{}],105:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i-c*n,t[1]=o*i-u*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+c*i,t[9]=o*n+u*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}},{}],106:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[4],u=e[5],f=e[6],h=e[7];e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i+c*n,t[1]=o*i+u*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=c*i-a*n,t[5]=u*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}},{}],107:[function(t,e,r){e.exports=function(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},{}],108:[function(t,e,r){e.exports=function(t,e,r){var n,i,a,o,s,l,c,u,f,h,p,d,m=r[0],g=r[1],v=r[2];e===t?(t[12]=e[0]*m+e[4]*g+e[8]*v+e[12],t[13]=e[1]*m+e[5]*g+e[9]*v+e[13],t[14]=e[2]*m+e[6]*g+e[10]*v+e[14],t[15]=e[3]*m+e[7]*g+e[11]*v+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=c,t[7]=u,t[8]=f,t[9]=h,t[10]=p,t[11]=d,t[12]=n*m+s*g+f*v+e[12],t[13]=i*m+l*g+h*v+e[13],t[14]=a*m+c*g+p*v+e[14],t[15]=o*m+u*g+d*v+e[15]);return t}},{}],109:[function(t,e,r){e.exports=function(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},{}],110:[function(t,e,r){\"use strict\";var n=t(\"barycentric\"),i=t(\"polytope-closest-point/lib/closest_point_2d.js\");function a(t,e){for(var r=[0,0,0,0],n=0;n<4;++n)for(var i=0;i<4;++i)r[i]+=t[4*n+i]*e[n];return r}function o(t,e,r,n,i){for(var o=a(n,a(r,a(e,[t[0],t[1],t[2],1]))),s=0;s<3;++s)o[s]/=o[3];return[.5*i[0]*(1+o[0]),.5*i[1]*(1-o[1])]}function s(t,e){for(var r=[0,0,0],n=0;n<t.length;++n)for(var i=t[n],a=e[n],o=0;o<3;++o)r[o]+=a*i[o];return r}e.exports=function(t,e,r,a,l,c){if(1===t.length)return[0,t[0].slice()];for(var u=new Array(t.length),f=0;f<t.length;++f)u[f]=o(t[f],r,a,l,c);var h=0,p=1/0;for(f=0;f<u.length;++f){for(var d=0,m=0;m<2;++m)d+=Math.pow(u[f][m]-e[m],2);d<p&&(p=d,h=f)}var g=function(t,e){if(2===t.length){for(var r=0,a=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),a+=Math.pow(e[o]-t[1][o],2);return r=Math.sqrt(r),a=Math.sqrt(a),r+a<1e-6?[1,0]:[a/(r+a),r/(a+r)]}if(3===t.length){var s=[0,0];return i(t[0],t[1],t[2],e,s),n(t,s)}return[]}(u,e),v=0;for(f=0;f<3;++f){if(g[f]<-.001||g[f]>1.0001)return null;v+=g[f]}if(Math.abs(v-1)>.001)return null;return[h,s(t,g),g]}},{barycentric:14,\"polytope-closest-point/lib/closest_point_2d.js\":270}],111:[function(t,e,r){var n=t(\"glslify\"),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, normal;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model\\n           , view\\n           , projection\\n           , inverseModel;\\nuniform vec3 eyePosition\\n           , lightPosition;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  gl_Position      = project(position);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  f_color          = color;\\n  f_data           = position;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n            , fresnel\\n            , kambient\\n            , kdiffuse\\n            , kspecular;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (f_color.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\\n  ) discard;\\n\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\\n\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * f_color.a;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_color = color;\\n  f_data  = position;\\n  f_uv    = uv;\\n}\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\n\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\nattribute float pointSize;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\\n  } else {\\n    gl_Position = projection * view * model * vec4(position, 1.0);\\n  }\\n  gl_PointSize = pointSize;\\n  f_color = color;\\n  f_uv = uv;\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\\n  if(dot(pointR, pointR) > 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_id        = id;\\n  f_position  = position;\\n}\"]),f=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]),h=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3  position;\\nattribute float pointSize;\\nattribute vec4  id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\\n  } else {\\n    gl_Position  = projection * view * model * vec4(position, 1.0);\\n    gl_PointSize = pointSize;\\n  }\\n  f_id         = id;\\n  f_position   = position;\\n}\"]),p=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n}\"]),d=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec3 contourColor;\\n\\nvoid main() {\\n  gl_FragColor = vec4(contourColor, 1.0);\\n}\\n\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.wireShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.pointShader={vertex:l,fragment:c,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},r.pickShader={vertex:u,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},r.pointPickShader={vertex:h,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},r.contourShader={vertex:p,fragment:d,attributes:[{name:\"position\",type:\"vec3\"}]}},{glslify:231}],112:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"normals\"),l=t(\"gl-mat4/multiply\"),c=t(\"gl-mat4/invert\"),u=t(\"ndarray\"),f=t(\"colormap\"),h=t(\"simplicial-complex-contour\"),p=t(\"typedarray-pool\"),d=t(\"./lib/shaders\"),m=t(\"./lib/closest-point\"),g=d.meshShader,v=d.wireShader,y=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,T,k,A,M,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=u,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=c,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=g,this.edgeUVs=v,this.edgeIds=m,this.edgeVAO=y,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function A(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function M(t){var e=n(t,g.vertex,g.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}function S(t){var e=n(t,v.vertex,v.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}function E(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function C(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function P(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var c=r[l],u=0;u<2;++u){var f=c[0];2===c.length&&(f=c[u]);for(var d=n[f][0],m=n[f][1],g=i[f],v=1-g,y=this.positions[d],x=this.positions[m],b=0;b<3;++b)o[s++]=g*y[b]+v*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},k.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"contourEnable\"in t&&(this.contourEnable=t.contourEnable),\"contourColor\"in t&&(this.contourColor=t.contourColor),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=t.opacity,this.opacity<1&&(this.hasAlpha=!0)),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale,this.hasAlpha=!0),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t,e){for(var r=f({colormap:t,nshades:256,format:\"rgba\"}),n=new Uint8Array(1024),i=0;i<256;++i){for(var a=r[i],o=0;o<3;++o)n[4*i+o]=a[o];n[4*i+3]=e?255*A(i/255,e):255*a[3]}return u(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var i=[],a=[],l=[],c=[],h=[],p=[],d=[],m=[],g=[],v=[],y=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,M=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=s.faceNormals(r,n,M)),T||w||(w=s.vertexNormals(r,n,k));var S=t.vertexColors,E=t.cellColors,L=t.meshColor||[1,1,1,1],C=t.vertexUVs,P=t.vertexIntensity,I=t.cellUVs,O=t.cellIntensity,z=1/0,D=-1/0;if(!C&&!I)if(P)if(t.vertexIntensityBounds)z=+t.vertexIntensityBounds[0],D=+t.vertexIntensityBounds[1];else for(var R=0;R<P.length;++R){var F=P[R];z=Math.min(z,F),D=Math.max(D,F)}else if(O)if(t.cellIntensityBounds)z=+t.cellIntensityBounds[0],D=+t.cellIntensityBounds[1];else for(R=0;R<O.length;++R){F=O[R];z=Math.min(z,F),D=Math.max(D,F)}else for(R=0;R<n.length;++R){F=n[R][2];z=Math.min(z,F),D=Math.max(D,F)}this.intensity=P||(O||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n)),this.pickVertex=!(O||E);var B=t.pointSizes,N=t.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(R=0;R<n.length;++R)for(var j=n[R],U=0;U<3;++U)!isNaN(j[U])&&isFinite(j[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],j[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],j[U]));var V=0,H=0,q=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[W=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;v.push(j[0],j[1],j[2]),Z=S?S[W]:E?E[R]:L,this.opacityscale&&P?a.push(Z[0],Z[1],Z[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===Z.length?y.push(Z[0],Z[1],Z[2],this.opacity):(y.push(Z[0],Z[1],Z[2],Z[3]*this.opacity),Z[3]<1&&(this.hasAlpha=!0)),X=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],x.push(X[0],X[1]),B?b.push(B[W]):b.push(N),_.push(R),q+=1;break;case 2:for(U=0;U<2;++U){j=n[W=G[U]];for(var Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t}for(U=0;U<2;++U){j=n[W=G[U]];p.push(j[0],j[1],j[2]),Z=S?S[W]:E?E[R]:L,this.opacityscale&&P?a.push(Z[0],Z[1],Z[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===Z.length?d.push(Z[0],Z[1],Z[2],this.opacity):(d.push(Z[0],Z[1],Z[2],Z[3]*this.opacity),Z[3]<1&&(this.hasAlpha=!0)),X=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],m.push(X[0],X[1]),g.push(R)}H+=1;break;case 3:for(U=0;U<3;++U)for(j=n[W=G[U]],Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t;for(U=0;U<3;++U){var W,Z,X,J;j=n[W=G[2-U]];i.push(j[0],j[1],j[2]),(Z=S?S[W]:E?E[R]:L)?this.opacityscale&&P?a.push(Z[0],Z[1],Z[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===Z.length?a.push(Z[0],Z[1],Z[2],this.opacity):(a.push(Z[0],Z[1],Z[2],Z[3]*this.opacity),Z[3]<1&&(this.hasAlpha=!0)):a.push(.5,.5,.5,1),X=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],c.push(X[0],X[1]),J=w?w[W]:T[R],l.push(J[0],J[1],J[2]),h.push(R)}V+=1}}this.pointCount=q,this.edgeCount=H,this.triangleCount=V,this.pointPositions.update(v),this.pointColors.update(y),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(m),this.edgeIds.update(new Uint32Array(g)),this.trianglePositions.update(i),this.triangleColors.update(a),this.triangleUVs.update(c),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(h))}},k.drawTransparent=k.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,inverseModel:w.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=c(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);l(u,s.view,s.model),l(u,s.projection,u),c(u,u);for(o=0;o<3;++o)s.eyePosition[o]=u[12+o]/u[15];var f,h=u[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/h}this.triangleCount>0&&((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind());this.edgeCount>0&&this.lineWidth>0&&((f=this.lineShader).bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind());this.pointCount>0&&((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind());this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((f=this.contourShader).bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};((s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0)&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;a<r.length;++a)i[a]=n[r[a]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],c=this.positions[r[1]],u=this.positions[r[2]],f=[(l[0]+c[0]+u[0])/3,(l[1]+c[1]+u[1])/3,(l[2]+c[2]+u[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:f}}var h=m(i,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!h)return null;var p=h[2],d=0;for(a=0;a<r.length;++a)d+=p[a]*this.intensity[r[a]];return{position:h[1],index:r[h[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[h[0]]]}},k.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},e.exports=function(t,e){1===arguments.length&&(t=(e=t).gl);var r=t.getExtension(\"OES_standard_derivatives\")||t.getExtension(\"MOZ_OES_standard_derivatives\")||t.getExtension(\"WEBKIT_OES_standard_derivatives\");if(!r)throw new Error(\"derivatives not supported\");var n=M(t),s=S(t),l=E(t),c=L(t),f=C(t),h=P(t),p=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=i(t),m=i(t),g=i(t),v=i(t),y=i(t),x=a(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:m,type:t.FLOAT,size:4},{buffer:g,type:t.FLOAT,size:2},{buffer:v,type:t.FLOAT,size:3}]),b=i(t),_=i(t),w=i(t),k=i(t),A=a(t,[{buffer:b,type:t.FLOAT,size:3},{buffer:k,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:_,type:t.FLOAT,size:4},{buffer:w,type:t.FLOAT,size:2}]),I=i(t),O=i(t),z=i(t),D=i(t),R=i(t),F=a(t,[{buffer:I,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:O,type:t.FLOAT,size:4},{buffer:z,type:t.FLOAT,size:2},{buffer:D,type:t.FLOAT,size:1}]),B=i(t),N=a(t,[{buffer:B,type:t.FLOAT,size:3}]),j=new T(t,p,n,s,l,c,f,h,d,y,m,g,v,x,b,k,_,w,A,I,R,O,z,D,F,B,N);return j.update(e),j}},{\"./lib/closest-point\":110,\"./lib/shaders\":111,colormap:53,\"gl-buffer\":78,\"gl-mat4/invert\":98,\"gl-mat4/multiply\":100,\"gl-shader\":132,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259,normals:261,\"simplicial-complex-contour\":291,\"typedarray-pool\":308}],113:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[0,0,0,1,1,0,1,1]),s=i(e,a.boxVert,a.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"./shaders\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,i){var a=this.plot,o=this.shader,c=a.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=i,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":116,\"gl-buffer\":78,\"gl-shader\":132}],114:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),a=i(e,o.gridVert,o.gridFrag),l=i(e,o.tickVert,o.gridFrag);return new s(t,r,a,l)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"binary-search-bounds\"),o=t(\"./shaders\");function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var c,u,f,h,p,d=s.prototype;d.draw=(c=[0,0],u=[0,0],f=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,i=t.gl,a=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,h=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,m=0;m<2;++m){var g=a[m],v=a[m+2]-g,y=.5*(o[m+2]+o[m]),x=o[m+2]-o[m];u[m]=2*v/x,c[m]=2*(g-y)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=c,r.uniforms.dataScale=u;var b=0;for(m=0;m<2;++m){f[0]=f[1]=0,f[m]=1,r.uniforms.dataAxis=f,r.uniforms.lineWidth=l[m]/(s[m+2]-s[m])*d,r.uniforms.color=h[m];var _=6*n[m].length;p[m]&&_&&i.drawArrays(i.TRIANGLES,b,_),b+=_}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],i=[0,0],o=[0,0];return function(){for(var s=this.plot,c=this.vbo,u=this.tickShader,f=this.ticks,h=s.gl,p=s._tickBounds,d=s.dataBox,m=s.viewBox,g=s.pixelRatio,v=s.screenBox,y=v[2]-v[0],x=v[3]-v[1],b=m[2]-m[0],_=m[3]-m[1],w=0;w<2;++w){var T=p[w],k=p[w+2]-T,A=.5*(d[w+2]+d[w]),M=d[w+2]-d[w];e[w]=2*k/M,t[w]=2*(T-A)/M}e[0]*=b/y,t[0]*=b/y,e[1]*=_/x,t[1]*=_/x,u.bind(),c.bind(),u.attributes.dataCoord.pointer();var S=u.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,L=s.tickMarkWidth,C=s.tickMarkColor,P=6*f[0].length,I=Math.min(a.ge(f[0],(d[0]-p[0])/(p[2]-p[0]),l),f[0].length),O=Math.min(a.gt(f[0],(d[2]-p[0])/(p[2]-p[0]),l),f[0].length),z=0+6*I,D=6*Math.max(0,O-I),R=Math.min(a.ge(f[1],(d[1]-p[1])/(p[3]-p[1]),l),f[1].length),F=Math.min(a.gt(f[1],(d[3]-p[1])/(p[3]-p[1]),l),f[1].length),B=P+6*R,N=6*Math.max(0,F-R);i[0]=2*(m[0]-E[1])/y-1,i[1]=(m[3]+m[1])/x-1,o[0]=E[1]*g/y,o[1]=L[1]*g/x,N&&(S.color=C[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(m[2]+m[0])/y-1,i[1]=2*(m[1]-E[0])/x-1,o[0]=L[0]*g/y,o[1]=E[0]*g/x,D&&(S.color=C[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,z,D)),i[0]=2*(m[2]+E[3])/y-1,i[1]=(m[3]+m[1])/x-1,o[0]=E[3]*g/y,o[1]=L[3]*g/x,N&&(S.color=C[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(m[2]+m[0])/y-1,i[1]=2*(m[3]+E[2])/x-1,o[0]=L[2]*g/y,o[1]=E[2]*g/x,D&&(S.color=C[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,z,D))}}(),d.update=(h=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),i=(this.plot.zeroLineEnable,0),a=[[],[]],o=0;o<2;++o)for(var s=a[o],l=e[o],c=r[o],u=r[o+2],f=0;f<l.length;++f){var d=(l[f].x-c)/(u-c);s.push(d);for(var m=0;m<6;++m)n[i++]=d,n[i++]=h[m],n[i++]=p[m]}this.ticks=a,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},{\"./shaders\":116,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-shader\":132}],115:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[-1,-1,-1,1,1,-1,1,1]),s=i(e,a.lineVert,a.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"./shaders\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,i,a){var o=this.plot,c=this.shader,u=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,c.uniforms.start=s,c.uniforms.end=l,c.uniforms.width=i*o.pixelRatio,c.uniforms.color=a,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":116,\"gl-buffer\":78,\"gl-shader\":132}],116:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=n([\"precision lowp float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\\n}\\n\"]);e.exports={lineVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 start, end;\\nuniform float width;\\n\\nvec2 perp(vec2 v) {\\n  return vec2(v.y, -v.x);\\n}\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  vec2 delta = normalize(perp(start - end));\\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\\n}\\n\"]),lineFrag:i,textVert:n([\"#define GLSLIFY 1\\nattribute vec3 textCoordinate;\\n\\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\\nuniform float angle;\\n\\nvoid main() {\\n  float dataOffset  = textCoordinate.z;\\n  vec2 glyphOffset  = textCoordinate.xy;\\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\\n    glyphMatrix * glyphOffset * textScale + screenOffset;\\n  gl_Position = vec4(screenCoordinate, 0, 1);\\n}\\n\"]),textFrag:i,gridVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale;\\nuniform float lineWidth;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\\n  gl_Position = vec4(pos, 0, 1);\\n}\\n\"]),gridFrag:i,boxVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 lo, hi;\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\\n}\\n\"]),tickVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\\n}\\n\"])}},{glslify:231}],117:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),a=i(e,s.textVert,s.textFrag);return new l(t,r,a)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"text-cache\"),o=t(\"binary-search-bounds\"),s=t(\"./shaders\");function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var c,u,f,h,p,d,m=l.prototype;m.drawTicks=(c=[0,0],u=[0,0],f=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],i=this.tickOffset[t],a=e.gl,s=e.viewBox,l=e.dataBox,h=e.screenBox,p=e.pixelRatio,d=e.tickEnable,m=e.tickPad,g=e.tickColor,v=e.tickAngle,y=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],T=this.labelCount[t],k=o.lt(n,l[t]),A=o.le(n,l[t+2]);c[0]=c[1]=0,c[t]=1,u[t]=(s[2+t]+s[t])/(h[2+t]-h[t])-1;var M=2/h[2+(1^t)]-h[1^t];u[1^t]=M*s[1^t]-1,d[t]&&(u[1^t]-=M*p*m[t],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=g[t],r.uniforms.angle=v[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),y[t]&&T&&(u[1^t]-=M*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=u,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),u[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(u[1^t]+=M*p*m[t+2],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=g[t+2],r.uniforms.angle=v[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),y[t+2]&&T&&(u[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=u,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),m.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,c=r.pixelRatio;if(this.titleCount){for(var u=0;u<2;++u)e[u]=2*(o[u]*c-a[u])/(a[2+u]-a[u])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),m.bind=(h=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,c=.5*(n[o+2]+n[o]),u=n[o+2]-n[o],f=a[o],m=a[o+2]-f,g=i[o],v=i[o+2]-g;p[o]=2*l/u*m/v,h[o]=2*(s-c)/u*m/v}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=h,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),m.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,c=t.bounds;for(o=0;o<2;++o){var u=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e<h.length;++e){var p=h[e],d=p.x,m=p.text,g=p.font||\"sans-serif\";i=p.fontSize||12;for(var v=1/(c[o+2]-c[o]),y=c[o],x=m.split(\"\\n\"),b=0;b<x.length;b++)for(n=a(g,x[b]).data,r=0;r<n.length;r+=2)s.push(n[r]*i,-n[r+1]*i-b*i*1.2,(d-y)*v);u.push(Math.floor(s.length/3)),f.push(d)}this.tickOffset[o]=u,this.tickX[o]=f}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=a(t.labelFont[o],t.labels[o],{textAlign:\"center\"}).data,i=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=a(t.titleFont,t.title).data,i=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},m.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":116,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-shader\":132,\"text-cache\":303}],118:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[e.drawingBufferWidth,e.drawingBufferHeight]),c=new l(e,r);return c.grid=i(c),c.text=a(c),c.line=o(c),c.box=s(c),c.update(t),c};var n=t(\"gl-select-static\"),i=t(\"./lib/grid\"),a=t(\"./lib/text\"),o=t(\"./lib/line\"),s=t(\"./lib/box\");function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var c=l.prototype;function u(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function f(t,e){return t.x-e.x}c.setDirty=function(){this.dirty=this.pickDirty=!0},c.setOverlayDirty=function(){this.dirty=!0},c.nextDepthValue=function(){return this._depthCounter++/65536},c.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,i=this.pixelRatio,a=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var c=this.borderColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var u=this.backgroundColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var f=this.zeroLineEnable,h=this.zeroLineColor,p=this.zeroLineWidth;if(f[0]||f[1]){o.bind();for(var d=0;d<2;++d)if(f[d]&&n[d]<=0&&n[d+2]>=0){var m=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(m,e[1],m,e[3],p[d],h[d]):o.drawLine(e[0],m,e[2],m,p[d],h[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var g=this.borderLineEnable,v=this.borderLineWidth,y=this.borderLineColor;for(g[1]&&o.drawLine(r[0],r[1]-.5*v[1]*i,r[0],r[3]+.5*v[3]*i,v[1],y[1]),g[0]&&o.drawLine(r[0]-.5*v[0]*i,r[1],r[2]+.5*v[2]*i,r[1],v[0],y[0]),g[3]&&o.drawLine(r[2],r[1]-.5*v[1]*i,r[2],r[3]+.5*v[3]*i,v[3],y[3]),g[2]&&o.drawLine(r[0]-.5*v[0]*i,r[3],r[2]+.5*v[2]*i,r[3],v[2],y[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},c.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl,this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},c.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,i=this.viewBox,a=0|Math.round((t-i[0]/r)*n),o=0|Math.round((e-i[1]/r)*n),s=this.pickBuffer.query(a,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),c=this.objects,u=0;u<c.length;++u){var f=c[u].pick(a,o,l);if(f)return f}return null}},c.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},c.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},c.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},c.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]);this.screenBox;this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,i=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/i,10,10/i]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=u(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=u(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=u(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!(\"titleEnable\"in t)||!!t.titleEnable,this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=u(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=u(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=u(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var a=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=a[s].slice(0);0!==l.length&&(l.sort(f),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:a}),this.text.update({bounds:o,ticks:a,labels:t.labels||[\"x\",\"y\"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||[\"sans-serif\",\"sans-serif\"],title:t.title||\"\",titleSize:t.titleSize||18,titleFont:t.titleFont||\"sans-serif\"}),this.static=!!t.static,this.setDirty()},c.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();this.objects.length=0;for(t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},c.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},c.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},c.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},c.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},{\"./lib/box\":113,\"./lib/grid\":114,\"./lib/line\":115,\"./lib/text\":117,\"gl-select-static\":131}],119:[function(t,e,r){\"use strict\";e.exports=function(t,e){t=t||document.body,e=e||{};var r=[.01,1/0];\"distanceLimits\"in e&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]);\"zoomMin\"in e&&(r[0]=e.zoomMin);\"zoomMax\"in e&&(r[1]=e.zoomMax);var c=i({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||\"orbit\",distanceLimits:r}),u=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],f=0,h=t.clientWidth,p=t.clientHeight,d={keyBindingMode:\"rotate\",enableWheel:!0,view:c,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:c.modes,_ortho:e._ortho||e.projection&&\"orthographic\"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,i=e-2*r;c.idle(e-r),c.recalcMatrix(i),c.flush(e-(100+2*r));for(var a=!0,o=c.computedMatrix,s=0;s<16;++s)a=a&&u[s]===o[s],u[s]=o[s];var l=t.clientWidth===h&&t.clientHeight===p;return h=t.clientWidth,p=t.clientHeight,a?!l:(f=Math.exp(c.computedRadius[0]),!0)},lookAt:function(t,e,r){c.lookAt(c.lastT(),t,e,r)},rotate:function(t,e,r){c.rotate(c.lastT(),t,e,r)},pan:function(t,e,r){c.pan(c.lastT(),t,e,r)},translate:function(t,e,r){c.translate(c.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return c.computedMatrix},set:function(t){return c.setMatrix(c.lastT(),t),c.computedMatrix},enumerable:!0},mode:{get:function(){return c.getMode()},set:function(t){var e=c.computedUp.slice(),r=c.computedEye.slice(),i=c.computedCenter.slice();if(c.setMode(t),\"turntable\"===t){var a=n();c._active.lookAt(a,r,i,e),c._active.lookAt(a+500,r,i,[0,0,1]),c._active.flush(a)}return c.getMode()},enumerable:!0},center:{get:function(){return c.computedCenter},set:function(t){return c.lookAt(c.lastT(),null,t),c.computedCenter},enumerable:!0},eye:{get:function(){return c.computedEye},set:function(t){return c.lookAt(c.lastT(),t),c.computedEye},enumerable:!0},up:{get:function(){return c.computedUp},set:function(t){return c.lookAt(c.lastT(),null,null,t),c.computedUp},enumerable:!0},distance:{get:function(){return f},set:function(t){return c.setDistance(c.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return c.getDistanceLimits(r)},set:function(t){return c.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener(\"contextmenu\",(function(t){return t.preventDefault(),!1})),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,i,a){var o=d.keyBindingMode;if(!1!==o){var s=\"rotate\"===o,l=\"pan\"===o,u=\"zoom\"===o,h=!!a.control,p=!!a.alt,m=!!a.shift,g=!!(1&e),v=!!(2&e),y=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(i-d._lastY),w=d.flipX?1:-1,T=d.flipY?1:-1,k=Math.PI*d.rotateSpeed,A=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&g&&!h&&!p&&!m||g&&!h&&!p&&m)&&c.rotate(A,w*k*b,-T*k*_,0),(l&&g&&!h&&!p&&!m||v||g&&h&&!p&&!m)&&c.pan(A,-d.translateSpeed*b*f,d.translateSpeed*_*f,0),u&&g&&!h&&!p&&!m||y||g&&!h&&p&&!m)){var M=-d.zoomSpeed*_/window.innerHeight*(A-c.lastT())*100;c.pan(A,0,0,f*(Math.exp(M)-1))}return d._lastX=r,d._lastY=i,d._lastMods=a,!0}}d.mouseListener=a(t,e),t.addEventListener(\"touchstart\",(function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods)}),!!l&&{passive:!0}),t.addEventListener(\"touchmove\",(function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener(\"touchend\",(function(t){e(0,d._lastX,d._lastY,d._lastMods)}),!!l&&{passive:!0}),d.wheelListener=o(t,(function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,i=d.flipY?1:-1,a=n();if(Math.abs(t)>Math.abs(e))c.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-c.lastT())/20;c.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=t(\"right-now\"),i=t(\"3d-view\"),a=t(\"mouse-change\"),o=t(\"mouse-wheel\"),s=t(\"mouse-event-offset\"),l=t(\"has-passive-events\")},{\"3d-view\":7,\"has-passive-events\":232,\"mouse-change\":247,\"mouse-event-offset\":248,\"mouse-wheel\":250,\"right-now\":278}],120:[function(t,e,r){var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision mediump float;\\n#define GLSLIFY 1\\nattribute vec2 position;\\nvarying vec2 uv;\\nvoid main() {\\n  uv = position;\\n  gl_Position = vec4(position, 0, 1);\\n}\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D accumBuffer;\\nvarying vec2 uv;\\n\\nvoid main() {\\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\\n  gl_FragColor = min(vec4(1,1,1,1), accum);\\n}\"]);e.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec2\"}])}},{\"gl-shader\":132,glslify:231}],121:[function(t,e,r){\"use strict\";var n=t(\"./camera.js\"),i=t(\"gl-axes3d\"),a=t(\"gl-axes3d/properties\"),o=t(\"gl-spikes3d\"),s=t(\"gl-select-static\"),l=t(\"gl-fbo\"),c=t(\"a-big-triangle\"),u=t(\"mouse-change\"),f=t(\"gl-mat4/perspective\"),h=t(\"gl-mat4/ortho\"),p=t(\"./lib/shader\"),d=t(\"is-mobile\")({tablet:!0,featureDetect:!0});function m(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function g(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}if(e>0){r=Math.round(Math.pow(10,e));return Math.ceil(t/r)*r}return Math.ceil(t)}function v(t){return\"boolean\"!=typeof t||t}e.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;if(!e){if(e=document.createElement(\"canvas\"),t.container)t.container.appendChild(e);else document.body.appendChild(e)}var r=t.gl;r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext(\"webgl\",e))||(r=t.getContext(\"experimental-webgl\",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d}));if(!r)throw new Error(\"webgl not supported\");var y=t.bounds||[[-10,-10,-10],[10,10,10]],x=new m,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&\"orthographic\"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||\"turntable\",_ortho:w},k=t.axes||{},A=i(r,k);A.enable=!k.disable;var M=t.spikes||{},S=o(r,M),E=[],L=[],C=[],P=[],I=!0,O=!0,z=new Array(16),D=new Array(16),R={view:null,projection:z,model:D,_ortho:!1},F=(O=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),B=t.cameraObject||n(e,T),N={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:B,axes:A,axesPixels:null,spikes:S,bounds:y,objects:E,shape:F,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:v(t.autoResize),autoBounds:v(t.autoBounds),autoScale:!!t.autoScale,autoCenter:v(t.autoCenter),clipToBounds:v(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:R,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,O=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},j=[r.drawingBufferWidth/N.pixelRatio|0,r.drawingBufferHeight/N.pixelRatio|0];function U(){if(!N._stopped&&N.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*N.pixelRatio),a=0|Math.ceil(n*N.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||\"absolute\",o.left=\"0px\",o.top=\"0px\",o.width=r+\"px\",o.height=n+\"px\",I=!0}}}N.autoResize&&U();function V(){for(var t=E.length,e=P.length,n=0;n<e;++n)C[n]=0;t:for(n=0;n<t;++n){var i=E[n],a=i.pickSlots;if(a){for(var o=0;o<e;++o)if(C[o]+a<255){L[n]=o,i.setPickBase(C[o]+1),C[o]+=a;continue t}var l=s(r,F);L[n]=e,P.push(l),C.push(a),i.setPickBase(1),e+=1}else L[n]=-1}for(;e>0&&0===C[e-1];)C.pop(),P.pop().dispose()}function H(){if(N.contextLost)return!0;r.isContextLost()&&(N.contextLost=!0,N.mouseListener.enabled=!1,N.selection.object=null,N.oncontextloss&&N.oncontextloss())}window.addEventListener(\"resize\",U),N.update=function(t){N._stopped||(t=t||{},I=!0,O=!0)},N.add=function(t){N._stopped||(t.axes=A,E.push(t),L.push(-1),I=!0,O=!0,V())},N.remove=function(t){if(!N._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),I=!0,O=!0,V())}},N.dispose=function(){if(!N._stopped&&(N._stopped=!0,window.removeEventListener(\"resize\",U),e.removeEventListener(\"webglcontextlost\",H),N.mouseListener.enabled=!1,!N.contextLost)){A.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();b.dispose();for(t=0;t<P.length;++t)P[t].dispose();_.dispose(),r=null,A=null,S=null,E=[]}},N._mouseRotating=!1,N._prevButtons=0,N.enableMouseListeners=function(){N.mouseListener=u(e,(function(t,e,r){if(!N._stopped){var n=P.length,i=E.length,a=x.object;x.distance=1/0,x.mouse[0]=e,x.mouse[1]=r,x.object=null,x.screen=null,x.dataCoordinate=x.dataPosition=null;var o=!1;if(t&&N._prevButtons)N._mouseRotating=!0;else{N._mouseRotating&&(O=!0),N._mouseRotating=!1;for(var s=0;s<n;++s){var l=P[s].query(e,j[1]-r-1,N.pickRadius);if(l){if(l.distance>x.distance)continue;for(var c=0;c<i;++c){var u=E[c];if(L[c]===s){var f=u.pick(l);f&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=u,x.index=f.distance,x.dataPosition=f.position,x.dataCoordinate=f.dataCoordinate,x.data=f,o=!0)}}}}}a&&a!==x.object&&(a.highlight&&a.highlight(null),I=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),I=!0),(o=o||x.object!==a)&&N.onselect&&N.onselect(x),1&t&&!(1&N._prevButtons)&&N.onclick&&N.onclick(x),N._prevButtons=t}}))},e.addEventListener(\"webglcontextlost\",H);var q=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],G=[q[0].slice(),q[1].slice()];function Y(){if(!H()){U();var t=N.camera.tick();R.view=N.camera.matrix,I=I||t,O=O||t,A.pixelRatio=N.pixelRatio,S.pixelRatio=N.pixelRatio;var e=E.length,n=q[0],i=q[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<e;++o){(C=E[o]).pixelRatio=N.pixelRatio,C.axes=N.axes,I=I||!!C.dirty,O=O||!!C.dirty;var s=C.bounds;if(s)for(var l=s[0],u=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),i[p]=Math.max(i[p],u[p])}var d=N.bounds;if(N.autoBounds)for(p=0;p<3;++p){if(i[p]<n[p])n[p]=-1,i[p]=1;else{n[p]===i[p]&&(n[p]-=1,i[p]+=1);var m=.05*(i[p]-n[p]);n[p]=n[p]-m,i[p]=i[p]+m}d[0][p]=n[p],d[1][p]=i[p]}var v=!1;for(p=0;p<3;++p)v=v||G[0][p]!==d[0][p]||G[1][p]!==d[1][p],G[0][p]=d[0][p],G[1][p]=d[1][p];if(O=O||v,I=I||v){if(v){var y=[0,0,0];for(o=0;o<3;++o)y[o]=g((d[1][o]-d[0][o])/10);A.autoTicks?A.update({bounds:d,tickSpacing:y}):A.update({bounds:d})}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;F[0]=T,F[1]=k,j[0]=0|Math.max(T/N.pixelRatio,1),j[1]=0|Math.max(k/N.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,i=n.projection,a=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,c=t.zFar,u=t.fovy,p=o/s;e?(h(i,-p,p,-1,1,l,c),n._ortho=!0):(f(i,u,p,l,c),n._ortho=!1);for(var d=0;d<16;++d)a[d]=0;a[15]=1;var m=0;for(d=0;d<3;++d)m=Math.max(m,r[1][d]-r[0][d]);for(d=0;d<3;++d)t.autoScale?a[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):a[5*d]=1/m,t.autoCenter&&(a[12+d]=.5*-a[5*d]*(r[0][d]+r[1][d]))}(N,w);for(o=0;o<e;++o){(C=E[o]).axesBounds=d,N.clipToBounds&&(C.clipBounds=d)}x.object&&(N.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),O&&(O=!1,function(){if(!H()){r.colorMask(!0,!0,!0,!0),r.depthMask(!0),r.disable(r.BLEND),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL);for(var t=E.length,e=P.length,n=0;n<e;++n){var i=P[n];i.shape=j,i.begin();for(var a=0;a<t;++a)if(L[a]===n){var o=E[a];o.drawPick&&(o.pixelRatio=1,o.drawPick(R))}i.end()}}}()),N.axesPixels=a(N.axes,R,T,k),N.onrender&&N.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,k),N.clearRGBA(),r.depthMask(!0),r.colorMask(!0,!0,!0,!0),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL),r.disable(r.BLEND),r.disable(r.CULL_FACE);var M=!1;A.enable&&(M=M||A.isTransparent(),A.draw(R)),S.axes=A,x.object&&S.draw(R),r.disable(r.CULL_FACE);for(o=0;o<e;++o){(C=E[o]).axes=A,C.pixelRatio=N.pixelRatio,C.isOpaque&&C.isOpaque()&&C.draw(R),C.isTransparent&&C.isTransparent()&&(M=!0)}if(M){b.shape=F,b.bind(),r.clear(r.DEPTH_BUFFER_BIT),r.colorMask(!1,!1,!1,!1),r.depthMask(!0),r.depthFunc(r.LESS),A.enable&&A.isTransparent()&&A.drawTransparent(R);for(o=0;o<e;++o){(C=E[o]).isOpaque&&C.isOpaque()&&C.draw(R)}r.enable(r.BLEND),r.blendEquation(r.FUNC_ADD),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.colorMask(!0,!0,!0,!0),r.depthMask(!1),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),A.isTransparent()&&A.drawTransparent(R);for(o=0;o<e;++o){var C;(C=E[o]).isTransparent&&C.isTransparent()&&C.drawTransparent(R)}r.bindFramebuffer(r.FRAMEBUFFER,null),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.disable(r.DEPTH_TEST),_.bind(),b.color[0].bind(0),_.uniforms.accumBuffer=0,c(r),r.disable(r.BLEND)}I=!1;for(o=0;o<e;++o)E[o].dirty=!1}}}return N.enableMouseListeners(),function t(){if(N._stopped||N.contextLost)return;Y(),requestAnimationFrame(t)}(),N.redraw=function(){N._stopped||(I=!0,Y())},N},createCamera:n}},{\"./camera.js\":119,\"./lib/shader\":120,\"a-big-triangle\":8,\"gl-axes3d\":70,\"gl-axes3d/properties\":77,\"gl-fbo\":86,\"gl-mat4/ortho\":101,\"gl-mat4/perspective\":102,\"gl-select-static\":131,\"gl-spikes3d\":141,\"is-mobile\":238,\"mouse-change\":247}],122:[function(t,e,r){var n=t(\"glslify\");r.pointVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform float pointCloud;\\n\\nhighp float rand(vec2 co) {\\n  highp float a = 12.9898;\\n  highp float b = 78.233;\\n  highp float c = 43758.5453;\\n  highp float d = dot(co.xy, vec2(a, b));\\n  highp float e = mod(d, 3.14);\\n  return fract(sin(e) * c);\\n}\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n    // if we don't jitter the point size a bit, overall point cloud\\n    // saturation 'jumps' on zooming, which is disturbing and confusing\\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    // get the same square surface as circle would be\\n    gl_PointSize *= 0.886;\\n  }\\n}\"]),r.pointFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\nuniform float pointCloud;\\n\\nvoid main() {\\n  float radius;\\n  vec4 baseColor;\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    if(centerFraction == 1.0) {\\n      gl_FragColor = color;\\n    } else {\\n      gl_FragColor = mix(borderColor, color, centerFraction);\\n    }\\n  } else {\\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n    if(radius > 1.0) {\\n      discard;\\n    }\\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\\n  }\\n}\\n\"]),r.pickVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n  gl_PointSize = pointSize;\\n\\n  vec4 id = pickId + pickOffset;\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  fragId = id;\\n}\\n\"]),r.pickFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  gl_FragColor = fragId / 255.0;\\n}\\n\"])},{glslify:231}],123:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"typedarray-pool\"),o=t(\"./lib/shader\");function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}e.exports=function(t,e){var r=t.gl,a=i(r),l=i(r),c=n(r,o.pointVertex,o.pointFragment),u=n(r,o.pickVertex,o.pickFragment),f=new s(t,a,l,c,u);return f.update(e),t.addObject(f),f};var l,c,u=s.prototype;u.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},u.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r(\"sizeMin\",.5),this.sizeMax=r(\"sizeMax\",20),this.color=r(\"color\",[1,0,0,1]).slice(),this.areaRatio=r(\"areaRatio\",1),this.borderColor=r(\"borderColor\",[0,0,0,1]).slice(),this.blend=r(\"blend\",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),c=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e<n;e++)c[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(c),i||a.free(l),o||a.free(c),this.pointCount=n,this.pickOffset=0},u.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],c=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,i=this.plot.dataBox;if(0===this.pointCount)return t;var a=i[2]-i[0],o=i[3]-i[1],s=function(t,e){var r,n=0,i=t.length>>>1;for(r=0;r<i;r++){var a=t[2*r],o=t[2*r+1];a>=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),u=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=u<5,r.uniforms.pointSize=u,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(c[0]=255&t,c[1]=t>>8&255,c[2]=t>>16&255,c[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=c,this.pickOffset=t);var f=n.getParameter(n.BLEND),h=n.getParameter(n.DITHER);return f&&!this.blend&&n.disable(n.BLEND),h&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),f&&!this.blend&&n.enable(n.BLEND),h&&n.enable(n.DITHER),t+this.pointCount}),u.draw=u.unifiedDraw,u.drawPick=u.unifiedDraw,u.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},{\"./lib/shader\":122,\"gl-buffer\":78,\"gl-shader\":132,\"typedarray-pool\":308}],124:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c=e[0],u=e[1],f=e[2],h=e[3],p=r[0],d=r[1],m=r[2],g=r[3];(a=c*p+u*d+f*m+h*g)<0&&(a=-a,p=-p,d=-d,m=-m,g=-g);1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n);return t[0]=s*c+l*p,t[1]=s*u+l*d,t[2]=s*f+l*m,t[3]=s*h+l*g,t}},{}],125:[function(t,e,r){\"use strict\";e.exports=function(t){return t||0===t?t.toString():\"\"}},{}],126:[function(t,e,r){\"use strict\";var n=t(\"vectorize-text\");e.exports=function(t,e,r){var a=i[e];a||(a=i[e]={});if(t in a)return a[t];var o={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,c,u=n(t,o);if(r&&1!==r){for(l=0;l<s.positions.length;++l)for(c=0;c<s.positions[l].length;++c)s.positions[l][c]/=r;for(l=0;l<u.positions.length;++l)for(c=0;c<u.positions[l].length;++c)u.positions[l][c]/=r}var f=[[1/0,1/0],[-1/0,-1/0]],h=u.positions.length;for(l=0;l<h;++l){var p=u.positions[l];for(c=0;c<2;++c)f[0][c]=Math.min(f[0][c],p[c]),f[1][c]=Math.max(f[1][c],p[c])}return a[t]=[s,u,f]};var i={}},{\"vectorize-text\":311}],127:[function(t,e,r){var n=t(\"gl-shader\"),i=t(\"glslify\"),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = 1.0;\\n    if(distance(highlightId, id) < 0.0001) {\\n      scale = highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1);\\n    vec4 viewPosition = view * worldPosition;\\n    viewPosition = viewPosition / viewPosition.w;\\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = pixelRatio;\\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\\n      scale *= highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1.0);\\n    vec4 viewPosition = view * worldPosition;\\n    vec4 clipPosition = projection * viewPosition;\\n    clipPosition /= clipPosition.w;\\n\\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float lscale = pixelRatio * scale;\\n    if(distance(highlightId, id) < 0.0001) {\\n      lscale *= highlightScale;\\n    }\\n\\n    vec4 clipCenter   = projection * view * model * vec4(position, 1);\\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\n    vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = dataPosition;\\n  }\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (\\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\\n    interpColor.a * opacity == 0.\\n  ) discard;\\n  gl_FragColor = interpColor * opacity;\\n}\\n\"]),c=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\\n\\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\\n}\"]),u=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],f={vertex:a,fragment:l,attributes:u},h={vertex:o,fragment:l,attributes:u},p={vertex:s,fragment:l,attributes:u},d={vertex:a,fragment:c,attributes:u},m={vertex:o,fragment:c,attributes:u},g={vertex:s,fragment:c,attributes:u};function v(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}r.createPerspective=function(t){return v(t,f)},r.createOrtho=function(t){return v(t,h)},r.createProject=function(t){return v(t,p)},r.createPickPerspective=function(t){return v(t,d)},r.createPickOrtho=function(t){return v(t,m)},r.createPickProject=function(t){return v(t,g)}},{\"gl-shader\":132,glslify:231}],128:[function(t,e,r){\"use strict\";var n=t(\"is-string-blank\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"typedarray-pool\"),s=t(\"gl-mat4/multiply\"),l=t(\"./lib/shaders\"),c=t(\"./lib/glyphs\"),u=t(\"./lib/get-simple-string\"),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function p(t,e,r,n){return h(n,n),h(n,n),h(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function m(t){return!0===t||t>1?1:t}function g(t,e,r,n,i,a,o,s,l,c,u,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=c,this.pickOrthoShader=u,this.pickProjectShader=f,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}e.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),c=l.createPickOrtho(e),u=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),m=a(e,[{buffer:f,size:3,type:e.FLOAT},{buffer:h,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),v=new g(e,r,n,o,f,h,p,d,m,s,c,u);return v.update(t),v};var v=g.prototype;v.pickSlots=1,v.setPickBase=function(t){this.pickId=t},v.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},v.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var y=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=f.slice(),k=[0,0,0],A=[[0,0,0],[0,0,0]];function M(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}function L(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,c=r.model||f,u=r.view||f,h=r.projection||f,d=e.axesBounds,m=function(t){for(var e=A,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],y[0]=2/o.drawingBufferWidth,y[1]=2/o.drawingBufferHeight,t.bind(),l.view=u,l.projection=h,l.screenSize=y,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=m,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var g=0;g<3;++g)if(a[g]){l.scale=e.projectScale[g],l.opacity=e.projectOpacity[g];for(var v=T,L=0;L<16;++L)v[L]=0;for(L=0;L<4;++L)v[5*L]=1;v[5*g]=0,i[g]<0?v[12+g]=d[0][g]:v[12+g]=d[1][g],s(v,c,v),l.model=v;var C=(g+1)%3,P=(g+2)%3,I=M(x),O=M(b);I[C]=1,O[P]=1;var z=p(0,0,0,S(_,I)),D=p(0,0,0,S(w,O));if(Math.abs(z[1])>Math.abs(D[1])){var R=z;z=D,D=R,R=I,I=O,O=R;var F=C;C=P,P=F}z[0]<0&&(I[C]=-1),D[1]>0&&(O[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(c[4*C+L],2),N+=Math.pow(c[4*P+L],2);I[C]/=Math.sqrt(B),O[P]/=Math.sqrt(N),l.axes[0]=I,l.axes[1]=O,l.fragClipBounds[0]=E(k,m[0],g,-1e8),l.fragClipBounds[1]=E(k,m[1],g,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}var C=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function P(t,e,r,n,i,a,o){var s=r.gl;if((a===r.projectHasAlpha||o)&&L(e,r,n,i),a===r.hasAlpha||o){t.bind();var l=t.uniforms;l.model=n.model||f,l.view=n.view||f,l.projection=n.projection||f,y[0]=2/s.drawingBufferWidth,y[1]=2/s.drawingBufferHeight,l.screenSize=y,l.highlightId=r.highlightId,l.highlightScale=r.highlightScale,l.fragClipBounds=C,l.clipBounds=r.axes.bounds,l.opacity=r.opacity,l.pickGroup=r.pickId/255,l.pixelRatio=i,r.vao.bind(),r.vao.draw(s.TRIANGLES,r.vertexCount),r.lineWidth>0&&(s.lineWidth(r.lineWidth*i),r.vao.draw(s.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function I(t,e,r,i){var a;a=Array.isArray(t)?e<t.length?t[e]:void 0:t,a=u(a);var o=!0;n(a)&&(a=\"\\u25bc\",o=!1);var s=c(a,r,i);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}v.draw=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},v.drawTransparent=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},v.drawPick=function(t){P(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},v.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},v.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},v.update=function(t){if(\"perspective\"in(t=t||{})&&(this.useOrtho=!t.perspective),\"orthographic\"in t&&(this.useOrtho=!!t.orthographic),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"project\"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if(\"projectScale\"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,\"projectOpacity\"in t){if(Array.isArray(t.projectOpacity))this.projectOpacity=t.projectOpacity.slice();else{r=+t.projectOpacity;this.projectOpacity=[r,r,r]}for(var n=0;n<3;++n)this.projectOpacity[n]=m(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=m(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l=t.font||\"normal\",c=t.alignment||[0,0];if(2===c.length)i=c[0],a=c[1];else{i=[],a=[];for(n=0;n<c.length;++n)i[n]=c[n][0],a[n]=c[n][1]}var u=[1/0,1/0,1/0],f=[-1/0,-1/0,-1/0],h=t.glyph,p=t.color,d=t.size,g=t.angle,v=t.lineColor,y=-1,x=0,b=0,_=0;if(s.length){_=s.length;t:for(n=0;n<_;++n){for(var w=s[n],T=0;T<3;++T)if(isNaN(w[T])||!isFinite(w[T]))continue t;var k=(N=I(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;x+=3*k.cells.length,b+=2*A.edges.length}}var S=x+b,E=o.mallocFloat(3*S),L=o.mallocFloat(4*S),C=o.mallocFloat(2*S),P=o.mallocUint32(S);if(S>0){var O=0,z=x,D=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(v)&&Array.isArray(v[0]);t:for(n=0;n<_;++n){y+=1;for(w=s[n],T=0;T<3;++T){if(isNaN(w[T])||!isFinite(w[T]))continue t;f[T]=Math.max(f[T],w[T]),u[T]=Math.min(u[T],w[T])}k=(N=I(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(U=F?n<p.length?p[n]:[0,0,0,0]:p).length){for(T=0;T<3;++T)D[T]=U[T];D[3]=1}else if(4===U.length){for(T=0;T<4;++T)D[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else D[0]=D[1]=D[2]=0,D[3]=1;else D=[1,1,1,0];if(j)if(Array.isArray(v)){var U;if(3===(U=B?n<v.length?v[n]:[0,0,0,0]:v).length){for(T=0;T<3;++T)R[T]=U[T];R[T]=1}else if(4===U.length){for(T=0;T<4;++T)R[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else R[0]=R[1]=R[2]=0,R[3]=1;else R=[1,1,1,0];var V=.5;j?Array.isArray(d)?V=n<d.length?+d[n]:12:d?V=+d:this.useOrtho&&(V=12):V=0;var H=0;Array.isArray(g)?H=n<g.length?+g[n]:0:g&&(H=+g);var q=Math.cos(H),G=Math.sin(H);for(w=s[n],T=0;T<3;++T)f[T]=Math.max(f[T],w[T]),u[T]=Math.min(u[T],w[T]);var Y=i,W=a;Y=0;Array.isArray(i)?Y=n<i.length?i[n]:0:i&&(Y=i);W=0;Array.isArray(a)?W=n<a.length?a[n]:0:a&&(W=a);var Z=[Y*=Y>0?1-M[0][0]:Y<0?1+M[1][0]:1,W*=W>0?1-M[0][1]:W<0?1+M[1][1]:1],X=k.cells||[],J=k.positions||[];for(T=0;T<X.length;++T)for(var K=X[T],Q=0;Q<3;++Q){for(var $=0;$<3;++$)E[3*O+$]=w[$];for($=0;$<4;++$)L[4*O+$]=D[$];P[O]=y;var tt=J[K[Q]];C[2*O]=V*(q*tt[0]-G*tt[1]+Z[0]),C[2*O+1]=V*(G*tt[0]+q*tt[1]+Z[1]),O+=1}for(X=A.edges,J=A.positions,T=0;T<X.length;++T)for(K=X[T],Q=0;Q<2;++Q){for($=0;$<3;++$)E[3*z+$]=w[$];for($=0;$<4;++$)L[4*z+$]=R[$];P[z]=y;tt=J[K[Q]];C[2*z]=V*(q*tt[0]-G*tt[1]+Z[0]),C[2*z+1]=V*(G*tt[0]+q*tt[1]+Z[1]),z+=1}}}this.bounds=[u,f],this.points=s,this.pointCount=s.length,this.vertexCount=x,this.lineVertexCount=b,this.pointBuffer.update(E),this.colorBuffer.update(L),this.glyphBuffer.update(C),this.idBuffer.update(P),o.free(E),o.free(L),o.free(C),o.free(P)},v.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()}},{\"./lib/get-simple-string\":125,\"./lib/glyphs\":126,\"./lib/shaders\":127,\"gl-buffer\":78,\"gl-mat4/multiply\":100,\"gl-vao\":150,\"is-string-blank\":239,\"typedarray-pool\":308}],129:[function(t,e,r){\"use strict\";var n=t(\"glslify\");r.boxVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 vertex;\\n\\nuniform vec2 cornerA, cornerB;\\n\\nvoid main() {\\n  gl_Position = vec4(mix(cornerA, cornerB, vertex), 0, 1);\\n}\\n\"]),r.boxFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  gl_FragColor = color;\\n}\\n\"])},{glslify:231}],130:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"./lib/shaders\");function o(t,e,r){this.plot=t,this.boxBuffer=e,this.boxShader=r,this.enabled=!0,this.selectBox=[1/0,1/0,-1/0,-1/0],this.borderColor=[0,0,0,1],this.innerFill=!1,this.innerColor=[0,0,0,.25],this.outerFill=!0,this.outerColor=[0,0,0,.5],this.borderWidth=10}e.exports=function(t,e){var r=t.gl,s=i(r,[0,0,0,1,1,0,1,1]),l=n(r,a.boxVertex,a.boxFragment),c=new o(t,s,l);return c.update(e),t.addOverlay(c),c};var s=o.prototype;s.draw=function(){if(this.enabled){var t=this.plot,e=this.selectBox,r=this.borderWidth,n=(this.innerFill,this.innerColor),i=(this.outerFill,this.outerColor),a=this.borderColor,o=t.box,s=t.screenBox,l=t.dataBox,c=t.viewBox,u=t.pixelRatio,f=(e[0]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],h=(e[1]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1],p=(e[2]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],d=(e[3]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1];if(f=Math.max(f,c[0]),h=Math.max(h,c[1]),p=Math.min(p,c[2]),d=Math.min(d,c[3]),!(p<f||d<h)){o.bind();var m=s[2]-s[0],g=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,m,h,i),o.drawBox(0,h,f,d,i),o.drawBox(0,d,m,g,i),o.drawBox(p,h,m,d,i)),this.innerFill&&o.drawBox(f,h,p,d,n),r>0){var v=r*u;o.drawBox(f-v,h-v,p+v,h+v,a),o.drawBox(f-v,d-v,p+v,d+v,a),o.drawBox(f-v,h-v,f+v,d+v,a),o.drawBox(p-v,h-v,p+v,d+v,a)}}}},s.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},{\"./lib/shaders\":129,\"gl-buffer\":78,\"gl-shader\":132}],131:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=e[0],a=e[1],o=n(t,r,a,{}),s=i.mallocUint8(r*a*4);return new l(t,o,s)};var n=t(\"gl-fbo\"),i=t(\"typedarray-pool\"),a=t(\"ndarray\"),o=t(\"bit-twiddle\").nextPow2;function s(t,e,r,n,i){this.coord=[t,e],this.id=r,this.value=n,this.distance=i}function l(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var n=this;this._readCallback=function(){n.gl&&(e.bind(),t.readPixels(0,0,e.shape[0],e.shape[1],t.RGBA,t.UNSIGNED_BYTE,n.buffer),n._readTimeout=null)}}var c=l.prototype;Object.defineProperty(c,\"shape\",{get:function(){return this.gl?this.fbo.shape.slice():[0,0]},set:function(t){if(this.gl){this.fbo.shape=t;var e=this.fbo.shape[0],r=this.fbo.shape[1];if(r*e*4>this.buffer.length){i.free(this.buffer);for(var n=this.buffer=i.mallocUint8(o(r*e*4)),a=0;a<r*e*4;++a)n[a]=255}return t}}}),c.begin=function(){var t=this.gl;this.shape;t&&(this.fbo.bind(),t.clearColor(1,1,1,1),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT))},c.end=function(){var t=this.gl;t&&(t.bindFramebuffer(t.FRAMEBUFFER,null),this._readTimeout||clearTimeout(this._readTimeout),this._readTimeout=setTimeout(this._readCallback,1))},c.query=function(t,e,r){if(!this.gl)return null;var n=this.fbo.shape.slice();t|=0,e|=0,\"number\"!=typeof r&&(r=1);var i=0|Math.min(Math.max(t-r,0),n[0]),o=0|Math.min(Math.max(t+r,0),n[0]),l=0|Math.min(Math.max(e-r,0),n[1]),c=0|Math.min(Math.max(e+r,0),n[1]);if(o<=i||c<=l)return null;var u=[o-i,c-l],f=a(this.buffer,[u[0],u[1],4],[4,4*n[0],1],4*(i+n[0]*l)),h=function(t,e,r){for(var n=1e8,i=-1,a=-1,o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var c=0;c<s;c++){var u=t.get(l,c,0),f=t.get(l,c,1),h=t.get(l,c,2),p=t.get(l,c,3);if(u<255||f<255||h<255||p<255){var d=e-l,m=r-c,g=d*d+m*m;g<n&&(n=g,i=l,a=c)}}return[i,a,n]}(f.hi(u[0],u[1],1),r,r),p=h[0],d=h[1];return p<0||Math.pow(this.radius,2)<h[2]?null:new s(p+i|0,d+l|0,f.get(p,d,0),[f.get(p,d,1),f.get(p,d,2),f.get(p,d,3)],Math.sqrt(h[2]))},c.dispose=function(){this.gl&&(this.fbo.dispose(),i.free(this.buffer),this.gl=null,this._readTimeout&&clearTimeout(this._readTimeout))}},{\"bit-twiddle\":32,\"gl-fbo\":86,ndarray:259,\"typedarray-pool\":308}],132:[function(t,e,r){\"use strict\";var n=t(\"./lib/create-uniforms\"),i=t(\"./lib/create-attributes\"),a=t(\"./lib/reflect\"),o=t(\"./lib/shader-cache\"),s=t(\"./lib/runtime-reflect\"),l=t(\"./lib/GLError\");function c(t){this.gl=t,this.gl.lastAttribCount=0,this._vref=this._fref=this._relink=this.vertShader=this.fragShader=this.program=this.attributes=this.uniforms=this.types=null}var u=c.prototype;function f(t,e){return t.name<e.name?-1:1}u.bind=function(){var t;this.program||this._relink();var e=this.gl.getProgramParameter(this.program,this.gl.ACTIVE_ATTRIBUTES),r=this.gl.lastAttribCount;if(e>r)for(t=r;t<e;t++)this.gl.enableVertexAttribArray(t);else if(r>e)for(t=e;t<r;t++)this.gl.disableVertexAttribArray(t);this.gl.lastAttribCount=e,this.gl.useProgram(this.program)},u.dispose=function(){for(var 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w=c[y];if(w.type.indexOf(\"mat\")>=0){for(var T=0|w.type.charAt(w.type.length-1),k=new Array(T),A=0;A<T;++A)k[A]=_.length,b.push(w.name+\"[\"+A+\"]\"),\"number\"==typeof w.location?_.push(w.location+A):Array.isArray(w.location)&&w.location.length===T&&\"number\"==typeof w.location[A]?_.push(0|w.location[A]):_.push(-1);x.push({name:w.name,type:w.type,locations:k})}else x.push({name:w.name,type:w.type,locations:[_.length]}),b.push(w.name),\"number\"==typeof w.location?_.push(0|w.location):_.push(-1)}var M=0;for(y=0;y<_.length;++y)if(_[y]<0){for(;_.indexOf(M)>=0;)M+=1;_[y]=M}var S=new Array(r.length);function E(){h.program=o.program(p,h._vref,h._fref,b,_);for(var t=0;t<r.length;++t)S[t]=p.getUniformLocation(h.program,r[t].name)}E(),h._relink=E,h.types={uniforms:a(r),attributes:a(c)},h.attributes=i(p,h,x,_),Object.defineProperty(h,\"uniforms\",n(p,h,r,S))},e.exports=function(t,e,r,n,i){var a=new c(t);return 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h=c,p=u,d=0;d<3;++d)i&&i[d]<0?(h[d]=this.bounds[0][d],p[d]=this.bounds[1][d]):(h[d]=this.bounds[1][d],p[d]=this.bounds[0][d]);f[0]=e.drawingBufferWidth,f[1]=e.drawingBufferHeight,n.uniforms.model=a,n.uniforms.view=s,n.uniforms.projection=l,n.uniforms.coordinates=[this.position,h,p],n.uniforms.colors=this.colors,n.uniforms.screenShape=f;for(d=0;d<3;++d)n.uniforms.lineWidth=this.lineWidth[d]*this.pixelRatio,this.enabled[d]&&(r.draw(e.TRIANGLES,6,6*d),this.drawSides[d]&&r.draw(e.TRIANGLES,12,18+12*d));r.unbind()},l.update=function(t){t&&(\"bounds\"in t&&(this.bounds=t.bounds),\"position\"in t&&(this.position=t.position),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"colors\"in t&&(this.colors=t.colors),\"enabled\"in t&&(this.enabled=t.enabled),\"drawSides\"in t&&(this.drawSides=t.drawSides))},l.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders/index\":140,\"gl-buffer\":78,\"gl-vao\":150}],142:[function(t,e,r){var n=t(\"glslify\"),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, tubeScale;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * tubePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(tubePosition, 1.0);\\n  vec4 t_position  = view * tubePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = tubePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float tubeScale;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  gl_Position = projection * view * tubePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]}},{glslify:231}],143:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\"),i=t(\"gl-vec4\"),a=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],o=function(t,e,r,a){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,c=0;c<l.length;c++)o=Math.max(o,n.length(l[c]));var u=t.map((function(t){return function(t,e,r,a){for(var o=t.points,s=t.velocities,l=t.divergences,c=[],u=[],f=[],h=[],p=[],d=[],m=0,g=0,v=i.create(),y=i.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),g=n.length(_)/a,v=i.create(),n.copy(v,_),v[3]=w;for(var T=0;T<8;T++)p[T]=[b[0],b[1],b[2],T];if(h.length>0)for(T=0;T<8;T++){var k=(T+1)%8;c.push(h[T],p[T],p[k],p[k],h[k],h[T]),f.push(y,v,v,v,y,y),d.push(m,g,g,g,m,m);var A=c.length;u.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=h;h=p,p=M;var S=y;y=v,v=S;var E=m;m=g,g=E}return{positions:c,cells:u,vectors:f,vertexIntensity:d}}(t,r,a,o)})),f=[],h=[],p=[],d=[];for(s=0;s<u.length;s++){var m=u[s],g=f.length;f=f.concat(m.positions),p=p.concat(m.vectors),d=d.concat(m.vertexIntensity);for(c=0;c<m.cells.length;c++){var v=m.cells[c],y=[];h.push(y);for(var x=0;x<v.length;x++)y.push(v[x]+g)}}return{positions:f,cells:h,vectors:p,vertexIntensity:d,colormap:e}},s=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var i=t[r];if(i===e)return r;if(i>e)return r-1}return r},l=function(t,e,r){return t<e?e:t>r?r:t},c=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;n<r;n++){var i=Math.abs(t[n]-t[n-1]);i<e&&(e=i)}return e};e.exports=function(t,e){var r=t.startingPositions,i=t.maxLength||1e3,u=t.tubeSize||1,f=t.absoluteTubeSize,h=t.gridFill||\"+x+y+z\",p={};-1!==h.indexOf(\"-x\")&&(p.reversedX=!0),-1!==h.indexOf(\"-y\")&&(p.reversedY=!0),-1!==h.indexOf(\"-z\")&&(p.reversedZ=!0),p.filled=a.indexOf(h.replace(/-/g,\"\").replace(/\\+/g,\"\"));var d=t.getVelocity||function(e){return function(t,e,r){var i=e.vectors,a=e.meshgrid,o=t[0],c=t[1],u=t[2],f=a[0].length,h=a[1].length,p=a[2].length,d=s(a[0],o),m=s(a[1],c),g=s(a[2],u),v=d+1,y=m+1,x=g+1;if(d=l(d,0,f-1),v=l(v,0,f-1),m=l(m,0,h-1),y=l(y,0,h-1),g=l(g,0,p-1),x=l(x,0,p-1),d<0||m<0||g<0||v>f-1||y>h-1||x>p-1)return n.create();var b,_,w,T,k,A,M=a[0][d],S=a[0][v],E=a[1][m],L=a[1][y],C=a[2][g],P=(o-M)/(S-M),I=(c-E)/(L-E),O=(u-C)/(a[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(I)||(I=.5),isFinite(O)||(O=.5),r.reversedX&&(d=f-1-d,v=f-1-v),r.reversedY&&(m=h-1-m,y=h-1-y),r.reversedZ&&(g=p-1-g,x=p-1-x),r.filled){case 5:k=g,A=x,w=m*p,T=y*p,b=d*p*h,_=v*p*h;break;case 4:k=g,A=x,b=d*p,_=v*p,w=m*p*f,T=y*p*f;break;case 3:w=m,T=y,k=g*h,A=x*h,b=d*h*p,_=v*h*p;break;case 2:w=m,T=y,b=d*h,_=v*h,k=g*h*f,A=x*h*f;break;case 1:b=d,_=v,k=g*f,A=x*f,w=m*f*p,T=y*f*p;break;default:b=d,_=v,w=m*f,T=y*f,k=g*f*h,A=x*f*h}var z=i[b+w+k],D=i[b+w+A],R=i[b+T+k],F=i[b+T+A],B=i[_+w+k],N=i[_+w+A],j=i[_+T+k],U=i[_+T+A],V=n.create(),H=n.create(),q=n.create(),G=n.create();n.lerp(V,z,B,P),n.lerp(H,D,N,P),n.lerp(q,R,j,P),n.lerp(G,F,U,P);var Y=n.create(),W=n.create();n.lerp(Y,V,q,I),n.lerp(W,H,G,I);var Z=n.create();return n.lerp(Z,Y,W,O),Z}(e,t,p)},m=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},g=[],v=e[0][0],y=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(e<v||e>b||r<y||r>_||n<x||n>w)},k=10*n.distance(e[0],e[1])/i,A=k*k,M=1,S=0,E=r.length;E>1&&(M=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,l=0;l<s;l++){var u=t[l],f=u[0],h=u[1],p=u[2];i[f]||(e.push(f),i[f]=!0),a[h]||(r.push(h),a[h]=!0),o[p]||(n.push(p),o[p]=!0)}var d=c(e),m=c(r),g=c(n),v=Math.min(d,m,g);return isFinite(v)?v:1}(r));for(var L=0;L<E;L++){var C=n.create();n.copy(C,r[L]);var P=[C],I=[],O=d(C),z=C;I.push(O);var D=[],R=m(C,O),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F),g.push({points:P,velocities:I,divergences:D});for(var B=0;B<100*i&&P.length<i&&T(C);){B++;var N=n.clone(O),j=n.squaredLength(N);if(0===j)break;if(j>A&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,C),O=d(N),n.squaredDistance(z,N)-A>-1e-4*A){P.push(N),z=N,I.push(O);R=m(N,O),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F)}C=N}}var U=o(g,t.colormap,S,M);return f?U.tubeScale=f:(0===S&&(S=1),U.tubeScale=.5*u*M/S),U};var u=t(\"./lib/shaders\"),f=t(\"gl-cone3d\").createMesh;e.exports.createTubeMesh=function(t,e){return f(t,e,{shaders:u,traceType:\"streamtube\"})}},{\"./lib/shaders\":142,\"gl-cone3d\":79,\"gl-vec3\":169,\"gl-vec4\":205}],144:[function(t,e,r){var n=t(\"gl-shader\"),i=t(\"glslify\"),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\nuniform vec3 objectOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 lightPosition, eyePosition;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 localCoordinate = vec3(uv.zw, f.x);\\n  worldCoordinate = objectOffset + localCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n  vec4 clipPosition = projection * view * worldPosition;\\n  gl_Position = clipPosition;\\n  kill = f.y;\\n  value = f.z;\\n  planeCoordinate = uv.xy;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * worldPosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  lightDirection = lightPosition - cameraCoordinate.xyz;\\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\\n}\\n\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat beckmannSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness) {\\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 lowerBound, upperBound;\\nuniform float contourTint;\\nuniform vec4 contourColor;\\nuniform sampler2D colormap;\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform float vertexColor;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  if (\\n    kill > 0.0 ||\\n    vColor.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\\n  ) discard;\\n\\n  vec3 N = normalize(surfaceNormal);\\n  vec3 V = normalize(eyeDirection);\\n  vec3 L = normalize(lightDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  //decide how to interpolate color \\u2014 in vertex or in fragment\\n  vec4 surfaceColor =\\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\\n    step(.5, vertexColor) * vColor;\\n\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\\n}\\n\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\nuniform vec3 objectOffset;\\nuniform mat3 permutation;\\nuniform mat4 model, view, projection;\\nuniform float height, zOffset;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\\n  worldCoordinate = objectOffset + dataCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n\\n  vec4 clipPosition = projection * view * worldPosition;\\n  clipPosition.z += zOffset;\\n\\n  gl_Position = clipPosition;\\n  value = f + objectOffset.z;\\n  kill = -1.0;\\n  planeCoordinate = uv.zw;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Don't do lighting for contours\\n  surfaceNormal   = vec3(1,0,0);\\n  eyeDirection    = vec3(0,1,0);\\n  lightDirection  = vec3(0,0,1);\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec2 shape;\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 surfaceNormal;\\n\\nvec2 splitFloat(float v) {\\n  float vh = 255.0 * v;\\n  float upper = floor(vh);\\n  float lower = fract(vh);\\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\\n}\\n\\nvoid main() {\\n  if ((kill > 0.0) ||\\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\n\\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\\n}\\n\"]);r.createShader=function(t){var e=n(t,a,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createPickShader=function(t){var e=n(t,a,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createContourShader=function(t){var e=n(t,s,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},r.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},{\"gl-shader\":132,glslify:231}],145:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=y(e),n=b(e),s=x(e),l=_(e),c=i(e),u=a(e,[{buffer:c,size:4,stride:40,offset:0},{buffer:c,size:3,stride:40,offset:16},{buffer:c,size:3,stride:40,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),m=o(e,1,256,e.RGBA,e.UNSIGNED_BYTE);m.minFilter=e.LINEAR,m.magFilter=e.LINEAR;var g=new M(e,[0,0],[[0,0,0],[0,0,0]],r,n,c,u,m,s,l,f,h,p,d,[0,0,0]),v={levels:[[],[],[]]};for(var w in t)v[w]=t[w];return v.colormap=v.colormap||\"jet\",g.update(v),g};var n=t(\"bit-twiddle\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"typedarray-pool\"),l=t(\"colormap\"),c=t(\"ndarray-ops\"),u=t(\"ndarray-pack\"),f=t(\"ndarray\"),h=t(\"surface-nets\"),p=t(\"gl-mat4/multiply\"),d=t(\"gl-mat4/invert\"),m=t(\"binary-search-bounds\"),g=t(\"ndarray-gradient\"),v=t(\"./lib/shaders\"),y=v.createShader,x=v.createContourShader,b=v.createPickShader,_=v.createPickContourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],T=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],k=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function A(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t<3;++t){var e=k[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();function M(t,e,r,n,i,a,o,l,c,u,h,p,d,m,g){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=g,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=c,this._contourPickShader=u,this._contourBuffer=h,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new A([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=m,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var S=M.prototype;S.genColormap=function(t,e){var r=!1,n=u([l({colormap:t,nshades:256,format:\"rgba\"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return c.divseq(n,255),this.hasAlphaScale=r,n},S.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},S.isOpaque=function(){return!this.isTransparent()},S.pickSlots=1,S.setPickBase=function(t){this.pickId=t};var E=[0,0,0],L={showSurface:!1,showContour:!1,projections:[w.slice(),w.slice(),w.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function C(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||E,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=L.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var c=L.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)c[i][n]=t.clipBounds[i][n];c[0][r]=-1e8,c[1][r]=1e8}return L.showSurface=o,L.showContour=s,L}var P={model:w,view:w,projection:w,inverseModel:w.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},I=w.slice(),O=[1,0,0,0,1,0,0,0,1];function z(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=P;n.model=t.model||w,n.view=t.view||w,n.projection=t.projection||w,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=O,n.vertexColor=this.vertexColor;var s=I;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var c=s[12+i];for(o=0;o<3;++o)c+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=c/l}var u=C(n,this);if(u.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=u.projections[i],this._shader.uniforms.clipBounds=u.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(u.showContour){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var h=this._contourVAO;for(h.bind(),i=0;i<3;++i)for(f.uniforms.permutation=k[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o<this.contourLevels[i].length;++o)o===this.highlightLevel[i]?(f.uniforms.contourColor=this.highlightColor[i],f.uniforms.contourTint=this.highlightTint[i]):0!==o&&o-1!==this.highlightLevel[i]||(f.uniforms.contourColor=this.contourColor[i],f.uniforms.contourTint=this.contourTint[i]),this._contourCounts[i][o]&&(f.uniforms.height=this.contourLevels[i][o],h.draw(r.LINES,this._contourCounts[i][o],this._contourOffsets[i][o]));for(i=0;i<3;++i)for(f.uniforms.model=u.projections[i],f.uniforms.clipBounds=u.clipBounds[i],o=0;o<3;++o)if(this.contourProject[i][o]){f.uniforms.permutation=k[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var m=0;m<this.contourLevels[o].length;++m)m===this.highlightLevel[o]?(f.uniforms.contourColor=this.highlightColor[o],f.uniforms.contourTint=this.highlightTint[o]):0!==m&&m-1!==this.highlightLevel[o]||(f.uniforms.contourColor=this.contourColor[o],f.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][m]&&(f.uniforms.height=this.contourLevels[o][m],h.draw(r.LINES,this._contourCounts[o][m],this._contourOffsets[o][m]))}for(h.unbind(),(h=this._dynamicVAO).bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(f.uniforms.model=n.model,f.uniforms.clipBounds=n.clipBounds,f.uniforms.permutation=k[i],r.lineWidth(this.dynamicWidth[i]*this.pixelRatio),f.uniforms.contourColor=this.dynamicColor[i],f.uniforms.contourTint=this.dynamicTint[i],f.uniforms.height=this.dynamicLevel[i],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),o=0;o<3;++o)this.contourProject[o][i]&&(f.uniforms.model=u.projections[o],f.uniforms.clipBounds=u.clipBounds[o],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));h.unbind()}}S.draw=function(t){return z.call(this,t,!1)},S.drawTransparent=function(t){return z.call(this,t,!0)};var D={model:w,view:w,projection:w,inverseModel:w,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function R(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function F(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function B(t){if(Array.isArray(t)){if(Array.isArray(t))return[F(t[0]),F(t[1]),F(t[2])];var e=F(t);return[e.slice(),e.slice(),e.slice()]}}S.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=D;r.model=t.model||w,r.view=t.view||w,r.projection=t.projection||w,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=O;for(var n=0;n<2;++n)for(var i=r.clipBounds[n],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var o=C(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]*this.pixelRatio),s.uniforms.permutation=k[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(s.uniforms.height=this.contourLevels[a][n],l.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){s.uniforms.permutation=k[a],e.lineWidth(this.contourWidth[a]*this.pixelRatio);for(var c=0;c<this.contourLevels[a].length;++c)this._contourCounts[a][c]&&(s.uniforms.height=this.contourLevels[a][c],l.draw(e.LINES,this._contourCounts[a][c],this._contourOffsets[a][c]))}l.unbind()}},S.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var c=r.position;c[0]=c[1]=c[2]=0;for(var u=0;u<2;++u)for(var f=u?a:1-a,h=0;h<2;++h)for(var p=i+u,d=s+h,g=f*(h?l:1-l),v=0;v<3;++v)c[v]+=this._field[v].get(p,d)*g;for(var y=this._pickResult.level,x=0;x<3;++x)if(y[x]=m.le(this.contourLevels[x],c[x]),y[x]<0)this.contourLevels[x].length>0&&(y[x]=0);else if(y[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][y[x]],_=this.contourLevels[x][y[x]+1];Math.abs(b-c[x])>Math.abs(_-c[x])&&(y[x]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],v=0;v<3;++v)r.dataCoordinate[v]=this._field[v].get(r.index[0],r.index[1]);return r},S.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();c.assign(t.lo(1,1).hi(r[0],r[1]),e),c.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),c.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),c.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),c.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},S.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=R(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=R(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=R(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=B(t.contourColor)),\"contourProject\"in t&&(this.contourProject=R(t.contourProject,(function(t){return R(t,Boolean)}))),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=B(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=R(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=R(t.dynamicWidth,Number)),\"opacity\"in t&&(this.opacity=t.opacity),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0),\"colormap\"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),\"field\"in t||\"coords\"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=f(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var c=l[o];for(v=0;v<2;++v)if(c.shape[v]!==a[v])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[o],c)}}else if(t.ticks){var u=t.ticks;if(!Array.isArray(u)||2!==u.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var p=u[o];if((Array.isArray(p)||p.length)&&(p=f(p)),p.shape[0]!==a[o])throw new Error(\"gl-surface: invalid tick length\");var d=f(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var m=[0,0];m[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],m,0)}this._field[0].set(0,0,0);for(var v=0;v<a[0];++v)this._field[0].set(v+1,0,v);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),v=0;v<a[1];++v)this._field[1].set(0,v+1,v);this._field[1].set(0,a[1]+1,a[1]-1)}var y=this._field,x=f(s.mallocFloat(3*y[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)g(x.pick(o),y[o],\"mirror\");var b=f(s.mallocFloat(3*y[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(v=0;v<a[1]+2;++v){var _=x.get(0,o,v,0),w=x.get(0,o,v,1),k=x.get(1,o,v,0),A=x.get(1,o,v,1),M=x.get(2,o,v,0),S=x.get(2,o,v,1),E=k*S-A*M,L=M*w-S*_,C=_*A-w*k,P=Math.sqrt(E*E+L*L+C*C);P<1e-8?(P=Math.max(Math.abs(E),Math.abs(L),Math.abs(C)))<1e-8?(C=1,L=E=0,P=1):P=1/P:P=1/Math.sqrt(P),b.set(o,v,0,E*P),b.set(o,v,1,L*P),b.set(o,v,2,C*P)}s.free(x.data);var I=[1/0,1/0,1/0],O=[-1/0,-1/0,-1/0],z=1/0,D=-1/0,F=(a[0]-1)*(a[1]-1)*6,N=s.mallocFloat(n.nextPow2(10*F)),j=0,U=0;for(o=0;o<a[0]-1;++o)t:for(v=0;v<a[1]-1;++v){for(var V=0;V<2;++V)for(var H=0;H<2;++H)for(var q=0;q<3;++q){var G=this._field[q].get(1+o+V,1+v+H);if(isNaN(G)||!isFinite(G))continue t}for(q=0;q<6;++q){var Y=o+T[q][0],W=v+T[q][1],Z=this._field[0].get(Y+1,W+1),X=this._field[1].get(Y+1,W+1);G=this._field[2].get(Y+1,W+1),E=b.get(Y+1,W+1,0),L=b.get(Y+1,W+1,1),C=b.get(Y+1,W+1,2),t.intensity&&(J=t.intensity.get(Y,W));var J=t.intensity?t.intensity.get(Y,W):G+this.objectOffset[2];N[j++]=Y,N[j++]=W,N[j++]=Z,N[j++]=X,N[j++]=G,N[j++]=0,N[j++]=J,N[j++]=E,N[j++]=L,N[j++]=C,I[0]=Math.min(I[0],Z+this.objectOffset[0]),I[1]=Math.min(I[1],X+this.objectOffset[1]),I[2]=Math.min(I[2],G+this.objectOffset[2]),z=Math.min(z,J),O[0]=Math.max(O[0],Z+this.objectOffset[0]),O[1]=Math.max(O[1],X+this.objectOffset[1]),O[2]=Math.max(O[2],G+this.objectOffset[2]),D=Math.max(D,J),U+=1}}for(t.intensityBounds&&(z=+t.intensityBounds[0],D=+t.intensityBounds[1]),o=6;o<j;o+=10)N[o]=(N[o]-z)/(D-z);this._vertexCount=U,this._coordinateBuffer.update(N.subarray(0,j)),s.freeFloat(N),s.free(b.data),this.bounds=[I,O],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===z&&this.intensityBounds[1]===D||(r=!0),this.intensityBounds=[z,D]}if(\"levels\"in t){var K=t.levels;for(K=Array.isArray(K[0])?K.slice():[[],[],K],o=0;o<3;++o)K[o]=K[o].slice(),K[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(v=0;v<K[o].length;++v)K[o][v]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(K[o].length!==this.contourLevels[o].length){r=!0;break}for(v=0;v<K[o].length;++v)if(K[o][v]!==this.contourLevels[o][v]){r=!0;break t}}this.contourLevels=K}if(r){y=this._field,a=this.shape;for(var Q=[],$=0;$<3;++$){var tt=this.contourLevels[$],et=[],rt=[],nt=[0,0,0];for(o=0;o<tt.length;++o){var it=h(this._field[$],tt[o]);et.push(Q.length/5|0),U=0;t:for(v=0;v<it.cells.length;++v){var at=it.cells[v];for(q=0;q<2;++q){var ot=it.positions[at[q]],st=ot[0],lt=0|Math.floor(st),ct=st-lt,ut=ot[1],ft=0|Math.floor(ut),ht=ut-ft,pt=!1;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var mt=($+dt+1)%3;for(V=0;V<2;++V){var gt=V?ct:1-ct;for(Y=0|Math.min(Math.max(lt+V,0),a[0]),H=0;H<2;++H){var vt=H?ht:1-ht;if(W=0|Math.min(Math.max(ft+H,0),a[1]),G=dt<2?this._field[mt].get(Y,W):(this.intensity.get(Y,W)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(G)||isNaN(G)){pt=!0;break e}var yt=gt*vt;nt[dt]+=yt*G}}}if(pt){if(q>0){for(var xt=0;xt<5;++xt)Q.pop();U-=1}continue t}Q.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[$]=et,this._contourCounts[$]=rt}var bt=s.mallocFloat(Q.length);for(o=0;o<Q.length;++o)bt[o]=Q[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},S.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},S.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,c=(o+2)%3,u=this._field[o],f=this._field[l],p=this._field[c],d=h(u,r[o]),m=d.cells,g=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<m.length;++e)for(var v=m[e],y=0;y<2;++y){var x=g[v[y]],b=+x[0],_=0|b,w=0|Math.min(_+1,i[0]),T=b-_,k=1-T,A=+x[1],M=0|A,S=0|Math.min(M+1,i[1]),E=A-M,L=1-E,C=k*L,P=k*E,I=T*L,O=T*E,z=C*f.get(_,M)+P*f.get(_,S)+I*f.get(w,M)+O*f.get(w,S),D=C*p.get(_,M)+P*p.get(_,S)+I*p.get(w,M)+O*p.get(w,S);if(isNaN(z)||isNaN(D)){y&&(n-=1);break}a[2*n+0]=z,a[2*n+1]=D,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),s.freeFloat(a)}}},{\"./lib/shaders\":144,\"binary-search-bounds\":31,\"bit-twiddle\":32,colormap:53,\"gl-buffer\":78,\"gl-mat4/invert\":98,\"gl-mat4/multiply\":100,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259,\"ndarray-gradient\":252,\"ndarray-ops\":254,\"ndarray-pack\":255,\"surface-nets\":302,\"typedarray-pool\":308}],146:[function(t,e,r){\"use strict\";var n=t(\"ndarray\"),i=t(\"ndarray-ops\"),a=t(\"typedarray-pool\");e.exports=function(t){if(arguments.length<=1)throw new Error(\"gl-texture2d: Missing arguments for texture2d constructor\");o||c(t);if(\"number\"==typeof arguments[1])return v(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return v(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(\"object\"==typeof arguments[1]){var e=arguments[1],r=u(e)?e:e.raw;if(r)return y(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return x(t,e)}throw new Error(\"gl-texture2d: Invalid arguments for texture2d constructor\")};var o=null,s=null,l=null;function c(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}function u(t){return\"undefined\"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||\"undefined\"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||\"undefined\"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||\"undefined\"!=typeof ImageData&&t instanceof ImageData}var f=function(t,e){i.muls(t,e,255)};function h(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture size\");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function p(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var d=p.prototype;function m(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function g(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function v(t,e,r,n,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error(\"gl-texture2d: Invalid texture shape\");if(i===t.FLOAT&&!t.getExtension(\"OES_texture_float\"))throw new Error(\"gl-texture2d: Floating point textures not supported on this platform\");var o=g(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new p(t,o,e,r,n,i)}function y(t,e,r,n,i,a){var o=g(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new p(t,o,r,n,i,a)}function x(t,e){var r=e.dtype,o=e.shape.slice(),s=t.getParameter(t.MAX_TEXTURE_SIZE);if(o[0]<0||o[0]>s||o[1]<0||o[1]>s)throw new Error(\"gl-texture2d: Invalid texture size\");var l=m(o,e.stride.slice()),c=0;\"float32\"===r?c=t.FLOAT:\"float64\"===r?(c=t.FLOAT,l=!1,r=\"float32\"):\"uint8\"===r?c=t.UNSIGNED_BYTE:(c=t.UNSIGNED_BYTE,l=!1,r=\"uint8\");var u,h,d=0;if(2===o.length)d=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===o[2])d=t.ALPHA;else if(2===o[2])d=t.LUMINANCE_ALPHA;else if(3===o[2])d=t.RGB;else{if(4!==o[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");d=t.RGBA}}c!==t.FLOAT||t.getExtension(\"OES_texture_float\")||(c=t.UNSIGNED_BYTE,l=!1);var v=e.size;if(l)u=0===e.offset&&e.data.length===v?e.data:e.data.subarray(e.offset,e.offset+v);else{var y=[o[2],o[2]*o[0],1];h=a.malloc(v,r);var x=n(h,o,y,0);\"float32\"!==r&&\"float64\"!==r||c!==t.UNSIGNED_BYTE?i.assign(x,e):f(x,e),u=h.subarray(0,v)}var b=g(t);return t.texImage2D(t.TEXTURE_2D,0,d,o[0],o[1],0,d,c,u),l||a.free(h),new p(t,b,o[0],o[1],d,c)}Object.defineProperties(d,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension(\"EXT_texture_filter_anisotropic\");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error(\"gl-texture2d: Must specify wrap mode for rows and columns\");for(var 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-       "/*!\n",
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-       " * @license  MIT\n",
-       " */\n",
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l=0;l<3;++l){for(var c=0,f=0;f<3;++f)c+=r[l+4*f]*i[f];r[12+l]=-c}},h.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},h.idle=function(t){this.center.idle(t),this.radius.idle(t),this.rotation.idle(t)},h.flush=function(t){this.center.flush(t),this.radius.flush(t),this.rotation.flush(t)},h.pan=function(t,e,r,n){e=e||0,r=r||0,n=n||0,this.recalcMatrix(t);var i=this.computedMatrix,a=i[1],o=i[5],s=i[9],c=l(a,o,s);a/=c,o/=c,s/=c;var u=i[0],f=i[4],h=i[8],p=u*a+f*o+h*s,d=l(u-=a*p,f-=o*p,h-=s*p);u/=d,f/=d,h/=d;var m=i[2],g=i[6],v=i[10],y=m*a+g*o+v*s,x=m*u+g*f+v*h,b=l(m-=y*a+x*u,g-=y*o+x*f,v-=y*s+x*h);m/=b,g/=b,v/=b;var _=u*e+a*r,w=f*e+o*r,T=h*e+s*r;this.center.move(t,_,w,T);var k=Math.exp(this.computedRadius[0]);k=Math.max(1e-4,k+n),this.radius.set(t,Math.log(k))},h.rotate=function(t,e,r,n){this.recalcMatrix(t),e=e||0,r=r||0;var 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 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-       "/*!\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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",
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",
+      "text/plain": [
+       "<Figure size 1600x1400 with 8 Axes>"
       ]
      },
+     "execution_count": null,
      "metadata": {},
-     "output_type": "display_data"
+     "output_type": "execute_result"
     }
    ],
    "source": [
-    "StatsForecast.plot(df, plot_random = False) "
+    "plot_series(df)"
    ]
   },
   {
@@ -13757,12 +336,20 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "88335e6a-16a3-41e3-9390-c18148d1a932",
+   "id": "6c3811ed-d10b-4b53-b515-d937b9051c5b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from statsforecast.models import MSTL"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0a3477d7-d747-4df1-9ba4-182948c4fff9",
    "metadata": {},
    "outputs": [],
    "source": [
-    "from statsforecast.models import MSTL\n",
-    "\n",
     "# Create a list of models and instantiation parameters \n",
     "models = [MSTL(season_length = [24, 24*7])]"
    ]
@@ -13774,9 +361,8 @@
    "source": [
     "To instantiate a new StatsForecast object, we need the following parameters:\n",
     "\n",
-    "- `df`: The dataframe with the training data.\n",
     "- `models`: The list of models defined in the previous step.\n",
-    "- `freq`: A string indicating the frequency of the data. See [pandas’ available frequencies](https://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html#offset-aliases). \n",
+    "- `freq`: A string or integer indicating the frequency of the data. See [pandas’ available frequencies](https://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html#offset-aliases).\n",
     "- `n_jobs`: An integer that indicates the number of jobs used in parallel processing. Use -1 to select all cores."
    ]
   },
@@ -13788,10 +374,9 @@
    "outputs": [],
    "source": [
     "sf = StatsForecast(\n",
-    "    df = df, \n",
-    "    models = models, \n",
-    "    freq = 'H', \n",
-    "    n_jobs = -1\n",
+    "    models=models, \n",
+    "    freq=1,\n",
+    "    n_jobs=-1,\n",
     ")"
    ]
   },
@@ -13802,11 +387,12 @@
    "source": [
     "We'll now predict the next 48 hours. To do this, we'll use the `forecast` method, which requieres the following arguments: \n",
     "\n",
-    "- `h`: (int) The forecasting horizon. \n",
-    "- `level`: (list[float]) The confidence levels of the prediction intervals\n",
-    "- `fitted`: (bool = False) Returns insample predictions. \n",
+    "- `df`: The dataframe with the training data.\n",
+    "- `h`: The forecasting horizon. \n",
+    "- `level`: The confidence levels of the prediction intervals.\n",
+    "- `fitted`: Return insample predictions. \n",
     "\n",
-    "It is important that we select a `level` and set `fitted = True` since we'll need the insample forecasts and their prediction intervals to detect the anomalies. "
+    "It is important that we select a `level` and set `fitted=True` since we'll need the insample forecasts and their prediction intervals to detect the anomalies. "
    ]
   },
   {
@@ -13848,41 +434,41 @@
        "      <th>0</th>\n",
        "      <td>H1</td>\n",
        "      <td>749</td>\n",
-       "      <td>615.943970</td>\n",
-       "      <td>597.662170</td>\n",
-       "      <td>634.225708</td>\n",
+       "      <td>607.607223</td>\n",
+       "      <td>587.173250</td>\n",
+       "      <td>628.041196</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>H1</td>\n",
        "      <td>750</td>\n",
-       "      <td>559.297791</td>\n",
-       "      <td>531.316650</td>\n",
-       "      <td>587.278931</td>\n",
+       "      <td>552.364253</td>\n",
+       "      <td>521.069710</td>\n",
+       "      <td>583.658796</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td>H1</td>\n",
        "      <td>751</td>\n",
-       "      <td>515.693542</td>\n",
-       "      <td>479.151337</td>\n",
-       "      <td>552.235718</td>\n",
+       "      <td>506.785334</td>\n",
+       "      <td>465.894977</td>\n",
+       "      <td>547.675691</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td>H1</td>\n",
        "      <td>752</td>\n",
-       "      <td>480.719269</td>\n",
-       "      <td>436.241547</td>\n",
-       "      <td>525.197021</td>\n",
+       "      <td>472.906141</td>\n",
+       "      <td>423.114088</td>\n",
+       "      <td>522.698195</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td>H1</td>\n",
        "      <td>753</td>\n",
-       "      <td>467.146484</td>\n",
-       "      <td>415.199738</td>\n",
-       "      <td>519.093262</td>\n",
+       "      <td>452.240231</td>\n",
+       "      <td>394.064394</td>\n",
+       "      <td>510.416067</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -13890,11 +476,11 @@
       ],
       "text/plain": [
        "  unique_id   ds        MSTL  MSTL-lo-99  MSTL-hi-99\n",
-       "0        H1  749  615.943970  597.662170  634.225708\n",
-       "1        H1  750  559.297791  531.316650  587.278931\n",
-       "2        H1  751  515.693542  479.151337  552.235718\n",
-       "3        H1  752  480.719269  436.241547  525.197021\n",
-       "4        H1  753  467.146484  415.199738  519.093262"
+       "0        H1  749  607.607223  587.173250  628.041196\n",
+       "1        H1  750  552.364253  521.069710  583.658796\n",
+       "2        H1  751  506.785334  465.894977  547.675691\n",
+       "3        H1  752  472.906141  423.114088  522.698195\n",
+       "4        H1  753  452.240231  394.064394  510.416067"
       ]
      },
      "execution_count": null,
@@ -13906,8 +492,7 @@
     "horizon = 48\n",
     "levels = [99] \n",
     "\n",
-    "fcst = sf.forecast(h = 48, level = levels, fitted = True)\n",
-    "fcst = fcst.reset_index()\n",
+    "fcst = sf.forecast(df=df, h=48, level=levels, fitted=True)\n",
     "fcst.head()"
    ]
   },
@@ -13916,7 +501,7 @@
    "id": "df79e6ab-8784-4cb9-bc06-89b196d26510",
    "metadata": {},
    "source": [
-    "We can plot the forecasts using the `plot` method from before. "
+    "We can plot the forecasts using the `plot_series` function from before. "
    ]
   },
   {
@@ -13927,15939 +512,18 @@
    "outputs": [
     {
      "data": {
-      "application/vnd.plotly.v1+json": {
-       "config": {
-        "plotlyServerURL": "https://plot.ly"
-       },
-       "data": [
-        {
-         "legendgroup": "y",
-         "line": {
-          "color": "#1f77b4",
-          "width": 1
-         },
-         "mode": "lines",
-         "name": "y",
-         "showlegend": true,
-         "type": "scatter",
-         "x": [
-          1,
-          2,
-          3,
-          4,
-          5,
-          6,
-          7,
-          8,
-          9,
-          10,
-          11,
-          12,
-          13,
-          14,
-          15,
-          16,
-          17,
-          18,
-          19,
-          20,
-          21,
-          22,
-          23,
-          24,
-          25,
-          26,
-          27,
-          28,
-          29,
-          30,
-          31,
-          32,
-          33,
-          34,
-          35,
-          36,
-          37,
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",
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",
+      "text/plain": [
+       "<Figure size 1600x1400 with 8 Axes>"
       ]
      },
+     "execution_count": null,
      "metadata": {},
-     "output_type": "display_data"
+     "output_type": "execute_result"
     }
    ],
    "source": [
-    "StatsForecast.plot(df, fcst, plot_random = False) "
+    "plot_series(df, fcst) "
    ]
   },
   {
@@ -29913,45 +577,45 @@
        "      <td>H1</td>\n",
        "      <td>1</td>\n",
        "      <td>605.0</td>\n",
-       "      <td>604.924500</td>\n",
-       "      <td>588.010376</td>\n",
-       "      <td>621.838623</td>\n",
+       "      <td>605.098607</td>\n",
+       "      <td>584.678408</td>\n",
+       "      <td>625.518805</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>H1</td>\n",
        "      <td>2</td>\n",
        "      <td>586.0</td>\n",
-       "      <td>585.221802</td>\n",
-       "      <td>568.307678</td>\n",
-       "      <td>602.135925</td>\n",
+       "      <td>588.496673</td>\n",
+       "      <td>568.076474</td>\n",
+       "      <td>608.916872</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td>H1</td>\n",
        "      <td>3</td>\n",
        "      <td>586.0</td>\n",
-       "      <td>589.740723</td>\n",
-       "      <td>572.826599</td>\n",
-       "      <td>606.654846</td>\n",
+       "      <td>585.586856</td>\n",
+       "      <td>565.166657</td>\n",
+       "      <td>606.007054</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td>H1</td>\n",
        "      <td>4</td>\n",
        "      <td>559.0</td>\n",
-       "      <td>557.778076</td>\n",
-       "      <td>540.863953</td>\n",
-       "      <td>574.692200</td>\n",
+       "      <td>554.012377</td>\n",
+       "      <td>533.592178</td>\n",
+       "      <td>574.432576</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td>H1</td>\n",
        "      <td>5</td>\n",
        "      <td>511.0</td>\n",
-       "      <td>506.747009</td>\n",
-       "      <td>489.832886</td>\n",
-       "      <td>523.661133</td>\n",
+       "      <td>510.153508</td>\n",
+       "      <td>489.733309</td>\n",
+       "      <td>530.573707</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -29959,11 +623,11 @@
       ],
       "text/plain": [
        "  unique_id  ds      y        MSTL  MSTL-lo-99  MSTL-hi-99\n",
-       "0        H1   1  605.0  604.924500  588.010376  621.838623\n",
-       "1        H1   2  586.0  585.221802  568.307678  602.135925\n",
-       "2        H1   3  586.0  589.740723  572.826599  606.654846\n",
-       "3        H1   4  559.0  557.778076  540.863953  574.692200\n",
-       "4        H1   5  511.0  506.747009  489.832886  523.661133"
+       "0        H1   1  605.0  605.098607  584.678408  625.518805\n",
+       "1        H1   2  586.0  588.496673  568.076474  608.916872\n",
+       "2        H1   3  586.0  585.586856  565.166657  606.007054\n",
+       "3        H1   4  559.0  554.012377  533.592178  574.432576\n",
+       "4        H1   5  511.0  510.153508  489.733309  530.573707"
       ]
      },
      "execution_count": null,
@@ -29972,7 +636,7 @@
     }
    ],
    "source": [
-    "insample_forecasts = sf.forecast_fitted_values().reset_index()\n",
+    "insample_forecasts = sf.forecast_fitted_values()\n",
     "insample_forecasts.head()"
    ]
   },
@@ -30021,61 +685,61 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>168</th>\n",
+       "      <th>0</th>\n",
        "      <td>H1</td>\n",
-       "      <td>169</td>\n",
-       "      <td>813.0</td>\n",
-       "      <td>779.849792</td>\n",
-       "      <td>762.935669</td>\n",
-       "      <td>796.763916</td>\n",
+       "      <td>1</td>\n",
+       "      <td>605.0</td>\n",
+       "      <td>605.098607</td>\n",
+       "      <td>584.678408</td>\n",
+       "      <td>625.518805</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>279</th>\n",
+       "      <th>1</th>\n",
        "      <td>H1</td>\n",
-       "      <td>280</td>\n",
-       "      <td>692.0</td>\n",
-       "      <td>672.638123</td>\n",
-       "      <td>655.723999</td>\n",
-       "      <td>689.552246</td>\n",
+       "      <td>2</td>\n",
+       "      <td>586.0</td>\n",
+       "      <td>588.496673</td>\n",
+       "      <td>568.076474</td>\n",
+       "      <td>608.916872</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>289</th>\n",
+       "      <th>2</th>\n",
        "      <td>H1</td>\n",
-       "      <td>290</td>\n",
-       "      <td>770.0</td>\n",
-       "      <td>792.015442</td>\n",
-       "      <td>775.101318</td>\n",
-       "      <td>808.929565</td>\n",
+       "      <td>3</td>\n",
+       "      <td>586.0</td>\n",
+       "      <td>585.586856</td>\n",
+       "      <td>565.166657</td>\n",
+       "      <td>606.007054</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>308</th>\n",
+       "      <th>3</th>\n",
        "      <td>H1</td>\n",
-       "      <td>309</td>\n",
-       "      <td>844.0</td>\n",
-       "      <td>867.809387</td>\n",
-       "      <td>850.895203</td>\n",
-       "      <td>884.723511</td>\n",
+       "      <td>4</td>\n",
+       "      <td>559.0</td>\n",
+       "      <td>554.012377</td>\n",
+       "      <td>533.592178</td>\n",
+       "      <td>574.432576</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>336</th>\n",
+       "      <th>4</th>\n",
        "      <td>H1</td>\n",
-       "      <td>337</td>\n",
-       "      <td>853.0</td>\n",
-       "      <td>822.427002</td>\n",
-       "      <td>805.512878</td>\n",
-       "      <td>839.341187</td>\n",
+       "      <td>5</td>\n",
+       "      <td>511.0</td>\n",
+       "      <td>510.153508</td>\n",
+       "      <td>489.733309</td>\n",
+       "      <td>530.573707</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "    unique_id   ds      y        MSTL  MSTL-lo-99  MSTL-hi-99\n",
-       "168        H1  169  813.0  779.849792  762.935669  796.763916\n",
-       "279        H1  280  692.0  672.638123  655.723999  689.552246\n",
-       "289        H1  290  770.0  792.015442  775.101318  808.929565\n",
-       "308        H1  309  844.0  867.809387  850.895203  884.723511\n",
-       "336        H1  337  853.0  822.427002  805.512878  839.341187"
+       "  unique_id  ds      y        MSTL  MSTL-lo-99  MSTL-hi-99\n",
+       "0        H1   1  605.0  605.098607  584.678408  625.518805\n",
+       "1        H1   2  586.0  588.496673  568.076474  608.916872\n",
+       "2        H1   3  586.0  585.586856  565.166657  606.007054\n",
+       "3        H1   4  559.0  554.012377  533.592178  574.432576\n",
+       "4        H1   5  511.0  510.153508  489.733309  530.573707"
       ]
      },
      "execution_count": null,
@@ -30084,7 +748,7 @@
     }
    ],
    "source": [
-    "anomalies = insample_forecasts.loc[(insample_forecasts['y'] >= insample_forecasts['MSTL-hi-99']) | (insample_forecasts['y'] <= insample_forecasts['MSTL-lo-99'])]\n",
+    "anomalies = insample_forecasts[insample_forecasts['y'].between(insample_forecasts['MSTL-lo-99'], insample_forecasts['MSTL-hi-99'])]\n",
     "anomalies.head()"
    ]
   },
@@ -30093,7 +757,7 @@
    "id": "13a795b3-8a2a-4657-9692-c34d08571980",
    "metadata": {},
    "source": [
-    "We can plot the anomalies by adding the `plot_anomalies = True` argument to the `plot` method. "
+    "We can plot the anomalies by setting the `level` and the `plot_anomalies` arguments of the `plot_series` function. "
    ]
   },
   {
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",
+      "text/plain": [
+       "<Figure size 1600x1400 with 8 Axes>"
       ]
      },
+     "execution_count": null,
      "metadata": {},
-     "output_type": "display_data"
+     "output_type": "execute_result"
     }
    ],
    "source": [
-    "StatsForecast.plot(insample_forecasts, plot_random = False, plot_anomalies = True)"
+    "plot_series(forecasts_df=insample_forecasts, level=levels, plot_anomalies=True)"
    ]
   },
   {
@@ -80092,7061 +787,29 @@
    "id": "7e2f5949-ecad-4927-affd-7ad8febc4bb1",
    "metadata": {},
    "source": [
-    "If we want to take a closer look, we can use the `unique_ids` argument to select one particular time series, for example, `H10`. "
+    "If we want to take a closer look, we can use the `ids` argument to select one particular time series, for example, `H10`. "
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "88102881-20b9-4611-ad42-830316c81479",
+   "id": "f08a0f85-54c8-4274-ae7e-4a00cc9d0e7a",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "application/vnd.plotly.v1+json": {
-       "config": {
-        "plotlyServerURL": "https://plot.ly"
-       },
-       "data": [
-        {
-         "legendgroup": "y",
-         "line": {
-          "color": "#1f77b4",
-          "width": 1
-         },
-         "mode": "lines",
-         "name": "y",
-         "showlegend": true,
-         "type": "scatter",
-         "x": [
-          1,
-          2,
-          3,
-          4,
-          5,
-          6,
-          7,
-          8,
-          9,
-          10,
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-          12,
-          13,
-          14,
-          15,
-          16,
-          17,
-          18,
-          19,
-          20,
-          21,
-          22,
-          23,
-          24,
-          25,
-          26,
-          27,
-          28,
-          29,
-          30,
-          31,
-          32,
-          33,
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-          35,
-          36,
-          37,
-          38,
-          39,
-          40,
-          41,
-          42,
-          43,
-          44,
-          45,
-          46,
-          47,
-          48,
-          49,
-          50,
-          51,
-          52,
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-          55,
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+      "text/plain": [
+       "<Figure size 1600x350 with 1 Axes>"
       ]
      },
+     "execution_count": null,
      "metadata": {},
-     "output_type": "display_data"
+     "output_type": "execute_result"
     }
    ],
    "source": [
-    "StatsForecast.plot(insample_forecasts, unique_ids = ['H10'], plot_anomalies = True) "
+    "plot_series(forecasts_df=insample_forecasts, level=[99], plot_anomalies=True, ids=['H10'])"
    ]
   },
   {